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https://dev.to/hoangleitvn/the-builds-that-last-manifesto-218c#the-bottom-line | The Builds That Last Manifesto - DEV Community Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. DUMB DEV Community Follow Memes and software development shitposting Design Community Follow Web design, graphic design and everything in-between Security Forem Follow Your central hub for all things security. From ethical hacking and CTFs to GRC and career development, for beginners and pros alike Golf Forem Follow A community of golfers and golfing enthusiasts Crypto Forem Follow A collaborative community for all things Crypto—from Bitcoin to protocol development and DeFi to NFTs and market analysis. Parenting Follow A place for parents to the share the joys, challenges, and wisdom that come from raising kids. We're here for them and for each other. Forem Core Follow Discussing the core forem open source software project — features, bugs, performance, self-hosting. Maker Forem Follow A community for makers, hobbyists, and professionals to discuss Arduino, Raspberry Pi, 3D printing, and much more. HMPL.js Forem Follow For developers using HMPL.js to build fast, lightweight web apps. A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account DEV Community Close Add reaction Like Unicorn Exploding Head Raised Hands Fire Jump to Comments Save Boost More... Copy link Copy link Copied to Clipboard Share to X Share to LinkedIn Share to Facebook Share to Mastodon Share Post via... Report Abuse Hoang Le Posted on Jan 11 The Builds That Last Manifesto # productivity # programming # architecture # career Originally published on Builds That Last . I've been building and leading engineering teams for 15 years. Over 50 projects. Startups, enterprises, legacy systems, greenfield builds. Same pattern every time. Teams ship fast. Then they slow down. Not because engineers got lazy. Because the foundation was never there. At my company, we maintain systems 20+ years old. No documentation. No standards. When we ask stakeholders about business logic, they say "read the code". My teams sometimes decompile binary files just to understand what's inside. Debug at runtime because that's the only way to see how things work. Previous teams deployed code to AWS without committing to source control. Gone. This is what engineering looks like for most of us. Not the AI demos. Not the apps shipped in a weekend. The gap between posts and reality You'll see posts about vibe coding, AI-augmented development, shipping apps in hours. I'm not saying AI isn't real. I use these tools every day. The productivity gains are real. But there's a gap between what people post and what I see in actual projects. The posts show demos that work. Reality is production systems that break. The posts celebrate shipping fast. Reality is teams spending months paying back technical debt. The demo works. The demo always works. It's what comes after that separates software that lasts from software that collapses. The iceberg problem What you see is 20% above water. The shiny demos. The fast shipping. Vibe coding, agentic AI, apps built in hours. What you don't see is the 80% below: → Maintenance → Technical debt → Engineers connecting systems never meant to work together → Data inconsistencies accumulated over years → Teams spending days understanding what the previous developer was thinking That 80% is where my teams spend most of our time. And it's where the real lessons are. The speed trap I see this pattern repeat. A team starts fast. AI tools, modern stack, motivated engineers. First version ships in weeks. Everyone celebrates. Then users show up. Edge cases appear. The payment flow breaks. Data sync fails silently. Features that worked in demo crash under real load. Suddenly the team that was "moving fast" spends months fixing things. Not building new features. Just paying back debt from shipping without foundation. Leadership gets frustrated. "Why is the team slow now?" The team isn't slow. They're doing work that should have been done upfront. Speed without foundation creates the illusion of progress. Then reality catches up. Maintenance costs more than building Here's something most people don't think about until it's too late. Maintaining software costs more than building it from scratch. Think about repairing a house. You don't just fix the broken part. You investigate the structure. Remove old materials. Work around things that can't be changed. Then build the new thing. Software is the same. When you inherit a system without documentation, without standards, every change becomes an archaeology project. You spend more time understanding than building. The time you "save" by skipping foundation gets paid back with interest during maintenance. The AI paradox AI makes code generation 10x faster. That's real. AI also increases cognitive load by 30-40%. When AI generates code, someone still needs to verify it's secure. Check for edge cases. Understand the logic before shipping. Maintain it when something breaks. AI doesn't eliminate this work. It changes who's responsible for catching problems. Anthropic's CEO said 90% of their internal code is now AI-generated. The follow-up: "We're not replacing engineers". The 10% humans handle? That's the leverage zone. Architecture decisions. Debugging complex problems. Understanding why something should work, not just what it should do. AI is a turbo, not a robot. Good foundation? AI makes you faster at building good software. Bad foundation? AI makes you faster at building bad software. What this means for engineers The fundamentals matter more than ever. Everyone has access to AI now. The differentiator isn't who prompts better. It's who understands what they're building deeply enough to know when AI helps and when it hurts. Own your code. "The AI wrote it" isn't an excuse when something breaks at 2am. You shipped it. You're responsible. Read the code. Understand the logic. Ship with confidence. The 80% below water is where you build real skills. Legacy systems, maintenance, debugging. Not glamorous. But it's where you learn how software actually behaves. Don't avoid it. Embrace it. What this means for leaders You're only seeing 20% of what your team deals with. The demos work. Sprint reports look fine. But your team might be drowning in the 80% you don't see. The legacy code. Missing documentation. Tribal knowledge that walks out when someone leaves. Buying tools is easy. Training is hard. Teams that succeed with AI invested in foundation first. Standards, process, documentation. Then added AI. Teams that struggle added tools to existing chaos. Now they have faster chaos. Remove friction before adding speed. When you want to go faster, the instinct is to add more. More tools, more people, more pressure. Usually, the answer is to remove things. Remove blockers. Remove unnecessary process. Remove friction slowing your team down. The bottom line Real speed comes from clarity, not from typing faster. In the AI era, shipping is easy. Building to last is what matters. Those legacy systems with no documentation? They taught me more than any greenfield project. Not because they were well-built. Because they showed what happens when foundation is missing. Every time I build something new, I think about the engineer maintaining it in 10 years. Will they understand our decisions? Can they change things confidently? Or will they be stuck doing archaeology? That's what foundation means. Building for the people who come after. What's your experience with the 80% below water? I write about foundation-first engineering at Builds That Last . Top comments (0) Subscribe Personal Trusted User Create template Templates let you quickly answer FAQs or store snippets for re-use. Submit Preview Dismiss Code of Conduct • Report abuse Are you sure you want to hide this comment? It will become hidden in your post, but will still be visible via the comment's permalink . Hide child comments as well Confirm For further actions, you may consider blocking this person and/or reporting abuse Hoang Le Follow Engineering leader. Founder @ INNOMIZE. Building cloud-native systems for startups. Writing about platform engineering and technical leadership at Builds that Last. Location Vietnam Education The Degree of Engineer Information Technology Work Co-Founder, CEO, CTO at INNOMIZE Joined Oct 26, 2019 Trending on DEV Community Hot If a problem can be solved without AI, does AI actually make it better? # ai # architecture # discuss Prompt Engineering Won’t Fix Your Architecture # discuss # career # ai # programming MAWA - El lenguaje simple en sintaxis como Python de bajo nivel. Parte 3, Condicionales. # programming # beginners # showdev # codenewbie 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV DEV Community — A space to discuss and keep up software development and manage your software career Home DEV++ Podcasts Videos DEV Education Tracks DEV Challenges DEV Help Advertise on DEV DEV Showcase About Contact Free Postgres Database Software comparisons Forem Shop Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails . DEV Community © 2016 - 2026. We're a place where coders share, stay up-to-date and grow their careers. Log in Create account | 2026-01-13T08:48:28 |
https://dev.to/whaaat_9819bdb68eccf5b8a/why-your-secret-sharing-tool-needs-post-quantum-cryptography-today-20j3 | Why Your Secret Sharing Tool Needs Post-Quantum Cryptography Today - DEV Community Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. DUMB DEV Community Follow Memes and software development shitposting Design Community Follow Web design, graphic design and everything in-between Security Forem Follow Your central hub for all things security. From ethical hacking and CTFs to GRC and career development, for beginners and pros alike Golf Forem Follow A community of golfers and golfing enthusiasts Crypto Forem Follow A collaborative community for all things Crypto—from Bitcoin to protocol development and DeFi to NFTs and market analysis. Parenting Follow A place for parents to the share the joys, challenges, and wisdom that come from raising kids. We're here for them and for each other. Forem Core Follow Discussing the core forem open source software project — features, bugs, performance, self-hosting. Maker Forem Follow A community for makers, hobbyists, and professionals to discuss Arduino, Raspberry Pi, 3D printing, and much more. HMPL.js Forem Follow For developers using HMPL.js to build fast, lightweight web apps. A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account DEV Community Close Add reaction Like Unicorn Exploding Head Raised Hands Fire Jump to Comments Save Boost More... Copy link Copy link Copied to Clipboard Share to X Share to LinkedIn Share to Facebook Share to Mastodon Share Post via... Report Abuse Whaaat! Posted on Jan 12 Why Your Secret Sharing Tool Needs Post-Quantum Cryptography Today # security # cryptography # webdev # privacy The "Harvest Now, Decrypt Later" Threat Quantum computers capable of breaking RSA and ECC encryption don't exist yet. But here's the problem: adversaries are already collecting encrypted data today, planning to decrypt it once quantum computers arrive. For sensitive data that needs to remain confidential for years, this is a real threat. What is Post-Quantum Cryptography? Post-quantum cryptography (PQC) uses mathematical problems that are hard for both classical AND quantum computers to solve. In August 2024, NIST standardized three PQC algorithms: ML-KEM (Kyber) - Key encapsulation ML-DSA (Dilithium) - Digital signatures SLH-DSA (SPHINCS+) - Hash-based signatures Implementing PQC in a Web Application I recently added PQC support to NoTrust.now , a zero-knowledge secret sharing tool. Here's how: Key Exchange with ML-KEM-768 // Using crystals-kyber-js library import { MlKem768 } from ' crystals-kyber-js ' ; // Receiver generates keypair const [ publicKey , privateKey ] = await MlKem768 . generateKeyPair (); // Sender encapsulates a shared secret const [ ciphertext , sharedSecret ] = await MlKem768 . encapsulate ( publicKey ); // Receiver decapsulates to get the same shared secret const decryptedSecret = await MlKem768 . decapsulate ( ciphertext , privateKey ); Enter fullscreen mode Exit fullscreen mode Hybrid Approach For defense in depth, combine PQC with classical crypto: Generate ephemeral X25519 keypair (classical) Generate ephemeral ML-KEM-768 keypair (post-quantum) Combine both shared secrets: finalKey = HKDF(x25519Secret || kyberSecret) This ensures security even if one algorithm is broken. Try It Out You can test PQC secret sharing at NoTrust.now/createpqc . The encryption happens entirely in your browser - zero-knowledge architecture means the server never sees your plaintext. Resources NIST PQC Standards crystals-kyber-js Post-Quantum Cryptography for Developers What do you think about PQC adoption? Too early or just in time? Let me know in the comments. Top comments (0) Subscribe Personal Trusted User Create template Templates let you quickly answer FAQs or store snippets for re-use. Submit Preview Dismiss Code of Conduct • Report abuse Are you sure you want to hide this comment? It will become hidden in your post, but will still be visible via the comment's permalink . Hide child comments as well Confirm For further actions, you may consider blocking this person and/or reporting abuse Whaaat! Follow Joined Mar 27, 2025 Trending on DEV Community Hot SQLite Limitations and Internal Architecture # webdev # programming # database # architecture From CDN to Pixel: A React App's Journey # react # programming # webdev # performance How to Crack Any Software Developer Interview in 2026 (Updated for AI & Modern Hiring) # softwareengineering # programming # career # interview 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV DEV Community — A space to discuss and keep up software development and manage your software career Home DEV++ Podcasts Videos DEV Education Tracks DEV Challenges DEV Help Advertise on DEV DEV Showcase About Contact Free Postgres Database Software comparisons Forem Shop Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails . DEV Community © 2016 - 2026. We're a place where coders share, stay up-to-date and grow their careers. Log in Create account | 2026-01-13T08:48:28 |
https://dev.to/all-the-code/1-interview-with-phil-mcparlane-founder-of-4dayweek-io#main-content | 1. Interview with Phil McParlane founder of 4dayweek.io - DEV Community Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. DUMB DEV Community Follow Memes and software development shitposting Design Community Follow Web design, graphic design and everything in-between Security Forem Follow Your central hub for all things security. From ethical hacking and CTFs to GRC and career development, for beginners and pros alike Golf Forem Follow A community of golfers and golfing enthusiasts Crypto Forem Follow A collaborative community for all things Crypto—from Bitcoin to protocol development and DeFi to NFTs and market analysis. Parenting Follow A place for parents to the share the joys, challenges, and wisdom that come from raising kids. We're here for them and for each other. Forem Core Follow Discussing the core forem open source software project — features, bugs, performance, self-hosting. Maker Forem Follow A community for makers, hobbyists, and professionals to discuss Arduino, Raspberry Pi, 3D printing, and much more. HMPL.js Forem Follow For developers using HMPL.js to build fast, lightweight web apps. A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account DEV Community Close All the Code Follow 1. Interview with Phil McParlane founder of 4dayweek.io Jul 13 '21 play Phil runs a website called 4 Day Week all about how employees and companies can benefit from the hottest trend in recruiting right now - working just 4 days a week, We cover a number of useful areas for career switchers and new developers like CVs, https://lambdaschool.com/ portfolio sites, and how to stand out from the crowd. Episode source Personal Trusted User Create template Templates let you quickly answer FAQs or store snippets for re-use. Submit Preview Dismiss Your browser does not support the audio element. 1x initializing... × 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV DEV Community — A space to discuss and keep up software development and manage your software career Home DEV++ Podcasts Videos DEV Education Tracks DEV Challenges DEV Help Advertise on DEV DEV Showcase About Contact Free Postgres Database Software comparisons Forem Shop Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails . DEV Community © 2016 - 2026. We're a place where coders share, stay up-to-date and grow their careers. Log in Create account | 2026-01-13T08:48:28 |
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Try it for free. 59 reviews Free Trial available View Product Clumio by Commvault: Data Protection and Resilience for AWS Cisco Catalyst 8000V SD-WAN & Router - PAYG - DNA Advantage Sold by: Cisco Systems, Inc. Version: 17.18.02 The DNA Advantage Package for Catalyst 8000V (C8000V) includes all DNA Advantage feature sets and delivers multi-gigabit performance for enterprise-class networking services & VPN in the AWS cloud, as well as twice the IPSec throughput with IMIX packets. 3 reviews Starting from $2.34/hr or from $8,399.60/yr (59% savings) for software + AWS usage fees Free Trial available View Product Cisco Catalyst 8000V SD-WAN & Router - PAYG - DNA Advantage Sell in AWS Marketplace AWS Marketplace provides a new sales channel for ISVs and Consulting Partners to sell their solutions to AWS customers. We make it easy for customers to find, buy, deploy and manage software solutions, including SaaS, in a matter of minutes. 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https://stackoverflow.blog/2026/01/13/vibe-code-anything-in-a-hanselminute/ | Vibe code anything in a Hanselminute - Stack Overflow Blog Loading… Everything Productivity AI/ML Open Source Business Hub Company Releases Podcast Newsletter Stack Overflow Business Stack Internal : the knowledge intelligence layer that powers enterprise AI. Stack Data Licensing : decades of verified, technical knowledge to boost AI performance and trust. Stack Ads : engage developers where it matters — in their daily workflow. January 13, 2026 Vibe code anything in a Hanselminute Ryan welcomes back the mighty Scott Hanselman, VP of Developer Community at Microsoft, for a crossover episode about all things vibe coding. They cover the ways it can really improve the software development lifecycle, the importance of keeping human judgement in software so developers can truly understand their code, and how AI can be leveraged as a learning tool…like when Scott vibe coded a simple app over lunch. Scott last sat down with us in 2017 to discuss his journey into tech and his advice for supporting the next generation of developers. You can learn more about Scott’s work at his website . If you love the sound of his voice, you can also check out his podcasts Hanselminutes, Azure Friday , and his show with Microsoft Azure CTO Mark Russinovich: Scott & Mark Learn To . You can also check out the app he vibe coded over lunch on his GitHub . This week’s shoutout goes to user Keavon for their answer to Move Line Up/Down shortcut in Visual Studio , which won them a Populist badge. Subscribe to the podcast Get The Stack Overflow Podcast at your favorite listening service. Apple Podcasts Overcast Overcast Pocket Casts Spotify RSS feed Author s Phoebe Sajor Content Associate Staff The Stack Overflow Podcast vibe coding AI ai coding agentic AI Recent articles January 12, 2026 Now everyone can chat on Stack Overflow January 5, 2026 What’s new at Stack Overflow: January 2026 January 2, 2026 A new worst coder has entered the chat: vibe coding without code knowledge January 1, 2026 Documents: The architect’s programming language Latest Podcast January 9, 2026 Every ecommerce hero needs a Sidekick Add to the discussion Login with your stackoverflow.com account to take part in the discussion. Our Stack Stack Internal Features Customers Security Pricing Stack Data Licensing Stack Ads Partnerships Services Stack Overflow Company Leadership Press Careers Social Impact Support Contact Stack Overflow help Stack Internal help Terms Privacy policy Cookie policy Your Privacy Choices Elsewhere Blog Dev Newsletter Podcast Releases Dev Survey Site design / logo © 2026 Stack Exchange Inc. Light Dark Auto | 2026-01-13T08:48:28 |
https://www.linkedin.com/legal/privacy-policy?trk=public_profile_auth-button_privacy-policy | LinkedIn Privacy Policy Skip to main content User Agreement Summary of User Agreement Privacy Policy Professional Community Policies Cookie Policy Copyright Policy Regional Info EU Notice California Privacy Disclosure U.S. State Privacy Laws User Agreement Summary of User Agreement Privacy Policy Professional Community Policies Cookie Policy Copyright Policy Regional Info EU Notice California Privacy Disclosure U.S. State Privacy Laws Privacy Policy Effective November 3, 2025 Your Privacy Matters LinkedIn’s mission is to connect the world’s professionals to allow them to be more productive and successful. Central to this mission is our commitment to be transparent about the data we collect about you, how it is used and with whom it is shared. This Privacy Policy applies when you use our Services (described below). We offer our users choices about the data we collect, use and share as described in this Privacy Policy, Cookie Policy , Settings and our Help Center. Key Terms Choices Settings are available to Members of LinkedIn and Visitors are provided separate controls. Learn More . Table of Contents Data We Collect How We Use Your Data How We Share Information Your Choices and Obligations Other Important Information Introduction We are a social network and online platform for professionals. People use our Services to find and be found for business opportunities, to connect with others and find information. Our Privacy Policy applies to any Member or Visitor to our Services. Our registered users (“Members”) share their professional identities, engage with their network, exchange knowledge and professional insights, post and view relevant content, learn and develop skills, and find business and career opportunities. Content and data on some of our Services is viewable to non-Members (“Visitors”). We use the term “Designated Countries” to refer to countries in the European Union (EU), European Economic Area (EEA), and Switzerland. Members and Visitors located in the Designated Countries or the UK can review additional information in our European Regional Privacy Notice . Services This Privacy Policy, including our Cookie Policy applies to your use of our Services. This Privacy Policy applies to LinkedIn.com, LinkedIn-branded apps, and other LinkedIn-branded sites, apps, communications and services offered by LinkedIn (“Services”), including off-site Services, such as our ad services and the “Apply with LinkedIn” and “Share with LinkedIn” plugins, but excluding services that state that they are offered under a different privacy policy. For California residents, additional disclosures required by California law may be found in our California Privacy Disclosure . Data Controllers and Contracting Parties If you are in the “Designated Countries”, LinkedIn Ireland Unlimited Company (“LinkedIn Ireland”) will be the controller of your personal data provided to, or collected by or for, or processed in connection with our Services. If you are outside of the Designated Countries, LinkedIn Corporation will be the controller of (or business responsible for) your personal data provided to, or collected by or for, or processed in connection with our Services. As a Visitor or Member of our Services, the collection, use and sharing of your personal data is subject to this Privacy Policy and other documents referenced in this Privacy Policy, as well as updates. Change Changes to the Privacy Policy apply to your use of our Services after the “effective date.” LinkedIn (“we” or “us”) can modify this Privacy Policy, and if we make material changes to it, we will provide notice through our Services, or by other means, to provide you the opportunity to review the changes before they become effective. If you object to any changes, you may close your account. You acknowledge that your continued use of our Services after we publish or send a notice about our changes to this Privacy Policy means that the collection, use and sharing of your personal data is subject to the updated Privacy Policy, as of its effective date. 1. Data We Collect 1.1 Data You Provide To Us You provide data to create an account with us. Registration To create an account you need to provide data including your name, email address and/or mobile number, general location (e.g., city), and a password. If you register for a premium Service, you will need to provide payment (e.g., credit card) and billing information. You create your LinkedIn profile (a complete profile helps you get the most from our Services). Profile You have choices about the information on your profile, such as your education, work experience, skills, photo, city or area , endorsements, and optional verifications of information on your profile (such as verifications of your identity or workplace). You don’t have to provide additional information on your profile; however, profile information helps you to get more from our Services, including helping recruiters and business opportunities find you. It’s your choice whether to include sensitive information on your profile and to make that sensitive information public. Please do not post or add personal data to your profile that you would not want to be publicly available. You may give other data to us, such as by syncing your calendar. Posting and Uploading We collect personal data from you when you provide, post or upload it to our Services, such as when you fill out a form, (e.g., with demographic data or salary), respond to a survey, or submit a resume or fill out a job application on our Services. If you sync your calendars with our Services, we will collect your calendar meeting information to keep growing your network by suggesting connections for you and others, and by providing information about events, e.g. times, places, attendees and contacts. You don’t have to post or upload personal data; though if you don’t, it may limit your ability to grow and engage with your network over our Services. 1.2 Data From Others Others may post or write about you. Content and News You and others may post content that includes information about you (as part of articles, posts, comments, videos) on our Services. We also may collect public information about you, such as professional-related news and accomplishments, and make it available as part of our Services, including, as permitted by your settings, in notifications to others of mentions in the news . Others may sync their calendar with our Services Contact and Calendar Information We receive personal data (including contact information) about you when others import or sync their calendar with our Services, associate their contacts with Member profiles, scan and upload business cards, or send messages using our Services (including invites or connection requests). If you or others opt-in to sync email accounts with our Services, we will also collect “email header” information that we can associate with Member profiles. Customers and partners may provide data to us. Partners We receive personal data (e.g., your job title and work email address) about you when you use the services of our customers and partners, such as employers or prospective employers and applicant tracking systems providing us job application data. Related Companies and Other Services We receive data about you when you use some of the other services provided by us or our Affiliates , including Microsoft. For example, you may choose to send us information about your contacts in Microsoft apps and services, such as Outlook, for improved professional networking activities on our Services or we may receive information from Microsoft about your engagement with their sites and services. 1.3 Service Use We log your visits and use of our Services, including mobile apps. We log usage data when you visit or otherwise use our Services, including our sites, app and platform technology, such as when you view or click on content (e.g., learning video) or ads (on or off our sites and apps), perform a search, install or update one of our mobile apps, share articles or apply for jobs. We use log-ins, cookies, device information and internet protocol (“IP”) addresses to identify you and log your use. 1.4 Cookies and Similar Technologies We collect data through cookies and similar technologies. As further described in our Cookie Policy , we use cookies and similar technologies (e.g., pixels and ad tags) to collect data (e.g., device IDs) to recognize you and your device(s) on, off and across different services and devices where you have engaged with our Services. We also allow some others to use cookies as described in our Cookie Policy. If you are outside the Designated Countries, we also collect (or rely on others, including Microsoft, who collect) information about your device where you have not engaged with our Services (e.g., ad ID, IP address, operating system and browser information) so we can provide our Members with relevant ads and better understand their effectiveness. Learn more . You can opt out from our use of data from cookies and similar technologies that track your behavior on the sites of others for ad targeting and other ad-related purposes. For Visitors, the controls are here . 1.5 Your Device and Location We receive data through cookies and similar technologies When you visit or leave our Services (including some plugins and our cookies or similar technology on the sites of others), we receive the URL of both the site you came from and the one you go to and the time of your visit. We also get information about your network and device (e.g., IP address, proxy server, operating system, web browser and add-ons, device identifier and features, cookie IDs and/or ISP, or your mobile carrier). If you use our Services from a mobile device, that device will send us data about your location based on your phone settings. We will ask you to opt-in before we use GPS or other tools to identify your precise location. 1.6 Communications If you communicate through our Services, we learn about that. We collect information about you when you communicate with others through our Services (e.g., when you send, receive, or engage with messages, events, or connection requests, including our marketing communications). This may include information that indicates who you are communicating with and when. We also use automated systems to support and protect our site. For example, we use such systems to suggest possible responses to messages and to manage or block content that violates our User Agreement or Professional Community Policies . 1.7 Workplace and School Provided Information When your organization (e.g., employer or school) buys a premium Service for you to use, they give us data about you. Others buying our Services for your use, such as your employer or your school, provide us with personal data about you and your eligibility to use the Services that they purchase for use by their workers, students or alumni. For example, we will get contact information for “ LinkedIn Page ” (formerly Company Page) administrators and for authorizing users of our premium Services, such as our recruiting, sales or learning products. 1.8 Sites and Services of Others We get data when you visit sites that include our ads, cookies or plugins or when you log-in to others’ services with your LinkedIn account. We receive information about your visits and interaction with services provided by others when you log-in with LinkedIn or visit others’ services that include some of our plugins (such as “Apply with LinkedIn”) or our ads, cookies or similar technologies. 1.9 Other We are improving our Services, which means we get new data and create new ways to use data. Our Services are dynamic, and we often introduce new features, which may require the collection of new information. If we collect materially different personal data or materially change how we collect, use or share your data, we will notify you and may also modify this Privacy Policy. Key Terms Affiliates Affiliates are companies controlling, controlled by or under common control with us, including, for example, LinkedIn Ireland, LinkedIn Corporation, LinkedIn Singapore and Microsoft Corporation or any of its subsidiaries (e.g., GitHub, Inc.). 2. How We Use Your Data We use your data to provide, support, personalize and develop our Services. How we use your personal data will depend on which Services you use, how you use those Services and the choices you make in your settings . We may use your personal data to improve, develop, and provide products and Services, develop and train artificial intelligence (AI) models, develop, provide, and personalize our Services, and gain insights with the help of AI, automated systems, and inferences, so that our Services can be more relevant and useful to you and others. You can review LinkedIn's Responsible AI principles here and learn more about our approach to generative AI here . Learn more about the inferences we may make, including as to your age and gender and how we use them. 2.1 Services Our Services help you connect with others, find and be found for work and business opportunities, stay informed, get training and be more productive. We use your data to authorize access to our Services and honor your settings. Stay Connected Our Services allow you to stay in touch and up to date with colleagues, partners, clients, and other professional contacts. To do so, you can “connect” with the professionals who you choose, and who also wish to “connect” with you. Subject to your and their settings , when you connect with other Members, you will be able to search each others’ connections in order to exchange professional opportunities. We use data about you (such as your profile, profiles you have viewed or data provided through address book uploads or partner integrations) to help others find your profile, suggest connections for you and others (e.g. Members who share your contacts or job experiences) and enable you to invite others to become a Member and connect with you. You can also opt-in to allow us to use your precise location or proximity to others for certain tasks (e.g. to suggest other nearby Members for you to connect with, calculate the commute to a new job, or notify your connections that you are at a professional event). It is your choice whether to invite someone to our Services, send a connection request, or allow another Member to become your connection. When you invite someone to connect with you, your invitation will include your network and basic profile information (e.g., name, profile photo, job title, region). We will send invitation reminders to the person you invited. You can choose whether or not to share your own list of connections with your connections. Visitors have choices about how we use their data. Stay Informed Our Services allow you to stay informed about news, events and ideas regarding professional topics you care about, and from professionals you respect. Our Services also allow you to improve your professional skills, or learn new ones. We use the data we have about you (e.g., data you provide, data we collect from your engagement with our Services and inferences we make from the data we have about you), to personalize our Services for you, such as by recommending or ranking relevant content and conversations on our Services. We also use the data we have about you to suggest skills you could add to your profile and skills that you might need to pursue your next opportunity. So, if you let us know that you are interested in a new skill (e.g., by watching a learning video), we will use this information to personalize content in your feed, suggest that you follow certain Members on our site, or suggest related learning content to help you towards that new skill. We use your content, activity and other data, including your name and photo, to provide notices to your network and others. For example, subject to your settings , we may notify others that you have updated your profile, posted content, took a social action , used a feature, made new connections or were mentioned in the news . Career Our Services allow you to explore careers, evaluate educational opportunities, and seek out, and be found for, career opportunities. Your profile can be found by those looking to hire (for a job or a specific task ) or be hired by you. We will use your data to recommend jobs and show you and others relevant professional contacts (e.g., who work at a company, in an industry, function or location or have certain skills and connections). You can signal that you are interested in changing jobs and share information with recruiters. We will use your data to recommend jobs to you and you to recruiters. We may use automated systems to provide content and recommendations to help make our Services more relevant to our Members, Visitors and customers. Keeping your profile accurate and up-to-date may help you better connect to others and to opportunities through our Services. Productivity Our Services allow you to collaborate with colleagues, search for potential clients, customers, partners and others to do business with. Our Services allow you to communicate with other Members and schedule and prepare meetings with them. If your settings allow, we scan messages to provide “bots” or similar tools that facilitate tasks such as scheduling meetings, drafting responses, summarizing messages or recommending next steps. Learn more . 2.2 Premium Services Our premium Services help paying users to search for and contact Members through our Services, such as searching for and contacting job candidates, sales leads and co-workers, manage talent and promote content. We sell premium Services that provide our customers and subscribers with customized-search functionality and tools (including messaging and activity alerts) as part of our talent, marketing and sales solutions. Customers can export limited information from your profile, such as name, headline, current company, current title, and general location (e.g., Dublin), such as to manage sales leads or talent, unless you opt-out . We do not provide contact information to customers as part of these premium Services without your consent. Premium Services customers can store information they have about you in our premium Services, such as a resume or contact information or sales history. The data stored about you by these customers is subject to the policies of those customers. Other enterprise Services and features that use your data include TeamLink and LinkedIn Pages (e.g., content analytics and followers). 2.3 Communications We contact you and enable communications between Members. We offer settings to control what messages you receive and how often you receive some types of messages. We will contact you through email, mobile phone, notices posted on our websites or apps, messages to your LinkedIn inbox, and other ways through our Services, including text messages and push notifications. We will send you messages about the availability of our Services, security, or other service-related issues. We also send messages about how to use our Services, network updates, reminders, job suggestions and promotional messages from us and our partners. You may change your communication preferences at any time. Please be aware that you cannot opt out of receiving service messages from us, including security and legal notices. We also enable communications between you and others through our Services, including for example invitations , InMail , groups and messages between connections. 2.4 Advertising We serve you tailored ads both on and off our Services. We offer you choices regarding personalized ads, but you cannot opt-out of seeing non-personalized ads. We target (and measure the performance of) ads to Members, Visitors and others both on and off our Services directly or through a variety of partners, using the following data, whether separately or combined: Data collected by advertising technologies on and off our Services using pixels, ad tags (e.g., when an advertiser installs a LinkedIn tag on their website), cookies, and other device identifiers; Member-provided information (e.g., profile, contact information, title and industry); Data from your use of our Services (e.g., search history, feed, content you read, who you follow or is following you, connections, groups participation, page visits, videos you watch, clicking on an ad, etc.), including as described in Section 1.3; Information from advertising partners , vendors and publishers ; and Information inferred from data described above (e.g., using job titles from a profile to infer industry, seniority, and compensation bracket; using graduation dates to infer age or using first names or pronoun usage to infer gender; using your feed activity to infer your interests; or using device data to recognize you as a Member). Learn more about the inferences we make and how they may be used for advertising. Learn more about the ad technologies we use and our advertising services and partners. You can learn more about our compliance with laws in the Designated Countries or the UK in our European Regional Privacy Notice . We will show you ads called sponsored content which look similar to non-sponsored content, except that they are labeled as advertising (e.g., as “ad” or “sponsored”). If you take a social action (such as like, comment or share) on these ads, your action is associated with your name and viewable by others, including the advertiser. Subject to your settings , if you take a social action on the LinkedIn Services, that action may be mentioned with related ads. For example, when you like a company we may include your name and photo when their sponsored content is shown. Ad Choices You have choices regarding our uses of certain categories of data to show you more relevant ads. Member settings can be found here . For Visitors, the setting is here . Info to Ad Providers We do not share your personal data with any non-Affiliated third-party advertisers or ad networks except for: (i) hashed IDs or device identifiers (to the extent they are personal data in some countries); (ii) with your separate permission (e.g., in a lead generation form) or (iii) data already visible to any users of the Services (e.g., profile). However, if you view or click on an ad on or off our Services, the ad provider will get a signal that someone visited the page that displayed the ad, and they may, through the use of mechanisms such as cookies, determine it is you. Advertising partners can associate personal data collected by the advertiser directly from you with hashed IDs or device identifiers received from us. We seek to contractually require such advertising partners to obtain your explicit, opt-in consent before doing so where legally required, and in such instances, we take steps to ensure that consent has been provided before processing data from them. 2.5 Marketing We promote our Services to you and others. In addition to advertising our Services, we use Members’ data and content for invitations and communications promoting membership and network growth, engagement and our Services, such as by showing your connections that you have used a feature on our Services. 2.6 Developing Services and Research We develop our Services and conduct research Service Development We use data, including public feedback, to conduct research and development for our Services in order to provide you and others with a better, more intuitive and personalized experience, drive membership growth and engagement on our Services, and help connect professionals to each other and to economic opportunity. Other Research We seek to create economic opportunity for Members of the global workforce and to help them be more productive and successful. We use the personal data available to us to research social, economic and workplace trends, such as jobs availability and skills needed for these jobs and policies that help bridge the gap in various industries and geographic areas. In some cases, we work with trusted third parties to perform this research, under controls that are designed to protect your privacy. We may also make public data available to researchers to enable assessment of the safety and legal compliance of our Services. We publish or allow others to publish economic insights, presented as aggregated data rather than personal data. Surveys Polls and surveys are conducted by us and others through our Services. You are not obligated to respond to polls or surveys, and you have choices about the information you provide. You may opt-out of survey invitations. 2.7 Customer Support We use data to help you and fix problems. We use data (which can include your communications) to investigate, respond to and resolve complaints and for Service issues (e.g., bugs). 2.8 Insights That Do Not Identify You We use data to generate insights that do not identify you. We use your data to perform analytics to produce and share insights that do not identify you. For example, we may use your data to generate statistics about our Members, their profession or industry, to calculate ad impressions served or clicked on (e.g., for basic business reporting to support billing and budget management or, subject to your settings , for reports to advertisers who may use them to inform their advertising campaigns), to show Members' information about engagement with a post or LinkedIn Page , to publish visitor demographics for a Service or create demographic workforce insights, or to understand usage of our services. 2.9 Security and Investigations We use data for security, fraud prevention and investigations. We and our Affiliates, including Microsoft, may use your data (including your communications) for security purposes or to prevent or investigate possible fraud or other violations of the law, our User Agreement and/or attempts to harm our Members, Visitors, company, Affiliates, or others. Key Terms Social Action E.g. like, comment, follow, share Partners Partners include ad networks, exchanges and others 3. How We Share Information 3.1 Our Services Any data that you include on your profile and any content you post or social action (e.g., likes, follows, comments, shares) you take on our Services will be seen by others, consistent with your settings. Profile Your profile is fully visible to all Members and customers of our Services. Subject to your settings , it can also be visible to others on or off of our Services (e.g., Visitors to our Services or users of third-party search tools). As detailed in our Help Center , your settings, degree of connection with the viewing Member, the subscriptions they may have, their usage of our Services , access channels and search types (e.g., by name or by keyword) impact the availability of your profile and whether they can view certain fields in your profile. Posts, Likes, Follows, Comments, Messages Our Services allow viewing and sharing information including through posts, likes, follows and comments. When you share an article or a post (e.g., an update, image, video or article) publicly it can be viewed by everyone and re-shared anywhere (subject to your settings ). Members, Visitors and others will be able to find and see your publicly-shared content, including your name (and photo if you have provided one). In a group , posts are visible to others according to group type. For example, posts in private groups are visible to others in the group and posts in public groups are visible publicly. Your membership in groups is public and part of your profile, but you can change visibility in your settings . Any information you share through companies’ or other organizations’ pages on our Services will be viewable by those organizations and others who view those pages' content. When you follow a person or organization, you are visible to others and that “page owner” as a follower. We let senders know when you act on their message, subject to your settings where applicable. Subject to your settings , we let a Member know when you view their profile. We also give you choices about letting organizations know when you've viewed their Page. When you like or re-share or comment on another’s content (including ads), others will be able to view these “social actions” and associate it with you (e.g., your name, profile and photo if you provided it). Your employer can see how you use Services they provided for your work (e.g. as a recruiter or sales agent) and related information. We will not show them your job searches or personal messages. Enterprise Accounts Your employer may offer you access to our enterprise Services such as Recruiter, Sales Navigator, LinkedIn Learning or our advertising Campaign Manager. Your employer can review and manage your use of such enterprise Services. Depending on the enterprise Service, before you use such Service, we will ask for permission to share with your employer relevant data from your profile or use of our non-enterprise Services. For example, users of Sales Navigator will be asked to share their “social selling index”, a score calculated in part based on their personal account activity. We understand that certain activities such as job hunting and personal messages are sensitive, and so we do not share those with your employer unless you choose to share it with them through our Services (for example, by applying for a new position in the same company or mentioning your job hunting in a message to a co-worker through our Services). 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https://dev.to/kolkov/why-i-rewrote-portage-in-go-introducing-grpm-v010-56j5#comments | Why I Rewrote Portage in Go: Introducing GRPM v0.1.0 - DEV Community Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. 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A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account DEV Community Close Add reaction Like Unicorn Exploding Head Raised Hands Fire Jump to Comments Save Boost More... Copy link Copy link Copied to Clipboard Share to X Share to LinkedIn Share to Facebook Share to Mastodon Share Post via... Report Abuse Andrey Kolkov Posted on Jan 8 • Originally published at github.com Why I Rewrote Portage in Go: Introducing GRPM v0.1.0 # go # linux # opensource # programming October 2019, Gentoo Forums: Me: "I'd rather rewrite Portage on Golang." Reply: "We look forward to you having some work to show another 5 years from now." — forums.gentoo.org 6 years and ~60,000 lines of code later — here it is. If you've ever used Gentoo Linux, you know Portage. It's powerful, flexible, and... Python-based. For years — literally years — I had this persistent idea: what if Portage was written in Go? Fast compilation, single binary, no runtime dependencies, native concurrency. The idea kept coming back. Last spring, I finally decided to stop thinking and start coding. What began as "let's see how hard this is" turned into 8 months of intensive development and a complete reimplementation of a package manager. Today, I'm releasing GRPM v0.1.0 (Go Resource Package Manager) — a drop-in replacement for Portage with modern architecture and guaranteed conflict-free dependency resolution. The Problem with Traditional Package Managers Traditional dependency resolution algorithms work with heuristics. When they encounter conflicts, they often give up or make suboptimal choices. Portage's resolver is sophisticated, but it can still fail on complex dependency graphs with circular dependencies and slot conflicts. I wanted something mathematically guaranteed to find a solution if one exists. The Solution: SAT-Based Dependency Resolution GRPM uses a Boolean Satisfiability (SAT) solver at its core. Every package version becomes a Boolean variable, and every dependency becomes a logical clause: // internal/solver/gophersat_adapter.go type GophersatAdapter struct { clauses [][] int vars map [ string ] int // name@version -> var ID packages map [ string ][] * pkg . Package // name -> []versions } func ( g * GophersatAdapter ) AddPackage ( p * pkg . Package ) { key := p . Name + "@" + p . Version g . packages [ p . Name ] = append ( g . packages [ p . Name ], p ) g . getVarID ( key ) } Enter fullscreen mode Exit fullscreen mode This approach transforms dependency resolution into a well-studied mathematical problem. If a valid installation exists, the SAT solver will find it. Why SAT Solvers? Completeness : If a solution exists, it finds it Conflict handling : Multiple slot versions, blockers, USE flag constraints — all become SAT clauses Speed : Modern SAT solvers handle millions of variables GRPM uses gophersat , a pure Go SAT solver. No external dependencies, no CGO. Architecture: Clean Design with DDD GRPM follows Domain-Driven Design with a layered architecture: ┌─────────────────────────────────────┐ │ CLI / Daemon Layer │ ├─────────────────────────────────────┤ │ Application Layer │ ← Use cases ├─────────────────────────────────────┤ │ Domain Layer │ ← Business logic │ (pkg, solver) │ ├─────────────────────────────────────┤ │ Infrastructure Layer │ ← Repository, sync, install └─────────────────────────────────────┘ Enter fullscreen mode Exit fullscreen mode The domain layer knows nothing about Portage file formats or filesystem details. This makes the codebase testable and the architecture extensible. Key Features in v0.1.0 1. Full Binary Package Support GRPM supports both modern GPKG (.gpkg.tar) and legacy TBZ2 (.tbz2) formats: # Install from binary package sudo grpm install --binpkg www-servers/nginx # Build binary package from installed sudo grpm build app-misc/hello-2.10 Enter fullscreen mode Exit fullscreen mode The binary package subsystem handles: Multiple compression formats (zstd, xz, gzip, bzip2) Package signing (GPG, SSH, RSA) Remote binhost support 2. Source Building (Emerge Command) The emerge command executes full ebuild phases: # Build from source with 8 parallel jobs sudo grpm emerge --jobs 8 dev-lang/go # Show build plan first grpm emerge --pretend app-misc/hello Enter fullscreen mode Exit fullscreen mode Output: *** Dependency resolution (--pretend mode): [ebuild N ] sys-libs/zlib-1.2.13 [0] [ebuild N ] app-misc/hello-2.10 [0] Total: 2 package(s) Enter fullscreen mode Exit fullscreen mode GRPM implements all PMS phases: pkg_setup , src_unpack , src_prepare , src_configure , src_compile , src_install . 3. Native Repository Sync No external rsync binary required. GRPM uses gokrazy/rsync , a pure Go rsync implementation: # Auto-select best method sudo grpm sync # Use Git with GPG verification sudo grpm sync --method git # Native Go rsync (faster, no GPG) sudo grpm sync --method rsync Enter fullscreen mode Exit fullscreen mode 4. Daemon Architecture GRPM can run as a background service with gRPC and REST APIs: # Start daemon sudo grpm daemon # CLI auto-connects to daemon if running grpm status Enter fullscreen mode Exit fullscreen mode The daemon provides: gRPC on Unix socket ( /var/run/grpm.sock ) REST API on HTTP ( 127.0.0.1:8080 ) Job queue with conflict detection Parallel operation support 5. Transactional Updates On Btrfs or ZFS, GRPM automatically creates snapshots before package operations: # Snapshot created automatically sudo grpm install --snapshot-dir /.snapshots sys-libs/zlib Enter fullscreen mode Exit fullscreen mode If installation fails, you can roll back to the snapshot. Performance Optimization: 120x Faster Regex GRPM uses coregex instead of Go's standard regexp package. The performance difference is dramatic: Benchmark stdlib regexp coregex Speedup Compile 5,100 ns 23 ns 221x Match 185 ns 1.5 ns 123x All regex patterns are precompiled at package initialization: // internal/repo/ebuild_parser.go var ( ebuildVarRe = coregex . MustCompile ( `(?m)^([A-Z_][A-Z0-9_]*)="([^"]*)"` ) ebuildAtomVersionRe = coregex . MustCompile ( `^(.+?)-(\d.*)$` ) ) Enter fullscreen mode Exit fullscreen mode For a package manager parsing thousands of ebuilds, this optimization matters. CLI Reference GRPM provides a familiar interface for Portage users: Command Description grpm resolve Resolve dependencies with SAT solver grpm install Install packages (binary or source) grpm emerge Build packages from source grpm remove Remove installed packages grpm search Search for packages grpm info Display package information grpm sync Synchronize repository grpm update Update @world / @system packages grpm depclean Remove orphaned packages grpm status Show daemon status Pretend and Ask Modes Like Portage, GRPM supports dry-run and confirmation modes: # Show what would happen (dry-run) grpm install --pretend app-misc/hello # Ask for confirmation sudo grpm install --ask app-misc/hello Enter fullscreen mode Exit fullscreen mode Output with --ask : *** Installation plan: [ebuild N ] sys-libs/zlib-1.2.13 to / USE="..." [ebuild N ] app-misc/hello-2.10 to / USE="..." Total: 2 package(s) Would you like to merge these packages? [Yes/No] Enter fullscreen mode Exit fullscreen mode Quick Start Installation # Download wget https://github.com/grpmsoft/grpm/releases/download/v0.1.0/grpm_0.1.0_linux_x86_64.tar.gz # Extract and install tar -xzf grpm_0.1.0_linux_x86_64.tar.gz sudo install -m 0755 grpm /usr/bin/grpm # Verify grpm -V Enter fullscreen mode Exit fullscreen mode Basic Workflow # Sync repository sudo grpm sync # Search for packages grpm search firefox # Show package info grpm info dev-lang/go # Build from source sudo grpm emerge --pretend app-misc/hello sudo grpm emerge app-misc/hello # Install from binary sudo grpm install --binpkg app-misc/hello Enter fullscreen mode Exit fullscreen mode Technical Details Language : Go 1.25+ License : Apache-2.0 Platforms : Linux (x86_64, arm64, armv7, armv6, i386) Codebase : ~60,000 lines of Go Test Coverage : ~70% Dependencies GRPM uses carefully selected dependencies: Dependency Purpose gophersat SAT solver for dependency resolution cobra CLI framework grpc Daemon communication gokrazy/rsync Native rsync implementation modernc.org/sqlite Pure Go SQLite for caching coregex High-performance regex All dependencies are pure Go — no CGO required. Known Limitations GRPM v0.1.0 is a foundation release. Current limitations: Ebuild execution limited to autotools workflow (./configure && make) Limited eclass support (toolchain-funcs, eutils, multilib) No EAPI 8 features CMake/Meson build systems not supported These will be addressed in future releases. What's Next Development continues with iterative v0.x.x releases: Full EAPI 8 support CMake/Meson build system support Extended eclass support Performance optimization for large dependency graphs Community testing on real Gentoo systems v1.0.0 will come after community validation and API stabilization — no fixed timeline, quality over deadlines. Why Build This? Three reasons: Learning : Package managers are fascinating systems. Building one from scratch teaches you about dependency graphs, constraint solving, filesystem operations, and system integration. Performance : Go's performance characteristics — fast compilation, efficient memory usage, excellent concurrency — make it ideal for system tools. Community : Gentoo deserves modern tooling. If GRPM helps even a few users, the effort is worthwhile. Try It Out Repository : github.com/grpmsoft/grpm Releases : github.com/grpmsoft/grpm/releases Documentation : CLI Reference Contributions are welcome! Whether it's bug reports, feature requests, or code contributions — every bit helps. Have you tried building your own package manager? Or have experience with SAT solvers in other domains? I'd love to hear about it in the comments. Top comments (0) Subscribe Personal Trusted User Create template Templates let you quickly answer FAQs or store snippets for re-use. Submit Preview Dismiss Code of Conduct • Report abuse Are you sure you want to hide this comment? It will become hidden in your post, but will still be visible via the comment's permalink . Hide child comments as well Confirm For further actions, you may consider blocking this person and/or reporting abuse Andrey Kolkov Follow Full Stack Developer specializing in Pure Go (no CGO) & Modern Angular 1040+ ⭐ across 30+ projects | Available for consulting Joined Nov 21, 2019 More from Andrey Kolkov GRPM v0.5.0: 75% Gentoo Coverage — Rapid Development Complete # go # linux # opensource # packagemanager GxPDF v0.1.0: 100% Table Extraction Accuracy in Pure Go # go # pdf # opensource # database FURSY: The First Type-Safe HTTP Router for Go - 10M req/s with Zero Runtime Errors # go # webdev # api # opensource 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV DEV Community — A space to discuss and keep up software development and manage your software career Home DEV++ Podcasts Videos DEV Education Tracks DEV Challenges DEV Help Advertise on DEV DEV Showcase About Contact Free Postgres Database Software comparisons Forem Shop Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. 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A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account DEV Community Close TypeScript Follow Hide Optional static type-checking for JavaScript. Create Post submission guidelines Client-side, server-side, WASM, deno, it doesn't matter. This tag should be used for anything TypeScript focused. about #typescript For more information about TypeScript, visit the official site https://www.typescriptlang.org . Posts Left menu 👋 Sign in for the ability to sort posts by relevant , latest , or top . Right menu Building Browser Extensions with WXT + Angular Suguru Inatomi Suguru Inatomi Suguru Inatomi Follow Jan 12 Building Browser Extensions with WXT + Angular # angular # typescript # web # extensions Comments Add Comment 4 min read Transactional AI v0.2: Production-Ready with Full Observability Grafikui Grafikui Grafikui Follow Jan 12 Transactional AI v0.2: Production-Ready with Full Observability # ai # typescript # saga # llm Comments Add Comment 8 min read When to Use a Monorepo Devops Makeit-run Devops Makeit-run Devops Makeit-run Follow Jan 12 When to Use a Monorepo # nx # typescript # devops Comments Add Comment 7 min read Building profiler0x0: An Arcade-Style GitHub Profile Analyzer That Doesn't Judge ackermannQ ackermannQ ackermannQ Follow Jan 12 Building profiler0x0: An Arcade-Style GitHub Profile Analyzer That Doesn't Judge # webdev # github # typescript # node Comments 2 comments 5 min read I built a WASM execution firewall for AI agents — here’s why Xnfinite Xnfinite Xnfinite Follow Jan 10 I built a WASM execution firewall for AI agents — here’s why # discuss # typescript # rust # ai Comments Add Comment 2 min read Building PDFMitra: A Free PDF Tool with Next.js 14 (Complete Tech Guide) 🚀 Praveen Nayak Praveen Nayak Praveen Nayak Follow Jan 12 Building PDFMitra: A Free PDF Tool with Next.js 14 (Complete Tech Guide) 🚀 # nextjs # typescript # webdev # tutorial Comments Add Comment 3 min read React + TypeScript: The Patterns That Actually Matter Tarun Moorjani Tarun Moorjani Tarun Moorjani Follow Jan 12 React + TypeScript: The Patterns That Actually Matter # typescript # react # programming # javascript 1 reaction Comments Add Comment 8 min read Building a Casio‑Style Scientific Calculator with Vue 3 + TypeScript A0mineTV A0mineTV A0mineTV Follow Jan 12 Building a Casio‑Style Scientific Calculator with Vue 3 + TypeScript # vue # typescript # frontend # javascript Comments Add Comment 3 min read My First Open Source Contribution Was to an Authentication Project — And It Was Surprisingly Friendly Pramod K B Pramod K B Pramod K B Follow Jan 9 My First Open Source Contribution Was to an Authentication Project — And It Was Surprisingly Friendly # opensource # node # typescript # authentication Comments Add Comment 2 min read How to protect server functions with auth middleware in TanStack Start Hiroto Shioi Hiroto Shioi Hiroto Shioi Follow Jan 12 How to protect server functions with auth middleware in TanStack Start # webdev # typescript # fullstack # security 1 reaction Comments Add Comment 3 min read Building Modern Backends with Kaapi: Request validation Part 2 ShyGyver ShyGyver ShyGyver Follow Jan 11 Building Modern Backends with Kaapi: Request validation Part 2 # showdev # typescript # node # opensource Comments Add Comment 3 min read Back to basics: a solid foundation for using AI coding agents in a monorepo Juha Kangas Juha Kangas Juha Kangas Follow Jan 11 Back to basics: a solid foundation for using AI coding agents in a monorepo # tooling # monorepo # ai # typescript Comments Add Comment 2 min read Building a Regulatory-Compliant Accessibility Scanner: From WCAG to Legal Compliance Labontese Labontese Labontese Follow Jan 11 Building a Regulatory-Compliant Accessibility Scanner: From WCAG to Legal Compliance # a11y # typescript # react # webdev Comments Add Comment 6 min read Angular State Management: Signals vs Simple Properties - Which Should I Use? Mohamed Fri Mohamed Fri Mohamed Fri Follow Jan 11 Angular State Management: Signals vs Simple Properties - Which Should I Use? # discuss # performance # typescript # angular Comments Add Comment 1 min read Angular Pipes Explained — From Basics to Custom Pipes (With Real Examples) ROHIT SINGH ROHIT SINGH ROHIT SINGH Follow Jan 11 Angular Pipes Explained — From Basics to Custom Pipes (With Real Examples) # beginners # tutorial # typescript # angular Comments Add Comment 2 min read Brass TS — Building an Effect Runtime in TypeScript (Part 4) Augusto Vivaldelli Augusto Vivaldelli Augusto Vivaldelli Follow Jan 10 Brass TS — Building an Effect Runtime in TypeScript (Part 4) # architecture # opensource # tutorial # typescript Comments Add Comment 3 min read The Mythical One-Fits-All Build Tool Plugin 🦄 (It Actually Exists) Pascal Thormeier Pascal Thormeier Pascal Thormeier Follow Jan 11 The Mythical One-Fits-All Build Tool Plugin 🦄 (It Actually Exists) # typescript # javascript # webdev # programming 4 reactions Comments 3 comments 7 min read Open-Source Developer Portfolio Baraa Alshaer Baraa Alshaer Baraa Alshaer Follow Jan 10 Open-Source Developer Portfolio # opensource # portfolio # webapp # typescript 6 reactions Comments Add Comment 1 min read TypeScript --erasableSyntaxOnly 플래그, 왜 생겼고 언제 쓰나 wes5510 wes5510 wes5510 Follow Jan 10 TypeScript --erasableSyntaxOnly 플래그, 왜 생겼고 언제 쓰나 # typescript # javascript # node # webdev Comments Add Comment 2 min read The Missing Link in AI Engineering: Why TypeScript + Zod is Better Than Python Python Programming Series Python Programming Series Python Programming Series Follow Jan 9 The Missing Link in AI Engineering: Why TypeScript + Zod is Better Than Python # javascript # typescript # ai Comments Add Comment 5 min read The Real ROI of TypeScript: Beyond Catching Typos Tarun Moorjani Tarun Moorjani Tarun Moorjani Follow Jan 9 The Real ROI of TypeScript: Beyond Catching Typos # discuss # programming # typescript # beginners Comments Add Comment 10 min read The Mind Protocol: Why Your AI Agent Needs a World Before It Can Think Jung Sungwoo Jung Sungwoo Jung Sungwoo Follow Jan 9 The Mind Protocol: Why Your AI Agent Needs a World Before It Can Think # ai # architecture # typescript # agents Comments Add Comment 9 min read Zero Egress Costs: How I Built P2P File Sharing with Cloudflare kiyo-e kiyo-e kiyo-e Follow Jan 9 Zero Egress Costs: How I Built P2P File Sharing with Cloudflare # webrtc # cloudflare # hono # typescript Comments Add Comment 4 min read The TypeScript Features I Wish I'd Learned Sooner Tarun Moorjani Tarun Moorjani Tarun Moorjani Follow Jan 8 The TypeScript Features I Wish I'd Learned Sooner # discuss # typescript # beginners # webdev Comments Add Comment 9 min read Type-Safe By Design: Architecting Applications That Make Bugs Impossible Tarun Moorjani Tarun Moorjani Tarun Moorjani Follow Jan 8 Type-Safe By Design: Architecting Applications That Make Bugs Impossible # webdev # typescript # architecture # javascript Comments Add Comment 8 min read loading... trending guides/resources Composition in React: Building like a Senior React Dev 🎉 Black Friday & Cyber Monday 2025: The Best Deals for JavaScript Developers 🚀 Princípios do Clean Code Why Your Vue App Is Reactive Too Much (and How to Fix It) You're Not Building Netflix: Stop Coding Like You Are I Tested 7 Open Source Clerk Alternatives for Full-Stack Developers The Developer's Safety Net - Introduction to TypeScript Building My Own HTTP Server in TypeScript Angular 21 Developer Guide: AI Tools, Signal Forms, ARIA, and Build Optimizations Deno Vs Bun In 2025: Two Modern Approaches To JavaScript Runtime Development Nx vs. Turborepo: Integrated Ecosystem or High-Speed Task Runner? The Key Decision for Your Monorepo Angular 21 is Here: Real Features That Actually Improve Your Daily Workflow How to handle Async Rendering in Vue with Suspense? Triggering Long Jobs in Cloudflare Workers How to Use Path Aliases '@' in React Native with Expo shadcn-glass-ui: Drop-in Glassmorphism for Your shadcn/ui Projects 🎨 Build Your Own Magic Atomic State Code Map: Visualize Code Dependencies with LLM Building a Modern Image Gallery with Next.js 16, TypeScript & Unsplash API Mastering AWS CDK #3 - AWS CDK Development: Best Practices and Workflow 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV DEV Community — Your community HQ Home About Contact Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. 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https://events.linuxfoundation.org/archive/2020/kubecon-cloudnativecon-north-america/attend/experiences/ | Experiences | LF Events Skip to content Register Attend Experiences Instant Giveaways CNCF Slack Workspace Community Guidelines Diversity + Inclusion Scholarships Code of Conduct Sponsor Program Schedule Interactive Sessions Co-Located Events Contact Us View All Events Events All Upcoming Events ArgoCon Europe Past KubeCon + CloudNativeCon + other CNCF Events This event has passed. View the upcoming KubeCon + CloudNativeCon + other CNCF Events. Experiences Skip to page section Entertainment Goldie's Games Lounge Sponsored by Red Hat Networking Lounge Sponsored by Humio Zee's Selfie Snapbar Entertainment We have an epic line-up of fun and games for you this time around! Review the schedule at-a-glance as well as the full description of each gaming option. An RSVP is required 24 hours prior to each event. Due dates: Tuesday, November 17 by 6:30 PM EST for events on Wednesday Wednesday, November 18 by 6:30 PM EST for events on Thursday Thank You to Our Sponsors! Time (EST) Wednesday, November 18 Thursday, November 19 6:30 PM Escape Room Disney Movie Trivia Escape Room Marvel Cinematic Universe Trivia 8:00 PM Escape Room 90’s Music + Movies Trivia Escape Room Computer + Video Game History Trivia Escape Room Experience Don’t miss out on this immersive experience designed to stimulate your senses, emotions, and place you in environments that are believable and above all FUN! Participants will be randomly placed in teams and in a themed escape room. Can you make it out in under 60 minutes? Only time will tell… RSVP NOW Trivia We may not be able to meet at the local pub, but we can still crack a cold one and play online! Enjoy two nights with two trivia games each – all with a different theme and two meant to engage the kids at home if you’re so inclined. All players will be automatically placed in teams and prizes will be awarded for winners! Space is limited – don’t miss your chance to participate and RSVP now! Note: Due to space constrictions, families will count as one player. RSVP NOW Goldie’s Games Lounge Sponsored by Red Hat Tuesday, November 17 – Friday, November 20 Take some time to unwind from networking and sessions by trying your hand at some fun open source games sponsored by Red Hat. The games are provided by OpenJam, an Open Source Game Jam sponsored by Red Hat. Head over to OpenJam.io for more details and contribute anything from code to design and get more involved with open source game jams. Networking Lounge Sponsored by Humio Tuesday, November 17 – Friday, November 20 The networking lounge is the central hub for attendees to connect and communicate with one another. Join the Cloud Native Computing Foundation Slack workspace where you can find channels for discussing specific topics in a public setting or have private 1:1 chats to help shape meaningful connections. Zee’s Selfie Snapbar Tuesday, November 17 – Friday, November 20 Love themed selfies? Pop into our virtual booth and snap a photo with Phippy + friends! Don’t forget to post your pic in the #4-kubecon-mixandmingle channel in the CNCF Slack workspace Networking Lounge and to Twitter with #kubecon + #cloudnativecon. Tag us @CloudNativeFdn + @KubeCon_! Sponsors DIAMOND Platinum gold silver Start-up End User Diversity Supporters Media Partners Join the CNCF mailing list to learn more about KubeCon + CloudNativeCon and other upcoming CNCF events! By submitting this form, I consent to receive marketing emails from the LF and its projects regarding their events, training, research, developments, and related announcements. I understand that I can unsubscribe at any time using the links in the footers of the emails I receive. Privacy Policy . #KubeCon + #CloudNativeCon Register Experiences Instant Giveaways CNCF Slack Workspace Community Guidelines Diversity + Inclusion Scholarships Code of Conduct Sponsor Schedule Interactive Sessions Co-Located Events Contact Us Copyright © 2026 The Linux Foundation®. All rights reserved. The Linux Foundation has registered trademarks and uses trademarks. For a list of trademarks of The Linux Foundation, please see our Trademark Usage page. Linux is a registered trademark of Linus Torvalds. Terms of Use | Privacy Policy | Bylaws | Antitrust Policy | Good Standing Policy . | 2026-01-13T08:48:28 |
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A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account DEV Community Close Programming Follow Hide The magic behind computers. 💻 🪄 Create Post Older #programming posts 67 68 69 70 71 72 73 74 75 Posts Left menu 👋 Sign in for the ability to sort posts by relevant , latest , or top . Right menu Quark's Outlines: Python Modules Mike Vincent Mike Vincent Mike Vincent Follow Dec 19 '25 Quark's Outlines: Python Modules # python # programming # beginners # tutorial Comments Add Comment 4 min read Boosting Cloud Security with AI: A New Layer of Protection Malik Abualzait Malik Abualzait Malik Abualzait Follow Dec 20 '25 Boosting Cloud Security with AI: A New Layer of Protection # ai # tech # programming # tutorial Comments Add Comment 2 min read Trees Fundamentals: Structure, Terminology, and Use Cases Mohammed Shaikh Mohammed Shaikh Mohammed Shaikh Follow Dec 20 '25 Trees Fundamentals: Structure, Terminology, and Use Cases # algorithms # javascript # programming # learning Comments Add Comment 2 min read Running Transportation Operations in Production Before Going Public Emrah G. Emrah G. Emrah G. Follow Dec 19 '25 Running Transportation Operations in Production Before Going Public # webdev # programming # saas # product Comments Add Comment 2 min read PVS-Studio 7.40: support for Visual Studio 2026, Qt Creator 18, .NET 10, updated C# diagnostic rules, and more Anna Voronina Anna Voronina Anna Voronina Follow Dec 19 '25 PVS-Studio 7.40: support for Visual Studio 2026, Qt Creator 18, .NET 10, updated C# diagnostic rules, and more # dotnet # csharp # programming # vscode Comments Add Comment 6 min read Fixing PySpark “Cannot run program python3” Error on Windows Rachit Avasthi Rachit Avasthi Rachit Avasthi Follow Dec 19 '25 Fixing PySpark “Cannot run program python3” Error on Windows # programming # python # pyspark # spark Comments Add Comment 3 min read Dominando JOINs, Subqueries e Técnicas de Consulta Kauê Matos Kauê Matos Kauê Matos Follow Dec 20 '25 Dominando JOINs, Subqueries e Técnicas de Consulta # oracle # webdev # programming # database 1 reaction Comments Add Comment 6 min read DevSecOps Tools Harshitha S Harshitha S Harshitha S Follow Dec 19 '25 DevSecOps Tools # webdev # programming # ai # beginners Comments Add Comment 2 min read Native vs Flutter vs React Native Javad Javad Javad Follow Jan 1 Native vs Flutter vs React Native # discuss # webdev # programming # mobile 5 reactions Comments 1 comment 4 min read What could be the best Micro Achievement at the beginning of a Micro Business?? John Kenny John Kenny John Kenny Follow Dec 20 '25 What could be the best Micro Achievement at the beginning of a Micro Business?? # weekend # webdev # programming Comments Add Comment 1 min read The Serverless Semantic Engine: Architecting Mass Indexing Pipelines with Modal and Vector Databases Lucas Ribeiro Lucas Ribeiro Lucas Ribeiro Follow Dec 19 '25 The Serverless Semantic Engine: Architecting Mass Indexing Pipelines with Modal and Vector Databases # programming # ai # python # vectordatabase Comments Add Comment 17 min read What is OCR Pre-fill? Viktor Le Viktor Le Viktor Le Follow Dec 19 '25 What is OCR Pre-fill? # programming # ocr # paperwork # software Comments Add Comment 2 min read SQL makes me uncomfortable. Keshav Singla Keshav Singla Keshav Singla Follow Jan 1 SQL makes me uncomfortable. # discuss # programming # react # architecture 3 reactions Comments 1 comment 3 min read Introducing Automatic Security Audits for AI Ivan Ivan Ivan Follow Dec 20 '25 Introducing Automatic Security Audits for AI # ai # vibecoding # programming # javascript 5 reactions Comments Add Comment 2 min read Unlocking the Power of Connected Data: A Deep Dive into Amazon Neptune Nidheesh Thangavel Nidheesh Thangavel Nidheesh Thangavel Follow Dec 19 '25 Unlocking the Power of Connected Data: A Deep Dive into Amazon Neptune # programming # react # architecture # learning Comments Add Comment 2 min read Master CSS Navigation Bars: Complete Guide with Examples & Best Practices Satyam Gupta Satyam Gupta Satyam Gupta Follow Dec 19 '25 Master CSS Navigation Bars: Complete Guide with Examples & Best Practices # css # webdev # programming # beginners Comments Add Comment 6 min read Unleashing the Power of JavaScript Promises: A Futuristic Dive into Asynchronous Programming Visakh Vijayan Visakh Vijayan Visakh Vijayan Follow Dec 20 '25 Unleashing the Power of JavaScript Promises: A Futuristic Dive into Asynchronous Programming # javascript # programming # tutorial Comments Add Comment 1 min read A Decentralized AI Platform That Democratizes AI Infrastructure Kyro Kyro Kyro Follow Dec 18 '25 A Decentralized AI Platform That Democratizes AI Infrastructure # ai # webdev # programming # productivity Comments Add Comment 5 min read Idempotency Igor Grieder Igor Grieder Igor Grieder Follow Dec 18 '25 Idempotency # webdev # programming Comments Add Comment 3 min read The Secret Life of Go: Testing Aaron Rose Aaron Rose Aaron Rose Follow Jan 10 The Secret Life of Go: Testing # go # coding # programming # softwaredevelopment 14 reactions Comments 3 comments 6 min read Selective Ignorance in the Development World: The Architecture of Chosen Blindness Javad Javad Javad Follow Jan 1 Selective Ignorance in the Development World: The Architecture of Chosen Blindness # discuss # webdev # programming # ai 5 reactions Comments 1 comment 3 min read AI and Foundational Learning: Why the Future of Education Is Human-Led and Intelligence-Supported LLF2025 LLF2025 LLF2025 Follow Dec 23 '25 AI and Foundational Learning: Why the Future of Education Is Human-Led and Intelligence-Supported # programming # webdev # ai Comments Add Comment 4 min read The Rise of the Transformer Rod Schneider Rod Schneider Rod Schneider Follow Jan 1 The Rise of the Transformer # ai # programming # llm # developers 5 reactions Comments Add Comment 12 min read Building the Control Plane for Cognition: Scaling Google’s MCP Support with a Universal Registry mcpmessenger mcpmessenger mcpmessenger Follow Dec 23 '25 Building the Control Plane for Cognition: Scaling Google’s MCP Support with a Universal Registry # ai # mcp # langchain # programming Comments 1 comment 2 min read Building a Meta-Logger: Tracking My Work Across GitHub, Codeberg, and Bitbucket Using Go Nimai Charan Nimai Charan Nimai Charan Follow Dec 18 '25 Building a Meta-Logger: Tracking My Work Across GitHub, Codeberg, and Bitbucket Using Go # programming # go # git Comments Add Comment 4 min read loading... 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV DEV Community — Your community HQ Home About Contact Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. 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https://forem.com/t/programming/page/72 | Programming Page 72 - Forem Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. 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A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account DEV Community Close Programming Follow Hide The magic behind computers. 💻 🪄 Create Post Older #programming posts 69 70 71 72 73 74 75 76 77 Posts Left menu 👋 Sign in for the ability to sort posts by relevant , latest , or top . Right menu I Built a React Framework in 2025 - Here's What I Learned Pease Ernest Pease Ernest Pease Ernest Follow Dec 19 '25 I Built a React Framework in 2025 - Here's What I Learned # webdev # programming # javascript # react Comments Add Comment 1 min read I scaled from 1K to 100M tasks with zero memory growth — here's the cryptographic proof SeasonedAsh SeasonedAsh SeasonedAsh Follow Dec 23 '25 I scaled from 1K to 100M tasks with zero memory growth — here's the cryptographic proof # ai # programming # javascript # architecture Comments Add Comment 1 min read Horizontal Navigation Bar Guide 2025: Design, Code & Best Practices Satyam Gupta Satyam Gupta Satyam Gupta Follow Dec 19 '25 Horizontal Navigation Bar Guide 2025: Design, Code & Best Practices # css # webdev # programming # beginners Comments Add Comment 6 min read AI app builders shouldn’t stop at the UI ideatr ideatr ideatr Follow Dec 20 '25 AI app builders shouldn’t stop at the UI # vibecoding # programming # webdev # ai Comments Add Comment 2 min read Hoppscotch: The Modern, Lightweight Alternative to Postman and Bruno Chandrashekhar Kachawa Chandrashekhar Kachawa Chandrashekhar Kachawa Follow Dec 18 '25 Hoppscotch: The Modern, Lightweight Alternative to Postman and Bruno # api # webdev # programming # beginners Comments Add Comment 4 min read Python Automation: Add or Delete Images in Excel Jeremy K. Jeremy K. Jeremy K. Follow Dec 18 '25 Python Automation: Add or Delete Images in Excel # python # programming Comments Add Comment 4 min read Building a Quiet Developer Community (and Why Text-Based Conferences Matter) Prasoon Jadon Prasoon Jadon Prasoon Jadon Follow Jan 1 Building a Quiet Developer Community (and Why Text-Based Conferences Matter) # discuss # programming # learning # tutorial 2 reactions Comments Add Comment 1 min read Reusable Angular Components Library in a Monorepo (Without Nx Overkill) kafeel ahmad kafeel ahmad kafeel ahmad Follow Dec 31 '25 Reusable Angular Components Library in a Monorepo (Without Nx Overkill) # webdev # programming # angular # beginners Comments Add Comment 8 min read AI for NetSuite: Key Steps to Prepare Your ERP Nick Peterson Nick Peterson Nick Peterson Follow Dec 18 '25 AI for NetSuite: Key Steps to Prepare Your ERP # ai # programming # productivity # tutorial Comments Add Comment 4 min read PHP Snippets: Property Hooks Travis van der F. Travis van der F. Travis van der F. Follow Jan 9 PHP Snippets: Property Hooks # php # coding # programming # syntax 5 reactions Comments 4 comments 1 min read Test run Delight Iwenofu Delight Iwenofu Delight Iwenofu Follow Dec 19 '25 Test run # codepen # webdev # programming # javascript 1 reaction Comments Add Comment 1 min read Building Your Career in AI: Real Talk from the Trenches Giovanni Laquidara Giovanni Laquidara Giovanni Laquidara Follow Dec 29 '25 Building Your Career in AI: Real Talk from the Trenches # ai # career # programming # technology 1 reaction Comments Add Comment 10 min read Virtual DOM vs Reactive DOM Javad Javad Javad Follow Jan 1 Virtual DOM vs Reactive DOM # webdev # programming # javascript # opensource 5 reactions Comments 1 comment 3 min read CSS Opacity Masterclass 2025: Guide with Code Examples & Best Practices Satyam Gupta Satyam Gupta Satyam Gupta Follow Dec 18 '25 CSS Opacity Masterclass 2025: Guide with Code Examples & Best Practices # css # webdev # programming # beginners Comments Add Comment 4 min read System calls: how programs talk to the Linux kernel Zsolt Kacsándi Zsolt Kacsándi Zsolt Kacsándi Follow Dec 18 '25 System calls: how programs talk to the Linux kernel # programming # linux # tutorial Comments 2 comments 8 min read Apertre 3.0: A 30-Day Open-Source Journey for Developers 🚀 Soumyajit Mondal Soumyajit Mondal Soumyajit Mondal Follow Dec 18 '25 Apertre 3.0: A 30-Day Open-Source Journey for Developers 🚀 # opensource # webdev # programming # community Comments Add Comment 1 min read 2092. Find All People With Secret MD ARIFUL HAQUE MD ARIFUL HAQUE MD ARIFUL HAQUE Follow Dec 19 '25 2092. Find All People With Secret # php # leetcode # algorithms # programming Comments Add Comment 4 min read Lessons From Trusting AI Too Early in Production Rohit Gavali Rohit Gavali Rohit Gavali Follow Dec 19 '25 Lessons From Trusting AI Too Early in Production # webdev # programming # ai Comments Add Comment 8 min read Mentorship vs. Micromanagement in Engineering Aarti Jangid Aarti Jangid Aarti Jangid Follow Dec 18 '25 Mentorship vs. Micromanagement in Engineering # programming # webdev # beginners # devops Comments Add Comment 4 min read Writing optimal code is not optimal (sometimes) Kacper Majkowski Kacper Majkowski Kacper Majkowski Follow Dec 23 '25 Writing optimal code is not optimal (sometimes) # discuss # programming # learning Comments Add Comment 4 min read Dependency Injection in Go, Reduced to Field Tags Tetsuro Mikami Tetsuro Mikami Tetsuro Mikami Follow Dec 18 '25 Dependency Injection in Go, Reduced to Field Tags # webdev # go # programming Comments Add Comment 2 min read First time with Nextjs............ Sourav Mahato Sourav Mahato Sourav Mahato Follow Dec 18 '25 First time with Nextjs............ # nextjs # webdev # programming # javascript Comments Add Comment 2 min read Small Business Inventory App Vijay Kumar Vijay Kumar Vijay Kumar Follow Dec 19 '25 Small Business Inventory App # saas # webdev # programming # javascript Comments Add Comment 1 min read From Blocks to Meaning: Data Items and Databases Athreya aka Maneshwar Athreya aka Maneshwar Athreya aka Maneshwar Follow Dec 23 '25 From Blocks to Meaning: Data Items and Databases # webdev # programming # database # architecture 10 reactions Comments Add Comment 4 min read Building Stoqyy in Public Vijay Kumar Vijay Kumar Vijay Kumar Follow Dec 18 '25 Building Stoqyy in Public # saas # webdev # programming # ai Comments Add Comment 1 min read loading... 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV DEV Community — Your community HQ Home About Contact Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails . DEV Community © 2016 - 2026. We're a blogging-forward open source social network where we learn from one another Log in Create account | 2026-01-13T08:48:28 |
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We offer our users choices about the data we collect, use and share as described in this Privacy Policy, Cookie Policy , Settings and our Help Center. Key Terms Choices Settings are available to Members of LinkedIn and Visitors are provided separate controls. Learn More . Table of Contents Data We Collect How We Use Your Data How We Share Information Your Choices and Obligations Other Important Information Introduction We are a social network and online platform for professionals. People use our Services to find and be found for business opportunities, to connect with others and find information. Our Privacy Policy applies to any Member or Visitor to our Services. Our registered users (“Members”) share their professional identities, engage with their network, exchange knowledge and professional insights, post and view relevant content, learn and develop skills, and find business and career opportunities. Content and data on some of our Services is viewable to non-Members (“Visitors”). We use the term “Designated Countries” to refer to countries in the European Union (EU), European Economic Area (EEA), and Switzerland. Members and Visitors located in the Designated Countries or the UK can review additional information in our European Regional Privacy Notice . Services This Privacy Policy, including our Cookie Policy applies to your use of our Services. This Privacy Policy applies to LinkedIn.com, LinkedIn-branded apps, and other LinkedIn-branded sites, apps, communications and services offered by LinkedIn (“Services”), including off-site Services, such as our ad services and the “Apply with LinkedIn” and “Share with LinkedIn” plugins, but excluding services that state that they are offered under a different privacy policy. For California residents, additional disclosures required by California law may be found in our California Privacy Disclosure . Data Controllers and Contracting Parties If you are in the “Designated Countries”, LinkedIn Ireland Unlimited Company (“LinkedIn Ireland”) will be the controller of your personal data provided to, or collected by or for, or processed in connection with our Services. If you are outside of the Designated Countries, LinkedIn Corporation will be the controller of (or business responsible for) your personal data provided to, or collected by or for, or processed in connection with our Services. As a Visitor or Member of our Services, the collection, use and sharing of your personal data is subject to this Privacy Policy and other documents referenced in this Privacy Policy, as well as updates. Change Changes to the Privacy Policy apply to your use of our Services after the “effective date.” LinkedIn (“we” or “us”) can modify this Privacy Policy, and if we make material changes to it, we will provide notice through our Services, or by other means, to provide you the opportunity to review the changes before they become effective. If you object to any changes, you may close your account. You acknowledge that your continued use of our Services after we publish or send a notice about our changes to this Privacy Policy means that the collection, use and sharing of your personal data is subject to the updated Privacy Policy, as of its effective date. 1. Data We Collect 1.1 Data You Provide To Us You provide data to create an account with us. Registration To create an account you need to provide data including your name, email address and/or mobile number, general location (e.g., city), and a password. If you register for a premium Service, you will need to provide payment (e.g., credit card) and billing information. You create your LinkedIn profile (a complete profile helps you get the most from our Services). Profile You have choices about the information on your profile, such as your education, work experience, skills, photo, city or area , endorsements, and optional verifications of information on your profile (such as verifications of your identity or workplace). You don’t have to provide additional information on your profile; however, profile information helps you to get more from our Services, including helping recruiters and business opportunities find you. It’s your choice whether to include sensitive information on your profile and to make that sensitive information public. Please do not post or add personal data to your profile that you would not want to be publicly available. You may give other data to us, such as by syncing your calendar. Posting and Uploading We collect personal data from you when you provide, post or upload it to our Services, such as when you fill out a form, (e.g., with demographic data or salary), respond to a survey, or submit a resume or fill out a job application on our Services. If you sync your calendars with our Services, we will collect your calendar meeting information to keep growing your network by suggesting connections for you and others, and by providing information about events, e.g. times, places, attendees and contacts. You don’t have to post or upload personal data; though if you don’t, it may limit your ability to grow and engage with your network over our Services. 1.2 Data From Others Others may post or write about you. Content and News You and others may post content that includes information about you (as part of articles, posts, comments, videos) on our Services. We also may collect public information about you, such as professional-related news and accomplishments, and make it available as part of our Services, including, as permitted by your settings, in notifications to others of mentions in the news . Others may sync their calendar with our Services Contact and Calendar Information We receive personal data (including contact information) about you when others import or sync their calendar with our Services, associate their contacts with Member profiles, scan and upload business cards, or send messages using our Services (including invites or connection requests). If you or others opt-in to sync email accounts with our Services, we will also collect “email header” information that we can associate with Member profiles. Customers and partners may provide data to us. Partners We receive personal data (e.g., your job title and work email address) about you when you use the services of our customers and partners, such as employers or prospective employers and applicant tracking systems providing us job application data. Related Companies and Other Services We receive data about you when you use some of the other services provided by us or our Affiliates , including Microsoft. For example, you may choose to send us information about your contacts in Microsoft apps and services, such as Outlook, for improved professional networking activities on our Services or we may receive information from Microsoft about your engagement with their sites and services. 1.3 Service Use We log your visits and use of our Services, including mobile apps. We log usage data when you visit or otherwise use our Services, including our sites, app and platform technology, such as when you view or click on content (e.g., learning video) or ads (on or off our sites and apps), perform a search, install or update one of our mobile apps, share articles or apply for jobs. We use log-ins, cookies, device information and internet protocol (“IP”) addresses to identify you and log your use. 1.4 Cookies and Similar Technologies We collect data through cookies and similar technologies. As further described in our Cookie Policy , we use cookies and similar technologies (e.g., pixels and ad tags) to collect data (e.g., device IDs) to recognize you and your device(s) on, off and across different services and devices where you have engaged with our Services. We also allow some others to use cookies as described in our Cookie Policy. If you are outside the Designated Countries, we also collect (or rely on others, including Microsoft, who collect) information about your device where you have not engaged with our Services (e.g., ad ID, IP address, operating system and browser information) so we can provide our Members with relevant ads and better understand their effectiveness. Learn more . You can opt out from our use of data from cookies and similar technologies that track your behavior on the sites of others for ad targeting and other ad-related purposes. For Visitors, the controls are here . 1.5 Your Device and Location We receive data through cookies and similar technologies When you visit or leave our Services (including some plugins and our cookies or similar technology on the sites of others), we receive the URL of both the site you came from and the one you go to and the time of your visit. We also get information about your network and device (e.g., IP address, proxy server, operating system, web browser and add-ons, device identifier and features, cookie IDs and/or ISP, or your mobile carrier). If you use our Services from a mobile device, that device will send us data about your location based on your phone settings. We will ask you to opt-in before we use GPS or other tools to identify your precise location. 1.6 Communications If you communicate through our Services, we learn about that. We collect information about you when you communicate with others through our Services (e.g., when you send, receive, or engage with messages, events, or connection requests, including our marketing communications). This may include information that indicates who you are communicating with and when. We also use automated systems to support and protect our site. For example, we use such systems to suggest possible responses to messages and to manage or block content that violates our User Agreement or Professional Community Policies . 1.7 Workplace and School Provided Information When your organization (e.g., employer or school) buys a premium Service for you to use, they give us data about you. Others buying our Services for your use, such as your employer or your school, provide us with personal data about you and your eligibility to use the Services that they purchase for use by their workers, students or alumni. For example, we will get contact information for “ LinkedIn Page ” (formerly Company Page) administrators and for authorizing users of our premium Services, such as our recruiting, sales or learning products. 1.8 Sites and Services of Others We get data when you visit sites that include our ads, cookies or plugins or when you log-in to others’ services with your LinkedIn account. We receive information about your visits and interaction with services provided by others when you log-in with LinkedIn or visit others’ services that include some of our plugins (such as “Apply with LinkedIn”) or our ads, cookies or similar technologies. 1.9 Other We are improving our Services, which means we get new data and create new ways to use data. Our Services are dynamic, and we often introduce new features, which may require the collection of new information. If we collect materially different personal data or materially change how we collect, use or share your data, we will notify you and may also modify this Privacy Policy. Key Terms Affiliates Affiliates are companies controlling, controlled by or under common control with us, including, for example, LinkedIn Ireland, LinkedIn Corporation, LinkedIn Singapore and Microsoft Corporation or any of its subsidiaries (e.g., GitHub, Inc.). 2. How We Use Your Data We use your data to provide, support, personalize and develop our Services. How we use your personal data will depend on which Services you use, how you use those Services and the choices you make in your settings . We may use your personal data to improve, develop, and provide products and Services, develop and train artificial intelligence (AI) models, develop, provide, and personalize our Services, and gain insights with the help of AI, automated systems, and inferences, so that our Services can be more relevant and useful to you and others. You can review LinkedIn's Responsible AI principles here and learn more about our approach to generative AI here . Learn more about the inferences we may make, including as to your age and gender and how we use them. 2.1 Services Our Services help you connect with others, find and be found for work and business opportunities, stay informed, get training and be more productive. We use your data to authorize access to our Services and honor your settings. Stay Connected Our Services allow you to stay in touch and up to date with colleagues, partners, clients, and other professional contacts. To do so, you can “connect” with the professionals who you choose, and who also wish to “connect” with you. Subject to your and their settings , when you connect with other Members, you will be able to search each others’ connections in order to exchange professional opportunities. We use data about you (such as your profile, profiles you have viewed or data provided through address book uploads or partner integrations) to help others find your profile, suggest connections for you and others (e.g. Members who share your contacts or job experiences) and enable you to invite others to become a Member and connect with you. You can also opt-in to allow us to use your precise location or proximity to others for certain tasks (e.g. to suggest other nearby Members for you to connect with, calculate the commute to a new job, or notify your connections that you are at a professional event). It is your choice whether to invite someone to our Services, send a connection request, or allow another Member to become your connection. When you invite someone to connect with you, your invitation will include your network and basic profile information (e.g., name, profile photo, job title, region). We will send invitation reminders to the person you invited. You can choose whether or not to share your own list of connections with your connections. Visitors have choices about how we use their data. Stay Informed Our Services allow you to stay informed about news, events and ideas regarding professional topics you care about, and from professionals you respect. Our Services also allow you to improve your professional skills, or learn new ones. We use the data we have about you (e.g., data you provide, data we collect from your engagement with our Services and inferences we make from the data we have about you), to personalize our Services for you, such as by recommending or ranking relevant content and conversations on our Services. We also use the data we have about you to suggest skills you could add to your profile and skills that you might need to pursue your next opportunity. So, if you let us know that you are interested in a new skill (e.g., by watching a learning video), we will use this information to personalize content in your feed, suggest that you follow certain Members on our site, or suggest related learning content to help you towards that new skill. We use your content, activity and other data, including your name and photo, to provide notices to your network and others. For example, subject to your settings , we may notify others that you have updated your profile, posted content, took a social action , used a feature, made new connections or were mentioned in the news . Career Our Services allow you to explore careers, evaluate educational opportunities, and seek out, and be found for, career opportunities. Your profile can be found by those looking to hire (for a job or a specific task ) or be hired by you. We will use your data to recommend jobs and show you and others relevant professional contacts (e.g., who work at a company, in an industry, function or location or have certain skills and connections). You can signal that you are interested in changing jobs and share information with recruiters. We will use your data to recommend jobs to you and you to recruiters. We may use automated systems to provide content and recommendations to help make our Services more relevant to our Members, Visitors and customers. Keeping your profile accurate and up-to-date may help you better connect to others and to opportunities through our Services. Productivity Our Services allow you to collaborate with colleagues, search for potential clients, customers, partners and others to do business with. Our Services allow you to communicate with other Members and schedule and prepare meetings with them. If your settings allow, we scan messages to provide “bots” or similar tools that facilitate tasks such as scheduling meetings, drafting responses, summarizing messages or recommending next steps. Learn more . 2.2 Premium Services Our premium Services help paying users to search for and contact Members through our Services, such as searching for and contacting job candidates, sales leads and co-workers, manage talent and promote content. We sell premium Services that provide our customers and subscribers with customized-search functionality and tools (including messaging and activity alerts) as part of our talent, marketing and sales solutions. Customers can export limited information from your profile, such as name, headline, current company, current title, and general location (e.g., Dublin), such as to manage sales leads or talent, unless you opt-out . We do not provide contact information to customers as part of these premium Services without your consent. Premium Services customers can store information they have about you in our premium Services, such as a resume or contact information or sales history. The data stored about you by these customers is subject to the policies of those customers. Other enterprise Services and features that use your data include TeamLink and LinkedIn Pages (e.g., content analytics and followers). 2.3 Communications We contact you and enable communications between Members. We offer settings to control what messages you receive and how often you receive some types of messages. We will contact you through email, mobile phone, notices posted on our websites or apps, messages to your LinkedIn inbox, and other ways through our Services, including text messages and push notifications. We will send you messages about the availability of our Services, security, or other service-related issues. We also send messages about how to use our Services, network updates, reminders, job suggestions and promotional messages from us and our partners. You may change your communication preferences at any time. Please be aware that you cannot opt out of receiving service messages from us, including security and legal notices. We also enable communications between you and others through our Services, including for example invitations , InMail , groups and messages between connections. 2.4 Advertising We serve you tailored ads both on and off our Services. We offer you choices regarding personalized ads, but you cannot opt-out of seeing non-personalized ads. We target (and measure the performance of) ads to Members, Visitors and others both on and off our Services directly or through a variety of partners, using the following data, whether separately or combined: Data collected by advertising technologies on and off our Services using pixels, ad tags (e.g., when an advertiser installs a LinkedIn tag on their website), cookies, and other device identifiers; Member-provided information (e.g., profile, contact information, title and industry); Data from your use of our Services (e.g., search history, feed, content you read, who you follow or is following you, connections, groups participation, page visits, videos you watch, clicking on an ad, etc.), including as described in Section 1.3; Information from advertising partners , vendors and publishers ; and Information inferred from data described above (e.g., using job titles from a profile to infer industry, seniority, and compensation bracket; using graduation dates to infer age or using first names or pronoun usage to infer gender; using your feed activity to infer your interests; or using device data to recognize you as a Member). Learn more about the inferences we make and how they may be used for advertising. Learn more about the ad technologies we use and our advertising services and partners. You can learn more about our compliance with laws in the Designated Countries or the UK in our European Regional Privacy Notice . We will show you ads called sponsored content which look similar to non-sponsored content, except that they are labeled as advertising (e.g., as “ad” or “sponsored”). If you take a social action (such as like, comment or share) on these ads, your action is associated with your name and viewable by others, including the advertiser. Subject to your settings , if you take a social action on the LinkedIn Services, that action may be mentioned with related ads. For example, when you like a company we may include your name and photo when their sponsored content is shown. Ad Choices You have choices regarding our uses of certain categories of data to show you more relevant ads. Member settings can be found here . For Visitors, the setting is here . Info to Ad Providers We do not share your personal data with any non-Affiliated third-party advertisers or ad networks except for: (i) hashed IDs or device identifiers (to the extent they are personal data in some countries); (ii) with your separate permission (e.g., in a lead generation form) or (iii) data already visible to any users of the Services (e.g., profile). However, if you view or click on an ad on or off our Services, the ad provider will get a signal that someone visited the page that displayed the ad, and they may, through the use of mechanisms such as cookies, determine it is you. Advertising partners can associate personal data collected by the advertiser directly from you with hashed IDs or device identifiers received from us. We seek to contractually require such advertising partners to obtain your explicit, opt-in consent before doing so where legally required, and in such instances, we take steps to ensure that consent has been provided before processing data from them. 2.5 Marketing We promote our Services to you and others. In addition to advertising our Services, we use Members’ data and content for invitations and communications promoting membership and network growth, engagement and our Services, such as by showing your connections that you have used a feature on our Services. 2.6 Developing Services and Research We develop our Services and conduct research Service Development We use data, including public feedback, to conduct research and development for our Services in order to provide you and others with a better, more intuitive and personalized experience, drive membership growth and engagement on our Services, and help connect professionals to each other and to economic opportunity. Other Research We seek to create economic opportunity for Members of the global workforce and to help them be more productive and successful. We use the personal data available to us to research social, economic and workplace trends, such as jobs availability and skills needed for these jobs and policies that help bridge the gap in various industries and geographic areas. In some cases, we work with trusted third parties to perform this research, under controls that are designed to protect your privacy. We may also make public data available to researchers to enable assessment of the safety and legal compliance of our Services. We publish or allow others to publish economic insights, presented as aggregated data rather than personal data. Surveys Polls and surveys are conducted by us and others through our Services. You are not obligated to respond to polls or surveys, and you have choices about the information you provide. You may opt-out of survey invitations. 2.7 Customer Support We use data to help you and fix problems. We use data (which can include your communications) to investigate, respond to and resolve complaints and for Service issues (e.g., bugs). 2.8 Insights That Do Not Identify You We use data to generate insights that do not identify you. We use your data to perform analytics to produce and share insights that do not identify you. For example, we may use your data to generate statistics about our Members, their profession or industry, to calculate ad impressions served or clicked on (e.g., for basic business reporting to support billing and budget management or, subject to your settings , for reports to advertisers who may use them to inform their advertising campaigns), to show Members' information about engagement with a post or LinkedIn Page , to publish visitor demographics for a Service or create demographic workforce insights, or to understand usage of our services. 2.9 Security and Investigations We use data for security, fraud prevention and investigations. We and our Affiliates, including Microsoft, may use your data (including your communications) for security purposes or to prevent or investigate possible fraud or other violations of the law, our User Agreement and/or attempts to harm our Members, Visitors, company, Affiliates, or others. Key Terms Social Action E.g. like, comment, follow, share Partners Partners include ad networks, exchanges and others 3. How We Share Information 3.1 Our Services Any data that you include on your profile and any content you post or social action (e.g., likes, follows, comments, shares) you take on our Services will be seen by others, consistent with your settings. Profile Your profile is fully visible to all Members and customers of our Services. Subject to your settings , it can also be visible to others on or off of our Services (e.g., Visitors to our Services or users of third-party search tools). As detailed in our Help Center , your settings, degree of connection with the viewing Member, the subscriptions they may have, their usage of our Services , access channels and search types (e.g., by name or by keyword) impact the availability of your profile and whether they can view certain fields in your profile. Posts, Likes, Follows, Comments, Messages Our Services allow viewing and sharing information including through posts, likes, follows and comments. When you share an article or a post (e.g., an update, image, video or article) publicly it can be viewed by everyone and re-shared anywhere (subject to your settings ). Members, Visitors and others will be able to find and see your publicly-shared content, including your name (and photo if you have provided one). In a group , posts are visible to others according to group type. For example, posts in private groups are visible to others in the group and posts in public groups are visible publicly. Your membership in groups is public and part of your profile, but you can change visibility in your settings . Any information you share through companies’ or other organizations’ pages on our Services will be viewable by those organizations and others who view those pages' content. When you follow a person or organization, you are visible to others and that “page owner” as a follower. We let senders know when you act on their message, subject to your settings where applicable. Subject to your settings , we let a Member know when you view their profile. We also give you choices about letting organizations know when you've viewed their Page. When you like or re-share or comment on another’s content (including ads), others will be able to view these “social actions” and associate it with you (e.g., your name, profile and photo if you provided it). Your employer can see how you use Services they provided for your work (e.g. as a recruiter or sales agent) and related information. We will not show them your job searches or personal messages. Enterprise Accounts Your employer may offer you access to our enterprise Services such as Recruiter, Sales Navigator, LinkedIn Learning or our advertising Campaign Manager. Your employer can review and manage your use of such enterprise Services. Depending on the enterprise Service, before you use such Service, we will ask for permission to share with your employer relevant data from your profile or use of our non-enterprise Services. For example, users of Sales Navigator will be asked to share their “social selling index”, a score calculated in part based on their personal account activity. We understand that certain activities such as job hunting and personal messages are sensitive, and so we do not share those with your employer unless you choose to share it with them through our Services (for example, by applying for a new position in the same company or mentioning your job hunting in a message to a co-worker through our Services). Subject to your settings , when you use workplace tools and services (e.g., interactive employee directory tools) certain of your data may also be made available to your employer or be connected with information we receive from your employer to enable these tools and services. 3.2 Communication Archival Regulated Members may need to store communications outside of our Service. Some Members (or their employers) need, for legal or professional compliance, to archive their communications and social media activity, and will use services of others to provide these archival services. We enable archiving of messages by and to those Members outside of our Services. For example, a financial advisor needs to archive communications with her clients through our Services in order to maintain her professional financial advisor license. 3.3 Others’ Services You may link your account with others’ services so that they can look up your contacts’ profiles, post your shares on such platforms, or enable you to start conversations with your connections on such platforms. Excerpts from your profile will also appear on the services of others. Subject to your settings , other services may look up your profile. When you opt to link your account with other services, personal data (e.g., your name, title, and company) will become available to them. The sharing and use of that personal data will be described in, or linked to, a consent screen when you opt to link the accounts. For example, you may link your Twitter or WeChat account to share content from our Services into these other services, or your email provider may give you the option to upload your LinkedIn contacts into its own service. Third-party services have their own privacy policies, and you may be giving them permission to use your data in ways we would not. You may revoke the link with such accounts. The information you make available to others in our Services (e.g., information from your profile, your posts, your engagement with the posts, or message to Pages) may be available to them on other services . For example, search tools, mail and calendar applications, or talent and lead managers may show a user limited profile data (subject to your settings ), and social media management tools or other platforms may display your posts. The information retained on these services may not reflect updates you make on LinkedIn. 3.4 Related Services We share your data across our different Services and LinkedIn affiliated entities. We will share your personal data with our Affiliates to provide and develop our Services. For example, we may refer a query to Bing in some instances, such as where you'd benefit from a more up to date response in a chat experience. Subject to our European Regional Privacy Notice , we may also share with our Affiliates, including Microsoft, your (1) publicly-shared content (such as your public LinkedIn posts) to provide or develop their services and (2) personal data to improve, provide or develop their advertising services. Where allowed , we may combine information internally across the different Services covered by this Privacy Policy to help our Services be more relevant and useful to you and others. For example, we may personalize your feed or job recommendations based on your learning history. 3.5 Service Providers We may use others to help us with our Services. We use others to help us provide our Services (e.g., maintenance, analysis, audit, payments, fraud detection, customer support, marketing and development). They will have access to your information (e.g., the contents of a customer support request) as reasonably necessary to perform these tasks on our behalf and are obligated not to disclose or use it for other purposes. If you purchase a Service from us, we may use a payments service provider who may separately collect information about you (e.g., for fraud prevention or to comply with legal obligations). 3.6 Legal Disclosures We may need to share your data when we believe it’s required by law or to help protect the rights and safety of you, us or others. It is possible that we will need to disclose information about you when required by law, subpoena, or other legal process or if we have a good faith belief that disclosure is reasonably necessary to (1) investigate, prevent or take action regarding suspected or actual illegal activities or to assist government enforcement agencies; (2) enforce our agreements with you; (3) investigate and defend ourselves against any third-party claims or allegations; (4) protect the security or integrity of our Services or the products or services of our Affiliates (such as by sharing with companies facing similar threats); or (5) exercise or protect the rights and safety of LinkedIn, our Members, personnel or others. We attempt to notify Members about legal demands for their personal data when appropriate in our judgment, unless prohibited by law or court order or when the request is an emergency. We may dispute such demands when we believe, in our discretion, that the requests are overbroad, vague or lack proper authority, but we do not promise to challenge every demand. To learn more see our Data Request Guidelines and Transparency Report . 3.7 Change in Control or Sale We may share your data when our business is sold to others, but it must continue to be used in accordance with this Privacy Policy. We can also share your personal data as part of a sale, merger or change in control, or in preparation for any of these events. Any other entity which buys us or part of our business will have the right to continue to use your data, but only in the manner set out in this Privacy Policy unless you agree otherwise. 4. Your Choices & Obligations 4.1 Data Retention We keep most of your personal data for as long as your account is open. We generally retain your personal data as long as you keep your account open or as needed to provide you Services. This includes data you or others provided to us and data generated or inferred from your use of our Services. Even if you only use our Services when looking for a new job every few years, we will retain your information and keep your profile open, unless you close your account. In some cases we choose to retain certain information (e.g., insights about Services use) in a depersonalized or aggregated form. 4.2 Rights to Access and Control Your Personal Data You can access or delete your personal data. You have many choices about how your data is collected, used and shared. We provide many choices about the collection, use and sharing of your data, from deleting or correcting data you include in your profile and controlling the visibility of your posts to advertising opt-outs and communication controls. We offer you settings to control and manage the personal data we have about you. For personal data that we have about you, you can: Delete Data : You can ask us to erase or delete all or some of your personal data (e.g., if it is no longer necessary to provide Services to you). Change or Correct Data : You can edit some of your personal data through your account. You can also ask us to change, update or fix your data in certain cases, particularly if it’s inaccurate. Object to, or Limit or Restrict, Use of Data : You can ask us to stop using all or some of your personal data (e.g., if we have no legal right to keep using it) or to limit our use of it (e.g., if your personal data is inaccurate or unlawfully held). Right to Access and/or Take Your Data : You can ask us for a copy of your personal data and can ask for a copy of personal data you provided in machine readable form. Visitors can learn more about how to make these requests here . You may also contact us using the contact information below, and we will consider your request in accordance with applicable laws. Residents in the Designated Countries and the UK , and other regions , may have additional rights under their laws. 4.3 Account Closure We keep some of your data even after you close your account. If you choose to close your LinkedIn account, your personal data will generally stop being visible to others on our Services within 24 hours. We generally delete closed account information within 30 days of account closure, except as noted below. We retain your personal data even after you have closed your account if reasonably necessary to comply with our legal obligations (including law enforcement requests), meet regulatory requirements, resolve disputes, maintain security, prevent fraud and abuse (e.g., if we have restricted your account for breach of our Professional Community Policies ), enforce our User Agreement, or fulfill your request to "unsubscribe" from further messages from us. We will retain de-personalized information after your account has been closed. Information you have shared with others (e.g., through InMail, updates or group posts) will remain visible after you close your account or delete the information from your own profile or mailbox, and we do not control data that other Members have copied out of our Services. Groups content and ratings or review content associated with closed accounts will show an unknown user as the source. Your profile may continue to be displayed in the services of others (e.g., search tools) until they refresh their cache. 5. Other Important Information 5.1. Security We monitor for and try to prevent security breaches. Please use the security features available through our Services. We implement security safeguards designed to protect your data, such as HTTPS. We regularly monitor our systems for possible vulnerabilities and attacks. However, we cannot warrant the security of any information that you send us. There is no guarantee that data may not be accessed, disclosed, altered, or destroyed by breach of any of our physical, technical, or managerial safeguards. 5.2. Cross-Border Data Transfers We store and use your data outside your country. We process data both inside and outside of the United States and rely on legally-provided mechanisms to lawfully transfer data across borders. Learn more . Countries where we process data may have laws which are different from, and potentially not as protective as, the laws of your own country. 5.3 Lawful Bases for Processing We have lawful bases to collect, use and share data about you. You have choices about our use of your data. At any time, you can withdraw consent you have provided by going to settings. We will only collect and process personal data about you where we have lawful bases. Lawful bases include consent (where you have given consent), contract (where processing is necessary for the performance of a contract with you (e.g., to deliver the LinkedIn Services you have requested) and “legitimate interests.” Learn more . Where we rely on your consent to process personal data, you have the right to withdraw or decline your consent at any time and where we rely on legitimate interests, you have the right to object. Learn More . If you have any questions about the lawful bases upon which we collect and use your personal data, please contact our Data Protection Officer here . If you're located in one of the Designated Countries or the UK, you can learn more about our lawful bases for processing in our European Regional Privacy Notice . 5.4. Direct Marketing and Do Not Track Signals Our statements regarding direct marketing and “do not track” signals. We currently do not share personal data with third parties for their direct marketing purposes without your permission. Learn more about this and about our response to “do not track” signals. 5.5. Contact Information You can contact us or use other options to resolve any complaints. If you have questions or complaints regarding this Policy, please first contact LinkedIn online. You can also reach us by physical mail . If contacting us does not resolve your complaint, you have more options . 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https://dev.to/hoangleitvn/the-builds-that-last-manifesto-218c#the-speed-trap | The Builds That Last Manifesto - DEV Community Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. DUMB DEV Community Follow Memes and software development shitposting Design Community Follow Web design, graphic design and everything in-between Security Forem Follow Your central hub for all things security. From ethical hacking and CTFs to GRC and career development, for beginners and pros alike Golf Forem Follow A community of golfers and golfing enthusiasts Crypto Forem Follow A collaborative community for all things Crypto—from Bitcoin to protocol development and DeFi to NFTs and market analysis. Parenting Follow A place for parents to the share the joys, challenges, and wisdom that come from raising kids. We're here for them and for each other. Forem Core Follow Discussing the core forem open source software project — features, bugs, performance, self-hosting. Maker Forem Follow A community for makers, hobbyists, and professionals to discuss Arduino, Raspberry Pi, 3D printing, and much more. HMPL.js Forem Follow For developers using HMPL.js to build fast, lightweight web apps. A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account DEV Community Close Add reaction Like Unicorn Exploding Head Raised Hands Fire Jump to Comments Save Boost More... Copy link Copy link Copied to Clipboard Share to X Share to LinkedIn Share to Facebook Share to Mastodon Share Post via... Report Abuse Hoang Le Posted on Jan 11 The Builds That Last Manifesto # productivity # programming # architecture # career Originally published on Builds That Last . I've been building and leading engineering teams for 15 years. Over 50 projects. Startups, enterprises, legacy systems, greenfield builds. Same pattern every time. Teams ship fast. Then they slow down. Not because engineers got lazy. Because the foundation was never there. At my company, we maintain systems 20+ years old. No documentation. No standards. When we ask stakeholders about business logic, they say "read the code". My teams sometimes decompile binary files just to understand what's inside. Debug at runtime because that's the only way to see how things work. Previous teams deployed code to AWS without committing to source control. Gone. This is what engineering looks like for most of us. Not the AI demos. Not the apps shipped in a weekend. The gap between posts and reality You'll see posts about vibe coding, AI-augmented development, shipping apps in hours. I'm not saying AI isn't real. I use these tools every day. The productivity gains are real. But there's a gap between what people post and what I see in actual projects. The posts show demos that work. Reality is production systems that break. The posts celebrate shipping fast. Reality is teams spending months paying back technical debt. The demo works. The demo always works. It's what comes after that separates software that lasts from software that collapses. The iceberg problem What you see is 20% above water. The shiny demos. The fast shipping. Vibe coding, agentic AI, apps built in hours. What you don't see is the 80% below: → Maintenance → Technical debt → Engineers connecting systems never meant to work together → Data inconsistencies accumulated over years → Teams spending days understanding what the previous developer was thinking That 80% is where my teams spend most of our time. And it's where the real lessons are. The speed trap I see this pattern repeat. A team starts fast. AI tools, modern stack, motivated engineers. First version ships in weeks. Everyone celebrates. Then users show up. Edge cases appear. The payment flow breaks. Data sync fails silently. Features that worked in demo crash under real load. Suddenly the team that was "moving fast" spends months fixing things. Not building new features. Just paying back debt from shipping without foundation. Leadership gets frustrated. "Why is the team slow now?" The team isn't slow. They're doing work that should have been done upfront. Speed without foundation creates the illusion of progress. Then reality catches up. Maintenance costs more than building Here's something most people don't think about until it's too late. Maintaining software costs more than building it from scratch. Think about repairing a house. You don't just fix the broken part. You investigate the structure. Remove old materials. Work around things that can't be changed. Then build the new thing. Software is the same. When you inherit a system without documentation, without standards, every change becomes an archaeology project. You spend more time understanding than building. The time you "save" by skipping foundation gets paid back with interest during maintenance. The AI paradox AI makes code generation 10x faster. That's real. AI also increases cognitive load by 30-40%. When AI generates code, someone still needs to verify it's secure. Check for edge cases. Understand the logic before shipping. Maintain it when something breaks. AI doesn't eliminate this work. It changes who's responsible for catching problems. Anthropic's CEO said 90% of their internal code is now AI-generated. The follow-up: "We're not replacing engineers". The 10% humans handle? That's the leverage zone. Architecture decisions. Debugging complex problems. Understanding why something should work, not just what it should do. AI is a turbo, not a robot. Good foundation? AI makes you faster at building good software. Bad foundation? AI makes you faster at building bad software. What this means for engineers The fundamentals matter more than ever. Everyone has access to AI now. The differentiator isn't who prompts better. It's who understands what they're building deeply enough to know when AI helps and when it hurts. Own your code. "The AI wrote it" isn't an excuse when something breaks at 2am. You shipped it. You're responsible. Read the code. Understand the logic. Ship with confidence. The 80% below water is where you build real skills. Legacy systems, maintenance, debugging. Not glamorous. But it's where you learn how software actually behaves. Don't avoid it. Embrace it. What this means for leaders You're only seeing 20% of what your team deals with. The demos work. Sprint reports look fine. But your team might be drowning in the 80% you don't see. The legacy code. Missing documentation. Tribal knowledge that walks out when someone leaves. Buying tools is easy. Training is hard. Teams that succeed with AI invested in foundation first. Standards, process, documentation. Then added AI. Teams that struggle added tools to existing chaos. Now they have faster chaos. Remove friction before adding speed. When you want to go faster, the instinct is to add more. More tools, more people, more pressure. Usually, the answer is to remove things. Remove blockers. Remove unnecessary process. Remove friction slowing your team down. The bottom line Real speed comes from clarity, not from typing faster. In the AI era, shipping is easy. Building to last is what matters. Those legacy systems with no documentation? They taught me more than any greenfield project. Not because they were well-built. Because they showed what happens when foundation is missing. Every time I build something new, I think about the engineer maintaining it in 10 years. Will they understand our decisions? Can they change things confidently? Or will they be stuck doing archaeology? That's what foundation means. Building for the people who come after. What's your experience with the 80% below water? I write about foundation-first engineering at Builds That Last . Top comments (0) Subscribe Personal Trusted User Create template Templates let you quickly answer FAQs or store snippets for re-use. Submit Preview Dismiss Code of Conduct • Report abuse Are you sure you want to hide this comment? It will become hidden in your post, but will still be visible via the comment's permalink . Hide child comments as well Confirm For further actions, you may consider blocking this person and/or reporting abuse Hoang Le Follow Engineering leader. Founder @ INNOMIZE. Building cloud-native systems for startups. Writing about platform engineering and technical leadership at Builds that Last. Location Vietnam Education The Degree of Engineer Information Technology Work Co-Founder, CEO, CTO at INNOMIZE Joined Oct 26, 2019 Trending on DEV Community Hot If a problem can be solved without AI, does AI actually make it better? # ai # architecture # discuss Prompt Engineering Won’t Fix Your Architecture # discuss # career # ai # programming MAWA - El lenguaje simple en sintaxis como Python de bajo nivel. Parte 3, Condicionales. # programming # beginners # showdev # codenewbie 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV DEV Community — A space to discuss and keep up software development and manage your software career Home DEV++ Podcasts Videos DEV Education Tracks DEV Challenges DEV Help Advertise on DEV DEV Showcase About Contact Free Postgres Database Software comparisons Forem Shop Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails . DEV Community © 2016 - 2026. We're a place where coders share, stay up-to-date and grow their careers. Log in Create account | 2026-01-13T08:48:28 |
https://dev.to/hoangleitvn/the-builds-that-last-manifesto-218c#what-this-means-for-leaders | The Builds That Last Manifesto - DEV Community Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. DUMB DEV Community Follow Memes and software development shitposting Design Community Follow Web design, graphic design and everything in-between Security Forem Follow Your central hub for all things security. From ethical hacking and CTFs to GRC and career development, for beginners and pros alike Golf Forem Follow A community of golfers and golfing enthusiasts Crypto Forem Follow A collaborative community for all things Crypto—from Bitcoin to protocol development and DeFi to NFTs and market analysis. Parenting Follow A place for parents to the share the joys, challenges, and wisdom that come from raising kids. We're here for them and for each other. Forem Core Follow Discussing the core forem open source software project — features, bugs, performance, self-hosting. Maker Forem Follow A community for makers, hobbyists, and professionals to discuss Arduino, Raspberry Pi, 3D printing, and much more. HMPL.js Forem Follow For developers using HMPL.js to build fast, lightweight web apps. A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account DEV Community Close Add reaction Like Unicorn Exploding Head Raised Hands Fire Jump to Comments Save Boost More... Copy link Copy link Copied to Clipboard Share to X Share to LinkedIn Share to Facebook Share to Mastodon Share Post via... Report Abuse Hoang Le Posted on Jan 11 The Builds That Last Manifesto # productivity # programming # architecture # career Originally published on Builds That Last . I've been building and leading engineering teams for 15 years. Over 50 projects. Startups, enterprises, legacy systems, greenfield builds. Same pattern every time. Teams ship fast. Then they slow down. Not because engineers got lazy. Because the foundation was never there. At my company, we maintain systems 20+ years old. No documentation. No standards. When we ask stakeholders about business logic, they say "read the code". My teams sometimes decompile binary files just to understand what's inside. Debug at runtime because that's the only way to see how things work. Previous teams deployed code to AWS without committing to source control. Gone. This is what engineering looks like for most of us. Not the AI demos. Not the apps shipped in a weekend. The gap between posts and reality You'll see posts about vibe coding, AI-augmented development, shipping apps in hours. I'm not saying AI isn't real. I use these tools every day. The productivity gains are real. But there's a gap between what people post and what I see in actual projects. The posts show demos that work. Reality is production systems that break. The posts celebrate shipping fast. Reality is teams spending months paying back technical debt. The demo works. The demo always works. It's what comes after that separates software that lasts from software that collapses. The iceberg problem What you see is 20% above water. The shiny demos. The fast shipping. Vibe coding, agentic AI, apps built in hours. What you don't see is the 80% below: → Maintenance → Technical debt → Engineers connecting systems never meant to work together → Data inconsistencies accumulated over years → Teams spending days understanding what the previous developer was thinking That 80% is where my teams spend most of our time. And it's where the real lessons are. The speed trap I see this pattern repeat. A team starts fast. AI tools, modern stack, motivated engineers. First version ships in weeks. Everyone celebrates. Then users show up. Edge cases appear. The payment flow breaks. Data sync fails silently. Features that worked in demo crash under real load. Suddenly the team that was "moving fast" spends months fixing things. Not building new features. Just paying back debt from shipping without foundation. Leadership gets frustrated. "Why is the team slow now?" The team isn't slow. They're doing work that should have been done upfront. Speed without foundation creates the illusion of progress. Then reality catches up. Maintenance costs more than building Here's something most people don't think about until it's too late. Maintaining software costs more than building it from scratch. Think about repairing a house. You don't just fix the broken part. You investigate the structure. Remove old materials. Work around things that can't be changed. Then build the new thing. Software is the same. When you inherit a system without documentation, without standards, every change becomes an archaeology project. You spend more time understanding than building. The time you "save" by skipping foundation gets paid back with interest during maintenance. The AI paradox AI makes code generation 10x faster. That's real. AI also increases cognitive load by 30-40%. When AI generates code, someone still needs to verify it's secure. Check for edge cases. Understand the logic before shipping. Maintain it when something breaks. AI doesn't eliminate this work. It changes who's responsible for catching problems. Anthropic's CEO said 90% of their internal code is now AI-generated. The follow-up: "We're not replacing engineers". The 10% humans handle? That's the leverage zone. Architecture decisions. Debugging complex problems. Understanding why something should work, not just what it should do. AI is a turbo, not a robot. Good foundation? AI makes you faster at building good software. Bad foundation? AI makes you faster at building bad software. What this means for engineers The fundamentals matter more than ever. Everyone has access to AI now. The differentiator isn't who prompts better. It's who understands what they're building deeply enough to know when AI helps and when it hurts. Own your code. "The AI wrote it" isn't an excuse when something breaks at 2am. You shipped it. You're responsible. Read the code. Understand the logic. Ship with confidence. The 80% below water is where you build real skills. Legacy systems, maintenance, debugging. Not glamorous. But it's where you learn how software actually behaves. Don't avoid it. Embrace it. What this means for leaders You're only seeing 20% of what your team deals with. The demos work. Sprint reports look fine. But your team might be drowning in the 80% you don't see. The legacy code. Missing documentation. Tribal knowledge that walks out when someone leaves. Buying tools is easy. Training is hard. Teams that succeed with AI invested in foundation first. Standards, process, documentation. Then added AI. Teams that struggle added tools to existing chaos. Now they have faster chaos. Remove friction before adding speed. When you want to go faster, the instinct is to add more. More tools, more people, more pressure. Usually, the answer is to remove things. Remove blockers. Remove unnecessary process. Remove friction slowing your team down. The bottom line Real speed comes from clarity, not from typing faster. In the AI era, shipping is easy. Building to last is what matters. Those legacy systems with no documentation? They taught me more than any greenfield project. Not because they were well-built. Because they showed what happens when foundation is missing. Every time I build something new, I think about the engineer maintaining it in 10 years. Will they understand our decisions? Can they change things confidently? Or will they be stuck doing archaeology? That's what foundation means. Building for the people who come after. What's your experience with the 80% below water? I write about foundation-first engineering at Builds That Last . Top comments (0) Subscribe Personal Trusted User Create template Templates let you quickly answer FAQs or store snippets for re-use. Submit Preview Dismiss Code of Conduct • Report abuse Are you sure you want to hide this comment? It will become hidden in your post, but will still be visible via the comment's permalink . Hide child comments as well Confirm For further actions, you may consider blocking this person and/or reporting abuse Hoang Le Follow Engineering leader. Founder @ INNOMIZE. Building cloud-native systems for startups. Writing about platform engineering and technical leadership at Builds that Last. Location Vietnam Education The Degree of Engineer Information Technology Work Co-Founder, CEO, CTO at INNOMIZE Joined Oct 26, 2019 Trending on DEV Community Hot If a problem can be solved without AI, does AI actually make it better? # ai # architecture # discuss Prompt Engineering Won’t Fix Your Architecture # discuss # career # ai # programming MAWA - El lenguaje simple en sintaxis como Python de bajo nivel. Parte 3, Condicionales. # programming # beginners # showdev # codenewbie 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV DEV Community — A space to discuss and keep up software development and manage your software career Home DEV++ Podcasts Videos DEV Education Tracks DEV Challenges DEV Help Advertise on DEV DEV Showcase About Contact Free Postgres Database Software comparisons Forem Shop Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails . DEV Community © 2016 - 2026. We're a place where coders share, stay up-to-date and grow their careers. Log in Create account | 2026-01-13T08:48:28 |
https://www.linkedin.com/posts/devcyclehq_why-feature-flags-are-a-must-in-every-engineering-activity-7406778853395832832-qWz4 | Why Feature Flags Are a Must in Every Engineering Manager’s Toolkit | DevCycle Agree & Join LinkedIn By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Skip to main content LinkedIn Top Content People Learning Jobs Games Sign in Join now for free DevCycle’s Post DevCycle 1,008 followers 3w Report this post 👾 Engineering teams don’t slow down because of code 🐌 They slow down because every deployment is treated like a launch 🏎️ Feature flags fix that 👯♂️ Decouple deploy from release → ship faster, fear less, validate sooner 🔥 If you’re still shipping big-bang style… you’re burning velocity https://lnkd.in/esqHPr-f #FeatureFlags #SoftwareEng #EngManager by Mark Allen Why Feature Flags Are a Must in Every Engineering Manager’s Toolkit blog.devcycle.com 1 Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in 1,008 followers View Profile Connect Explore content categories Career Productivity Finance Soft Skills & Emotional Intelligence Project Management Education Technology Leadership Ecommerce User Experience Show more Show less LinkedIn © 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines العربية (Arabic) বাংলা (Bangla) Čeština (Czech) Dansk (Danish) Deutsch (German) Ελληνικά (Greek) English (English) Español (Spanish) فارسی (Persian) Suomi (Finnish) Français (French) हिंदी (Hindi) Magyar (Hungarian) Bahasa Indonesia (Indonesian) Italiano (Italian) עברית (Hebrew) 日本語 (Japanese) 한국어 (Korean) मराठी (Marathi) Bahasa Malaysia (Malay) Nederlands (Dutch) Norsk (Norwegian) ਪੰਜਾਬੀ (Punjabi) Polski (Polish) Português (Portuguese) Română (Romanian) Русский (Russian) Svenska (Swedish) తెలుగు (Telugu) ภาษาไทย (Thai) Tagalog (Tagalog) Türkçe (Turkish) Українська (Ukrainian) Tiếng Việt (Vietnamese) 简体中文 (Chinese (Simplified)) 正體中文 (Chinese (Traditional)) Language Sign in to view more content Create your free account or sign in to continue your search Sign in Welcome back Email or phone Password Show Forgot password? Sign in or By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . New to LinkedIn? Join now or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . | 2026-01-13T08:48:28 |
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Introduction posting With Location is the geotagging feature in the X API. This feature helps to provide a more meaningful experience for users by making posts more contextual. For instance, “Fireworks!” is much more relevant when associated with a location: “Fireworks!” from the SoMa Neighborhood in San Francisco, California. We look forward to working with the developer ecosystem to create great experiences around this functionality! User Privacy And User Control Of Their Location Information To ensure a good and safe experience, developers should be sensitive to user privacy when dealing with their location as well as provide baseline consistency in the “posting with Location” experience. Here are some key things to keep in mind that help protect user privacy and ensure users understand the impact of their actions: General Guidelines Users must opt-in to use the posting With Location feature (turn location “on”). Users must give explicit permission for their exact location to be displayed with their posts. If the location feature on your client is “sticky” — i.e. once location is turned on it always accompanies a post — you may wish to display only place names (place_ids) and allow users to further opt in to exact latitude and longitude on a per-post basis or as a specific alternative setting. When you access your users’ location data to post a post, that information should not be stored by you apart from the post without the user’s explicit permission. It must be clear to users what level of location information, if any, will be displayed in association with their post. One way you can do this is by showing a map of how this information will be displayed before the post is published. If exact latitude and longitude is part of the information (or the only information) published by the user on the client, it should be clear to the user that their exact coordinates will be published. Users should be able to turn on and off their location each time they compose a post. You must follow the terms of X’s Developer Policy – including the requirement that you may not aggregate, cache, or store location data and other geographic information from the X API, except as part of a post, and may not use such location data or geographic information on a standalone basis. Specific Examples Example 1: No addition of explicit latitude and longitude (this is the current X Web Client UI) Show a link to “Add your location” when a user composes a post; In the background, use the X reverse_geocode API call and pass the latitude, longitude, accuracy of your fix, and the user’s preferred granularity (which, by default, is “neighborhood”); Display the name for the default place (X will attempt to order these in a way that makes sense - the ordering is such that a X client can just display the list without a need for modification); Allow the user to select a different location from the list (e.g. change from “SoMa, San Francisco” to “South Beach, San Francisco”). Important: Be transparent with the user if you will be displaying exact location information. Make sure the user knows if exact location information will be displayed. Allow the user the choice to turn on or off location with every post compose. Example 2: Existing geotagging implementations A number of X client apps have the original geotagging feature (which only broadcast lat/lons without providing place_IDs) implemented. The default behavior of the API mimics this behavior – i.e. as a developer you do not need to make any changes to your existing app in order to maintain the behavior that exists today. Indeed, if you simply pass a lat/lon coordinate in to X, X will automatically reverse geocode that latitude and longitude and display the place_ID in addition to lat/lon for areas where we have data available. Ensure that it is transparent to your users that their exact coordinates are being used and displayed on X. A best practice for existing apps would be to allow users to turn on or off their location on a per-post basis. You can also enable your users to share only place_IDs instead of exact coordinates as a default, “sticky” setting. X Storage Of User Location Data X will store data passed by the client as follows: X will save all the data that a user chooses to publicly display to his/her followers. This is similar to how X stores the time stamp that says when the post was made, meaning if a user posts with their exact coordinates, X will store this exact location along with the post for as long as the post exists. Users can clear location data from their posts by clicking the “clear my location history” button on the Settings page as described here ). Summary The addition of location to a post adds an enormous amount of context and value from a user perspective. However, implementations of location in your client should be careful to take privacy and user transparency as a key consideration in designing a location-focused product. If you have any questions or comments about privacy, location, and other geo features, please contact us. Developer policy and terms Follow @XDevelopers Subscribe to developer news X platform X.com Status Accessibility Embed a post Privacy Center Transparency Center Download the X app Try Grok.com X Corp. About the company Company news Brand toolkit Jobs and internships Investors Help Help Center Using X X for creators Ads Help Center Managing your account Email Preference Center Rules and policies Contact us Developer resources Developer home Documentation Forums Communities Developer blog Engineering blog Developer terms Business resources Advertise X for business Resources and guides X for marketers Marketing insights Brand inspiration X Ads Academy © 2026 X Corp. Cookies Privacy Terms and conditions Did someone say … cookies? X and its partners use cookies to provide you with a better, safer and faster service and to support our business. Some cookies are necessary to use our services, improve our services, and make sure they work properly. Show more about your choices . 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https://www.linkedin.com/legal/privacy-policy#collect | LinkedIn Privacy Policy Skip to main content User Agreement Summary of User Agreement Privacy Policy Professional Community Policies Cookie Policy Copyright Policy Regional Info EU Notice California Privacy Disclosure U.S. State Privacy Laws User Agreement Summary of User Agreement Privacy Policy Professional Community Policies Cookie Policy Copyright Policy Regional Info EU Notice California Privacy Disclosure U.S. State Privacy Laws Privacy Policy Effective November 3, 2025 Your Privacy Matters LinkedIn’s mission is to connect the world’s professionals to allow them to be more productive and successful. Central to this mission is our commitment to be transparent about the data we collect about you, how it is used and with whom it is shared. This Privacy Policy applies when you use our Services (described below). We offer our users choices about the data we collect, use and share as described in this Privacy Policy, Cookie Policy , Settings and our Help Center. Key Terms Choices Settings are available to Members of LinkedIn and Visitors are provided separate controls. Learn More . Table of Contents Data We Collect How We Use Your Data How We Share Information Your Choices and Obligations Other Important Information Introduction We are a social network and online platform for professionals. People use our Services to find and be found for business opportunities, to connect with others and find information. Our Privacy Policy applies to any Member or Visitor to our Services. Our registered users (“Members”) share their professional identities, engage with their network, exchange knowledge and professional insights, post and view relevant content, learn and develop skills, and find business and career opportunities. Content and data on some of our Services is viewable to non-Members (“Visitors”). We use the term “Designated Countries” to refer to countries in the European Union (EU), European Economic Area (EEA), and Switzerland. Members and Visitors located in the Designated Countries or the UK can review additional information in our European Regional Privacy Notice . Services This Privacy Policy, including our Cookie Policy applies to your use of our Services. This Privacy Policy applies to LinkedIn.com, LinkedIn-branded apps, and other LinkedIn-branded sites, apps, communications and services offered by LinkedIn (“Services”), including off-site Services, such as our ad services and the “Apply with LinkedIn” and “Share with LinkedIn” plugins, but excluding services that state that they are offered under a different privacy policy. For California residents, additional disclosures required by California law may be found in our California Privacy Disclosure . Data Controllers and Contracting Parties If you are in the “Designated Countries”, LinkedIn Ireland Unlimited Company (“LinkedIn Ireland”) will be the controller of your personal data provided to, or collected by or for, or processed in connection with our Services. If you are outside of the Designated Countries, LinkedIn Corporation will be the controller of (or business responsible for) your personal data provided to, or collected by or for, or processed in connection with our Services. As a Visitor or Member of our Services, the collection, use and sharing of your personal data is subject to this Privacy Policy and other documents referenced in this Privacy Policy, as well as updates. Change Changes to the Privacy Policy apply to your use of our Services after the “effective date.” LinkedIn (“we” or “us”) can modify this Privacy Policy, and if we make material changes to it, we will provide notice through our Services, or by other means, to provide you the opportunity to review the changes before they become effective. If you object to any changes, you may close your account. You acknowledge that your continued use of our Services after we publish or send a notice about our changes to this Privacy Policy means that the collection, use and sharing of your personal data is subject to the updated Privacy Policy, as of its effective date. 1. Data We Collect 1.1 Data You Provide To Us You provide data to create an account with us. Registration To create an account you need to provide data including your name, email address and/or mobile number, general location (e.g., city), and a password. If you register for a premium Service, you will need to provide payment (e.g., credit card) and billing information. You create your LinkedIn profile (a complete profile helps you get the most from our Services). Profile You have choices about the information on your profile, such as your education, work experience, skills, photo, city or area , endorsements, and optional verifications of information on your profile (such as verifications of your identity or workplace). You don’t have to provide additional information on your profile; however, profile information helps you to get more from our Services, including helping recruiters and business opportunities find you. It’s your choice whether to include sensitive information on your profile and to make that sensitive information public. Please do not post or add personal data to your profile that you would not want to be publicly available. You may give other data to us, such as by syncing your calendar. Posting and Uploading We collect personal data from you when you provide, post or upload it to our Services, such as when you fill out a form, (e.g., with demographic data or salary), respond to a survey, or submit a resume or fill out a job application on our Services. If you sync your calendars with our Services, we will collect your calendar meeting information to keep growing your network by suggesting connections for you and others, and by providing information about events, e.g. times, places, attendees and contacts. You don’t have to post or upload personal data; though if you don’t, it may limit your ability to grow and engage with your network over our Services. 1.2 Data From Others Others may post or write about you. Content and News You and others may post content that includes information about you (as part of articles, posts, comments, videos) on our Services. We also may collect public information about you, such as professional-related news and accomplishments, and make it available as part of our Services, including, as permitted by your settings, in notifications to others of mentions in the news . Others may sync their calendar with our Services Contact and Calendar Information We receive personal data (including contact information) about you when others import or sync their calendar with our Services, associate their contacts with Member profiles, scan and upload business cards, or send messages using our Services (including invites or connection requests). If you or others opt-in to sync email accounts with our Services, we will also collect “email header” information that we can associate with Member profiles. Customers and partners may provide data to us. Partners We receive personal data (e.g., your job title and work email address) about you when you use the services of our customers and partners, such as employers or prospective employers and applicant tracking systems providing us job application data. Related Companies and Other Services We receive data about you when you use some of the other services provided by us or our Affiliates , including Microsoft. For example, you may choose to send us information about your contacts in Microsoft apps and services, such as Outlook, for improved professional networking activities on our Services or we may receive information from Microsoft about your engagement with their sites and services. 1.3 Service Use We log your visits and use of our Services, including mobile apps. We log usage data when you visit or otherwise use our Services, including our sites, app and platform technology, such as when you view or click on content (e.g., learning video) or ads (on or off our sites and apps), perform a search, install or update one of our mobile apps, share articles or apply for jobs. We use log-ins, cookies, device information and internet protocol (“IP”) addresses to identify you and log your use. 1.4 Cookies and Similar Technologies We collect data through cookies and similar technologies. As further described in our Cookie Policy , we use cookies and similar technologies (e.g., pixels and ad tags) to collect data (e.g., device IDs) to recognize you and your device(s) on, off and across different services and devices where you have engaged with our Services. We also allow some others to use cookies as described in our Cookie Policy. If you are outside the Designated Countries, we also collect (or rely on others, including Microsoft, who collect) information about your device where you have not engaged with our Services (e.g., ad ID, IP address, operating system and browser information) so we can provide our Members with relevant ads and better understand their effectiveness. Learn more . You can opt out from our use of data from cookies and similar technologies that track your behavior on the sites of others for ad targeting and other ad-related purposes. For Visitors, the controls are here . 1.5 Your Device and Location We receive data through cookies and similar technologies When you visit or leave our Services (including some plugins and our cookies or similar technology on the sites of others), we receive the URL of both the site you came from and the one you go to and the time of your visit. We also get information about your network and device (e.g., IP address, proxy server, operating system, web browser and add-ons, device identifier and features, cookie IDs and/or ISP, or your mobile carrier). If you use our Services from a mobile device, that device will send us data about your location based on your phone settings. We will ask you to opt-in before we use GPS or other tools to identify your precise location. 1.6 Communications If you communicate through our Services, we learn about that. We collect information about you when you communicate with others through our Services (e.g., when you send, receive, or engage with messages, events, or connection requests, including our marketing communications). This may include information that indicates who you are communicating with and when. We also use automated systems to support and protect our site. For example, we use such systems to suggest possible responses to messages and to manage or block content that violates our User Agreement or Professional Community Policies . 1.7 Workplace and School Provided Information When your organization (e.g., employer or school) buys a premium Service for you to use, they give us data about you. Others buying our Services for your use, such as your employer or your school, provide us with personal data about you and your eligibility to use the Services that they purchase for use by their workers, students or alumni. For example, we will get contact information for “ LinkedIn Page ” (formerly Company Page) administrators and for authorizing users of our premium Services, such as our recruiting, sales or learning products. 1.8 Sites and Services of Others We get data when you visit sites that include our ads, cookies or plugins or when you log-in to others’ services with your LinkedIn account. We receive information about your visits and interaction with services provided by others when you log-in with LinkedIn or visit others’ services that include some of our plugins (such as “Apply with LinkedIn”) or our ads, cookies or similar technologies. 1.9 Other We are improving our Services, which means we get new data and create new ways to use data. Our Services are dynamic, and we often introduce new features, which may require the collection of new information. If we collect materially different personal data or materially change how we collect, use or share your data, we will notify you and may also modify this Privacy Policy. Key Terms Affiliates Affiliates are companies controlling, controlled by or under common control with us, including, for example, LinkedIn Ireland, LinkedIn Corporation, LinkedIn Singapore and Microsoft Corporation or any of its subsidiaries (e.g., GitHub, Inc.). 2. How We Use Your Data We use your data to provide, support, personalize and develop our Services. How we use your personal data will depend on which Services you use, how you use those Services and the choices you make in your settings . We may use your personal data to improve, develop, and provide products and Services, develop and train artificial intelligence (AI) models, develop, provide, and personalize our Services, and gain insights with the help of AI, automated systems, and inferences, so that our Services can be more relevant and useful to you and others. You can review LinkedIn's Responsible AI principles here and learn more about our approach to generative AI here . Learn more about the inferences we may make, including as to your age and gender and how we use them. 2.1 Services Our Services help you connect with others, find and be found for work and business opportunities, stay informed, get training and be more productive. We use your data to authorize access to our Services and honor your settings. Stay Connected Our Services allow you to stay in touch and up to date with colleagues, partners, clients, and other professional contacts. To do so, you can “connect” with the professionals who you choose, and who also wish to “connect” with you. Subject to your and their settings , when you connect with other Members, you will be able to search each others’ connections in order to exchange professional opportunities. We use data about you (such as your profile, profiles you have viewed or data provided through address book uploads or partner integrations) to help others find your profile, suggest connections for you and others (e.g. Members who share your contacts or job experiences) and enable you to invite others to become a Member and connect with you. You can also opt-in to allow us to use your precise location or proximity to others for certain tasks (e.g. to suggest other nearby Members for you to connect with, calculate the commute to a new job, or notify your connections that you are at a professional event). It is your choice whether to invite someone to our Services, send a connection request, or allow another Member to become your connection. When you invite someone to connect with you, your invitation will include your network and basic profile information (e.g., name, profile photo, job title, region). We will send invitation reminders to the person you invited. You can choose whether or not to share your own list of connections with your connections. Visitors have choices about how we use their data. Stay Informed Our Services allow you to stay informed about news, events and ideas regarding professional topics you care about, and from professionals you respect. Our Services also allow you to improve your professional skills, or learn new ones. We use the data we have about you (e.g., data you provide, data we collect from your engagement with our Services and inferences we make from the data we have about you), to personalize our Services for you, such as by recommending or ranking relevant content and conversations on our Services. We also use the data we have about you to suggest skills you could add to your profile and skills that you might need to pursue your next opportunity. So, if you let us know that you are interested in a new skill (e.g., by watching a learning video), we will use this information to personalize content in your feed, suggest that you follow certain Members on our site, or suggest related learning content to help you towards that new skill. We use your content, activity and other data, including your name and photo, to provide notices to your network and others. For example, subject to your settings , we may notify others that you have updated your profile, posted content, took a social action , used a feature, made new connections or were mentioned in the news . Career Our Services allow you to explore careers, evaluate educational opportunities, and seek out, and be found for, career opportunities. Your profile can be found by those looking to hire (for a job or a specific task ) or be hired by you. We will use your data to recommend jobs and show you and others relevant professional contacts (e.g., who work at a company, in an industry, function or location or have certain skills and connections). You can signal that you are interested in changing jobs and share information with recruiters. We will use your data to recommend jobs to you and you to recruiters. We may use automated systems to provide content and recommendations to help make our Services more relevant to our Members, Visitors and customers. Keeping your profile accurate and up-to-date may help you better connect to others and to opportunities through our Services. Productivity Our Services allow you to collaborate with colleagues, search for potential clients, customers, partners and others to do business with. Our Services allow you to communicate with other Members and schedule and prepare meetings with them. If your settings allow, we scan messages to provide “bots” or similar tools that facilitate tasks such as scheduling meetings, drafting responses, summarizing messages or recommending next steps. Learn more . 2.2 Premium Services Our premium Services help paying users to search for and contact Members through our Services, such as searching for and contacting job candidates, sales leads and co-workers, manage talent and promote content. We sell premium Services that provide our customers and subscribers with customized-search functionality and tools (including messaging and activity alerts) as part of our talent, marketing and sales solutions. Customers can export limited information from your profile, such as name, headline, current company, current title, and general location (e.g., Dublin), such as to manage sales leads or talent, unless you opt-out . We do not provide contact information to customers as part of these premium Services without your consent. Premium Services customers can store information they have about you in our premium Services, such as a resume or contact information or sales history. The data stored about you by these customers is subject to the policies of those customers. Other enterprise Services and features that use your data include TeamLink and LinkedIn Pages (e.g., content analytics and followers). 2.3 Communications We contact you and enable communications between Members. We offer settings to control what messages you receive and how often you receive some types of messages. We will contact you through email, mobile phone, notices posted on our websites or apps, messages to your LinkedIn inbox, and other ways through our Services, including text messages and push notifications. We will send you messages about the availability of our Services, security, or other service-related issues. We also send messages about how to use our Services, network updates, reminders, job suggestions and promotional messages from us and our partners. You may change your communication preferences at any time. Please be aware that you cannot opt out of receiving service messages from us, including security and legal notices. We also enable communications between you and others through our Services, including for example invitations , InMail , groups and messages between connections. 2.4 Advertising We serve you tailored ads both on and off our Services. We offer you choices regarding personalized ads, but you cannot opt-out of seeing non-personalized ads. We target (and measure the performance of) ads to Members, Visitors and others both on and off our Services directly or through a variety of partners, using the following data, whether separately or combined: Data collected by advertising technologies on and off our Services using pixels, ad tags (e.g., when an advertiser installs a LinkedIn tag on their website), cookies, and other device identifiers; Member-provided information (e.g., profile, contact information, title and industry); Data from your use of our Services (e.g., search history, feed, content you read, who you follow or is following you, connections, groups participation, page visits, videos you watch, clicking on an ad, etc.), including as described in Section 1.3; Information from advertising partners , vendors and publishers ; and Information inferred from data described above (e.g., using job titles from a profile to infer industry, seniority, and compensation bracket; using graduation dates to infer age or using first names or pronoun usage to infer gender; using your feed activity to infer your interests; or using device data to recognize you as a Member). Learn more about the inferences we make and how they may be used for advertising. Learn more about the ad technologies we use and our advertising services and partners. You can learn more about our compliance with laws in the Designated Countries or the UK in our European Regional Privacy Notice . We will show you ads called sponsored content which look similar to non-sponsored content, except that they are labeled as advertising (e.g., as “ad” or “sponsored”). If you take a social action (such as like, comment or share) on these ads, your action is associated with your name and viewable by others, including the advertiser. Subject to your settings , if you take a social action on the LinkedIn Services, that action may be mentioned with related ads. For example, when you like a company we may include your name and photo when their sponsored content is shown. Ad Choices You have choices regarding our uses of certain categories of data to show you more relevant ads. Member settings can be found here . For Visitors, the setting is here . Info to Ad Providers We do not share your personal data with any non-Affiliated third-party advertisers or ad networks except for: (i) hashed IDs or device identifiers (to the extent they are personal data in some countries); (ii) with your separate permission (e.g., in a lead generation form) or (iii) data already visible to any users of the Services (e.g., profile). However, if you view or click on an ad on or off our Services, the ad provider will get a signal that someone visited the page that displayed the ad, and they may, through the use of mechanisms such as cookies, determine it is you. Advertising partners can associate personal data collected by the advertiser directly from you with hashed IDs or device identifiers received from us. We seek to contractually require such advertising partners to obtain your explicit, opt-in consent before doing so where legally required, and in such instances, we take steps to ensure that consent has been provided before processing data from them. 2.5 Marketing We promote our Services to you and others. In addition to advertising our Services, we use Members’ data and content for invitations and communications promoting membership and network growth, engagement and our Services, such as by showing your connections that you have used a feature on our Services. 2.6 Developing Services and Research We develop our Services and conduct research Service Development We use data, including public feedback, to conduct research and development for our Services in order to provide you and others with a better, more intuitive and personalized experience, drive membership growth and engagement on our Services, and help connect professionals to each other and to economic opportunity. Other Research We seek to create economic opportunity for Members of the global workforce and to help them be more productive and successful. We use the personal data available to us to research social, economic and workplace trends, such as jobs availability and skills needed for these jobs and policies that help bridge the gap in various industries and geographic areas. In some cases, we work with trusted third parties to perform this research, under controls that are designed to protect your privacy. We may also make public data available to researchers to enable assessment of the safety and legal compliance of our Services. We publish or allow others to publish economic insights, presented as aggregated data rather than personal data. Surveys Polls and surveys are conducted by us and others through our Services. You are not obligated to respond to polls or surveys, and you have choices about the information you provide. You may opt-out of survey invitations. 2.7 Customer Support We use data to help you and fix problems. We use data (which can include your communications) to investigate, respond to and resolve complaints and for Service issues (e.g., bugs). 2.8 Insights That Do Not Identify You We use data to generate insights that do not identify you. We use your data to perform analytics to produce and share insights that do not identify you. For example, we may use your data to generate statistics about our Members, their profession or industry, to calculate ad impressions served or clicked on (e.g., for basic business reporting to support billing and budget management or, subject to your settings , for reports to advertisers who may use them to inform their advertising campaigns), to show Members' information about engagement with a post or LinkedIn Page , to publish visitor demographics for a Service or create demographic workforce insights, or to understand usage of our services. 2.9 Security and Investigations We use data for security, fraud prevention and investigations. We and our Affiliates, including Microsoft, may use your data (including your communications) for security purposes or to prevent or investigate possible fraud or other violations of the law, our User Agreement and/or attempts to harm our Members, Visitors, company, Affiliates, or others. Key Terms Social Action E.g. like, comment, follow, share Partners Partners include ad networks, exchanges and others 3. How We Share Information 3.1 Our Services Any data that you include on your profile and any content you post or social action (e.g., likes, follows, comments, shares) you take on our Services will be seen by others, consistent with your settings. Profile Your profile is fully visible to all Members and customers of our Services. Subject to your settings , it can also be visible to others on or off of our Services (e.g., Visitors to our Services or users of third-party search tools). As detailed in our Help Center , your settings, degree of connection with the viewing Member, the subscriptions they may have, their usage of our Services , access channels and search types (e.g., by name or by keyword) impact the availability of your profile and whether they can view certain fields in your profile. Posts, Likes, Follows, Comments, Messages Our Services allow viewing and sharing information including through posts, likes, follows and comments. When you share an article or a post (e.g., an update, image, video or article) publicly it can be viewed by everyone and re-shared anywhere (subject to your settings ). Members, Visitors and others will be able to find and see your publicly-shared content, including your name (and photo if you have provided one). In a group , posts are visible to others according to group type. For example, posts in private groups are visible to others in the group and posts in public groups are visible publicly. Your membership in groups is public and part of your profile, but you can change visibility in your settings . Any information you share through companies’ or other organizations’ pages on our Services will be viewable by those organizations and others who view those pages' content. When you follow a person or organization, you are visible to others and that “page owner” as a follower. We let senders know when you act on their message, subject to your settings where applicable. Subject to your settings , we let a Member know when you view their profile. We also give you choices about letting organizations know when you've viewed their Page. When you like or re-share or comment on another’s content (including ads), others will be able to view these “social actions” and associate it with you (e.g., your name, profile and photo if you provided it). Your employer can see how you use Services they provided for your work (e.g. as a recruiter or sales agent) and related information. We will not show them your job searches or personal messages. Enterprise Accounts Your employer may offer you access to our enterprise Services such as Recruiter, Sales Navigator, LinkedIn Learning or our advertising Campaign Manager. Your employer can review and manage your use of such enterprise Services. Depending on the enterprise Service, before you use such Service, we will ask for permission to share with your employer relevant data from your profile or use of our non-enterprise Services. For example, users of Sales Navigator will be asked to share their “social selling index”, a score calculated in part based on their personal account activity. We understand that certain activities such as job hunting and personal messages are sensitive, and so we do not share those with your employer unless you choose to share it with them through our Services (for example, by applying for a new position in the same company or mentioning your job hunting in a message to a co-worker through our Services). 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For example, a financial advisor needs to archive communications with her clients through our Services in order to maintain her professional financial advisor license. 3.3 Others’ Services You may link your account with others’ services so that they can look up your contacts’ profiles, post your shares on such platforms, or enable you to start conversations with your connections on such platforms. Excerpts from your profile will also appear on the services of others. Subject to your settings , other services may look up your profile. When you opt to link your account with other services, personal data (e.g., your name, title, and company) will become available to them. The sharing and use of that personal data will be described in, or linked to, a consent screen when you opt to link the accounts. 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The information retained on these services may not reflect updates you make on LinkedIn. 3.4 Related Services We share your data across our different Services and LinkedIn affiliated entities. We will share your personal data with our Affiliates to provide and develop our Services. For example, we may refer a query to Bing in some instances, such as where you'd benefit from a more up to date response in a chat experience. Subject to our European Regional Privacy Notice , we may also share with our Affiliates, including Microsoft, your (1) publicly-shared content (such as your public LinkedIn posts) to provide or develop their services and (2) personal data to improve, provide or develop their advertising services. Where allowed , we may combine information internally across the different Services covered by this Privacy Policy to help our Services be more relevant and useful to you and others. 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It is possible that we will need to disclose information about you when required by law, subpoena, or other legal process or if we have a good faith belief that disclosure is reasonably necessary to (1) investigate, prevent or take action regarding suspected or actual illegal activities or to assist government enforcement agencies; (2) enforce our agreements with you; (3) investigate and defend ourselves against any third-party claims or allegations; (4) protect the security or integrity of our Services or the products or services of our Affiliates (such as by sharing with companies facing similar threats); or (5) exercise or protect the rights and safety of LinkedIn, our Members, personnel or others. We attempt to notify Members about legal demands for their personal data when appropriate in our judgment, unless prohibited by law or court order or when the request is an emergency. We may dispute such demands when we believe, in our discretion, that the requests are overbroad, vague or lack proper authority, but we do not promise to challenge every demand. To learn more see our Data Request Guidelines and Transparency Report . 3.7 Change in Control or Sale We may share your data when our business is sold to others, but it must continue to be used in accordance with this Privacy Policy. We can also share your personal data as part of a sale, merger or change in control, or in preparation for any of these events. Any other entity which buys us or part of our business will have the right to continue to use your data, but only in the manner set out in this Privacy Policy unless you agree otherwise. 4. Your Choices & Obligations 4.1 Data Retention We keep most of your personal data for as long as your account is open. We generally retain your personal data as long as you keep your account open or as needed to provide you Services. This includes data you or others provided to us and data generated or inferred from your use of our Services. Even if you only use our Services when looking for a new job every few years, we will retain your information and keep your profile open, unless you close your account. In some cases we choose to retain certain information (e.g., insights about Services use) in a depersonalized or aggregated form. 4.2 Rights to Access and Control Your Personal Data You can access or delete your personal data. You have many choices about how your data is collected, used and shared. We provide many choices about the collection, use and sharing of your data, from deleting or correcting data you include in your profile and controlling the visibility of your posts to advertising opt-outs and communication controls. We offer you settings to control and manage the personal data we have about you. 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You may also contact us using the contact information below, and we will consider your request in accordance with applicable laws. Residents in the Designated Countries and the UK , and other regions , may have additional rights under their laws. 4.3 Account Closure We keep some of your data even after you close your account. If you choose to close your LinkedIn account, your personal data will generally stop being visible to others on our Services within 24 hours. We generally delete closed account information within 30 days of account closure, except as noted below. We retain your personal data even after you have closed your account if reasonably necessary to comply with our legal obligations (including law enforcement requests), meet regulatory requirements, resolve disputes, maintain security, prevent fraud and abuse (e.g., if we have restricted your account for breach of our Professional Community Policies ), enforce our User Agreement, or fulfill your request to "unsubscribe" from further messages from us. We will retain de-personalized information after your account has been closed. Information you have shared with others (e.g., through InMail, updates or group posts) will remain visible after you close your account or delete the information from your own profile or mailbox, and we do not control data that other Members have copied out of our Services. Groups content and ratings or review content associated with closed accounts will show an unknown user as the source. Your profile may continue to be displayed in the services of others (e.g., search tools) until they refresh their cache. 5. Other Important Information 5.1. Security We monitor for and try to prevent security breaches. Please use the security features available through our Services. We implement security safeguards designed to protect your data, such as HTTPS. We regularly monitor our systems for possible vulnerabilities and attacks. However, we cannot warrant the security of any information that you send us. There is no guarantee that data may not be accessed, disclosed, altered, or destroyed by breach of any of our physical, technical, or managerial safeguards. 5.2. Cross-Border Data Transfers We store and use your data outside your country. We process data both inside and outside of the United States and rely on legally-provided mechanisms to lawfully transfer data across borders. Learn more . Countries where we process data may have laws which are different from, and potentially not as protective as, the laws of your own country. 5.3 Lawful Bases for Processing We have lawful bases to collect, use and share data about you. You have choices about our use of your data. At any time, you can withdraw consent you have provided by going to settings. We will only collect and process personal data about you where we have lawful bases. Lawful bases include consent (where you have given consent), contract (where processing is necessary for the performance of a contract with you (e.g., to deliver the LinkedIn Services you have requested) and “legitimate interests.” Learn more . Where we rely on your consent to process personal data, you have the right to withdraw or decline your consent at any time and where we rely on legitimate interests, you have the right to object. Learn More . If you have any questions about the lawful bases upon which we collect and use your personal data, please contact our Data Protection Officer here . If you're located in one of the Designated Countries or the UK, you can learn more about our lawful bases for processing in our European Regional Privacy Notice . 5.4. Direct Marketing and Do Not Track Signals Our statements regarding direct marketing and “do not track” signals. We currently do not share personal data with third parties for their direct marketing purposes without your permission. Learn more about this and about our response to “do not track” signals. 5.5. Contact Information You can contact us or use other options to resolve any complaints. If you have questions or complaints regarding this Policy, please first contact LinkedIn online. You can also reach us by physical mail . If contacting us does not resolve your complaint, you have more options . Residents in the Designated Countries and other regions may also have the right to contact our Data Protection Officer here . If this does not resolve your complaint, Residents in the Designated Countries and other regions may have more options under their laws. Key Terms Consent Where we process data based on consent, we will ask for your explicit consent. You may withdraw your consent at any time, but that will not affect the lawfulness of the processing of your personal data prior to such withdrawal. Where we rely on contract, we will ask that you agree to the processing of personal data that is necessary for entering into or performance of your contract with us. We will rely on legitimate interests as a basis for data processing where the processing of your data is not overridden by your interests or fundamental rights and freedoms. 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https://stackoverflow.blog/ai-coding/ | ai coding - Stack Overflow Blog Loading… Everything Productivity AI/ML Open Source Business Hub Company Releases Podcast Newsletter Stack Overflow Business Stack Internal : the knowledge intelligence layer that powers enterprise AI. Stack Data Licensing : decades of verified, technical knowledge to boost AI performance and trust. Stack Ads : engage developers where it matters — in their daily workflow. ai coding Related Tags vibe coding AI agentic AI generative AI software development dev tools Subscribe to the podcast Get The Stack Overflow Podcast at your favorite listening service. Apple Podcasts Overcast Overcast Pocket Casts Spotify RSS feed January 13, 2026 Vibe code anything in a Hanselminute Ryan welcomes back the mighty Scott Hanselman, VP of Developer Community at Microsoft, for a crossover episode about all things vibe coding. Phoebe Sajor 0 comment s The Stack Overflow Podcast vibe coding AI ai coding agentic AI January 2, 2026 A new worst coder has entered the chat: vibe coding without code knowledge In the age of AI, being able to make applications and create code has never been easier. But is it any good? Here's what vibe coding is like for someone without technical skills. Phoebe Sajor 27 comment s vibe coding ai coding generative AI worst coder in the world January 2, 2026 The most dangerous shortcuts in software Ryan sits down with Tom Totenberg, head of release automation at LaunchDarkly, to discuss the perils of taking too many shortcuts in software development, how business pressures and AI code tools have contributed to dangerous corner cutting, and the importance of balancing speed with sustainability to maintain system integrity. Phoebe Sajor 0 comment s The Stack Overflow Podcast software development ai coding AI dev tools tooling December 26, 2025 AI vs Gen Z: How AI has changed the career pathway for junior developers For promising Gen Z students, a career as a software developer seemed like the golden ticket to career stability and success. But in the age of AI, the career promise for Gen Z software developers is gone. Phoebe Sajor 9 comment s AI generative AI Gen Z ai coding software development career development December 9, 2025 AI is a crystal ball into your codebase Ryan is joined by Kayvon Beykpour, CEO and founder of Macroscope, to dive into AI-powered code review’s potential for managing large codebases, the need for humans-in-the-loop for PR reviews so AI tools can efficiently and effectively debug, and how AI can increase visibility through summarization at the abstract syntax tree level and high signal-to-noise ratio code reviews. Phoebe Sajor 1 comment The Stack Overflow Podcast AI ai coding code review security debugging November 21, 2025 Only you can stop AI database drops Ryan is joined by David Hsu, CEO and founder of Retool, to explore how AI is transforming the role of a software developer into a software architect, the increasing accessibility of coding for non-engineers, and the importance of placing guardrails and higher-level programming primitives on AI coding assistants. Phoebe Sajor 1 comment The Stack Overflow Podcast data primitives AI vibe coding ai coding ai assistant AI agents security software architecture November 11, 2025 AI code means more critical thinking, not less Ryan is joined by Secure Code Warrior’s co-founder and CTO Matias Madou to discuss the implications of LLMs’ variability on code security, the future of developer training as AI coding assistants become more popular, and the importance of critical thinking—especially for junior developers—in the age of AI. Phoebe Sajor 2 comment s The Stack Overflow Podcast ai coding junior training technical training November 4, 2025 To write secure code, be less gullible than your AI Ryan is joined by Greg Foster, CTO of Graphite, to explore how much we should trust AI-generated code to be secure, the importance of tooling in ensuring code security whether it’s AI-assisted or not, and the need for context and readability for humans in AI code. Phoebe Sajor 0 comment s The Stack Overflow Podcast AI ai coding security code review dev tools tooling developer tools October 31, 2025 Vibe coding needs a spec, too Ryan talks with Deepak Singh, VP of Developer Agents and Experiences at AWS and lead at Kiro, about spec-driven development in a vibe coding world. They explore how AI tools have evolved from autocomplete to sophisticated agents that can write code based off of just specs, and how AWS has pioneered spec-driven development through their Kiro agent. Phoebe Sajor 0 comment s The Stack Overflow Podcast vibe coding software architecture technical specs AI ai coding ai assistant artificial intelligence AI agents October 7, 2025 Context is king for secure, AI-generated code Ryan sits down with Dimitri Stiliadis, CTO and co-founder of Endor Labs, to talk about how AppSec is evolving to address AI’s use cases. They discuss the implications of AI-generated code on security practices, the importance of human oversight in managing vulnerabilities, and how organizations should be balancing security and efficiency with AI. Phoebe Sajor 0 comment s The Stack Overflow Podcast ai coding generative AI appsec security October 6, 2025 Beyond code generation: How AI is changing tech teams' dynamics While AI coding assistants are helping developers become more productive, the true value of AI lies in its ability to automate the non-coding tasks that have historically been bottlenecks, allowing leaders to create more agile teams and focus on higher-level strategic problems. Phoebe Sajor 1 comment Business Hub AI documentation generative AI ai coding autonomous agents workflow automation August 1, 2025 Diving into the results of the 2025 Developer Survey Ryan and Eira welcome Erin Yepis, Senior Analyst at Stack Overflow, to the show to discuss the newly released 2025 Developer Survey results. They explore the decline in trust in AI tools, shifts in popular programming technologies, and the patterns Erin saw in salary growth among developers. Phoebe Sajor 0 comment s The Stack Overflow Podcast developer survey AI programming language databases ai assistant ai coding dev life developer experience July 31, 2025 Do AI coding tools help with imposter syndrome or make it worse? Spoiler: Yes. Eira May 8 comment s ai coding AI developer tools developer experience copilot ai assistant impostor syndrome June 17, 2025 After 30 years, Java is still brewing up new features It’s Java’s 30th anniversary! Ryan welcomes back Georges Saab, Senior VP of Development for the Java Platform Group and Chair of the OpenJDK Governing Board, to reflect on Java’s changes over the last five years. Phoebe Sajor 0 comment s java dev tools developer tools ai coding developer experience The Stack Overflow Podcast June 10, 2025 Better vibes and vibe coding with Gemini 2.5 Ryan and Ben welcome Tulsee Doshi and Logan Kilpatrick from Google's DeepMind to discuss the advanced capabilities of the new Gemini 2.5. Phoebe Sajor 11 comment s ai coding google gemini dev tools developer tools AI The Stack Overflow Podcast data quality developer experience June 3, 2025 In a deterministic simulation, you can debug with time travel Will Wilson, CEO and co-founder of Antithesis, joins Ryan and Stack Overflow senior director of engineering Ben Matthews on the podcast to discuss deterministic simulation testing, the pitfalls of chaos testing in an AI-driven world, and how testing can help developers deal with technical debt. Phoebe Sajor 1 comment The Stack Overflow Podcast developer tools developer experience dev tools ai coding technical debt May 27, 2025 “The future is agents”: Building a platform for RAG agents Douwe Kiela, CEO and cofounder of Contextual AI, joins Ryan and Ben to explore the intricacies of retrieval-augmented generation (RAG). They discuss the early research Douwe did at Meta that jump started the whole thing, the challenges of hallucinations, and the significance of context windows in AI applications. Eira May 1 comment The Stack Overflow Podcast AI developer tools dev tools ai coding agentic AI autonomous agents retrieval augmented generation May 16, 2025 Salesforce wants to do for agentic AI what they did for SaaS Christophe Coenraets, SVP of Developer Relations at Salesforce, tells Eira and Ben about building the new Salesforce Developer Edition, which includes access to the company’s agentic AI platform, Agentforce. Christophe explains how they solicited and incorporated feedback from the developer community in building the developer edition, what types of AI agents people are building, and the critical importance of guardrails and prompt engineering. Eira May 1 comment The Stack Overflow Podcast AI developer tools dev tools ai coding agentic AI autonomous agents salesforce devrel developer relations May 13, 2025 Is the enterprise (actually) ready for AI? Maryam Ashoori, Head of Product for watsonx.ai at IBM, joins Ryan and Eira to talk about the complexity of enterprise AI, the role of governance, the AI skill gap among developers, how AI coding tools impact developer productivity, what chain-of-thought reasoning entails, and what observability and monitoring look like for AI. Eira May 1 comment The Stack Overflow Podcast AI AI governance governance observability monitoring Productivity developer tools dev tools ai coding April 4, 2025 Using GenAI as a learning tool, not a crutch AI is changing how we think about coding. While tools evolve, critical thinking, problem-solving, and creativity remain the essential skills for top developers. Katja Skafar , Susi O'Neill 4 comment s Leaders of code Business Hub ai coding software development generative AI March 28, 2025 “Are AI agents ready for the enterprise?” Deepak Singh, VP of Developer Agents and Experiences at AWS, helps Ryan break down the hype around agentic AI in software development. They cover the definition and real-world functionality of AI agents, how developers can integrate them into existing workflows, and the importance of establishing guardrails to ensure trust and security in agentic AI. Eira May 1 comment The Stack Overflow Podcast generative AI AI software development agentic AI autonomous agents aws ai coding developer experience developer tools dev tools March 17, 2025 To get ahead with AI, fine-tune your data strategy In the first episode of our new podcast series, Leaders of Code, we sat down with Don Woodlock, Head of Global Healthcare Solutions at InterSystems, and Stack Overflow CEO Prashanth Chandrasekar to discuss data strategy's critical role in AI development. Katja Skafar , Susi O'Neill 0 comment s software development generative AI software engineering ai coding Leaders of code Business Hub March 14, 2025 What we learned at TDX 2025 Some high-level takeaways, with more to come. Eira May 0 comment s developer experience dev tools developer tools salesforce generative AI ai coding AI command line vs code events autonomous agents agentic AI TDX March 13, 2025 Junky data is like an out-of-tune guitar—it prevents AI harmony In our very first episode, Stack Overflow CEO Prashanth Chandrasekar talks to Don Woodlock, Head of Global Healthcare Solutions at InterSystems, about the challenges in their AI journey and the critical role of a robust data strategy in any successful AI initiative. Katja Skafar 0 comment s software development generative AI software engineering ai coding Leaders of code Business Hub The Stack Overflow Podcast Show more Our Stack Stack Internal Features Customers Security Pricing Stack Data Licensing Stack Ads Partnerships Services Stack Overflow Company Leadership Press Careers Social Impact Support Contact Stack Overflow help Stack Internal help Terms Privacy policy Cookie policy Your Privacy Choices Elsewhere Blog Dev Newsletter Podcast Releases Dev Survey Site design / logo © 2026 Stack Exchange Inc. Light Dark Auto | 2026-01-13T08:48:28 |
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https://stackoverflow.blog/agentic-ai/ | agentic AI - Stack Overflow Blog Loading… Everything Productivity AI/ML Open Source Business Hub Company Releases Podcast Newsletter Stack Overflow Business Stack Internal : the knowledge intelligence layer that powers enterprise AI. Stack Data Licensing : decades of verified, technical knowledge to boost AI performance and trust. Stack Ads : engage developers where it matters — in their daily workflow. agentic AI Related Tags AI ai assistant AI agents autonomous agents API Business Hub Subscribe to the podcast Get The Stack Overflow Podcast at your favorite listening service. Apple Podcasts Overcast Overcast Pocket Casts Spotify RSS feed January 13, 2026 Vibe code anything in a Hanselminute Ryan welcomes back the mighty Scott Hanselman, VP of Developer Community at Microsoft, for a crossover episode about all things vibe coding. Phoebe Sajor 0 comment s The Stack Overflow Podcast vibe coding AI ai coding agentic AI January 9, 2026 Every ecommerce hero needs a Sidekick Ryan is joined by Vanessa Lee, VP of Product at Shopify, to discuss how AI is a tech renaissance and how these new technologies are affecting the ecommerce world. They cover the development of Sidekick, their new tool, along with the general challenges of building AI tools, the importance of maintaining human oversight in AI, and what the future holds for personalized user experiences in ecommerce. Phoebe Sajor 0 comment s The Stack Overflow Podcast ecommerce shopify ai assistant AI agents agentic AI December 19, 2025 Last week in AWS re:Invent with Corey Quinn Ryan sits down with Corey Quinn, Chief Cloud Economist at Duckbill, at AWS re:Invent to get Corey’s patented snarky take on all the happenings from the conference. Phoebe Sajor 0 comment s The Stack Overflow Podcast aws cloud computing infrastructure management software development llm AI agentic AI December 16, 2025 Live from re:Invent…it’s Stack Overflow! Ryan is joined by Stack Overflow’s CEO Prashanth Chandrasekar and Director of Data Science Michael Foree on the floor at re:Invent to discuss all they’ve seen and heard at the event, from the future of AI agents to the trust issues the enterprise has around AI and the impact of AI and robotics on the job market. Phoebe Sajor 0 comment s The Stack Overflow Podcast agentic AI aws robotics December 12, 2025 How Stack Overflow’s MCP Server is helping HP modernize the software development lifecycle HP's Distinguished Technologist Evan Scheessele shares how better knowledge access is allowing HP to experiment and modernize their software development lifecycle with the help of the Stack Internal MCP Server. Phoebe Sajor 0 comment s MCP sdlc Stack Internal agentic AI knowledge base December 8, 2025 The shift in enterprise AI—what we learned on the floor at Microsoft Ignite There's a distinct shift in how enterprises are talking about their AI solutions. Speed and flashiness are giving way to steadier, slower, more focused AI strategies for companies, where market fit and proof points are more important than ever. Phoebe Sajor 1 comment AI software engineering automation agentic AI microsoft November 18, 2025 How to create agents that people actually want to use Ryan welcomes Assaf Elovic, head of AI at monday.com, to discuss creating AI tools that users will actually adopt, how they created their Monday Sidekick agent with the user experience in mind, and the opportunities that AI creates for better productivity and more efficiency. Phoebe Sajor 0 comment s The Stack Overflow Podcast agentic AI user experience user research AI agents autonomous agents November 14, 2025 The fastest agent in the race has the best evals Ryan welcomes Benjamin Klieger, lead engineer at Groq, to explore the infrastructure behind AI agents, how you can turn a one-minute agent into a ten-second agent, and how they used fast inference and effective evals to build their efficient and reliable Compound agent. Phoebe Sajor 0 comment s The Stack Overflow Podcast AI agents agentic AI infrastructure management chip autonomous agents October 28, 2025 Craft and quality through speed and scale (and agents) Ryan welcomes Tom Moor, head of engineering at Linear, to discuss AI agents’ mixed results for productivity in the development lifecycle, the importance of context for maximizing agents’ effectiveness, and the role that junior developers need to take in a world increasingly driven by AI. Phoebe Sajor 0 comment s The Stack Overflow Podcast agentic AI AI agents autonomous agents software development AI dev tools October 24, 2025 Your runbooks are obsolete in the age of agents Ryan is joined by Spiros Xanthos, CEO and founder of Resolve AI, to talk about the future of AI agents in incident management and troubleshooting, the challenges of maintaining complex software systems with traditional runbooks, and the changing role of developers in an AI-driven world. Phoebe Sajor 1 comment The Stack Overflow Podcast incident management agentic AI AI agents autonomous agents sre October 21, 2025 Open source is giving you choices with your agent systems Ryan welcomes John Dickerson, CEO of Mozilla.ai, to talk about the evolving landscape of AI agents, the role of open source in keeping the tech ecosystem healthy, the challenges OS communities have faced with the rise of AI, and the implications of data privacy and user choice in the age of multi-agent AI systems. Phoebe Sajor 0 comment s AI agents agentic AI autonomous agents The Stack Overflow Podcast Open Source data October 14, 2025 AI agents for your digital chores Ryan welcomes Dhruv Batra, co-founder and chief scientist at Yutori, to explore the future of AI agents, how AI usage is changing the way people interact with advertisements and the web as a whole, and the challenges that proactive AI agents may face when being integrated into workflows and personal internet use. Phoebe Sajor 0 comment s The Stack Overflow Podcast ai assistant agentic AI AI agents ai-as-a-service October 3, 2025 One is not the loneliest number for API calls Gil Feig, co-founder and CTO of Merge, joins the show to explore Merge’s approach for reducing third-party APIs to a single call, the complexities of and need for data normalization, and the role that AI and MCP plays in the future of API functionality. Phoebe Sajor 0 comment s The Stack Overflow Podcast API AI ai assistant agentic AI AI agents September 30, 2025 As your AI gets smarter, so must your API Ryan sits down with Marco Palladino, CTO of Kong, to talk about the rise of AI agents and their impact on API consumption, the MCP protocol as a new standard for agents, the importance of observability and security in AI systems, and the importance for businesses and entrepreneurs to leverage opportunities in the agentic AI space now. Phoebe Sajor 0 comment s The Stack Overflow Podcast API AI agentic AI AI agents autonomous agents artificial intelligence September 23, 2025 Democratizing your data access with AI agents Jeff Hollan, director of product at Snowflake, joins Ryan to discuss the role that data plays in making AI and AI agents better. Along the way, they discuss how a database leads to an AI platform, Snowflake’s new data marketplace, and the role data will play in AI agents. Phoebe Sajor 0 comment s The Stack Overflow Podcast AI AI agents agentic AI data data quality September 16, 2025 What an MCP implementation looks like at a CRM company Ryan chats with Karen Ng, EVP of Product at HubSpot, to chat about Model Context Protocol (MCP) and how they implemented it for their server for their CRM product. Ryan Donovan 2 comment s The Stack Overflow Podcast MCP AI agentic AI August 5, 2025 Being unambiguous in what you want: the software engineer in a vibe coding world Quinn Slack, CEO and co-founder of Sourcegraph, joins the show to dive into the implications of AI coding tools on the software engineering lifecycle. They explore how AI tools are transforming the work of developers from syntax-focused tasks to higher-level design and management roles and how AI will integrate into enterprise environments. Phoebe Sajor 0 comment s vibe coding The Stack Overflow Podcast AI ai assistant agentic AI AI agents July 29, 2025 That custom gift for your mom takes more work than you think Ryan welcomes Mahir Yavuz, Senior Director of Engineering at Etsy, to the show to explore the unique challenges that Etsy’s marketplace faces and how Etsy’s teams leverage machine learning and AI to manage product SKUs, enrich inventory metadata, and improve both buyer and seller experiences. Phoebe Sajor 0 comment s ecommerce generative AI AI agentic AI AI agents The Stack Overflow Podcast July 22, 2025 “AI has been the wild west”: Creating standards for agents with Sean Falconer Ryan is joined on the podcast by Confluent’s AI Entrepreneur in Residence, Sean Falconer, to discuss the growing need for standards for AI agents, the emerging Model Context Protocol and agent-to-agent communication, and what we can learn from early web standards while AI continues to evolve. Phoebe Sajor 0 comment s AI AI agents agentic AI AI governance governance autonomous agents The Stack Overflow Podcast July 8, 2025 Attention isn’t all we need; we need ownership too Ryan welcomes Illia Polosukhin, co-author of the original "Attention Is All You Need" Transformers paper and co-founder of NEAR, on the show to talk about the development and impact of the Transformers model, his perspective on modern AI and machine learning as an early innovator of the tech, and the importance of decentralized, user-owned AI utilizing the blockchain. Phoebe Sajor 1 comment blockchain AI machine learning llm AI governance agentic AI AI agents The Stack Overflow Podcast July 4, 2025 Why call one API when you can use GraphQL to call them all? Ryan welcomes Matt DeBergalis, CTO at Apollo GraphQL, to discuss the evolution and future of API orchestration, the benefits of GraphQL in managing API complexity, its seamless integration with AI and modern development stacks, and how it enhances developer experience through better tooling and infrastructure. Phoebe Sajor 0 comment s apollo graphql graphql API AI ai assistant AI agents agentic AI The Stack Overflow Podcast June 25, 2025 Not an option, but a necessity: How organizations are adopting and implementing AI internally AI is no longer just a luxury for the most tech savvy companies — it's now a necessity for organizational transformation. How are real teams successfully leveraging and innovating with these new tools? Phoebe Sajor 1 comment Business Hub AI automation workflow automation agentic AI Productivity June 2, 2025 Integrating AI agents: Navigating challenges, ensuring security, and driving adoption Positioned at the intersection of automation, decision intelligence, and data orchestration, AI agents are quickly emerging as essential tools for aligning business outcomes with technical workflows. Eira May 0 comment s Leaders of code Business Hub AI autonomous agents agentic AI AI agents integrations May 29, 2025 Understanding the limitations of AI is crucial for enterprise success What challenges do organizations face when adopting AI, and why is understanding its limitations key to success? Katja Skafar 0 comment s Leaders of code Business Hub The Stack Overflow Podcast generative AI AI agents agentic AI Show more Our Stack Stack Internal Features Customers Security Pricing Stack Data Licensing Stack Ads Partnerships Services Stack Overflow Company Leadership Press Careers Social Impact Support Contact Stack Overflow help Stack Internal help Terms Privacy policy Cookie policy Your Privacy Choices Elsewhere Blog Dev Newsletter Podcast Releases Dev Survey Site design / logo © 2026 Stack Exchange Inc. Light Dark Auto | 2026-01-13T08:48:28 |
https://www.linkedin.com/posts/merve-noyan-28b1a113a_qwen3-vl-has-all-you-need-for-e2e-multimodal-activity-7415362781316808704-eQDH | Qwen3-VL has all you need for e2e multimodal RAG 🔥 I have put together a notebook for this, you can run on a free Colab (T4)! the models are 2B, we remove them once we're done embedding and… | Merve Noyan Agree & Join LinkedIn By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Skip to main content LinkedIn Top Content People Learning Jobs Games Sign in Join now for free Merve Noyan’s Post Merve Noyan 3d Edited Report this post Qwen3-VL has all you need for e2e multimodal RAG 🔥 I have put together a notebook for this, you can run on a free Colab (T4)! the models are 2B, we remove them once we're done embedding and reranking, saving memory 🙌🏻 if you have long documents though, make sure to use FA2 and quantize using bitsandbytes try it here https://lnkd.in/d8SiCByh 588 5 Comments Like Comment Share Copy LinkedIn Facebook X Philip Garry 3d Report this comment Imagine a middleware that could help it do this 😉👌 No more previous content No more next content Like Reply 10 Reactions 11 Reactions Paolo Perrone 3d Report this comment 2B on T4 is accessible. What's the quality like compared to larger multimodal models for RAG? Like Reply 3 Reactions 4 Reactions Tobias Warken 1d Report this comment Sounds really interesting, we will try it out. Thanks for sharing! Like Reply 1 Reaction Adil A. 3d Report this comment Thanks Merve Noyan Like Reply 1 Reaction 2 Reactions See more comments To view or add a comment, sign in More Relevant Posts llm-d 2,383 followers 3w Report this post We are thrilled to highlight an excellent technical demonstration and contribution from llm-d community member Phillip Hayes (Red Hat). In this video, Phillip provides a data-driven look at the impact of intelligent routing within llm-d. In scenarios involving multi-turn chats and large documents, naive load balancing often results in redundant compute as requests hit pods without the necessary context cached. The demo illustrates how llm-d addresses this by intelligently routing prompts to the correct replicas. The results are significant. In the benchmark shown, llm-d achieved nearly a 90% KV cache hit rate, vastly improving upon standard deployments. Furthermore, the data shows a much smoother time to first token graph and a significant drop in P95 tail latency of around 500 milliseconds. True to the spirit of open source, this is not just a demo, it is also a contribution. The comprehensive Grafana dashboard Phillip used to visualize these critical metrics is being contributed upstream to the main llm-d project for the entire community to leverage. Thank you, Phillip, for this valuable addition to the ecosystem! Watch the full technical walk-through below. 👇 https://lnkd.in/eUQn8wQD #llmd #OpenSource #Kubernetes #GenerativeAI #MLOps …more Unlock 90% KV Cache Hit Rates with llm-d Intelligent Routing https://www.youtube.com/ 39 Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in Tushar Katarki 3w Edited Report this post One way to understand intelligent routing in llm-d is through a classic computer-science analogy. In operating systems, performance depends on keeping a process’s working set in fast memory. When schedulers ignore locality, caches thrash, pages get evicted, and latency spikes. "cache hit" and "cache miss" are well understood. Similar problem happens in LLM inference. LLM inference involves KV computation that lives in GPU memory. This GPU "KV cache" is a scarce, high-value resource. If prompts are routed randomly, KV caches are repeatedly evicted and recomputed—driving up latency and wasting GPU cycles. A KV-cache-aware scheduler instead routes prompts to the vLLM instance where relevant KV state already lives, maximizing cache hits and minimizing expensive recomputation. Think of llm-d as applying decades of OS principles—locality, working sets, and intelligent scheduling—to distributed LLM inference. In this video Philip Hayes does an great job illustrating this visually. Multi-turn chats are the simplest way to think of context that grows with each turn, and all that context is in kv-cache on some GPU already and so it is a matter of knowing and routing the latest turn to that. It is a fun watch and I highly recommend it. llm-d 2,383 followers 3w We are thrilled to highlight an excellent technical demonstration and contribution from llm-d community member Phillip Hayes (Red Hat). In this video, Phillip provides a data-driven look at the impact of intelligent routing within llm-d. In scenarios involving multi-turn chats and large documents, naive load balancing often results in redundant compute as requests hit pods without the necessary context cached. The demo illustrates how llm-d addresses this by intelligently routing prompts to the correct replicas. The results are significant. In the benchmark shown, llm-d achieved nearly a 90% KV cache hit rate, vastly improving upon standard deployments. Furthermore, the data shows a much smoother time to first token graph and a significant drop in P95 tail latency of around 500 milliseconds. True to the spirit of open source, this is not just a demo, it is also a contribution. The comprehensive Grafana dashboard Phillip used to visualize these critical metrics is being contributed upstream to the main llm-d project for the entire community to leverage. Thank you, Phillip, for this valuable addition to the ecosystem! Watch the full technical walk-through below. 👇 https://lnkd.in/eUQn8wQD #llmd #OpenSource #Kubernetes #GenerativeAI #MLOps Unlock 90% KV Cache Hit Rates with llm-d Intelligent Routing https://www.youtube.com/ 38 1 Comment Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in Tushar V. 2w Report this post Just published a deep dive on building fast LLM inference systems(For production use cases) From batching and continuous batching to KV cache aware scheduling, radix attention, paged attention : this piece breaks down what actually makes LLM inference fast in production. Next up: speculative decoding in this series. LLM Inference : Inside a Fast LLM Inference Server medium.com 56 4 Comments Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in Ovadya Menadeva 2w Report this post I thought attention was solved. I was wrong. This diagram is why. For years, we treated attention as a pure routing mechanism: queries pull values, softmax ranks them, and scaling does the rest. But look closely at the flow. Softmax attention must always output something. It cannot say “none of this context is useful.” So when nothing fits: • attention collapses to early tokens • activations spike • the residual stream amplifies noise • training stays “stable” for the wrong reason NeurIPS 2025 Best Paper tested every reasonable place to intervene (G2 on values, G3 on keys, G4 on queries, G5 after projection). Only one worked consistently. G1 : a query conditioned gate applied after SDPA.(Scaled Dot Product Attention) Why this placement matters: SDPA already mixed context , now you can judge it The gate is computed from the query (what the token is asking) Most of the time, the gate shuts , sparsity Attention sinks disappear because the model can finally say “ignore all of this” This isn’t regularization. It’s control. A single sigmoid at G1: • caps massive activations • stabilizes deep training • allows higher learning rates • makes long-context RoPE / YaRN extensions behave The takeaway isn’t “add gates everywhere.” It’s put control where meaning emerges , after attention, not before it. Attention isn’t solved. Information flow is. #NeurIPS2025 #LLMs #AIResearch #Transformers #DeepLearning #ModelArchitecture #MachineLearning 4 1 Comment Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in Alan Lockett 4d Report this post Does anyone else think need a better notation for linear tensor operations? Reading papers without the code it's sometimes hard to see what the operation actually was. Does this bother anyone else? I suggest we should do something based on einsum notation, e.g. $\left[\underset{a}{ijk}\underset{b}{kn}\right]_{in}$ (you could make a macro to simplify the typing) for $\sum_{j,k} a_{ijk} b_{kn}$. 1 1 Comment Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in Mayank Lau 3d Report this post I built a small DRIFT-inspired agent prototype that enforces safe tool usage at runtime by separating planning, validation, and memory handling. The prototype creates a minimal tool-execution plan with parameter constraints, validates every tool call using Read/Write/Execute privileges and intent alignment, and sanitizes tool outputs to block indirect prompt-injection before they enter memory. This directly aligns with the paper’s core idea of Dynamic Runtime Integrity-containing tool misuse and injection attacks not just at prompt time, but continuously during execution and memory updates-demonstrating how DRIFT can be practically implemented in a lightweight, end-to-end system. https://lnkd.in/gvKJHa-P Hao Li Xiaogeng Liu Dianqi Li Ning Zhang Chaowei Xiao The Johns Hopkins University Washington University in St. Louis …more 9 2 Comments Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in OpenRouter 8,438 followers 4d Report this post ⚡ New feature: Partition Sorting. Create a performance floor to prioritize fast LLMs, with zero latency hit! You can set both preferred_min_throughput, preferred_max_latency, as well as a cost cap. Learn more in our docs: https://lnkd.in/evaNkcym 25 Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in Jesus Carrasco 6d Report this post Public Marker — Phase Acknowledgement A quiet note on our current phase. We recently completed a governed internal validation cycle focused on algorithmic correctness under non-discrete representations. The work was not about performance, hardware, or benchmarks. It addressed a narrower question: whether classical algorithms retain correctness when executed in a wave-native domain under strict observation discipline. That phase is now closed. We are not publishing details at this time. The record exists, is reproducible, and is archived. We’ll speak more when the questions being asked require it. — Lightborne Intelligence Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in Fulbabu Islam 1w Report this post Problem Solved... Given an integer array nums, find a subarray that has the largest product, and return the product. The test cases are generated so that the answer will fit in a 32-bit integer. Note that the product of an array with a single element is the value of that element. Example 1: Input: nums = [2,3,-2,4] Output: 6 Explanation: [2,3] has the largest product 6. Example 2: Input: nums = [-2,0,-1] Output: 0 Explanation: The result cannot be 2, because [-2,-1] is not a subarray. 7 Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in 54,271 followers 1,346 Posts View Profile Follow Explore content categories Career Productivity Finance Soft Skills & Emotional Intelligence Project Management Education Technology Leadership Ecommerce User Experience Show more Show less LinkedIn © 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines العربية (Arabic) বাংলা (Bangla) Čeština (Czech) Dansk (Danish) Deutsch (German) Ελληνικά (Greek) English (English) Español (Spanish) فارسی (Persian) Suomi (Finnish) Français (French) हिंदी (Hindi) Magyar (Hungarian) Bahasa Indonesia (Indonesian) Italiano (Italian) עברית (Hebrew) 日本語 (Japanese) 한국어 (Korean) मराठी (Marathi) Bahasa Malaysia (Malay) Nederlands (Dutch) Norsk (Norwegian) ਪੰਜਾਬੀ (Punjabi) Polski (Polish) Português (Portuguese) Română (Romanian) Русский (Russian) Svenska (Swedish) తెలుగు (Telugu) ภาษาไทย (Thai) Tagalog (Tagalog) Türkçe (Turkish) Українська (Ukrainian) Tiếng Việt (Vietnamese) 简体中文 (Chinese (Simplified)) 正體中文 (Chinese (Traditional)) Language Sign in to view more content Create your free account or sign in to continue your search Sign in Welcome back Email or phone Password Show Forgot password? 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https://open.spotify.com/show/11hUjoJv4FxFnw9r0mHIsC | Uncanny Valley | WIRED | Podcast on Spotify Uncanny Valley | WIRED WIRED Follow Welcome to Uncanny Valley—an insider look at the people, power, and influence of Silicon Valley—where each week, WIRED’s writers and editors bring you original reporting and analysis about some of the biggest stories in tech. On Tuesdays, WIRED’s Global Editorial Director Katie Drummond sits down with influential figures in culture, politics, business, science, and beyond for a discussion captured through the WIRED lens.On Thursdays, Lauren Goode and Michael Calore to break down a recent story or phenomena bubbling up in Silicon Valley and explain its influence on our daily lives. And on Fridays, Zoë Schiffer brings you everything you need to know this week in tech news. 4.4 (189) Technology All Episodes BIG INTV: Margaret Atwood on Doomscrolling: ‘I Want to Keep Up With the Latest Doom’ On this week’s episode of The Big Interview, the author of The Handmaid’s Tale, Margaret Atwood talks about Elon Musk, political resistance, and why she still has hope for America’s future.Join WIRED’s best and brightest on Uncanny Valley as they dissect the collision of tech, politics, finance, and business, from Alexis Ohanian's newest tech venture to the effects of inaccurate information from artificial intelligence (AI) chatbots on social protests. Learn about your ad choices: dovetail.prx.org/ad-choices Jan 6 54 min BIG INTV: CTO Elizabeth Stone On The Future of Netflix: “Personalized, Interactive, Immersive” Netflix CTO Elizabeth Stone is an anomaly. Instead of coding, she spent her twenties getting a PhD in economics. She quietly rose through the ranks in Silicon Valley and is now responsible for leading Netflix’s technology push towards live programming. In this candid conversation, Stone discusses the value of failure, the power behind genuine curiosity, and why she can’t pick her favorite Love is Blind couple.-Join WIRED’s best and brightest on Uncanny Valley as they dissect the collision of tech, politics, finance, and business, from Alexis Ohanian's newest tech venture to the effects of inaccurate information from artificial intelligence (AI) chatbots on social protests. Learn about your ad choices: dovetail.prx.org/ad-choices Dec 23, 2025 43 min WIRED Roundup: The Five Tech and Politics Trends That Shaped 2025 For better or for worse, this year had it all — from the AI industry shaping the global economy and our lives, to the so-called Department of Government Efficiency (DOGE) taking over U.S federal agencies under Elon Musk’s leadership. In today’s episode, Zoë and WIRED’s executive editor Brian Barrett get together to reflect on some of this year’s key moments — and how they give us important clues as to what we can expect this upcoming year. Articles mentioned in this episode: The AI Data Center Boom Is Warping the US Economy | WIRED The US Needs an Open Source AI Intervention to Beat China | WIRED DOGE Is the Deep State | WIRED ICE Wants to Build Out a 24/7 Social Media Surveillance Team | WIRED The FBI's Jeffrey Epstein Prison Video Had Nearly 3 Minutes Cut Out | WIRED Join WIRED’s best and brightest on Uncanny Valley as they dissect the collision of tech, politics, finance, and business, from Alexis Ohanian's newest tech venture to the effects of inaccurate information from artificial intelligence (AI) chatbots on social protests. Learn about your ad choices: dovetail.prx.org/ad-choices Dec 19, 2025 31 min Introducing A New Chapter for Uncanny Valley As the year draws to an end, Mike and Lauren have some news to share with listeners. But first, they head over to the pool to unwind and reflect on what they’ll be watching for in the tech space this upcoming year, and what they think should stay behind. Articles mentioned in this episode: OpenAI's Big Bet That Jony Ive Can Make AI Hardware Work | WIRED Tech CEOs Praise Donald Trump at White House Dinner | WIRED IPOs | Latest News, Photos & Videos | WIRED Join WIRED’s best and brightest on Uncanny Valley as they dissect the collision of tech, politics, finance, and business, from Alexis Ohanian's newest tech venture to the effects of inaccurate information from artificial intelligence (AI) chatbots on social protests. Learn about your ad choices: dovetail.prx.org/ad-choices Dec 18, 2025 26 min BIG INTV: AWS CEO Matt Garman Doesn’t Think AI Should Replace Junior Devs The head of Amazon Web Services has big plans to offer AI tools to businesses, but says that replacing coders with AI is “a non-starter for anyone who's trying to build a long-term company.” Katie sits down to discuss German's vision, and why Amazon could be a dark horse in the AI race. Join WIRED’s best and brightest on Uncanny Valley as they dissect the collision of tech, politics, finance, and business, from Alexis Ohanian's newest tech venture to the effects of inaccurate information from artificial intelligence (AI) chatbots on social protests. Learn about your ad choices: dovetail.prx.org/ad-choices Dec 16, 2025 45 min WIRED Roundup: Making Art In the AI Era, With Wicked’s Jon. M Chu You don’t have to be a fan of musicals to know about the Wicked film franchise — it’s been everywhere since the first film launched last year, and that’s exactly how director Jon. M Chu wanted it. At WIRED’s Big Interview event last week, senior culture editor Manisha Krishnan sat down with Chu to discuss what it takes to make a blockbuster during a moment of deep changes in the film industry. In today’s episode, we are taking a break from the week’s headlines and bringing you their conversation. Learn about your ad choices: dovetail.prx.org/ad-choices Dec 12, 2025 26 min AMD CEO Lisa Su Isn’t Afraid of the Competition Last week, some of the most forward-thinking minds in tech, culture, and politics came together for WIRED’s Big Interview event — a series of live, in-depth conversations with industry leaders. To kick off the event, Lauren sat down with AMD’s CEO Lisa Su. In today’s episode, Mike and Lauren sit down to discuss the key ideas that came up during the interview, as well as the other conversations that caught everyone’s attention during the event. Articles mentioned in this episode: AMD CEO Lisa Su Says Concerns About an AI Bubble Are Overblown | WIRED Can AI Look at Your Retina and Diagnose Alzheimer’s? Eric Topol Hopes So | WIRED San Francisco Mayor Daniel Lurie: ‘We Are a City on the Rise’ | WIRED Watch the Highlights From WIRED’s 2025 Big Interview Event Right Here | WIRED Join WIRED’s best and brightest on Uncanny Valley as they dissect the collision of tech, politics, finance, and business, from Alexis Ohanian's newest tech venture to the effects of inaccurate information from artificial intelligence (AI) chatbots on social protests. Learn about your ad choices: dovetail.prx.org/ad-choices Dec 11, 2025 47 min BIG INTV: San Francisco Mayor Daniel Lurie: ‘We Are a City on the Rise’ Since taking office, San Francisco’s mayor has been on a quest to revitalize the city and increase public safety. He’s also kept the National Guard out—with a little help from some very powerful friends. Katie sat down with Mayor Lurie (who took off his shoes) on stage at WIRED’s Big Interview Event in San Francisco. Join WIRED’s best and brightest on Uncanny Valley as they dissect the collision of tech, politics, finance, and business, from Alexis Ohanian's newest tech venture to the effects of inaccurate information from artificial intelligence (AI) chatbots on social protests. Learn about your ad choices: dovetail.prx.org/ad-choices Dec 9, 2025 31 min WIRED Roundup: DOGE Isn’t Dead, Facebook Dating Is Real, Amazon AI Releases In today’s episode, Zoë is joined by WIRED’s Leah Feiger to discuss five stories you need to know about this week — from how Amazon is trying to catch up in the AI race, to why Facebook Dating is more popular than ever. Then, they dive into how despite recent reports claiming that DOGE is over, its operatives are still working across federal agencies. Articles mentioned in this episode: Amazon Has New Frontier AI Models—and a Way for Customers to Build Their Own | WIRED Poems Can Trick AI Into Helping You Make a Nuclear Weapon | WIRED Who the Hell Is Actually Using Facebook Dating? | WIRED Sex Workers Built an ‘Anti-OnlyFans’ to Take Control of Their Profits | WIRED DOGE Isn’t Dead. Here’s What Its Operatives Are Doing Now | WIRED Join WIRED’s best and brightest on Uncanny Valley as they dissect the collision of tech, politics, finance, and business, from Alexis Ohanian's newest tech venture to the effects of inaccurate information from artificial intelligence (AI) chatbots on social protests. Learn about your ad choices: dovetail.prx.org/ad-choices Dec 5, 2025 26 min What Happens When Your Coworkers Are AI Agents This year, AI agents have been at the forefront of tech companies' ambitions. OpenAI’s Sam Altman has often talked about a possible billion-dollar company being spun up with just one human and an army of AI agents. And so last summer, journalist Evan Ratliff decided to try to become that unicorn himself — by creating HarumoAI, a small startup that’s made up of AI employees and executives. Mike and Lauren sit down with Evan to discuss how it’s going, and the current promises and realities of AI agents. Articles mentioned in this episode: All of My Employees Are AI Agents, and So Are My Executives | WIRED AI Agents Are Terrible Freelance Workers | WIRED Who’s to Blame When AI Agents Screw Up? | WIRED Join WIRED’s best and brightest on Uncanny Valley as they dissect the collision of tech, politics, finance, and business, from Alexis Ohanian's newest tech venture to the effects of inaccurate information from artificial intelligence (AI) chatbots on social protests. Learn about your ad choices: dovetail.prx.org/ad-choices Dec 4, 2025 36 min BIG INTV: Melinda French Gates on Secrets: ‘Live a Truthful Life, Then You Don’t Have Any’ On this week’s episode of The Big Interview podcast, the philanthropist sits down with Katie to offer her insights on billionaire donors, kids on phones, and the importance of women’s healthcare.Join WIRED’s best and brightest on Uncanny Valley as they dissect the collision of tech, politics, finance, and business, from Alexis Ohanian's newest tech venture to the effects of inaccurate information from artificial intelligence (AI) chatbots on social protests. Learn about your ad choices: dovetail.prx.org/ad-choices Dec 2, 2025 47 min WIRED Roundup: Epstein Files Fallout, NVIDIA Earnings, Gemini 3 Release In today’s episode, Zoë is joined by WIRED’s Max Zeff to discuss five stories you need to know about this week — from the political fallout after the release of the Epstein files, to why two young mormon men created an app to help men stop "gooning". Then, we dive into Gemini 3's release and how companies like Google and OpenAI are honing in on AI profitability. Join WIRED’s best and brightest on Uncanny Valley as they dissect the collision of tech, politics, finance, and business, from Alexis Ohanian's newest tech venture to the effects of inaccurate information from artificial intelligence (AI) chatbots on social protests. Learn about your ad choices: dovetail.prx.org/ad-choices Nov 21, 2025 24 min Load more episodes More podcasts like this Decoder with Nilay Patel The Verge IndieWire: Screen Talk Indiewire: Screen Talk Little Gold Men by Vanity Fair Vanity Fair Bloomberg Tech Bloomberg The Gray Area with Sean Illing Vox Denoised Addy Ghani and Joey Daoud Curiosity Weekly Discovery The Monocle Daily Monocle The Powers That Be: Daily Puck | Audacy Home Search Your Library Premium , | 2026-01-13T08:48:28 |
https://www.linkedin.com/top-content/finance/ | Top Finance Content from LinkedIn Members Skip to main content LinkedIn Top Content People Learning Jobs Games Join now Sign in Top Content Finance Explore top LinkedIn content from expert professionals. Aswath Damodaran Aswath Damodaran is an Influencer Professor at NYU Stern School of Business 311,304 followers 5mo Report this post In the last five years, MicroStrategy has effectively converted itself from a software company to Bitcoin SPAC, and its success at driving its market cap upwards has led some to argue that other companies would be well served following that model and redirecting their cash holdings into bitcoin. I disagree, and not because I have a point of view on bitcoin (I do.. but it is not relevant). It is not a good substitute for cash (which is held as a shock absorber), it steps on and obscures your business narrative, managers are terrible traders (of bitcoin or any other investment) and it opens the door to self-dealing and worse. Put simply, if you are a shareholder in a company with a large cash balance, and you think bitcoin is the place to be for the future, you are better served asking for the cash to be returned to you (in dividends and buybacks) and doing It yourself. There are four exceptions to this general rule - a company with a bitcoin savant in change (MicroStrategy), companies with bitcoin businesses (PayPal and Coinbase), companies in countries with failed currencies and companies with failed businesses that have become meme stocks (AMC, Gamestop). Even in these companies, you need governance, disclosure and accounting guardrails in place, to prevent abuse. …more To Bitcoin or not to Bitcoin: That is the corporate cash question! Aswath Damodaran on LinkedIn 3,109 110 Comments Like Comment Share Copy LinkedIn Facebook X Hugh MacArthur Chairman of Global Private Equity Practice at Bain & Company - Follow me for weekly updates on private markets 30,106 followers 9mo Edited Report this post Private Thoughts From My Desk ……………. #33 𝐓𝐚𝐫𝐢𝐟𝐟𝐬 & 𝐔𝐧𝐜𝐞𝐫𝐭𝐚𝐢𝐧𝐭𝐲: 𝐖𝐡𝐚𝐭 𝐈𝐭 𝐌𝐞𝐚𝐧𝐬 𝐟𝐨𝐫 𝐏𝐄 𝐑𝐢𝐠𝐡𝐭 𝐍𝐨𝐰 After five years of what I can only describe as "unique disruptions"—a global pandemic, unprecedented inflation, interest rate shocks—we now face yet another: a new wave of tariffs. For private equity, the impact of these policy moves isn’t just about the numbers—it’s about the uncertainty they inject into long-term models. Private equity lives and dies by its ability to predict the future—five years at a time, with leverage. So when policy shifts like these arrive without clear direction or a timeline, deal pipelines stall. It’s not that the tariffs themselves are necessarily fatal—it’s that no one knows what game we’re playing, or how the rules might change again next quarter. We entered 2025 with momentum. Intermediaries were busy, due diligence was in high gear, portfolio companies were readying for exit. But in February, the “T word” started surfacing. Tariffs are just another word for uncertainty—what I call the dreaded “U word” in private equity—and everything slowed. Activity now reflects what we’re hearing every day: it’s hard to make long-term bets when you don’t know what to model in the short term. For LPs, the liquidity crunch is especially acute. Liquidity is at levels we haven’t seen since the Great Recession. Many LPs are rebalancing through secondaries; some are exploring NAV loans and other creative strategies. The ones with dry powder—sovereign wealth funds, select family offices—see dislocation as opportunity. But for most, frustration is mounting. Fundraising is feeling the pinch, see the chart below for buyout fundraising trends. Exit activity is a leading indicator—and right now, that indicator is flashing yellow. Fundraising was always going to be challenged in 2025. Now, recovery may be deferred even further. So what can GPs do? It’s back to basics (again) with portfolio companies: secure the balance sheet, conserve cash, and avoid covenant or financing issues in the near term. There’s also renewed urgency to get EBITDA up—quickly—through pricing, cost reduction, and working capital optimization. Anything that opens the door to a liquidity event in the near term. This is also a time for firms to solidify their long-term strategy. Some are asking whether it’s time to double down on what they do best and exit non-core strategies. Consolidation is no longer theoretical—it’s a daily conversation, especially for firms caught in the increasingly challenging middle market. This isn’t a crisis. But it is a moment of reckoning. In a market defined by scarcer capital, talent, and investment opportunities—not everyone wins. Knowing what you do best, doubling down on it, and charting a clear path forward for your firm are more essential than ever. #privateequity #privatemarkets #privatethoughtsfrommydesk …more No more previous content No more next content 542 28 Comments Like Comment Share Copy LinkedIn Facebook X David Carlin David Carlin is an Influencer Turning climate complexity into competitive advantage for financial institutions | Future Perfect methodology | Ex-UNEP FI Head of Risk | Open to keynote speaking 178,892 followers 10mo Report this post 📢 𝗨𝗽𝗱𝗮𝘁𝗲𝗱 𝗘𝗨 𝗢𝗺𝗻𝗶𝗯𝘂𝘀 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 – 𝗠𝗮𝗷𝗼𝗿 𝗦𝘂𝘀𝘁𝗮𝗶𝗻𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗦𝗵𝗶𝗳𝘁𝘀 𝗖𝗼𝗻𝗳𝗶𝗿𝗺𝗲𝗱 The Omnibus proposal is officially out, with some major regulatory rollbacks for corporate sustainability in Europe. With changes spanning the CSRD, CSDDD, Taxonomy, and CBAM, the reporting landscape has just changed dramatically. 🔍 𝗪𝗲’𝘃𝗲 𝘂𝗽𝗱𝗮𝘁𝗲𝗱 𝗼𝘂𝗿 𝗰𝗼𝗺𝗽𝗮𝗿𝗶𝘀𝗼𝗻 𝘁𝗮𝗯𝗹𝗲 𝘁𝗼 𝗿𝗲𝗳𝗹𝗲𝗰𝘁 𝘁𝗵𝗲𝘀𝗲 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁𝘀—𝘄𝗵𝗶𝗰𝗵 𝘄𝗲 𝗵𝗼𝗽𝗲 𝗮𝗿𝗲 𝘂𝘀𝗲𝗳𝘂𝗹 𝗳𝗼𝗿 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀𝗲𝘀 𝗻𝗮𝘃𝗶𝗴𝗮𝘁𝗶𝗻𝗴 𝘄𝗵𝗮𝘁’𝘀 𝗻𝗲𝘅𝘁. 🚨 𝗪𝗵𝗮𝘁’𝘀 𝗖𝗵𝗮𝗻𝗴𝗶𝗻𝗴? 𝗔 𝘀𝘂𝗺𝗺𝗮𝗿𝘆: 1️⃣ CSRD – Reporting Scope Slashed 🔹 Two-year delay for many companies that haven’t yet reported. 🔹 80% of companies removed from mandatory reporting 🔹 Sector-specific standards scrapped 🔹 ESRS under review for streamlining 2️⃣ CSDDD – Weakened Due Diligence Rules 🔹 Focus only on direct suppliers – removal of full value chain due diligence 🔹 Assessment frequency cut – Required every 5 years instead of annually 🔹 Penalties softened – No references to fines related to global turnover 🔹 Civil liability removed 3️⃣ EU Taxonomy – Reporting Becomes Optional for Most 🔹 Only “very large” companies must report (>1,000 employees) 🔹 80% of companies exempted from Taxonomy alignment 🔹 Partial alignment reporting introduced 4️⃣ CBAM – Simplification and exemptions 🔹 Exemption threshold introduced for importers 🔹 Implementation delayed to 2027 instead of 2026 🔹 Product coverage remains the same for now but may expand in 2026 🔹 Emissions tracking requirements simplified 👉 What is your take—necessary streamlining or a retreat from sustainability leadership? Can a balance be struck between sustainability and competitiveness? I think it can. In fact, I don't think they even should be contradictory. The big question is whether this omnibus strikes that balance. I'm not so sure. #CSRD #CSDDD #EUTaxonomy #CBAM #Sustainability #ESG #SustainabilityReporting #EURegulations #ClimateFinance #CorporateResponsibility …more No more previous content No more next content 2,423 98 Comments Like Comment Share Copy LinkedIn Facebook X Dr. Barry Scannell Dr. Barry Scannell is an Influencer AI Law & Policy | Partner in Leading Irish Law Firm William Fry | Member of Irish Government’s Artificial Intelligence Advisory Council | PhD in AI & Copyright | LinkedIn Top Voice in AI | Global Top 200 AI Leaders 2025 57,254 followers 10mo Report this post The Irish Government has just announced plans to introduce the Regulation of Artificial Intelligence Bill in its Spring 2025 legislative programme, a pivotal piece of legislation aimed at giving full effect to the European Union’s Artificial Intelligence Act (EU Regulation 2024/1689). Even though the AI Act as a regulation has direct effect, this move is set to shape the national regulatory framework for AI governance in Ireland and establish national enforcement mechanisms in line with the EU’s approach. At the heart of the bill is the designation of Ireland’s National Competent Authorities: the entities that will be responsible for enforcing compliance with the AI Act. These authorities will oversee risk classification, conduct market surveillance, and impose penalties for violations. Given Ireland’s role as the EU base for major technology firms including Google, Anthropic, Meta, and TikTok, the effectiveness of its enforcement regime will be closely scrutinised across the EU and beyond. The Irish Government’s approach will be particularly significant due to the country’s track record in regulating the digital sector. Ireland’s Data Protection Commission (DPC) has wielded considerable influence over EU-wide enforcement of the GDPR, given the presence of multinational tech firms within the state. The DPC was designated as one of ireland’s nine fundamental rights authorities under the AI Act in November 2024. The bill will include provisions for penalties, though details remain unspecified. Under the EU AI Act, non-compliance can result in fines of up to €35 million or 7% of a company’s global annual turnover, whichever is higher. For Ireland, the challenge will be ensuring its enforcement framework has sufficient resources and expertise to oversee AI systems deployed within its jurisdiction. Tech industry leaders and legal experts will be closely monitoring how Ireland structures its national framework. The AI Act imposes strict obligations on high-risk AI applications, including those used in healthcare, banking, and recruitment. Companies will be required to maintain transparency, conduct impact assessments, and ensure that their AI systems do not lead to unlawful discrimination or harm. Ireland’s legislative initiative comes at a time of growing regulatory scrutiny over AI’s impact on society, innovation, and human rights. The AI Act represents the world’s most comprehensive attempt to regulate artificial intelligence, at a time other jurisdictions such as the USA are moving in the opposite regulatory direction. The Regulation of Artificial Intelligence Bill is still in its early stages, at the “Heads in Preparation” point. In the Irish legislative process, the Heads of a Bill serve as a blueprint for the eventual legislation. As Ireland moves toward full implementation of the AI Act, the government’s decisions on AI oversight will have significant implications for businesses, consumers, and the broader EU regulatory landscape. …more No more previous content No more next content 961 36 Comments Like Comment Share Copy LinkedIn Facebook X Alfonso Peccatiello Alfonso Peccatiello is an Influencer Founder & CIO of Palinuro Capital | Founder @ The Macro Compass - Institutional Macro Research 108,245 followers 2y Report this post BREAKING: the rating agency Fitch just downgraded the US! So, what now? The key point is that US Treasuries now have their second-best rating at AA+ instead of AAA given that only Moody’s preserved its top rating for the US. US Treasuries are the most widely used form of collateral in the world due to their high rating, liquidity, deep repo market and solid democratic foundations/rule of law: does the downgrade affect that? Let’s have a quick look at the rating requirements that different institutional players must adhere to when investing in safe government bonds to explore whether a downgrade to AA+ makes the difference. Commercial banks are huge buyers of Treasuries: they use them as regulatory liquid assets (HQLA), as collateral and also sometimes as an asset to hedge interest rate risk on their liabilities. The Basel regulatory framework introduced 10 years ago has 0% capital requirements for government bonds rated between AAA and AA- for its standardized approach: the downgrade to AA+ wouldn’t make any difference (chart attached). Most banks actually choose an internal-rating based (IRB) approach based on internal models and in that case most jurisdictions apply an exception for any investment-grade rated domestic government bond which automatically assigns them a 0% risk weight. Bottom line: for banks this downgrade makes no difference at all. Pension funds and insurance companies are also large buyers of Treasuries: they use them as a long duration asset to match their long liabilities (life insurances payouts, pension payouts etc) and as collateral. For a pension fund AAA-rated or AA+ rated US Treasuries would still fall in the hedging camp or in the defensive asset allocation camp and a one-notch downgrade wouldn’t make the difference. Big buyers of US Treasuries also include FX reserve managers: Chinese or Brazil corporates selling stuff for USD will deposit these US Dollars in the domestic banking system and so the Bank of Brazil and PBOC would be in charge of investing these USDs in safe, liquid assets – you guessed it: US Treasuries. For FX reserve managers rating considerations are important, but again most countries put AAA-AA rated governments in the same risk bucket. More importantly, as 70%+ of global transactions are still in USD there will always be structural demand to recycle these USDs in safe US Treasuries. What’s the alternative anyway? JGBs with no free float? Europe with a smaller AAA-AA bond market? BRICS with no liquid bond market and democracy/rule of law issues? As you can see, for most institutional players out there this downgrade has no material impact that would make them a force-seller of US Treasuries. Markets can still overreact, and it will be important to check price action and sentiment: if you are an institutional investor I have a dedicated BBG live chat service for you - ping me directly on Bloomberg if interested! …more No more previous content No more next content 616 34 Comments Like Comment Share Copy LinkedIn Facebook X Abby Hopper Abby Hopper is an Influencer President & CEO at Solar Energy Industries Association 70,045 followers 7mo Report this post The House Budget Bill explained… for utility-scale solar developers. This week, I’m sharing sector-specific explainers of the House-passed reconciliation bill to help each business and worker understand the impact. Yesterday, I covered the manufacturing provisions in the bill. Today, I’ll talk about utility-scale solar and tomorrow will be on the residential sector. For large-scale solar developers, the biggest and most important provision is the functional elimination of the 48E and 45Y tax credits. Instead of phasing out the credits, the text of the House bill requires that projects begin construction within 60 days after enactment of the bill AND be placed in service before January 1, 2029. This effectively eliminates the credits for all new grid-scale solar energy projects going forward. As well as hundreds of projects already under development. Remember, if construction doesn’t begin within 60 days of President Trump signing the legislation, then the investment tax credit won’t be available. Full stop. This has implications for other aspects of the tax credit regime. The other provisions that restrict these credits — like ending transferability and the Foreign Entities of Concern (FEOC) rules — wouldn’t end up applying to 48E or 45Y because the credits would be eliminated before those restrictions would go into effect at the end of the year. Communities across the nation would lose $286 billion in local investments and 330,000 American jobs would be gone. By 2030, America would produce 173 fewer TWh of energy annually (That’s about the size of Illinois’ energy consumption each year). That’s the OPPOSITE of American energy dominance. Let’s keep up the pressure: https://lnkd.in/evBBCp4h …more View C2PA information No more previous content View C2PA information No more next content 688 75 Comments Like Comment Share Copy LinkedIn Facebook X Lubomila Jordanova Lubomila Jordanova is an Influencer CEO & Founder Plan A │ Co-Founder Greentech Alliance │ MIT Under 35 Innovator │ Capital 40 under 40 │ BMW Responsible Leader │ LinkedIn Top Voice 165,014 followers 2y Report this post The European Commission has introduced a new carbon tax on imported goods called the Carbon Border Adjustment Mechanism (CBAM). This is meant to make sure that European companies and companies from other parts of the world are on the same page when it comes to carbon pricing and environmental commitments. Here are the main changes: 🔴 Emissions Reporting: Starting in October this year, companies have to start keeping track of how much carbon is linked to the goods they import. They need to start reporting this data by January 2024. This reporting will continue until the end of 2025. 🔴 Carbon Leakage Prevention: CBAM is a way to prevent companies from moving their production to places with weaker environmental rules to avoid carbon costs. It makes sure that European products and products made outside of Europe have similar carbon costs. 🔴 CBAM Certificates: Importers have to get CBAM certificates to match the carbon pricing between EU and non-EU products. They need to provide details about the product's carbon footprint, where it's from, how it's made, and its emissions data. This includes emissions during production and indirect emissions, like electricity use. 🔴 Covered Sectors: CBAM applies to industries with high carbon emissions like iron and steel, cement, fertilisers, aluminium, electricity, hydrogen, and some downstream products like screws and bolts. It also covers certain indirect emissions under certain conditions. Importers mainly need to report emissions during the transition phase until 2026. To help importers and producers outside of the EU adapt, the EU Commission is providing guidelines and tools to calculate emissions. They're also offering training materials and webinars. Some important data points to consider: 🟢 Carbon Leakage: A study by the European Environmental Bureau warns that unchecked carbon leakage could cause a 15% increase in global emissions, undermining climate efforts. CBAM aims to prevent this. 🟢 Emissions Differences: The World Trade Organization says that different countries have different emissions rules, leading to different carbon costs. CBAM aims to make this fairer. 🟢 Economic Impact: The European Commission estimates that the global carbon allowance market could be worth €4.5 billion per year by 2030. CBAM will significantly affect international trade and revenues. 🟢 Industry Shift: A study by the European Parliament Research Service shows that without CBAM, high-emission industries might move to places with weaker rules, leading to job losses and less competitiveness in the EU. 🟢 Green Transition: The International Monetary Fund says that well-designed carbon pricing like CBAM can encourage industries to become more environmentally friendly, contributing to a greener global economy. 🟢 Regulatory Challenges: CBAM's reporting requirements might be tough for importers initially. However, the long-term benefits of fair carbon pricing are expected to outweigh the challenges. …more No more previous content No more next content 3,265 143 Comments Like Comment Share Copy LinkedIn Facebook X Usman Sheikh I co-found companies with experts ready to own outcomes, not give advice. 55,843 followers 7mo Report this post Consulting sells AI, but bills like 1990. Reality caught up to the narrative. Booz Allen's latest results beat expectations: → Revenue: up 12.4% to $12 billion → Adjusted EPS: up 15.5% to $6.35 → GenAI revenue: nearly $800 million, up 30% → Record backlog: $37 billion, book-to-bill of 1.39 Yet the stock crashed 20% in the last 10 days, erasing $3.5 billion in market value. Why? Because beneath strong headline numbers, Goldman Sachs' May 28 downgrade exposed a critical vulnerability: Despite claiming to be an "advanced tech company" with $800M in AI revenue, Booz Allen still derives 98% of its business as a government contractor billing by the hour. The company recently announced 2,500 job cuts (7% of their workforce) due to the Trump administration’s crackdown on federal contracting. I dug into their yearly report to learn more. How Booz Allen Actually Makes Money: The Revenue Reality: → 98% from U.S. government ($10.5B of $10.7B total) → Defense (47%), Civil (34%), Intelligence (17%) → Only 2% commercial revenue 79% of revenue ($8.4B) comes from billing hours: → 55% cost-reimbursable contracts → 24% time-and-materials → Only 21% fixed-price CFO Matt Calderone confirmed their historical growth formula on their earning call: "headcount growth plus 3%". Despite AI claims and the CEO pushing outcome-based contracts for years, only 21% of revenue is fixed-price. Government procurement keeps them billing hours. The Labor Reality: → 36,000 employees driving revenue → 2,500 layoffs (7%) announced after DOGE reviews → Revenue explicitly tied to headcount → When contracts shrink, people get fired The math doesn't lie. You can't justify tech multiples when: → Your entire business depends on one entity → Growth requires hiring more people → Government owns rights to most developed IP → Margins collapse when contracts face pressure Every firm claiming AI transformation faces this reality: → They pitch cutting-edge technology → They showcase AI capabilities → They demand premium valuations → But their economics remain tied to billable hours When CEO Rozanski said they're "restructuring to match anticipated demand," he revealed the core problem: Revenue directly tracks headcount. Tech companies scale through IP. Traditional consulting scales through hiring - and shrinks through firing. The 20% crash wasn’t about a single quarter. It was Wall Street repricing Booz Allen’s reality - a government contractor at the mercy of federal budgets, not a tech innovator building scalable IP. First, the narrative cracks. Then, the analysts notice. Finally, the market reprices. Booz Allen completed the cycle in 10 days. For consulting firms still betting their "AI story" covers their hourly reality: You're not different. You're just next. …more No more previous content No more next content 574 108 Comments Like Comment Share Copy LinkedIn Facebook X Bruce Richards Bruce Richards is an Influencer CEO & Chairman at Marathon Asset Management 42,798 followers 4mo Report this post Tight as a Drum (+76 bps) Investment Grade Corporate Credit Spreads trade at the 0 percentile, a spread of +76 bps vs. UST, the tightest spread since 1997 (see table below). A-rated bonds trade at +62 bps, while BBBs are +96bps. Reasons why spreads are so tight: - Credit risk and balance sheets has improved for IG issuers - Credit conditions in the financial markets are at its easiest level since pre-COVID - The Fed will soon embark upon an easing cycle - Corporate earnings are strengthening - The risk of recession is low - Investor Demand is robust (higher UST yields allows the absolute yield level to remain ~50%, despite tight spreads) These strong fundamentals paint a supportive picture for IG credit; however, historically tight spreads suggest that much of the positive outlook is already reflected in current pricing. Investors should remain disciplined and selective, with no reason to sell IG at the current juncture as our favorable credit conditions should remain intact. Since diversification and intelligent asset allocation decisions remains paramount to long-term wealth creation, capital allocators can identify compelling non-IG and Private Credit that will continue to offer higher IRR/MOIC profiles as yield premiums for higher yielding assets should continue to meaningfully enhance portfolio income, just as it has over the years. …more No more previous content No more next content 394 28 Comments Like Comment Share Copy LinkedIn Facebook X Peeyush Chitlangia, CFA I help you simplify Finance | FinShiksha | IIM Calcutta | CFA | NIT Jaipur | Enabling careers in Finance | 170k+ 171,067 followers 1y Report this post RBI has announced a cut in CRR But what is CRR? A Simple explainer on reserve ratios When we deposit money in a bank, the bank is supposed to put aside some part of this as a couple of mandatory reserves CRR – Cash Reserve Ratio SLR – Statutory Liquidity Ratio CRR is to be maintained in the form of cash balances with RBI, and is calculated on a fortnightly basis. The bank does not get any interest on CRR. SLR is to be maintained in the form of liquid bonds (Government securities) and Gold. Something that can be easily liquidated for cash. India currently has a CRR of 4.5% (this will be cut to 4%), and SLR of 18%. So out of Rs 100 we deposit, Rs 22.5 will go towards these reserves. One may ask why? Let's understand. The bank works on other people’s money. If the depositors come back asking for their money, the bank needs to be able to give it to them. Even there the assumption is that only a certain percent of the depositor base will come asking for withdrawals. If more people come asking for money, there is trouble for the bank, since the money is not with them, they have loaned it out. And usually the loans may have longer tenures – like home loans. If such a situation arises, this may lead to a term called Bank Run. So back to Reserve Ratios. If the RBI decreases the Reserve Ratios, the Bank has to put aside less money. Now the banks have more to lend, this increasing money supply. RBI estimates that the CRR cut will add about Rs 1.1 lakh crore to the banking system. Of course part of this will counter the money coming out of the banking system due to advance tax collections in December. But hope this explains the need of CRR, the impact of the CRR cut, and reasons behind that. 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https://www.linkedin.com/company/coursera?trk=public_profile_profile-section-card_subtitle-click | Coursera | LinkedIn Skip to main content LinkedIn Top Content People Learning Jobs Games Sign in Register now Coursera E-Learning Providers Mountain View, CA 2,603,633 followers See jobs Follow View all 6,126 employees Report this company Overview Jobs Life About us Coursera was launched in 2012 by Andrew Ng and Daphne Koller with a mission to provide universal access to world-class learning. Today, it is one of the largest online learning platforms in the world, with 191 million registered learners as of September 30, 2025. Coursera partners with over 375 leading university and industry partners to offer a broad catalog of content and credentials, including courses, Specializations, Professional Certificates, and degrees. Coursera’s platform innovations — including generative AI-powered features like Coach, Role Play, and Course Builder, and role-based solutions like Skills Tracks — enable instructors, partners, and companies to deliver scalable, personalized, and verified learning. Institutions worldwide rely on Coursera to upskill and reskill their employees, students, and citizens in high-demand fields such as GenAI, data science, technology, and business, while learners globally turn to Coursera to master the skills they need to advance their careers. Coursera is a Delaware public benefit corporation and a B Corp. Website https://bit.ly/45dFEuV External link for Coursera Industry E-Learning Providers Company size 1,001-5,000 employees Headquarters Mountain View, CA Type Public Company Specialties Education, Technology, and Internet Products No more previous content Coursera, Online Course Platforms Coursera Online Course Platforms Coursera for Business, Online Course Platforms Coursera for Business Online Course Platforms Coursera for Campus, Online Course Platforms Coursera for Campus Online Course Platforms Degrees on Coursera, Online Course Platforms Degrees on Coursera Online Course Platforms No more next content Locations Primary 381 East Evelyn Ave Mountain View, CA 94041, US Get directions 119 W 24th St New York, New York 10011, US Get directions SCO 57 Sector 29 Gurgaon, Haryana 122001, IN Get directions 256-260 Old Street 5th floor London, London EC1V 9DD, GB Get directions Employees at Coursera Alyssa Pratt Luis R Baptista Kheil McIntyre Charles Clark See all employees Updates Coursera 2,603,633 followers 14h Report this post How are you building new skills this year? In today’s #CareerChat , we’re taking a look at micro-credentials, their benefits, and why you might consider pursuing one to prepare for the next phase of your career. Learn how you can use micro-credentials to potentially boost your job outcomes, build skills, and navigate career change. #microcredentials #CareerChat #LearnWithoutLimits Micro-credentials: what they are + career benefits Coursera on LinkedIn 179 7 Comments Like Comment Share Coursera 2,603,633 followers 17h Report this post Which word best captures your 2026 so far? This content isn’t available here Access this content and more in the LinkedIn app Download the app 50 14 Comments Like Comment Share Coursera 2,603,633 followers 2d Report this post Welcome to the Skills-First Era of learning. Instead of an over-abundance of course content, learners are seeking interactive experiences, tailored pathways, and verifiable skills. And they expect employers to provide that experience. Is your learning ecosystem ready? Download our new guide to understand the four pillars of a high-impact learning ecosystem and build your learning capability engine. Step into the new era of learning. ✨ https://bit.ly/4qEa8OD 67 22 Comments Like Comment Share Coursera 2,603,633 followers 3d Edited Report this post 👋 Meet Sharon (Sean) Rolel , a Staff Software Engineer at Coursera! Sean has worked at Coursera for over seven years, starting as an intern and, over time, advancing into his current role on the Site Reliability Engineering team. Here are his top skills: 1️⃣ Looking at the big picture: “Communicating with other engineers and teams to build solutions that have the most outsized impact.” 2️⃣ Debugging and general problem solving: “I often have to debug code and infrastructure that I'm not totally familiar with. Being able to immerse myself in the unknown while still having the confidence to get to the bottom of a problem is invaluable.” 3️⃣ Balancing delivery and maintainability: “Being able to ship quickly while taking on calculated tech debt and making a real, documented plan to pay it back later.” 🌟 Sean’s career advice: “Always aim to expand your visibility and sphere of influence. That can be leading impactful projects, coming up with innovative ideas, or just being helpful to other people outside your immediate team.” 102 7 Comments Like Comment Share Coursera 2,603,633 followers 4d Report this post If you want to build new skills this year but don’t know where to start, here’s an easy approach: test skills before you commit. With Coursera’s course-preview experience, you can explore the first module free for many courses—including AI, business, analytics, marketing, UX, cybersecurity, and more. You’ll get access to videos, readings, practice exercises, and Coursera Coach. If something sparks your interest, Coursera Plus is a great way to keep going. And with 50% off for a limited time, it’s a cost-effective time to start learning consistently. Explore free previews + see Coursera Plus options: https://bit.ly/3NeDlRO 61 7 Comments Like Comment Share Coursera 2,603,633 followers 5d Report this post Big January goals feel exciting, until week two hits. That’s when energy settles and motivation softens, however this is the chance to start small and keep going. The most effective learners, leaders, and teams rely on micro-actions, the smallest version of a skill you can do consistently. Here’s why tiny steps carry you further than big ones: 1️⃣ They make starting easier. Your brain is more willing to start when the task feels “too small to fail.” 2️⃣ They stack into identity. A 10-minute action every day builds more progress than a 2-hour sprint once a month. 3️⃣ They generate momentum. Once you start, you naturally do more. 4️⃣ Consistency > intensity. Skills compound when you show up regularly. Instead of: “I’m going to master Excel this month.” Try: “I’ll do one lesson today.” Instead of: “I’ll build a new career plan this week.” Try: “I’ll clarify one skill gap today.” Your January doesn’t need a reinvention. It just needs a starting point. 👉 If you want to learn consistently this year, begin with any course: one video, one quiz, one practice. Our 50% discount on Coursera Plus makes the first step easier. https://bit.ly/4qytc0G 38 5 Comments Like Comment Share Coursera 2,603,633 followers 6d Report this post Skills for stronger connections—at work, relationships, and everyday life. 💬✨ This month’s self-investment starter pack is all about communicating more clearly, listening more deeply, and feeling more confident in how you show up. https://bit.ly/3YXY8eZ 65 2 Comments Like Comment Share Coursera 2,603,633 followers 1w Report this post New year, new skills! What skills are you going to build this year? In today’s #CareerChat , we’re ringing in the new year by highlighting five of the fastest-growing AI skills you should consider developing in 2026. Whether you’re a technical professional or not, there are countless ways to use AI in your workflow. Learn more inside. #HappyNewYear #jobskills #AI #2026 #CareerChat #LearnWithoutLimits 5 fastest-growing AI skills to build in 2026 Coursera on LinkedIn 376 42 Comments Like Comment Share Coursera 2,603,633 followers 1w Report this post What’s harder to close on a Monday? This content isn’t available here Access this content and more in the LinkedIn app Download the app 52 8 Comments Like Comment Share Coursera 2,603,633 followers 1w Report this post 📊 From solving customer problems to finding customer patterns: Meet Eman As her career grew, Eman B. realized she needed stronger project management and data skills. With Coursera Plus, she discovered what she calls a “launchpad for integration, creativity, and impact.” Programs like the Google Project Management and Meta Data Analyst with AI helped her apply new skills immediately. “I learned industry-recognized frameworks and tools, which allowed me to start thinking and acting like a project manager or data analyst right away.” Her perspective shifted too. “I now approach every task... with the structured thinking of a project manager and the analytical curiosity of a data analyst.” Eman is using her new skills to make data-informed decisions and contribute more strategically at work. “ I can now speak fluently about risk management, key performance indicators (KPIs), and structured project lifecycles. This has positioned me as a strategic contributor rather than just an expert in a functional area.” She is now working toward a future role where she can use data to drive organizational impact. Read more of her story: https://bit.ly/4p6aSuG 67 20 Comments Like Comment Share Join now to see what you are missing Find people you know at Coursera Browse recommended jobs for you View all updates, news, and articles Join now Similar pages Udemy E-Learning Providers San Francisco, CA Google Software Development Mountain View, CA Duolingo Software Development Pittsburgh, PA NPTEL E-Learning Providers Chennai, Tamilnadu IBM IT Services and IT Consulting Armonk, New York, NY DeepLearning.AI Software Development Mountain View, California LinkedIn Software Development Sunnyvale, CA Microsoft Software Development Redmond, Washington Amplify Education Administration Programs Brooklyn, NY upGrad E-Learning Providers Mumbai, Maharashtra Show more similar pages Show fewer similar pages Browse jobs Coursera jobs 450 open jobs Analyst jobs 694,057 open jobs Manager jobs 1,880,925 open jobs Developer jobs 258,935 open jobs Engineer jobs 555,845 open jobs Account Manager jobs 121,519 open jobs Project Manager jobs 253,048 open jobs Scientist jobs 48,969 open jobs Marketing Manager jobs 106,879 open jobs Director jobs 1,220,357 open jobs Associate jobs 1,091,945 open jobs Intern jobs 71,196 open jobs Consultant jobs 760,907 open jobs Product Designer jobs 45,389 open jobs Specialist jobs 768,666 open jobs Executive jobs 690,514 open jobs Event Manager jobs 35,306 open jobs Account Executive jobs 71,457 open jobs User Experience Designer jobs 13,659 open jobs Customer Service Representative jobs 185,647 open jobs Show more jobs like this Show fewer jobs like this Funding Coursera 13 total rounds Last Round Series unknown Feb 1, 2021 External Crunchbase Link for last round of funding US$ 1.0M See more info on crunchbase More searches More searches Coursera jobs Analyst jobs Manager jobs Engineer jobs Developer jobs Project Manager jobs Scientist jobs Product Designer jobs Marketing Manager jobs Account Manager jobs Director jobs Specialist jobs Intern jobs User Experience Designer jobs Associate jobs Product Manager jobs Designer jobs Consultant jobs Executive jobs Software Engineer jobs Senior Product Designer jobs Data Analyst jobs Account Executive jobs Writer jobs Event Manager jobs Associate Product Manager jobs Assistant jobs Teacher jobs Recruiter jobs Program Manager jobs Instructional Designer jobs Data Scientist jobs Sales Manager jobs Marketing Director jobs Machine Learning Engineer jobs Senior Product Manager jobs Business Development Representative jobs Business Development Specialist jobs Salesforce Administrator jobs Coordinator jobs Implementation Manager jobs Senior Manager jobs Head jobs Customer Success Manager jobs Marketing Specialist jobs Researcher jobs Human Resources Specialist jobs Educational Consultant jobs Assistant Manager jobs Python Developer jobs Vice President jobs Senior Software Engineer jobs Lead jobs Data Science Specialist jobs Solutions Consultant jobs Partner jobs Project Management Specialist jobs Salesperson jobs Cyber Security Specialist jobs Learning Designer jobs LinkedIn © 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines العربية (Arabic) বাংলা (Bangla) Čeština (Czech) Dansk (Danish) Deutsch (German) Ελληνικά (Greek) English (English) Español (Spanish) فارسی (Persian) Suomi (Finnish) Français (French) हिंदी (Hindi) Magyar (Hungarian) Bahasa Indonesia (Indonesian) Italiano (Italian) עברית (Hebrew) 日本語 (Japanese) 한국어 (Korean) मराठी (Marathi) Bahasa Malaysia (Malay) Nederlands (Dutch) Norsk (Norwegian) ਪੰਜਾਬੀ (Punjabi) Polski (Polish) Português (Portuguese) Română (Romanian) Русский (Russian) Svenska (Swedish) తెలుగు (Telugu) ภาษาไทย (Thai) Tagalog (Tagalog) Türkçe (Turkish) Українська (Ukrainian) Tiếng Việt (Vietnamese) 简体中文 (Chinese (Simplified)) 正體中文 (Chinese (Traditional)) Language Agree & Join LinkedIn By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . 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https://www.linkedin.com/posts/devcyclehq_why-feature-flags-are-a-must-in-every-engineering-activity-7407869484432281601-eufh | Deploy with Confidence: Leveraging Feature Flags for Controlled Environments | DevCycle posted on the topic | LinkedIn Agree & Join LinkedIn By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Skip to main content LinkedIn Top Content People Learning Jobs Games Sign in Join for free Deploy with Confidence: Leveraging Feature Flags for Controlled Environments This title was summarized by AI from the post below. DevCycle 1,008 followers 3w Report this post 🧑💻 Engineering managers: 😬 If every deploy makes your team nervous, the problem isn’t confidence — it’s tooling. 🧗 Feature flags turn production into a controlled environment, not a cliff edge. https://lnkd.in/esqHPr-f #FeatureFlags #SoftwareEng #EngManager by Mark Allen Why Feature Flags Are a Must in Every Engineering Manager’s Toolkit blog.devcycle.com Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in More Relevant Posts Jon M. Quigley, MS PMP CTFL 3w Report this post In the world of product engineering, quality and speed often feel like competing priorities — but what if the key to balancing both lies in testability? In my latest article, I explore why testability isn’t just a technical metric, but a design mindset and cultural driver that fuels reliable products, trustworthy teams, and predictable outcomes. From leveraging meaningful metrics to building a culture of “trust but verify,” this piece dives into how modern organizations can elevate engineering excellence without sacrificing velocity. Check out the full post to see how metrics, verification practices, and organizational culture come together to make testability truly transformational. https://lnkd.in/e_sXv_dC #ProductEngineering #Testability #QualityAssurance #Metrics #Verification #EngineeringCulture #ContinuousImprovement #LeanAgile Testability in Modern Product Engineering: Metrics, Verification, and Organizational Culture - Value Transformation https://valuetransform.com 2 2 Comments Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in Value Transformation LLC 2,877 followers 3w Report this post In the world of product engineering, quality and speed often feel like competing priorities — but what if the key to balancing both lies in testability? In my latest article, I explore why testability isn’t just a technical metric, but a design mindset and cultural driver that fuels reliable products, trustworthy teams, and predictable outcomes. From leveraging meaningful metrics to building a culture of “trust but verify,” this piece dives into how modern organizations can elevate engineering excellence without sacrificing velocity. Check out the full post to see how metrics, verification practices, and organizational culture come together to make testability truly transformational. https://lnkd.in/e-7pUkVb #ProductEngineering #Testability #QualityAssurance #Metrics #Verification #EngineeringCulture #ContinuousImprovement #LeanAgile Testability in Modern Product Engineering: Metrics, Verification, and Organizational Culture - Value Transformation https://valuetransform.com Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in Salwan Mohamed 1w Report this post 🧠 Platform Engineering Is a Craft — Not a Toolchain We define effective platform engineering as a craft. Not a collection of tools. Not a rebranded DevOps team. Not a shared Kubernetes cluster. A craft — deliberately practiced. 🧱 What that craft is made of Platform engineering sits at the intersection of: • Architecture — designing coherent, enforceable systems • Engineering — building reliable, evolvable infrastructure • Product delivery — treating the platform as a product, not a project It is practiced by dedicated platform teams with: • broad domain knowledge • long-term ownership • accountability for outcomes, not tasks 🛠️ What the platform delivers A true engineering platform provides internal development teams with: • Self-service access to tools and technologies • Seamless paths to build, release, and operate software • Guardrails that encode security, governance, and compliance • Defaults that make the right thing the easy thing All while: • Minimizing non-development work • Eliminating cross-team engineering delays • Reducing cognitive load instead of adding process 📉 What success actually looks like Platform engineering does not succeed because it “exists”. It succeeds when: • Teams move faster without breaking things • Security and compliance become invisible but enforced • Cognitive load goes down as capability goes up And most importantly: Success is measured against clear business goals — tracked continuously with observable metrics. 💡 Platform engineering is not about control. It’s about creating leverage for the entire organization. That’s why it’s a craft. And why it takes time to get right. #PlatformEngineering #InternalDeveloperPlatform #IDP #DevOps #EnterpriseArchitecture #ProductMindset #SystemsThinking #EngineeringLeadership View C2PA information Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in Niloo far 2w Report this post As 2025 comes to a close, I’ve reflected on what has had the greatest impact in my role as Engineering Manager. My main takeaway is that remaining intentionally hands-on while maintaining clear boundaries was essential to success. ✌🏼 A clear pattern emerged: being intentionally hands-on, within set boundaries, consistently improved outcomes. This approach reduced ambiguity, enhanced capacity planning, strengthened incident management, and minimized unnecessary meetings, rather than simply increasing code contributions. In a year where AI lowered the cost of execution, the value of technical judgment, domain understanding, and transparent decision-making only increased. Staying close to technical details enabled better decision-making, faster team support, and more effective collaboration with product and stakeholders. 🏗 I have summarized these reflections and ten key advantages in a brief Medium article: https://lnkd.in/eYBAsbyE . I welcome your thoughts on what resonates with you or your own approach to staying hands-on as a manager. Engineering Management Beyond Meetings niloofar-gheibi.medium.com 115 3 Comments Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in Simon Yost 3w Edited Report this post I’ve observed engineering teams triple in size while delivery predictability has declined. The pattern is familiar: smart hires, long hours, velocity looks fine. And yet—features slip, roadmaps miss, and no one can explain why without hand-waving. It’s not a talent problem. It’s a systems problem. Execution models that work for 8 engineers break at 25. At a small scale, everything runs on implicit context. People overhear decisions. Dependencies surface naturally. Ownership is evident because everyone can see the entire board. That model has a ceiling. Once the team outgrows shared context, things quietly fail. Dependencies turn into surprises. Decisions stall because ownership is fuzzy. Work stretches from days into weeks because no one knows who’s blocked on what. Leadership sees busy teams and assumes the issue is prioritization. So they add a PM. Then a program manager. Then, a new planning tool. None of that fixes the real problem: the execution system never scaled. What actually breaks is specific: • Decision authority becomes unclear, so small calls escalate. • Communication paths explode, turning signal into noise. • Ownership stays frozen in an old structure, even as the system spans multiple teams. The team works hard—but on the wrong layer. They optimize code when the problem is decision latency. They add process when the problem is ownership. They reorganize teams when no one owns outcomes end-to-end. The fix isn’t more process. It’s an explicit operating system. At scale, three things must be unmistakable: who decides, how information flows, and how ownership maps to outcomes. When those are implicit, growth creates drag. When they’re explicit, growth creates leverage. Most teams don’t realize the system is broken until the roadmap is already underwater. By then, fixing it feels painful—but it’s unavoidable. The teams that scale don’t hire their way out. They redesign how execution actually works. 5 Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in Jean-Pierre Palomba-Marin 1w Report this post Here’s the uncomfortable truth: engineers often have good reasons to be frustrated with their managers. But understanding why this happens is the first step toward fixing (or just coping with?) it. https://lnkd.in/dvVyjdBj Why Engineers Hate Their Managers (And What to Do About It) http://terriblesoftware.org Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in Cecilia Borg 2w Edited Report this post How Communicative and Proactive Engineering Managers makes the Difference 🤝 We often talk about autonomous teams. But autonomy without alignment doesn’t scale. In my Engineering Leaders Responsibility Model, a big part of the responsibility lives between teams — not inside a single one. This is where Engineering Managers make a real difference, how well they communicate and connect with other EMs and stakeholders. Understanding Business and Tech Engineering managers acts as a knowledgable spokesperson to relay constraints and value of - the business problem to the team - the technical challenges to the org ⸻ 1️⃣ Alignment across teams and strategy Engineering Managers are accountable for ensuring teams: • are aware of each other, technical and product dependencies matter • are aligned with the product strategy, not just their own backlog • can support each other, when dependencies or complex problems appear Autonomous teams still need shared direction. ⸻ 2️⃣ The EM group as a system 🧠 In the responsibility model, Engineering Managers don’t operate in isolation. As a group, they are responsible for: • sharing context around system complexity and technical trade-offs • supporting each other in people leadership and difficult situations • building a common understanding of product strategy across teams This is how local decisions become coherent at scale. ⸻ 3️⃣ Transparency enables coordination 🔍 One core responsibility is making work visible: • what teams are working on now and next • blockers, risks, and constraints • learnings that other teams can benefit from Transparency is not reporting — it’s enabling collaboration. ⸻ 4️⃣ Making trade-offs explicit to stakeholders 🎯 Towards Product Managers and other stakeholders, Engineering Managers are responsible for clarifying: • how much time goes into operational work • which technical initiatives need investment (e.g. AI exploration, reducing tech debt) • how this is balanced with product delivery These trade-offs exist whether we talk about them or not. The responsibility is to make them explicit, see screenshot. Many EMs already track this for tax reasons (CAPEX), use these numbers for yesterday's weather approximations. ------ 💪🏽 EM Leverage Engineering Managers create leverage by being: 1. Proactive – spotting misalignment, dependencies, and risks early 2. Transparent – making work, blockers, and trade-offs visible 3. Collaborative – enabling teams and EMs to help each other ⸻ 💡 In short Engineering Managers: • connect teams to each other • connect technology to product strategy • create flow across organizational boundaries 🔗 Engineering Leader Responsibility model: https://lnkd.in/giSVz_RG 18 Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in Morphixlabs 12 followers 2w Report this post Most subscription engineering models don’t fail because teams lack capacity. They fail because no one clearly owns outcomes. We’ve seen how unclear ownership quietly leads to delays, scope creep, and frustration over time. This article breaks down where things actually go wrong — and how teams can avoid it. #SoftwareEngineering #ProductDelivery #EngineeringLeadership https://lnkd.in/gVvffPdf Why Subscription Engineering Fails Without Ownership Clarity morphixlabs.com 4 Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in Amy Lee 2d Report this post Trust-first guide to managing distributed engineers by designing a delivery system: clear ownership, predictable rituals, measurable quality, and fast feedback. https://lnkd.in/gaujvbfb #offshoreteam #operatingsystem How to Manage an Offshore Team: A Practical Operating System for Reliable Delivery saigontechnology.com Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in 1,008 followers View Profile Connect Explore content categories Career Productivity Finance Soft Skills & Emotional Intelligence Project Management Education Technology Leadership Ecommerce User Experience Show more Show less LinkedIn © 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines العربية (Arabic) বাংলা (Bangla) Čeština (Czech) Dansk (Danish) Deutsch (German) Ελληνικά (Greek) English (English) Español (Spanish) فارسی (Persian) Suomi (Finnish) Français (French) हिंदी (Hindi) Magyar (Hungarian) Bahasa Indonesia (Indonesian) Italiano (Italian) עברית (Hebrew) 日本語 (Japanese) 한국어 (Korean) मराठी (Marathi) Bahasa Malaysia (Malay) Nederlands (Dutch) Norsk (Norwegian) ਪੰਜਾਬੀ (Punjabi) Polski (Polish) Português (Portuguese) Română (Romanian) Русский (Russian) Svenska (Swedish) తెలుగు (Telugu) ภาษาไทย (Thai) Tagalog (Tagalog) Türkçe (Turkish) Українська (Ukrainian) Tiếng Việt (Vietnamese) 简体中文 (Chinese (Simplified)) 正體中文 (Chinese (Traditional)) Language Sign in to view more content Create your free account or sign in to continue your search Sign in Welcome back Email or phone Password Show Forgot password? 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https://www.linkedin.com/posts/tiangolo_now-all-the-fastapi-and-friends-repos-are-activity-7415887207598710784-gShs | Now all the FastAPI and friends repos are fully managed by uv (as uv projects), because uv is awesome. It can even handle all our quirks. For development, publishing, scripts, CI, etc. Use uv… | Sebastián Ramírez Montaño | 36 comments Agree & Join LinkedIn By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Skip to main content LinkedIn Top Content People Learning Jobs Games Sign in Create an account Sebastián Ramírez Montaño’s Post Sebastián Ramírez Montaño 2d Report this post Now all the FastAPI and friends repos are fully managed by uv (as uv projects), because uv is awesome. It can even handle all our quirks. For development, publishing, scripts, CI, etc. Use uv. ✨ Thanks Jonathan for the migration! 🙌 1,572 36 Comments Like Comment Share Copy LinkedIn Facebook X Alexander Bejarano - [bejaˈrɑːnəʊ ] 2d Report this comment Whats UV? 😬 Like Reply 1 Reaction Alan Viana 2d Report this comment Love this move. uv + ruff + ty is basically the perfect modern Python toolchain, fast, deterministic and finally pleasant to maintain. This really raises the bar for Python platform hygiene. 🚀 Like Reply 28 Reactions 29 Reactions Lex Xai 2d Report this comment One of the powers is that it doesn't need to have any Python version in the system at all. Cold starts on Docker are now very easy from any image: uv venv -p 3.14t Like Reply 13 Reactions 14 Reactions Lex Xai 1d Report this comment But it's not ideal if you only use `uv pip install`. How do you update packages, like with `poetry update`? If you use `uv sync`, it works, but pure `uv pip install` presents a challenge for command pipelines. Like Reply 1 Reaction Bobby D. 19h Report this comment The post I didn't want but the post I needed. This is a huge nod of confidence. Question. What about non python dependencies that you might have? Does uv work well in those cases too? Like Reply 1 Reaction 2 Reactions Juan Marcos Mervi 2d Report this comment The glory will raise up to the stars when you will finally beat django… are you ready ? Like Reply 4 Reactions 5 Reactions Goodluck Igbokwe 1d Report this comment This is great to see! I have been using FastAPI with uv recently. I would really say that combining uv, pdm and ruff is slowly becoming my go-to trio. I switched a few internal APIs to this setup and the speed and clarity is wild. Nevertheless, I would appreciate to learn what were some of the quirks uv had to handle during the migration? Like Reply 2 Reactions 3 Reactions Eduardo Bonet 1d Report this comment I’m taking notes, so I can plan the transition of all my company projects from pip to uv for 2038 😂 Like Reply 1 Reaction 2 Reactions Ravi Balas 1d Report this comment uv really is becoming a game-changer for Python workflows — clean, fast, and flexible enough to handle real-world quirks Like Reply 1 Reaction 2 Reactions TUNJI DAVID OBIDOKUN 1d Report this comment I never touch "pip" again since i know uv . Like Reply 1 Reaction 2 Reactions See more comments To view or add a comment, sign in 82,177 followers 841 Posts 1 Article View Profile Connect More from this author Latest version of ROS (Robot Operating System) released Sebastián Ramírez Montaño 11y Explore content categories Career Productivity Finance Soft Skills & Emotional Intelligence Project Management Education Technology Leadership Ecommerce User Experience Show more Show less LinkedIn © 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines العربية (Arabic) বাংলা (Bangla) Čeština (Czech) Dansk (Danish) Deutsch (German) Ελληνικά (Greek) English (English) Español (Spanish) فارسی (Persian) Suomi (Finnish) Français (French) हिंदी (Hindi) Magyar (Hungarian) Bahasa Indonesia (Indonesian) Italiano (Italian) עברית (Hebrew) 日本語 (Japanese) 한국어 (Korean) मराठी (Marathi) Bahasa Malaysia (Malay) Nederlands (Dutch) Norsk (Norwegian) ਪੰਜਾਬੀ (Punjabi) Polski (Polish) Português (Portuguese) Română (Romanian) Русский (Russian) Svenska (Swedish) తెలుగు (Telugu) ภาษาไทย (Thai) Tagalog (Tagalog) Türkçe (Turkish) Українська (Ukrainian) Tiếng Việt (Vietnamese) 简体中文 (Chinese (Simplified)) 正體中文 (Chinese (Traditional)) Language Sign in to view more content Create your free account or sign in to continue your search Sign in Welcome back Email or phone Password Show Forgot password? Sign in or By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . New to LinkedIn? Join now or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . | 2026-01-13T08:48:28 |
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https://www.linkedin.com/company/devcyclehq?trk=organization_guest_main-feed-card_feed-actor-image | DevCycle | LinkedIn Skip to main content LinkedIn Top Content People Learning Jobs Games Sign in Register now DevCycle Software Development Toronto, Ontario 1,008 followers A feature flag management platform built for developers 👩💻 🚩 | Part of the OpenFeature Ecosystem 🌎 Follow Discover all 21 employees Report this company About us A feature flag management platform built for developers 👩💻 🚩 | Part of the OpenFeature Ecosystem 🌎 Website https://devcycle.com External link for DevCycle Industry Software Development Company size 11-50 employees Headquarters Toronto, Ontario Type Privately Held Founded 2021 Specialties feature flags, feature management, and developer productivity Locations Primary 49 Spadina Ave Suite 304 Toronto, Ontario 55V 2J1, US Get directions Employees at DevCycle Mark Allen Bryan Clark Chris Aniszczyk Julia Gilinets See all employees Updates DevCycle 1,008 followers 3w Report this post 🧑💻 Engineering managers: 😬 If every deploy makes your team nervous, the problem isn’t confidence — it’s tooling. 🧗 Feature flags turn production into a controlled environment, not a cliff edge. https://lnkd.in/esqHPr-f #FeatureFlags #SoftwareEng #EngManager by Mark Allen Why Feature Flags Are a Must in Every Engineering Manager’s Toolkit blog.devcycle.com Like Comment Share DevCycle 1,008 followers 3w Report this post ⏱️ Every hour your engineers spend maintaining a homegrown feature flag system 🏗️ Is an hour they’re not building features users actually pay for. DIY flags aren’t free. 🐢 They’re paid for in lost velocity, focus, and morale. https://lnkd.in/eqWXpDfE #FeatureFlags #SoftwareEng #EngManager by Mark Allen Why a Homegrown Feature Flag System is a Trap blog.devcycle.com Like Comment Share DevCycle 1,008 followers 3w Report this post ✅ The era of smashing the big green deploy button and praying is over. When AI writes code, you don’t launch it wide. You wrap it in a feature flag. Ship to prod. Turn it on for 3 people. Watch it breathe. Then roll it out. This is how AI code survives production. 🏕️ https://lnkd.in/da5eDB8W #FeatureFlags #SoftwareEng #EngManager by Mark Allen Who Knew Feature Flags Would Save AI Coding blog.devcycle.com 4 Like Comment Share DevCycle 1,008 followers 3w Report this post 👾 Engineering teams don’t slow down because of code 🐌 They slow down because every deployment is treated like a launch 🏎️ Feature flags fix that 👯♂️ Decouple deploy from release → ship faster, fear less, validate sooner 🔥 If you’re still shipping big-bang style… you’re burning velocity https://lnkd.in/esqHPr-f #FeatureFlags #SoftwareEng #EngManager by Mark Allen Why Feature Flags Are a Must in Every Engineering Manager’s Toolkit blog.devcycle.com 1 Like Comment Share DevCycle 1,008 followers 4w Report this post The real data is brutal: • 30% of engineering time lost to DIY flag maintenance 🚧 • 73% of flags never removed 🔒 • Thousands of hours per year navigating flag technical debt and bloat 🫃 Homegrown feature flags aren’t “lightweight.” They’re a slow bleed. 🩸 🩸 🩸 https://lnkd.in/eqWXpDfE #FeatureFlags #SoftwareEng #EngManager by Mark Allen Why a Homegrown Feature Flag System is a Trap blog.devcycle.com 2 1 Comment Like Comment Share DevCycle 1,008 followers 1mo Report this post 🔁 The modern dev loop (or cycle 😉) isn’t write → test → ship anymore. It’s: 🤖 generate → 🏁wrap behind feature flag → 🚀 deploy → 🍰 test on a tiny slice → 🛼 roll out 🏃💨 That loop is why AI-driven teams ship faster without lighting prod on 🔥🚒. https://lnkd.in/da5eDB8W #FeatureFlags #SoftwareEng #EngManager by Mark Allen Who Knew Feature Flags Would Save AI Coding blog.devcycle.com 2 Like Comment Share DevCycle 1,008 followers 1mo Report this post ⚔️ Most teams think they have a product/engineering alignment problem. 🏁 Really, they just don’t have feature flags. 🎚️ Flags turn launches into decisions, not deployments—PMs own timing, engineers own flow, and everyone sleeps better. https://lnkd.in/esqHPr-f #FeatureFlags #SoftwareEng #EngManager by Mark Allen Why Feature Flags Are a Must in Every Engineering Manager’s Toolkit blog.devcycle.com 5 Like Comment Share DevCycle reposted this Mark Allen 1mo Report this post I’ve always wrestled with building meaningful frontend + backend demos. Nothing breaks the illusion faster than fake auth flows or placeholder tokens. In the real world, we rely on proper JWTs; therefore, our demos should reflect that. To fix the gap, I built a small Express middleware that issues real JWTs for an email address, mimicking a lightweight IDP. With that, I’ve taken the next step and created an example app using OpenFeature and DevCycle across both the frontend and the backend. The app uses middleware to generate the token and pass it through the stack, end-to-end evaluating the user's feature flags as you would in a real app. If this helps you, I’d love a ⭐ or two and PRs are always welcome. #DevOps #FeatureFlags #OpenFeature #DevCycle #NodeJS #JavaScript #SoftwareEngineering #DevEx 22 1 Comment Like Comment Share DevCycle reposted this Andrew Norris 1mo Report this post 6 months ago our onboarding looked “fine.” Nice UI, polished tutorial, solid drop-off rates. But devs still weren’t hitting SDK install. So we nuked the tutorial and rebuilt around MCP — where onboarding happens in your editor. 3× more installs. https://lnkd.in/gGShAmhK MCP Onboarding for Feature Flagging: 3x SDK Installs blog.devcycle.com 15 1 Comment Like Comment Share DevCycle reposted this Andrew Norris 2mo Report this post We learned something big about onboarding: Even great tutorials can break if they pull developers away from their real workflow. So we rebuilt onboarding around MCP to bring DevCycle into the IDE. 3× more users now reach SDK install. How it works → https://lnkd.in/gGShAmhK MCP Onboarding for Feature Flagging: 3x SDK Installs blog.devcycle.com 8 1 Comment Like Comment Share Join now to see what you are missing Find people you know at DevCycle Browse recommended jobs for you View all updates, news, and articles Join now Similar pages Taplytics Software Development Toronto, Ontario Reprompt (YC W24) Technology, Information and Internet San Francisco, California sync. Software Development San Francisco, California FlexDesk Technology, Information and Internet New York City, NY Wasp Information Technology & Services Capi Money Financial Services VectorShift Technology, Information and Internet Sully.ai Hospitals and Health Care Mountain View, California TeamOut (YC W22) Software Development San Francisco, CA Optery Technology, Information and Internet Show more similar pages Show fewer similar pages Browse jobs Engineer jobs 555,845 open jobs Senior Product Designer jobs 20,576 open jobs User Experience Specialist jobs 7,714 open jobs User Interface Designer jobs 13,154 open jobs Product Designer jobs 45,389 open jobs Product Manager jobs 199,941 open jobs Business Partner jobs 188,284 open jobs User Experience Designer jobs 13,659 open jobs Developer jobs 258,935 open jobs Designer jobs 65,273 open jobs Business Intelligence Analyst jobs 43,282 open jobs Senior Software Engineer jobs 78,145 open jobs Business Development Associate jobs 31,101 open jobs President jobs 92,709 open jobs Salesperson jobs 172,678 open jobs Software Engineer jobs 300,699 open jobs Analyst jobs 694,057 open jobs Application Tester jobs 5,112 open jobs Embedded System Engineer jobs 116,786 open jobs Full Stack Engineer jobs 38,546 open jobs Show more jobs like this Show fewer jobs like this Funding DevCycle 1 total round Last Round Pre seed Feb 1, 2021 External Crunchbase Link for last round of funding See more info on crunchbase More searches More searches Engineer jobs Web Producer jobs Digital Product Manager jobs Intern jobs Training Specialist jobs Customer Experience Manager jobs Strategy Manager jobs President jobs Product Management Intern jobs Data Scientist jobs Project Manager jobs Developer jobs Software Engineer jobs Scientist jobs Full Stack Engineer jobs C Developer jobs Senior Software Engineer jobs Enterprise Account Executive jobs Key Account Manager jobs Buyer jobs Account Manager jobs Senior Product Manager jobs Manager jobs Business Development Representative jobs Site Reliability Engineer jobs Machine Learning Engineer jobs Technical Sales Specialist jobs Claims Adjuster jobs Support Representative jobs Application Developer jobs Support Specialist jobs Lead jobs Specialist jobs Lead Engineer jobs Geographic Information System Specialist jobs Account Executive jobs Geographic Information Systems Analyst jobs Analyst jobs Support Engineer jobs Engineering Manager jobs Product Manager jobs Frontend Developer jobs Software Engineering Manager jobs Senior Tax Manager jobs Technology Lead jobs Tax Attorney jobs Associate Attorney jobs Associate Brand Manager jobs Scout jobs Operations Manager jobs Marketing Coordinator jobs User Experience Designer jobs Science Manager jobs Product Associate jobs Ruby on Rails Developer jobs Quality Assurance Automation Engineer jobs Sourcer jobs Director jobs Data Engineer jobs Research Analyst jobs LinkedIn © 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines العربية (Arabic) বাংলা (Bangla) Čeština (Czech) Dansk (Danish) Deutsch (German) Ελληνικά (Greek) English (English) Español (Spanish) فارسی (Persian) Suomi (Finnish) Français (French) हिंदी (Hindi) Magyar (Hungarian) Bahasa Indonesia (Indonesian) Italiano (Italian) עברית (Hebrew) 日本語 (Japanese) 한국어 (Korean) मराठी (Marathi) Bahasa Malaysia (Malay) Nederlands (Dutch) Norsk (Norwegian) ਪੰਜਾਬੀ (Punjabi) Polski (Polish) Português (Portuguese) Română (Romanian) Русский (Russian) Svenska (Swedish) తెలుగు (Telugu) ภาษาไทย (Thai) Tagalog (Tagalog) Türkçe (Turkish) Українська (Ukrainian) Tiếng Việt (Vietnamese) 简体中文 (Chinese (Simplified)) 正體中文 (Chinese (Traditional)) Language Agree & Join LinkedIn By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . 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https://www.linkedin.com/legal/privacy-policy?session_redirect=&trk=registration-frontend_join-form-privacy-policy | LinkedIn Privacy Policy Skip to main content User Agreement Summary of User Agreement Privacy Policy Professional Community Policies Cookie Policy Copyright Policy Regional Info EU Notice California Privacy Disclosure U.S. State Privacy Laws User Agreement Summary of User Agreement Privacy Policy Professional Community Policies Cookie Policy Copyright Policy Regional Info EU Notice California Privacy Disclosure U.S. State Privacy Laws Privacy Policy Effective November 3, 2025 Your Privacy Matters LinkedIn’s mission is to connect the world’s professionals to allow them to be more productive and successful. Central to this mission is our commitment to be transparent about the data we collect about you, how it is used and with whom it is shared. This Privacy Policy applies when you use our Services (described below). We offer our users choices about the data we collect, use and share as described in this Privacy Policy, Cookie Policy , Settings and our Help Center. Key Terms Choices Settings are available to Members of LinkedIn and Visitors are provided separate controls. Learn More . Table of Contents Data We Collect How We Use Your Data How We Share Information Your Choices and Obligations Other Important Information Introduction We are a social network and online platform for professionals. People use our Services to find and be found for business opportunities, to connect with others and find information. Our Privacy Policy applies to any Member or Visitor to our Services. Our registered users (“Members”) share their professional identities, engage with their network, exchange knowledge and professional insights, post and view relevant content, learn and develop skills, and find business and career opportunities. Content and data on some of our Services is viewable to non-Members (“Visitors”). We use the term “Designated Countries” to refer to countries in the European Union (EU), European Economic Area (EEA), and Switzerland. Members and Visitors located in the Designated Countries or the UK can review additional information in our European Regional Privacy Notice . Services This Privacy Policy, including our Cookie Policy applies to your use of our Services. This Privacy Policy applies to LinkedIn.com, LinkedIn-branded apps, and other LinkedIn-branded sites, apps, communications and services offered by LinkedIn (“Services”), including off-site Services, such as our ad services and the “Apply with LinkedIn” and “Share with LinkedIn” plugins, but excluding services that state that they are offered under a different privacy policy. For California residents, additional disclosures required by California law may be found in our California Privacy Disclosure . Data Controllers and Contracting Parties If you are in the “Designated Countries”, LinkedIn Ireland Unlimited Company (“LinkedIn Ireland”) will be the controller of your personal data provided to, or collected by or for, or processed in connection with our Services. If you are outside of the Designated Countries, LinkedIn Corporation will be the controller of (or business responsible for) your personal data provided to, or collected by or for, or processed in connection with our Services. As a Visitor or Member of our Services, the collection, use and sharing of your personal data is subject to this Privacy Policy and other documents referenced in this Privacy Policy, as well as updates. Change Changes to the Privacy Policy apply to your use of our Services after the “effective date.” LinkedIn (“we” or “us”) can modify this Privacy Policy, and if we make material changes to it, we will provide notice through our Services, or by other means, to provide you the opportunity to review the changes before they become effective. If you object to any changes, you may close your account. You acknowledge that your continued use of our Services after we publish or send a notice about our changes to this Privacy Policy means that the collection, use and sharing of your personal data is subject to the updated Privacy Policy, as of its effective date. 1. Data We Collect 1.1 Data You Provide To Us You provide data to create an account with us. Registration To create an account you need to provide data including your name, email address and/or mobile number, general location (e.g., city), and a password. If you register for a premium Service, you will need to provide payment (e.g., credit card) and billing information. You create your LinkedIn profile (a complete profile helps you get the most from our Services). Profile You have choices about the information on your profile, such as your education, work experience, skills, photo, city or area , endorsements, and optional verifications of information on your profile (such as verifications of your identity or workplace). You don’t have to provide additional information on your profile; however, profile information helps you to get more from our Services, including helping recruiters and business opportunities find you. It’s your choice whether to include sensitive information on your profile and to make that sensitive information public. Please do not post or add personal data to your profile that you would not want to be publicly available. You may give other data to us, such as by syncing your calendar. Posting and Uploading We collect personal data from you when you provide, post or upload it to our Services, such as when you fill out a form, (e.g., with demographic data or salary), respond to a survey, or submit a resume or fill out a job application on our Services. If you sync your calendars with our Services, we will collect your calendar meeting information to keep growing your network by suggesting connections for you and others, and by providing information about events, e.g. times, places, attendees and contacts. You don’t have to post or upload personal data; though if you don’t, it may limit your ability to grow and engage with your network over our Services. 1.2 Data From Others Others may post or write about you. Content and News You and others may post content that includes information about you (as part of articles, posts, comments, videos) on our Services. We also may collect public information about you, such as professional-related news and accomplishments, and make it available as part of our Services, including, as permitted by your settings, in notifications to others of mentions in the news . Others may sync their calendar with our Services Contact and Calendar Information We receive personal data (including contact information) about you when others import or sync their calendar with our Services, associate their contacts with Member profiles, scan and upload business cards, or send messages using our Services (including invites or connection requests). If you or others opt-in to sync email accounts with our Services, we will also collect “email header” information that we can associate with Member profiles. Customers and partners may provide data to us. Partners We receive personal data (e.g., your job title and work email address) about you when you use the services of our customers and partners, such as employers or prospective employers and applicant tracking systems providing us job application data. Related Companies and Other Services We receive data about you when you use some of the other services provided by us or our Affiliates , including Microsoft. For example, you may choose to send us information about your contacts in Microsoft apps and services, such as Outlook, for improved professional networking activities on our Services or we may receive information from Microsoft about your engagement with their sites and services. 1.3 Service Use We log your visits and use of our Services, including mobile apps. We log usage data when you visit or otherwise use our Services, including our sites, app and platform technology, such as when you view or click on content (e.g., learning video) or ads (on or off our sites and apps), perform a search, install or update one of our mobile apps, share articles or apply for jobs. We use log-ins, cookies, device information and internet protocol (“IP”) addresses to identify you and log your use. 1.4 Cookies and Similar Technologies We collect data through cookies and similar technologies. As further described in our Cookie Policy , we use cookies and similar technologies (e.g., pixels and ad tags) to collect data (e.g., device IDs) to recognize you and your device(s) on, off and across different services and devices where you have engaged with our Services. We also allow some others to use cookies as described in our Cookie Policy. If you are outside the Designated Countries, we also collect (or rely on others, including Microsoft, who collect) information about your device where you have not engaged with our Services (e.g., ad ID, IP address, operating system and browser information) so we can provide our Members with relevant ads and better understand their effectiveness. Learn more . You can opt out from our use of data from cookies and similar technologies that track your behavior on the sites of others for ad targeting and other ad-related purposes. For Visitors, the controls are here . 1.5 Your Device and Location We receive data through cookies and similar technologies When you visit or leave our Services (including some plugins and our cookies or similar technology on the sites of others), we receive the URL of both the site you came from and the one you go to and the time of your visit. We also get information about your network and device (e.g., IP address, proxy server, operating system, web browser and add-ons, device identifier and features, cookie IDs and/or ISP, or your mobile carrier). If you use our Services from a mobile device, that device will send us data about your location based on your phone settings. We will ask you to opt-in before we use GPS or other tools to identify your precise location. 1.6 Communications If you communicate through our Services, we learn about that. We collect information about you when you communicate with others through our Services (e.g., when you send, receive, or engage with messages, events, or connection requests, including our marketing communications). This may include information that indicates who you are communicating with and when. We also use automated systems to support and protect our site. For example, we use such systems to suggest possible responses to messages and to manage or block content that violates our User Agreement or Professional Community Policies . 1.7 Workplace and School Provided Information When your organization (e.g., employer or school) buys a premium Service for you to use, they give us data about you. Others buying our Services for your use, such as your employer or your school, provide us with personal data about you and your eligibility to use the Services that they purchase for use by their workers, students or alumni. For example, we will get contact information for “ LinkedIn Page ” (formerly Company Page) administrators and for authorizing users of our premium Services, such as our recruiting, sales or learning products. 1.8 Sites and Services of Others We get data when you visit sites that include our ads, cookies or plugins or when you log-in to others’ services with your LinkedIn account. We receive information about your visits and interaction with services provided by others when you log-in with LinkedIn or visit others’ services that include some of our plugins (such as “Apply with LinkedIn”) or our ads, cookies or similar technologies. 1.9 Other We are improving our Services, which means we get new data and create new ways to use data. Our Services are dynamic, and we often introduce new features, which may require the collection of new information. If we collect materially different personal data or materially change how we collect, use or share your data, we will notify you and may also modify this Privacy Policy. Key Terms Affiliates Affiliates are companies controlling, controlled by or under common control with us, including, for example, LinkedIn Ireland, LinkedIn Corporation, LinkedIn Singapore and Microsoft Corporation or any of its subsidiaries (e.g., GitHub, Inc.). 2. How We Use Your Data We use your data to provide, support, personalize and develop our Services. How we use your personal data will depend on which Services you use, how you use those Services and the choices you make in your settings . We may use your personal data to improve, develop, and provide products and Services, develop and train artificial intelligence (AI) models, develop, provide, and personalize our Services, and gain insights with the help of AI, automated systems, and inferences, so that our Services can be more relevant and useful to you and others. You can review LinkedIn's Responsible AI principles here and learn more about our approach to generative AI here . Learn more about the inferences we may make, including as to your age and gender and how we use them. 2.1 Services Our Services help you connect with others, find and be found for work and business opportunities, stay informed, get training and be more productive. We use your data to authorize access to our Services and honor your settings. Stay Connected Our Services allow you to stay in touch and up to date with colleagues, partners, clients, and other professional contacts. To do so, you can “connect” with the professionals who you choose, and who also wish to “connect” with you. Subject to your and their settings , when you connect with other Members, you will be able to search each others’ connections in order to exchange professional opportunities. We use data about you (such as your profile, profiles you have viewed or data provided through address book uploads or partner integrations) to help others find your profile, suggest connections for you and others (e.g. Members who share your contacts or job experiences) and enable you to invite others to become a Member and connect with you. You can also opt-in to allow us to use your precise location or proximity to others for certain tasks (e.g. to suggest other nearby Members for you to connect with, calculate the commute to a new job, or notify your connections that you are at a professional event). It is your choice whether to invite someone to our Services, send a connection request, or allow another Member to become your connection. When you invite someone to connect with you, your invitation will include your network and basic profile information (e.g., name, profile photo, job title, region). We will send invitation reminders to the person you invited. You can choose whether or not to share your own list of connections with your connections. Visitors have choices about how we use their data. Stay Informed Our Services allow you to stay informed about news, events and ideas regarding professional topics you care about, and from professionals you respect. Our Services also allow you to improve your professional skills, or learn new ones. We use the data we have about you (e.g., data you provide, data we collect from your engagement with our Services and inferences we make from the data we have about you), to personalize our Services for you, such as by recommending or ranking relevant content and conversations on our Services. We also use the data we have about you to suggest skills you could add to your profile and skills that you might need to pursue your next opportunity. So, if you let us know that you are interested in a new skill (e.g., by watching a learning video), we will use this information to personalize content in your feed, suggest that you follow certain Members on our site, or suggest related learning content to help you towards that new skill. We use your content, activity and other data, including your name and photo, to provide notices to your network and others. For example, subject to your settings , we may notify others that you have updated your profile, posted content, took a social action , used a feature, made new connections or were mentioned in the news . Career Our Services allow you to explore careers, evaluate educational opportunities, and seek out, and be found for, career opportunities. Your profile can be found by those looking to hire (for a job or a specific task ) or be hired by you. We will use your data to recommend jobs and show you and others relevant professional contacts (e.g., who work at a company, in an industry, function or location or have certain skills and connections). You can signal that you are interested in changing jobs and share information with recruiters. We will use your data to recommend jobs to you and you to recruiters. We may use automated systems to provide content and recommendations to help make our Services more relevant to our Members, Visitors and customers. Keeping your profile accurate and up-to-date may help you better connect to others and to opportunities through our Services. Productivity Our Services allow you to collaborate with colleagues, search for potential clients, customers, partners and others to do business with. Our Services allow you to communicate with other Members and schedule and prepare meetings with them. If your settings allow, we scan messages to provide “bots” or similar tools that facilitate tasks such as scheduling meetings, drafting responses, summarizing messages or recommending next steps. Learn more . 2.2 Premium Services Our premium Services help paying users to search for and contact Members through our Services, such as searching for and contacting job candidates, sales leads and co-workers, manage talent and promote content. We sell premium Services that provide our customers and subscribers with customized-search functionality and tools (including messaging and activity alerts) as part of our talent, marketing and sales solutions. Customers can export limited information from your profile, such as name, headline, current company, current title, and general location (e.g., Dublin), such as to manage sales leads or talent, unless you opt-out . We do not provide contact information to customers as part of these premium Services without your consent. Premium Services customers can store information they have about you in our premium Services, such as a resume or contact information or sales history. The data stored about you by these customers is subject to the policies of those customers. Other enterprise Services and features that use your data include TeamLink and LinkedIn Pages (e.g., content analytics and followers). 2.3 Communications We contact you and enable communications between Members. We offer settings to control what messages you receive and how often you receive some types of messages. We will contact you through email, mobile phone, notices posted on our websites or apps, messages to your LinkedIn inbox, and other ways through our Services, including text messages and push notifications. We will send you messages about the availability of our Services, security, or other service-related issues. We also send messages about how to use our Services, network updates, reminders, job suggestions and promotional messages from us and our partners. You may change your communication preferences at any time. Please be aware that you cannot opt out of receiving service messages from us, including security and legal notices. We also enable communications between you and others through our Services, including for example invitations , InMail , groups and messages between connections. 2.4 Advertising We serve you tailored ads both on and off our Services. We offer you choices regarding personalized ads, but you cannot opt-out of seeing non-personalized ads. We target (and measure the performance of) ads to Members, Visitors and others both on and off our Services directly or through a variety of partners, using the following data, whether separately or combined: Data collected by advertising technologies on and off our Services using pixels, ad tags (e.g., when an advertiser installs a LinkedIn tag on their website), cookies, and other device identifiers; Member-provided information (e.g., profile, contact information, title and industry); Data from your use of our Services (e.g., search history, feed, content you read, who you follow or is following you, connections, groups participation, page visits, videos you watch, clicking on an ad, etc.), including as described in Section 1.3; Information from advertising partners , vendors and publishers ; and Information inferred from data described above (e.g., using job titles from a profile to infer industry, seniority, and compensation bracket; using graduation dates to infer age or using first names or pronoun usage to infer gender; using your feed activity to infer your interests; or using device data to recognize you as a Member). Learn more about the inferences we make and how they may be used for advertising. Learn more about the ad technologies we use and our advertising services and partners. You can learn more about our compliance with laws in the Designated Countries or the UK in our European Regional Privacy Notice . We will show you ads called sponsored content which look similar to non-sponsored content, except that they are labeled as advertising (e.g., as “ad” or “sponsored”). If you take a social action (such as like, comment or share) on these ads, your action is associated with your name and viewable by others, including the advertiser. Subject to your settings , if you take a social action on the LinkedIn Services, that action may be mentioned with related ads. For example, when you like a company we may include your name and photo when their sponsored content is shown. Ad Choices You have choices regarding our uses of certain categories of data to show you more relevant ads. Member settings can be found here . For Visitors, the setting is here . Info to Ad Providers We do not share your personal data with any non-Affiliated third-party advertisers or ad networks except for: (i) hashed IDs or device identifiers (to the extent they are personal data in some countries); (ii) with your separate permission (e.g., in a lead generation form) or (iii) data already visible to any users of the Services (e.g., profile). However, if you view or click on an ad on or off our Services, the ad provider will get a signal that someone visited the page that displayed the ad, and they may, through the use of mechanisms such as cookies, determine it is you. Advertising partners can associate personal data collected by the advertiser directly from you with hashed IDs or device identifiers received from us. We seek to contractually require such advertising partners to obtain your explicit, opt-in consent before doing so where legally required, and in such instances, we take steps to ensure that consent has been provided before processing data from them. 2.5 Marketing We promote our Services to you and others. In addition to advertising our Services, we use Members’ data and content for invitations and communications promoting membership and network growth, engagement and our Services, such as by showing your connections that you have used a feature on our Services. 2.6 Developing Services and Research We develop our Services and conduct research Service Development We use data, including public feedback, to conduct research and development for our Services in order to provide you and others with a better, more intuitive and personalized experience, drive membership growth and engagement on our Services, and help connect professionals to each other and to economic opportunity. Other Research We seek to create economic opportunity for Members of the global workforce and to help them be more productive and successful. We use the personal data available to us to research social, economic and workplace trends, such as jobs availability and skills needed for these jobs and policies that help bridge the gap in various industries and geographic areas. In some cases, we work with trusted third parties to perform this research, under controls that are designed to protect your privacy. We may also make public data available to researchers to enable assessment of the safety and legal compliance of our Services. We publish or allow others to publish economic insights, presented as aggregated data rather than personal data. Surveys Polls and surveys are conducted by us and others through our Services. You are not obligated to respond to polls or surveys, and you have choices about the information you provide. You may opt-out of survey invitations. 2.7 Customer Support We use data to help you and fix problems. We use data (which can include your communications) to investigate, respond to and resolve complaints and for Service issues (e.g., bugs). 2.8 Insights That Do Not Identify You We use data to generate insights that do not identify you. We use your data to perform analytics to produce and share insights that do not identify you. For example, we may use your data to generate statistics about our Members, their profession or industry, to calculate ad impressions served or clicked on (e.g., for basic business reporting to support billing and budget management or, subject to your settings , for reports to advertisers who may use them to inform their advertising campaigns), to show Members' information about engagement with a post or LinkedIn Page , to publish visitor demographics for a Service or create demographic workforce insights, or to understand usage of our services. 2.9 Security and Investigations We use data for security, fraud prevention and investigations. We and our Affiliates, including Microsoft, may use your data (including your communications) for security purposes or to prevent or investigate possible fraud or other violations of the law, our User Agreement and/or attempts to harm our Members, Visitors, company, Affiliates, or others. Key Terms Social Action E.g. like, comment, follow, share Partners Partners include ad networks, exchanges and others 3. How We Share Information 3.1 Our Services Any data that you include on your profile and any content you post or social action (e.g., likes, follows, comments, shares) you take on our Services will be seen by others, consistent with your settings. Profile Your profile is fully visible to all Members and customers of our Services. Subject to your settings , it can also be visible to others on or off of our Services (e.g., Visitors to our Services or users of third-party search tools). As detailed in our Help Center , your settings, degree of connection with the viewing Member, the subscriptions they may have, their usage of our Services , access channels and search types (e.g., by name or by keyword) impact the availability of your profile and whether they can view certain fields in your profile. Posts, Likes, Follows, Comments, Messages Our Services allow viewing and sharing information including through posts, likes, follows and comments. When you share an article or a post (e.g., an update, image, video or article) publicly it can be viewed by everyone and re-shared anywhere (subject to your settings ). Members, Visitors and others will be able to find and see your publicly-shared content, including your name (and photo if you have provided one). In a group , posts are visible to others according to group type. For example, posts in private groups are visible to others in the group and posts in public groups are visible publicly. Your membership in groups is public and part of your profile, but you can change visibility in your settings . Any information you share through companies’ or other organizations’ pages on our Services will be viewable by those organizations and others who view those pages' content. When you follow a person or organization, you are visible to others and that “page owner” as a follower. We let senders know when you act on their message, subject to your settings where applicable. Subject to your settings , we let a Member know when you view their profile. We also give you choices about letting organizations know when you've viewed their Page. When you like or re-share or comment on another’s content (including ads), others will be able to view these “social actions” and associate it with you (e.g., your name, profile and photo if you provided it). Your employer can see how you use Services they provided for your work (e.g. as a recruiter or sales agent) and related information. We will not show them your job searches or personal messages. Enterprise Accounts Your employer may offer you access to our enterprise Services such as Recruiter, Sales Navigator, LinkedIn Learning or our advertising Campaign Manager. Your employer can review and manage your use of such enterprise Services. Depending on the enterprise Service, before you use such Service, we will ask for permission to share with your employer relevant data from your profile or use of our non-enterprise Services. For example, users of Sales Navigator will be asked to share their “social selling index”, a score calculated in part based on their personal account activity. We understand that certain activities such as job hunting and personal messages are sensitive, and so we do not share those with your employer unless you choose to share it with them through our Services (for example, by applying for a new position in the same company or mentioning your job hunting in a message to a co-worker through our Services). Subject to your settings , when you use workplace tools and services (e.g., interactive employee directory tools) certain of your data may also be made available to your employer or be connected with information we receive from your employer to enable these tools and services. 3.2 Communication Archival Regulated Members may need to store communications outside of our Service. Some Members (or their employers) need, for legal or professional compliance, to archive their communications and social media activity, and will use services of others to provide these archival services. We enable archiving of messages by and to those Members outside of our Services. For example, a financial advisor needs to archive communications with her clients through our Services in order to maintain her professional financial advisor license. 3.3 Others’ Services You may link your account with others’ services so that they can look up your contacts’ profiles, post your shares on such platforms, or enable you to start conversations with your connections on such platforms. Excerpts from your profile will also appear on the services of others. Subject to your settings , other services may look up your profile. When you opt to link your account with other services, personal data (e.g., your name, title, and company) will become available to them. The sharing and use of that personal data will be described in, or linked to, a consent screen when you opt to link the accounts. For example, you may link your Twitter or WeChat account to share content from our Services into these other services, or your email provider may give you the option to upload your LinkedIn contacts into its own service. Third-party services have their own privacy policies, and you may be giving them permission to use your data in ways we would not. You may revoke the link with such accounts. The information you make available to others in our Services (e.g., information from your profile, your posts, your engagement with the posts, or message to Pages) may be available to them on other services . For example, search tools, mail and calendar applications, or talent and lead managers may show a user limited profile data (subject to your settings ), and social media management tools or other platforms may display your posts. The information retained on these services may not reflect updates you make on LinkedIn. 3.4 Related Services We share your data across our different Services and LinkedIn affiliated entities. We will share your personal data with our Affiliates to provide and develop our Services. For example, we may refer a query to Bing in some instances, such as where you'd benefit from a more up to date response in a chat experience. Subject to our European Regional Privacy Notice , we may also share with our Affiliates, including Microsoft, your (1) publicly-shared content (such as your public LinkedIn posts) to provide or develop their services and (2) personal data to improve, provide or develop their advertising services. Where allowed , we may combine information internally across the different Services covered by this Privacy Policy to help our Services be more relevant and useful to you and others. For example, we may personalize your feed or job recommendations based on your learning history. 3.5 Service Providers We may use others to help us with our Services. We use others to help us provide our Services (e.g., maintenance, analysis, audit, payments, fraud detection, customer support, marketing and development). They will have access to your information (e.g., the contents of a customer support request) as reasonably necessary to perform these tasks on our behalf and are obligated not to disclose or use it for other purposes. If you purchase a Service from us, we may use a payments service provider who may separately collect information about you (e.g., for fraud prevention or to comply with legal obligations). 3.6 Legal Disclosures We may need to share your data when we believe it’s required by law or to help protect the rights and safety of you, us or others. It is possible that we will need to disclose information about you when required by law, subpoena, or other legal process or if we have a good faith belief that disclosure is reasonably necessary to (1) investigate, prevent or take action regarding suspected or actual illegal activities or to assist government enforcement agencies; (2) enforce our agreements with you; (3) investigate and defend ourselves against any third-party claims or allegations; (4) protect the security or integrity of our Services or the products or services of our Affiliates (such as by sharing with companies facing similar threats); or (5) exercise or protect the rights and safety of LinkedIn, our Members, personnel or others. We attempt to notify Members about legal demands for their personal data when appropriate in our judgment, unless prohibited by law or court order or when the request is an emergency. We may dispute such demands when we believe, in our discretion, that the requests are overbroad, vague or lack proper authority, but we do not promise to challenge every demand. To learn more see our Data Request Guidelines and Transparency Report . 3.7 Change in Control or Sale We may share your data when our business is sold to others, but it must continue to be used in accordance with this Privacy Policy. We can also share your personal data as part of a sale, merger or change in control, or in preparation for any of these events. Any other entity which buys us or part of our business will have the right to continue to use your data, but only in the manner set out in this Privacy Policy unless you agree otherwise. 4. Your Choices & Obligations 4.1 Data Retention We keep most of your personal data for as long as your account is open. We generally retain your personal data as long as you keep your account open or as needed to provide you Services. This includes data you or others provided to us and data generated or inferred from your use of our Services. Even if you only use our Services when looking for a new job every few years, we will retain your information and keep your profile open, unless you close your account. In some cases we choose to retain certain information (e.g., insights about Services use) in a depersonalized or aggregated form. 4.2 Rights to Access and Control Your Personal Data You can access or delete your personal data. You have many choices about how your data is collected, used and shared. We provide many choices about the collection, use and sharing of your data, from deleting or correcting data you include in your profile and controlling the visibility of your posts to advertising opt-outs and communication controls. We offer you settings to control and manage the personal data we have about you. For personal data that we have about you, you can: Delete Data : You can ask us to erase or delete all or some of your personal data (e.g., if it is no longer necessary to provide Services to you). Change or Correct Data : You can edit some of your personal data through your account. You can also ask us to change, update or fix your data in certain cases, particularly if it’s inaccurate. Object to, or Limit or Restrict, Use of Data : You can ask us to stop using all or some of your personal data (e.g., if we have no legal right to keep using it) or to limit our use of it (e.g., if your personal data is inaccurate or unlawfully held). Right to Access and/or Take Your Data : You can ask us for a copy of your personal data and can ask for a copy of personal data you provided in machine readable form. Visitors can learn more about how to make these requests here . You may also contact us using the contact information below, and we will consider your request in accordance with applicable laws. Residents in the Designated Countries and the UK , and other regions , may have additional rights under their laws. 4.3 Account Closure We keep some of your data even after you close your account. If you choose to close your LinkedIn account, your personal data will generally stop being visible to others on our Services within 24 hours. We generally delete closed account information within 30 days of account closure, except as noted below. We retain your personal data even after you have closed your account if reasonably necessary to comply with our legal obligations (including law enforcement requests), meet regulatory requirements, resolve disputes, maintain security, prevent fraud and abuse (e.g., if we have restricted your account for breach of our Professional Community Policies ), enforce our User Agreement, or fulfill your request to "unsubscribe" from further messages from us. We will retain de-personalized information after your account has been closed. Information you have shared with others (e.g., through InMail, updates or group posts) will remain visible after you close your account or delete the information from your own profile or mailbox, and we do not control data that other Members have copied out of our Services. Groups content and ratings or review content associated with closed accounts will show an unknown user as the source. Your profile may continue to be displayed in the services of others (e.g., search tools) until they refresh their cache. 5. Other Important Information 5.1. Security We monitor for and try to prevent security breaches. Please use the security features available through our Services. We implement security safeguards designed to protect your data, such as HTTPS. We regularly monitor our systems for possible vulnerabilities and attacks. However, we cannot warrant the security of any information that you send us. There is no guarantee that data may not be accessed, disclosed, altered, or destroyed by breach of any of our physical, technical, or managerial safeguards. 5.2. Cross-Border Data Transfers We store and use your data outside your country. We process data both inside and outside of the United States and rely on legally-provided mechanisms to lawfully transfer data across borders. Learn more . 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https://dev.to/yumyum116/why-print-can-cause-a-tle-even-with-an-efficient-algorithm-4f7e#comments | Why print() Can Cause a TLE Even with an Efficient Algorithm - DEV Community Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. 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A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account DEV Community Close Add reaction Like Unicorn Exploding Head Raised Hands Fire Jump to Comments Save Boost More... Copy link Copy link Copied to Clipboard Share to X Share to LinkedIn Share to Facebook Share to Mastodon Share Post via... Report Abuse yumyum116 Posted on Jan 11 Why print() Can Cause a TLE Even with an Efficient Algorithm # python # programming Hi, everyone. This is yumyum116. This article is part of a series of how standard library functions work . I am glad that this will help beginners understand the underlying mechanisms behind these functions. This topic arose from a personal experience in which I encountered a TLE, despite using an efficient algorithm to solve the problem. After investigating, I discovered that the issue was caused by calling the print function too many times within the program . Based on this experience, this article explains how the print function works internally and why excessive use of it can lead to a TLE . 1. Example of a TLE Despite Using an Efficient Algorithm In this chapter, I introduce an example of a program that results in a TLE despite using an efficient algorithm. The program determines whether a given number is prime using the Sieve of Eratosthenes. At first glance, the algorithm itself is efficiet - but can you identify which part of the code causes of the TLE? For reference, the input number satisfies the following conditions: conditions: 1 < = n < = 380 , 000 1 <= n <= 380,000 1 <= n <= 380 , 000 1 < = a r r a y [ i ] < = 6 , 000 , 000 ( 1 < = i < = n ) 1 <= array[i] <= 6,000,000 (1 <= i <= n) 1 <= a rr a y [ i ] <= 6 , 000 , 000 ( 1 <= i <= n ) MAX_A = 6000000 def eratosthenes ( n ): is_prime = [ True ] * ( n + 1 ) is_prime [ 0 ] = is_prime [ 1 ] = False for i in range ( 2 , int ( n ** 0.5 ) + 1 ): if is_prime [ i ]: for j in range ( i * i , n + 1 , i ): is_prime [ j ] = False return is_prime n = int ( input ()) arr = [ int ( input ()) for _ in range ( n )] for i in range ( n ): print ( " prime " if is_prime ( arr [ i ]) else " not prime " ) Enter fullscreen mode Exit fullscreen mode Next, I introduce a program that that fixes the TLE issue. MAX_A = 6000000 def eratosthenes ( n ): is_prime = [ True ] * ( n + 1 ) is_prime [ 0 ] = is_prime [ 1 ] = False for i in range ( 2 , int ( n ** 0.5 ) + 1 ): if is_prime [ i ]: for j in range ( i * i , n + 1 , i ): is_prime [ j ] = False return is_prime n = int ( input ()) arr = [ int ( input ()) for _ in range ( n )] is_prime_table = eratosthenes ( MAX_A ) out = [] for x in arr : out . append ( " prime " if is_prime_table [ x ] else " not prime " ) print ( " \n " . join ( out )) Enter fullscreen mode Exit fullscreen mode In the next chapter, let's take a closer look at why the TLE happened. 2. What Happens Internally When Executing a Python Program Before diving into the main discussion, let's take a look at what actually happens when a Python program is executed. This section is a bit long, but understanding of this flow will help you build a deeper intuition about how Python programs work under the hood. At a high level, the execution flow looks like this: Execute a Python program. -- the python interpreter starts runnung -- Perform lexical analysis by breaking the source code into tokens. Generate a sequence of tokens. Parse the token sequence. Build an Abstract Syntax Tree (AST). Generate code objects from the AST. Compile the code objects into bytecode. Execute the bytecode on the Python virtual machine. -- the python interpreter completes execution -- Execute machine instructions on the CPU. Now, let's walk through a simple example. Consider the following Python program (1). # test.py print ( " Hi, how are you? " ) Enter fullscreen mode Exit fullscreen mode Lexical Analysis When the Python interpreter runs test.py, it first performs lexical analysis. During this process, the source code is broken down into tokens such as Hi , , , how , are , you , and ? . Parsing Based on the tokens generated during lexical analysis, the interpreter builds a data structure called an Abstract Syntax Tree (AST) through parsing. Let's take an actual look at the AST objects generated when executing test.py . $ python > import ast > tree = ast.parse('print("Hi, how are you?")') > > print(ast.dump(tree, indent=4)) Module( body=[ Expr( value=Call( func=Name(id='print', ctx=Load()), args=[ Constant(value='Hi, how are you?')], keywords=[]))], type_ignores=[]) > Enter fullscreen mode Exit fullscreen mode If you want to better grasp the structure of an AST, using a sentence that includes mathematical expressions can be very helpful. However, that is beyond the scope of this article. Now, let's break down the generated AST. ① func=Name(id = 'print', ctx=Load()) This means the identifier print is loaded as a value. ctx , which is one of the arguments of the Name node, specifies how the identifier is used. It can be set to Store() when assigning a value, Load() when reading a value, or Del() when deleting an element. Structurally, this can be summarized as follows: A Name node is a parsing node that contains the following information: The presence of the identifier print in the source code. How the identifier is used in context (in this example, it is used as Load() ). ② args=[Constant(value='Hi, how are you?')] This represents a structural node that holds the value of an argument passed to a function. In computer science terms, this is an AST node that represents a string literal. For reference, the Constant node has been used since Python 3.8, whereas Str was used in earlier versions of Python (prior to 3.8). ③ Call(...) This node represents a function call statement and stores the following information: i. func - information about the called object ii. args - expressions to be evaluated as positional arguments iii. keywords - expressions to be evaluated as keyword arguments ④ Expr(...) This node represents an expression whose purpose is only to produce output. There are many other nodes at the same hierarchical level as Expr , each serving a different role. However, due to the scope of this article, I will introduce those nodes in a separate article. ⑤ Module(...) This node represents the root AST node of a .py file. As a supplement, body=[...] is a list of statements included in the source code, and type_ignores=[] stores additional information for type checkers. For example, it records the line numbers of comments that instruct the type checker to ignore type errors. Generate Code Objects from the AST In this step, the following processes are performed. ① Analyze the AST and perform the following tasks: (i) Determine whether each variable is local, global, or free. (ii) Register constants in the constant table. (iii) Build a code object for each function and class. ② Build the structural body of a PyCodeObject Ideally, the following elements are constructed as the internal structure of the code object. CodeObject { co_consts co_names co_varnames co_freevars co_cellvars co_flags co_code } Enter fullscreen mode Exit fullscreen mode Generate bytecode After completing syntax analysis, the Python interpreter generates bytecode from the AST. During this process, a source file named compile.c is executed. This file implements the compiler that translates the AST into bytecode. The resulting bytecode is expressed as follows: >> import dis >>> dis.dis('print("Hi, how are you?")') 0 0 RESUME 0 1 2 PUSH_NULL 4 LOAD_NAME 0 (print) 6 LOAD_CONST 0 ('Hi, how are you?') 8 CALL 1 16 RETURN_VALUE Enter fullscreen mode Exit fullscreen mode This representation is close to programs written in assembly or machine language, and LOAD_NAME 0 corresponds to a single bytecode instruction. The full list of bytecode instructions can be found in opcode.h . From a computer science perspective, this process converts the AST into instructions for a stack machine by traversing the AST nodes. Conceptually, the following sequence of instructions is generated: co_code = [ LOAD_NAME print LOAD_CONST "Hi, how are you?" CALL 1 RETURN_VALUE ] Enter fullscreen mode Exit fullscreen mode Through this process, the bytecode is transformed into a form that the virtual machine can interpret directly. Execute the bytecode on the Python virtual machine As I mentioned in the section Generate bytecode , the Python virtual machine is a type of stack machine , which primarily uses a stack during calculation. A stack is a data structure used to store values in such a way that new data is added on top of existing data. When data is removed, the most recently added value is taken first. This behavior is known as Last In, First Out(LIFO) . The bytecode generated by the Python interpreter is designed to be executed efficiently on a stack-based virtual machine. Below, you can see a simplified explanation of how the previously shown bytecode is executed. For clarify, some details are omitted, so this description is not perfectly precise, but it should help build intuition. Instruction Meaning RESUME 0 Represent the start of a function call PUSH_NULL Push NULL onto the stack to indicate that this is not a method call LOAD_NAME 0 (print) Push the value of the variable print onto the stack LOAD_CONST 0 ('Hi, how are you?') Push the value of the variable Hi, how are you? onto the stack CALL 1 Pop the number of values specified by the variable argc from the top of the stack, and call the corresponding callable object RETURN_VALUE Return to the original caller On the Python virtual machine, this bytecode is executed sequentially from the top, with each instruction performing operations that push the resulting Python objects onto the stack. Execute machine instructions on the CPU The CPU executes programs that have been loaded into memory. In the case of Python, the CPU executes the machine instructions that implement the Python virtual machine. Let me briefly explain what machine instructions are. Machine instructions represent operations using binary values composed of zeros and ones. For readability, hexadecimal notation is often used so that humans can more easily interpret them. If you are interested, you can open a .pyc file using a binary editor to see this representation yourself. In the case of test.py , the machine instructions would look like the following. Note that these are shown in hexadecimal for human readability and differ from the actual machine instructions executed directly by the CPU. Now, let's return to the main discussion. For example, the CALL 1 bytecode instruction corresponds to invoking a specific case in a switch statement in C, conceptually described as follows: switch (opcode){ case CALL: /* Call a function with the given arguments */ } Enter fullscreen mode Exit fullscreen mode To describe the entire flow precisely -- from execution on the Python virtual machine to execution on the CPU --it can be summarized as follows: The CALL 1 instruction is read by CPython's C implementation, which branches to the corresponding case CALL: in a switch statement. The CPU then executes the machine instructions that implement that case CALL: within CPython itself. At the Python level, the callable function is written as print . However, the actual callable object is implemented in CPython's C code, specifically as builtin_print_impl . The above describes the complete flow of how a Python program is executed. 3. What Happens When the print Function Is Called? Now, let's take a closer look at the behavior of the print function. Briefly speaking, print is not part of the standard library--it is a built-in function . Built-in functions are implemented directly in CPython's C source code. You can find the function object for print in the CPython repository here . As mentioned in the previous section, the impolementation corresponding to print is builtin_print_impl . To keep the discussion focused, I will paste the relevant part of the original source code below. static PyObject * builtin_print_impl(PyObject *module, PyObject *args, PyObject *sep, PyObject *end, PyObject *file, int flush) /*[clinic end generated code: output=3cfc0940f5bc237b input=c143c575d24fe665]*/ { int i, err; if (file == Py_None) { PyThreadState *tstate = _PyThreadState_GET(); file = _PySys_GetAttr(tstate, &_Py_ID(stdout)); if (file == NULL) { PyErr_SetString(PyExc_RuntimeError, "lost sys.stdout"); return NULL; } /* sys.stdout may be None when FILE* stdout isn't connected */ if (file == Py_None) { Py_RETURN_NONE; } } if (sep == Py_None) { sep = NULL; } else if (sep && !PyUnicode_Check(sep)) { PyErr_Format(PyExc_TypeError, "sep must be None or a string, not %.200s", Py_TYPE(sep)->tp_name); return NULL; } if (end == Py_None) { end = NULL; } else if (end && !PyUnicode_Check(end)) { PyErr_Format(PyExc_TypeError, "end must be None or a string, not %.200s", Py_TYPE(end)->tp_name); return NULL; } for (i = 0; i < PyTuple_GET_SIZE(args); i++) { if (i > 0) { if (sep == NULL) { err = PyFile_WriteString(" ", file); } else { err = PyFile_WriteObject(sep, file, Py_PRINT_RAW); } if (err) { return NULL; } } err = PyFile_WriteObject(PyTuple_GET_ITEM(args, i), file, Py_PRINT_RAW); if (err) { return NULL; } } if (end == NULL) { err = PyFile_WriteString("\n", file); } else { err = PyFile_WriteObject(end, file, Py_PRINT_RAW); } if (err) { return NULL; } if (flush) { PyObject *tmp = PyObject_CallMethodNoArgs(file, &_Py_ID(flush)); if (tmp == NULL) { return NULL; } Py_DECREF(tmp); } Py_RETURN_NONE; } Enter fullscreen mode Exit fullscreen mode When the print function is called, characters are displayed on the standard output through the following sequenc of steps: Execute Python source code. Compile the source code into Python bytecode. Execute the bytecode on the Cpython virtual machine. Invoke the built-in print function. Call file.write() . Call the C standard library function write() . -- The steps above are executed within the Python runtime layer .-- Invoke a system call handled by the operating system kernel. Output the characters to the standard output. The connection between these steps and the previous sections may not be immediately clear, so before explaining each operation in detail, I will first provide some additional context. The steps above describe the observable behavior at a high level, while the CPU is continuously executing instructions behind the scenes. From the CPU's perspective, the steps above can be described as follows: While executing the machine instructions that implement the CPython virtual machine, the CPU reaches a CALL instruction and invokes the machine instructions corresponding to the built-in print function. During this process, execution transitions through PyFile_WriteObject to FileIO.write , and finally to the write system call. Visually, the process can be illustrated as follows: CPU └─ CPython VM（machine instructions） └─ builtin print（machine instructions） └─ PyFile_WriteObject（machine instructions） └─ FileIO.write（machine instructions） └─ libc write（machine instructions） └─ kernel write（machine instructions） Enter fullscreen mode Exit fullscreen mode With this overview in mind, let's move on to a detailed explanation of the entire execution flow of the print function. Invoke the Built-in print Function Here, the actual callable object is defined as follows: static PyObject * builtin_print_impl(PyObject *module, PyObject *args, PyObject *sep, PyObject *end, PyObject *file, int flush) Enter fullscreen mode Exit fullscreen mode When this object is invoked, the following steps are executed: ① Receive the given arguments as PyObject* values. ② Interpret the sep , end , file , and flush parameters. ③ Determine the output destination ( file ), which defaults to sys.stdout . Invoke the file.write() method on the output file object In the following C implementation, the write method of the Python file object is invoked. PyFile_WriteObject(obj, file, Py_PRINT_RAW); Enter fullscreen mode Exit fullscreen mode Within builtinmodule.c , which was introduced in the previous section, the following function corresponds to this behavior. PyFile_WriteObject(sep, file, Py_PRINT_RAW) Enter fullscreen mode Exit fullscreen mode In effect, this is equivalent to calling sys.stdout.write(...) at the Python level. Invoke the standard library function write() Python's sys.stdout is composed of multiple layers of wrapper objects, as illustrated below. TextIOWrapper └─ BufferedWriter └─ FileIO Enter fullscreen mode Exit fullscreen mode The C implementation of FileIO.write() is located in Module/_io/fileio.c , and the function _io_FileIO_write_impl provides the low-level implementation of FileIO.write() . /*[clinic input] _io.FileIO.write cls: defining_class b: Py_buffer / Write buffer b to file, return number of bytes written. Only makes one system call, so not all of the data may be written. The number of bytes actually written is returned. In non-blocking mode, returns None if the write would block. [clinic start generated code]*/ static PyObject * _io_FileIO_write_impl(fileio *self, PyTypeObject *cls, Py_buffer *b) /*[clinic end generated code: output=927e25be80f3b77b input=2776314f043088f5]*/ { Py_ssize_t n; int err; if (self->fd < 0) return err_closed(); if (!self->writable) { _PyIO_State *state = get_io_state_by_cls(cls); return err_mode(state, "writing"); } n = _Py_write(self->fd, b->buf, b->len); /* copy errno because PyBuffer_Release() can indirectly modify it */ err = errno; if (n < 0) { if (err == EAGAIN) { PyErr_Clear(); Py_RETURN_NONE; } return NULL; } return PyLong_FromSsize_t(n); } Enter fullscreen mode Exit fullscreen mode ( source ) The function prototype is shown below: _Py_write(fd, buf, size) Enter fullscreen mode Exit fullscreen mode At this level, execution transitions from the Python layer to the C I/O layer. Invoke a System Call Handled by the Operating System Kernel. In the entire execution of the print function, this step is the most expensive. During a system call, the following operations occur: ① Transition from user space to kernel space. ② Perform a context switch. ③ Write to standard output within the operating system. Transition from User Space to Kernel Space This step means that the CPU switches its execution mode. User space is where ordinary applications, such as Python programs, CPython itself and standard libraries, run. Code in user space cannot directly access hardware devices or protected memory. Kernel space is where the operating system runs. Device operations, file I/O and process management are handled in this space. The print function must transition from user space to kernel space in order to perform device-related operations. You can think of this transition as occurring when a system call, such as write() , is invoked. Perform a Context Switch This step means that the CPU switches its execution context. There are two types of context switches. One is (A) a transition from user mode to kernel mode, as described above. The other is (B) a process switch, where the CPU switches from one process to another. In the case of the print function, the important context switch is (A). This mode transition caused by a system call is the primary reason why I/O operations are expensive. The Operating System Handles Standard Output Briefly speaking, this step sends an instruction to the operating system that says, "Write these characters to the file descriptor whose value is 1." (File descriptor 1 corresponds to standard output.) Conceptually, standard output is processed as follows. Execute sys_write(fd=1, buf) ↓ Resolve the file descriptor to an internal file structure ↓ Route the output to the corresponding device, file, or pipe ↓ Apply buffering if necessary Enter fullscreen mode Exit fullscreen mode To summarize this flow more simply: When print() is called, CPython invokes write() , which switches the CPU execution mode from user mode to kernel mode. The operating system then resolves the file descriptor with value 1 (standard output) and writes the data to the appropriate destination, such as a terminal, file, or pipe. These kernel-level operations and device I/O are significantly more expensive than the mode switch itself, which is why frequent calls to print() can easily become a performance bottleneck. Output Characters To the Standard Output The kernel sends the characters to the appropriate output destination , which in this case is the terminal. 4. The Cause of the TLE: Calling print Inside a for Loop First of all, thank you for staying with me up to this point. As stated in the heading, the cause of the TLE I encountered was the repeated use of the print function inside a for loop. More precisely, the implementation introduced in the first chapter, which is described below, triggers a TLE because print is executed on every iteration of the loop. for i in range(n): print("prime" if is_prime(arr[i]) else "not prime") Enter fullscreen mode Exit fullscreen mode Each time the loop variable i i i is incremented by 1 , the print function is called. As explained throughout this article, calling print involves kernel-level operations and device I/O. Executing these expensive operations on every iteration significantly degrades performance. For example, when the maximum input value of 380,000 is provided, the print() function is invoked 380,000 times. This workload is simply too heavy for the CPU and the operating system to handle efficiently. This example clearly demonstrates that--even when using an efficient algorithm--an inappropriate implementation choice can lead to disastrous performance under the given input constraints. Now, let's take another look at the revised program. out = [] for x in arr: out.append("prime" if is_prime_table[x] else "not prime") print("\n".join(out)) Enter fullscreen mode Exit fullscreen mode No matter how large the input value is, collecting the output values in an array results in calling the print function only once. When you compare a single call to print with 380,000 calls, the difference in CPU workload becomes immediately clear. This experience taught me an important lesson: when you encounter a TLE despite using an efficient algorithm, suspect I/O operations . I hope this article has helped you gain a deeper understanding of what happens behind the scenes and why such performance issues occur. If you find any mistakes, please let me know through the feedback form. I will revise them as quickly as possible. See you again in the next article! Top comments (0) Subscribe Personal Trusted User Create template Templates let you quickly answer FAQs or store snippets for re-use. Submit Preview Dismiss Code of Conduct • Report abuse Are you sure you want to hide this comment? It will become hidden in your post, but will still be visible via the comment's permalink . Hide child comments as well Confirm For further actions, you may consider blocking this person and/or reporting abuse yumyum116 Follow A beginner who wants to transit my career into software engineer. 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Portal","path":"https://developer.twitter.com/en/portal/petition/essential/basic-info"}]" data-cta-enabled="true" data-profile-enabled="true" data-cta-link-new-tab="false" data-root-page-title="Developer Platform"> Developer terms Developer Policy Let's get started X + Developers Using this policy X + Developers Using this policy X + Developers X loves developers. We’re delighted and amazed by the tools and services this community creates by harnessing the power of X data. As part of our commitment to this community, we aim to provide data access that is open and fair for developers, safe for people on X, and beneficial for the X platform as a whole. To further these goals we’ve crafted the Developer Policy as a guide to help people understand our rules and expectations about appropriate API and X Content usage. This Developer Policy (“ Policy ”) provides rules and guidelines for developers who interact with X’s ecosystem of applications, services, website, web pages and content. It is part of your contract with X governing access to and use of the X API and X Content (either as part of the Developer Agreement or other written agreement with X). Policy violations are considered violations of your agreement. This Policy may be changed from time to time without notice. Capitalized terms used in this Policy, which are not defined in this Policy, will have the respective meanings ascribed to them in the Developer Agreement or the Master License Agreement. Using this policy We’ve structured this policy to make it as easy to follow as possible. Please keep information from the following policy sections top of mind as you use the X API and X Content: 1. Set Yourself Up for Success - You are responsible for complying with all X policies. It’s important that you review and understand this Policy, as well as the policies we link to in this document, before you access the X API and X Content. The time spent reviewing our policies may save you hours of rework down the road. 2. Privacy and Control are Essential - Protecting and defending the privacy of people on X is built into the core DNA of our company. As such, we prohibit the use of X data in any way that would be inconsistent with people’s reasonable expectations of privacy. By building on the X API or accessing X Content, you have a special role to play in safeguarding this commitment, most importantly by respecting people’s privacy and providing them with transparency and control over how their data is used. 3. Follow the Platform Usage Guidelines - Getting approved to access the X API and X Content is just the first step. Our Platform Usage Guidelines should be your first stop anytime you have questions about how to ensure policy compliance for your planned use of the X platform. We’ve provided a lot more detail on what each of these three key sections mean below. Please review them carefully to ensure that your usage of the X API and X Content is consistent with our policies. If we believe you are in violation of this Policy (or any other X policy), we may suspend or permanently revoke your access to the X API and X Content. Finally, please note that X may monitor your use of the X API to improve the X Applications, to examine any commercial use, and to ensure your compliance with your approved use case and this Policy. Thanks for reading, and thank you for building with us! We look forward to seeing what you create! Chapter 1 Set yourself up for success Set yourself up for success Set yourself up for success Set yourself up for success You can avoid many potential pitfalls while using the X API by ensuring that your service has been built the right way from day 1. This section of the Developer Policy contains rules that all developers must follow before using the X API or X Content. The Free, Basic, and Pro plans (as described at developer.x.com/en ) are designed for hobbyists, commercial prototyping, early-stage X product integrations, and supporting applications with limited end-users. If you use the X API and X Content beyond this scope, then you must apply (or already subscribe to) an Enterprise plan (as described at developer.x.com/en ). We review all proposed uses of the X developer platform to verify policy compliance — so you’re required to disclose (and update, as applicable) your planned use of the X API and X Content in order to be granted and to maintain access. All new developers must apply for a developer account to access the X API. Current developers without an approved developer account must apply for one as directed to do so by X. As part of this process, you’ll need to provide us with a written description of your intended uses of the X API and X Content. Your use case description is binding on you, and any substantive deviation from it may constitute a violation of our rules and result in enforcement action. You must notify us of any substantive modification to your use case and receive approval before you may begin using X Content for that new purpose. Failure to do so may result in suspension and termination of your API and data access. By building on the X API or accessing X Content, you must comply with ALL X policies. These include this Developer Policy , the Automation Rules , the Display Requirements , the API Restricted Uses Rules , the X Rules , and the X Brand Resources , as well as any other agreements you enter into with X relating to your use of the X API or X Content, including but not limited to the Developer Agreement or a Master Licensing Agreement or Order (as applicable). You must also comply with any modifications to these policies and any new policies launched by X. It is your responsibility to monitor the use of your service and to design your service to prevent violations of X policy by people who use it. Failure to do so may result in suspension or termination of your API and X Content access. You may not register multiple applications for a single use case or substantially similar or overlapping use cases. In this context, a “use case” is a consistent set of analyses, displays, or actions performed via an application. "White label" versions of a tool or service are not permissible. If you plan to “white label” versions of your application, you must notify and receive separate approval from us. As a single exception to these rules, you may create and use a maximum of 3 applications for development, staging, and production instances of the same service. These apps must be registered to a single account, and should be clearly identified (in the name and description) as dev, staging, and prod instances of a single service. You may not use development or staging applications for production purposes. You must keep all API keys or other access credentials private. You may not use, and may not encourage or facilitate others to use, API keys or other access credentials owned by others. Your license agreement with X limits your use of the X API and X Content. Among other things, the X API has rate limits which help to ensure fair data usage and to combat spam on the platform. You may not exceed or circumvent rate limits, or any other limitations or restrictions described in this Policy or your agreement with X, listed on the Developer Site , or communicated to you by X. You may not remove or alter any proprietary notices or marks on X Content received via the X API. This helps to make sure that people know where X Content is coming from, and who it belongs to. For data integrity and platform health reasons, you may not interfere with, intercept, disrupt, or disable any features of the X API or the X service. In other words, use the APIs as intended and documented on developer.x.com . Refer to our HackerOne guidelines for more details about acceptable use. Chapter 2 Privacy and control are essential Privacy and control are essential Consent & permissions Content compliance Off-X matching Your privacy policy Using geo-data X passwords Privacy and control are essential Consent & permissions Content compliance Off-X matching Your privacy policy Using geo-data X passwords Privacy and control are essential X takes privacy seriously, and we expect everyone using X Content and the X API to do the same. Any use of the X developer platform, X API, or X Content in a manner that is inconsistent with peoples’ reasonable expectations of privacy may be subject to enforcement action, which can include suspension and termination of API and X Content access. Your commitment to privacy and control must extend to all uses of X Content and all aspects of the service that you build using our API. To that end, the people using your service must understand and consent to how you use their data, and how you access X on their behalf. This can be accomplished through providing people with a clear, comprehensive, and transparent privacy policy, as well as ensuring that you get express and informed consent from each person using your service before taking any action on their behalf. Please note that a person authenticating into your service does not by itself constitute consent. Consent & permissions In particular, you must get express and informed consent from people before doing any of the following: Taking any actions on their behalf. This includes (but is not limited to): Posting content to X Following/unfollowing accounts Modifying profile or account information Adding hashtags or any other content to Posts Republishing content accessed by means other than via the X API or other X tools Using someone’s X Content to promote a product or service Storing non-public content such as Direct Messages (DMs), or any other private or confidential information Sharing or publishing protected content, or any other private or confidential information If your service allows people to post content to X you must do the following before publishing: Show exactly what will be published Make it clear to people using your service what geo information (if any) will be added to the content If your service allows people to post content to both your service and X, you must do the following before publishing: Obtain permission to post the content Explain where you will post the content You must respect the protected and blocked status of all X Content. You may not serve content obtained using one person’s authentication token to a different person who is not authorized to view that content. Protected accounts: A protected account ’s content is only available to people who have been approved by the owner to follow that account. So, if you run a service that accesses protected accounts, you may only do so to serve such content to the specific people with permission to view that content. Blocked accounts: People on X are able to block access to their accounts for any reason they choose. Commingling information obtained from tokens (or any other API-based action) to bypass this choice is not permitted. As Direct Messages (DMs) are non-public in nature, services that provide DM features must take extra steps to safeguard personal privacy. You may not serve DM content to people who are not authorized to view that content. If your service provides DM functionality you must also: Notify people if you send read receipt events for DMs. You can do this by providing a notice directly in your service, or by displaying read receipts from other participants in a conversation. Get consent before configuring media to be sent in a DM as "shared" (i.e. reusable across multiple DMs). If you do allow media in a DM to be “shared,” you must provide a clear notice that this content will be accessible to anyone with the media’s URL. Content compliance If you store X Content offline, you must keep it up to date with the current state of that content on X. Specifically, you must delete or modify any content you have if it is deleted or modified on X. This must be done as soon as reasonably possible, or within 24 hours after receiving a request to do so by X or the applicable X account owner, or as otherwise required by your agreement with X or applicable law. This must be done unless otherwise prohibited by law, and only then with the express written permission of X. Modified content can take various forms. This includes (but is not limited to): Content that has been made private or gained protected status Content that has been suspended from the platform Content that has had geotags removed from it Content that has been withheld or removed from X Off-X matching We limit the circumstances under which you may match a person on X to information obtained or stored off-X. Off-X matching involves associating X Content, including a X @handle or user ID, with a person, household, device, browser, or other off-X identifier. You may only do this if you have express opt-in consent from the person before making the association, or as described below. In situations in which you don’t have a person’s express, opt-in consent to link their Xidentity to an off-X identifier, we require that any connection you draw be based only on information that someone would reasonably expect to be used for that purpose. In addition, absent a person’s express opt-in consent you may only attempt to match your records about someone to a X identity based on: Information provided directly to you by the person. Note that records about individuals with whom you have no prior relationship, including data about individuals obtained from third parties, do not meet this standard; and/or Public data. “Public data” in this context refers to: Information about a person that you obtained from a public, generally-available resource (such as a directory of members of a professional association) Information on X about a person that is publicly available, including: Posts Profile information, including an account bio and publicly-stated location Display name and @handle Your privacy policy You must display your service’s privacy policy to people before they are permitted to download, install, or sign up to your service. It must disclose at least the following information: The information that you collect from people who use your service How you use and share that information (including with X) How people can contact you with inquiries and requests regarding their information Your privacy policy must be consistent with all applicable laws, and be no less protective of people than X’s Privacy Policy and the privacy policy of our other services and corporate affiliates . You must cease your access to the X API and the use of all X Content if you are unable to comply with your and/or X’s Privacy Policy. Using geo-data Use of geo data comes with additional restrictions due to the sensitive nature of this information. If your service adds location information to Posts, you must disclose to people: When you add location information Whether you add location information as a geotag or annotations data Whether your location information is listed as a place, or as geographic coordinates If your application allows people to post with their location you must comply with X’s geo guidelines in full. Any use of location data or geographic information on a standalone basis is prohibited. You may not (and may not permit others to) store, aggregate, or cache location data and other geographic information contained in X Content, except as part of a Post. For example, you may not separate location data or geographic information out from Posts to show where individuals have been over time. Heat maps and related tools that show aggregated geo activity (e.g., the number of people in a city using a hashtag) are permitted. X passwords You may not store X passwords, or request that people provide their X password, account credentials, or developer application information (including consumer key) to you directly. We suggest the use of Sign-in with X as the authentication tool to link your service and people on X. Chapter 3 Platform usage guidelines Platform usage guidelines Spam, bots, and automation X performance benchmarking Public display of Posts Content redistribution Pay to engage Service authenticy X name, logo, and likeness Advertising on X Platform usage guidelines Spam, bots, and automation X performance benchmarking Public display of Posts Content redistribution Pay to engage Service authenticy X name, logo, and likeness Advertising on X Platform usage guidelines Have you taken care to review X’s policies and set up your API access the right way? Does your service follow X’s privacy and control guidelines? If you can answer yes to these two questions, then you are ready to start using the X API and X Content. X’s Platform Usage Guidelines provide the assistance needed to ensure that your use of X Content is compliant from day 1 throughout the lifecycle of your service. We suggest reviewing these rules on a regular basis to make sure that your integration is operating in a way that is safe and beneficial to people on X and the X platform as a whole. Spam, bots, and automation The use of the X API and developer products to create spam, or engage in any form of platform manipulation, is prohibited. You should review the X Rules on platform manipulation and spam , and ensure that your service does not, and does not enable people to, violate our policies. Services that perform write actions, including posting Posts, following accounts, or sending Direct Messages, must follow the Automation Rules . In particular, you should: Always get explicit consent before sending people automated replies or Direct Messages Immediately respect requests to opt-out of being contacted by you Never perform bulk, aggressive, or spammy actions, including bulk following Never post identical or substantially similar content across multiple accounts If you’re operating an API-based bot account you must clearly indicate what the account is and who is responsible for it. You should never mislead or confuse people about whether your account is or is not a bot. A good way to do this is by including a statement that the account is a bot in the profile bio. X performance benchmarking You may not use the X API to measure the availability, performance, functionality, or usage of X for benchmarking, competitive, or commercial purposes. For example, you should never use the X API to: Calculate aggregate X metrics, such as the total number of Monthly Actives (MAs) or Daily Actives (DAs) Calculate aggregate X Post metrics, such as the total number of Posts posted per day, or the number of account engagements Measure or analyze the responsiveness of X Measure or analyze spam or security on X, except as permitted below We support research that helps improve conversational health on X. You may not publicly disclose any research or findings concerning, or develop, create, or offer services using, the X API or X Content that measure, analyze, or attempt to identify behaviors or content which violate X policies without express written permission from X. DSA Researchers: If you need to contact X relating to access under Art. 40 of the Digital Services Act, please contact EU-Questions@X.com . If you wish to apply for researcher access, please submit an application . Public display of Posts You must maintain the integrity of all X Content that you display publicly or to people who use your service. If you don’t use X for Websites to display content, then you must use the X API to retrieve the most current version available for display. If displayed content ceases to be available through the X API, then you must remove it from your service as soon as reasonably possible, or within 24 hours after the receipt of a removal request from X, or the applicable X account owner, or as otherwise required by applicable law. There are specific rules you must follow if you display X Content offline. Follow the guidelines for using Posts in broadcast if you display Posts offline. If you embed or display Posts, you must contact us about your X API access if your site exceeds 10 million daily impressions. X reserves the right to require additional terms as a condition to your use of the X API. Additional restrictions on X for Websites developer use include: Embedded Posts and/or embedded timelines You must provide people with legally sufficient notice that fully discloses X’s collection and use of data about browsing activities on your website, including for interest-based advertising and personalization. You must also obtain legally sufficient consent from people for such collection and use You must provide legally sufficient instructions on how people can opt out of X’s interest-based advertising and personalization as described here X for Websites widgets You must ensure that people are provided with clear and comprehensive information about, and consent to, the storing and accessing of cookies or other information on their devices as described in X’s cookie use , where providing such information and obtaining such consent is required by law Services targeted to children under 13 Services targeted to children under 13 must opt out of tailoring X in any embedded Post and/or embedded timelines by setting the opt-out parameter to be ‘true’ as described here Content redistribution The best place to get X Content is directly from X. Consequently, we restrict the redistribution of X Content to third parties. If you provide X Content to third parties, including downloadable datasets or via an API, you may only distribute Post IDs, Direct Message IDs, and/or User IDs (except as described below). In total, you may not distribute more than 1,500,000 Post IDs to any entity (inclusive of multiple individuals associated with a single entity) within any 30 day period unless you have received written permission from X. In addition, developers may provide up to 500 public Posts Objects and/or User Objects to each person who uses your service on a daily basis if this is done via non-automated means (e.g., download of spreadsheets or PDFs). Academic researchers are permitted to distribute Post IDs and/or User IDs solely for the purposes of non-commercial research on behalf of an academic institution, and that has been approved by X in writing, or peer review or validation of such research. Only as many Post IDs or User IDs that is necessary for such research, and has been approved by X may be used. Any X Content provided to third parties remains subject to this Policy, and those third parties must agree to the X Terms of Service , Privacy Policy , Developer Agreement , and Developer Policy before receiving such downloads. You may not enable any entity to circumvent any other limitations or restrictions on the distribution of X Content as contained in this Policy , the Developer Agreement , or any other agreement with X. Note: This Section does not apply to researchers with X API access via Art. 40 of the EU Digital Services Act (2022) (“ DSA ”), who are instead subject to the procedures and restrictions set forth in the DSA and the Developer Agreement. Pay to engage Your service shouldn’t compensate people to take actions on X, as that results in inauthentic engagement that degrades the health of the platform. As you use the X API you may not sell or receive monetary or virtual compensation for any X actions. This includes, but is not limited to, Posts, follows, unfollows, reposts, likes, comments, and replies. Service authenticity You must clearly identify your service so that people can understand its source and purpose. Don’t use names, logos, or URLs that mask your service’s identity and features, or that falsely imply an affiliation with X or third parties. Note that creating applications for the purpose of selling names, or to prevent others from using names, is prohibited. You may not use any URL (including shortened URLs) for your service that directs people to: A site that is unrelated to your service A spam or malware site A site that encourages people to violate X policy X name, logo, and likeness You may only use and display the X name and logo to identify X as the source of X Content. You should never use the X name and logo, the X Official Partner Program badge, or any other similar marks or names in a manner that creates a false sense of endorsement, sponsorship, or association with X. The X Brand Resources contain detailed information to help you use the X brand in the right way. You may only use the X Verified Account badge and any other enhanced account categorization as it is reported to you by X through the API. This helps people know that the content your service displays is equivalent to that shown on X. Advertising on X There are restrictions regarding how and where you are allowed to advertise around X Content. To start, your advertisements can’t resemble or reasonably be confused by people as a Post. Other rules on advertising include: There must be a clear separation between X Content and your advertisements. You may not place any advertisements within the X timeline other than X Ads. X reserves the right to serve advertising via the X API. If you decide to serve X Ads once we start delivering them via the API, we will share a portion of advertising revenue with you in accordance with the relevant terms and conditions. You may not use X Content, or information obtained from the X API to target people with advertising outside of the X platform. Chapter 4 Rules for specific X services or features X login X Cards Definitions X login X Cards Definitions The following additional rules apply for any use of the X services or features listed below: X login You must present people with easy to find options to log into and out of X, for example via the OAuth protocol. The Sign in with X option must be displayed at least as prominently as any other sign-up or sign-in feature on your service. You must also provide people without a X account the opportunity to create one via X. Once someone on your service authenticates via Sign in with X you must clearly display their X identity. X identity includes the person’s current X @handle, avatar, and X logo. Any display of someone’s X followers on your service must clearly show that the relationship is associated with X. X Cards To ensure a quality experience you must develop your Card to render across all platforms where Cards are displayed. Additional rules that you must follow when using Cards include: You must mark your Post as ‘true’ for sensitive media if you plan to display such media within a Card You must use HTTPS for hosting all assets within your Card. Your Card should never generate active mixed content browser warnings Audio and video content should include stop or pause controls, and default to ‘sound off’ for videos that automatically play content You may not exceed or circumvent X’s limitations placed on any Cards, including the Card’s intended use. Additional restrictions on Cards use include: You may not place third-party sponsored content within Cards without X’s approval You may not attach monetary incentives (including virtual currency) within your Card or on X from your Card You may not include content or actions within your Card that are misleading or not contextually relevant, such as URLs and media You may only attach an App Card to a Post when someone is explicitly promoting or referring to the app in the Post Definitions X Content ‒ Posts, Post IDs, X end user profile information, and any other data and information made available to you through the X API or by any other means authorized by X, and any copies and derivative works thereof. Developer Site ‒ X’s developer site located at https://developer.x.com . Services ‒ Your websites, applications and other offerings that display X Content or otherwise use the Licensed Material as explicitly approved by X. 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X Applications ‒ X’s consumer facing products, services, applications, websites, web pages, platforms, and other offerings, including without limitation, those offered via https://x.com and X's mobile applications. Developer policy and terms Follow @XDevelopers Subscribe to developer news X platform X.com Status Accessibility Embed a post Privacy Center Transparency Center Download the X app Try Grok.com X Corp. About the company Company news Brand toolkit Jobs and internships Investors Help Help Center Using X X for creators Ads Help Center Managing your account Email Preference Center Rules and policies Contact us Developer resources Developer home Documentation Forums Communities Developer blog Engineering blog Developer terms Business resources Advertise X for business Resources and guides X for marketers Marketing insights Brand inspiration X Ads Academy © 2026 X Corp. Cookies Privacy Terms and conditions Did someone say … cookies? 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https://www.linkedin.com/legal/privacy-policy?trk=linkedin-tc_auth-button_privacy-policy | LinkedIn Privacy Policy Skip to main content User Agreement Summary of User Agreement Privacy Policy Professional Community Policies Cookie Policy Copyright Policy Regional Info EU Notice California Privacy Disclosure U.S. State Privacy Laws User Agreement Summary of User Agreement Privacy Policy Professional Community Policies Cookie Policy Copyright Policy Regional Info EU Notice California Privacy Disclosure U.S. State Privacy Laws Privacy Policy Effective November 3, 2025 Your Privacy Matters LinkedIn’s mission is to connect the world’s professionals to allow them to be more productive and successful. Central to this mission is our commitment to be transparent about the data we collect about you, how it is used and with whom it is shared. This Privacy Policy applies when you use our Services (described below). We offer our users choices about the data we collect, use and share as described in this Privacy Policy, Cookie Policy , Settings and our Help Center. Key Terms Choices Settings are available to Members of LinkedIn and Visitors are provided separate controls. Learn More . Table of Contents Data We Collect How We Use Your Data How We Share Information Your Choices and Obligations Other Important Information Introduction We are a social network and online platform for professionals. People use our Services to find and be found for business opportunities, to connect with others and find information. Our Privacy Policy applies to any Member or Visitor to our Services. Our registered users (“Members”) share their professional identities, engage with their network, exchange knowledge and professional insights, post and view relevant content, learn and develop skills, and find business and career opportunities. Content and data on some of our Services is viewable to non-Members (“Visitors”). We use the term “Designated Countries” to refer to countries in the European Union (EU), European Economic Area (EEA), and Switzerland. Members and Visitors located in the Designated Countries or the UK can review additional information in our European Regional Privacy Notice . Services This Privacy Policy, including our Cookie Policy applies to your use of our Services. This Privacy Policy applies to LinkedIn.com, LinkedIn-branded apps, and other LinkedIn-branded sites, apps, communications and services offered by LinkedIn (“Services”), including off-site Services, such as our ad services and the “Apply with LinkedIn” and “Share with LinkedIn” plugins, but excluding services that state that they are offered under a different privacy policy. For California residents, additional disclosures required by California law may be found in our California Privacy Disclosure . Data Controllers and Contracting Parties If you are in the “Designated Countries”, LinkedIn Ireland Unlimited Company (“LinkedIn Ireland”) will be the controller of your personal data provided to, or collected by or for, or processed in connection with our Services. If you are outside of the Designated Countries, LinkedIn Corporation will be the controller of (or business responsible for) your personal data provided to, or collected by or for, or processed in connection with our Services. As a Visitor or Member of our Services, the collection, use and sharing of your personal data is subject to this Privacy Policy and other documents referenced in this Privacy Policy, as well as updates. Change Changes to the Privacy Policy apply to your use of our Services after the “effective date.” LinkedIn (“we” or “us”) can modify this Privacy Policy, and if we make material changes to it, we will provide notice through our Services, or by other means, to provide you the opportunity to review the changes before they become effective. If you object to any changes, you may close your account. You acknowledge that your continued use of our Services after we publish or send a notice about our changes to this Privacy Policy means that the collection, use and sharing of your personal data is subject to the updated Privacy Policy, as of its effective date. 1. Data We Collect 1.1 Data You Provide To Us You provide data to create an account with us. Registration To create an account you need to provide data including your name, email address and/or mobile number, general location (e.g., city), and a password. If you register for a premium Service, you will need to provide payment (e.g., credit card) and billing information. You create your LinkedIn profile (a complete profile helps you get the most from our Services). Profile You have choices about the information on your profile, such as your education, work experience, skills, photo, city or area , endorsements, and optional verifications of information on your profile (such as verifications of your identity or workplace). You don’t have to provide additional information on your profile; however, profile information helps you to get more from our Services, including helping recruiters and business opportunities find you. It’s your choice whether to include sensitive information on your profile and to make that sensitive information public. Please do not post or add personal data to your profile that you would not want to be publicly available. You may give other data to us, such as by syncing your calendar. Posting and Uploading We collect personal data from you when you provide, post or upload it to our Services, such as when you fill out a form, (e.g., with demographic data or salary), respond to a survey, or submit a resume or fill out a job application on our Services. If you sync your calendars with our Services, we will collect your calendar meeting information to keep growing your network by suggesting connections for you and others, and by providing information about events, e.g. times, places, attendees and contacts. You don’t have to post or upload personal data; though if you don’t, it may limit your ability to grow and engage with your network over our Services. 1.2 Data From Others Others may post or write about you. Content and News You and others may post content that includes information about you (as part of articles, posts, comments, videos) on our Services. We also may collect public information about you, such as professional-related news and accomplishments, and make it available as part of our Services, including, as permitted by your settings, in notifications to others of mentions in the news . Others may sync their calendar with our Services Contact and Calendar Information We receive personal data (including contact information) about you when others import or sync their calendar with our Services, associate their contacts with Member profiles, scan and upload business cards, or send messages using our Services (including invites or connection requests). If you or others opt-in to sync email accounts with our Services, we will also collect “email header” information that we can associate with Member profiles. Customers and partners may provide data to us. Partners We receive personal data (e.g., your job title and work email address) about you when you use the services of our customers and partners, such as employers or prospective employers and applicant tracking systems providing us job application data. Related Companies and Other Services We receive data about you when you use some of the other services provided by us or our Affiliates , including Microsoft. For example, you may choose to send us information about your contacts in Microsoft apps and services, such as Outlook, for improved professional networking activities on our Services or we may receive information from Microsoft about your engagement with their sites and services. 1.3 Service Use We log your visits and use of our Services, including mobile apps. We log usage data when you visit or otherwise use our Services, including our sites, app and platform technology, such as when you view or click on content (e.g., learning video) or ads (on or off our sites and apps), perform a search, install or update one of our mobile apps, share articles or apply for jobs. We use log-ins, cookies, device information and internet protocol (“IP”) addresses to identify you and log your use. 1.4 Cookies and Similar Technologies We collect data through cookies and similar technologies. As further described in our Cookie Policy , we use cookies and similar technologies (e.g., pixels and ad tags) to collect data (e.g., device IDs) to recognize you and your device(s) on, off and across different services and devices where you have engaged with our Services. We also allow some others to use cookies as described in our Cookie Policy. If you are outside the Designated Countries, we also collect (or rely on others, including Microsoft, who collect) information about your device where you have not engaged with our Services (e.g., ad ID, IP address, operating system and browser information) so we can provide our Members with relevant ads and better understand their effectiveness. Learn more . You can opt out from our use of data from cookies and similar technologies that track your behavior on the sites of others for ad targeting and other ad-related purposes. For Visitors, the controls are here . 1.5 Your Device and Location We receive data through cookies and similar technologies When you visit or leave our Services (including some plugins and our cookies or similar technology on the sites of others), we receive the URL of both the site you came from and the one you go to and the time of your visit. We also get information about your network and device (e.g., IP address, proxy server, operating system, web browser and add-ons, device identifier and features, cookie IDs and/or ISP, or your mobile carrier). If you use our Services from a mobile device, that device will send us data about your location based on your phone settings. We will ask you to opt-in before we use GPS or other tools to identify your precise location. 1.6 Communications If you communicate through our Services, we learn about that. We collect information about you when you communicate with others through our Services (e.g., when you send, receive, or engage with messages, events, or connection requests, including our marketing communications). This may include information that indicates who you are communicating with and when. We also use automated systems to support and protect our site. For example, we use such systems to suggest possible responses to messages and to manage or block content that violates our User Agreement or Professional Community Policies . 1.7 Workplace and School Provided Information When your organization (e.g., employer or school) buys a premium Service for you to use, they give us data about you. Others buying our Services for your use, such as your employer or your school, provide us with personal data about you and your eligibility to use the Services that they purchase for use by their workers, students or alumni. For example, we will get contact information for “ LinkedIn Page ” (formerly Company Page) administrators and for authorizing users of our premium Services, such as our recruiting, sales or learning products. 1.8 Sites and Services of Others We get data when you visit sites that include our ads, cookies or plugins or when you log-in to others’ services with your LinkedIn account. We receive information about your visits and interaction with services provided by others when you log-in with LinkedIn or visit others’ services that include some of our plugins (such as “Apply with LinkedIn”) or our ads, cookies or similar technologies. 1.9 Other We are improving our Services, which means we get new data and create new ways to use data. Our Services are dynamic, and we often introduce new features, which may require the collection of new information. If we collect materially different personal data or materially change how we collect, use or share your data, we will notify you and may also modify this Privacy Policy. Key Terms Affiliates Affiliates are companies controlling, controlled by or under common control with us, including, for example, LinkedIn Ireland, LinkedIn Corporation, LinkedIn Singapore and Microsoft Corporation or any of its subsidiaries (e.g., GitHub, Inc.). 2. How We Use Your Data We use your data to provide, support, personalize and develop our Services. How we use your personal data will depend on which Services you use, how you use those Services and the choices you make in your settings . We may use your personal data to improve, develop, and provide products and Services, develop and train artificial intelligence (AI) models, develop, provide, and personalize our Services, and gain insights with the help of AI, automated systems, and inferences, so that our Services can be more relevant and useful to you and others. You can review LinkedIn's Responsible AI principles here and learn more about our approach to generative AI here . Learn more about the inferences we may make, including as to your age and gender and how we use them. 2.1 Services Our Services help you connect with others, find and be found for work and business opportunities, stay informed, get training and be more productive. We use your data to authorize access to our Services and honor your settings. Stay Connected Our Services allow you to stay in touch and up to date with colleagues, partners, clients, and other professional contacts. To do so, you can “connect” with the professionals who you choose, and who also wish to “connect” with you. Subject to your and their settings , when you connect with other Members, you will be able to search each others’ connections in order to exchange professional opportunities. We use data about you (such as your profile, profiles you have viewed or data provided through address book uploads or partner integrations) to help others find your profile, suggest connections for you and others (e.g. Members who share your contacts or job experiences) and enable you to invite others to become a Member and connect with you. You can also opt-in to allow us to use your precise location or proximity to others for certain tasks (e.g. to suggest other nearby Members for you to connect with, calculate the commute to a new job, or notify your connections that you are at a professional event). It is your choice whether to invite someone to our Services, send a connection request, or allow another Member to become your connection. When you invite someone to connect with you, your invitation will include your network and basic profile information (e.g., name, profile photo, job title, region). We will send invitation reminders to the person you invited. You can choose whether or not to share your own list of connections with your connections. Visitors have choices about how we use their data. Stay Informed Our Services allow you to stay informed about news, events and ideas regarding professional topics you care about, and from professionals you respect. Our Services also allow you to improve your professional skills, or learn new ones. We use the data we have about you (e.g., data you provide, data we collect from your engagement with our Services and inferences we make from the data we have about you), to personalize our Services for you, such as by recommending or ranking relevant content and conversations on our Services. We also use the data we have about you to suggest skills you could add to your profile and skills that you might need to pursue your next opportunity. So, if you let us know that you are interested in a new skill (e.g., by watching a learning video), we will use this information to personalize content in your feed, suggest that you follow certain Members on our site, or suggest related learning content to help you towards that new skill. We use your content, activity and other data, including your name and photo, to provide notices to your network and others. For example, subject to your settings , we may notify others that you have updated your profile, posted content, took a social action , used a feature, made new connections or were mentioned in the news . Career Our Services allow you to explore careers, evaluate educational opportunities, and seek out, and be found for, career opportunities. Your profile can be found by those looking to hire (for a job or a specific task ) or be hired by you. We will use your data to recommend jobs and show you and others relevant professional contacts (e.g., who work at a company, in an industry, function or location or have certain skills and connections). You can signal that you are interested in changing jobs and share information with recruiters. We will use your data to recommend jobs to you and you to recruiters. We may use automated systems to provide content and recommendations to help make our Services more relevant to our Members, Visitors and customers. Keeping your profile accurate and up-to-date may help you better connect to others and to opportunities through our Services. Productivity Our Services allow you to collaborate with colleagues, search for potential clients, customers, partners and others to do business with. Our Services allow you to communicate with other Members and schedule and prepare meetings with them. If your settings allow, we scan messages to provide “bots” or similar tools that facilitate tasks such as scheduling meetings, drafting responses, summarizing messages or recommending next steps. Learn more . 2.2 Premium Services Our premium Services help paying users to search for and contact Members through our Services, such as searching for and contacting job candidates, sales leads and co-workers, manage talent and promote content. We sell premium Services that provide our customers and subscribers with customized-search functionality and tools (including messaging and activity alerts) as part of our talent, marketing and sales solutions. Customers can export limited information from your profile, such as name, headline, current company, current title, and general location (e.g., Dublin), such as to manage sales leads or talent, unless you opt-out . We do not provide contact information to customers as part of these premium Services without your consent. Premium Services customers can store information they have about you in our premium Services, such as a resume or contact information or sales history. The data stored about you by these customers is subject to the policies of those customers. Other enterprise Services and features that use your data include TeamLink and LinkedIn Pages (e.g., content analytics and followers). 2.3 Communications We contact you and enable communications between Members. We offer settings to control what messages you receive and how often you receive some types of messages. We will contact you through email, mobile phone, notices posted on our websites or apps, messages to your LinkedIn inbox, and other ways through our Services, including text messages and push notifications. We will send you messages about the availability of our Services, security, or other service-related issues. We also send messages about how to use our Services, network updates, reminders, job suggestions and promotional messages from us and our partners. You may change your communication preferences at any time. Please be aware that you cannot opt out of receiving service messages from us, including security and legal notices. We also enable communications between you and others through our Services, including for example invitations , InMail , groups and messages between connections. 2.4 Advertising We serve you tailored ads both on and off our Services. We offer you choices regarding personalized ads, but you cannot opt-out of seeing non-personalized ads. We target (and measure the performance of) ads to Members, Visitors and others both on and off our Services directly or through a variety of partners, using the following data, whether separately or combined: Data collected by advertising technologies on and off our Services using pixels, ad tags (e.g., when an advertiser installs a LinkedIn tag on their website), cookies, and other device identifiers; Member-provided information (e.g., profile, contact information, title and industry); Data from your use of our Services (e.g., search history, feed, content you read, who you follow or is following you, connections, groups participation, page visits, videos you watch, clicking on an ad, etc.), including as described in Section 1.3; Information from advertising partners , vendors and publishers ; and Information inferred from data described above (e.g., using job titles from a profile to infer industry, seniority, and compensation bracket; using graduation dates to infer age or using first names or pronoun usage to infer gender; using your feed activity to infer your interests; or using device data to recognize you as a Member). Learn more about the inferences we make and how they may be used for advertising. Learn more about the ad technologies we use and our advertising services and partners. You can learn more about our compliance with laws in the Designated Countries or the UK in our European Regional Privacy Notice . We will show you ads called sponsored content which look similar to non-sponsored content, except that they are labeled as advertising (e.g., as “ad” or “sponsored”). If you take a social action (such as like, comment or share) on these ads, your action is associated with your name and viewable by others, including the advertiser. Subject to your settings , if you take a social action on the LinkedIn Services, that action may be mentioned with related ads. For example, when you like a company we may include your name and photo when their sponsored content is shown. Ad Choices You have choices regarding our uses of certain categories of data to show you more relevant ads. Member settings can be found here . For Visitors, the setting is here . Info to Ad Providers We do not share your personal data with any non-Affiliated third-party advertisers or ad networks except for: (i) hashed IDs or device identifiers (to the extent they are personal data in some countries); (ii) with your separate permission (e.g., in a lead generation form) or (iii) data already visible to any users of the Services (e.g., profile). However, if you view or click on an ad on or off our Services, the ad provider will get a signal that someone visited the page that displayed the ad, and they may, through the use of mechanisms such as cookies, determine it is you. Advertising partners can associate personal data collected by the advertiser directly from you with hashed IDs or device identifiers received from us. We seek to contractually require such advertising partners to obtain your explicit, opt-in consent before doing so where legally required, and in such instances, we take steps to ensure that consent has been provided before processing data from them. 2.5 Marketing We promote our Services to you and others. In addition to advertising our Services, we use Members’ data and content for invitations and communications promoting membership and network growth, engagement and our Services, such as by showing your connections that you have used a feature on our Services. 2.6 Developing Services and Research We develop our Services and conduct research Service Development We use data, including public feedback, to conduct research and development for our Services in order to provide you and others with a better, more intuitive and personalized experience, drive membership growth and engagement on our Services, and help connect professionals to each other and to economic opportunity. Other Research We seek to create economic opportunity for Members of the global workforce and to help them be more productive and successful. We use the personal data available to us to research social, economic and workplace trends, such as jobs availability and skills needed for these jobs and policies that help bridge the gap in various industries and geographic areas. In some cases, we work with trusted third parties to perform this research, under controls that are designed to protect your privacy. We may also make public data available to researchers to enable assessment of the safety and legal compliance of our Services. We publish or allow others to publish economic insights, presented as aggregated data rather than personal data. Surveys Polls and surveys are conducted by us and others through our Services. You are not obligated to respond to polls or surveys, and you have choices about the information you provide. You may opt-out of survey invitations. 2.7 Customer Support We use data to help you and fix problems. We use data (which can include your communications) to investigate, respond to and resolve complaints and for Service issues (e.g., bugs). 2.8 Insights That Do Not Identify You We use data to generate insights that do not identify you. We use your data to perform analytics to produce and share insights that do not identify you. For example, we may use your data to generate statistics about our Members, their profession or industry, to calculate ad impressions served or clicked on (e.g., for basic business reporting to support billing and budget management or, subject to your settings , for reports to advertisers who may use them to inform their advertising campaigns), to show Members' information about engagement with a post or LinkedIn Page , to publish visitor demographics for a Service or create demographic workforce insights, or to understand usage of our services. 2.9 Security and Investigations We use data for security, fraud prevention and investigations. We and our Affiliates, including Microsoft, may use your data (including your communications) for security purposes or to prevent or investigate possible fraud or other violations of the law, our User Agreement and/or attempts to harm our Members, Visitors, company, Affiliates, or others. Key Terms Social Action E.g. like, comment, follow, share Partners Partners include ad networks, exchanges and others 3. How We Share Information 3.1 Our Services Any data that you include on your profile and any content you post or social action (e.g., likes, follows, comments, shares) you take on our Services will be seen by others, consistent with your settings. Profile Your profile is fully visible to all Members and customers of our Services. Subject to your settings , it can also be visible to others on or off of our Services (e.g., Visitors to our Services or users of third-party search tools). As detailed in our Help Center , your settings, degree of connection with the viewing Member, the subscriptions they may have, their usage of our Services , access channels and search types (e.g., by name or by keyword) impact the availability of your profile and whether they can view certain fields in your profile. Posts, Likes, Follows, Comments, Messages Our Services allow viewing and sharing information including through posts, likes, follows and comments. When you share an article or a post (e.g., an update, image, video or article) publicly it can be viewed by everyone and re-shared anywhere (subject to your settings ). Members, Visitors and others will be able to find and see your publicly-shared content, including your name (and photo if you have provided one). In a group , posts are visible to others according to group type. For example, posts in private groups are visible to others in the group and posts in public groups are visible publicly. Your membership in groups is public and part of your profile, but you can change visibility in your settings . Any information you share through companies’ or other organizations’ pages on our Services will be viewable by those organizations and others who view those pages' content. When you follow a person or organization, you are visible to others and that “page owner” as a follower. We let senders know when you act on their message, subject to your settings where applicable. Subject to your settings , we let a Member know when you view their profile. We also give you choices about letting organizations know when you've viewed their Page. When you like or re-share or comment on another’s content (including ads), others will be able to view these “social actions” and associate it with you (e.g., your name, profile and photo if you provided it). Your employer can see how you use Services they provided for your work (e.g. as a recruiter or sales agent) and related information. We will not show them your job searches or personal messages. Enterprise Accounts Your employer may offer you access to our enterprise Services such as Recruiter, Sales Navigator, LinkedIn Learning or our advertising Campaign Manager. Your employer can review and manage your use of such enterprise Services. Depending on the enterprise Service, before you use such Service, we will ask for permission to share with your employer relevant data from your profile or use of our non-enterprise Services. For example, users of Sales Navigator will be asked to share their “social selling index”, a score calculated in part based on their personal account activity. We understand that certain activities such as job hunting and personal messages are sensitive, and so we do not share those with your employer unless you choose to share it with them through our Services (for example, by applying for a new position in the same company or mentioning your job hunting in a message to a co-worker through our Services). Subject to your settings , when you use workplace tools and services (e.g., interactive employee directory tools) certain of your data may also be made available to your employer or be connected with information we receive from your employer to enable these tools and services. 3.2 Communication Archival Regulated Members may need to store communications outside of our Service. Some Members (or their employers) need, for legal or professional compliance, to archive their communications and social media activity, and will use services of others to provide these archival services. We enable archiving of messages by and to those Members outside of our Services. For example, a financial advisor needs to archive communications with her clients through our Services in order to maintain her professional financial advisor license. 3.3 Others’ Services You may link your account with others’ services so that they can look up your contacts’ profiles, post your shares on such platforms, or enable you to start conversations with your connections on such platforms. Excerpts from your profile will also appear on the services of others. Subject to your settings , other services may look up your profile. When you opt to link your account with other services, personal data (e.g., your name, title, and company) will become available to them. The sharing and use of that personal data will be described in, or linked to, a consent screen when you opt to link the accounts. For example, you may link your Twitter or WeChat account to share content from our Services into these other services, or your email provider may give you the option to upload your LinkedIn contacts into its own service. Third-party services have their own privacy policies, and you may be giving them permission to use your data in ways we would not. You may revoke the link with such accounts. The information you make available to others in our Services (e.g., information from your profile, your posts, your engagement with the posts, or message to Pages) may be available to them on other services . For example, search tools, mail and calendar applications, or talent and lead managers may show a user limited profile data (subject to your settings ), and social media management tools or other platforms may display your posts. The information retained on these services may not reflect updates you make on LinkedIn. 3.4 Related Services We share your data across our different Services and LinkedIn affiliated entities. We will share your personal data with our Affiliates to provide and develop our Services. For example, we may refer a query to Bing in some instances, such as where you'd benefit from a more up to date response in a chat experience. Subject to our European Regional Privacy Notice , we may also share with our Affiliates, including Microsoft, your (1) publicly-shared content (such as your public LinkedIn posts) to provide or develop their services and (2) personal data to improve, provide or develop their advertising services. Where allowed , we may combine information internally across the different Services covered by this Privacy Policy to help our Services be more relevant and useful to you and others. For example, we may personalize your feed or job recommendations based on your learning history. 3.5 Service Providers We may use others to help us with our Services. We use others to help us provide our Services (e.g., maintenance, analysis, audit, payments, fraud detection, customer support, marketing and development). They will have access to your information (e.g., the contents of a customer support request) as reasonably necessary to perform these tasks on our behalf and are obligated not to disclose or use it for other purposes. If you purchase a Service from us, we may use a payments service provider who may separately collect information about you (e.g., for fraud prevention or to comply with legal obligations). 3.6 Legal Disclosures We may need to share your data when we believe it’s required by law or to help protect the rights and safety of you, us or others. It is possible that we will need to disclose information about you when required by law, subpoena, or other legal process or if we have a good faith belief that disclosure is reasonably necessary to (1) investigate, prevent or take action regarding suspected or actual illegal activities or to assist government enforcement agencies; (2) enforce our agreements with you; (3) investigate and defend ourselves against any third-party claims or allegations; (4) protect the security or integrity of our Services or the products or services of our Affiliates (such as by sharing with companies facing similar threats); or (5) exercise or protect the rights and safety of LinkedIn, our Members, personnel or others. We attempt to notify Members about legal demands for their personal data when appropriate in our judgment, unless prohibited by law or court order or when the request is an emergency. We may dispute such demands when we believe, in our discretion, that the requests are overbroad, vague or lack proper authority, but we do not promise to challenge every demand. To learn more see our Data Request Guidelines and Transparency Report . 3.7 Change in Control or Sale We may share your data when our business is sold to others, but it must continue to be used in accordance with this Privacy Policy. We can also share your personal data as part of a sale, merger or change in control, or in preparation for any of these events. Any other entity which buys us or part of our business will have the right to continue to use your data, but only in the manner set out in this Privacy Policy unless you agree otherwise. 4. Your Choices & Obligations 4.1 Data Retention We keep most of your personal data for as long as your account is open. We generally retain your personal data as long as you keep your account open or as needed to provide you Services. This includes data you or others provided to us and data generated or inferred from your use of our Services. Even if you only use our Services when looking for a new job every few years, we will retain your information and keep your profile open, unless you close your account. In some cases we choose to retain certain information (e.g., insights about Services use) in a depersonalized or aggregated form. 4.2 Rights to Access and Control Your Personal Data You can access or delete your personal data. You have many choices about how your data is collected, used and shared. We provide many choices about the collection, use and sharing of your data, from deleting or correcting data you include in your profile and controlling the visibility of your posts to advertising opt-outs and communication controls. We offer you settings to control and manage the personal data we have about you. For personal data that we have about you, you can: Delete Data : You can ask us to erase or delete all or some of your personal data (e.g., if it is no longer necessary to provide Services to you). Change or Correct Data : You can edit some of your personal data through your account. You can also ask us to change, update or fix your data in certain cases, particularly if it’s inaccurate. Object to, or Limit or Restrict, Use of Data : You can ask us to stop using all or some of your personal data (e.g., if we have no legal right to keep using it) or to limit our use of it (e.g., if your personal data is inaccurate or unlawfully held). Right to Access and/or Take Your Data : You can ask us for a copy of your personal data and can ask for a copy of personal data you provided in machine readable form. Visitors can learn more about how to make these requests here . You may also contact us using the contact information below, and we will consider your request in accordance with applicable laws. Residents in the Designated Countries and the UK , and other regions , may have additional rights under their laws. 4.3 Account Closure We keep some of your data even after you close your account. If you choose to close your LinkedIn account, your personal data will generally stop being visible to others on our Services within 24 hours. We generally delete closed account information within 30 days of account closure, except as noted below. We retain your personal data even after you have closed your account if reasonably necessary to comply with our legal obligations (including law enforcement requests), meet regulatory requirements, resolve disputes, maintain security, prevent fraud and abuse (e.g., if we have restricted your account for breach of our Professional Community Policies ), enforce our User Agreement, or fulfill your request to "unsubscribe" from further messages from us. We will retain de-personalized information after your account has been closed. Information you have shared with others (e.g., through InMail, updates or group posts) will remain visible after you close your account or delete the information from your own profile or mailbox, and we do not control data that other Members have copied out of our Services. Groups content and ratings or review content associated with closed accounts will show an unknown user as the source. Your profile may continue to be displayed in the services of others (e.g., search tools) until they refresh their cache. 5. Other Important Information 5.1. Security We monitor for and try to prevent security breaches. Please use the security features available through our Services. We implement security safeguards designed to protect your data, such as HTTPS. We regularly monitor our systems for possible vulnerabilities and attacks. However, we cannot warrant the security of any information that you send us. There is no guarantee that data may not be accessed, disclosed, altered, or destroyed by breach of any of our physical, technical, or managerial safeguards. 5.2. Cross-Border Data Transfers We store and use your data outside your country. We process data both inside and outside of the United States and rely on legally-provided mechanisms to lawfully transfer data across borders. Learn more . Countries where we process data may have laws which are different from, and potentially not as protective as, the laws of your own country. 5.3 Lawful Bases for Processing We have lawful bases to collect, use and share data about you. You have choices about our use of your data. At any time, you can withdraw consent you have provided by going to settings. We will only collect and process personal data about you where we have lawful bases. Lawful bases include consent (where you have given consent), contract (where processing is necessary for the performance of a contract with you (e.g., to deliver the LinkedIn Services you have requested) and “legitimate interests.” Learn more . Where we rely on your consent to process personal data, you have the right to withdraw or decline your consent at any time and where we rely on legitimate interests, you have the right to object. Learn More . If you have any questions about the lawful bases upon which we collect and use your personal data, please contact our Data Protection Officer here . If you're located in one of the Designated Countries or the UK, you can learn more about our lawful bases for processing in our European Regional Privacy Notice . 5.4. Direct Marketing and Do Not Track Signals Our statements regarding direct marketing and “do not track” signals. We currently do not share personal data with third parties for their direct marketing purposes without your permission. Learn more about this and about our response to “do not track” signals. 5.5. Contact Information You can contact us or use other options to resolve any complaints. If you have questions or complaints regarding this Policy, please first contact LinkedIn online. You can also reach us by physical mail . If contacting us does not resolve your complaint, you have more options . Residents in the Designated Countries and other regions may also have the right to contact our Data Protection Officer here . If this does not resolve your complaint, Residents in the Designated Countries and other regions may have more options under their laws. Key Terms Consent Where we process data based on consent, we will ask for your explicit consent. You may withdraw your consent at any time, but that will not affect the lawfulness of the processing of your personal data prior to such withdrawal. Where we rely on contract, we will ask that you agree to the processing of personal data that is necessary for entering into or performance of your contract with us. We will rely on legitimate interests as a basis for data processing where the processing of your data is not overridden by your interests or fundamental rights and freedoms. 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https://gdpr.x.com/en/controller-to-controller-transfers.html | Controller-to-Controller Transfers GDPR Back FAQ Processor DPA Controller-to-Controller Transfers Our service partners Conversion API DPA Controller-to-Controller (Inbound) X Controller-to-Controller (Outbound) Data Protection Addendum 1. Scope, Definitions and Applicable Law . This Data Protection Addendum (“ DPA ”), to the extent it is expressly incorporated by reference into an agreement between you (“ you ”) and Twitter, forms part of such agreement and all further agreements executed under it with respect to the subject matter thereof (collectively the “ Agreement ”) and applies to the extent that you receive, access or process Twitter Data (defined below) from or on behalf of Twitter in connection with the Agreement. For purposes of this DPA, “ Twitter Data ” means any personal data, or personal information, including but not limited to customer, applicant, employee or user information or data, that you receive, access or process from or on behalf of Twitter pursuant to the Agreement, and “ Twitter European Data ” means Twitter Data that is controlled by X Internet Unlimited Company (“ TIUC ”) or other Twitter affiliates or subsidiaries located in the European Economic Area (“ EEA ”), Switzerland, or United Kingdom (“ UK ”) (“ European Affiliate(s) ”). For example, TIUC controls the personal data of users of its services, as described in the Twitter Privacy Policy at http://www.twitter.com/privacy, while TIUC and European Affiliates control the personal data of (a) individuals who are employed by or have a working relationship with TIUC or European Affiliates, and (b) individual contacts of third parties with whom TIUC or European Affiliates have or may develop a commercial relationship. Terms and expressions used herein that are not otherwise defined, including, without limitation, “personal information,” “personal data,” “controller,” “processing,” and “processor,” and their respective derivative terms, shall have the meanings set forth in the privacy and data protection laws, regulations, and decisions applicable to a party to this DPA (“ Applicable Data Protection Law ”), which may include, without limitation, the California Consumer Privacy Act of 2018, Cal. Civ. Code § 1798.100 et seq. and its implementing regulations, the Brazilian General Data Protection Law of 2018, Brazil Federal Law 13.709/2018, Lei Geral de Proteção de Dados, the Japanese Act on the Protection of Personal Information, Act No. 57 of 2003 and the EU General Data Protection Regulation (2016/679) (the “ GDPR ”), in each case as amended, superseded or replaced from time to time. 2. Roles and Restrictions . Each party to this DPA: (a) is an independent controller of Twitter Data under Applicable Data Protection Law; (b) will individually determine the purposes and means of its processing of Twitter Data; and (c) will comply with the obligations applicable to it under Applicable Data Protection Law with respect to the processing of Twitter Data. Nothing in this Section 2 shall modify any restrictions applicable to either party’s rights to use or otherwise process Twitter Data under the Agreement, and you will process Twitter Data solely and exclusively for the purposes specified in the Agreement. 3. Protection of Twitter Data . To the extent not otherwise provided for in the Agreement: (a) you will cooperate with Twitter on and implement appropriate organizational, technical and security measures (including the measures set out in the Agreement) to protect Twitter Data against the accidental, unlawful or unauthorized access to or use, transfer, destruction, loss, alteration, commingling, disclosure or processing of Twitter Data and ensure a level of security appropriate to the risks presented by the processing of Twitter Data and the nature of such Twitter Data, and these measures shall remain in place throughout the duration of your processing of Twitter Data as specified in the Agreement or until you cease to process Twitter Data (whichever is later); (b) you will treat Twitter Data with strict confidence and take all reasonable steps to ensure that persons you employ and/or persons engaged at your place(s) of business who will process Twitter Data are aware of and comply with this DPA and are under a duty of confidentiality with respect to Twitter Data no less restrictive than the duties set forth herein; (c) you will not transfer Twitter Data to third parties except under written contracts that guarantee at least a level of data protection and information security as provided for herein, and you will remain fully liable to Twitter for any third party’s failure to so comply; and (d) you will delete and securely erase all Twitter Data (including any derivatives thereof) within the earlier of 10 days of Twitter’s written request and when you no longer have a legitimate business need to retain it and in no event longer than the retention period required by applicable law. 4. Notice and Cooperation . You will promptly give written notice to and fully cooperate with Twitter regarding (a) any breach of security or unauthorized access to the Twitter Data that you detect or become aware of, and (b) any complaint, inquiry, or request from an individual or government or regulatory agency regarding Twitter Data, unless such notice is prohibited by law. In such cases, without limiting the generality of the foregoing, you will refrain from notifying or responding to any data subject, government or regulatory agency, or other third party, for or on behalf of Twitter or any Twitter personnel, unless Twitter specifically requests in writing that you do so, except as and when otherwise required by Applicable Data Protection Law. You agree and acknowledge that if Twitter receives a request from a government or regulatory agency, Twitter may share the terms of this DPA, the Agreement, and other information you provide to demonstrate compliance with this DPA or Applicable Data Protection Law. 5. Cross-Border Transfers of Twitter Data . a. Transfers of Non-European Data . If you intend to transfer Twitter Data, other than Twitter European Data, cross-border and Applicable Data Protection Law requires certain measures to be implemented prior to such transfer, then you agree to implement such measures as shall be mutually agreed. b. Transfers of European Data . If you transfer or process Twitter European Data outside the EEA, Switzerland, or UK in a jurisdiction which is not subject to an adequacy determination by the European Commission, the UK or Swiss authorities (as applicable), then the Standard Contractual Clauses (“ SCCs ”) annexed to the European Commission's Implementing Decision 2021/914 of 4 June 2021 are hereby incorporated by reference and form an integral part of the Agreement in accordance with this Section 5 of this DPA. Where Twitter is the controller of such Twitter Data, it enters the SCCs on its own behalf and where the ultimate controller is a third party (including, where applicable, TIUC, or other European Affiliates), Twitter enters the SCCs on behalf of such third party. c. EEA Transfers . To the extent that Twitter European Data is subject to the GDPR, the SCCs apply as follows: i. the ‘data exporter’ is Twitter and you are the ‘data importer’; ii. the Module One terms apply; iii. in Clause 7, the optional docking clause applies; iv. in Clause 11, the optional language does not apply; v. in Clause 17, Option 1 applies, and the SCCs are governed by Irish law vi. in Clause 18(b), disputes will be resolved before the courts of Ireland; vii. in Annex I.A and Annex I.B, the details of the parties and the transfer are set out in the Agreement; viii. in Annex I.C and Clause 13(a), the Irish Data Protection Commissioner (“ DPC ”) will act as competent supervisory authority; and ix. in Annex II, the description of the technical and organizational security measures is set out as part of the Agreement. d. Swiss Transfers . To the extent the Twitter European Data is subject to the Applicable Data Protection Law of Switzerland, the SCCs apply as set out in Section 5(c) of this DPA with the following modifications: i. references to ‘Regulation (EU) 2016/679’ are interpreted as references to the Swiss Federal Data Protection Act of 19 June 1992 or any successor thereof (" Swiss DPA ”); ii. references to specific articles of ‘Regulation (EU) 2016/679’ are replaced with the equivalent article or section of the Swiss DPA; iii. references to ‘EU’, ‘Union’ and ‘Member State’ are replaced with ‘Switzerland’; iv. Clause 13(a) and Part C of Annex 2 is not used, and the ‘competent supervisory authority’ is the Swiss Federal Data Protection Information Commissioner (“ FDPIC ”) or, if the transfer is subject to both the Swiss DPA and the GDPR, the FDPIC (insofar as the transfer is governed by the Swiss DPA) or the DPC (insofar as the transfer is governed by the GDPR); v. references to the ‘competent supervisory authority’ and ‘competent courts’ are replaced with the ‘FDPIC’ and ‘applicable courts of Switzerland’; vi. in Clause 17, the SCCs are governed by the laws of Switzerland; vii. in Clause 18(b), disputes will be resolved before the competent Swiss courts; and viii. the SCCs also protect the data of legal entities until entry into force of the revised Swiss DPA. e. UK Transfers . To the extent the Twitter European Data is subject to Applicable Data Protection Law of the UK, the SCCs apply as amended by Part 2 of the UK Addendum to the SCCs issued by the Information Commissioner under section 119A(1) of the Data Protection Act 2018 (“ UK Addendum ”), and Part 1 of the UK Addendum is deemed completed as follows: i. in Table 1, the details of the parties are set out in the Agreement; ii. in Table 2, the selected modules and clauses are set out in Section 5(c) of this DPA; iii. in Table 3, the appendix information is set out in the Agreement; and iv. in Table 4, the ‘Exporter’ is elected. f. Alternative Transfer Mechanism . If Twitter adopts an alternative data transfer mechanism to the mechanisms described in this DPA, including any new version of or successor to the SCCs or the Privacy Shield (“ Alternative Transfer Mechanism ”), then such Alternative Transfer Mechanism shall apply automatically instead of the mechanisms described in this DPA, and you shall fully co-operate with Twitter to sign an amendment to this DPA and/or take such other action as may be necessary to give legal effect to such Alternative Transfer Mechanism. Further, to the extent that you and/or Twitter have adopted and certified compliance with such Alternative Transfer Mechanism, you represent and warrant that you will comply with all legal principles and terms of such Alternative Transfer Mechanism. In addition, in the event that a court of competent jurisdiction or supervisory authority orders (for whatever reason) that the measures described in this DPA cannot be relied on to lawfully transfer Twitter Data cross-border, then you shall fully co-operate with Twitter to take such action as may be necessary to remedy such non-compliance. 6. Order of Precedence . In the event of a conflict between the terms of this DPA, the SCCs, and those of the Agreement, the terms shall apply in the following order of precedence: the (i) SCCs, (ii) the DPA, and (iii) terms of the Agreement. Except as modified herein, all terms and conditions of the Agreement you have with Twitter shall remain in full force and effect. 7. Survival . The obligations under this DPA shall survive so long as you process Twitter Data, irrespective of whether the Agreement has been terminated or expired. View previous terms . 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https://dev.to/adventures_in_ml/model-serving-at-databricks-ml-109#main-content | Model Serving at Databricks - ML 109 - DEV Community Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. DUMB DEV Community Follow Memes and software development shitposting Design Community Follow Web design, graphic design and everything in-between Security Forem Follow Your central hub for all things security. From ethical hacking and CTFs to GRC and career development, for beginners and pros alike Golf Forem Follow A community of golfers and golfing enthusiasts Crypto Forem Follow A collaborative community for all things Crypto—from Bitcoin to protocol development and DeFi to NFTs and market analysis. Parenting Follow A place for parents to the share the joys, challenges, and wisdom that come from raising kids. We're here for them and for each other. Forem Core Follow Discussing the core forem open source software project — features, bugs, performance, self-hosting. Maker Forem Follow A community for makers, hobbyists, and professionals to discuss Arduino, Raspberry Pi, 3D printing, and much more. HMPL.js Forem Follow For developers using HMPL.js to build fast, lightweight web apps. A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account DEV Community Close Adventures in Machine Learning Follow Model Serving at Databricks - ML 109 Mar 27 '23 play Today we deep dive into the mind of two brilliant Databricks software engineers. Their primary project was building the model serving feature, but expect to learn about ML side projects, traits of successful software engineers, and much more! Sponsors Chuck's Resume Template Developer Book Club starting Become a Top 1% Dev with a Top End Devs Membership Social LinkedIn: Ankit Mathur LinkedIn: Sue Ann Hong Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Episode source Personal Trusted User Create template Templates let you quickly answer FAQs or store snippets for re-use. Submit Preview Dismiss Your browser does not support the audio element. 1x initializing... × 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV DEV Community — A space to discuss and keep up software development and manage your software career Home DEV++ Podcasts Videos DEV Education Tracks DEV Challenges DEV Help Advertise on DEV DEV Showcase About Contact Free Postgres Database Software comparisons Forem Shop Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails . DEV Community © 2016 - 2026. We're a place where coders share, stay up-to-date and grow their careers. Log in Create account | 2026-01-13T08:48:28 |
https://dev.to/all-the-code/4-the-book-and-an-ama#main-content | 4. The Book and an AMA - DEV Community Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. DUMB DEV Community Follow Memes and software development shitposting Design Community Follow Web design, graphic design and everything in-between Security Forem Follow Your central hub for all things security. From ethical hacking and CTFs to GRC and career development, for beginners and pros alike Golf Forem Follow A community of golfers and golfing enthusiasts Crypto Forem Follow A collaborative community for all things Crypto—from Bitcoin to protocol development and DeFi to NFTs and market analysis. Parenting Follow A place for parents to the share the joys, challenges, and wisdom that come from raising kids. We're here for them and for each other. Forem Core Follow Discussing the core forem open source software project — features, bugs, performance, self-hosting. Maker Forem Follow A community for makers, hobbyists, and professionals to discuss Arduino, Raspberry Pi, 3D printing, and much more. HMPL.js Forem Follow For developers using HMPL.js to build fast, lightweight web apps. A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account DEV Community Close All the Code Follow 4. The Book and an AMA Aug 2 '21 play This week I focus on the successful launch of the Career Switch To Coding book on Product Hunt and 4 fantastic questions from followers of @allthecode on Instagram. The questions were: Congrats on the book launch! Any tips for anyone interested in writing and launching a book? From @pau.codes What’s your favourite language to work with? @takuyamats When should you start to apply? @developeradam What kind of responsibilities are junior iOS developers given? Episode source Personal Trusted User Create template Templates let you quickly answer FAQs or store snippets for re-use. Submit Preview Dismiss Your browser does not support the audio element. 1x initializing... × 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV DEV Community — A space to discuss and keep up software development and manage your software career Home DEV++ Podcasts Videos DEV Education Tracks DEV Challenges DEV Help Advertise on DEV DEV Showcase About Contact Free Postgres Database Software comparisons Forem Shop Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails . DEV Community © 2016 - 2026. We're a place where coders share, stay up-to-date and grow their careers. Log in Create account | 2026-01-13T08:48:28 |
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A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account DEV Community Close Follow Organization actions AWS Community Builders Build On! The AWS Community Builders DEV organization is the unofficially official place for our community members to create and share content for other AWS builders. Joined Joined on Jul 30, 2020 External link icon Meet the team See All Members Post 7927 posts published Member 1910 members From Fragmented Monitoring to Unified Observability Çağrı Bayram Çağrı Bayram Çağrı Bayram Follow Jan 13 From Fragmented Monitoring to Unified Observability # cncf # aws # ecs # opentelemetry Comments Add Comment 11 min read AWS Graviton migration with Kiro CLI and the Arm MCP server Jason Andrews Jason Andrews Jason Andrews Follow Jan 12 AWS Graviton migration with Kiro CLI and the Arm MCP server # kiro # aws # arm # mcp Comments Add Comment 8 min read Letting Kiro Drive — Autopilot and Hooks Peter McAree Peter McAree Peter McAree Follow Jan 12 Letting Kiro Drive — Autopilot and Hooks # ai # software # agents # javascript Comments Add Comment 6 min read Quiverstone: The Single Pane of Glass for AWS Multi-Account Chaos Ross Wickman Ross Wickman Ross Wickman Follow Jan 12 Quiverstone: The Single Pane of Glass for AWS Multi-Account Chaos # management # governance # saas # tooling Comments Add Comment 3 min read 🩺 How I Troubleshoot an EC2 Instance in the Real World (Using Instance Diagnostics) Venkata Pavan Vishnu Rachapudi Venkata Pavan Vishnu Rachapudi Venkata Pavan Vishnu Rachapudi Follow Jan 12 🩺 How I Troubleshoot an EC2 Instance in the Real World (Using Instance Diagnostics) # aws # ec2 # linux # cloud 4 reactions Comments Add Comment 5 min read Explain Basic AI Concepts And Terminologies Ntombizakhona Mabaso Ntombizakhona Mabaso Ntombizakhona Mabaso Follow Jan 12 Explain Basic AI Concepts And Terminologies # aws # ai # aipractitioner # cloud 1 reaction Comments Add Comment 5 min read What I Learned Using Specification-Driven Development with Kiro Firdaws Aboulaye Firdaws Aboulaye Firdaws Aboulaye Follow Jan 12 What I Learned Using Specification-Driven Development with Kiro # aws # serverless # kiro 5 reactions Comments Add Comment 5 min read 5 Practical Tips for the Terraform Authoring and Operations Professional Exam Anthony Wat Anthony Wat Anthony Wat Follow Jan 12 5 Practical Tips for the Terraform Authoring and Operations Professional Exam # terraform # aws Comments Add Comment 8 min read loading... 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV DEV Community — A space to discuss and keep up software development and manage your software career Home DEV++ Podcasts Videos DEV Education Tracks DEV Challenges DEV Help Advertise on DEV DEV Showcase About Contact Free Postgres Database Software comparisons Forem Shop Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. 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A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account DEV Community Close Programming Follow Hide The magic behind computers. 💻 🪄 Create Post Older #programming posts 68 69 70 71 72 73 74 75 76 Posts Left menu 👋 Sign in for the ability to sort posts by relevant , latest , or top . Right menu How to convert PDF to SVG in C# (Tutorial) IDRSolutions IDRSolutions IDRSolutions Follow Dec 19 '25 How to convert PDF to SVG in C# (Tutorial) # pdf # programming # csharp Comments Add Comment 2 min read I built a website security scanner (because I kept shipping insecure projects) Benjamin Frank Benjamin Frank Benjamin Frank Follow Dec 18 '25 I built a website security scanner (because I kept shipping insecure projects) # webdev # security # cybersecurity # programming Comments Add Comment 2 min read LaunchSuite: From Idea to Revenue-Ready SaaS in Days, Not Months Amit Kumar Amit Kumar Amit Kumar Follow Dec 19 '25 LaunchSuite: From Idea to Revenue-Ready SaaS in Days, Not Months # webdev # programming # ai # saas Comments Add Comment 5 min read I Patched CSS Grid into React Native — Here's What Broke (and What Finally Worked) OGBONNA SUNDAY OGBONNA SUNDAY OGBONNA SUNDAY Follow Dec 18 '25 I Patched CSS Grid into React Native — Here's What Broke (and What Finally Worked) # programming # reactnative # react # css 1 reaction Comments Add Comment 6 min read Day 31 0f Documenting My Learning Journey James Kabuga James Kabuga James Kabuga Follow Dec 20 '25 Day 31 0f Documenting My Learning Journey # python # programming # datascience # github Comments Add Comment 1 min read Mantine Compare: A Sleek, Accessible Way to Showcase Before/After in React Giovambattista Fazioli Giovambattista Fazioli Giovambattista Fazioli Follow Dec 18 '25 Mantine Compare: A Sleek, Accessible Way to Showcase Before/After in React # programming # reactjsdevelopment # typescript # webcomponents Comments Add Comment 3 min read CodexPad — a Notion-like workspace for Vim users (early feedback welcome) Animesh Singh Animesh Singh Animesh Singh Follow Dec 19 '25 CodexPad — a Notion-like workspace for Vim users (early feedback welcome) # vim # notion # programming Comments Add Comment 1 min read The AWS Lambda Setting I Wish I’d Changed Earlier Mursal Furqan Kumbhar Mursal Furqan Kumbhar Mursal Furqan Kumbhar Follow for AWS Community Builders Dec 30 '25 The AWS Lambda Setting I Wish I’d Changed Earlier # aws # cloud # beginners # programming 2 reactions Comments Add Comment 3 min read Your GitLab Data Security: 14 Critical Areas To Address GitProtect Team GitProtect Team GitProtect Team Follow for GitProtect Dec 19 '25 Your GitLab Data Security: 14 Critical Areas To Address # gitlab # devops # programming # security Comments Add Comment 9 min read Transport Nuances, Tool Poisoning, and the Compliance Trap OnlineProxy OnlineProxy OnlineProxy Follow Dec 18 '25 Transport Nuances, Tool Poisoning, and the Compliance Trap # programming # ai # beginners # tutorial Comments Add Comment 8 min read QuickCart A Next.js, Prisma, and Better Auth platform for side-hustlers selling on WhatsApp. Said MOUNAIM Said MOUNAIM Said MOUNAIM Follow Dec 24 '25 QuickCart A Next.js, Prisma, and Better Auth platform for side-hustlers selling on WhatsApp. # webdev # programming # javascript # nextjs 6 reactions Comments Add Comment 1 min read VeriBiota v0.2.1: Deterministic Verification with Proven Guarantees Omnis Coder Omnis Coder Omnis Coder Follow Dec 18 '25 VeriBiota v0.2.1: Deterministic Verification with Proven Guarantees # programming # biology # tutorial # opensource Comments Add Comment 2 min read Proxy, Reverse Proxy e Load Balancer: Spiegati come in un Ristorante Mirko Scapellato Mirko Scapellato Mirko Scapellato Follow Dec 18 '25 Proxy, Reverse Proxy e Load Balancer: Spiegati come in un Ristorante # devops # networking # programming # cloud Comments Add Comment 4 min read SOLID: Understanding the Principles That Make Code Cleaner and More Maintainable Jean Klebert de A Modesto Jean Klebert de A Modesto Jean Klebert de A Modesto Follow Dec 24 '25 SOLID: Understanding the Principles That Make Code Cleaner and More Maintainable # solidprinciples # oop # softwaredevelopment # programming 4 reactions Comments Add Comment 2 min read Building ScrapeForge in public starting tomorrow 🚀 Vishwas Batra Vishwas Batra Vishwas Batra Follow Dec 19 '25 Building ScrapeForge in public starting tomorrow 🚀 # webdev # programming # buildinpublic # marketing Comments 1 comment 1 min read Day 70: Python Wildcard Matching – DP Solution for '?' and '*' Patterns in O(n*m) (LeetCode #44 Mastery) Shahrouz Nikseresht Shahrouz Nikseresht Shahrouz Nikseresht Follow Dec 20 '25 Day 70: Python Wildcard Matching – DP Solution for '?' and '*' Patterns in O(n*m) (LeetCode #44 Mastery) # challenge # python # algorithms # programming 1 reaction Comments Add Comment 2 min read Brevity Tanner Iverson Tanner Iverson Tanner Iverson Follow Dec 19 '25 Brevity # writing # cleancode # programming Comments Add Comment 1 min read AI Revolutionizes IT: A New Era for IT Service Management? Malik Abualzait Malik Abualzait Malik Abualzait Follow Dec 19 '25 AI Revolutionizes IT: A New Era for IT Service Management? # ai # tech # programming # tutorial Comments Add Comment 3 min read LAN Party Robert Mion Robert Mion Robert Mion Follow Dec 19 '25 LAN Party # adventofcode # algorithms # javascript # programming Comments Add Comment 4 min read File Management Beyond Copy-Paste: Compressing, Splitting, and Why tar.gz Isn't Scary NJEI NJEI NJEI Follow Dec 18 '25 File Management Beyond Copy-Paste: Compressing, Splitting, and Why tar.gz Isn't Scary # devops # linux # tutorial # programming 1 reaction Comments Add Comment 7 min read Stop Juggling .env Files: Meet Fana-Envy, a Go-based TTY with Env Manager Adrian Fathan Adrian Fathan Adrian Fathan Follow Dec 18 '25 Stop Juggling .env Files: Meet Fana-Envy, a Go-based TTY with Env Manager # go # productivity # programming # opensource Comments Add Comment 1 min read Building a 10,000-Level Puzzle with Swift 6 and SwiftUI: My Journey as a Student Developer shane shane shane Follow Jan 9 Building a 10,000-Level Puzzle with Swift 6 and SwiftUI: My Journey as a Student Developer # programming # swift # ios # mobile 4 reactions Comments 1 comment 2 min read Building a Guided Tour Library for Angular: ngx-web-tour mgz coding mgz coding mgz coding Follow Dec 18 '25 Building a Guided Tour Library for Angular: ngx-web-tour # angular # programming # tutorial # typescript Comments Add Comment 2 min read Top 5 TypeScript AI Agent Frameworks You Should Know in 2026 Ali Ibrahim Ali Ibrahim Ali Ibrahim Follow Jan 1 Top 5 TypeScript AI Agent Frameworks You Should Know in 2026 # webdev # programming # ai # javascript 1 reaction Comments Add Comment 3 min read Introducing rn-animation-kit: The Easiest Way to Add Beautiful Animations to Your React Native App noman akram noman akram noman akram Follow Dec 19 '25 Introducing rn-animation-kit: The Easiest Way to Add Beautiful Animations to Your React Native App # programming # javascript # reactnative # android 1 reaction Comments Add Comment 4 min read loading... 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV DEV Community — Your community HQ Home About Contact Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. 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https://dev.to/ajtiti/ajtiti-39-projektowanie-rest-api#main-content | AjTiTi #39 - Projektowanie REST API - DEV Community Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. DUMB DEV Community Follow Memes and software development shitposting Design Community Follow Web design, graphic design and everything in-between Security Forem Follow Your central hub for all things security. From ethical hacking and CTFs to GRC and career development, for beginners and pros alike Golf Forem Follow A community of golfers and golfing enthusiasts Crypto Forem Follow A collaborative community for all things Crypto—from Bitcoin to protocol development and DeFi to NFTs and market analysis. Parenting Follow A place for parents to the share the joys, challenges, and wisdom that come from raising kids. We're here for them and for each other. Forem Core Follow Discussing the core forem open source software project — features, bugs, performance, self-hosting. Maker Forem Follow A community for makers, hobbyists, and professionals to discuss Arduino, Raspberry Pi, 3D printing, and much more. HMPL.js Forem Follow For developers using HMPL.js to build fast, lightweight web apps. A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account DEV Community Close AjTiTi [PL] Follow AjTiTi #39 - Projektowanie REST API Apr 15 '22 play Jak często spotykałeś się z API, które zawsze odpowiada statusem 200 OK, a dopiero po przeanalizowaniu całej odpowiedzi okazuje się, że wcale nie jest tak kolorowo? Bo my... wcale nie tak rzadko. Dlatego w dzisiejszym odcinku opowiadamy o sztuce projektowania REST API. Episode source Personal Trusted User Create template Templates let you quickly answer FAQs or store snippets for re-use. Submit Preview Dismiss Your browser does not support the audio element. 1x initializing... × 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV DEV Community — A space to discuss and keep up software development and manage your software career Home DEV++ Podcasts Videos DEV Education Tracks DEV Challenges DEV Help Advertise on DEV DEV Showcase About Contact Free Postgres Database Software comparisons Forem Shop Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails . DEV Community © 2016 - 2026. We're a place where coders share, stay up-to-date and grow their careers. Log in Create account | 2026-01-13T08:48:28 |
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https://dev.to/ngxp/s3e8-houssein-djirdeh-from-hating-programming-to-life-at-google#main-content | S3E8 | Houssein Djirdeh From Hating Programming to Life At Google - DEV Community Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. DUMB DEV Community Follow Memes and software development shitposting Design Community Follow Web design, graphic design and everything in-between Security Forem Follow Your central hub for all things security. From ethical hacking and CTFs to GRC and career development, for beginners and pros alike Golf Forem Follow A community of golfers and golfing enthusiasts Crypto Forem Follow A collaborative community for all things Crypto—from Bitcoin to protocol development and DeFi to NFTs and market analysis. Parenting Follow A place for parents to the share the joys, challenges, and wisdom that come from raising kids. We're here for them and for each other. Forem Core Follow Discussing the core forem open source software project — features, bugs, performance, self-hosting. Maker Forem Follow A community for makers, hobbyists, and professionals to discuss Arduino, Raspberry Pi, 3D printing, and much more. HMPL.js Forem Follow For developers using HMPL.js to build fast, lightweight web apps. A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account DEV Community Close Angular Experience Follow S3E8 | Houssein Djirdeh From Hating Programming to Life At Google Dec 5 '22 play SHOW SUMMARY: You know them… those friends and family who wonder how anyone can possibly enjoy software development. It’s hard to believe now, but Houssein Djirdeh, author and Senior Software Engineer at Google, once had similar feelings about programming. In fact, he hated it. So how did find his passion? And how about you? How can you reignite your passion if you’ve grown tired of heavy deadlines, endless meetings, & untimely bugs? In this episode, Houssein shares his tips and advice for getting past the frustrations and on to the fun! LINKS: https://twitter.com/hdjirdeh https://houssein.me/ https://www.linkedin.com/in/housseindjirdeh/ CONNECT WITH US: Houssein Djirdeh @hdjirdeh Brooke Avery @JediBravery Erik Slack @erik_slack Episode source Personal Trusted User Create template Templates let you quickly answer FAQs or store snippets for re-use. Submit Preview Dismiss Your browser does not support the audio element. 1x initializing... × 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV DEV Community — A space to discuss and keep up software development and manage your software career Home DEV++ Podcasts Videos DEV Education Tracks DEV Challenges DEV Help Advertise on DEV DEV Showcase About Contact Free Postgres Database Software comparisons Forem Shop Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails . DEV Community © 2016 - 2026. We're a place where coders share, stay up-to-date and grow their careers. Log in Create account | 2026-01-13T08:48:28 |
https://dev.to/imranhashmi127#main-content | imranhashmi127 - DEV Community Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. DUMB DEV Community Follow Memes and software development shitposting Design Community Follow Web design, graphic design and everything in-between Security Forem Follow Your central hub for all things security. From ethical hacking and CTFs to GRC and career development, for beginners and pros alike Golf Forem Follow A community of golfers and golfing enthusiasts Crypto Forem Follow A collaborative community for all things Crypto—from Bitcoin to protocol development and DeFi to NFTs and market analysis. Parenting Follow A place for parents to the share the joys, challenges, and wisdom that come from raising kids. We're here for them and for each other. Forem Core Follow Discussing the core forem open source software project — features, bugs, performance, self-hosting. Maker Forem Follow A community for makers, hobbyists, and professionals to discuss Arduino, Raspberry Pi, 3D printing, and much more. HMPL.js Forem Follow For developers using HMPL.js to build fast, lightweight web apps. A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account DEV Community Close Follow User actions imranhashmi127 404 bio not found Joined Joined on Oct 19, 2022 github website More info about @imranhashmi127 Badges Three Year Club This badge celebrates the longevity of those who have been a registered member of the DEV Community for at least three years. Got it Close Two Year Club This badge celebrates the longevity of those who have been a registered member of the DEV Community for at least two years. Got it Close One Year Club This badge celebrates the longevity of those who have been a registered member of the DEV Community for at least one year. Got it Close Post 0 posts published Comment 1 comment written Tag 0 tags followed Want to connect with imranhashmi127? Create an account to connect with imranhashmi127. You can also sign in below to proceed if you already have an account. Create Account Already have an account? Sign in loading... 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV DEV Community — A space to discuss and keep up software development and manage your software career Home DEV++ Podcasts Videos DEV Education Tracks DEV Challenges DEV Help Advertise on DEV DEV Showcase About Contact Free Postgres Database Software comparisons Forem Shop Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails . DEV Community © 2016 - 2026. We're a place where coders share, stay up-to-date and grow their careers. Log in Create account | 2026-01-13T08:48:28 |
https://developer.x.com/developer-terms/policy#5-c | Developer Policy – X Developers | X Developer Platform <g> <g> <defs> <rect id="SVGID_1_" x="-468" y="-1360" width="1440" height="3027" /> </defs> <clippath id="SVGID_2_"> <use xlink:href="#SVGID_1_" style="overflow:visible;" /> </clippath> </g> </g> <rect x="-468" y="-1360" class="st0" width="1440" height="3027" style="fill:rgb(0,0,0,0);stroke-width:3;stroke:rgb(0,0,0)" /> <path d="M13.4,12l5.8-5.8c0.4-0.4,0.4-1,0-1.4c-0.4-0.4-1-0.4-1.4,0L12,10.6L6.2,4.8c-0.4-0.4-1-0.4-1.4,0c-0.4,0.4-0.4,1,0,1.4 l5.8,5.8l-5.8,5.8c-0.4,0.4-0.4,1,0,1.4c0.2,0.2,0.4,0.3,0.7,0.3s0.5-0.1,0.7-0.3l5.8-5.8l5.8,5.8c0.2,0.2,0.5,0.3,0.7,0.3 s0.5-0.1,0.7-0.3c0.4-0.4,0.4-1,0-1.4L13.4,12z" /> </svg>" data-icon-chevron-right="<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewbox="0 0 24 24" aria-hidden="true" focusable="false" role="none" class="twtr-icon"> <path opacity="0" d="M0 0h24v24H0z" /> <path d="M17.207 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Portal","path":"https://developer.twitter.com/en/portal/petition/essential/basic-info"}]" data-cta-enabled="true" data-profile-enabled="true" data-cta-link-new-tab="false" data-root-page-title="Developer Platform"> Developer terms Developer Policy Let's get started X + Developers Using this policy X + Developers Using this policy X + Developers X loves developers. We’re delighted and amazed by the tools and services this community creates by harnessing the power of X data. As part of our commitment to this community, we aim to provide data access that is open and fair for developers, safe for people on X, and beneficial for the X platform as a whole. To further these goals we’ve crafted the Developer Policy as a guide to help people understand our rules and expectations about appropriate API and X Content usage. This Developer Policy (“ Policy ”) provides rules and guidelines for developers who interact with X’s ecosystem of applications, services, website, web pages and content. It is part of your contract with X governing access to and use of the X API and X Content (either as part of the Developer Agreement or other written agreement with X). Policy violations are considered violations of your agreement. This Policy may be changed from time to time without notice. Capitalized terms used in this Policy, which are not defined in this Policy, will have the respective meanings ascribed to them in the Developer Agreement or the Master License Agreement. Using this policy We’ve structured this policy to make it as easy to follow as possible. Please keep information from the following policy sections top of mind as you use the X API and X Content: 1. Set Yourself Up for Success - You are responsible for complying with all X policies. It’s important that you review and understand this Policy, as well as the policies we link to in this document, before you access the X API and X Content. The time spent reviewing our policies may save you hours of rework down the road. 2. Privacy and Control are Essential - Protecting and defending the privacy of people on X is built into the core DNA of our company. As such, we prohibit the use of X data in any way that would be inconsistent with people’s reasonable expectations of privacy. By building on the X API or accessing X Content, you have a special role to play in safeguarding this commitment, most importantly by respecting people’s privacy and providing them with transparency and control over how their data is used. 3. Follow the Platform Usage Guidelines - Getting approved to access the X API and X Content is just the first step. Our Platform Usage Guidelines should be your first stop anytime you have questions about how to ensure policy compliance for your planned use of the X platform. We’ve provided a lot more detail on what each of these three key sections mean below. Please review them carefully to ensure that your usage of the X API and X Content is consistent with our policies. If we believe you are in violation of this Policy (or any other X policy), we may suspend or permanently revoke your access to the X API and X Content. Finally, please note that X may monitor your use of the X API to improve the X Applications, to examine any commercial use, and to ensure your compliance with your approved use case and this Policy. Thanks for reading, and thank you for building with us! We look forward to seeing what you create! Chapter 1 Set yourself up for success Set yourself up for success Set yourself up for success Set yourself up for success You can avoid many potential pitfalls while using the X API by ensuring that your service has been built the right way from day 1. This section of the Developer Policy contains rules that all developers must follow before using the X API or X Content. The Free, Basic, and Pro plans (as described at developer.x.com/en ) are designed for hobbyists, commercial prototyping, early-stage X product integrations, and supporting applications with limited end-users. If you use the X API and X Content beyond this scope, then you must apply (or already subscribe to) an Enterprise plan (as described at developer.x.com/en ). We review all proposed uses of the X developer platform to verify policy compliance — so you’re required to disclose (and update, as applicable) your planned use of the X API and X Content in order to be granted and to maintain access. All new developers must apply for a developer account to access the X API. Current developers without an approved developer account must apply for one as directed to do so by X. As part of this process, you’ll need to provide us with a written description of your intended uses of the X API and X Content. Your use case description is binding on you, and any substantive deviation from it may constitute a violation of our rules and result in enforcement action. You must notify us of any substantive modification to your use case and receive approval before you may begin using X Content for that new purpose. Failure to do so may result in suspension and termination of your API and data access. By building on the X API or accessing X Content, you must comply with ALL X policies. These include this Developer Policy , the Automation Rules , the Display Requirements , the API Restricted Uses Rules , the X Rules , and the X Brand Resources , as well as any other agreements you enter into with X relating to your use of the X API or X Content, including but not limited to the Developer Agreement or a Master Licensing Agreement or Order (as applicable). You must also comply with any modifications to these policies and any new policies launched by X. It is your responsibility to monitor the use of your service and to design your service to prevent violations of X policy by people who use it. Failure to do so may result in suspension or termination of your API and X Content access. You may not register multiple applications for a single use case or substantially similar or overlapping use cases. In this context, a “use case” is a consistent set of analyses, displays, or actions performed via an application. "White label" versions of a tool or service are not permissible. If you plan to “white label” versions of your application, you must notify and receive separate approval from us. As a single exception to these rules, you may create and use a maximum of 3 applications for development, staging, and production instances of the same service. These apps must be registered to a single account, and should be clearly identified (in the name and description) as dev, staging, and prod instances of a single service. You may not use development or staging applications for production purposes. You must keep all API keys or other access credentials private. You may not use, and may not encourage or facilitate others to use, API keys or other access credentials owned by others. Your license agreement with X limits your use of the X API and X Content. Among other things, the X API has rate limits which help to ensure fair data usage and to combat spam on the platform. You may not exceed or circumvent rate limits, or any other limitations or restrictions described in this Policy or your agreement with X, listed on the Developer Site , or communicated to you by X. You may not remove or alter any proprietary notices or marks on X Content received via the X API. This helps to make sure that people know where X Content is coming from, and who it belongs to. For data integrity and platform health reasons, you may not interfere with, intercept, disrupt, or disable any features of the X API or the X service. In other words, use the APIs as intended and documented on developer.x.com . Refer to our HackerOne guidelines for more details about acceptable use. Chapter 2 Privacy and control are essential Privacy and control are essential Consent & permissions Content compliance Off-X matching Your privacy policy Using geo-data X passwords Privacy and control are essential Consent & permissions Content compliance Off-X matching Your privacy policy Using geo-data X passwords Privacy and control are essential X takes privacy seriously, and we expect everyone using X Content and the X API to do the same. Any use of the X developer platform, X API, or X Content in a manner that is inconsistent with peoples’ reasonable expectations of privacy may be subject to enforcement action, which can include suspension and termination of API and X Content access. Your commitment to privacy and control must extend to all uses of X Content and all aspects of the service that you build using our API. To that end, the people using your service must understand and consent to how you use their data, and how you access X on their behalf. This can be accomplished through providing people with a clear, comprehensive, and transparent privacy policy, as well as ensuring that you get express and informed consent from each person using your service before taking any action on their behalf. Please note that a person authenticating into your service does not by itself constitute consent. Consent & permissions In particular, you must get express and informed consent from people before doing any of the following: Taking any actions on their behalf. This includes (but is not limited to): Posting content to X Following/unfollowing accounts Modifying profile or account information Adding hashtags or any other content to Posts Republishing content accessed by means other than via the X API or other X tools Using someone’s X Content to promote a product or service Storing non-public content such as Direct Messages (DMs), or any other private or confidential information Sharing or publishing protected content, or any other private or confidential information If your service allows people to post content to X you must do the following before publishing: Show exactly what will be published Make it clear to people using your service what geo information (if any) will be added to the content If your service allows people to post content to both your service and X, you must do the following before publishing: Obtain permission to post the content Explain where you will post the content You must respect the protected and blocked status of all X Content. You may not serve content obtained using one person’s authentication token to a different person who is not authorized to view that content. Protected accounts: A protected account ’s content is only available to people who have been approved by the owner to follow that account. So, if you run a service that accesses protected accounts, you may only do so to serve such content to the specific people with permission to view that content. Blocked accounts: People on X are able to block access to their accounts for any reason they choose. Commingling information obtained from tokens (or any other API-based action) to bypass this choice is not permitted. As Direct Messages (DMs) are non-public in nature, services that provide DM features must take extra steps to safeguard personal privacy. You may not serve DM content to people who are not authorized to view that content. If your service provides DM functionality you must also: Notify people if you send read receipt events for DMs. You can do this by providing a notice directly in your service, or by displaying read receipts from other participants in a conversation. Get consent before configuring media to be sent in a DM as "shared" (i.e. reusable across multiple DMs). If you do allow media in a DM to be “shared,” you must provide a clear notice that this content will be accessible to anyone with the media’s URL. Content compliance If you store X Content offline, you must keep it up to date with the current state of that content on X. Specifically, you must delete or modify any content you have if it is deleted or modified on X. This must be done as soon as reasonably possible, or within 24 hours after receiving a request to do so by X or the applicable X account owner, or as otherwise required by your agreement with X or applicable law. This must be done unless otherwise prohibited by law, and only then with the express written permission of X. Modified content can take various forms. This includes (but is not limited to): Content that has been made private or gained protected status Content that has been suspended from the platform Content that has had geotags removed from it Content that has been withheld or removed from X Off-X matching We limit the circumstances under which you may match a person on X to information obtained or stored off-X. Off-X matching involves associating X Content, including a X @handle or user ID, with a person, household, device, browser, or other off-X identifier. You may only do this if you have express opt-in consent from the person before making the association, or as described below. In situations in which you don’t have a person’s express, opt-in consent to link their Xidentity to an off-X identifier, we require that any connection you draw be based only on information that someone would reasonably expect to be used for that purpose. In addition, absent a person’s express opt-in consent you may only attempt to match your records about someone to a X identity based on: Information provided directly to you by the person. Note that records about individuals with whom you have no prior relationship, including data about individuals obtained from third parties, do not meet this standard; and/or Public data. “Public data” in this context refers to: Information about a person that you obtained from a public, generally-available resource (such as a directory of members of a professional association) Information on X about a person that is publicly available, including: Posts Profile information, including an account bio and publicly-stated location Display name and @handle Your privacy policy You must display your service’s privacy policy to people before they are permitted to download, install, or sign up to your service. It must disclose at least the following information: The information that you collect from people who use your service How you use and share that information (including with X) How people can contact you with inquiries and requests regarding their information Your privacy policy must be consistent with all applicable laws, and be no less protective of people than X’s Privacy Policy and the privacy policy of our other services and corporate affiliates . You must cease your access to the X API and the use of all X Content if you are unable to comply with your and/or X’s Privacy Policy. Using geo-data Use of geo data comes with additional restrictions due to the sensitive nature of this information. If your service adds location information to Posts, you must disclose to people: When you add location information Whether you add location information as a geotag or annotations data Whether your location information is listed as a place, or as geographic coordinates If your application allows people to post with their location you must comply with X’s geo guidelines in full. Any use of location data or geographic information on a standalone basis is prohibited. You may not (and may not permit others to) store, aggregate, or cache location data and other geographic information contained in X Content, except as part of a Post. For example, you may not separate location data or geographic information out from Posts to show where individuals have been over time. Heat maps and related tools that show aggregated geo activity (e.g., the number of people in a city using a hashtag) are permitted. X passwords You may not store X passwords, or request that people provide their X password, account credentials, or developer application information (including consumer key) to you directly. We suggest the use of Sign-in with X as the authentication tool to link your service and people on X. Chapter 3 Platform usage guidelines Platform usage guidelines Spam, bots, and automation X performance benchmarking Public display of Posts Content redistribution Pay to engage Service authenticy X name, logo, and likeness Advertising on X Platform usage guidelines Spam, bots, and automation X performance benchmarking Public display of Posts Content redistribution Pay to engage Service authenticy X name, logo, and likeness Advertising on X Platform usage guidelines Have you taken care to review X’s policies and set up your API access the right way? Does your service follow X’s privacy and control guidelines? If you can answer yes to these two questions, then you are ready to start using the X API and X Content. X’s Platform Usage Guidelines provide the assistance needed to ensure that your use of X Content is compliant from day 1 throughout the lifecycle of your service. We suggest reviewing these rules on a regular basis to make sure that your integration is operating in a way that is safe and beneficial to people on X and the X platform as a whole. Spam, bots, and automation The use of the X API and developer products to create spam, or engage in any form of platform manipulation, is prohibited. You should review the X Rules on platform manipulation and spam , and ensure that your service does not, and does not enable people to, violate our policies. Services that perform write actions, including posting Posts, following accounts, or sending Direct Messages, must follow the Automation Rules . In particular, you should: Always get explicit consent before sending people automated replies or Direct Messages Immediately respect requests to opt-out of being contacted by you Never perform bulk, aggressive, or spammy actions, including bulk following Never post identical or substantially similar content across multiple accounts If you’re operating an API-based bot account you must clearly indicate what the account is and who is responsible for it. You should never mislead or confuse people about whether your account is or is not a bot. A good way to do this is by including a statement that the account is a bot in the profile bio. X performance benchmarking You may not use the X API to measure the availability, performance, functionality, or usage of X for benchmarking, competitive, or commercial purposes. For example, you should never use the X API to: Calculate aggregate X metrics, such as the total number of Monthly Actives (MAs) or Daily Actives (DAs) Calculate aggregate X Post metrics, such as the total number of Posts posted per day, or the number of account engagements Measure or analyze the responsiveness of X Measure or analyze spam or security on X, except as permitted below We support research that helps improve conversational health on X. You may not publicly disclose any research or findings concerning, or develop, create, or offer services using, the X API or X Content that measure, analyze, or attempt to identify behaviors or content which violate X policies without express written permission from X. DSA Researchers: If you need to contact X relating to access under Art. 40 of the Digital Services Act, please contact EU-Questions@X.com . If you wish to apply for researcher access, please submit an application . Public display of Posts You must maintain the integrity of all X Content that you display publicly or to people who use your service. If you don’t use X for Websites to display content, then you must use the X API to retrieve the most current version available for display. If displayed content ceases to be available through the X API, then you must remove it from your service as soon as reasonably possible, or within 24 hours after the receipt of a removal request from X, or the applicable X account owner, or as otherwise required by applicable law. There are specific rules you must follow if you display X Content offline. Follow the guidelines for using Posts in broadcast if you display Posts offline. If you embed or display Posts, you must contact us about your X API access if your site exceeds 10 million daily impressions. X reserves the right to require additional terms as a condition to your use of the X API. Additional restrictions on X for Websites developer use include: Embedded Posts and/or embedded timelines You must provide people with legally sufficient notice that fully discloses X’s collection and use of data about browsing activities on your website, including for interest-based advertising and personalization. You must also obtain legally sufficient consent from people for such collection and use You must provide legally sufficient instructions on how people can opt out of X’s interest-based advertising and personalization as described here X for Websites widgets You must ensure that people are provided with clear and comprehensive information about, and consent to, the storing and accessing of cookies or other information on their devices as described in X’s cookie use , where providing such information and obtaining such consent is required by law Services targeted to children under 13 Services targeted to children under 13 must opt out of tailoring X in any embedded Post and/or embedded timelines by setting the opt-out parameter to be ‘true’ as described here Content redistribution The best place to get X Content is directly from X. Consequently, we restrict the redistribution of X Content to third parties. If you provide X Content to third parties, including downloadable datasets or via an API, you may only distribute Post IDs, Direct Message IDs, and/or User IDs (except as described below). In total, you may not distribute more than 1,500,000 Post IDs to any entity (inclusive of multiple individuals associated with a single entity) within any 30 day period unless you have received written permission from X. In addition, developers may provide up to 500 public Posts Objects and/or User Objects to each person who uses your service on a daily basis if this is done via non-automated means (e.g., download of spreadsheets or PDFs). Academic researchers are permitted to distribute Post IDs and/or User IDs solely for the purposes of non-commercial research on behalf of an academic institution, and that has been approved by X in writing, or peer review or validation of such research. Only as many Post IDs or User IDs that is necessary for such research, and has been approved by X may be used. Any X Content provided to third parties remains subject to this Policy, and those third parties must agree to the X Terms of Service , Privacy Policy , Developer Agreement , and Developer Policy before receiving such downloads. You may not enable any entity to circumvent any other limitations or restrictions on the distribution of X Content as contained in this Policy , the Developer Agreement , or any other agreement with X. Note: This Section does not apply to researchers with X API access via Art. 40 of the EU Digital Services Act (2022) (“ DSA ”), who are instead subject to the procedures and restrictions set forth in the DSA and the Developer Agreement. Pay to engage Your service shouldn’t compensate people to take actions on X, as that results in inauthentic engagement that degrades the health of the platform. As you use the X API you may not sell or receive monetary or virtual compensation for any X actions. This includes, but is not limited to, Posts, follows, unfollows, reposts, likes, comments, and replies. Service authenticity You must clearly identify your service so that people can understand its source and purpose. Don’t use names, logos, or URLs that mask your service’s identity and features, or that falsely imply an affiliation with X or third parties. Note that creating applications for the purpose of selling names, or to prevent others from using names, is prohibited. You may not use any URL (including shortened URLs) for your service that directs people to: A site that is unrelated to your service A spam or malware site A site that encourages people to violate X policy X name, logo, and likeness You may only use and display the X name and logo to identify X as the source of X Content. You should never use the X name and logo, the X Official Partner Program badge, or any other similar marks or names in a manner that creates a false sense of endorsement, sponsorship, or association with X. The X Brand Resources contain detailed information to help you use the X brand in the right way. You may only use the X Verified Account badge and any other enhanced account categorization as it is reported to you by X through the API. This helps people know that the content your service displays is equivalent to that shown on X. Advertising on X There are restrictions regarding how and where you are allowed to advertise around X Content. To start, your advertisements can’t resemble or reasonably be confused by people as a Post. Other rules on advertising include: There must be a clear separation between X Content and your advertisements. You may not place any advertisements within the X timeline other than X Ads. X reserves the right to serve advertising via the X API. If you decide to serve X Ads once we start delivering them via the API, we will share a portion of advertising revenue with you in accordance with the relevant terms and conditions. You may not use X Content, or information obtained from the X API to target people with advertising outside of the X platform. Chapter 4 Rules for specific X services or features X login X Cards Definitions X login X Cards Definitions The following additional rules apply for any use of the X services or features listed below: X login You must present people with easy to find options to log into and out of X, for example via the OAuth protocol. The Sign in with X option must be displayed at least as prominently as any other sign-up or sign-in feature on your service. You must also provide people without a X account the opportunity to create one via X. Once someone on your service authenticates via Sign in with X you must clearly display their X identity. X identity includes the person’s current X @handle, avatar, and X logo. Any display of someone’s X followers on your service must clearly show that the relationship is associated with X. X Cards To ensure a quality experience you must develop your Card to render across all platforms where Cards are displayed. Additional rules that you must follow when using Cards include: You must mark your Post as ‘true’ for sensitive media if you plan to display such media within a Card You must use HTTPS for hosting all assets within your Card. Your Card should never generate active mixed content browser warnings Audio and video content should include stop or pause controls, and default to ‘sound off’ for videos that automatically play content You may not exceed or circumvent X’s limitations placed on any Cards, including the Card’s intended use. Additional restrictions on Cards use include: You may not place third-party sponsored content within Cards without X’s approval You may not attach monetary incentives (including virtual currency) within your Card or on X from your Card You may not include content or actions within your Card that are misleading or not contextually relevant, such as URLs and media You may only attach an App Card to a Post when someone is explicitly promoting or referring to the app in the Post Definitions X Content ‒ Posts, Post IDs, X end user profile information, and any other data and information made available to you through the X API or by any other means authorized by X, and any copies and derivative works thereof. Developer Site ‒ X’s developer site located at https://developer.x.com . Services ‒ Your websites, applications and other offerings that display X Content or otherwise use the Licensed Material as explicitly approved by X. Post ID ‒ A unique identification number generated for each Post. Post ‒ A posting made on X Applications. “X” ‒ Means (a) X Corp. (865 FM 1209, Building 2, Bastrop, TX 78602, USA) if your principal place of business is outside the European Union, EFTA States, and the United Kingdom; or (b) X Internet Unlimited Company (One Cumberland Place, Fenian Street, Dublin 2, D02 AX07, Ireland) if your principal place of business is in the European Union, EFTA States, or the United Kingdom. Direct Message - A message that is privately sent on X Applications by one end user to one or more specific end user(s) using X’s Direct Message function. X API ‒ The X Application Programming Interface (“API”), Software Development Kit (“SDK”) and/or the related documentation, data, code, and other materials provided by X with the API, as updated from time to time, including without limitation through the Developer Site. X Applications ‒ X’s consumer facing products, services, applications, websites, web pages, platforms, and other offerings, including without limitation, those offered via https://x.com and X's mobile applications. Developer policy and terms Follow @XDevelopers Subscribe to developer news X platform X.com Status Accessibility Embed a post Privacy Center Transparency Center Download the X app Try Grok.com X Corp. About the company Company news Brand toolkit Jobs and internships Investors Help Help Center Using X X for creators Ads Help Center Managing your account Email Preference Center Rules and policies Contact us Developer resources Developer home Documentation Forums Communities Developer blog Engineering blog Developer terms Business resources Advertise X for business Resources and guides X for marketers Marketing insights Brand inspiration X Ads Academy © 2026 X Corp. Cookies Privacy Terms and conditions Did someone say … cookies? X and its partners use cookies to provide you with a better, safer and faster service and to support our business. Some cookies are necessary to use our services, improve our services, and make sure they work properly. Show more about your choices . Accept all cookies Refuse non-essential cookies | 2026-01-13T08:48:28 |
https://www.linkedin.com/company/devcyclehq?trk=organization_guest_main-feed-card_feed-actor-name | DevCycle | LinkedIn Skip to main content LinkedIn Top Content People Learning Jobs Games Sign in Join now for free DevCycle Software Development Toronto, Ontario 1,008 followers A feature flag management platform built for developers 👩💻 🚩 | Part of the OpenFeature Ecosystem 🌎 Follow View all 21 employees Report this company About us A feature flag management platform built for developers 👩💻 🚩 | Part of the OpenFeature Ecosystem 🌎 Website https://devcycle.com External link for DevCycle Industry Software Development Company size 11-50 employees Headquarters Toronto, Ontario Type Privately Held Founded 2021 Specialties feature flags, feature management, and developer productivity Locations Primary 49 Spadina Ave Suite 304 Toronto, Ontario 55V 2J1, US Get directions Employees at DevCycle Mark Allen Bryan Clark Chris Aniszczyk Julia Gilinets See all employees Updates DevCycle 1,008 followers 3w Report this post 🧑💻 Engineering managers: 😬 If every deploy makes your team nervous, the problem isn’t confidence — it’s tooling. 🧗 Feature flags turn production into a controlled environment, not a cliff edge. https://lnkd.in/esqHPr-f #FeatureFlags #SoftwareEng #EngManager by Mark Allen Why Feature Flags Are a Must in Every Engineering Manager’s Toolkit blog.devcycle.com Like Comment Share DevCycle 1,008 followers 3w Report this post ⏱️ Every hour your engineers spend maintaining a homegrown feature flag system 🏗️ Is an hour they’re not building features users actually pay for. DIY flags aren’t free. 🐢 They’re paid for in lost velocity, focus, and morale. https://lnkd.in/eqWXpDfE #FeatureFlags #SoftwareEng #EngManager by Mark Allen Why a Homegrown Feature Flag System is a Trap blog.devcycle.com Like Comment Share DevCycle 1,008 followers 3w Report this post ✅ The era of smashing the big green deploy button and praying is over. When AI writes code, you don’t launch it wide. You wrap it in a feature flag. Ship to prod. Turn it on for 3 people. Watch it breathe. Then roll it out. This is how AI code survives production. 🏕️ https://lnkd.in/da5eDB8W #FeatureFlags #SoftwareEng #EngManager by Mark Allen Who Knew Feature Flags Would Save AI Coding blog.devcycle.com 4 Like Comment Share DevCycle 1,008 followers 3w Report this post 👾 Engineering teams don’t slow down because of code 🐌 They slow down because every deployment is treated like a launch 🏎️ Feature flags fix that 👯♂️ Decouple deploy from release → ship faster, fear less, validate sooner 🔥 If you’re still shipping big-bang style… you’re burning velocity https://lnkd.in/esqHPr-f #FeatureFlags #SoftwareEng #EngManager by Mark Allen Why Feature Flags Are a Must in Every Engineering Manager’s Toolkit blog.devcycle.com 1 Like Comment Share DevCycle 1,008 followers 4w Report this post The real data is brutal: • 30% of engineering time lost to DIY flag maintenance 🚧 • 73% of flags never removed 🔒 • Thousands of hours per year navigating flag technical debt and bloat 🫃 Homegrown feature flags aren’t “lightweight.” They’re a slow bleed. 🩸 🩸 🩸 https://lnkd.in/eqWXpDfE #FeatureFlags #SoftwareEng #EngManager by Mark Allen Why a Homegrown Feature Flag System is a Trap blog.devcycle.com 2 1 Comment Like Comment Share DevCycle 1,008 followers 1mo Report this post 🔁 The modern dev loop (or cycle 😉) isn’t write → test → ship anymore. It’s: 🤖 generate → 🏁wrap behind feature flag → 🚀 deploy → 🍰 test on a tiny slice → 🛼 roll out 🏃💨 That loop is why AI-driven teams ship faster without lighting prod on 🔥🚒. https://lnkd.in/da5eDB8W #FeatureFlags #SoftwareEng #EngManager by Mark Allen Who Knew Feature Flags Would Save AI Coding blog.devcycle.com 2 Like Comment Share DevCycle 1,008 followers 1mo Report this post ⚔️ Most teams think they have a product/engineering alignment problem. 🏁 Really, they just don’t have feature flags. 🎚️ Flags turn launches into decisions, not deployments—PMs own timing, engineers own flow, and everyone sleeps better. https://lnkd.in/esqHPr-f #FeatureFlags #SoftwareEng #EngManager by Mark Allen Why Feature Flags Are a Must in Every Engineering Manager’s Toolkit blog.devcycle.com 5 Like Comment Share DevCycle reposted this Mark Allen 1mo Report this post I’ve always wrestled with building meaningful frontend + backend demos. Nothing breaks the illusion faster than fake auth flows or placeholder tokens. In the real world, we rely on proper JWTs; therefore, our demos should reflect that. To fix the gap, I built a small Express middleware that issues real JWTs for an email address, mimicking a lightweight IDP. With that, I’ve taken the next step and created an example app using OpenFeature and DevCycle across both the frontend and the backend. The app uses middleware to generate the token and pass it through the stack, end-to-end evaluating the user's feature flags as you would in a real app. If this helps you, I’d love a ⭐ or two and PRs are always welcome. #DevOps #FeatureFlags #OpenFeature #DevCycle #NodeJS #JavaScript #SoftwareEngineering #DevEx 22 1 Comment Like Comment Share DevCycle reposted this Andrew Norris 1mo Report this post 6 months ago our onboarding looked “fine.” Nice UI, polished tutorial, solid drop-off rates. But devs still weren’t hitting SDK install. So we nuked the tutorial and rebuilt around MCP — where onboarding happens in your editor. 3× more installs. https://lnkd.in/gGShAmhK MCP Onboarding for Feature Flagging: 3x SDK Installs blog.devcycle.com 15 1 Comment Like Comment Share DevCycle reposted this Andrew Norris 2mo Report this post We learned something big about onboarding: Even great tutorials can break if they pull developers away from their real workflow. So we rebuilt onboarding around MCP to bring DevCycle into the IDE. 3× more users now reach SDK install. How it works → https://lnkd.in/gGShAmhK MCP Onboarding for Feature Flagging: 3x SDK Installs blog.devcycle.com 8 1 Comment Like Comment Share Join now to see what you are missing Find people you know at DevCycle Browse recommended jobs for you View all updates, news, and articles Join now Similar pages Taplytics Software Development Toronto, Ontario Reprompt (YC W24) Technology, Information and Internet San Francisco, California sync. 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https://aws.amazon.com/privacy/?nc1=f_pr | AWS Privacy (Chromeless) Skip to main content Filter: All English Contact us AWS Marketplace Support My account Search Filter: All Sign in to console Create account Privacy Notice Last Updated: October 16, 2025 View the prior version of this Privacy Notice. This Privacy Notice describes how we collect and use your personal information in relation to AWS websites, applications, products, services, events, and experiences that reference this Privacy Notice (together, “AWS Offerings”). This Privacy Notice does not apply to the “content” processed, stored, or hosted by our customers using AWS Offerings in connection with an AWS account. See the agreement governing your access to your AWS account and the AWS Data Privacy FAQ for more information about how we handle content and how our customers can control their content through AWS Offerings. This Privacy Notice also does not apply to any products, services, websites, or content that are offered by third parties or have their own privacy notice. Personal Information We Collect How We Use Personal Information Cookies How We Share Personal Information Location of Personal Information How We Secure Information Access and Choice Children’s Personal Information Third Party Sites and Services Retention of Personal Information Contacts, Notices, and Revisions EU-US Data Privacy Framework, UK Extension, and Swiss-US Data Privacy Framework Additional Information for Certain Jurisdictions Examples of Information Collected Personal Information We Collect We collect your personal information in the course of providing AWS Offerings to you. Here are the types of information we gather: Information You Give Us: We collect any information you provide in relation to AWS Offerings. Click here to see examples of information you give us. Automatic Information: We automatically collect certain types of information when you interact with AWS Offerings. Click here to see examples of information we collect automatically. Information from Other Sources: We might collect information about you from other sources, including service providers, partners, and publicly available sources. Click here to see examples of information we collect from other sources. See examples of information we collect or receive . How We Use Personal Information We use your personal information to operate, provide, and improve AWS Offerings. Our purposes for using personal information include: Provide AWS Offerings: We use your personal information to provide and deliver AWS Offerings and process transactions related to AWS Offerings, including registrations, subscriptions, purchases, and payments. Measure, Support, and Improve AWS Offerings: We use your personal information to measure use of, analyze performance of, fix errors in, provide support for, improve, and develop AWS Offerings. Recommendations and Personalization: We use your personal information to recommend AWS Offerings that might be of interest to you, identify your preferences, and personalize your experience with AWS Offerings. Comply with Legal Obligations: In certain cases, we have a legal obligation to collect, use, or retain your personal information. For example, we collect bank account information from AWS Marketplace sellers for identity verification. Communicate with You: We use your personal information to communicate with you in relation to AWS Offerings via different channels (e.g., by phone, email, chat) and to respond to your requests. Marketing and Advertising: We use your personal information to market, advertise, and promote AWS Offerings. Fraud and Abuse Prevention and Credit Risks: We use your personal information to prevent and detect fraud and abuse in order to protect the security of our customers, AWS, and others. We may also use scoring methods to assess and manage credit risks. Purposes for Which We Seek Your Consent: We may also ask for your consent to use your personal information for a specific purpose that we communicate to you. Cookies To enable our systems to recognize your browser or device, and to provide, market, and improve AWS Offerings, and to advertise to you on third-party websites and services, we and approved third parties use cookies and other identifiers. For more information about cookies and how we use them, please read our Cookie Notice . How We Share Personal Information Information about our customers is an important part of our business and we are not in the business of selling our customers’ personal information to others. We share personal information only as described below and with Amazon.com, Inc. and the affiliates that Amazon.com, Inc. controls that are either subject to this Privacy Notice or follow practices at least as protective as those described in this Privacy Notice. Transactions Involving Third Parties: We make available to you services, software, and content provided by third parties for use on or through AWS Offerings. You can tell when a third party is involved in your transactions, and we share information related to those transactions with that third party. For example, you can order services, software, and content from sellers using the AWS Marketplace and we provide those sellers information to facilitate your subscription, purchases, or support. Third-Party Service Providers: We employ other companies and individuals to perform functions on our behalf. Examples include: delivering AWS hardware, sending communications, processing payments, assessing credit and compliance risks, analyzing data, providing marketing and sales assistance (including advertising and event management), conducting customer relationship management, and providing training. These third-party service providers have access to personal information needed to perform their functions, but may not use it for other purposes. Further, they must process that information in accordance with this Privacy Notice and as permitted by applicable data protection law. Business Transfers: As we continue to develop our business, we might sell or buy businesses or services. In such transactions, personal information generally is one of the transferred business assets but remains subject to the promises made in any pre-existing Privacy Notice (unless, of course, the individual consents otherwise). Also, in the unlikely event that AWS or substantially all of its assets are acquired, your information will of course be one of the transferred assets. Protection of Us and Others: We release account and other personal information when we believe release is appropriate to comply with the law, enforce or apply our terms and other agreements, or protect the rights, property, or security of AWS, our customers, or others. This includes exchanging information with other companies and organizations for fraud prevention and detection and credit risk reduction. At Your Option: Other than as set out above, you will receive notice when personal information about you might be shared with third parties, and you will have an opportunity to choose not to share the information. Location of Personal Information Amazon Web Services, Inc. is located in the United States, and our affiliated companies are located throughout the world. Depending on the scope of your interactions with AWS Offerings, your personal information may be stored in or accessed from multiple countries, including the United States. Whenever we transfer personal information to other jurisdictions, we will ensure that the information is transferred in accordance with this Privacy Notice and as permitted by applicable data protection laws. How We Secure Information At AWS, security is our highest priority. We design our systems with your security and privacy in mind. We maintain a wide variety of compliance programs that validate our security controls. Learn more about our compliance programs at AWS Cloud Security . We protect the security of your information during transmission to or from AWS websites, applications, products, or services by using encryption protocols and software. We follow the Payment Card Industry Data Security Standard (PCI DSS) when handling credit card data. We maintain physical, electronic, and procedural safeguards in connection with the collection, storage, and disclosure of personal information. Our security procedures mean that we may request proof of identity before we disclose personal information to you. Advertising To help you receive more useful and relevant ads on other sites and services and to measure their effectiveness, AWS shares limited personal information with our advertising partners. We don’t share your name or other information that directly identifies you when we do this. Instead, we use an identifier like a cookie or a unique code derived from your contact information (such as a hashed email address). If you want to adjust your personalized advertising preferences, refer to the “Access and Choice” section below. Access and Choice You can view, update, and delete certain information about your account and your interactions with AWS Offerings. See examples of information that you can access . If you cannot access or update your information yourself, you can always contact us for assistance. You have choices about the collection and use of your personal information. Many AWS Offerings include settings that provide you with options as to how your information is being used. You can choose not to provide certain information, but then you might not be able to take advantage of certain AWS Offerings. Account Information: If you want to add, update, or delete information related to your account, please go to the AWS Management Console . When you update or delete any information, we usually keep a copy of the prior version for our records. Communications: If you do not want to receive promotional messages from us, please unsubscribe or adjust your communication preferences in the AWS Management Console or the AWS Email Preference Center . If you do not want to receive in-app notifications from us, please adjust your notification settings in the app or your device. Advertising: If you are located in the United States, you may opt-out of personalized advertising, including cross-context behavioral advertising, by clicking the “Your Privacy Choices” link in the footer of the AWS site you’re visiting and following the instructions presented. If you are located outside the United States, you may adjust your personalized advertising preferences by filling out the Your Privacy Choices and by following the Cookie Preferences instructions below. Cookies Preferences: You can change your cookie preferences on AWS sites at any time by clicking Cookie Preferences in the footer of the AWS site. You can also manage cookies through your browser settings. The "Help" feature on most browsers and devices will tell you how to remove cookies from your device, how to prevent your browser or device from accepting new cookies, how to have the browser notify you when you receive a new cookie, or how to disable cookies altogether. Sellers and Amazon Partners: Sellers and Amazon Partner Network members can add, update, or delete information in the AWS Marketplace and APN Partner Central , respectively. Children’s Personal Information We don’t provide AWS Offerings for purchase by children. If you’re under 18, you may use AWS Offerings only with the involvement of a parent or guardian. Third Party Sites and Services AWS Offerings may embed content provided by others or include links to other websites and applications. These companies may collect information about you when you interact with their content or services. We are not responsible for the practices of these companies. Please consult their privacy policies to learn about their data practices. Retention of Personal Information We keep your personal information to enable your continued use of AWS Offerings, for as long as it is required in order to fulfill the relevant purposes described in this Privacy Notice, as may be required by law (including for tax and accounting purposes), or as otherwise communicated to you. How long we retain specific personal information varies depending on the purpose for its use, and we will delete your personal information in accordance with applicable law. Contacts, Notices, and Revisions If you have any concerns about privacy at AWS, please contact us with a thorough description, and we will try to resolve the issue for you. For any prospective or current customers of Amazon Web Services, Inc., our mailing address is: Amazon Web Services, Inc., 410 Terry Avenue North, Seattle, WA 98109-5210, ATTN: AWS Legal Contact details for specific jurisdictions including the European Economic Area, the UK and Switzerland, can be found in “Additional Information for Certain Jurisdictions” below. If you interact with AWS Offerings on behalf of or through your organization, then your personal information may also be subject to your organization’s privacy practices, and you should direct privacy inquiries to your organization. Our business changes constantly, and our Privacy Notice may also change. You should check our website frequently to see recent changes. You can see the date on which the latest version of this Privacy Notice was posted. Unless stated otherwise, our current Privacy Notice applies to all personal information we have about you and your account. We stand behind the promises we make, however, and will never materially change our policies and practices to make them less protective of personal information collected in the past without informing affected customers and giving them a choice. EU-US Data Privacy Framework, UK Extension, and Swiss-US Data Privacy Framework Amazon Web Services, Inc. participates in the EU-US Data Privacy Framework, the UK Extension to the EU-US Data Privacy Framework, and the Swiss-US Data Privacy Framework. Learn more about the EU-US Data Privacy Framework, UK Extension, and Swiss-US Data Privacy Framework . Additional Information for Certain Jurisdictions We provide additional information about our controllers and data protection officers (as applicable), the privacy, collection, and use of personal information of prospective and current customers of AWS Offerings located in certain jurisdictions. Brazil Controller of Personal Information. When Amazon AWS Serviços Brasil Ltda. is the provider of an AWS Offering, Amazon AWS Serviços Brasil Ltda., A. Presidente Juscelino Kubitschek, 2.041, Torre E - 18th and 19th Floors, Vila Nova Conceicao, Sao Paulo, is the data controller of personal information collected or processed through the AWS Offering. The data protection officer for Amazon AWS Serviços Brasil Ltda. can be contacted at aws-brazil-privacy@amazon.com. Processing . We process your personal information on one or more of the following legal bases: as necessary to enter into a contract with you or a legal entity you represent, to perform our contractual obligations, to provide AWS Offerings, to respond to requests from you, or to provide customer support; where we have a legitimate interest, as described in this Privacy Notice (see How We Use Personal Information above); as necessary to comply with relevant law and legal obligations, including to respond to lawful requests and orders; or with your consent. Your Rights . Subject to applicable law, you have the right to: ask whether we hold personal information about you and request copies of such personal information and information about how it is processed; request that inaccurate personal information is corrected; request deletion of personal information that is no longer necessary for the purposes underlying the processing, processed based on withdrawn consent, or processed in non-compliance with applicable legal requirements; request us to restrict the processing of personal information where the processing is inappropriate; object to the processing of personal information; request portability of personal information that you have provided to us (which does not include information derived from the collected information), where the processing of such personal information is based on consent or a contract with you and is carried out by automated means; and request information about the possibility of refusing consent and the consequences of doing so. If you wish to do any of these things and you are an AWS customer, please contact us through your AWS Account. If you are not an AWS customer, please fill out a request form or send us a letter at Amazon AWS Serviços Brasil Ltda., A. Presidente Juscelino Kubitschek, 2.041, Torre E - 18th and 19th Floors, Vila Nova Conceicao, Sao Paulo. You can also file a complaint with Brazil’s National Data Protection Authority (ANPD) through its official channels. When you consent to our processing of your personal information for a specified purpose, you may withdraw your consent at any time, and we will stop any further processing of your data for that purpose. Transfers outside of Brazil. When we transfer your personal information outside Brazil, we do so in accordance with the terms of this Privacy Notice and applicable data protection law. Canada Your Rights. Subject to applicable law, you have the right to: ask whether we hold personal information about you and request copies of such personal information and information about how it is processed; request that inaccurate personal information is corrected; request deletion of personal information that is no longer necessary for the purposes underlying the processing, processed based on withdrawn consent, or processed in non-compliance with applicable legal requirements; and lodge a complaint with us regarding our practices related to your personal information. If you wish to do any of these things and you are an AWS customer, please contact us through your AWS Account. If you are not an AWS customer, please fill out a request form or send us a letter at 120 Bremner Blvd, 26th Floor, Toronto, Ontario, M5J 0A8, Canada, ATTN: AWS Canada Legal. Further, the Amazon Web Services Canada, Inc. Privacy Officer can be contacted at aws-canada-privacy@amazon.co m or by mail at the address noted above. When you consent to our processing your personal information for a specified purpose, you may withdraw your consent at any time, and we will stop any further processing of your data for that purpose. Costa Rica Your Rights. With respect to data collected and processed by Amazon Web Services Costa Rica (“AWS Costa Rica”), you have the rights of access, rectification, erasure, restriction, or complaint. When you consent to AWS Costa Rica processing your personal information for a specified purpose, you may withdraw your consent at any time and AWS Costa Rica will stop any further processing of your data for that purpose . If you wish to do any of these things and you are an AWS customer, please contact us through your AWS Account. If you are not an AWS customer, please send us a letter at Zona Franca America, Edificio C7. 600 norte de Plaza Real Cariari, sobre la paralela a la Autopista General Cañas. San Francisco de Heredia, Costa Rica. European Economic Area, UK, and Switzerland Controller of Personal Information. When Amazon Web Services EMEA SARL is the provider of an AWS Offering, Amazon Web Services EMEA SARL, 38 Avenue John F. Kennedy, L-1855, Luxembourg, is the data controller of personal information collected or processed through the AWS Offering. Amazon Web Services EMEA SARL is also the authorized representative of Amazon Web Services, Inc. in the EEA. Processing. We process your personal information on one or more of the following legal bases: as necessary to enter into a contract with you or a legal entity you represent, to perform our contractual obligations, to provide AWS Offerings, to respond to requests from you, or to provide customer support; where we have a legitimate interest, as described in this Privacy Notice (see How We Use Personal Information above); as necessary to comply with relevant law and legal obligations, including to respond to lawful requests and orders; or with your consent. Information We Retain After Your Account is Closed. After account closure, we may need to keep certain information for an additional period of time for legal and legitimate business purposes. For example, we may retain personal information such as your contact information (for example, name, email address, physical address) and any invoices that AWS has sent to you (for example, record of purchases, applicable discounts, and tax information) for tax and accounting purposes. If applicable, AWS may also retain records of communications with you, as well as relevant logs (for example, a log of your account closure) for dispute resolution purposes. We may further keep records for preventing fraud and ensuring security, for example in case of misuse of our services or violation of our terms. Your Rights. Subject to applicable law, you have the right to: ask whether we hold personal information about you and request copies of such personal information and information about how it is processed; request that inaccurate personal information is corrected; request deletion of personal information that is no longer necessary for the purposes underlying the processing, processed based on withdrawn consent, or processed in non-compliance with applicable legal requirements; request us to restrict the processing of personal information where the processing is inappropriate; object to the processing of personal information; and request portability of personal information that you have provided to us (which does not include information derived from the collected information), where the processing of such personal information is based on consent or a contract with you and is carried out by automated means. Advertising. To help you receive more useful and relevant ads on other sites and services and to measure their effectiveness, AWS shares limited personal information with our advertising partners. If you provide your consent, we use advertising cookies and similar technologies. You can withdraw your consent by clicking on the “Cookie Preferences” link presented in the footer of the AWS website you’re visiting. We may also share a unique code derived from your contact information (such as a hashed email address) with our advertising partners. We don’t share your name or other information that directly identifies you when we do this. We rely on our legitimate interests for this processing, including to help you find and discover features, products, and services that might be of interest to you. You may adjust your personalized advertising preferences by filling out the Your Privacy Choices form . Questions and Contacts. If you wish to do any of these things or have a data-protection related question, and you are an AWS customer, please contact us through your AWS Account.. If you are not an AWS customer, please fill out a request form . The data protection officer for Amazon Web Services EMEA SARL can be contacted at aws-EU-privacy@amazon.com. You can also lodge a complaint with our principal supervisory authority, the Commission Nationale pour la Protection des Données in Luxembourg , or with a local authority. When you consent to our processing your personal information for a specified purpose, you may withdraw your consent at any time, and we will stop any further processing of your data for that purpose. Cookies. Please refer to our Cookie Notice . Transfers outside of the EEA . When we transfer your personal information outside the EEA we do so in accordance with the terms of this Privacy Notice and applicable data protection law. India For any prospective or current customers of Amazon Web Services India Private Limited (formerly known as Amazon Internet Services Private Limited), our mailing address is: Amazon Web Services India Private Limited, Block E, 14th Floor, Unit Nos. 1401 to 1421, International Trade Tower, Nehru Place, New Delhi, Delhi 110019, India, ATTN: AWS India Legal. Japan Controller of Personal Information Any personal information provided to or gathered by Amazon Web Services Japan G.K. is controlled primarily by Amazon Web Services Japan G.K., 3-1-1 Kamiosaki, Shinagawa-ku, Tokyo 141-0021 JAPAN. Any personal information collected by Amazon Web Services, Inc. is controlled primarily by Amazon Web Services, Inc. Use of Personal Information We jointly use your personal information for such purposes as described in this Privacy Notice with domestic and foreign affiliates that Amazon.com, Inc. controls, including Amazon Web Services, Inc., Amazon Web Services Japan G.K., Amazon Web Services EMEA SARL, and other global entities that either are subject to this Privacy Notice or follow practices at least as protective as those described in this Privacy Notice. Jointly used personal information includes personal information described under “Personal Information We Collect” and “Example of Information Collected” above. Amazon Web Services, Inc. is the business operator primarily responsible for managing jointly used personal information. We share personal information with third parties only to the extent described under “How We Share Personal Information” above and in accordance with the Act on Protection of Personal Information. When we share your personal information with third parties outside of Japan, such as sellers of products on AWS Marketplace and sponsors of AWS events, we require the recipients to adopt personal information security measures to protect your personal information. Learn more about the countries where third parties may be located, and the applicable data privacy laws and data protection systems in these countries. Your Rights You may have the right to request access to or delete your personal information in accordance with applicable law. If you wish to submit a data subject access request, please contact us through your AWS Account (for AWS customers) or send us a letter at Amazon Web Services Japan G.K., 3-1-1 Kamiosaki, Shinagawa-ku, Tokyo 141-0021 JAPAN, ATTN: AWS Japan Legal (for current or prospective customers of Amazon Web Services Japan G.K. and non-customers in Japan). Malaysia You may visit the Bahasa Malaysia translation of this Privacy Notice . Nigeria Controller of Personal Information . With respect to personal information provided to Amazon Web Services Nigeria Limited, located at 3-5 Sinari Daranijo Street, Off Ajose Adeogun, Victoria Island, Lagos, Nigeria (“AWS Nigeria”), AWS Nigeria is the data controller. Your Rights . Subject to applicable law, you have the right to: ask whether we hold personal information about you and request copies of such personal information and information about how it is processed; request that inaccurate personal information is corrected; request deletion of personal information that is no longer necessary for the purposes underlying the processing, processed based on withdrawn consent, or processed in non-compliance with applicable legal requirements; request us to restrict the processing of personal information where the processing is inappropriate; object to the processing of personal information; request portability of personal information that you have provided to us (which does not include information derived from the collected information), where the processing of such personal information is based on consent or a contract with you and is carried out by automated means; and request information about the possibility of refusing consent and the consequences of doing so. If you wish to do any of these things and you are an AWS Nigeria customer, please contact us through your AWS Account. If you are not an AWS customer, please fill out a request form . You can also file a complaint with Nigeria’s National Information Technology Development Agency through its official channels. When you consent to our processing your personal information for a specified purpose, you may withdraw your consent at any time, and we will stop any further processing of your data for that purpose. Peru Controller of Personal Information. With respect to personal information provided to Amazon Web Services Peru S.R.L., located at Av. Jorge Basadre 349 San Isidro, Lima (“AWS Peru”), AWS Peru is the data controller and the personal data bank holder of the following data banks: customers, prospective customers, and vendors. Personal Information. Depending on how you engage with AWS Peru, we may process one or more of the following kinds of personal information: name, identity card number, Tax ID, contact information (such as address, telephone, email address), profession, banking and credit card details, and physical or electronic signature. Learn more about the personal information that we collect . Your Rights . Subject to applicable law, you have the right to: ask whether we hold personal information about you and request copies of such personal information and information about how it is processed; request that inaccurate personal information is corrected; request deletion of personal information that is no longer necessary for the purposes underlying the processing, processed based on withdrawn consent, or processed in non-compliance with applicable legal requirements; request us to restrict the processing of personal information where the processing is inappropriate; object to the processing of personal information; and exercise any other rights afforded by the Peruvian Personal Data Protection Regulations. If you wish to do any of these things and you are an AWS Peru customer, please contact us through your AWS Account. If you are not an AWS customer, please fill out an AWS Data Subject Rights Request form or send a letter to Amazon Web Services Peru S.R.L., Av. Jorge Basadre 349 San Isidro, Lima. You can also file a complaint before the Peruvian National Data Protection Authority through its official channels. Data Processors and Transfers to Third Parties. We may share your personal information as described in this Privacy Notice and as permitted by the Peruvian Personal Data Protection Regulations, including to Amazon Web Services Inc., located at 410 Terry Avenue North, Seattle, WA 98109-5210, United States of America, for the purposes of providing services and engaging in marketing, business development, and sales efforts with respect to cloud services that Amazon Web Services, Inc. sells globally; and enabling the provision of data hosting, storage, and processing by Amazon Web Services, Inc. as AWS Peru’s data processor. Philippines With respect to personal information provided to Amazon Web Services Philippines, Inc. (“AWS Philippines”), you may contact the Data Protection Officer (“DPO”) and Data Compliance Officer for Privacy (“COP”) if you are an AWS Philippines customer. If you are not an AWS customer, you may contact the DPO and COP at 21st floor Arthaland Century Pacific Tower, 5th Avenue 1634 Bonifacio Global City, Taguig, Philippines. South Africa Controller of Personal Information . With respect to personal information provided to Amazon Web Services South Africa Proprietary Limited, located at 29 Gogosoa Street, Observatory, Cape Town, South Africa, 7925 (“AWS South Africa”), AWS South Africa is the responsible party. Your Rights . Subject to applicable law, you have the right to: request that inaccurate personal information is corrected; request deletion of personal information that is no longer necessary for the purposes underlying the processing, processed based on withdrawn consent, or processed in non-compliance with applicable legal requirements; object, at any time to the processing of your personal information for purposes of direct marketing other than direct marketing by means of unsolicited electronic communications from AWS which is prohibited unless you give consent to receive such direct marketing; object, at any time (at which point we will cease processing of your personal information), to the processing of your personal information if you feel the processing of that personal information is not necessary for protection of your legitimate interest/s; proper performance of a public law duty by a public body; or pursuance of the legitimate interests of AWS or of a third party to whom the information is supplied; and to submit a complaint to the Information Regulator of South Africa regarding interference with the protection of your personal information. If you wish to do any of these things and you are an AWS South Africa customer, please contact us through your AWS Account. If you are not an AWS customer, please fill out a request form or send us a letter at Amazon Web Services South Africa Proprietary Limited, located at 29 Gogosoa Street, Observatory, Cape Town, South Africa, 7925. The Information Regulator Contact Details. The Information Regulator of South Africa is located at: JD House, 27 Stiemens Street, Braamfontein, Johannesburg, 2001. P.O. Box 31533, Braamfontein, Johannesburg, 2017. You may direct general enquiries by email to: enquiries@inforegulator.org.za . You may direct complaints by email to: POPIAComplaints@inforegulator.org.za . South Korea AWS does not knowingly collect personal information from children under the age of 14 without the consent of the child's parent or guardian. How We Share Personal Information AWS may share personal information as described in this Privacy Notice, including with affiliates of Amazon Web Services, Inc. AWS has contracts in place with the following third-party service provider(s) (delegatees) to perform functions on behalf of AWS in Korea, and they may have access to your personal information as needed to perform their functions described below: Name of Party Description of Function BusinessOnCommunication Co., ltd. Payment invoicing Marketo Customer communications NHN KCP Corp. Payment instrument processing and invoicing Paymentech Payment instrument processing Salesforce Customer relationship management The details of delegation for event management can be found on the relevant event page. AWS may share your personal information with the following third-party service provider(s) (delegatees) outside of Korea as described below: Name of Party (Contact Information) Country Transferred Items Purpose of Transfer Date and Method of Transfer Period of Retention Marketo (privacyofficer@marketo.com) United States Personal information necessary for customer communications (including your name, email address, physical address, phone number, and other similar contact information) Customer communications Transmission of data through information network as needed As disclosed in the Privacy Notice Salesforce (privacy@salesforce.com) United States Personal information necessary for customer relationship management (including your name, email address, physical address, phone number, and other similar contact information) Customer relationship management Transmission of data through information network as needed As disclosed in the Privacy Notice Paymentech (+1-800-935-9935) United States Personal information necessary for payment instrument processing (including credit card number and expiration dates) Payment instrument processing Transmission of data through information network as needed As disclosed in the Privacy Notice If you do not agree with the above-stated overseas transfers, please stop using AWS Services and close your AWS Account. Deletion of Personal Information AWS will delete your personal information (including after closure of your AWS account) as described in this Privacy Notice. When deleting personal information, AWS will take standard commercially reasonable measures to make the personal information practically irrecoverable or irreproducible. The specific manner of deletion will depend on the information being deleted, how the information was collected and stored, and your interactions with us. Electronic documents or files containing personal information will be deleted using a technical method that makes recovery or retrieval of such information practically impossible or renders the data no longer personally identifiable. Non-electronic documents or files containing personal information will be shredded, incinerated, or both. Retention of Personal Information AWS Korea keeps your personal information to enable your continued use of AWS Offerings, for as long as it is required in order to fulfill the relevant purposes described in this Privacy Notice, as may be required by law (including for tax and accounting purposes as may be required by the Framework Act on National Taxes of Republic of Korea or other laws), or as otherwise communicated to you. How long we retain specific personal information varies depending on the purpose for its use, and we will delete your personal information in accordance with applicable law. Contact Information of Department Handling Complaints Relating to Privacy If you have any privacy questions or requests please contact: AWS Korea Privacy Email: aws-korea-privacy@amazon.com You may visit the Korean translation of this Privacy Notice . Turkey Controller of Personal Information . When AWS Turkey Pazarlama Teknoloji ve Danışmanlık Hizmetleri Limited Şirketi is the provider of an AWS Offering, AWS Turkey Pazarlama Teknoloji ve Danışmanlık Hizmetleri Limited Şirketi, located at Esentepe Mahallesi Bahar Sk. Özdilek/River Plaza/Wyndham Grand Hotel Apt. No: 13/52 Şişli/İstanbul, Turkey, is the data controller of personal information collected or processed through the AWS Offering. United States These additional disclosures are required by certain state privacy laws to the extent they apply to your use of AWS Offerings, and serve as a Notice at Collection under the California Privacy Rights Act. Information about our customers is an important part of our business and we are not in the business of selling our customers’ personal information to others. Categories of personal information collected. The personal information that we may collect, or may have collected from consumers in the preceding twelve months, falls into the following categories established by the California Privacy Rights Act and other state privacy laws, depending on how you engage with the AWS Offerings: identifiers, such as your name, alias, address, phone numbers, or IP address, your AWS account log-in information, or a government-issued identifier (such as a state-issued ID number, which may be required to verify your identity when completing certain AWS certification courses, or an ID you provide for identity verification, which in some cases may reflect citizenship or immigration status); personal information as described in subdivision (e) of Section 1798.80 of the California Civil Code, such as a credit card number or other payment information; characteristics of protected classifications under California or US federal law, such as age, race, or gender or gender identity, for example if we conduct user surveys or analysis; commercial information, such as purchase activity; internet or other electronic network activity information, including content interaction information, such as content downloads, streams, and playback details; information used to prevent and detect fraud or other unauthorized activity, including informing customers if such activity were to affect them; biometric information, such as your voice or appearance, for example if you choose to participate in a demonstration of a speech or image recognition service; geolocation data, which may in some cases constitute precise geolocation information, such as the location of your device or computer, for example if you enable location services to enhance your experience through event applications we offer; audio, visual, electronic or other similar information, including when you communicate with us by phone or otherwise; professional or employment-related information, for example data you may provide about your business; inference data, such as information about your preferences; and education information, such as information about enrollment status, fields of study, or degrees, honors, and awards received. We collect this information from you, automatically through your interaction with the AWS Offerings, or from third parties. Learn more about the personal information we collect . We collect this information for the business and commercial purposes described in the “How We Use Personal Information” section above. Categories of personal information disclosed for a business purpose. The personal information that we may have disclosed about consumers for a business purpose in the preceding twelve months falls into the following categories established by the California Privacy Rights Act and other state privacy laws, depending on how you engage with the AWS Offerings: Identifiers, such as your name, address, or phone numbers, for example if we use a third-party carrier to deliver AWS hardware, or government identifier or certain types of ID you provide for identity verification, which may in some cases reflect your citizenship or immigration status, for example if we use a third-party service to verify your identity; personal information as described in subdivision (e) of Section 1798.80 of the California Civil Code, such as a credit card number or other payment information, for example if we use a third-party payment processor; information that may reveal your age, gender or gender identity, race, or other protected classifications under California or US federal law, for example if we conduct user surveys or analyses using a third-party service provider; commercial information, such as the details of a product or service you purchased if a third-party service provider assists in providing that product or service to you; internet or other electronic network activity information, such as if we use a third-party service provider to help us gather reports for analyzing the health of our devices and services; information relating to our prevention and detection of unauthorized activity, such as attempted fraud; biometric information, for example if you choose to participate in a demonstration of certain AWS services facilitated by a third-party service provider; geolocation data, which may constitute precise geolocation data, for example if we enable transportation services from a third party in connection with an AWS event; audio, visual, electronic or other similar information, for example if a third-party service provider reviews recordings of customer support phone calls for quality assurance purposes; professional or employment-related information, for example if we provide information to a third-party service provider for verification or registration as part of the AWS Offerings; education information, for example if we facilitate employment or internship recruitment activities for participants in the AWS Educate program; and inference data, for example if we use a third-party service provider to store information about your preferences. Learn more about the personal information we may disclose for a business purpose. Advertising. To help ensure you receive more useful and relevant ads on other sites and services and to measure their effectiveness, AWS shares limited personal information with our advertising partners. We don’t share your name or other information that directly identifies you when we do this. Any personal information AWS may share for the purpose of cross-context behavioral advertising, as those terms are defined by the California Privacy Rights Act, or processes for the purposes of targeted advertising as that term is defined in other state privacy laws, above falls into the following categories: identifiers such as a cookie, or a hashed value derived from your contact information, such as your email address; internet or other electronic network activity information, such as web browser information, pages viewed, or links clicked, via cookies and similar technologies. AWS does not knowingly share personal information about consumers who are under the age of 18. Your Data Rights . You may have certain data rights under state privacy laws, including to request information about the collection of your personal information by us, to access your personal information in a portable format, and to correct or delete your personal information. If you wish to do any of these things and you are an AWS customer, please contact us through your AWS Account. If you are not an AWS customer, or you are an authorized agent under applicable state law, please fill out a request form or send us a letter at Amazon Web Services, Inc., 410 Terry Avenue North, Seattle, WA 98109-5210, ATTN: AWS Legal. Additionally, you may have the right to opt out of the processing of your personal data for cross-context behavioral advertising (also referred to as targeted advertising under certain state privacy laws). To do so, please click on the Your Privacy Choices link in the footer of the AWS website that you’re visiting and follow the instructions presented. You can also opt out of such advertising based on cookies or similar technologies by visiting our websites with a legally recognized opt-out preference signal, such as the Global Privacy Control, enabled. You may have the right to appeal the denial of any of these rights by submitting a form that will be provided to you if we deny a data request. Depending on your data choices, certain services may be limited or unavailable. To ensure the security of your AWS account, we will generally ask you to verify your request using the contact information you have already provided. If you are an authorized agent making a request on behalf of a consumer pursuant to applicable state law, we may ask you to provide information verifying you have proper authority to make the request on behalf of the consumer or we may ask the consumer to verify their identity with us directly. De-identified Data Disclosure. AWS may use de-identified data in some instances. AWS either maintains such data without attempting to re-identify it or treats such data as personal data subject to applicable law. California Privacy Rights Act Sensitive Personal Information Disclosure. The categories of data that we collect and disclose for a business purpose include “sensitive personal information” as defined under the California Privacy Rights Act. We do not use or disclose sensitive personal information for any purpose not expressly permitted by the California Privacy Rights Act. California Privacy Rights Act and Minnesota Consumer Data Privacy Act . To enable your continued use of AWS Services, we keep your personal information for as long as it is required in order to fulfill the relevant purposes described in this AWS Privacy Notice, as permitted or as may be required by law, or as otherwise communicated to you. California Privacy Rights Act Non-Discrimination Statement . We will not discriminate against any consumer for exercising their rights under the California Privacy Rights Act. Colorado Privacy Act and Oregon Privacy Act Profiling Disclosure. We do not engage in profiling of consumers in furtherance of automated decisions that produce legal or similarly significant effects, as those terms are defined under the Colorado Privacy Act or the Oregon Privacy Act. New Jersey Notice of Material Change Disclosure. If we make material changes to our Privacy Notice, we will provide affected customers with advance notice of the change, such as by email, on our website or via their account. Examples of Information Collected Information You Give Us You provide information to us when you: search for, subscribe to, or purchase AWS Offerings; create or administer your AWS account (and you might have more than one account if you have used more than one email address when using AWS Offerings); configure your settings for, provide data access permissions for, or otherwise interact with AWS Offerings; register for or attend an AWS event; purchase or use content, products, or services from third-party providers through the AWS Marketplace (or other similar venues operated or provided by us); offer your content, products, or services on or through AWS Offerings or the AWS Marketplace (or other similar venues operated or provided by us); communicate with us by phone, email, or otherwise; complete a questionnaire, a support ticket, or other information request forms; post on AWS websites or participate in community features; and employ notification services. Depending on your use of AWS Offerings, you might supply us with such information as: your name, email address, physical address, phone number, and other similar contact information; payment information, including credit card and bank account information; information about your location; information about your organization and your contacts, such as colleagues or people within your organization; usernames, aliases, roles, and other authentication and security credential information; content of feedback, testimonials, inquiries, support tickets, and any phone conversations, chat sessions and emails with or to us; your image (still, video, and in some cases 3-D), voice, and other identifiers that are personal to you when you attend an AWS event or use certain AWS Offerings; information regarding identity, | 2026-01-13T08:48:28 |
https://dev.to/adventuresinangular/angulars-custom-form-components-aia-366#main-content | Angular's Custom Form Components - AiA 366 - DEV Community Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. DUMB DEV Community Follow Memes and software development shitposting Design Community Follow Web design, graphic design and everything in-between Security Forem Follow Your central hub for all things security. From ethical hacking and CTFs to GRC and career development, for beginners and pros alike Golf Forem Follow A community of golfers and golfing enthusiasts Crypto Forem Follow A collaborative community for all things Crypto—from Bitcoin to protocol development and DeFi to NFTs and market analysis. Parenting Follow A place for parents to the share the joys, challenges, and wisdom that come from raising kids. We're here for them and for each other. Forem Core Follow Discussing the core forem open source software project — features, bugs, performance, self-hosting. Maker Forem Follow A community for makers, hobbyists, and professionals to discuss Arduino, Raspberry Pi, 3D printing, and much more. HMPL.js Forem Follow For developers using HMPL.js to build fast, lightweight web apps. A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account DEV Community Close Adventures in Angular Follow Angular's Custom Form Components - AiA 366 Jan 19 '23 play Charles, Lucas, and Subrat take on this week's panelist episode as they tackle all about Custom Form Components. Lucas starts off the episode by explaining different methods on how you can effortlessly and with ease create custom form components. Subrat also shares his own insight on some other techniques for creating forms depending on how complex your form is. Moreover, they discuss integrating custom form components with Angular forms API. On Youtube Angular's Custom Form Components - AiA 366 Sponsors Chuck's Resume Template Developer Book Club starting with Clean Architecture by Robert C. Martin Become a Top 1% Dev with a Top End Devs Membership Links Control Value Accessor: Custom Form Components in Angular | Academy | Lucas Paganini Code example: published-content/control-value-accessor at master · LucasPaganini/published-content · GitHub Web Animations Course: lucaspaganini.com/web-animations Hire Web Development Experts: unvoid.com Angular Remote Conference Picks Charles - Forbidden Sky Charles - RedCircle Lucas - Under Armour 2L Stainless Steel Water Bottle Subrat - You-Dont-Know-JS Advertising Inquiries: https://redcircle.com/brands Privacy & Opt-Out: https://redcircle.com/privacy Episode source Personal Trusted User Create template Templates let you quickly answer FAQs or store snippets for re-use. Submit Preview Dismiss Your browser does not support the audio element. 1x initializing... × 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV DEV Community — A space to discuss and keep up software development and manage your software career Home DEV++ Podcasts Videos DEV Education Tracks DEV Challenges DEV Help Advertise on DEV DEV Showcase About Contact Free Postgres Database Software comparisons Forem Shop Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails . DEV Community © 2016 - 2026. We're a place where coders share, stay up-to-date and grow their careers. Log in Create account | 2026-01-13T08:48:28 |
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A Follow button consists of two parts: a link to a follow web intent page on x.com and the X for Websites JavaScript to transform the link into our recognizable Follow button. Follow @NASA How to add a Follow button to your website The publish.twitter.com website includes a simple tool to generate the embed for a Follow button to copy-and-paste into your website template. Just enter a @screenName to get started. Manually 1. Create an anchor element with a twitter-follow-button class name. Set the href attribute value pointing to a X profile URL. <a class="twitter-follow-button" href="https://twitter.com/TwitterDev"> Follow @TwitterDev</a> 2. Customize Follow button parameters using data-* attributes. <a class="twitter-follow-button" href="https://twitter.com/TwitterDev" data-size="large"> Follow @TwitterDev</a> 3. Asynchronously load the X for Websites JavaScript using our loading snippet. The script will initialize the Follow button after your page content loads. Button customization Hide username Hide the username from the displayed Follow button by setting a data-show-screen-name attribute value of false . Default Follow @TwitterDev Show screen name false Follow @TwitterDev Large button style Add a data-size attribute value of large to display a larger Follow button. Default Follow @TwitterDev Large Follow @TwitterDev <path opacity="0" d="M0 0h24v24H0z" /> <path d="M20.207 7.043c-.39-.39-1.023-.39-1.414 0L12 13.836 5.207 7.043c-.39-.39-1.023-.39-1.414 0s-.39 1.023 0 1.414l7.5 7.5c.195.195.45.293.707.293s.512-.098.707-.293l7.5-7.5c.39-.39.39-1.023 0-1.414z" /> </svg>"> Developer policy and terms Follow @XDevelopers Subscribe to developer news X platform X.com Status Accessibility Embed a post Privacy Center Transparency Center Download the X app Try Grok.com X Corp. 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https://stackoverflowteams.help/?utm_source=blog&utm_medium=referral&utm_campaign=footer | Stack Overflow Internal Help Center Skip to main content English English English English Help & Best Practices Search for articles... All Products Articles for Stack Overflow for Teams Free, Basic, Business, and Enterprise By Joel and 4 others 5 authors 54 articles Teams Free, Basic, Business Articles for Stack Overflow for Teams Free, Basic, and Business By Joel and 3 others 4 authors 52 articles Enterprise Articles for Stack Overflow for Teams Enterprise By Joel and 4 others 5 authors 81 articles Stack Overflow for Teams University Get up to speed quickly with these brief, helpful tutorial videos. By Loren 1 author 1 article Click here to open a ticket with Stack Overflow support | 2026-01-13T08:48:28 |
https://developer.x.com/developer-terms/policy#4-k | Developer Policy – X Developers | X Developer Platform <g> <g> <defs> <rect id="SVGID_1_" x="-468" y="-1360" width="1440" height="3027" /> </defs> <clippath id="SVGID_2_"> <use xlink:href="#SVGID_1_" style="overflow:visible;" /> </clippath> </g> </g> <rect x="-468" y="-1360" class="st0" width="1440" height="3027" style="fill:rgb(0,0,0,0);stroke-width:3;stroke:rgb(0,0,0)" /> <path d="M13.4,12l5.8-5.8c0.4-0.4,0.4-1,0-1.4c-0.4-0.4-1-0.4-1.4,0L12,10.6L6.2,4.8c-0.4-0.4-1-0.4-1.4,0c-0.4,0.4-0.4,1,0,1.4 l5.8,5.8l-5.8,5.8c-0.4,0.4-0.4,1,0,1.4c0.2,0.2,0.4,0.3,0.7,0.3s0.5-0.1,0.7-0.3l5.8-5.8l5.8,5.8c0.2,0.2,0.5,0.3,0.7,0.3 s0.5-0.1,0.7-0.3c0.4-0.4,0.4-1,0-1.4L13.4,12z" /> </svg>" data-icon-chevron-right="<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewbox="0 0 24 24" aria-hidden="true" focusable="false" role="none" class="twtr-icon"> <path opacity="0" d="M0 0h24v24H0z" /> <path d="M17.207 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We’re delighted and amazed by the tools and services this community creates by harnessing the power of X data. As part of our commitment to this community, we aim to provide data access that is open and fair for developers, safe for people on X, and beneficial for the X platform as a whole. To further these goals we’ve crafted the Developer Policy as a guide to help people understand our rules and expectations about appropriate API and X Content usage. This Developer Policy (“ Policy ”) provides rules and guidelines for developers who interact with X’s ecosystem of applications, services, website, web pages and content. It is part of your contract with X governing access to and use of the X API and X Content (either as part of the Developer Agreement or other written agreement with X). Policy violations are considered violations of your agreement. This Policy may be changed from time to time without notice. Capitalized terms used in this Policy, which are not defined in this Policy, will have the respective meanings ascribed to them in the Developer Agreement or the Master License Agreement. Using this policy We’ve structured this policy to make it as easy to follow as possible. Please keep information from the following policy sections top of mind as you use the X API and X Content: 1. Set Yourself Up for Success - You are responsible for complying with all X policies. It’s important that you review and understand this Policy, as well as the policies we link to in this document, before you access the X API and X Content. The time spent reviewing our policies may save you hours of rework down the road. 2. Privacy and Control are Essential - Protecting and defending the privacy of people on X is built into the core DNA of our company. As such, we prohibit the use of X data in any way that would be inconsistent with people’s reasonable expectations of privacy. By building on the X API or accessing X Content, you have a special role to play in safeguarding this commitment, most importantly by respecting people’s privacy and providing them with transparency and control over how their data is used. 3. Follow the Platform Usage Guidelines - Getting approved to access the X API and X Content is just the first step. Our Platform Usage Guidelines should be your first stop anytime you have questions about how to ensure policy compliance for your planned use of the X platform. We’ve provided a lot more detail on what each of these three key sections mean below. Please review them carefully to ensure that your usage of the X API and X Content is consistent with our policies. If we believe you are in violation of this Policy (or any other X policy), we may suspend or permanently revoke your access to the X API and X Content. Finally, please note that X may monitor your use of the X API to improve the X Applications, to examine any commercial use, and to ensure your compliance with your approved use case and this Policy. Thanks for reading, and thank you for building with us! We look forward to seeing what you create! Chapter 1 Set yourself up for success Set yourself up for success Set yourself up for success Set yourself up for success You can avoid many potential pitfalls while using the X API by ensuring that your service has been built the right way from day 1. This section of the Developer Policy contains rules that all developers must follow before using the X API or X Content. The Free, Basic, and Pro plans (as described at developer.x.com/en ) are designed for hobbyists, commercial prototyping, early-stage X product integrations, and supporting applications with limited end-users. If you use the X API and X Content beyond this scope, then you must apply (or already subscribe to) an Enterprise plan (as described at developer.x.com/en ). We review all proposed uses of the X developer platform to verify policy compliance — so you’re required to disclose (and update, as applicable) your planned use of the X API and X Content in order to be granted and to maintain access. All new developers must apply for a developer account to access the X API. Current developers without an approved developer account must apply for one as directed to do so by X. As part of this process, you’ll need to provide us with a written description of your intended uses of the X API and X Content. Your use case description is binding on you, and any substantive deviation from it may constitute a violation of our rules and result in enforcement action. You must notify us of any substantive modification to your use case and receive approval before you may begin using X Content for that new purpose. Failure to do so may result in suspension and termination of your API and data access. By building on the X API or accessing X Content, you must comply with ALL X policies. These include this Developer Policy , the Automation Rules , the Display Requirements , the API Restricted Uses Rules , the X Rules , and the X Brand Resources , as well as any other agreements you enter into with X relating to your use of the X API or X Content, including but not limited to the Developer Agreement or a Master Licensing Agreement or Order (as applicable). You must also comply with any modifications to these policies and any new policies launched by X. It is your responsibility to monitor the use of your service and to design your service to prevent violations of X policy by people who use it. Failure to do so may result in suspension or termination of your API and X Content access. You may not register multiple applications for a single use case or substantially similar or overlapping use cases. In this context, a “use case” is a consistent set of analyses, displays, or actions performed via an application. "White label" versions of a tool or service are not permissible. If you plan to “white label” versions of your application, you must notify and receive separate approval from us. As a single exception to these rules, you may create and use a maximum of 3 applications for development, staging, and production instances of the same service. These apps must be registered to a single account, and should be clearly identified (in the name and description) as dev, staging, and prod instances of a single service. You may not use development or staging applications for production purposes. You must keep all API keys or other access credentials private. You may not use, and may not encourage or facilitate others to use, API keys or other access credentials owned by others. Your license agreement with X limits your use of the X API and X Content. Among other things, the X API has rate limits which help to ensure fair data usage and to combat spam on the platform. You may not exceed or circumvent rate limits, or any other limitations or restrictions described in this Policy or your agreement with X, listed on the Developer Site , or communicated to you by X. You may not remove or alter any proprietary notices or marks on X Content received via the X API. This helps to make sure that people know where X Content is coming from, and who it belongs to. For data integrity and platform health reasons, you may not interfere with, intercept, disrupt, or disable any features of the X API or the X service. In other words, use the APIs as intended and documented on developer.x.com . Refer to our HackerOne guidelines for more details about acceptable use. Chapter 2 Privacy and control are essential Privacy and control are essential Consent & permissions Content compliance Off-X matching Your privacy policy Using geo-data X passwords Privacy and control are essential Consent & permissions Content compliance Off-X matching Your privacy policy Using geo-data X passwords Privacy and control are essential X takes privacy seriously, and we expect everyone using X Content and the X API to do the same. Any use of the X developer platform, X API, or X Content in a manner that is inconsistent with peoples’ reasonable expectations of privacy may be subject to enforcement action, which can include suspension and termination of API and X Content access. Your commitment to privacy and control must extend to all uses of X Content and all aspects of the service that you build using our API. To that end, the people using your service must understand and consent to how you use their data, and how you access X on their behalf. This can be accomplished through providing people with a clear, comprehensive, and transparent privacy policy, as well as ensuring that you get express and informed consent from each person using your service before taking any action on their behalf. Please note that a person authenticating into your service does not by itself constitute consent. Consent & permissions In particular, you must get express and informed consent from people before doing any of the following: Taking any actions on their behalf. This includes (but is not limited to): Posting content to X Following/unfollowing accounts Modifying profile or account information Adding hashtags or any other content to Posts Republishing content accessed by means other than via the X API or other X tools Using someone’s X Content to promote a product or service Storing non-public content such as Direct Messages (DMs), or any other private or confidential information Sharing or publishing protected content, or any other private or confidential information If your service allows people to post content to X you must do the following before publishing: Show exactly what will be published Make it clear to people using your service what geo information (if any) will be added to the content If your service allows people to post content to both your service and X, you must do the following before publishing: Obtain permission to post the content Explain where you will post the content You must respect the protected and blocked status of all X Content. You may not serve content obtained using one person’s authentication token to a different person who is not authorized to view that content. Protected accounts: A protected account ’s content is only available to people who have been approved by the owner to follow that account. So, if you run a service that accesses protected accounts, you may only do so to serve such content to the specific people with permission to view that content. Blocked accounts: People on X are able to block access to their accounts for any reason they choose. Commingling information obtained from tokens (or any other API-based action) to bypass this choice is not permitted. As Direct Messages (DMs) are non-public in nature, services that provide DM features must take extra steps to safeguard personal privacy. You may not serve DM content to people who are not authorized to view that content. If your service provides DM functionality you must also: Notify people if you send read receipt events for DMs. You can do this by providing a notice directly in your service, or by displaying read receipts from other participants in a conversation. Get consent before configuring media to be sent in a DM as "shared" (i.e. reusable across multiple DMs). If you do allow media in a DM to be “shared,” you must provide a clear notice that this content will be accessible to anyone with the media’s URL. Content compliance If you store X Content offline, you must keep it up to date with the current state of that content on X. Specifically, you must delete or modify any content you have if it is deleted or modified on X. This must be done as soon as reasonably possible, or within 24 hours after receiving a request to do so by X or the applicable X account owner, or as otherwise required by your agreement with X or applicable law. This must be done unless otherwise prohibited by law, and only then with the express written permission of X. Modified content can take various forms. This includes (but is not limited to): Content that has been made private or gained protected status Content that has been suspended from the platform Content that has had geotags removed from it Content that has been withheld or removed from X Off-X matching We limit the circumstances under which you may match a person on X to information obtained or stored off-X. Off-X matching involves associating X Content, including a X @handle or user ID, with a person, household, device, browser, or other off-X identifier. You may only do this if you have express opt-in consent from the person before making the association, or as described below. In situations in which you don’t have a person’s express, opt-in consent to link their Xidentity to an off-X identifier, we require that any connection you draw be based only on information that someone would reasonably expect to be used for that purpose. In addition, absent a person’s express opt-in consent you may only attempt to match your records about someone to a X identity based on: Information provided directly to you by the person. Note that records about individuals with whom you have no prior relationship, including data about individuals obtained from third parties, do not meet this standard; and/or Public data. “Public data” in this context refers to: Information about a person that you obtained from a public, generally-available resource (such as a directory of members of a professional association) Information on X about a person that is publicly available, including: Posts Profile information, including an account bio and publicly-stated location Display name and @handle Your privacy policy You must display your service’s privacy policy to people before they are permitted to download, install, or sign up to your service. It must disclose at least the following information: The information that you collect from people who use your service How you use and share that information (including with X) How people can contact you with inquiries and requests regarding their information Your privacy policy must be consistent with all applicable laws, and be no less protective of people than X’s Privacy Policy and the privacy policy of our other services and corporate affiliates . You must cease your access to the X API and the use of all X Content if you are unable to comply with your and/or X’s Privacy Policy. Using geo-data Use of geo data comes with additional restrictions due to the sensitive nature of this information. If your service adds location information to Posts, you must disclose to people: When you add location information Whether you add location information as a geotag or annotations data Whether your location information is listed as a place, or as geographic coordinates If your application allows people to post with their location you must comply with X’s geo guidelines in full. Any use of location data or geographic information on a standalone basis is prohibited. You may not (and may not permit others to) store, aggregate, or cache location data and other geographic information contained in X Content, except as part of a Post. For example, you may not separate location data or geographic information out from Posts to show where individuals have been over time. Heat maps and related tools that show aggregated geo activity (e.g., the number of people in a city using a hashtag) are permitted. X passwords You may not store X passwords, or request that people provide their X password, account credentials, or developer application information (including consumer key) to you directly. We suggest the use of Sign-in with X as the authentication tool to link your service and people on X. Chapter 3 Platform usage guidelines Platform usage guidelines Spam, bots, and automation X performance benchmarking Public display of Posts Content redistribution Pay to engage Service authenticy X name, logo, and likeness Advertising on X Platform usage guidelines Spam, bots, and automation X performance benchmarking Public display of Posts Content redistribution Pay to engage Service authenticy X name, logo, and likeness Advertising on X Platform usage guidelines Have you taken care to review X’s policies and set up your API access the right way? Does your service follow X’s privacy and control guidelines? If you can answer yes to these two questions, then you are ready to start using the X API and X Content. X’s Platform Usage Guidelines provide the assistance needed to ensure that your use of X Content is compliant from day 1 throughout the lifecycle of your service. We suggest reviewing these rules on a regular basis to make sure that your integration is operating in a way that is safe and beneficial to people on X and the X platform as a whole. Spam, bots, and automation The use of the X API and developer products to create spam, or engage in any form of platform manipulation, is prohibited. You should review the X Rules on platform manipulation and spam , and ensure that your service does not, and does not enable people to, violate our policies. Services that perform write actions, including posting Posts, following accounts, or sending Direct Messages, must follow the Automation Rules . In particular, you should: Always get explicit consent before sending people automated replies or Direct Messages Immediately respect requests to opt-out of being contacted by you Never perform bulk, aggressive, or spammy actions, including bulk following Never post identical or substantially similar content across multiple accounts If you’re operating an API-based bot account you must clearly indicate what the account is and who is responsible for it. You should never mislead or confuse people about whether your account is or is not a bot. A good way to do this is by including a statement that the account is a bot in the profile bio. X performance benchmarking You may not use the X API to measure the availability, performance, functionality, or usage of X for benchmarking, competitive, or commercial purposes. For example, you should never use the X API to: Calculate aggregate X metrics, such as the total number of Monthly Actives (MAs) or Daily Actives (DAs) Calculate aggregate X Post metrics, such as the total number of Posts posted per day, or the number of account engagements Measure or analyze the responsiveness of X Measure or analyze spam or security on X, except as permitted below We support research that helps improve conversational health on X. You may not publicly disclose any research or findings concerning, or develop, create, or offer services using, the X API or X Content that measure, analyze, or attempt to identify behaviors or content which violate X policies without express written permission from X. DSA Researchers: If you need to contact X relating to access under Art. 40 of the Digital Services Act, please contact EU-Questions@X.com . If you wish to apply for researcher access, please submit an application . Public display of Posts You must maintain the integrity of all X Content that you display publicly or to people who use your service. If you don’t use X for Websites to display content, then you must use the X API to retrieve the most current version available for display. If displayed content ceases to be available through the X API, then you must remove it from your service as soon as reasonably possible, or within 24 hours after the receipt of a removal request from X, or the applicable X account owner, or as otherwise required by applicable law. There are specific rules you must follow if you display X Content offline. Follow the guidelines for using Posts in broadcast if you display Posts offline. If you embed or display Posts, you must contact us about your X API access if your site exceeds 10 million daily impressions. X reserves the right to require additional terms as a condition to your use of the X API. Additional restrictions on X for Websites developer use include: Embedded Posts and/or embedded timelines You must provide people with legally sufficient notice that fully discloses X’s collection and use of data about browsing activities on your website, including for interest-based advertising and personalization. You must also obtain legally sufficient consent from people for such collection and use You must provide legally sufficient instructions on how people can opt out of X’s interest-based advertising and personalization as described here X for Websites widgets You must ensure that people are provided with clear and comprehensive information about, and consent to, the storing and accessing of cookies or other information on their devices as described in X’s cookie use , where providing such information and obtaining such consent is required by law Services targeted to children under 13 Services targeted to children under 13 must opt out of tailoring X in any embedded Post and/or embedded timelines by setting the opt-out parameter to be ‘true’ as described here Content redistribution The best place to get X Content is directly from X. Consequently, we restrict the redistribution of X Content to third parties. If you provide X Content to third parties, including downloadable datasets or via an API, you may only distribute Post IDs, Direct Message IDs, and/or User IDs (except as described below). In total, you may not distribute more than 1,500,000 Post IDs to any entity (inclusive of multiple individuals associated with a single entity) within any 30 day period unless you have received written permission from X. In addition, developers may provide up to 500 public Posts Objects and/or User Objects to each person who uses your service on a daily basis if this is done via non-automated means (e.g., download of spreadsheets or PDFs). Academic researchers are permitted to distribute Post IDs and/or User IDs solely for the purposes of non-commercial research on behalf of an academic institution, and that has been approved by X in writing, or peer review or validation of such research. Only as many Post IDs or User IDs that is necessary for such research, and has been approved by X may be used. Any X Content provided to third parties remains subject to this Policy, and those third parties must agree to the X Terms of Service , Privacy Policy , Developer Agreement , and Developer Policy before receiving such downloads. You may not enable any entity to circumvent any other limitations or restrictions on the distribution of X Content as contained in this Policy , the Developer Agreement , or any other agreement with X. Note: This Section does not apply to researchers with X API access via Art. 40 of the EU Digital Services Act (2022) (“ DSA ”), who are instead subject to the procedures and restrictions set forth in the DSA and the Developer Agreement. Pay to engage Your service shouldn’t compensate people to take actions on X, as that results in inauthentic engagement that degrades the health of the platform. As you use the X API you may not sell or receive monetary or virtual compensation for any X actions. This includes, but is not limited to, Posts, follows, unfollows, reposts, likes, comments, and replies. Service authenticity You must clearly identify your service so that people can understand its source and purpose. Don’t use names, logos, or URLs that mask your service’s identity and features, or that falsely imply an affiliation with X or third parties. Note that creating applications for the purpose of selling names, or to prevent others from using names, is prohibited. You may not use any URL (including shortened URLs) for your service that directs people to: A site that is unrelated to your service A spam or malware site A site that encourages people to violate X policy X name, logo, and likeness You may only use and display the X name and logo to identify X as the source of X Content. You should never use the X name and logo, the X Official Partner Program badge, or any other similar marks or names in a manner that creates a false sense of endorsement, sponsorship, or association with X. The X Brand Resources contain detailed information to help you use the X brand in the right way. You may only use the X Verified Account badge and any other enhanced account categorization as it is reported to you by X through the API. This helps people know that the content your service displays is equivalent to that shown on X. Advertising on X There are restrictions regarding how and where you are allowed to advertise around X Content. To start, your advertisements can’t resemble or reasonably be confused by people as a Post. Other rules on advertising include: There must be a clear separation between X Content and your advertisements. You may not place any advertisements within the X timeline other than X Ads. X reserves the right to serve advertising via the X API. If you decide to serve X Ads once we start delivering them via the API, we will share a portion of advertising revenue with you in accordance with the relevant terms and conditions. You may not use X Content, or information obtained from the X API to target people with advertising outside of the X platform. Chapter 4 Rules for specific X services or features X login X Cards Definitions X login X Cards Definitions The following additional rules apply for any use of the X services or features listed below: X login You must present people with easy to find options to log into and out of X, for example via the OAuth protocol. The Sign in with X option must be displayed at least as prominently as any other sign-up or sign-in feature on your service. You must also provide people without a X account the opportunity to create one via X. Once someone on your service authenticates via Sign in with X you must clearly display their X identity. X identity includes the person’s current X @handle, avatar, and X logo. Any display of someone’s X followers on your service must clearly show that the relationship is associated with X. X Cards To ensure a quality experience you must develop your Card to render across all platforms where Cards are displayed. Additional rules that you must follow when using Cards include: You must mark your Post as ‘true’ for sensitive media if you plan to display such media within a Card You must use HTTPS for hosting all assets within your Card. Your Card should never generate active mixed content browser warnings Audio and video content should include stop or pause controls, and default to ‘sound off’ for videos that automatically play content You may not exceed or circumvent X’s limitations placed on any Cards, including the Card’s intended use. Additional restrictions on Cards use include: You may not place third-party sponsored content within Cards without X’s approval You may not attach monetary incentives (including virtual currency) within your Card or on X from your Card You may not include content or actions within your Card that are misleading or not contextually relevant, such as URLs and media You may only attach an App Card to a Post when someone is explicitly promoting or referring to the app in the Post Definitions X Content ‒ Posts, Post IDs, X end user profile information, and any other data and information made available to you through the X API or by any other means authorized by X, and any copies and derivative works thereof. Developer Site ‒ X’s developer site located at https://developer.x.com . Services ‒ Your websites, applications and other offerings that display X Content or otherwise use the Licensed Material as explicitly approved by X. Post ID ‒ A unique identification number generated for each Post. Post ‒ A posting made on X Applications. “X” ‒ Means (a) X Corp. (865 FM 1209, Building 2, Bastrop, TX 78602, USA) if your principal place of business is outside the European Union, EFTA States, and the United Kingdom; or (b) X Internet Unlimited Company (One Cumberland Place, Fenian Street, Dublin 2, D02 AX07, Ireland) if your principal place of business is in the European Union, EFTA States, or the United Kingdom. Direct Message - A message that is privately sent on X Applications by one end user to one or more specific end user(s) using X’s Direct Message function. X API ‒ The X Application Programming Interface (“API”), Software Development Kit (“SDK”) and/or the related documentation, data, code, and other materials provided by X with the API, as updated from time to time, including without limitation through the Developer Site. X Applications ‒ X’s consumer facing products, services, applications, websites, web pages, platforms, and other offerings, including without limitation, those offered via https://x.com and X's mobile applications. Developer policy and terms Follow @XDevelopers Subscribe to developer news X platform X.com Status Accessibility Embed a post Privacy Center Transparency Center Download the X app Try Grok.com X Corp. About the company Company news Brand toolkit Jobs and internships Investors Help Help Center Using X X for creators Ads Help Center Managing your account Email Preference Center Rules and policies Contact us Developer resources Developer home Documentation Forums Communities Developer blog Engineering blog Developer terms Business resources Advertise X for business Resources and guides X for marketers Marketing insights Brand inspiration X Ads Academy © 2026 X Corp. Cookies Privacy Terms and conditions Did someone say … cookies? 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https://developers.facebook.com/docs/instagram | Instagram 플랫폼 - 문서 - Meta for Developers Instagram 플랫폼 Overview Webhooks Create an App Instagram API with Instagram Login Facebook 로그인을 통한 Instagram API Publish Content Comment Moderation Private Replies Insights 피드에 공유하기 스토리에 공유하기 oEmbed 퍼가기 버튼 Self Messaging API 참고 자료 App Review Support 변경 사항 Instagram 플랫폼 Meta의 Instagram 플랫폼은 앱 사용자가 Instagram 사용자와 소통하는 데 도움이 되는 도구를 제공합니다. Instagram용 비즈니스 로그인을 통한 Instagram API Instagram 로그인을 통한 Instagram API 를 사용하면 앱 사용자가 Instagram 비즈니스 및 Instagram 크리에이터 계정의 데이터에 액세스할 수 있습니다. 이 API를 사용하면 앱에서 비즈니스와 크리에이터가 해당 비즈니스 또는 미디어에 관심이 있는 Instagram 사용자와 메시지를 주고받고, 미디어를 가져와서 게시하고, 미디어가 달린 댓글을 관리하고 답글을 달며, 다른 Instagram 사용자가 자신을 @언급한 미디어를 확인할 수 있습니다. Instagram 비즈니스 또는 크리에이터 계정이 필요합니다. 비즈니스용 Facebook 로그인을 통한 Instagram API 비즈니스용 Facebook 로그인을 통한 Instagram API 를 사용하면 앱 사용자가 Facebook 페이지와 연결된 Instagram 비즈니스 및 Instagram 크리에이터 계정의 데이터에 액세스할 수 있습니다. 이 API를 사용하면 미디어를 가져와서 게시하고, 미디어에 달린 댓글을 관리하고 답글을 달며, 다른 Instagram 사용자가 자신을 @언급한 미디어를 식별하고, 해시태그가 지정된 미디어를 찾고, 다른 Instagram 비즈니스 및 크리에이터에 대한 기본 메타데이터와 지표를 가져올 수 있습니다. Facebook 페이지에 연결된 Instagram 비즈니스 또는 크리에이터 계정이 필요합니다. Messenger API를 통한 Instagram Messaging API Instagram을 지원하는 Messenger API (개발자 정책에서는 Instagram 메시지 API라고도 알려짐)를 사용하면 하나의 플랫폼에서 Instagram 프로페셔널 계정이 앱을 통해 Instagram 메시지를 관리하도록 할 수 있습니다. 이 API는 Instagram 및 Facebook 사용자와 메시지를 주고받는 데 사용할 수 있습니다. Facebook 페이지에 연결된 Instagram 비즈니스 또는 크리에이터 계정이 필요합니다. 스토리에 공유하기 스토리에 공유하기 를 통해 앱 사용자가 콘텐츠를 Instagram 스토리에 공유하도록 지원할 수 있습니다. 피드에 공유하기 피드에 공유하기 를 통해 앱 사용자가 콘텐츠를 Instagram 피드에 공유하도록 지원할 수 있습니다. 임베딩 다른 웹사이트에 Instagram 사진과 동영상 게시물을 포함(Embed) 합니다. requireLazy(["TimeSliceImpl","ServerJS"],function(TimeSlice,ServerJS){var s=(new 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https://stackoverflow.blog/2025/08/19/strengthening-the-core-stack-overflow-for-teams-2025-6/ | Strengthening the core: Stack Overflow for Teams 2025.6 - Stack Overflow Blog Loading… Everything Productivity AI/ML Open Source Business Hub Company Releases Podcast Newsletter Stack Overflow Business Stack Internal : the knowledge intelligence layer that powers enterprise AI. Stack Data Licensing : decades of verified, technical knowledge to boost AI performance and trust. Stack Ads : engage developers where it matters — in their daily workflow. August 19, 2025 Strengthening the core: Stack Overflow for Teams 2025.6 Our August release, Stack Overflow for Teams 2025.6, focuses on critical back-end improvements that enhance stability, data integrity, and identity management. Every great product evolves—and sometimes the most important changes happen behind the scenes. Our August release, Stack Overflow for Teams 2025.6, focuses on critical back-end improvements that enhance stability, data integrity, and identity management. These upgrades set the stage for new features and functionality coming soon. Building a stronger identity foundation This release enhances our SAML and SCIM integrations by adding support for more user attributes, including first and last names. That means smoother onboarding and better alignment with enterprise identity systems, helping Teams work seamlessly with the tools and providers you already use. Keeping your data clean and consistent Data accuracy matters, especially when it comes to reporting. With 2025.6, email address changes are now automatically synced across all database fields for customers who receive data exports. This behind-the-scenes fix improves historical accuracy and reporting reliability without any manual intervention. Small changes, big impact You’ll also notice a subtle terminology update: “API Service Keys” is now “API Service Application” in the UI and documentation. This small shift makes it easier for admins and developers to understand and manage integrations. Coming soon: What we’re building next Read on for a glimpse at what’s coming to Stack Overflow for Teams. These key features on our roadmap will further transform how knowledge is captured, shared, and applied across your organization. Keep in mind that these features are currently in development and do not have committed release dates. We’ll share more as they near availability! Commenting improvements We’re bringing richer, more structured conversations to Teams with the launch of nested comments on answers. Users will be able to reply directly to specific comments, making it easier to clarify questions, follow solution threads, and engage in contextual discussions. A refreshed UI will enhance the overall commenting experience, with better visibility for upvotes, replies, and active conversations. Knowledge Ingestion Engine Turn institutional knowledge into action. Our upcoming ingestion engine will make it easier to convert valuable content from platforms like SharePoint, Confluence, Google Drive, and Slack into structured, reusable knowledge within Teams. Features include: Trust indicators to prioritize relevant content Human-in-the-loop workflows for editing and verification Automatic seeding with attribution and tagging Say goodbye to silos and hello to scalable expertise. MCP Server: AI-ready knowledge, right where you work The Model Context Protocol (MCP) server will bring Stack Overflow for Teams into the AI workflow. With structured read/write access, you’ll be able to surface verified knowledge in tools like IDEs, coding copilots, and developer agents. Expect: Support for AI-assisted contributions, including draft suggestions and SME routing Robust governance and audit trails A secure, scalable path to keep knowledge fresh and accessible—without leaving your flow Ready to explore? All features in the 2025.6 release will be live in Enterprise environments by 12pm ET on August 20, 2025 . To learn more, visit the release notes , or reach out to your Customer Success partner with any questions. Thanks for continuing to build and learn with Stack Overflow for Teams. Author s Carrie Koos Staff Stack Internal Releases Stack Overflow Internal Where developers & technologists share private knowledge with coworkers. Learn more Latest releases January 5, 2026 What’s new at Stack Overflow: January 2026 December 16, 2025 Your 2025 Stacked: A year of knowledge, community, and impact December 1, 2025 What’s new at Stack Overflow: December 2025 November 12, 2025 2025.8 release introduces Stack Overflow Internal: The next generation of enterprise knowledge intelligence Add to the discussion Login with your stackoverflow.com account to take part in the discussion. Our Stack Stack Internal Features Customers Security Pricing Stack Data Licensing Stack Ads Partnerships Services Stack Overflow Company Leadership Press Careers Social Impact Support Contact Stack Overflow help Stack Internal help Terms Privacy policy Cookie policy Your Privacy Choices Elsewhere Blog Dev Newsletter Podcast Releases Dev Survey Site design / logo © 2026 Stack Exchange Inc. Light Dark Auto | 2026-01-13T08:48:28 |
https://developer.x.com/developer-terms/display-requirements | Display requirements – X Developers | X Developer Platform <g> <g> <defs> <rect id="SVGID_1_" x="-468" y="-1360" width="1440" height="3027" /> </defs> <clippath id="SVGID_2_"> <use xlink:href="#SVGID_1_" style="overflow:visible;" /> </clippath> </g> </g> <rect x="-468" y="-1360" class="st0" width="1440" height="3027" style="fill:rgb(0,0,0,0);stroke-width:3;stroke:rgb(0,0,0)" /> <path d="M13.4,12l5.8-5.8c0.4-0.4,0.4-1,0-1.4c-0.4-0.4-1-0.4-1.4,0L12,10.6L6.2,4.8c-0.4-0.4-1-0.4-1.4,0c-0.4,0.4-0.4,1,0,1.4 l5.8,5.8l-5.8,5.8c-0.4,0.4-0.4,1,0,1.4c0.2,0.2,0.4,0.3,0.7,0.3s0.5-0.1,0.7-0.3l5.8-5.8l5.8,5.8c0.2,0.2,0.5,0.3,0.7,0.3 s0.5-0.1,0.7-0.3c0.4-0.4,0.4-1,0-1.4L13.4,12z" /> </svg>" data-icon-chevron-right="<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewbox="0 0 24 24" aria-hidden="true" focusable="false" role="none" class="twtr-icon"> <path opacity="0" d="M0 0h24v24H0z" /> <path d="M17.207 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You should comply with the display requirements below when you display posts, timelines, and other X content. If you follow these guidelines merely to display a post, you may not need to contact X for any additional display or trademark permissions. However, you may still want to submit your proposed use and context for X review. (Note that, in some cases, permission from the original content creator may still be necessary, as X does not provide permission to use third party/user content.) The following general principles apply to all display mediums. Please note, medium-specific requirements do apply, and are are outlined in the sections below. The image below shows all the main components of a post. Do Display real, unmodified posts from real accounts. Follow X’s Terms of Service , the X Brand Assets and Guidelines , and (if applicable) the Developer Agreement and Developer Policy . Display the X logo. Don't Use X content to promote any product or service (e.g., by displaying X content in advertising or otherwise displaying X content to imply endorsement of any product or service) without explicit permission from the user. Use X content to imply sponsorship by, endorsement from, or a false association with X. Include buttons or icons from other social platforms. Modify post text. Use mock ups of posts that don’t exist on the platform. Online display / Mobile, web, and beyond We’re committed to bringing the ease and power of X to everyone. To ensure every post is displayed optimally, we strongly encourage using embedded posts , embedded timelines , and/or X Kit . When you use these products to publish X content, posts and timelines are automatically rendered correctly, including advanced features like photos, video playback, edited posts, and fetching of up-to-date X data without OAuth. If it is not possible for you to use our embedding features, you must follow the requirements below when displaying posts and timelines online. Post author The post author’s profile picture, @username, and display name must always be displayed and link to the user’s X profile. The post author’s @username must always be displayed with the “@” symbol. The post author’s avatar must be positioned to the left of the author’s name and @username—except for posts in languages that read right to left, in which case the author’s avatar must be positioned to the right of the author’s display name and @username. Post text The post text must be displayed on a line below the author’s display name and @username, and may not be altered or modified. On touch devices, the white space around the post text and post author must link to the post’s permalink. post Entities within the post text must be properly linked to their appropriate home on X. For example: User_mentions must link to the mentioned user’s profile. Hashtags must link to a X search with the hashtag as the query. Links in post text must be displayed using the display_url field in the URL entities API response, and link to the original t.co url field. See our t.co best practices article for additional details. Timestamp The post timestamp must be displayed and link to the post’s permalink. Post Actions All post Action icons (including reply, repost, and like) must always be visible for the user to interact with the post. These actions must be implemented using Web Intents or with the authenticated X API. (To support the implementation of post Actions, we provide several image resources .) In lieu of post Actions, “View on X” may be shown next to the timestamp, linking the user to the post permalink. No other social or third party actions may be attached to a post. (e.g., subscribe, comment, like). If the post being displayed is a repost, the display name of the user who reposted it and the repost icon must be displayed above or under the post text. e.g., “reposted by Jane Doe”. The display name must link to the profile of the user who reposted it. Follow guidelines for displaying replies . Post edits X allows people to edit their posts up to 5 times during the first 30 minutes after posting the original post. When using embedded posts , the display will appear slightly different depending on whether the post was edited before or after it was embedded. When a post is embedded first, and then edited, you must display those edits as they occur on the X platform: If you are displaying a previous version of an edited post, you must note below the timestamp that there is a new version of the post, and to the right of that note, provide a link which expands the post’s edit history. You must then display the full edit history of the post. When a post has been edited first, and then embedded, you must note in the timestamp that the post was edited, and the timestamp must also link to the live post on X: Branding The official X logo must always be reasonably visible and displayed on the upper-right corner of an individual post or directly attached to the timeline (e.g., top of the timeline). The logo should be the same height “x” as in the image. See X’s brand resources page for brand guidelines and assets. Mobile deep linking Deep links from native mobile apps must direct to the native X application. If the native X application is not installed on the device, the link must direct to X.com via a web browser. Timelines All timelines must allow users to view the details of an individual post (e.g., by linking the post timestamp or by linking the entire post area). If you plan any advertising near posts, please ensure it complies with the Developer Policy . If for any reason you cannot comply with one or more of these rules, please contact us directly via our Policy Support form before displaying X content. For questions or further information about use of the X name and trademarks, please contact trademarks@twitter.com. Broadcast display / 15 minutes of fame We welcome and encourage the use of X in broadcast media. Our requirements ensure that X users receive proper attribution for their content, and help provide the best experience for your audience. Do Show the user’s full name, @username, post text, and profile picture. Include the X logo in close proximity to the posts for as long as they appear in your broadcast. Make sure that the X logo is sized similarly to the size in the above image, relative to the content. Use the full text of the post. When displaying images, the post text must also be included along with the user’s display name, @username, and the X logo. Don't Display X content in advertising or to imply endorsement of any product or service without explicit permission from the user. Delete, obscure, or alter the post content or identification of the user (with the exception of removing hyperlinks). Exclude the timestamp. Do not use X marks, in whole or in part, in the title of your production without first reviewing their use with X by contacting us at trademarks@X.com. Verbal or voice over Posts When reading posts on air with no graphic display of the post, you do not need to display the X logo but you do need to verbally attribute it to X. Read the post as originally written, without edits. Usernames Make sure to include a reference to X when mentioning X usernames. For example, “Follow us on X, at-username” or “You can follow Lady Gaga on X, at-ladygaga” Hashtags Make sure to include a reference to X when mentioning X hashtags. For example, “Use the hashtag ‘election2016’ on X” or “The hashtag for this broadcast on X is bbcaq”. 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A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account Forem Close # webgpu Follow Hide Create Post Older #webgpu posts 1 2 Posts Left menu 👋 Sign in for the ability to sort posts by relevant , latest , or top . Right menu Building a Production WebGPU Engine... for a psychotherapy practice? x0101010011 x0101010011 x0101010011 Follow Dec 23 '25 Building a Production WebGPU Engine... for a psychotherapy practice? # webgpu # webgl2 # design # genart Comments Add Comment 3 min read WebGPU Engine from Scratch Part 12: Ambient Lighting ndesmic ndesmic ndesmic Follow Dec 22 '25 WebGPU Engine from Scratch Part 12: Ambient Lighting # webgpu # vanillajs # computergraphics 1 reaction Comments Add Comment 33 min read Visual Scripting with JS&NodeJS Nikola Nikola Nikola Follow Dec 18 '25 Visual Scripting with JS&NodeJS # visualscripting # online # webgpu # engine Comments Add Comment 2 min read Learning shader effect with Three.js TSL Gen Gen Gen Follow Dec 7 '25 Learning shader effect with Three.js TSL # threejs # webgl # webgpu # tsl Comments Add Comment 3 min read Building Hy-CAD: A WebGPU-Powered CAD Viewer with Rust and Kiro zyg zyg zyg Follow Dec 5 '25 Building Hy-CAD: A WebGPU-Powered CAD Viewer with Rust and Kiro # kiro # rust # webassembly # webgpu Comments Add Comment 2 min read GPU Compute Shaders in Pure Go: gogpu/gg v0.15.3 Andrey Kolkov Andrey Kolkov Andrey Kolkov Follow Dec 26 '25 GPU Compute Shaders in Pure Go: gogpu/gg v0.15.3 # go # gpu # graphics # webgpu 1 reaction Comments Add Comment 7 min read Deno X WebGPU X Threejs James Kaguru Kihuha James Kaguru Kihuha James Kaguru Kihuha Follow Dec 2 '25 Deno X WebGPU X Threejs # webdev # deno # threejs # webgpu Comments Add Comment 2 min read WebGPU Engine from Scratch Part 11 - 2: True Scene Graph ndesmic ndesmic ndesmic Follow Dec 16 '25 WebGPU Engine from Scratch Part 11 - 2: True Scene Graph # webgpu # vanillajs # computergraphics 1 reaction Comments Add Comment 18 min read How to Render an MMD Anime Character with WebGPU from Scratch Amyang Amyang Amyang Follow Nov 21 '25 How to Render an MMD Anime Character with WebGPU from Scratch # webdev # programming # webgpu # animation 1 reaction Comments Add Comment 10 min read Rendering 15 Million Moving Nodes in the Browser with WebGPU Adam Laston Adam Laston Adam Laston Follow Nov 15 '25 Rendering 15 Million Moving Nodes in the Browser with WebGPU # javascript # webgpu # webdev # ai Comments Add Comment 1 min read GoGPU: From Idea to 100K Lines in Two Weeks — Building Go's GPU Ecosystem Andrey Kolkov Andrey Kolkov Andrey Kolkov Follow Dec 17 '25 GoGPU: From Idea to 100K Lines in Two Weeks — Building Go's GPU Ecosystem # go # graphics # gpu # webgpu Comments Add Comment 5 min read naga v0.8.0: Pure Go Shader Compiler Reaches Stability Milestone Andrey Kolkov Andrey Kolkov Andrey Kolkov Follow Dec 12 '25 naga v0.8.0: Pure Go Shader Compiler Reaches Stability Milestone # go # gpu # graphics # webgpu Comments Add Comment 4 min read Why I Rebuilt My WebGPU Triangle Demo From Scratch Bradley Matera Bradley Matera Bradley Matera Follow Nov 14 '25 Why I Rebuilt My WebGPU Triangle Demo From Scratch # webgpu # webdev # learning # webgl 1 reaction Comments Add Comment 2 min read Making My Triangle WebGPU Demo Match What It Actually Is Bradley Matera Bradley Matera Bradley Matera Follow Nov 14 '25 Making My Triangle WebGPU Demo Match What It Actually Is # learning # webdev # nextjs # webgpu Comments Add Comment 3 min read FFmpeg video Playback in Native WGPU The Lone Engineer The Lone Engineer The Lone Engineer Follow Sep 20 '25 FFmpeg video Playback in Native WGPU # webgpu # ffmpeg # programming # gamedev 1 reaction Comments Add Comment 15 min read WebGPU Engine from Scratch Part 11 - 1: Visual Testing ndesmic ndesmic ndesmic Follow Oct 13 '25 WebGPU Engine from Scratch Part 11 - 1: Visual Testing # playwright # webgpu 2 reactions Comments Add Comment 9 min read [Tutorial] Procedural Voronoi Texture generation in WGPU The Lone Engineer The Lone Engineer The Lone Engineer Follow Oct 11 '25 [Tutorial] Procedural Voronoi Texture generation in WGPU # webgpu # procedural # cpp # gamedev 1 reaction Comments Add Comment 17 min read WebGPU Engine from Scratch Part 10: Markup Language and Scene Graph ndesmic ndesmic ndesmic Follow Oct 6 '25 WebGPU Engine from Scratch Part 10: Markup Language and Scene Graph # webgpu # vanillajs 2 reactions Comments Add Comment 18 min read WebGPU Engine from Scratch Part 7: Specular Lighting ndesmic ndesmic ndesmic Follow Sep 1 '25 WebGPU Engine from Scratch Part 7: Specular Lighting # webgpu # vanillajs 2 reactions Comments Add Comment 6 min read WebGPU Engine from Scratch Part 8: Physically Based Lighting (PBR) ndesmic ndesmic ndesmic Follow Sep 8 '25 WebGPU Engine from Scratch Part 8: Physically Based Lighting (PBR) # webgpu # vanillajs 2 reactions Comments Add Comment 14 min read WebGPU Engine from Scratch Part 6: Diffuse Lighting ndesmic ndesmic ndesmic Follow Aug 25 '25 WebGPU Engine from Scratch Part 6: Diffuse Lighting # webgpu # vanillajs 2 reactions Comments Add Comment 8 min read WebGPU Engine from Scratch Part 5: More Pipeline Improvements ndesmic ndesmic ndesmic Follow Aug 18 '25 WebGPU Engine from Scratch Part 5: More Pipeline Improvements # webgpu # vanillajs 2 reactions Comments Add Comment 7 min read WebGPU Engine from Scratch Part 4: Updating the Pipeline ndesmic ndesmic ndesmic Follow Aug 11 '25 WebGPU Engine from Scratch Part 4: Updating the Pipeline # webgpu # vanillajs 1 reaction Comments Add Comment 13 min read WebGPU Engine from Scratch Part 9: Shadow Maps ndesmic ndesmic ndesmic Follow Sep 15 '25 WebGPU Engine from Scratch Part 9: Shadow Maps # webgpu # vanillajs 1 reaction Comments 1 comment 17 min read WebGPU Engine from Scratch Part 3: Textures ndesmic ndesmic ndesmic Follow Jul 28 '25 WebGPU Engine from Scratch Part 3: Textures # webgpu # computergraphics # vanillajs 2 reactions Comments Add Comment 10 min read loading... trending guides/resources WebGPU Engine from Scratch Part 11 - 2: True Scene Graph GoGPU: From Idea to 100K Lines in Two Weeks — Building Go's GPU Ecosystem Rendering 15 Million Moving Nodes in the Browser with WebGPU How to Render an MMD Anime Character with WebGPU from Scratch Why I Rebuilt My WebGPU Triangle Demo From Scratch WebGPU Engine from Scratch Part 12: Ambient Lighting Visual Scripting with JS&NodeJS GPU Compute Shaders in Pure Go: gogpu/gg v0.15.3 naga v0.8.0: Pure Go Shader Compiler Reaches Stability Milestone Making My Triangle WebGPU Demo Match What It Actually Is Building Hy-CAD: A WebGPU-Powered CAD Viewer with Rust and Kiro Building a Production WebGPU Engine... for a psychotherapy practice? 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https://opensource.org/ai/faq | OSAID FAQs – Open Source Initiative Skip to content Get involved About Licenses Open Source Definition Open Source AI Programs Blog Get involved About Licenses Open Source Definition Open Source AI Programs Blog Open Source AI Open Source AI OSAID 1.0 Process Timeline Open Weights FAQ Endorsements Open Main Menu THE open source ai definition 1.0 We have released the first stable version of the Definition. Read version 1.0 Answers to Frequently Asked Questions The Open Source AI Definition (OSAID) represents an important first step in defining Open Source in an AI context. Because AI systems differ fundamentally from traditional software, the OSAID seeks to establish the first set of clear, practical guidelines for development, use and modification of AI systems in keeping with the Open Source ethos. Unfortunately, misconceptions about the definition persist, often stemming from a lack of understanding of the nature of AI. This post aims to clarify key points and provide a forward-looking perspective on the importance of the OSAID. THE open source ai definition 1.0 FAQs What Is an AI System? What is an Open Source AI? Why did you write the Open Source AI Definition? What’s the difference between the Open Source Definition and the Open Source AI Definition? Isn’t training data required to program the AI system? What is the role of training data in the Open Source AI Definition? Why do you allow the exclusion of some training data? How did you arrive at this conclusion? Is it compromising Open Source ideals? What kind of data should be required in the Open Source AI Definition? How do you fix a buggy AI system? What is a skilled person? Is the Open Source AI Definition covering models and weights and parameters? Why do you require training code while OSD #2 doesn’t require compilers? Why is there no mention of safety and risk limitations in the Open Source AI Definition? Are model parameters copyrightable? Why will parameters be available under “OSI-approved terms” but the code will be under “OSI-approved licenses”? Are you going to allow restrictions on the terms for models? Why is the “Preferred form to make modifications” limited to machine learning? Which AI systems comply with the Open Source AI Definition? What’s the next step? FAQs What Is an AI System? According to the OSAID, an AI system aligns with the definition provided by the Organisation for Economic Co-operation and Development (OECD): An AI system is a machine-based system that, for explicit or implicit objectives, infers, from the input it receives, how to generate outputs such as predictions, content, recommendations, or decisions that can influence physical or virtual environments. Different AI systems vary in their levels of autonomy and adaptiveness after deployment. In simple terms, an AI system is “the thing” that processes input to produce output, whether that’s a prediction, recommendation, or another result. Anchoring discussions in such common definitions is essential because AI systems differ radically from traditional software. What is an Open Source AI? An Open Source AI is an AI system made freely available with all necessary code, data and parameters under legal terms approved by the Open Source Initiative. For more details, read below. Why did you write the Open Source AI Definition? Point #2 of the Open Source Definition (OSD) says “The program must include source code […] The source code must be the preferred form in which a programmer would modify the program […]” . When we embarked on this initiative, nobody had a clear answer to the question, “What is the preferred form to modify an AI system?” So OSI offered to find the answer along with the broader community by engaging in a co-design process . What’s the difference between the Open Source Definition and the Open Source AI Definition? The Open Source Definition (OSD) refers to software programs. AI and specifically machine learning systems are not simply software programs; they blend boundaries with data, configuration options, documentation and new artifacts, like weights and biases. The Open Source AI Definition describes the preferred form to modify an AI system, providing clarity on interpreting the principles of the OSD in the domain of AI. Isn’t training data required to program the AI system? A frequent misunderstanding about AI systems is equating training data with source code, suggesting that “training data is how the model gets programmed.” Unlike traditional software, AI systems are not programmed in the conventional sense. Instead, they acquire capabilities autonomously during the training process — a phenomenon distinguishing them from software like the Linux kernel. For example, the Linux kernel is: Programmed by humans. Composed of source code that developers can read, study, and modify. Reproducible, meaning its binary form can be reliably rebuilt from its source code. In contrast, modern AI systems such as large language models develop their behavior in ways that are often unpredictable and inexplicable. Training processes are challenging to replicate reliably, even by the system’s creators. These differences necessitated the establishment of a unique definition beyond the Open Source Definition for software. What is the role of training data in the Open Source AI Definition? Open Source means giving anyone the ability to meaningfully fork (study and modify) your system without requiring additional permissions to make it more useful for themselves and everyone else. This is why point #2 of the OSD requires that the source code be provided in the preferred form for making modifications. This way, everyone has the same rights and ability to fork as the original developers, starting a virtuous innovation cycle. However, training data does not equate to a software source code. Training data is important for studying modern machine learning systems. However, it is not what AI researchers and practitioners necessarily use as part of the preferred form for modifying a trained model. The Data Information and Code requirements of the OSAID allow Open Source AI systems to be forked by third-party AI builders downstream using the same information as the original developers. These forks could include removing nonpublic or non-open data from the training dataset in order to train a new Open Source AI system on fully public or open data. Why do you allow the exclusion of some training data? We want Open Source AI to exist in fields where data cannot be legally shared, such as medical AI. Laws that permit training on data often limit the resharing of that same data to protect copyright or other interests. Privacy rules also give people the right to control their most sensitive information, like decisions about their health. Similarly, much of the world’s Indigenous knowledge is protected through mechanisms that are not compatible with later-developed frameworks for rights exclusivity and sharing. There are also many cases where terms of use of publicly available data may give entity A the confidence that they may use it freely and call it “open data,” but not give entity A the confidence they can, in turn, give entity B the same guarantees for use in a different jurisdiction. Meanwhile, entity B may not feel confident using that data in their own jurisdiction. An example is so-called public domain data, where the definition of public domain varies from country to country. Another example is fair-use or private data, where the finding of fair use or privacy laws may require a good knowledge of the law of a given jurisdiction. This resharing is not so much limited as lacking legal certainty . How did you arrive at this conclusion? Is it compromising Open Source ideals? During our co-design process, relationships between the weights and the data drove the highest community engagement. In the “System analysis” phase , the volunteer groups suggested that training and data processing codes were more important for modifying the AI system than accessing the training and testing data. That result was validated in the “Validation phase” and suggested a path that allows Open Source AI to exist on equal grounds with proprietary systems: both can train on the same kind of data. Some people believe that full, unfettered access to all training data (with no distinction of its kind) is paramount, arguing that anything less would compromise the full reproducibility of AI systems, transparency and security. This approach would relegate Open Source AI to a niche of AI trainable only on open data. That niche would be tiny, even relative to the niche occupied by Open Source in the traditional software ecosystem. The requirements of Data Information keep the same approach present in the Open Source Definition; it doesn’t mandate full reproducibility and transparency but enables them (i.e., reproducible builds ). At the same time, setting a baseline requiring Data Information doesn’t preclude others from formulating and demanding more requirements, like the Digital Public Goods Standard or the Free Systems Distribution Guidelines , which add requirements to the Open Source Definition. One of the key aspects of OSI’s mission is to drive and promote Open Source innovation. The approach OSI takes here enables complete user choice with Open Source AI. Users can keep the insights derived from training+data preprocessing code and a description of unshareable training data and build upon those with their own unshareable data and give the insights derived from further training to everyone, allowing for Open Source AI in areas like health care. Alternatively, users can obtain the available and public data from the Data Information and retrain their model without any unshareable data, resulting in more data transparency in the AI system. Like copyleft and permissive licensing, this approach leaves the choice with the user. What kind of data should be required in the Open Source AI Definition? A significant challenge in AI is the role of data. Unlike traditional software, where source code is the primary artifact, AI systems depend heavily on data — not just any data, but data processed and curated into training datasets. The OSAID recognizes the legal and ethical complexities of data sharing and uses precise legal terms to outline expectations. While not all raw data can be freely distributed, the Definition ensures that the essential elements for modifying an AI system are accessible. There are four classes of data, based on their legal constraints, all of which can be used to train Open Source AI systems: Open training data: data that can be copied, preserved, modified and reshared. It provides the best way to enable users to study the system. This must be shared. Public training data: data that others can inspect as long as it remains available. This also enables users to study the work. However, this data can degrade as links or references are lost or removed from network availability. To obviate this, different communities will have to work together to define standards, procedures, tools and governance models to overcome this risk, and Data Information is required in case the data becomes later unavailable. This must be disclosed with full details on where to obtain it. Obtainable training data is data that can be obtained, including for a fee. This information provides transparency and is similar to a purchasable component in an open hardware system. The Data Information provides a means of understanding this data other than obtaining or purchasing it. This area is likely to change rapidly and will need careful monitoring to protect Open Source AI developers. It must be disclosed with full details on where to obtain it. Unshareable nonpublic training data: data that cannot be shared for explainable reasons, like Personally Identifiable Information (PII). For this class of data, the ability to study some of the system’s biases demands a detailed description of the data – what it is, how it was collected, its characteristics, and so on – so that users can understand the biases and categorization underlying the system. This must be revealed in detail so that, for example, a hospital can create a dataset with identical structure using its own patient data. OSI believes that all these classes of data can be part of the preferred form of making modifications to the AI system. This approach both advances openness in all the components of the AI system and drives more Open Source AI, including private-first areas such as health care. How do you fix a buggy AI system? A core question the OSAID addresses is: How do you fix a buggy AI system? For traditional software, the Open Source Definition provides a clear answer: The program must include source code, and must allow distribution in source code as well as compiled form. The source code must be the preferred form in which a programmer would modify the program. However, modifying an AI system requires more than just source code. After extensive consultation with AI developers, researchers and practitioners, the community, through the OSAID co-design process, concluded that the preferred form for modifying an AI system includes: The software used to create the dataset (i.e., to transform raw data into tokens). The software used to train the system. The results of the training (i.e., the parameters). All legally shareable data used in the training process. These components collectively enable the study, use, modification and sharing of AI systems in a manner consistent with Open Source principles. What is a skilled person? In legal circles, Skilled Person means any person having the current knowledge, experience and competence to perform a certain duty. This Wikipedia entry provides more details. Is the Open Source AI Definition covering models and weights and parameters? Yes. The Open Source AI Definition makes no distinction between what might be called AI system, model, or weights and parameters. Whether the offering is characterized as an AI system, a model, or weights and parameters, to be called Open Source AI, the requirements for providing the preferred form for making modifications will be the same. If you are interested in learning more about Open Weights, please read this article. Why do you require training code while OSD #2 doesn’t require compilers? AI and software are radically different domains, and drawing comparisons between them is rarely productive. OSD point #2 doesn’t mandate that Open Source software uses only compilers released with an OSI-Approved License because compilers are standardized, de jure (like ANSI C) or de facto like TurboPascal or Python. It was generally accepted that to develop more Open Source software one could use a proprietary development environment. For machine learning, the training code is not standardized, and therefore it must be part of the preferred form of making modifications to preserve the right to fork an AI system. Why is there no mention of safety and risk limitations in the Open Source AI Definition? The Open Source AI Definition does not specifically guide or enforce ethical, trustworthy, or responsible AI development practices. However, it does not put up any barriers that would prevent developers from adhering to such principles if they chose to. The efforts to discuss the responsible development, deployment and use of AI systems, including through appropriate government regulation, are a separate conversation. A good starting point is OECD’s Recommendation of the Council on Artificial Intelligence, Section 1: Principles for responsible stewardship of trustworthy AI . Are model parameters copyrightable? The Open Source AI Definition does not take a stance on the legal nature of Parameters. They may be free by nature, or a license or other legal instrument may be required to ensure their freedom. Whether model parameters are copyrightable will become clearer over time as the legal system has more opportunities to address this issue. In any case, we require an explicit assertion accompanying the distribution of Parameters that assures that they are freely available to all. Why will parameters be available under “OSI-approved terms” but the code will be under “OSI-approved licenses”? Are you going to allow restrictions on the terms for models? We used the word “terms” instead of “license” for models because, as mentioned above, we do not yet know what the legal mechanism will be to assure that the models are available to use, study, modify and share. We used “terms” to avoid suggesting that a “license” is the only legal mechanism that could be used. That said, to be approved by the OSI, the terms for parameters must assure the freedom to use, study, modify and share. Why is the “Preferred form to make modifications” limited to machine learning? The principles stated in the Open Source AI Definition are generally applicable to any kind of AI, but machine learning challenges the Open Source Definition. For machine learning, a set of artifacts (components) is required to study and modify the system, thus requiring a new explanation of what is necessary to study and modify the system. Which AI systems comply with the Open Source AI Definition? As part of our validation and testing of the OSAID, the volunteers checked whether the Definition could be used to evaluate if AI systems provided the freedoms expected. The list of models that passed the Validation phase are: Pythia (Eleuther AI), OLMo (AI2), Amber and CrystalCoder (LLM360), and T5 (Google). A few others that were analyzed would probably pass if they changed their licenses/legal terms, for example, BLOOM (BigScience), Starcoder2 (BigCode), and Falcon (TII). Those that have been analyzed and don’t pass because they lack required components and/or their legal agreements are incompatible with the Open Source principles include Llama2 (Meta), Grok (X/Twitter), Phi-2 (Microsoft), and Mixtral (Mistral). These results should be seen as part of the definitional process, a learning moment; they are not certifications of any kind. OSI will continue to validate only legal documents and will not validate or review individual AI systems, just as it does not validate or review software projects. What’s the next step? The Open Source AI Definition reflects a thoughtful and inclusive process endorsed by leading AI developers, researchers and practitioners. It culminates in a first step represented in version 1.0 of the OSAID. The definition acknowledges that AI fundamentally differs from software and requires a tailored approach. Misunderstandings about the OSAID often arise from attempts to apply software engineering paradigms to AI, leading to confusion. By embracing the unique characteristics of AI systems, the OSAID offers a robust framework for fostering transparency, innovation and collaboration in AI development. As we navigate AI’s evolving landscape, it is crucial to engage thoughtfully and constructively with these definitions. By doing so, we can ensure that AI systems remain open, accessible and aligned with the principles of the broader Open Source movement. Our work is only possible thanks to our members. Join us today! 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https://opensource.org/osd-annotated#content | The Open Source Definition (Annotated) – Open Source Initiative Skip to content Get involved About Licenses Open Source Definition Open Source AI Programs Blog Get involved About Licenses Open Source Definition Open Source AI Programs Blog Open Main Menu Home The Open Source Definition (Annotated) The Open Source Definition (Annotated) Page created on July 24, 2006 | Last modified on February 16, 2024 The sections below appear as annotations to the Open Source Definition (OSD) and are not a part of the OSD. A plain version of the OSD without annotations can be found here . Introduction Open source doesn’t just mean access to the source code. The distribution terms of open source software must comply with the following criteria: 1. Free Redistribution The license shall not restrict any party from selling or giving away the software as a component of an aggregate software distribution containing programs from several different sources. The license shall not require a royalty or other fee for such sale. Rationale: By constraining the license to require free redistribution, we eliminate the temptation for licensors to throw away many long-term gains to make short-term gains. If we didn’t do this, there would be lots of pressure for cooperators to defect. 2. Source Code The program must include source code, and must allow distribution in source code as well as compiled form. Where some form of a product is not distributed with source code, there must be a well-publicized means of obtaining the source code for no more than a reasonable reproduction cost, preferably downloading via the Internet without charge. The source code must be the preferred form in which a programmer would modify the program. Deliberately obfuscated source code is not allowed. Intermediate forms such as the output of a preprocessor or translator are not allowed. Rationale: We require access to un-obfuscated source code because you can’t evolve programs without modifying them. Since our purpose is to make evolution easy, we require that modification be made easy. 3. Derived Works The license must allow modifications and derived works, and must allow them to be distributed under the same terms as the license of the original software. Rationale: The mere ability to read source isn’t enough to support independent peer review and rapid evolutionary selection. For rapid evolution to happen, people need to be able to experiment with and redistribute modifications. 4. Integrity of The Author’s Source Code The license may restrict source-code from being distributed in modified form only if the license allows the distribution of “patch files” with the source code for the purpose of modifying the program at build time. The license must explicitly permit distribution of software built from modified source code. The license may require derived works to carry a different name or version number from the original software. Rationale: Encouraging lots of improvement is a good thing, but users have a right to know who is responsible for the software they are using. Authors and maintainers have reciprocal right to know what they’re being asked to support and protect their reputations. Accordingly, an open source license must guarantee that source be readily available, but may require that it be distributed as pristine base sources plus patches. In this way, “unofficial” changes can be made available but readily distinguished from the base source. 5. No Discrimination Against Persons or Groups The license must not discriminate against any person or group of persons. Rationale: In order to get the maximum benefit from the process, the maximum diversity of persons and groups should be equally eligible to contribute to open sources. Therefore we forbid any open source license from locking anybody out of the process. Some countries, including the United States, have export restrictions for certain types of software. An OSD-conformant license may warn licensees of applicable restrictions and remind them that they are obliged to obey the law; however, it may not incorporate such restrictions itself. 6. No Discrimination Against Fields of Endeavor The license must not restrict anyone from making use of the program in a specific field of endeavor. For example, it may not restrict the program from being used in a business, or from being used for genetic research. Rationale: The major intention of this clause is to prohibit license traps that prevent open source from being used commercially. We want commercial users to join our community, not feel excluded from it. 7. Distribution of License The rights attached to the program must apply to all to whom the program is redistributed without the need for execution of an additional license by those parties. Rationale: This clause is intended to forbid closing up software by indirect means such as requiring a non-disclosure agreement. 8. License Must Not Be Specific to a Product The rights attached to the program must not depend on the program’s being part of a particular software distribution. If the program is extracted from that distribution and used or distributed within the terms of the program’s license, all parties to whom the program is redistributed should have the same rights as those that are granted in conjunction with the original software distribution. Rationale: This clause forecloses yet another class of license traps. 9. License Must Not Restrict Other Software The license must not place restrictions on other software that is distributed along with the licensed software. For example, the license must not insist that all other programs distributed on the same medium must be open source software. Rationale: Distributors of open source software have the right to make their own choices about their own software. Yes, the GPL v2 and v3 are conformant with this requirement. Software linked with GPLed libraries only inherits the GPL if it forms a single work, not any software with which they are merely distributed. 10. License Must Be Technology-Neutral No provision of the license may be predicated on any individual technology or style of interface. Rationale: This provision is aimed specifically at licenses which require an explicit gesture of assent in order to establish a contract between licensor and licensee. Provisions mandating so-called “click-wrap” may conflict with important methods of software distribution such as FTP download, CD-ROM anthologies, and web mirroring; such provisions may also hinder code re-use. Conformant licenses must allow for the possibility that (a) redistribution of the software will take place over non-Web channels that do not support click-wrapping of the download, and that (b) the covered code (or re-used portions of covered code) may run in a non-GUI environment that cannot support popup dialogues. The Open Source Definition was originally derived from the Debian Free Software Guidelines (DFSG). 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https://stackoverflow.blog/author/cthomas/ | Caroline Thomas - Stack Overflow Blog Loading… Everything Productivity AI/ML Open Source Business Hub Company Releases Podcast Newsletter Stack Overflow Business Stack Internal : the knowledge intelligence layer that powers enterprise AI. Stack Data Licensing : decades of verified, technical knowledge to boost AI performance and trust. Stack Ads : engage developers where it matters — in their daily workflow. Staff Caroline Thomas December 31, 2025 A look under the hood: How (and why) we built Question Assistant Evaluating question quality and determining the appropriate feedback required some classic ML techniques in addition to our GenAI solution. Derek Cheng , Caroline Thomas , Ryan Donovan 3 comment s questions staging ground Question Assistant AI ML Engineering September 2, 2025 Introducing your newest study buddy: AI Assist Get answers instantly, learn along the way and connect with the Stack Overflow community. Caroline Thomas 1 comment Back to school July 7, 2025 Getting creative with Coding Challenges An experiment to level up your coding skills on Stack Overflow, while learning in a space that welcomes creative problem-solving. Discover how we built it. Phoebe Sajor , Caroline Thomas 0 comment s coding creative coding creative code learning coding community Community May 24, 2023 How to use marketing techniques to build a better resume If you want to get the attention of a employer, marketing has the techniques to get you there. Caroline Thomas 4 comment s Code for a Living jobs resume Our Stack Stack Internal Features Customers Security Pricing Stack Data Licensing Stack Ads Partnerships Services Stack Overflow Company Leadership Press Careers Social Impact Support Contact Stack Overflow help Stack Internal help Terms Privacy policy Cookie policy Your Privacy Choices Elsewhere Blog Dev Newsletter Podcast Releases Dev Survey Site design / logo © 2026 Stack Exchange Inc. Light Dark Auto | 2026-01-13T08:48:28 |
https://www.linkedin.com/top-content/career/ | Top Career Content from LinkedIn Members Skip to main content LinkedIn Top Content People Learning Jobs Games Join now Sign in Top Content Career Explore top LinkedIn content from expert professionals. Jason Feng Jason Feng is an Influencer How-to guides for junior lawyers | Construction lawyer 82,399 followers 5mo Report this post As a junior lawyer, I had to learn how to make it easy for supervisors to review my work. In case it helps, here's a step-by-step guide (with an example): 1️⃣Make it clear what the matter / document is and when input is needed. 2️⃣ Set out the context and approach to preparing the deliverable What needs to be reviewed, how was it prepared, and what’s the timeline? If you're attaching a document, include the live link to your file management platform (e.g. iManage or Sharepoint) as well as a static version. 3️⃣ Set out the next steps and your ask Make it clear what your supervisor needs to review. Set this out at the top of your email and proactively provide some recommendations. You can also follow up in person to make sure deadlines aren't missed. 4️⃣ Explain how the draft is marked up Make it easy to navigate with specific questions (either in the document or extracted in the email). If there are mark ups against a particular document / version, identify what that is. 5️⃣ Summarise your inputs Let them know what your draft reflects, and attach the relevant inputs so they can see everything in one place. This will give your supervisor confidence that you've captured everything, and make it easier for them to check your work. 6️⃣ Flag key aspects / assumptions If there are key assumptions / principles that have a big impact on how your draft is prepared, it's helpful to set them out in the email as a point of focus. Try to also set out the relevant clause / section / reference where possible. Is there anything else that you'd add? What else have you found helpful in making drafts easier to review, either as a junior lawyer or a supervisor? ------ Btw, if you're a junior lawyer looking for practical career advice - check out the free how-to guides on my website. You can also stay updated by sending a connection / follow. #legalprofession #lawyers #lawstudents #lawfirms …more No more previous content No more next content 3,345 75 Comments Like Comment Share Copy LinkedIn Facebook X Reno Perry #1 for Career Coaching on LinkedIn. I help senior-level ICs & people leaders grow their salaries and land fulfilling $200K-$500K jobs —> 300+ placed at top companies. 556,494 followers 1y Report this post Simple, yet powerful advice from this manager at Facebook. Ditch the fluff. Works for… Your Resume Job Interviews Talking to Execs As a Career Advisor with Teal , I’ve reviewed hundreds of resumes. One of the biggest issues I see? Too many adjectives. Not enough evidence. Too many generic bullet points. Not enough results. Recent grads to seasoned VPs all making this same mistake. I know it’s costing them interviews. This simple formula from Google can help: Accomplished [X] as measured by [Y], by doing [Z] [X] = What you did Example: “Increased sales” [Y] = How you measured it Example: “by 30%” [Z] = How you did it Example: “using a new social media strategy focused on organic reach” Complete Bullet Point: “Increased sales by 30% using a new social media strategy focused on organic reach.” Use this formula to stand out to more recruiters & hiring managers! ( 📌 One thing I like about Teal’s AI Resume Builder: it will create or improve your bullet points using the XYZ Formula by default so you don’t have to worry about it. You can then make edits as you like) ---- Reshare ♻️ to help others with their job hunt And follow me for more posts like this. …more No more previous content No more next content 2,059 174 Comments Like Comment Share Copy LinkedIn Facebook X Marie-Doha Besancenot Senior advisor for Strategic Communications, Cabinet of 🇫🇷 Foreign Minister; #IHEDN, 78e PolDef 39,114 followers 3mo Report this post 🇺🇸 Terrific reference doc on Irregular Warfare, shedding light on U.S doctrine &challenges in defining irregular warfare. 116 p by the Center for Army Lessons Learned , June 2025 🔹Irregular Warfare (IW) considered central to modern conflict &recognized as more common than conventional warfare 🔹IW + conventional warfare considered complementary -NOT separate/ hybrid: can be woven together across the competition continuum 🔹“using military and nonmilitary means—overt, clandestine, or covert—to achieve policy objectives without seeking outright domination“ Key doctrine: 🔹irregular activities included during competition below armed conflict to create &exploit strategic advantages to win without fighting. 🔹During armed conflict IW adds lethal force to compel enemies, at levels that prevent escalation & help avoid high risk of conventional warfare 🔹Ongoing work emphasizes integrating irregular activities into joint campaigns, combining conventional & special ops forces with multinational, interagency& private sector actors 🔹 IW considered a core competency in National strategies: essential in countering great-power competition. DOD directives mandate equal proficiency in conventional and irregular warfare 🔹Allied perspectives: misconceptions around IW &underinvestment 🔹Information domain is decisive: ie: Ukraine’s social media strategy and Israel’s contested X narratives 1️⃣2️⃣ Irregular Warfare Operations: 1. Unconventional Warfare Support resistance or insurgent groups (covertly, overtly, indirectly) to coerce, disrupt, overthrow hostile regimes. 2. Foreign Internal Defense (FID) Assist host nations in countering internal threats (insurgency, terrorism, lawlessness) through whole-of-gov support 3. Counterinsurgency (COIN) Blend mil& civilian efforts to defeat insurgencies &address root causes, strengthening gov legitimacy 4. Counterterrorism (CT) Neutralize terrorist networks to prevent them from using violence to coerce 5. Stability Activities Restore/maintain safe environments, essential services, governance, humanitarian relief after crises 6. Security Cooperation (SC) Build partner &ally defense capacity, interoperability while advancing U.S security interests 7. Security Force Assistance (SFA) Train, equip, advise foreign security forces to develop capacity for long-term stability 8. Counter Threat Finance (CTF) Deny adversaries ability to fund operations by disrupting illicit & licit financial flows 9. Counter Threat Networks (CTN) Identify &neutralize adaptive adversarial networks that threaten U.S goals. 10. Military Information Support Operations (MISO) Influence foreign audiences’ attitudes &behaviors through tailored messaging to achieve U.S objectives 11. Civil-Mil Operations (CMO) Coordinate with civil authorities to reduce friction,build trust, support mil ops 12. Civil Affairs Operations (CAO) Conduct specialized engagements with civi populations/institutions to address instability,governance&recovery needs …more 291 8 Comments Like Comment Share Copy LinkedIn Facebook X Alex Su Alex Su is an Influencer Chief Revenue Officer at Latitude // Stanford Law Fellow 99,717 followers 1y Report this post It's the end of the year, and I know quite a few you lawyers out there are thinking about pivoting to a business role. Over the past decade, I’ve had a chance to work directly with 50+ lawyers in all kinds of business roles, including sales, customer success, recruiting, product, etc. and at all levels ranging from entry-level to CEO. It’s given me the chance to identify three common themes about those who have seamlessly made the transition: 1. They rely on their strengths, but don’t make “lawyer” their main thing. Lawyers bring a lot of professional assets the table: generally, we’re detail oriented, highly reliable, and have strong communication skills. All of that is super helpful in any job—but only to the extent it enables us achieve the objectives in our non-legal, business role. For example: It’s great to be someone who reviews documents carefully, not so great to be someone who raises all potential legal risks in every contract they read. 2. They are great at issue-spotting, but with an eye for opportunity, not risk. In your first post-law job, it’s common to be overwhelmed by everything "wrong" that your new colleagues are doing. But here’s why: You have been professionally trained to instinctively think about legal risks & negative outcomes. Instead, consider forcing yourself to issue-spot for hidden opportunities that can help you achieve your business objectives. This may require a dramatic mindset shift, but I promise you it’s worth it. 3. They make the people around them feel important. This is especially challenging for the most senior/successful lawyers who make the pivot, because they’re likely used to being the “most important person” in most rooms they're in (think law firm managing partners & GCs). In a business role, you are constantly engaging with people—internal and external—who you constantly have to win over, with zero "power" over them. Active listening and empathy is a superpower in this world. Just to be clear, these are all based off my anecdotal experience working in smaller high growth business environments. They also include a ton of generalizations. If you've successfully made the transition and have a different view, or if you'd just like to share your own experience, I would love to hear your thoughts in the comments! …more 556 59 Comments Like Comment Share Copy LinkedIn Facebook X Saheli Chatterjee Marketing Strategist @Koffee Media | Helping entrepreneurs with Marketing, AI Tools & Revenue Growth | $10M+ In Revenue Generated. 378,833 followers 1y Report this post I get 1M+ Impressions every week. 💥 My most underrated strategy? Pattern Interrupt. 🚨 Pattern Interrupt is all about: ~ Kicking off with a similarity ✅ ~ But then, disrupting the expected patterns 🤯 ~ Breaking norms that users are accustomed to seeing on their feeds. 💥 But how do you do it? By presenting something novel, counterintuitive or provocative, you essentially "interrupt" their mindless scrolling habits. 🧠 An Example of Pattern Interrupt content for LinkedIn: >>Contrarian Perspectives 💯 Instead of posting the typical motivational quote or vanilla career advice, share a bold, controversial opinion that challenges conventional wisdom in your industry. Ex: "Personal Branding is only for CEOs, right? Wrong." 😲 Actionable: ~ Make a list of common beliefs or practices in your field. ✍️ ~ Craft an eyebrow-raising hot take to spark discussion. 🔥 ~ Support with your logic. 📈 The key with Pattern Interrupt is balancing thought-provocation with relevance and value. Don't just say outrageous things for shock value. ❌ Provide a fresh, insightful perspective that ACTUALLY enriches your audience's lives/work while giving them HOOK to pay attention. 🎣 …more No more previous content No more next content 1,437 147 Comments Like Comment Share Copy LinkedIn Facebook X Ian Koniak Ian Koniak is an Influencer I help tech sales AEs perform to their full potential in sales and life by mastering their mindset, habits, and selling skills | Sales Coach | Former #1 Enterprise AE at Salesforce | $100M+ in career sales 97,449 followers 9mo Report this post For my first 16 years in tech sales, I averaged 240K/year W2 income. In my last 4 years, I averaged 720K/year. In order to triple my income, I had to change my sales approach entirely. Here's what I changed: I started using a new approach that I now call Yo-yo selling: 🪀 Yo-yo selling emphasizes starting at the executive level, conducting thorough discovery within the organization, and then returning to the executive with a tailored business case. Like holding a yo-yo, you are constantly in communication with the Executive Sponsor and updating them as you collect information and conduct deep discovery lower down in their organization. You are literally going up and down the organization, but always taking everything back to the Executive Sponsor to surface your findings along the way. Here's a breakdown of the framework: 🎯 𝐈𝐚𝐧 𝐊𝐨𝐧𝐢𝐚𝐤’𝐬 “𝐘𝐨-𝐘𝐨 𝐒𝐞𝐥𝐥𝐢𝐧𝐠” 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤 This strategy involves a three-step process: 1. Start at the Top (Executive Engagement) Initiate contact with a senior executive to understand their most pressing challenges, the reasons behind the need for change, and the consequences of inaction. If your solution aligns with their needs, secure their sponsorship for further discovery within their organization. To secure the Executive Meetings, it's essential to create a tailored POV (point of view) on where you think you may be able to help them based on your initial research of their highest level goals and priorities. Chat GPT has made this research a LOT faster now. 2. Conduct In-Depth Discovery (Middle Management) Engage with department heads and key stakeholders to uncover the day-to-day challenges they face. Focus on understanding their processes, pain points, and the implications of current inefficiencies. Gather direct quotes and insights to build a comprehensive view of the organization's needs. 3. Return to the Executive (Present Findings) Compile the insights gathered into an executive summary and business case. Present this to the executive sponsor, highlighting how your solution addresses the identified challenges. Tailor your demonstration to focus solely on relevant aspects that solve their specific problems. 🚀 Why It Works 1. Accelerates Sales Cycles: Engaging executives early ensures alignment and expedites decision-making. 2. Builds Credibility: Demonstrates a deep understanding of the organization's challenges and showcases a tailored solution. 3. Facilitates Internal Buy-In: By involving various stakeholders, you ensure that the solution meets the needs of all parties, increasing the likelihood of adoption. I'm pleased to share that that Yo-yo selling was recently awarded as a Top 15 Sales Tactic of All Time by 30 Minutes to President's Club , and I received a cool plaque for entering the 30MPC Hall of Fame. Since I have no chance of entering the Hall of Fame for my baseball or golf game, this is a nice consolation prize 😁 …more No more previous content No more next content 1,148 71 Comments Like Comment Share Copy LinkedIn Facebook X Katie Bashant Day Replacing Fetal Bovine Serum @ Media City Scientific | PhD in Medicine | GAICD 7,721 followers 1y Report this post I’ve reviewed thousands of job applications from academic scientists looking to move into biotech startups. Here’s how the best applications stood out ⤵️ Sharing this for folks graduating from PhDs this year or thinking about a change - it’s still a tough market out there, but one that’s hopefully improving! _______ 1️⃣ Show how your personal values align to the company mission. Why? Startups want to change the future. Demonstrate you’ve been independently working towards that same future → this indicates you’ll work hard & find the day to day meaningful. How? Example, for a company developing phages to treat antibiotic resistant bacteria: ✅ My PhD research focused on optimising a gene therapy for children suffering from grey platelet syndrome. During that time, I volunteered in the pediatrics ward. I am motivated by improving health outcomes for the most vulnerable. ❌ Having finished my PhD, I am looking to make the jump into industry. _______ 2️⃣ Directly explain how your scientific expertise can solve the startup’s problems. Why? This shows your ability to connect the dots between “the company problem that needs to be solved” and “the impact I can have.” Startup MVPs have proactivity in spades. How? Example, for a company developing cultured meat: ✅ A big problem for the cultured meat industry is developing immortalised, scalable cell lines. As a genetic engineer, I can generate cell lines capable of feeding millions of people. ❌ My 6 years of experience with mammalian cell culture and background in genetic editing make me a great fit for your company. _______ 3️⃣ Incorporate metrics (beyond publications!) into your resume. Why? Publications = academic currency. Scientific breakthroughs allowing a company to get profitable and survive = startup currency. Publications require detailed science capable of getting past peer-review. Startups require time-boxed, outcomes-oriented science. That’s really different! Metrics indicate you already understand that shift in mindset - and no matter what your project focused on, you can frame it in terms of startup-relevant metrics. How? ✅ Supported two summer students to achieve xyz outcome in three months ✅ Generated 5 novel immune complexes in 2 months ✅ Achieved XYZ while dropping experiment costs by 20% ❌ Conducted a research project analysing how XYZ ❌ Published in a prestigious journal. _______ 4️⃣ Show - don’t state - your communication & collaboration skills. Why? These skills are 10x more important when working at a fast pace with people from different professional backgrounds. How? ✅ Three-minute thesis contest ✅ Industry/startup work experience ✅ Engagement with an entrepreneurship community ✅ Cross-discipline collaboration ✅ A well-written career summary connecting the dots between your skills & the value you can bring to the company. As always, builds or add-ons welcome: I made some of these mistakes when I first graduated from my PhD, you don’t have to 😉 …more 743 56 Comments Like Comment Share Copy LinkedIn Facebook X Brian Honigman Brian Honigman is an Influencer Career Freelancer • Marketing Consultant • LinkedIn Instructor: 950K+ Trained • Career Coach for Marketers & Freelancers 52,674 followers 2y Report this post How do you build a long-lasting career as a freelancer, instead of it being a stopgap or short-lived side hustle? For starters, optimize for interesting, focus on financial longevity, and diversify your offerings. Passing the decade milestone as a freelancer, I’ve identified what’s helped to sustain my interest in the work, continue to drive demand from clients, and other insights that have made self-employment a viable, rewarding path. In my latest for Fast Company , I explore lessons in building a long-term practice based on what’s proven effective for myself and other freelancers. ➤ Niche down strategically so it’s clear what you offer, the types of clients you serve, and what’s unique about your expertise. You can’t be everything for everyone, get specific instead. ➤ Consistently share your ideas publicly, whether through podcasting, a newsletter, or otherwise so clients find you based on your insightful ideas and solutions. ➤ Craft a deployable network. According to Lola Bakare , build relationships with colleagues across sectors, and when the time is right, deploy their willingness to support you. “Be very willing to not just ask for help, but surround yourself in help,” she suggests. You can’t just rely on yourself to make it happen. ➤ Secure social proof. “Over-index on social proof. Early in your career, it's essential to ensure you're being taken seriously,” advises Dorie Clark . “The best way to do this is to gather as much social proof - i.e., easily understood and verifiable symbols of your competence - as quickly as possible.” ➤ Prioritize reliability. “This doesn't mean you have to perform perfectly. It means that you need to show that you value the relationship, and have appreciation and respect for clients who've hired you. That means doing what you've committed to doing, when you've committed to do it, and ensuring open communication around that process,” says Melissa Doman, M.A. ➤ Commit to yearly growth by setting aside time annually to go in-depth on a new learning opportunity that allows you to explore a new area of your business or expand upon an existing offering. ➤ Learn from missteps. “We will all make mistakes, and in my early years, I made a costly error when I relied on a verbal agreement with a friend. That experience taught me the indispensable value of contracts. By clearly defining what our services include—and do not include—we eliminate confusion and potential disputes. It's a preventive measure that has saved me from challenging clients,” added Nicte Cuevas . ➤ Pass on misaligned work. “Many freelancers burn out by working for difficult clients at low rates and then quit. They do this because they need the work — any work. If you can help it, don’t go full-time until you have enough savings to confidently turn work down. Even better, don’t go full-time until your business is threatening to interfere with your job,” suggests Josh Garofalo . Read the article below for all the lessons in more detail. ⭐ …more No more previous content No more next content 350 105 Comments Like Comment Share Copy LinkedIn Facebook X Shivani Gera Building Financial Literacy in India & Beyond | YP at SEBI | EY | IIM-K (MDP)| Investment Banking | Featured at LI News India | Moody’s Analytics | Deloitte 198,414 followers 8mo Report this post 𝐖𝐚𝐢𝐭… 𝐢𝐬 𝐭𝐡𝐢𝐬 𝐦𝐞? Yes. That awkward moment when you’re just casually scrolling LinkedIn, and suddenly- boom- you see YOUR face on a post. “𝗘𝗬 𝗶𝘀 𝗵𝗶𝗿𝗶𝗻𝗴! 𝗗𝗠 𝗺𝗲 𝗳𝗼𝗿 𝗿𝗲𝗳𝗲𝗿𝗿𝗮𝗹!” Picture? Mine. Details? Fake. And the worst part? This wasn’t just one post. In 5 minutes, I found two different accounts using my photo to promote fake job openings. Curious? Search this on LinkedIn: #𝐄𝐘 𝐉𝐨𝐛 𝐎𝐩𝐞𝐧𝐢𝐧𝐠𝐬 𝐀𝐩𝐫𝐢𝐥 2025 You’ll find countless posts- many with stolen images, random job links, and fake promises. Now here’s what some uncle aunties will say: “𝐈𝐭’𝐬 𝐚𝐧 𝐨𝐩𝐞𝐧 𝐩𝐫𝐨𝐟𝐢𝐥𝐞. 𝐀𝐧𝐲𝐨𝐧𝐞 𝐜𝐚𝐧 𝐮𝐬𝐞 𝐢𝐭.” Sure, make me famous. I don’t mind free promotion. But using my face for fake hiring posts? That’s not okay. You’re not just messing with my identity- You’re playing with the hopes and emotions of thousands of people desperately searching for a job. I tried reporting. I commented on these posts. They either delete my comments or block me. Every. Single. Time. So here I am, sharing this as an awareness post Not for me, but for every job seeker out there. Before you apply: • Check the profile posting the job • Is it verified? • Do they even work at the company? • Or are they just fishing for engagement? 𝐓𝐨 𝐭𝐡𝐞 𝐣𝐨𝐛 𝐬𝐞𝐞𝐤𝐞𝐫𝐬: I know how hard it is out there. I know the desperation. But if jobs were that easy to get via random DMs, everyone would be employed by now. Please be cautious. 𝐀𝐧𝐝 𝐭𝐨 𝐭𝐡𝐨𝐬𝐞 𝐟𝐚𝐤𝐢𝐧𝐠 𝐢𝐭: Do you have any ethics left? You’re using someone’s real photo to post imaginary jobs- just for likes and comments? You’re playing with people’s dreams. That’s not content- it’s cruelty. Next time you see a logo, a company name, a happy employee pic-pause. Don’t fall for every glittery post. Let’s be more aware. Let’s protect each other. And let’s keep LinkedIn real. LinkedIn LinkedIn News India LinkedIn Guide to Networking LinkedIn Guide to Creating #fakejobs #fakehiring #awarenesspost #mindful #linkedin …more +15 No more previous content No more next content 4,255 212 Comments Like Comment Share Copy LinkedIn Facebook X Brij kishore Pandey Brij kishore Pandey is an Influencer AI Architect | AI Engineer | Generative AI | Agentic AI 701,697 followers 1y Report this post Starting Your CI/CD Journey 1. 𝗦𝘁𝗮𝗿𝘁 𝗦𝗺𝗮𝗹𝗹, 𝗧𝗵𝗶𝗻𝗸 𝗕𝗶𝗴 - Don't try to overhaul your entire codebase at once - Begin with a small project as your pilot - Gradually expand your CI/CD pipeline as you gain experience and confidence 2. 𝗚𝗲𝘁 𝗧𝗲𝗮𝗺 𝗕𝘂𝘆-𝗜𝗻 - CI/CD is a significant shift in workflow - ensure your team is on board - Educate your team on the benefits of CI/CD: - Faster time to market - Improved code quality - Reduced manual errors - Address concerns and foster a culture of continuous improvement 3. 𝗘𝗺𝗯𝗿𝗮𝗰𝗲 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 - The heart of CI/CD is automation - the more, the better - Look for opportunities to automate manual tasks in your development lifecycle Key Automation Milestones Strive to reach these crucial automation checkpoints in your CI/CD journey: 1. 𝗨𝗻𝗶𝘁 𝗧𝗲𝘀𝘁 𝗘𝘅𝗲𝗰𝘂𝘁𝗶𝗼𝗻 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 - Ensure all unit tests run automatically with each code change 2. 𝗕𝘂𝗶𝗹𝗱 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 - Automate your build process to create consistent, reproducible builds 3. 𝗖𝗼𝗱𝗲 𝗖𝗼𝘃𝗲𝗿𝗮𝗴𝗲 𝗖𝗵𝗲𝗰𝗸 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 - Automatically measure and report on code coverage for each build 4. 𝗖𝗼𝗱𝗲 𝗤𝘂𝗮𝗹𝗶𝘁𝘆 𝗖𝗵𝗲𝗰𝗸 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 - Implement automated code quality checks to maintain high standards 5. 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗦𝗰𝗮𝗻𝗻𝗶𝗻𝗴 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 - Integrate automated security scans to catch vulnerabilities early 6. 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗲𝗱 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁𝘀 𝘄𝗶𝘁𝗵 𝗚𝗮𝘁𝗶𝗻𝗴 - Set up automated deployments with quality gates to ensure only validated code reaches production 7. 𝗙𝗲𝗲𝗱𝗯𝗮𝗰𝗸 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 𝘁𝗼 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗧𝗲𝗮𝗺𝘀 - Establish automated feedback loops to keep production teams informed 8. 𝗕𝗶𝗻𝗮𝗿𝘆 𝗦𝘁𝗼𝗿𝗮𝗴𝗲 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 𝗶𝗻𝘁𝗼 𝗥𝗲𝗽𝗼 𝗠𝗮𝗻𝗮𝗴𝗲𝗿 - Automate the storage of build artifacts in a repository manager 9. 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗦𝗲𝘁𝘂𝗽 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 - Implement Infrastructure as Code (IaC) to automate environment setups Pro Tips for CI/CD Success - 𝗖𝗼𝗻𝘁𝗶𝗻𝘂𝗼𝘂𝘀 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: Stay updated with the latest CI/CD tools and best practices - 𝗠𝗲𝘁𝗿𝗶𝗰𝘀 𝗠𝗮𝘁𝘁𝗲𝗿: Track key performance indicators (KPIs) to measure the impact of your CI/CD implementation - 𝗜𝘁𝗲𝗿𝗮𝘁𝗲 𝗮𝗻𝗱 𝗜𝗺𝗽𝗿𝗼𝘃𝗲: Regularly review and refine your CI/CD pipeline based on team feedback and changing project needs How has implementing CI/CD transformed your development process? 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https://docs.devcycle.com/cli-mcp/mcp-reference | MCP Reference | DevCycle Docs Skip to main content Home SDKs APIs Management API Bucketing API Integrations CLI / MCP Best Practices Community Blog Discord Search Sign Up CLI / MCP Overview CLI CLI Reference CLI User Guides Projects Environments SDK Keys Features Variables Variations Targeting Rules Self-Targeting CLI User Guides MCP MCP Getting Started MCP Reference MCP User Guides Incident Investigation MCP MCP Reference On this page DevCycle MCP Reference This page provides comprehensive documentation for all DevCycle MCP tools. For setup instructions, see MCP Getting Started . Available Tools The DevCycle MCP Server provides comprehensive feature flag management capabilities through tools organized into 6 categories : Feature Management Variable Management Project Management Self-Targeting & Overrides Results & Analytics SDK Installation info Production Safety Tools marked ⚠️ can affect production - confirm before proceeding Tools marked ⚠️⚠️ are destructive - require extra confirmation Feature Management list_features List all features in the current project with optional search and pagination. Parameters: search (optional): Search query to filter features (minimum 3 characters) page (optional): Page number (default: 1) perPage (optional): Items per page (default: 100, max: 1000) sortBy (optional): Sort field ( createdAt , updatedAt , name , key , createdBy , propertyKey ) sortOrder (optional): Sort order ( asc , desc ) staleness (optional): Filter by staleness ( all , unused , released , unmodified , notStale ) createdBy (optional): Filter by creator user ID type (optional): Feature type ( release , experiment , permission , ops ) status (optional): Feature status ( active , complete , archived ) create_feature ⚠️ Create a new feature flag. Parameters: key : Unique feature key (pattern: ^[a-z0-9-_.]+$ ) name : Human-readable name (max 100 chars) description (optional): Feature description (max 1000 chars) type (optional): Feature type ( release , experiment , permission , ops ) tags (optional): Array of tags for organization variations (optional): Array of variations with key, name, and variables configurations (optional): Environment-specific configurations sdkVisibility (optional): SDK visibility settings variables (optional): Array of variables to create or reassociate with this feature controlVariation (optional): The key of the variation that is used as the control for Metrics settings (optional): Feature-level settings configuration update_feature ⚠️ Update an existing feature flag. Parameters: key : Feature key to update name (optional): New name description (optional): New description type (optional): New type tags (optional): New tags variations (optional): Updated variations variables (optional): Updated array of variables for this feature settings (optional): Updated feature-level settings configuration sdkVisibility (optional): Updated SDK visibility settings controlVariation (optional): Updated control variation key for Metrics update_feature_status ⚠️ Update the status of a feature flag. Parameters: key : Feature key status : New status ( active , complete , archived ) staticVariation (optional): Variation to serve if status is complete delete_feature ⚠️⚠️ Delete a feature flag from ALL environments. Parameters: key : Feature key to delete cleanup_feature Fetch the DevCycle Feature Cleanup prompt and return its markdown content to guide safe cleanup of a completed feature and its variables in codebases. Parameters: featureKey : The feature key you plan to clean up (used for context in the prompt) get_feature_audit_log_history Get feature flag audit log history from DevCycle. Returns audit log entities matching the DevCycle API schema with date, a0_user, and changes fields. Parameters: feature_key : Feature key page (optional): Page number for pagination (default: 1) perPage (optional): Number of items per page (default: 100, max: 1000) sortBy (optional): Field to sort by ( createdAt , updatedAt , action , user ) (default: createdAt ) sortOrder (optional): Sort order ( asc , desc ) (default: desc ) startDate (optional): Start date for filtering (ISO 8601 format) endDate (optional): End date for filtering (ISO 8601 format) environment (optional): Environment key to filter by user (optional): User ID to filter by action (optional): Action type to filter by Variable Management list_variables List all variables in the current project. Parameters: search (optional): Search query page (optional): Page number perPage (optional): Items per page create_variable ⚠️ Create a new variable. Parameters: key : Unique variable key (pattern: ^[a-z0-9-_.]+$ ) type : Variable type ( String , Boolean , Number , JSON ) name (optional): Variable name description (optional): Variable description defaultValue (optional): Default value _feature (optional): Associated feature key validationSchema (optional): Validation rules update_variable ⚠️ Update an existing variable. Parameters: key : Variable key to update name (optional): New name description (optional): New description type (optional): New type validationSchema (optional): New validation rules delete_variable ⚠️⚠️ Delete a variable from ALL environments. Parameters: key : Variable key to delete SDK Installation install_devcycle_sdk Fetch DevCycle SDK installation instructions and follow the guide to install the SDK. Includes documentation and examples for using the SDK in your application. Parameters: guide : One of android , android-openfeature , angular , dotnet , dotnet-openfeature , flutter , go , go-openfeature , ios , ios-openfeature , java , java-openfeature , javascript , javascript-openfeature , nestjs , nestjs-openfeature , nextjs , nodejs , nodejs-openfeature , php , php-openfeature , python , python-openfeature , react , react-native , react-openfeature , roku , ruby , ruby-openfeature Project Management list_projects List all projects in the organization. Parameters: search (optional): Search query page (optional): Page number (default: 1) perPage (optional): Items per page (default: 100, max: 1000) sortBy (optional): Sort field ( createdAt , updatedAt , name , key , createdBy ) sortOrder (optional): Sort order ( asc , desc ) createdBy (optional): Filter by creator user ID get_current_project Get details of the currently selected project. Parameters: None select_project Select a project to use for subsequent MCP operations. Returns the current project, its environments, and SDK keys. Parameters: projectKey (optional): Project key to select (if omitted, lists available projects to choose from) Self-Targeting & Overrides get_self_targeting_identity Get current DevCycle identity for self-targeting. Parameters: None update_self_targeting_identity Update DevCycle identity for testing. Parameters: dvc_user_id : DevCycle User ID (use empty string to clear) list_self_targeting_overrides List all active overrides for the current project. Parameters: None set_self_targeting_override ⚠️ Set an override to test a specific variation. Parameters: feature_key : Feature key environment_key : Environment key variation_key : Variation to serve clear_feature_self_targeting_overrides ⚠️ Clear overrides for a specific feature/environment. Parameters: feature_key : Feature key environment_key : Environment key Results & Analytics get_feature_total_evaluations Get total variable evaluations per time period for a specific feature. Parameters: featureKey : Feature key startDate (optional): Start date as Unix timestamp (milliseconds since epoch) endDate (optional): End date as Unix timestamp (milliseconds since epoch) platform (optional): Platform filter for evaluation results variable (optional): Variable key filter for evaluation results environment (optional): Environment key to filter results period (optional): Time aggregation period ( day , hour , month ) sdkType (optional): Filter by SDK type ( client , server , mobile , api ) get_project_total_evaluations Get total variable evaluations per time period for the entire project. Parameters: startDate (optional): Start date as Unix timestamp (milliseconds since epoch) endDate (optional): End date as Unix timestamp (milliseconds since epoch) platform (optional): Platform filter for evaluation results variable (optional): Variable key filter for evaluation results environment (optional): Environment key to filter results period (optional): Time aggregation period ( day , hour , month ) sdkType (optional): Filter by SDK type ( client , server , mobile , api ) Authentication Methods 1. CLI Authentication (Recommended for local development) dvc login sso dvc projects select 2. Environment Variables (Recommended for CI/CD) export DEVCYCLE_CLIENT_ID="your-client-id" export DEVCYCLE_CLIENT_SECRET="your-client-secret" export DEVCYCLE_PROJECT_KEY="your-project-key" Advanced Configuration Local MCP Server Installation For users who prefer to run the DevCycle MCP server locally rather than using the hosted version, you can install and configure the local server: Prerequisites Node.js 18+ installed DevCycle CLI installed globally: npm install -g @devcycle/cli DevCycle account with API credentials or SSO authentication Installation Install the DevCycle CLI which includes the local MCP server: npm install -g @devcycle/cli Authentication Choose one of the following authentication methods: Option 1: CLI Authentication (Recommended for local development) # Authenticate via SSO dvc login sso # Select your project dvc projects select Option 2: Environment Variables (Recommended for CI/CD) export DEVCYCLE_CLIENT_ID="your-client-id" export DEVCYCLE_CLIENT_SECRET="your-client-secret" export DEVCYCLE_PROJECT_KEY="your-project-key" AI Editor Configuration Cursor VS Code Claude Code Claude Desktop Windsurf Codex CLI Gemini CLI Add the following to your ~/.cursor/mcp_settings.json file: { "mcpServers" : { "devcycle" : { "command" : "dvc-mcp" } } } Add the following to your settings.json file: { "mcp.servers" : { "devcycle" : { "command" : "dvc-mcp" } } } Run the following command: claude mcp add --transport stdio devcycle dvc-mcp Locate and edit your Claude Desktop configuration file: macOS : ~/Library/Application Support/Claude/claude_desktop_config.json Windows : %APPDATA%\Claude\claude_desktop_config.json Add the following configuration: { "mcpServers" : { "devcycle" : { "command" : "dvc-mcp" } } } In Windsurf Settings → Cascade → Manage MCPs → View raw config: { "mcpServers" : { "devcycle" : { "command" : "dvc-mcp" } } } Locate and edit your configuration file at ~/.codex/config.toml : [mcp_servers.devcycle] command = "dvc-mcp" For more details, see the OpenAI Codex MCP documentation . Locate and edit your configuration file at ~/.gemini/settings.json : { "mcpServers" : { "devcycle" : { "command" : "dvc-mcp" } } } For more details, see the Gemini CLI MCP documentation . Error Handling The MCP server returns structured error responses: { "errorType" : "AUTHENTICATION_ERROR" , "errorMessage" : "401 Unauthorized" , "toolName" : "list_features" , "suggestions" : [ "Re-authenticate with DevCycle (run \"dvc login sso\" for CLI for local MCP or re-login through OAuth for remote MCP)" , "Verify your API credentials are correct" , "Check if your token has expired" ] , "timestamp" : "2025-07-01T00:00:00.000Z" } Fields: errorType : One of AUTHENTICATION_ERROR , PERMISSION_ERROR , RESOURCE_NOT_FOUND , VALIDATION_ERROR , SCHEMA_VALIDATION_ERROR , RATE_LIMIT_ERROR , NETWORK_ERROR , PROJECT_ERROR , UNKNOWN_ERROR . errorMessage : Human-readable error description. toolName : The MCP tool that produced the error. suggestions : Remediation steps tailored to the error type. timestamp : ISO 8601 timestamp when the error was generated. Common error scenarios: Authentication failures : Check credentials and project configuration API rate limits : Implement retry logic in your automation Validation errors : Ensure parameters meet requirements (patterns, lengths, etc.) Permission errors : Verify your API key has necessary permissions Development & Local Testing Running from Source # Clone the repository git clone https://github.com/DevCycleHQ/cli.git cd cli # Install dependencies yarn install # Build the project yarn build # Run the MCP server node dist/mcp/index.js Testing with AI Assistants For local testing, update your AI assistant configuration to point to the local build: { "mcpServers" : { "devcycle" : { "command" : "node" , "args" : [ "/path/to/cli/dist/mcp/index.js" ] } } } Debug Logging The MCP server logs all operations to stderr, which can be viewed in: Cursor: Developer Tools console Claude Desktop: Log files in the application support directory Environment Variables for Development # Enable verbose logging export DEBUG=1 # Use specific DevCycle API endpoint export DEVCYCLE_API_URL="https://api.devcycle.com" Getting Help GitHub Issues : GitHub Issues General Documentation : DevCycle Docs DevCycle Community : Discord Support : Contact Support Edit this page Last updated on Jan 9, 2026 Previous MCP Getting Started Next Incident Investigation Available Tools Feature Management Variable Management SDK Installation Project Management Self-Targeting & Overrides Results & Analytics Authentication Methods 1. CLI Authentication (Recommended for local development) 2. Environment Variables (Recommended for CI/CD) Advanced Configuration Local MCP Server Installation Error Handling Development & Local Testing Running from Source Testing with AI Assistants Debug Logging Environment Variables for Development Getting Help DevCycle Dashboard Blog Privacy Policy Twitter Discord GitHub Copyright © 2026 DevCycle. All rights reserved. | 2026-01-13T08:48:27 |
https://stackoverflow.blog/staging-ground/ | staging ground - Stack Overflow Blog Loading… Everything Productivity AI/ML Open Source Business Hub Company Releases Podcast Newsletter Stack Overflow Business Stack Internal : the knowledge intelligence layer that powers enterprise AI. Stack Data Licensing : decades of verified, technical knowledge to boost AI performance and trust. Stack Ads : engage developers where it matters — in their daily workflow. staging ground Staging Ground is a space where new askers get help from experienced users to improve their questions before posting to the broader community. Subscribe to the podcast Get The Stack Overflow Podcast at your favorite listening service. Apple Podcasts Overcast Overcast Pocket Casts Spotify RSS feed December 31, 2025 A look under the hood: How (and why) we built Question Assistant Evaluating question quality and determining the appropriate feedback required some classic ML techniques in addition to our GenAI solution. Derek Cheng , Caroline Thomas , Ryan Donovan 3 comment s questions staging ground Question Assistant AI ML Engineering February 3, 2025 Community Products Roadmap Update, January 2025 An update on recent launches and the upcoming roadmap. Des Darilek 0 comment s Community community update Knowledge as a service staging ground October 3, 2024 Community Products Roadmap Update, October 2024 We explore how our platform is evolving to support a new framework and business model, knowledge-as-a-service, and how we will incorporate this with our ongoing investment in our community. Des Darilek 0 comment s Community community update Knowledge as a service staging ground Show more Our Stack Stack Internal Features Customers Security Pricing Stack Data Licensing Stack Ads Partnerships Services Stack Overflow Company Leadership Press Careers Social Impact Support Contact Stack Overflow help Stack Internal help Terms Privacy policy Cookie policy Your Privacy Choices Elsewhere Blog Dev Newsletter Podcast Releases Dev Survey Site design / logo © 2026 Stack Exchange Inc. Light Dark Auto | 2026-01-13T08:48:29 |
https://opensource.org/affiliates/about | Become an OSI Affiliate – Open Source Initiative Skip to content Get involved About Licenses Open Source Definition Open Source AI Programs Blog Get involved About Licenses Open Source Definition Open Source AI Programs Blog Open Main Menu Home Affiliate Organizations Become an OSI Affiliate Become an OSI Affiliate Page created on May 22, 2012 | Last modified on April 19, 2024 What is an OSI Affiliate organization? The OSI Affiliates are organizations committed to public support for open source software and the role OSI plays therein. The current Affiliate membership is a whos-who of the world of open source software. How does my organization become an OSI Affiliate? Thanks for asking! Please review the Affiliate Agreement : if your organization meets the requirements , simply send us an email introducing your organization, and why you’re interested in joining the OSI via our contact form . We will follow up with more information on how to submit your signed application and how we can verify your organization is eligible. If you have any questions, please feel free to get in touch . Why Affiliates? The OSI has transitioned from its original governance model of volunteer and self-appointed directors to one driven by our membership. Our high-level objectives in doing so are to provide a broad meeting place communities of all kinds which depend upon and implement the mission of OSI, with the continuing aim of stewarding the license list and the Open Source Definition safely beyond undue influence by special interests, and in the longer term, of creating serendipity among communities so software freedom flows and grows. Who can join? OSI Affiliates include government-recognized non-profit charitable and not-for-profit industry associations, academic institutions (K12 & higher education) and user groups and communities, anywhere in the world. Why should we join? The OSI has reached a significant milestone in its history. As well as the benefit of associating your organization with OSI, your affiliation allows your organization to participate in the process of defining the future means by which OSI achieves its mission, both by joining in discussions about proposed changes and policies and by guiding the selection of members of its Board of Directors. What is the commitment? As an OSI Affiliate, your organization’s commitment would be: To express public support for open source and for the OSI To appoint a delegate to act on behalf of their group in OSI business and give direction to that delegate. While delegates will be welcome to also participate in working groups, we anticipate this delegated role involving a minimal time commitment by default. To make annual contributions towards the running of OSI where possible. How can Affiliates become more involved with OSI? In addition to its long-standing role as the standard-bearer for OSI Approved licenses, the OSI has established roles in education and open source advocacy. Replicating the success of the volunteer groups which have evaluated proposed open source licenses over the years, each new activity is supported by a volunteer group. A growing role for OSI as a coordination point for education and a meeting point for advocates for open source principles also represents opportunities for greater and more diverse participation in OSI-related activities. What about me? I don’t represent any of these organizations. A program for individual open source advocates has been established. Please see our members page for more information. I need more information before we can make a decision. OK, that’s reasonable. Please contact us so we can help you. How does my organization sign up? Thanks for asking! Please review the Affiliate Agreement : if your organization meets the requirements , simply send us an email introducing your organization, and why you’re interested in joining the OSI via our contact form . We will follow up with more information on how to submit your signed application and how we can verify your organization is eligible. If you have any questions, please feel free to get in touch . Get involved Mastodon Twitter LinkedIn Reddit About About Our team Board of directors Sponsors Programs Blog Press mentions Trademark Bylaws Licenses Open Source Definition Licenses License Review Process Open Standards Requirement for Software Open Source AI Open Source AI OSAI Definition Process Timeline Open Weights FAQ Checklist Forum Community Become an Individual Member Become an OSI Affiliate Affiliate Organizations Maintainers Events Forum OpenSource.net The content on this website, of which Opensource.org is the author, is licensed under a Creative Commons Attribution 4.0 International License . Opensource.org is not the author of any of the licenses reproduced on this site. Questions about the copyright in a license should be directed to the license steward. Read our Privacy Policy Proudly powered by WordPress. Hosted by Pressable. Manage Cookie Consent To provide the best experiences, we use technologies like cookies to store and/or access device information. 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https://circleci.com/ | Autonomous validation for the AI era - CircleCI Skip to content CircleCI Product Overview Product Demo Product roadmap Documentation Features Execution environments Chunk agent New MCP server New Build images Build optimization Autoscaling Premium support View all features Integrations GitHub GitLab Bitbucket AWS GCP Azure Kubernetes View all integrations Solutions Role Developers Platform engineers Security engineers Engineering managers Business leaders AI agents Use case Automation Continuous integration Mobile AI Release orchestration Security & compliance View all use cases Company size Enterprise SMB Startup Resources Developers Documentation Support portal Orbs registry Image registry Explore Customer stories Reports & guides Podcast Blog Topics Changelog Community Events Discuss forum Open source Why CircleCI Benefits Calculate your ROI Boost dev productivity Benchmark your team See customer wins Compare CircleCI vs GitHub Actions CircleCI vs Harness CircleCI vs Buildkite CircleCI vs Jenkins CircleCI vs Bitrise Company About us Careers Partners Newsroom Pricing Search Select language English Deutsch Español 日本語 한국인 Русский 英语 Log in Sign up Go to application Menu close Sign up Log in Go to application Product Solutions Resources Why CircleCI Pricing Search Back Product close Overview Product Demo Product roadmap Documentation Features Execution environments Chunk agent New MCP server New Build images Build optimization Autoscaling Premium support View all features Integrations GitHub GitLab Bitbucket AWS GCP Azure Kubernetes View all integrations Sign up Log in Go to application Search Back Solutions close Role Developers Platform engineers Security engineers Engineering managers Business leaders AI agents Use case Automation Continuous integration Mobile AI Release orchestration Security & compliance View all use cases Company size Enterprise SMB Startup Sign up Log in Go to application Search Back Resources close Developers Documentation Support portal Orbs registry Image registry Explore Customer stories Reports & guides Podcast Blog Topics Changelog Community Events Discuss forum Open source Sign up Log in Go to application Search Back Why CircleCI close Benefits Calculate your ROI Boost dev productivity Benchmark your team See customer wins Compare CircleCI vs GitHub Actions CircleCI vs Harness CircleCI vs Buildkite CircleCI vs Jenkins CircleCI vs Bitrise Company About us Careers Partners Newsroom Sign up Log in Go to application Search Back Search close close Results from : … Site Blog Docs Images Orbs Resources Site Blog Docs Images Orbs Resources Site Blog Docs Images Orbs Resources Site Blog Docs Images Orbs Resources Explore Blog Documentation Reports & guides Image registry Orbs registry New Smarter Testing: Run the tests that matter, move 97% faster. Learn more   AI code make you nervous? Ship trusted code at AI speed with the world’s first autonomous validation platform. Try for free Watch a demo Trusted by Meta Nextdoor Google Okta Hinge Confidence in every rollback p r o m p t c h a n g e t e s t m e r g e e v a l d e p l o y r o l l b a c k r e l e a s e Ship at AI speed with enterprise-grade confidence. CircleCI keeps your code tested, trusted, and ready to ship 24/7 with minimal human oversight. Explore the product Any app, deployed anywhere, at any scale Android Chatbots Robotics AI Mobile Autonomous vehicles Docker Ruby Heroku Image recognition Dynamic web apps C++ MacOS Terraform Wearables Business intelligence Ansible Python S3 Cross-platform AR Health tech PHP HTML Shell AWS SageMaker Linux Jupyter Notebook Pulumi Windows Elixir Speech recognition Recommendation systems Predictive analytics APIs Databases Container images VR Natural language processing Single page apps Gaming Go Netlify LLM apps RAG pipelines Model evaluation GPU Cursor Claude Code Prompt engineering MCP Agents Agents MCP Prompt engineering Claude Code Cursor GPU Model evaluation RAG pipelines LLM apps Netlify Go Gaming Single page apps Natural language processing VR Container images Databases APIs Predictive analytics Recommendation systems Speech recognition Elixir Windows Pulumi Jupyter Notebook Linux SageMaker AWS Shell HTML PHP Health tech AR Cross-platform S3 Python Ansible Business intelligence Wearables Terraform MacOS C++ Dynamic web apps Image recognition Heroku Ruby Docker Autonomous vehicles Mobile AI Robotics Chatbots Android PHP HTML Shell AWS SageMaker Linux Jupyter Notebook Pulumi Windows Elixir Speech recognition Recommendation systems Predictive analytics APIs Databases Container images VR Natural language processing Single page apps Gaming Go Netlify LLM apps RAG pipelines Model evaluation GPU Cursor Claude Code Prompt engineering MCP Agents Android Chatbots Robotics AI Mobile Autonomous vehicles Docker Ruby Heroku Image recognition Dynamic web apps C++ MacOS Terraform Wearables Business intelligence Ansible Python S3 Cross-platform AR Health tech Windows Pulumi Jupyter Notebook Linux SageMaker AWS Shell HTML PHP Health tech AR Cross-platform S3 Python Ansible Business intelligence Wearables Terraform MacOS C++ Dynamic web apps Image recognition Heroku Ruby Docker Autonomous vehicles Mobile AI Robotics Chatbots Android Agents MCP Prompt engineering Claude Code Cursor GPU Model evaluation RAG pipelines LLM apps Netlify Go Gaming Single page apps Natural language processing VR Container images Databases APIs Predictive analytics Recommendation systems Speech recognition Elixir Confidence meets AI speed Move at the pace of AI without sacrificing control. Faster, more reliable delivery powered by intelligent automation and expert-in-the-loop tooling. No-think CI/CD Agent-powered CI/CD designed to keep pipelines moving without the noise. Scale without compromise With AI, even small teams face enterprise-grade challenges. Industry-leading scale ensures you’re equipped to meet any demand. Ship at AI speed, confidently Break free from delivery bottlenecks. Start building for free Learn more about CircleCI Join 2mil+ devs And get that green build feeling “ It used to be that pushing to production was a really big deal — people on the executive team and in sales and support [have] more confidence that we can act on information that we get from customers.” Nick Wilson | VP of Technical Operations at GoSpotCheck “ The overall stability of CircleCI is remarkable in comparison to previously used CI providers and other cloud-based development tools.” Adam Renklint | Co-founder and CTO at Pitch “ CircleCI made it easier for us to streamline deployment processes and standardize the way we build, test, and release software.” Lukas Brusokas | Senior AWS Engineer at SaleCycle “ CircleCI enables choice for developers, without spending time on infrastructure — that’s more time spent delivering business value.” Steven Reynolds | Principal Engineer at Eventbrite “ CircleCI has enabled us to make DevOps a shared responsibility that can be done by everyone.” Adam Lyons | VP of Engineering at Tanda “ [We’ve] built a powerful system to automatically run security updates… engineers merge the PR, and builds run security updates on all servers.” Toshimasa Ishibashi | Co-founder and CTO at Kaizen Platform “ I set up CI/CD for #ReactNative app this week, I used #CircleCI #Fastlane and connected it to #Firebase Distribution! It works well! Now all tests, builds and code signing are done automatically! #IOS #Android #mobile #ContinuousIntegration #DevOps #FirebaseDistribution” Iryna Kreichmann | @Lucky_girl_____ at Twitter “ Waking up to a PR sure beats spending the day investigating.” Engineering leader | Tech “ It used to be that pushing to production was a really big deal — people on the executive team and in sales and support [have] more confidence that we can act on information that we get from customers.” Nick Wilson | VP of Technical Operations at GoSpotCheck “ We are so proud to partner with CircleCI again and deepen our relationship to further support girls and women in STEM,” said Oakland Soul Vice President, Brand Partnerships Andrea Lepore.” Andrea Lepore | Vice President, Brand Partnerships at Oakland Soul SC “ CircleCI orbs just magically work.” Nicholas Duffy | Engineering Manager at Axios “ Workflows + Docker caching are great with CircleCI; I’m pumped about what we can do with this!” Josh Dover | Senior Software Engineer at CrateJoy “ Without CircleCI, we’d be pushed back to the Stone Age; today, there’s no wasted time.” Enzo Belli | Senior Android Developer at Moshi “ CircleCI … [is] critical to making sure we ship code with quality, and it automates all our deployments.” Thomas Groutars | Staff Software Engineer at Maze “ CircleCI enables us to … deliver the best value to our customers with total confidence.” Hemal Shah | Product Manager at fastlane “ There is a growing awareness within the company to introduce CI from the early stages of projects.” Tsunashi Iguchi | DeNA “ CircleCI is one of my stress-free tools.” Maksim Pecherskiy | Chief Data Officer at City of San Diego “ CircleCI helps us pivot more quickly when business priorities shift — we can easily scale the workflow using parallelism or caching, with no extra overhead.” Carlos Villavicencio | Software Developer at Stack Builders “ The maturity and robustness of CircleCI makes it super easy to adopt across our entire team from DevOps engineers to data scientists, giving us a centralized view into all of our applications and workflows.” Xavier Portilla Edo | Infrastructure Team Lead at Voiceflow “ CircleCI is an essential tool for us.” Yuta Kimura | ANDPAD “ CircleCI is an essential tool for us.” Yuta Kimura | ANDPAD “ Even on the day of transitioning to production with CircleCI Server version 3, CircleCI was on standby with a video conferencing tool in case any problems arose; I was able to proceed without worry.” Sodai Kitamura | Data Science and Engineering at LINE “ CircleCI helps us identify the areas that need improvements and quickly address them — developers only have to worry about building the product.” Thomas Groutars | Staff Software Engineer at Maze “ We strive to have at least an 80 percent success rate on all of our projects and CircleCI helps us maintain this average — from conception to delivery, we got the changes out in three days.” Jon Anderson | Senior Software Engineer at Outreach “ There were so many of our customers that were already using orbs … it was so easy that it gave them access to that feature without having to do any additional work.” Cory Virok | Co-founder and CTO at Rollbar “ CircleCI significantly increased the productivity of the team to be able to ship more features, more confidently, and in less time.” Rawan Moukalled | Senior Front End Engineer at gtlogic “ With CircleCI’s features, our team is shifting from ‘keeping the lights on’ to ‘building something new and better.’” Anthony Carr-Smith | Software Development Manager at i2 “ The integration with GitLab worked flawlessly; it was easy, fast and productive.” Yoel Astanovsky | Software Engineer at Moneytor “ CircleCI’s default mode was a game changer for us … some of our processes have improved from nearly 24 hours to 1 hour!” Anthony Carr-Smith | Software Development Manager at i2 “ Switching to CircleCI has allowed our engineers to build and release mobile and web projects with far greater simplicity, speed and performance.” Matt Wise | Senior Systems Architect at Nextdoor “ The rise of GenAI is putting pressure on developers to test more frequently because every single application needs to be up and running at 100%, making effective CI/CD essential.” Xavier Portilla Edo | Infrastructure Team Lead at Voiceflow “ CircleCI connects our processes and pipelines and brings visibility into our coding environment, offering efficiency and rapid, high performance.” Valentin Ranshakov | QA Lead at Klara “ Having a partner like CircleCI that is consistent and reliable enables us to not only deliver the best value to our customers, but deliver it with total confidence.” Hemal Shah | Product Manager at fastlane “ Before CircleCI, it would take us an hour and 40 minutes to deploy — currently, it takes us 10 minutes.” Fergus McDonald | Senior Site Reliability Engineer at Procurify “ The previous CI/CD tool required manual deployments [which] inevitably lead to mistakes, so there were rare cases where the results of testing and design were not implemented; after implementing CircleCI, such omissions have become zero.” Seiichi Sato | Lead Engineer at Bandai Namco Studios “ We’ve reduced the time needed to manage CI/CD infrastructure, while we deliver new projects with high confidence.” Austin Brown | DevOps Engineer at Ground X “ CircleCI has significantly simplified setup and maintenance of our test environment and this allows us to run and maintain a stable test suite increasing the team’s confidence in the test results.” Jason Bosco | VP of Engineering at Dollar Shave Club “ We can still allow developers to do custom work if they want to, when they want to; developers are in complete control.” Steven Reynolds | Principal Engineer at Eventbrite “ With CircleCI our testing and deployments are running at about two minutes.” Sojin Park | Frontend Developer at Toss “ CircleCI helped us improve build system simplicity and stability, which reduced the support requests from our teams by 90%.” Matic Miklavčič | DevOps Engineer at Outfit7 “ Our growth and the offering we provide our clients are simply much better with CircleCI than without it.” Adam Nowak | Software Development Practice Lead at Netguru Learn more Previous Next Report 2025 State of Software Delivery Learn more Tutorial CircleCI onboarding toolkit Learn more Blog post CircleCI delivers 664% ROI Learn more New Smarter Testing: Run the tests that matter, move 97% faster. Learn more   97% faster test runs Chunk and Smarter Testing are here. Learn more New Connect AI tools with the CircleCI MCP Server Give AI assistants access to logs, job metadata, and failure context for faster diagnosis and fixes. Learn more   New Platform Toolkit: Standardize at scale Define golden paths, allow safe customization, and enforce policy checks before anything runs. Learn more   New Recover fast with rollback pipelines Set up automatic rollbacks with jobs and approvals so failed releases revert quickly and safely. Learn more   Changelog Keep up with the latest releases Go to our changelog   January 12, 2026 Artifact Promotion January 11, 2026 Insights Snapshot Badge EOL Complete December 17, 2025 New test overview widget available on job page December 16, 2025 Xcode 26.2.0 GM available December 14, 2025 Fixed error pipeline name display Product Roadmap Discover what’s around the corner in CircleCI’s product roadmap. Our teams are working on exciting new features to help you ship faster and securely. Check out CircleCI’s roadmap   Key milestones A look back at CircleCI’s key milestones, from our marquee releases to press moments, and everything in between. View CircleCI’s milestones   >build the future Start building for free Watch a demo CircleCI Product Overview Integrations Customer stories Changelog Hosting options Cloud Runner (hybrid) Server (on-prem) Solutions Continuous integration Platform teams DevSecOps AI Mobile Startup SMB Enterprise Resources Get started Documentation Developer portal Blog Topics Events Get support Discuss forum Pricing Build for free Pricing plans Using credits Pricing calculator Support plans Company About us Careers Newsroom Partners CircleCI brand Security © 2026 Circle Internet Services, Inc. Terms of Use Privacy Policy Cookie Policy RSS LinkedIn GitHub X Twitch | 2026-01-13T08:48:29 |
https://stackoverflow.blog/2025/12/01/what-s-new-at-stack-overflow-december-2025/ | What’s new at Stack Overflow: December 2025 - Stack Overflow Blog Loading… Everything Productivity AI/ML Open Source Business Hub Company Releases Podcast Newsletter Stack Overflow Business Stack Internal : the knowledge intelligence layer that powers enterprise AI. Stack Data Licensing : decades of verified, technical knowledge to boost AI performance and trust. Stack Ads : engage developers where it matters — in their daily workflow. December 1, 2025 What’s new at Stack Overflow: December 2025 Including a new MCP server, expanded access to a new question type, a long requested community ask to make copying code easier, and more! Welcome to the monthly blog series designed to keep you in the loop on the latest launches and features on stackoverflow.com . Catch up on what's new and what’s happening behind the scenes all in one place. Here’s what’s new from November 2025 month: MCP Server The Stack Overflow Model Context Protocol (MCP) Server allows developers to integrate the site’s vast and trusted knowledge base directly into AI applications, agents, and other tools. While currently in beta and rate limited to 100 requests per day, the MCP server supports prototyping, community projects, and a wide range of lightweight, exploratory tools, especially those that enhance developer workflows through real-time context. After using the MCP server, share your feedback with us here . We’d love to know more about the projects you’re working on and what your experience is. Expanded access to open-ended questions on Stack Overflow In October 2025 , we introduced questions involving developer preferences, personal experiences, and topics with more than one "right" answer. Historically, the platform has closed these questions for being subjective or not having a single accepted solution. We’ve continued to roll out this feature to more users on Stack Overflow so we can explore how Stack Overflow can host these valuable, inclusive questions and answers on the platform while still maintaining our standards for quality. If you’d like access to this feature, sign up and share your feedback about these types of open-ended questions. Copy button on Stack Overflow Users can now copy blocks of code directly from posts on Stack Overflow, by clicking the new Copy button in the top right corner of the code block: The Copy button functionality shown on a Lua code snippet defining a function greet that takes a parameter name and returns a string "Hello, " concatenated with the provided name and an exclamation mark. The copy will include three lines of attribution, which will be rendered as comments using the format appropriate for the language of the code block in question. This is something users have been asking for for almost as long as Stack Overflow has been around. New chat room onboarding experience Chat room owners have a new tool: the option to add an onboarding card to their chat rooms . With hundreds of public chat rooms across Stack Overflow and Stack Exchange , these cards are designed to pop up when a new user first joins and provide immediate guidelines and instructions so new members clearly understand the room's unique purpose. Room owners are now equipped to better outline room expectations and user behavior. New OpenAI Collective We launched the OpenAI Collective– a centralized source for all your OpenAI questions. Join the Collective to be sure not to miss out on the latest topics most important to OpenAI developers and start asking and answering questions today. Updates to spoilers Spoiler accessibility improvements - Spoilers are now tabbable so you don’t need to use the mouse cursor to access them, and we’ve added the option to hit "enter" to reveal them when they're focused. Spoilers in comments - Spoilers are now in comments, which we are testing out on Puzzling Stack Exchange . The syntax for comment spoilers is [!spoiler goes here!]. Once we make sure they are working appropriately on Puzzling, we will add this to additional Stack Exchange sites that use spoilers. Author s Zach Rutta Associate Director, Product Marketing, Community Products Staff Community new features Releases Latest releases January 5, 2026 What’s new at Stack Overflow: January 2026 December 16, 2025 Your 2025 Stacked: A year of knowledge, community, and impact December 1, 2025 What’s new at Stack Overflow: December 2025 November 12, 2025 2025.8 release introduces Stack Overflow Internal: The next generation of enterprise knowledge intelligence Add to the discussion Login with your stackoverflow.com account to take part in the discussion. Our Stack Stack Internal Features Customers Security Pricing Stack Data Licensing Stack Ads Partnerships Services Stack Overflow Company Leadership Press Careers Social Impact Support Contact Stack Overflow help Stack Internal help Terms Privacy policy Cookie policy Your Privacy Choices Elsewhere Blog Dev Newsletter Podcast Releases Dev Survey Site design / logo © 2026 Stack Exchange Inc. Light Dark Auto | 2026-01-13T08:48:29 |
https://opensource.org/ai/checklist | Checklist to evaluate machine learning systems – Open Source Initiative Skip to content Get involved About Licenses Open Source Definition Open Source AI Programs Blog Get involved About Licenses Open Source Definition Open Source AI Programs Blog Open Source AI Open Source AI OSAID 1.0 Process Timeline Open Weights FAQ Endorsements Open Main Menu This checklist is based on the paper The Model Openness Framework: Promoting Completeness and Openness for Reproducibility, Transparency and Usability in AI – DOI published Mar 21, 2024. The Model Openness Framework (MOF) is implemented on the Model Openness Tool website (MOT). Scope of this document This Checklist was developed by volunteers during the co-design process to help reviewers of AI systems to identify and rank the components required to exercise the basic freedoms of Open Source AI. It’s been further refined via public comments, on the forum and on the public draft on hackmd. This document should be seen as part of the definitional process, a learning tool: The Checklist is not an operating manual to evaluate Open Source AI . Relationship to the Model Openness Framework The MOF classifies systems in three degrees of availability of components, from some (Class III, Open Model) to all (Class I, Open Science). When using the MOF, one can think of the requirements of the “preferred form to make modifications to a ML system” as a bar overlayed on the MOF range of classes. Known issues and limitations Tied to generative AI : Being based on the MOF, this Checklist appears to be tightly coupled to generative AI. The list of components is not generalized enough to be applied to all machine learning. More research is necessary to apply the principles of the Open Source AI Definition to other kinds of AI and different machine learning systems. Subject to interpretation : When the Datasets component is made available, the Data requirements should be satisfied. When AI systems don’t make the Datasets component available, one needs to extrapolate from the alternative Data components if they provide the requirements listed in the Open Source AI Definition. This is another area that requires further research as the practice of Open Source AI develops. For more details, see also the Open Source AI FAQ . Table of default required components Required components Legal frameworks 1 Data See Known Issues. The requirements in the Open Source AI Definition must be satisfied. – Datasets Available under OSI-approved terms – Research paper Available under OSI-approved terms – Technical report Available under OSI-approved terms – Data card Available under OSI-approved terms Code All of these components are required – Data pre-processing Available under OSI-approved license – Training, validation and testing Available under OSI-approved license – Inference Available under OSI-approved license – Supporting libraries and tools Available under OSI-approved license Model All of these components are required – Model architecture Available under OSI-approved license – Model parameters Available under OSI-approved terms Table of optional components The other components listed in the Model Openness Framework are optional. Optional components Data – Evaluation data – Evaluation results Code – Code used to perform inference for benchmark tests – Evaluation code Model – Model card – Sample model outputs – Model metadata Available under OSI-approved terms means that the OSI will review licenses and agreements to ensure that all materials are available under terms that conform with the Open Source Definition. ↩︎ Get involved Mastodon Twitter LinkedIn Reddit About About Our team Board of directors Sponsors Programs Blog Press mentions Trademark Bylaws Licenses Open Source Definition Licenses License Review Process Open Standards Requirement for Software Open Source AI Open Source AI OSAI Definition Process Timeline Open Weights FAQ Checklist Forum Community Become an Individual Member Become an OSI Affiliate Affiliate Organizations Maintainers Events Forum OpenSource.net The content on this website, of which Opensource.org is the author, is licensed under a Creative Commons Attribution 4.0 International License . 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https://opensource.org/ | Open Source Initiative – The steward of the Open Source Definition, setting the foundation for the Open Source Software ecosystem. Skip to content Get involved About Licenses Open Source Definition Open Source AI Programs Blog Get involved About Licenses Open Source Definition Open Source AI Programs Blog Open Main Menu Growing the impact of Open Source around the world The Open Source Initiative is the global nonprofit building the future powered by open collaboration, transparency and innovation. Get involved Supported by the whole Open Source ecosystem Open Source licenses: The cornerstone of an 8.8 trillion dollar industry Open Source software plays a central role in global innovation, research, and economic growth. According to a Harvard study from 2024, the Open Source ecosystem’s demand-side value is around 8.8 trillion, and firms would need to spend 3.5 times more on software than they currently do if Open Source software did not exist. THE open source ai definition 1.0 We have released the first stable version of the Definition. Read version 1.0 OSI News Open Policy Alliance Welcomes the Open Source Technology Improvement Fund as New Member Top Open Source licenses in 2025 Celebrating Generosity and Growth in the OSI Community Open Source Without Borders: Reflections from COSCon’25 OSI Newsletter Subscribe to our newsletter Receive the top news and articles of the Open Source ecosystem in your inbox, the first week of every month. Please leave this field empty. Δ Get involved Mastodon Twitter LinkedIn Reddit About About Our team Board of directors Sponsors Programs Blog Press mentions Trademark Bylaws Licenses Open Source Definition Licenses License Review Process Open Standards Requirement for Software Open Source AI Open Source AI OSAI Definition Process Timeline Open Weights FAQ Checklist Forum Community Become an Individual Member Become an OSI Affiliate Affiliate Organizations Maintainers Events Forum OpenSource.net The content on this website, of which Opensource.org is the author, is licensed under a Creative Commons Attribution 4.0 International License . Opensource.org is not the author of any of the licenses reproduced on this site. Questions about the copyright in a license should be directed to the license steward. Read our Privacy Policy Proudly powered by WordPress. Hosted by Pressable. Manage Cookie Consent To provide the best experiences, we use technologies like cookies to store and/or access device information. Consenting to these technologies will allow us to process data such as browsing behavior or unique IDs on this site. Not consenting or withdrawing consent, may adversely affect certain features and functions. Functional Functional Always active The technical storage or access is strictly necessary for the legitimate purpose of enabling the use of a specific service explicitly requested by the subscriber or user, or for the sole purpose of carrying out the transmission of a communication over an electronic communications network. Preferences Preferences The technical storage or access is necessary for the legitimate purpose of storing preferences that are not requested by the subscriber or user. Statistics Statistics The technical storage or access that is used exclusively for statistical purposes. The technical storage or access that is used exclusively for anonymous statistical purposes. Without a subpoena, voluntary compliance on the part of your Internet Service Provider, or additional records from a third party, information stored or retrieved for this purpose alone cannot usually be used to identify you. Marketing Marketing The technical storage or access is required to create user profiles to send advertising, or to track the user on a website or across several websites for similar marketing purposes. Manage options Manage services Manage {vendor_count} vendors Read more about these purposes Accept Deny View preferences Save preferences View preferences {title} {title} {title} Manage consent | 2026-01-13T08:48:29 |
https://opensource.org/events/ | Events – Open Source Initiative Skip to content Get involved About Licenses Open Source Definition Open Source AI Programs Blog Get involved About Licenses Open Source Definition Open Source AI Programs Blog Open Main Menu Home Events Upcoming events The OSI is involved in a variety of events around the globe. You can see upcoming events where the OSI will participate, as well as events and activities of the OSI Affiliate organizations and our sponsors . Software Heritage Symposium and Summit January 28, 2026 12:00 am Paris, France To mark the 10th anniversary of Software Heritage, UNESCO and Software Heritage will co-host the 2026 Symposium on January 28, 2026. This event will recognize [...] More Info Code & Compliance January 29, 2026 12:00 am Brussels, Belgium Join us in Brussels for the next edition of Code & Compliance, the community event where open source developers, project stewards, manufacturers, and industry experts [...] More Info EU Open Source Policy Summit 2026 January 30, 2026 12:00 am Brussels, Belgium Europe is confronting fundamental questions about its digital sovereignty — a concept that now encapsulates the full range of its strategic challenges: competitiveness, market concentration [...] More Info FOSDEM 2026 January 31, 2026 - February 1, 2026 12:00 am Brussels, Belgium FOSDEM is a free event for software developers to meet, share ideas and collaborate. Every year, thousands of developers of free and open source software [...] More Info SCALE 23x March 5, 2026 - March 8, 2026 12:00 am Pasadena, California SCALE is North America's largest community-run open source conference. We will return to the Pasadena Convention Center March 5 - 8, 2026. Join us for [...] More Info All Things AI 2026 March 23, 2026 - March 24, 2026 12:00 am Durham, NC All Things AI is both a community and a conference. It brings together practitioners, business leaders, and innovators to focus on the technologies, processes, and [...] More Info Open Community Experience April 21, 2026 - April 23, 2026 12:00 am Brussels, Belgium The Open Community Experience brings together developers, researchers, industry leaders, and open -source communities for three days of collaboration and innovation. In 2026, OCX will [...] More Info Page created on October 21, 2015 | Last modified on December 16, 2025 Get involved Mastodon Twitter LinkedIn Reddit About About Our team Board of directors Sponsors Programs Blog Press mentions Trademark Bylaws Licenses Open Source Definition Licenses License Review Process Open Standards Requirement for Software Open Source AI Open Source AI OSAI Definition Process Timeline Open Weights FAQ Checklist Forum Community Become an Individual Member Become an OSI Affiliate Affiliate Organizations Maintainers Events Forum OpenSource.net The content on this website, of which Opensource.org is the author, is licensed under a Creative Commons Attribution 4.0 International License . Opensource.org is not the author of any of the licenses reproduced on this site. Questions about the copyright in a license should be directed to the license steward. Read our Privacy Policy Proudly powered by WordPress. Hosted by Pressable. Manage Cookie Consent To provide the best experiences, we use technologies like cookies to store and/or access device information. Consenting to these technologies will allow us to process data such as browsing behavior or unique IDs on this site. Not consenting or withdrawing consent, may adversely affect certain features and functions. Functional Functional Always active The technical storage or access is strictly necessary for the legitimate purpose of enabling the use of a specific service explicitly requested by the subscriber or user, or for the sole purpose of carrying out the transmission of a communication over an electronic communications network. Preferences Preferences The technical storage or access is necessary for the legitimate purpose of storing preferences that are not requested by the subscriber or user. Statistics Statistics The technical storage or access that is used exclusively for statistical purposes. The technical storage or access that is used exclusively for anonymous statistical purposes. Without a subpoena, voluntary compliance on the part of your Internet Service Provider, or additional records from a third party, information stored or retrieved for this purpose alone cannot usually be used to identify you. Marketing Marketing The technical storage or access is required to create user profiles to send advertising, or to track the user on a website or across several websites for similar marketing purposes. Manage options Manage services Manage {vendor_count} vendors Read more about these purposes Accept Deny View preferences Save preferences View preferences {title} {title} {title} Manage consent | 2026-01-13T08:48:29 |
https://stackoverflow.blog/2025/12/31/a-look-under-the-hood-how-and-why-we-built-question-assistant/#comments | A look under the hood: How (and why) we built Question Assistant - Stack Overflow Blog Loading… Everything Productivity AI/ML Open Source Business Hub Company Releases Podcast Newsletter Stack Overflow Business Stack Internal : the knowledge intelligence layer that powers enterprise AI. Stack Data Licensing : decades of verified, technical knowledge to boost AI performance and trust. Stack Ads : engage developers where it matters — in their daily workflow. December 31, 2025 A look under the hood: How (and why) we built Question Assistant Evaluating question quality and determining the appropriate feedback required some classic ML techniques in addition to our GenAI solution. Credit: Alexandra Francis [Ed. note: While we take some time to rest up over the holidays and prepare for next year, we are re-publishing our top ten posts for the year. Please enjoy our favorite work this year and we’ll see you in 2026.] Last year we released Staging Ground to help new question-askers get feedback on their drafts from experienced users in a dedicated space before their question is posted publicly on Stack Overflow. We’ve since seen measurable improvements in the quality of questions posted; however, it still takes time for a question to get human feedback and make it through the full Staging Ground process. Reviewers also noticed that they were repeating the same comments over and over: this post doesn’t belong here, there’s context missing, it’s a duplicate, etc. In classic Stack Overflow fashion, there are even comment templates they can apply for the right situations. This looked like an opportunity to use machine learning and AI to identify those common cases and speed up the process so human reviewers could spend their time tackling the more nuanced cases. Thanks to our partnership with Google , we had a solid AI tool (Gemini) to help us test, identify, and produce automated feedback. In the end, we found that evaluating question quality and determining the appropriate feedback required some classic ML techniques in addition to our generative AI solution. This article will walk through how we considered, implemented, and measured the results of Question Assistant . What is a good question? LLMs can provide a lot of useful insights on text, so we were naturally curious if they could produce a quality rating for a question in a particular category. To start, we used three categories and defined them in prompts: context and background, expected outcome, and formatting and readability. These categories were chosen because they were the most common areas in which reviewers were writing the same comments repeatedly to help new askers improve their questions in Staging Ground. Our tests with LLMs showed they could not reliably predict quality ratings and provide feedback that correlated with each other. The feedback itself was repetitive and did not correspond with the category—for example, all three categories would regularly include feedback about the version of the library or programming language, which was not exactly useful. Worse still, the quality rating and feedback wouldn’t change after the question draft was updated. For an LLM to reliably rate the quality of a question when the concept itself is subjective in nature, we needed to define, through data, what a quality question is. While Stack Overflow has guidelines for how to ask a good question , quality is not something that can be easily translated into a numerical score. That meant we needed to create a labeled dataset that we could use to train and evaluate our ML models. We started by trying to create a ground truth data set, one that contained data on how to rate questions. In a survey sent to 1,000 question-reviewers, we asked them to rate the quality of questions on a scale of 1 to 5 in the three categories. 152 participants fully completed the survey. After running the results through Krippendorff’s alpha , we got a pretty low score, which meant this labeled data wouldn’t make reliable training and evaluation data. As we continued exploring the data, we came to the conclusion that a numerical rating doesn’t provide actionable feedback. If someone gets a 3 in a category, does that mean they need to improve it in order to post their question? The numerical rating doesn’t give context for what, how, or where the question needs to be improved. While we wouldn’t be able to use an LLM to determine quality, our survey did affirm the importance of the feedback categories for that purpose. That led us to our alternative approach: building out feedback indicators for each of the previously mentioned categories. Rather than predicting the score directly, we built out individual models that would indicate whether a question should receive feedback for that specific indicator. Building indicator models Instead of using only an LLM with the possibility of a wide range of responses and generic outputs, we created individual logistic regression models. These produce a binary response based on the question title and body. Essentially: Does this question need a specific comment template applied to it or not? For our first experiment, we chose a single category to build models for: context and background. We broke the category into four individual and actionable feedback indicators: Problem definition : The problem or goal is lacking information to understand what the user is trying to accomplish. Attempt details : The question needs additional information on what you have tried and the pertinent code (as relevant). Error details: The question needs additional information on error messages and debugging logs (as relevant). Missing MRE : Missing a minimal reproducible example using a portion of your code that reproduces the problem. We derived these feedback indicators from clustering reviewer comments on Staging Ground posts to find the common themes between them. Conveniently, these themes also matched our existing comment templates and question close reasons, so we could use past data in training a model to detect them. Those reviewer comments and close comments were all vectorized using term frequency inverse document frequency (TF IDF) before passing in those features to logistic regression models. Although we were building more traditional ML models to flag questions based on quality indicators, we still needed to pair it with an LLM in the workflow to provide actionable feedback. Once an indicator flags a question, it sends a preloaded response text with the question to Gemini, along with some system prompts. Gemini then synthesizes these to produce feedback that addresses the indicator, but is specific to the question. This mermaid diagram shows the flow: We trained and stored these models within our Azure Databricks ecosystem. In production, a dedicated service on Azure Kubernetes downloads from Databricks Unity Catalog and hosts the models to generate predictions upon feedback request. Then our models were ready to start generating feedback. Testing it on site We ran this experiment in two stages: first on Staging Ground only, then on stackoverflow.com for all question askers with Ask Wizard . To measure success, we collected events through Azure Event Hub and logged predictions and results to Datadog to understand whether or not the generated feedback was helpful for the user, and to improve future iterations of the indicator models. Our first experiment was in Staging Ground, where we could focus on new askers who likely needed the most help drafting their first question. We ran it as an A/B test, where all eligible Staging Ground askers were allocated for the experiment, split 50/50 between the control and variant groups. The control group did not receive assistance from Gemini, while the variant group did receive assistance from Gemini. Our goal was to see if the Question Assistant could increase the number of questions approved to the main site and reduce the time questions spent in review. The results of the experiment were inconclusive based on our original goal metrics; neither approval rates nor average review times improved significantly for the variant group compared to the control. But it turns out that this solution actually solves a different problem. We saw a meaningful increase in success rates for questions; that is, questions that stay open on the site and receive an answer or a post score of at least plus two. So while we did not find what we were originally looking for, the experiment still validated that Question Assistant had value to askers and a positive impact on question quality. For the second experiment, we ran the A/B test on all eligible askers on the Ask Question page with the Ask Wizard. This time, we wanted to confirm the results of the first experiment and see if Question Assistant could also help more experienced question-askers. We saw a steady success rate of +12% across both experiments. With the meaningful success rates and consistency of our findings, we made Question Assistant available to all askers on Stack Overflow on March 6, 2025. The next step forward Changing course is not uncommon in research and early development. But realizing when you're on a path that won’t provide impact and pivoting to new logic is key to making sure all the puzzle pieces still fit together, just in a different way. With traditional ML and Gemini working together, we were able to fuse the suggested indicator feedback and the question text in order to provide more specific, contextual feedback that is actionable for the asker in improving their question, making it easier for users to find the knowledge they need. This is one step forward in our work to improve the core Q&A flows to make asking, answering, and contributing to knowledge easier for everyone. And we’re not done with Question Assistant just yet. Our Community Product teams are looking ahead to ways we can iterate on the indicator models and further optimize the question-asking experience with this feature. Author s Derek Cheng Senior Machine Learning Engineer Staff Caroline Thomas Staff Ryan Donovan Staff questions staging ground Question Assistant AI ML Engineering Recent articles January 12, 2026 Now everyone can chat on Stack Overflow January 5, 2026 What’s new at Stack Overflow: January 2026 January 2, 2026 A new worst coder has entered the chat: vibe coding without code knowledge January 1, 2026 Documents: The architect’s programming language Latest Podcast January 13, 2026 Vibe code anything in a Hanselminute Add to the discussion Login with your stackoverflow.com account to take part in the discussion. 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https://www.businessinsider.com/amazon-cloud-chief-replacing-junior-staff-ai-matt-garman-2025-8 | Amazon Cloud Chief: Replacing Junior Staff With AI Is 'Dumbest' Idea - Business Insider Business Insider Subscribe Newsletters Search Business Strategy Economy Finance Retail Advertising Careers Media Real Estate Small Business The Better Work Project Personal Finance Tech Science AI Enterprise Transportation Startups Innovation Markets Stocks Indices Commodities Crypto Currencies ETFs Lifestyle Entertainment Culture Travel Food Health Parenting Politics Military & Defense Law Education Reviews Home Kitchen Style Streaming Pets Tech Deals Gifts Tickets Video Big Business Food Wars So Expensive Still Standing Boot Camp Subscribe My account Log in Newsletters US edition Deutschland & Österreich España Japan Polska TW 全球中文版 Get the app AI Amazon cloud chief says replacing junior employees with AI is 'one of the dumbest things I've ever heard' By Lee Chong Ming You're currently following this author! Want to unfollow? Unsubscribe via the link in your email. Follow New Follow authors and never miss a story! Follow Lee Chong Ming Every time Lee Chong Ming publishes a story, you’ll get an alert straight to your inbox! Enter your email Sign up By clicking “Sign up”, you agree to receive emails from Business Insider. In addition, you accept Insider’s Terms of Service and Privacy Policy . Amazon's cloud chief says replacing junior workers with AI is "one of the dumbest things" he's ever heard — and warns it could wreck future talent pipelines. FREDERIC J. BROWN/AFP via Getty Images 2025-08-19T04:41:40.272Z Share Copy link Email Facebook WhatsApp X LinkedIn Bluesky Threads lighning bolt icon An icon in the shape of a lightning bolt. Impact Link Save Saved Read in app This story is available exclusively to Business Insider subscribers. Become an Insider and start reading now. Have an account? Log in . Don't replace your junior employees with AI, said Amazon cloud chief. "They're the most leaned into your AI tools," said Matt Garman. The CEO of Amazon Web Services also said cutting junior staff for AI could wreck future talent pipelines. Matt Garman, Amazon's cloud boss, has a warning for business leaders rushing to swap workers for AI: Don't ditch your junior employees . The Amazon Web Services CEO said on an episode of the "Matthew Berman" podcast published Tuesday that replacing entry-level staff with AI tools is "one of the dumbest things I've ever heard." "They're probably the least expensive employees you have. They're the most leaned into your AI tools," he said. "How's that going to work when you go like 10 years in the future and you have no one that has built up or learned anything?" Garman said companies should keep hiring graduates and teaching them how to build software, break down problems, and adopt best practices. He also said the most valuable skills in an AI-driven economy aren't tied to any one college degree. "If you spend all of your time learning one specific thing and you're like, 'That's the thing I'm going to be expert at for the next 30 years,' I can promise you that's not going to be valuable 30 years from now," he said. Instead, he said students should focus on developing critical reasoning, creativity, and the ability to adapt as technology evolves. An AWS representative declined further comment. AI is coming for junior employees Tech leaders have been vocal about how AI could replace the work of entry-level staff. OpenAI CEO Sam Altman said in June that AI is already beginning to act like junior-level coworkers . "You hear people that talk about their job now is to assign work to a bunch of agents, look at the quality, figure out how it fits together, give feedback, and it sounds a lot like how they work with a team of still relatively junior employees," Altman said of AI agents during the Snowflake Summit 2025. Google's chief scientist , Jeff Dean, said earlier this year that AI will soon be able to replicate the skills of a junior software engineer, adding that it could happen within the next year. The pressure is also showing up in data. According to Goldman Sachs , the unemployment rate for 20- to 30-year-olds in tech has risen by nearly 3 percentage points since early 2024, over four times the increase in the overall jobless rate. "While this is still a small share of the overall US labor market, we estimate that generative AI will eventually displace 6-7% of all US workers," Jan Hatzius, Goldman Sachs' chief economist, wrote in August. Others don't agree that junior staff are expendable. GitHub CEO Thomas Dohmke said last month that young engineers frequently bring fresh perspectives and are more likely to have been early adopters of AI. "Folks that go to high school now, or to college, or even kids earlier in their education, they get to use AI much faster," Dohmke said in a July episode of "The Pragmatic Engineer." "They get it because they are taking this with an open mind. They don't have the, 'This is how we've always done it,'" he added. Recommended video Amazon Read next Business Insider tells the innovative stories you want to know Business Insider tells the innovative stories you want to know Business Insider tells the innovative stories you want to know Business Insider tells the innovative stories you want to know HOME Subscribe This story is available exclusively to Business Insider subscribers. Become an Insider and start reading now. Have an account? Log in . 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https://stackoverflow.blog/2025/10/20/from-multilingual-semantic-search-to-virtual-assistants-at-bosch-digital/ | From multilingual semantic search to virtual assistants at Bosch Digital - Stack Overflow Blog Loading… Everything Productivity AI/ML Open Source Business Hub Company Releases Podcast Newsletter Stack Overflow Business Stack Internal : the knowledge intelligence layer that powers enterprise AI. Stack Data Licensing : decades of verified, technical knowledge to boost AI performance and trust. Stack Ads : engage developers where it matters — in their daily workflow. October 20, 2025 From multilingual semantic search to virtual assistants at Bosch Digital From sprawling PDFs to a fast, factual conversational assistant. Credit: Alexandra Francis This article is licensed under a CC BY-SA license. An e-bike rider types “reset Kiox 300 display,” and the answer must land in a heartbeat—not as a 200-page manual or a dozen near-miss FAQ links. The same expectation applies to mechanics updating brake firmware in a noisy workshop and to sales reps hunting torque specs on weak showroom Wi-Fi. Bosch eBike Systems an independent business division within the Bosch Group that serves millions of pages of manuals, release notes, and CAD drawings in twenty-seven languages. Roughly five percent of that content changes every month. But for Bosch eBike Systems, this wasn't just about efficiency; it was about elevating the customer experience and ensuring seamless support for riders, dealers, and service partners worldwide. Meeting expectations like these forced us from Bosch Digital to leave plain keyword search behind and build a retrieval engine that understands intent across languages, keeps costs predictable, and still answers in under a second. Why did keyword search crumble? Let's talk about why the old approach just couldn’t keep up. The world of bikes—and bike documentation—is wild with synonyms, part nicknames, and shifting terminology. “Display,” “NYON2,” or “BUI350” might all mean the same thing to a rider, but a bag-of-words search engine treats each as a stranger. Recall falls off a cliff unless you’re willing to hand-craft endless synonym lists. Typographical quirks and voice-to- text slip-ups don’t help. Real-world queries show up as “Kioxx 300,” “réinitialiser kios,” or, thanks to smeared microphones, as voice-recognition garble like “reset chaos 300.” Exact-token searches? They just shrug and show “No results.” In contrast, embedding-based search is far more forgiving of noisy input. Intent also gets lost in translation, especially for complex or constraint-laden queries. Someone might type, “Update brake firmware without a laptop” or “max torque under rain mode only.” Keyword search latches onto negated words (“laptop”) and dredges up the wrong docs. Modern transformer models, by contrast, grasp what the user really meant and rank results accordingly. Combine all these headaches—synonyms, noisy input, intent confusion, rapidly changing languages—and you’ve got the main reasons keyword search kept missing the mark. For Bosch Digital, moving to a vector-based, multilingual SmartSearch wasn’t an upgrade. It was survival. Designing a smarter way to search Once we mapped out every pitfall of traditional keyword search, it was time to rethink the pipeline from the ground up. Today, every answer SmartSearch delivers takes a precise, three-step journey from raw document to ranked result-a journey engineered for speed, accuracy, and multilingual scale. Step one: Crawling . Our self-developed Rust-based crawler zips through about 25 webpages per second, swiftly navigating vast documentation libraries while remaining polite enough never to trip rate limits—a digital librarian who reads fast but never ruffles feathers. Step two: Chunking before embedding. HTML gets dissected to separate titles from contents, and semantically coherent topics are stitched together using LLMs. Then come embeddings. Thanks to OpenAI's Ada 002 model (with a hefty 1536 dimensions), every content chunk lands accurately in semantic space. If it quacks like “reset Kiox 300,” our system will surface answers, even if the actual language is wildly different. Step three: Rank searches using a hybrid approach . Semantic search isn’t always the best approach. Dense vectors live in a vector database, while BM25 keeps classic keyword search in the mix. At query time, we blend the two—70% semantic, 30% sparse—then run the finalists through a MiniLM cross-encoder for the decisive sort. The result? Answers typically appear in about 750 ms, with 95% delivered in under a second and a half—even during those infamous firmware launch stampedes. But all this performance wasn’t without pain. Building SmartSearch meant ramming into hard limits: a 10-million vector per collection cap, painful re-indexing every time we added metadata, storage bills bloated by 32-bit floats, and no elegant ways to compress, quantize, or tier out storage to cheaper SSDs. Scale much beyond eight million vectors and everything slowed to a crawl. SmartSearch forced us to evolve—crawl, structure, represent, and rank—leaving the constraints of generic search infrastructure behind. The result is nimble, cost-effective, and fluent in every dialect your e-bike manuals throw at it. When search becomes chat With search bars, ten imperfect links might do. But for Bosch eBike Systems to deploy this as a conversational assistant for its global user base , there’s no room for error—the bot usually only has one shot. The very first retrieval must be laser-accurate, because every token we hand off to an LLM costs real money—and user trust evaporates if the bot’s opening statement misses the mark. Chat also explodes the data scale. Now we're not just retrieving from documentation, but juggling vast conversational histories and real-time follow-ups. Hundreds of thousands of chat snippets in the form of a short-term and long-term memory need to be stored, searched, and surfaced in milliseconds. Here, the cracks in our previous vector store yawned open: hard vector count limits, glacial re-index times, zero support for quantization or in-build multi-stage queries, and an insistence on keeping all vectors on DISC—bloating budgets and bottlenecking speed. Every shortcoming of the old architecture was amplified by chat’s relentless demand for cheaper, smarter, and scalable retrieval. Enter Qdrant. After pitting several vector databases against our most punishing workloads, Qdrant won hands-down. On a 25k-query, multilingual test set, it delivered recall above 0.96 with quantization, kept p95 latency under 120 ms with 400 concurrent chats, and we reduced the storage costs for our 10M dataset through quantization by 16x. Qdrant didn’t just handle chat’s challenges—it thrived on them. Now, suddenly, lightning-fast, chat-scale retrieval was not only possible, it was affordable. Slimming the brain, not the brains Our first prototype spoke fluent relevance but was a glutton for storage. Every text chunk wrapped itself in a massive 1536-dimensional Ada-002 vector—millions of high-precision floats devouring our SSDs by the rackful. Something had to give. The breakthrough came with Jina Embeddings v3. Flip a flag and you get binary quantized embeddings with 1024-dimension vector, flip another flag the 1024-dimension vector can be reduced with the power of Matryoshka Representation Learning down to 64. With lots of internal testing on recall quality, we found the best performance to quality ratio at 256-dimensions. Overnight, the footprint dropped by ninety-eight percent, and search quality even crept up over Ada-002. In recent evaluations, this setup outperformed Ada-003 and left a few MTEB chart-toppers in the dust (we will evaluate the Qwen3 embeddings model next). Additionally, thanks to our fine-tuned ModernBERT re-ranker, any minuscule loss vanishes completely. Qdrant turns those slimmed vectors into lightning answers. Because it natively understands multi-stage retrieval, we now run a two-stage search: a blistering-fast 256-dimension recall phase fused with BM25, then a fine-tuned reranker based on ModernBERT for pinpoint precision. This is how an ultra-lean operation should look like. Most importantly, Qdrant’s tiered storage lets us keep hot shards in RAM and cold vectors chilling on SSD, again cutting storage making it a total storage reduction of 5x while p95 latency remains well below 400 ms. Hybrid search? Dense scores blend seamlessly with BM25 in the same API call, so typo-riddled or perfect queries get equal love. The result: the answer to “reset Kiox 300” flashes onto a rider’s screen before the traffic light turns green—lighter vectors today, headroom for even slimmer tomorrow, and no compromises in quality. This is SmartSearch at chat-speed-fast, frugal, and fiercely precise, perfectly suiting as a backbone for our assistant. Names, not guesses: How GLiNER supercharged recognition By now, our assistant could find relevant facts with impressive speed and accuracy—but it still stumbled where it mattered most: names. “My Kiox 300 flashes 503 after the v1.7.4-B update” and “Nyon freezes on boot” appeared almost identical to a language model that didn’t truly see products, error codes, or firmware versions—just a blur of nouns and verbs. Context got lost; precision suffered. And bringing in a multi-billion-parameter AI hammer for this problem was pure overkill. The breakthrough came from an unexpected place—a doomscroll through LinkedIn. There it was: GLiNER, promising general, lightweight NER (named-entity recognition). Few-shot learning, CPU-fast inference, and a footprint small enough (800 MB) to fit in our Docker image—GLiNER checked every box we didn’t even know we had. It wasn’t just “easy”—it was transformative. With only a handful of annotated examples—just two for products, two for error codes, and two for firmware—GLiNER learned our entire domain in minutes. Inference was nearly instant: less than 30 ms per paragraph, even on a single laptop core. With labels persisting across chat turns, context sticks. So when a rider says, “Kiox 300 shows 503 after v1.7.4-B,” then follows up with, “Does it also hit CX Gen4?” the assistant keeps every product, error, and firmware straight. Each answer is routed with surgical precision, no more mistaking a Kiox for a Nyon, no more guesswork. All because of a LinkedIn scroll, a 800 MB model, and few lines of labeled text. Names matter. Now, finally, the assistant knows them cold. From answers to actions: Agentic workflows for the next-gen assistant Finding the right paragraph is one thing. For the Bosch eBike Systems assistant, tasked with supporting diverse user needs from simple inquiries to complex troubleshooting, carrying out a real-world task—filing a warranty claim, collecting the latest firmware links for three different drive units, or guiding a mechanic step-by-step through a “display reset” on chat—demands something more. A simple pipeline falls short: modern assistants need to reason, plan, coordinate, and act, not just retrieve. This is where agentic workflows come in. Instead of funneling every query through a single, monolithic language model (and hoping it never drops a detail), our platform orchestrates a team of specialized AI agents, each with a defined responsibility. Picture a user asking, “My Kiox 300 flashes error 503. Can you check if my firmware is out of date, tell me how to fix it, and draft a message to support if that doesn’t work?” In the old days, that threw a tangle of ambiguous instructions at a black-box chatbot. Now, agentic workflows break the request into manageable, coordinated steps—each agent picking up what it does best. The process starts with an orchestrator agent that parses user intent into subtasks: error code lookup, firmware verification, troubleshooting guide retrieval, and, if needed, support ticket drafting. Each subtask is routed to a specialist agent—e.g. a custom reasoning workflow based on product variants and corresponding information. These agents consult our retrieval backbone (built for precision, even with noisy queries), gather facts, cross-check versions, and piece together the findings. The upshot? Agentic workflows let our assistant go beyond answering “what”—they let it do “how” and “what’s next,” chaining knowledge, actions, and even human handover, seamlessly. Whether it’s a simple spec lookup, a multi-step troubleshooting procedure, or orchestrating real-world follow-ups, agentic workflows are the connective tissue behind our assistant’s leap from search box to conversational partner. We’ve found that this modular, transparent approach doesn't just improve speed-it brings new peace of mind. When something breaks, the scratchpad log shows exactly what was done (and why). If a process hits a wall, the orchestrator pivots—never leaving the user in limbo, and never letting important details fall between the cracks. The result: tasks handled start-to-finish, user intent actually understood, and the confidence that, under the hood, every answer isn’t just the luck of a generative roll, but the well-planned output of agents working in concert. That’s agentic workflow in action-the step change from answers to real assistance. What we’d do again—and what we wouldn’t Scars teach deeper than trophies, so here are the three that still itch (in all the right ways): Polish the pages before you pamper the model We once spent a solid week deduplicating near-identical paragraphs, chopping out boilerplate (“© 2021 Bosch eBike Systems-All rights reserved”), and flattening FAQ echo-chambers until they stopped swallowing fresh questions whole. The improvement in search quality? Bigger than any new encoder, model drop, or clever agent could manage—by a mile. Lesson learned: a clean, well-structured corpus is the cheapest upgrade you’ll never find on Hugging Face, and it makes every downstream agent that much sharper. Bake shrinkage into your day-one plans Binary quantization and dimension-slimming saved a small fortune on storage and inference. But we bolted those features on after launch, which meant re-encoding 10 million chunks while users were searching live—a gnarly headache nobody needs. Next time, the compression and size targets go on the first whiteboard, right up there with recall, latency, and now, agent handoff compatibility. Diets work better before the group photo. And it’s not just storage: your embedding model, vector database, chunking strategy, and, yes, agent workflows and communication schemes all need to work together from the start. Complex queries mean complex agent designs LLMs are both a blessing and a budget breaker—latency, cost, and “intelligence” all become make-or-break variables in a multi-agent system. As workflows get agentic—planning, delegating, keeping state—the challenge shifts from “Can we answer this?” to “Can we coordinate this, auditable and efficient?” Keep the data clean, plan your storage and compute diet early, and never skimp on people who can read between the lines and handle the edge cases. Everything else is just another line on a model card, or now, an agent manifest. This collaborative endeavor, made possible by the strategic investment and close partnership with Bosch eBike Systems, has truly reshaped how information is accessed and utilized within their ecosystem. In the end, it’s the painful lessons—not just the pretty graphs—that shaped SmartSearch into the system it is now. And with each round of learning, our answers get a little faster, a little sharper, and maybe-one day—just a little closer to perfect. Interested in contributing? Submit an idea for an article and we may reach out to you in the future. Login with your stackoverflow.com account to suggest an article. Author s Daly Singh AI Squad Lead and Product Owner at Bosch Digital As AI Squad Lead and Product Owner at Bosch Digital, he turns generative-AI research into real-world impact. He focuses on creating human-centered AI products that blend seamlessly into everyday experiences—believing that the best technology feels … Jeremy Teichmann Tech Lead at Bosch Digital Tech Lead at Bosch Digital, builds the architecture behind Bosch’s AI products and services. Leading an international engineering team, he bridges innovation and reliability—designing scalable AI systems that turn ambitious ideas into dependable, future-ready solutions. AI contributed CC BY-SA 4.0 Recent articles January 12, 2026 Now everyone can chat on Stack Overflow January 5, 2026 What’s new at Stack Overflow: January 2026 January 2, 2026 A new worst coder has entered the chat: vibe coding without code knowledge January 1, 2026 Documents: The architect’s programming language Latest Podcast January 13, 2026 Vibe code anything in a Hanselminute Add to the discussion Login with your stackoverflow.com account to take part in the discussion. 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https://www.linkedin.com/company/amazon-web-services/ | Amazon Web Services (AWS) | LinkedIn Skip to main content LinkedIn Top Content People Learning Jobs Games Sign in Register now Amazon Web Services (AWS) IT Services and IT Consulting Seattle, WA 10,608,900 followers Official Global LinkedIn page for Amazon Web Services (AWS). See jobs Follow Discover all 154,074 employees Report this company Overview Jobs Life About us Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing. The ultimate benefit of cloud computing, and AWS, is the ability to leverage a new business model and turn capital infrastructure expenses into variable costs. Businesses no longer need to plan and procure servers and other IT resources weeks or months in advance. Using AWS, businesses can take advantage of Amazon's expertise and economies of scale to access resources when their business needs them, delivering results faster and at a lower cost. Today, Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. With data center locations in the U.S., Europe, Singapore, and Japan, customers across all industries are taking advantage of our low cost, elastic, open and flexible, secure platform. Website http://aws.amazon.com External link for Amazon Web Services (AWS) Industry IT Services and IT Consulting Company size 10,001+ employees Headquarters Seattle, WA Type Public Company Founded 2006 Products No more previous content Amazon Aurora, Relational Database Management Systems Amazon Aurora Relational Database Management Systems Amazon DynamoDB, NoSQL Database Software Amazon DynamoDB NoSQL Database Software Amazon EC2, Infrastructure as a Service (IaaS) Amazon EC2 Infrastructure as a Service (IaaS) Amazon Lightsail, Platform as a Service (PaaS) Software Amazon Lightsail Platform as a Service (PaaS) Software Amazon RDS, Relational Database Management Systems Amazon RDS Relational Database Management Systems Amazon SageMaker, Data Science & Machine Learning Platforms Amazon SageMaker Data Science & Machine Learning Platforms Amazon Simple Storage Service (S3), Object Storage Software Amazon Simple Storage Service (S3) Object Storage Software Amazon Virtual Private Cloud, Virtual Private Cloud (VPC) Software Amazon Virtual Private Cloud Virtual Private Cloud (VPC) Software AWS Lambda, Platform as a Service (PaaS) Software AWS Lambda Platform as a Service (PaaS) Software No more next content Locations Primary 410 Terry Ave N Seattle, WA 98019, US Get directions 2100 University Ave East Palo Alto, CA 94303, US Get directions Kungsgatan 49 Stockholm, Stockholm County 111 22, SE Get directions 101 Main St Cambridge, MA 02142, US Get directions 31 Rives de Clausen Luxembourg, Luxembourg 2165, LU Get directions 120 Bremner Blvd Toronto, ON M5J 0A8, CA Get directions 227 W Monroe St Chicago, IL 60606, US Get directions Avenida Chedid Jafet, 200 Sao Paulo, SP 04551-065, BR Get directions Via Soperga, 9 Milan, Lomb. 20124, IT Get directions 40 Pacifica Irvine, CA 92618, US Get directions 510 W Georgia St Vancouver, BC V6B 0M3, CA Get directions 1900 University Ave East Palo Alto, CA 94303, US Get directions 60 Holborn Viaduct London, England EC1A 2FD, GB Get directions 2 Park St Sydney, NSW 2000, AU Get directions Sapir Herzliya, Tel Aviv 46000, IL Get directions 上大崎３丁目１−１ 目黒セントラルスクエア 品川区, 東京都 141-0021, JP Get directions Show more locations Show fewer locations Employees at Amazon Web Services (AWS) Frank Boosman Don Drake Ted Collins Shinji Yokokawa See all employees Updates Amazon Web Services (AWS) reposted this Riot Games 1,463,631 followers 3d Report this post Our third annual hackathon in partnership with Amazon Web Services (AWS) is wrapped. The topic was Rift Rewind, a year-in-review for League players using actual League match data. We got a ton of incredible submissions and, after a lot of deliberation, chose these three as our overall winners: 🥇Heimer Academy 🥈Rift Analyzer 🥉Rift Rewind Chronicles If you want to learn more about these projects, the winners of some additional side awards, and check out the full list of submissions, you’ll find all that here: https://lnkd.in/g8Kq8rK3 304 9 Comments Like Comment Share Amazon Web Services (AWS) reposted this AWS Startups 124,697 followers 4d Report this post How is AI helping clinical staff have more human conversations with patients? We spoke to medical cannabis startup Montu about the role of AI & Amazon Connect in scaling its business. Scale your startup faster with the support of AWS Activate. 🚀 https://go.aws/3N9dRp3 …more re:Invent Startups Backstage | Montu 126 4 Comments Like Comment Share Amazon Web Services (AWS) 10,608,900 followers 3d Report this post Say goodbye to manual capacity management with storage that grows & shrinks automatically to your workload needs. FSx Intelligent-Tiering for Amazon FSx for Lustre eliminates costly over-provisioning of high performance file storage. L️earn more: https://go.aws/45oTAC0 …more AWS - FSx Intelligent-Tiering for Amazon FSx for Lustre 179 16 Comments Like Comment Share Amazon Web Services (AWS) 10,608,900 followers 4d Report this post AI finds its voice in conversation.️ With Amazon Nova Sonic, a state-of-the-art speech-to-speech foundation model, you can deliver fluid dialogue that enables multi-turn exchanges with low latency, & industry-leading price-performance. Power engaging user experiences with natural, contextual dialogues. Learn more: https://go.aws/3KUGHJa …more AWS - Amazon Nova Sonic 210 12 Comments Like Comment Share Amazon Web Services (AWS) 10,608,900 followers 4d Report this post Analyze customer feedback with genAI. Take a look behind the scenes at Meow Wolf OmegaMart, Las Vegas, where the team built a merch recommendation app on PartyRock to pair customers with their perfect purchase. Learn more: https://go.aws/3LnQebL …more AWS - Helping Vegas Businesses Accelerate With PartyRock 99 12 Comments Like Comment Share Amazon Web Services (AWS) 10,608,900 followers 5d Report this post Break data silos, unlock team productivity. Storage Browser for Amazon S3 in Salesforce Data Cloud puts customer data directly in your team's hands. This AWS integration is helping organizations build a unified data foundation, allowing developers to drive innovation instead of wrestling with infrastructure. Learn more: https://go.aws/493ETGP …more AWS - Storage Browser for Amazon S3 106 1 Comment Like Comment Share Amazon Web Services (AWS) 10,608,900 followers 6d Report this post The right AI model will power results while maximizing your resources. Different business challenges require specialized AI capabilities. Amazon Bedrock helps you select and continuously evaluate models using your own data, ensuring you always use the optimal models as your needs evolve and genAI technology advances. Learn more: https://go.aws/4skPHYC …more AWS - Why Model Choice Matters 209 15 Comments Like Comment Share Amazon Web Services (AWS) 10,608,900 followers 1w Report this post Let genAI be your personal publicity machine. With PartyRock and Amazon Bedrock, Grace created a custom PR assistant that helps her tattoo shop craft press releases, generate media lists, and get seen. Try it for yourself: https://go.aws/4ppDNdB …more AWS - Helping Vegas Businesses Accelerate With PartyRock 89 9 Comments Like Comment Share Amazon Web Services (AWS) 10,608,900 followers 1w Report this post Join nonprofit leaders & technology experts at the AWS Imagine Nonprofit Conference to explore what’s next—& how to get there. Register today! https://go.aws/3YlvowC …more AWS Imagine for Nonprofits 195 13 Comments Like Comment Share Amazon Web Services (AWS) 10,608,900 followers 1w Report this post Unlock the Power of AWS Security Assurance Services. AWS Security Assurance Services empowers businesses to navigate regulatory requirements while strengthening their security posture. Our team of dedicated compliance and security professionals leverages AWS services to help you on your compliance journey with people-led solutions tailored to your industry. Why choose AWS Security Assurance Services? • Alignment with requirements for patient information and privacy in healthcare. • Knowledge of financial compliance standards and protecting sensitive data. • Support of government-specific compliance needs, including simplifying the audit process. From expert guidance to automated tools, AWS supports your compliance journey with solutions designed for efficiency. 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https://t.co/Lcm76CSQrY | Death Valley Wilderness: Wilderness Light - YouTube 정보 보도자료 저작권 문의하기 크리에이터 광고 개발자 약관 개인정보처리방침 정책 및 안전 YouTube 작동의 원리 새로운 기능 테스트하기 © 2026 Google LLC, Sundar Pichai, 1600 Amphitheatre Parkway, Mountain View CA 94043, USA, 0807-882-594 (무료), yt-support-solutions-kr@google.com, 호스팅: Google LLC, 사업자정보 , 불법촬영물 신고 크리에이터들이 유튜브 상에 게시, 태그 또는 추천한 상품들은 판매자들의 약관에 따라 판매됩니다. 유튜브는 이러한 제품들을 판매하지 않으며, 그에 대한 책임을 지지 않습니다. var ytInitialData = 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https://opensource.org/maintainers | Maintainers – Open Source Initiative Skip to content Get involved About Licenses Open Source Definition Open Source AI Programs Blog Get involved About Licenses Open Source Definition Open Source AI Programs Blog Open Main Menu Home Maintainers Supporting maintainers and protecting the Open Source ecosystem Download the book How the OSI supports maintainers OSI Approved Licenses We provide a venue for the community to discuss Open Source licenses and we maintain the OSI Approved Licenses database. Policy & Standards We defend maintainers by educating legislators and policy makers about the Open Source ecosystem, its role in innovation and its value for an open future. We have engaged with NTIA, CISA, and policy makers of the EU Cyber Resilience Act, the EU AI Act, and the US Securing Open Source Software Act. Advocacy & Research We lead global conversations with maintainers, developers, non-profits, and lawyers to improve the understanding of Open Source. OSI investigates the impacts of ongoing debates from artificial intelligence to security. Join OSI and help maintainers too The generous contributions of people like you are the driving force behind OSI’s initiatives. Every dollar you donate directly supports our efforts to strengthen the OSI and protect the Open Source ecosystem. Join OSI Download the book Get involved Mastodon Twitter LinkedIn Reddit About About Our team Board of directors Sponsors Programs Blog Press mentions Trademark Bylaws Licenses Open Source Definition Licenses License Review Process Open Standards Requirement for Software Open Source AI Open Source AI OSAI Definition Process Timeline Open Weights FAQ Checklist Forum Community Become an Individual Member Become an OSI Affiliate Affiliate Organizations Maintainers Events Forum OpenSource.net The content on this website, of which Opensource.org is the author, is licensed under a Creative Commons Attribution 4.0 International License . Opensource.org is not the author of any of the licenses reproduced on this site. Questions about the copyright in a license should be directed to the license steward. Read our Privacy Policy Proudly powered by WordPress. Hosted by Pressable. Manage Cookie Consent To provide the best experiences, we use technologies like cookies to store and/or access device information. Consenting to these technologies will allow us to process data such as browsing behavior or unique IDs on this site. Not consenting or withdrawing consent, may adversely affect certain features and functions. Functional Functional Always active The technical storage or access is strictly necessary for the legitimate purpose of enabling the use of a specific service explicitly requested by the subscriber or user, or for the sole purpose of carrying out the transmission of a communication over an electronic communications network. Preferences Preferences The technical storage or access is necessary for the legitimate purpose of storing preferences that are not requested by the subscriber or user. Statistics Statistics The technical storage or access that is used exclusively for statistical purposes. The technical storage or access that is used exclusively for anonymous statistical purposes. Without a subpoena, voluntary compliance on the part of your Internet Service Provider, or additional records from a third party, information stored or retrieved for this purpose alone cannot usually be used to identify you. Marketing Marketing The technical storage or access is required to create user profiles to send advertising, or to track the user on a website or across several websites for similar marketing purposes. Manage options Manage services Manage {vendor_count} vendors Read more about these purposes Accept Deny View preferences Save preferences View preferences {title} {title} {title} Manage consent | 2026-01-13T08:48:29 |
https://stackoverflow.blog/2025/02/26/variants-of-lora/ | Variants of LoRA - Stack Overflow Blog Loading… Everything Productivity AI/ML Open Source Business Hub Company Releases Podcast Newsletter Stack Overflow Business Stack Internal : the knowledge intelligence layer that powers enterprise AI. Stack Data Licensing : decades of verified, technical knowledge to boost AI performance and trust. Stack Ads : engage developers where it matters — in their daily workflow. February 26, 2025 Variants of LoRA Want to train a specialized LLM on your own data? The easiest way to do this is with low rank adaptation (LoRA), but many variants of LoRA exist. Credit: Alexandra Francis There are many variants of LoRA you can use to train a specialized LLM on your own data. Here’s an overview of all (or at least most) of the techniques that are out there. LoRA models the update derived for a model’s weights during finetuning with a low rank decomposition, implemented in practice as a pair of linear projections. LoRA leaves the pretrained layers of the LLM fixed and injects a trainable rank decomposition matrix into each layer of the model. QLoRA is (arguably) the most popular LoRA variant and uses model quantization techniques to reduce memory usage during finetuning while maintaining (roughly) equal levels of performance. QLoRA uses 4-bit quantization on the pretrained model weights and trains LoRA modules on top of this. In practice, QLoRA saves memory at the cost of slightly-reduced training speed. QA-LoRA is an extension of LoRA/QLoRA that further reduces the computational burden of training and deploying LLMs. It does this by combining parameter-efficient finetuning with quantization (i.e., group-wise quantization applied during training/inference). LoftQ studies a similar idea to QA-LoRA—applying quantization and LoRA finetuning on a pretrained model simultaneously. LongLoRA attempts to cheaply adapt LLMs to longer context lengths using a parameter-efficient (LoRA-based) finetuning scheme. In particular, we start with a pretrained model and finetune it to have a longer context length. This finetuning is made efficient by: Using sparse local attention instead of dense global attention (optional at inference time). Using LoRA (authors find that this works well for context extension). S-LoRA aims to solve the problem of deploying multiple LoRA modules that are used to adapt the same pretrained model to a variety of different tasks. Put simply, S-LoRA does the following to serve thousands of LoRA modules on a single GPU (or across GPUs): Stores all LoRA modules in main memory. Puts modules being used to run the current query into GPU memory. Uses unified paging to allocate GPU memory and avoid fragmentation. Proposes a new tensor parallelism strategy to batch LoRA computations. Many other LoRA variants exist as well… LQ-LoRA: uses a more sophisticated quantization scheme within QLoRA that performs better and can be adapted to a target memory budget. MultiLoRA: extension of LoRA that better handles complex multi-task learning scenarios. LoRA-FA: freezes half of the low-rank decomposition matrix (i.e., the A matrix within the product AB) to further reduce memory overhead. Tied-LoRA: leverages weight tying to further improve the parameter efficiency of LoRA. GLoRA: extends LoRA to adapt pretrained model weights and activations to each task in addition to an adapter for each layer. Interested in contributing? Submit an idea for an article and we may reach out to you in the future. Login with your stackoverflow.com account to suggest an article. Author s Cameron R. Wolfe, PhD Director of AI at Rebuy I’m currently the Director of AI at Rebuy, a personalized search and recommendations platform for D2C e-commerce brands. Prior to Rebuy, I was a Research Scientist at Alegion. Additionally, I worked for Salesforce Commerce Cloud … llm AI contributed Recent articles January 12, 2026 Now everyone can chat on Stack Overflow January 5, 2026 What’s new at Stack Overflow: January 2026 January 2, 2026 A new worst coder has entered the chat: vibe coding without code knowledge January 1, 2026 Documents: The architect’s programming language Latest Podcast January 13, 2026 Vibe code anything in a Hanselminute Add to the discussion Login with your stackoverflow.com account to take part in the discussion. Our Stack Stack Internal Features Customers Security Pricing Stack Data Licensing Stack Ads Partnerships Services Stack Overflow Company Leadership Press Careers Social Impact Support Contact Stack Overflow help Stack Internal help Terms Privacy policy Cookie policy Your Privacy Choices Elsewhere Blog Dev Newsletter Podcast Releases Dev Survey Site design / logo © 2026 Stack Exchange Inc. Light Dark Auto | 2026-01-13T08:48:29 |
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https://stackoverflow.co/company/social-impact/?utm_source=blog&utm_medium=referral&utm_campaign=footer | Social impact at Stack Overflow - Stack Overflow Careers Press Leadership Social Impact Our products Social Impact Our commitments As one of the world’s largest communities for developers and technologists, we have a responsibility to do good. Just as we are committed to ensuring our platform is a helpful and inclusive place for anyone who codes, we are committed to making positive contributions to the broader tech ecosystem. Our Environmental, Social, and Governance (ESG) Policies & Principles Our Commitment to Human Rights We are committed to the human rights of our workforce. Learn more in our Human Rights Statement and commitment to anti-slavery practices. Our Commitment to DEIB Stack Overflow is committed to a diverse, inclusive, and equitable workplace where all employees feel valued and respected. Learn more on our Careers page . Our Commitment to Sustainability As a wholly-owned subsidiary of Prosus, we are a signatory of the Climate Pledge, committed to reaching net-zero carbon by 2040. Learn more here . Special initiatives Overflow Offline Stack Overflow, in partnership with a non-profit organization named Kiwix , worked to update and upgrade access to an offline version of our question and answer database. For developers and technologists around the world, Stack Overflow represents the greatest living encyclopedia of knowledge available on the art and practice of programming, with over 50 million questions asked and answered. With the release of Overflow Offline, Kiwix is able to provide a more current and readable version of our dataset to users who want to access this information without an internet connection. Learn more Stack Gives Back Since 2009 we’ve run an annual program called Stack Gives Back. Through the initiative we survey our moderators about charities they would like to support, and then we donate $100 on behalf of each moderator. Over the last 14 years, we’ve donated nearly half a million dollars to organizations such as Doctors Without Borders (Médecins Sans Frontières), the Electronic Frontier Foundation, Girls Who Code, the International Rescue Committee, UNICEF, and more through the Stack Gives Back initiative. Learn more Our Stack Stack Internal Features Customers Security Pricing Stack Data Licensing Stack Ads Partnerships Services Stack Overflow Company Leadership Press Careers Social Impact Support Contact Stack Overflow help Stack Internal help Terms Privacy policy Cookie policy Your Privacy Choices Elsewhere Blog Dev Newsletter Podcast Releases Dev Survey Site design / logo © 2026 Stack Exchange Inc. Light Dark Auto | 2026-01-13T08:48:29 |
https://docs.devcycle.com/cli-guides/keys | SDK Keys | DevCycle Docs Skip to main content Home SDKs APIs Management API Bucketing API Integrations CLI / MCP Best Practices Community Blog Discord Search Sign Up CLI / MCP Overview CLI CLI Reference CLI User Guides Projects Environments SDK Keys Features Variables Variations Targeting Rules Self-Targeting CLI User Guides MCP MCP Getting Started MCP Reference MCP User Guides Incident Investigation CLI CLI User Guides SDK Keys On this page CLI: SDK Keys Manage Once you have installed and authorized the CLI , select your relevant organization and project then run one of the following commands depending on your use case: dvc keys get Edit this page Last updated on Jan 9, 2026 Previous Environments Next Features Manage DevCycle Dashboard Blog Privacy Policy Twitter Discord GitHub Copyright © 2026 DevCycle. All rights reserved. | 2026-01-13T08:48:29 |
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https://stackoverflow.co/advertising/?utm_source=blog&utm_medium=referral&utm_campaign=footer | Reach and engage developers - Stack Overflow Business Stack Internal Stack Data Licensing Stack Ads Partnerships Resources Learn Solution resources Stack Internal Stack Ads Blog Research insights Support Stack Internal Help Legal policies Talk to an expert 183 Unique communities to engage with Reach developers where it matters — in their daily workflow Stack Ads connects your brand to the world’s most trusted developer community. Why advertise on Stack Overflow? 82% of devs visit Stack Overflow multiple times per month (source) 62% of devs have an influence in the purchase of new technology (source) Millions of average monthly unique visitors across our platforms Reach developers. Speak their language. Cut through the noise. Stack Ads lets you run targeted campaigns based on skills, tags and interests — so you can reach more of the right people. Things to note Creative guidlines Advertising policy Reach the right devs (lots of them) With communities built around every interest and millions of monthly visitors, finding and targeting the right talent just got a little easier. Track what works, make it better No more broad ad channels, wasted spend or bad dev fits. We’ll give you tools to track engagement, fine-tune your approach and optimize your ROI. Build trust in your brand Show up in trusted, dev-first environments and earn the respect and recognition of discerning dev communities. How Stack Ads can help you Marketing teams Agencies Employee brand teams Talent teams Technology teams Marketing teams Find ad solutions to reach developers and technologists at scale. Run ads in the places where developers are switched-on, focused and open to new ideas. Grow your audience with interest-based targeting. Agencies Unlock the developer audience for your clients. 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Get in touch 01 Setting the strategy Your dedicated success manager will run a session to help define your goals — and then build a strategy to meet them. 02 Checking in Support doesn't stop at strategy. In regular check-ins your account manager will track your campaign, suggest tweaks, and look for ways to save you time and money. 03 Testing and learning Your account manager will tap into analytics, reports, and the knowledge of our entire dev marketing team, to help improve your campaign. Mix and match the tools you need Targeted advertising Our targeted advertising options allow you to get ads in front of developers in their workflow in a non-intrusive way. Banner advertising Topic Tag Sponsorship Dedicated company pages Build brand awareness with your own dedicated company pages & page ads which offer a compelling way for your company to stay top-of-mind with relevant developer and tech talent by telling your story. Company Pages Company Page Ads Sponsored media Premium media placements get your employer brand in front of the Stack Overflow community and help position your company as a thought leader and employer of choice. Podcast Advertising Sponsored Podcasts Newsletter Advertising Sponsored Blog Posts Companies already on Stack Overflow See more on stackoverflow.com American Express. London; Burgess Hill; Brighton Finance, Financial Services, Financial Technology Joining Amex Tech means discovering and shaping your contribution to something big. Here, you can work alongside talented tech teams and buil... java python hadoop Audible London; Berlin; Cambridge Agile Software Development, Content Marketing, Web Technology Imagine Your Possibilities at Audible.This is a place of invention and inspiration. 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Expand all What is Stack Ads? Stack Ads is a developer-first advertising solution that connects brands and employers to the world’s most trusted developer community, delivering unmatched engagement and measurable outcomes. What audience can I reach on Stack Overflow? Stack Overflow is the largest community of developers, technical decision-makers and technology enthusiasts with millions of monthly visitors. How do I advertise on Stack Overflow? Stack Ads solutions enable you to place ads and sponsored content directly within the developer workflow, using precision, skill-based targeting to reach the right technical buyers and decision-makers. What types of advertising formats are available? Stack Ads offers a wide range of native and display formats, including display ads, technical content sponsorships and company pages. What are the available targeting options? Stack Ads provides precision skill-based targeting, allowing you to reach developers based on specific tags that reflect skills and technologies. Furthermore, campaigns can be targeted using user intent, role, historical behavior, and technology-specific segmentation. Does Stack Overflow offer employer branding solutions? Yes. For talent acquisition leaders and employer branding teams that need to attract high-quality, hard-to-reach developers in a saturated market, Stack Ads connects your employer brand with developers where they go to learn, solve problems, and grow their careers. How do I get started with an advertising campaign on Stack Overflow? The best way to get started is by connecting with our team. CSM support is available for media ROI and content strategy, along with clear campaign dashboards to help define goals, manage budgets, and launch a developer marketing campaign efficiently. What are the pricing or minimum spend requirements? To receive information on pricing, minimum spends, and custom packages tailored to your B2B marketing or employer branding goals, please contact our team. Reach a global community of developers and technologists. Talk to sales Stay updated Subscribe to receive Stack Overflow Business content around knowledge sharing, collaboration, and AI. Receive updates Our Stack Stack Internal Features Customers Security Pricing Stack Data Licensing Stack Ads Partnerships Services Stack Overflow Company Leadership Press Careers Social Impact Support Contact Stack Overflow help Stack Internal help Terms Privacy policy Cookie policy Your Privacy Choices Elsewhere Blog Dev Newsletter Podcast Releases Dev Survey Site design / logo © 2025 Stack Exchange Inc. | 2026-01-13T08:48:29 |
https://opensource.org/privacy | Privacy policy – Open Source Initiative Skip to content Get involved About Licenses Open Source Definition Open Source AI Programs Blog Get involved About Licenses Open Source Definition Open Source AI Programs Blog Open Main Menu Home Privacy policy Privacy policy Page created on January 7, 2022 | Last modified on January 10, 2025 EFFECTIVE DATE: 2024-01-22 In this Privacy Policy (“Policy”), we describe how Open Source Initiative (“ OSI, ” “ we, ” or “us ”) collects, uses, and discloses information that we obtain about visitors to our website https://opensource.org (the “Site”, including subdomains like members and discuss) and the services available through our Site (collectively, the “Services”). By visiting the Site, or using any of our Services, you agree that your personal information will be handled as described in this Policy. 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https://opensource.org/get-involved | Get involved – Open Source Initiative Skip to content Get involved About Licenses Open Source Definition Open Source AI Programs Blog Get involved About Licenses Open Source Definition Open Source AI Programs Blog Open Main Menu Home Get involved Get involved Hundreds of individuals and organizations worldwide join as members and support as donors or sponsors of the OSI. They trust in our neutral stewardship of open source licensing and our role in enabling a global community. “I think this is an organization that you really should support, because they specifically focus on Open Source licenses. And I think that’s a very important area that needs continuous support and evaluation.” -Peter Zaitsev , Founder, Percona “Thank you OSI for protecting what open source means, so that everybody uses the same definition when we’re talking about open source.” -Emily Omier , Founder, Open Source Founders Summit “The Open Source Initiative does vital work defining, maintaining and keeping consistent the definition of what open source actually is.” -Michael Meeks , CEO, Collabora Productivity Membership Join OSI as an individual to belong to the organization that stewards the Open Source Definition. ✅ Voting rights ✅ Tax deductible ✅ Newsletter ✅ Discussions Become a member Donation You can make a one-time or recurring donation as an individual to directly support our mission. ✕ No voting rights ✅ Tax deductible ✅ Flexible giving options ✅ Anonymous if desired Make a donation Sponsorship Show your organization’s commitment to open source. Your funds advance OSI’s overall mission. ✕ No voting rights ✅ Tax deductible ✅ Various tiers ✅ Recognition Sponsor our work Our mission We are a non-profit organization with global scope, formed to educate and advocate for the benefits of Open Source and to build bridges among different constituencies in the Open Source community. ✅ Supporting a healthy ecosystem. ✅ Promoting worldwide collaboration. ✅ Educating about the value of Open Source. ✅ Advocating for frictionless innovation. Testimonials “I firmly believe that open source is the best way to build technology that’s collaborative, transparent and that’s impactful and the OSI crystallizes all these values in the same place.” -Florent Zara, Open Source Services Team Lead, Eclipse Foundation “I support OSI as a thought leader in the open source ecosystem because it provides a set of norms that we can all agree on.” -Anais Concepcion, Co-CEO, Grist “The Open Source Initiative creates a level playing field for all commercial open source vendors to flourish.” -Sandro Groganz Head of Marketing, Passbolt “Thank you OSI for protecting what open source means, so that everybody uses the same definition when we’re talking about open source.” -Raphael Michel , Managing Director, pretix FAQ: Membership, Donations, Sponsorship Who can become an OSI member? OSI membership is open to any individual. If you live in a country under U.S. embargo, please contact us for assistance. Companies cannot become voting members. What membership levels are available and what do they include? OSI offers two paid membership tiers. Supporting Members ($50/year) can nominate and vote for OSI’s Board of Directors, run for a board seat, and get early access to events, workshops, and member discounts. Professional Members ($300/year) get all Supporting Member benefits plus priority access to meetings and exclusive OSI content. We also offer a free Basic Membership that shows your support but does not include voting rights. How long does membership last, and how do I renew? A membership lasts 12 months from your join date. When you sign up, you can choose to renew automatically. Otherwise, we will remind you to renew each year. You can renew online through the OSI member portal or by purchasing a new membership when your term expires. What do OSI membership fees support? Membership dues fund OSI’s programs and staff. Your support pays professional staff salaries and covers activities that promote and protect open source software around the world. In short, your membership helps OSI fulfill its mission as the steward of the Open Source Definition and community. Are OSI membership fees tax-deductible? Yes. The OSI is a California-based 501(c)(3) public charity, so membership dues (and donations) are generally tax-deductible for U.S. taxpayers. As always, please consult your tax advisor about deductibility in your situation. How can I donate to the OSI? You can give by mail or online. Online, you can donate via the OSI member portal. We also accept micro-donations via Flattr. You can also send a check payable to “Open Source Initiative” to our address. Are donations to the OSI tax-deductible? Yes. The OSI is a U.S. 501(c)(3) nonprofit, so donations are generally tax-deductible for U.S. taxpayers. If you are a U.S. donor, you can claim your charitable gift on your federal tax return (check with a tax professional for details). Can I make a one-time gift or a recurring donation? Yes. Our donation form lets you choose a one-time contribution or an annual recurring donation. When you donate online, simply select “One-Time” or “Yearly” on the form. Who can sponsor the OSI and how do we get involved? Any company or organization can become an OSI sponsor. To explore sponsorship, interested organizations should contact OSI . Please see our Sponsorship Prospectus or reach out through the OSI contact form for details. What are the benefits of sponsoring OSI? Sponsors receive public recognition and networking opportunities. For example, sponsors are featured on OSI’s supporters page with their logos displayed prominently. Depending on the sponsorship level, benefits can include logo placement on the website, mentions in newsletters and social media, and invitations to special OSI events. Full details are available in the Sponsorship Prospectus. Does OSI endorse its sponsors or their products? No. OSI is a neutral steward of the Open Source Definition and community. Listing a sponsor on our site is simply a way to thank their support; OSI does not endorse any particular company, product, or service. Does sponsorship give my organization influence over OSI’s decisions or policies? No. Sponsorship of the OSI is a financial contribution that supports our mission, not a governance role. Sponsors do not receive any special influence over OSI’s decisions, licensing approvals, or policy positions. As a 501(c)(3) nonprofit, OSI maintains strict neutrality and independence in all of its work. This ensures that open source remains a community-led effort, not driven by commercial interests. Get involved Mastodon Twitter LinkedIn Reddit About About Our team Board of directors Sponsors Programs Blog Press mentions Trademark Bylaws Licenses Open Source Definition Licenses License Review Process Open Standards Requirement for Software Open Source AI Open Source AI OSAI Definition Process Timeline Open Weights FAQ Checklist Forum Community Become an Individual Member Become an OSI Affiliate Affiliate Organizations Maintainers Events Forum OpenSource.net The content on this website, of which Opensource.org is the author, is licensed under a Creative Commons Attribution 4.0 International License . Opensource.org is not the author of any of the licenses reproduced on this site. Questions about the copyright in a license should be directed to the license steward. Read our Privacy Policy Proudly powered by WordPress. Hosted by Pressable. Manage Cookie Consent To provide the best experiences, we use technologies like cookies to store and/or access device information. 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https://opensource.org/about/team | Our team – Open Source Initiative Skip to content Get involved About Licenses Open Source Definition Open Source AI Programs Blog Get involved About Licenses Open Source Definition Open Source AI Programs Blog Open Main Menu Home About Our team Our team The Open Source Initiative (OSI) exists and succeeds because of the commitments and contributions of our community. We would like to thank all of those who have stepped forward to support our work in promoting and protecting open source software, development and communities. Staff Deb Bryant, Interim Executive Director Deb’s deep appreciation of open source models and culture comes out two decades of management in Open Source organizations – leading enterprise IT policy in state government as an early adopter of open standards and open source; helping build one of the world’s pioneering Open Source labs at Oregon State University; conducting and publishing research and consulting to international government as a trusted advisor on adoption of open source. Prior to joining OSI staff she led one of the world’s largest and most influential Open Source Program Offices (OSPO) at Red Hat for eight years. She is OSI Board Member Emeritus having previously served on the OSI board for four terms over ten years. In 2023, she established OSI’s first US Policy Program and founded the Open Policy Alliance . Simon Phipps, Standards & EU Policy Director Simon first joined OSI in 2008 as a Board observer and has been a board director, board president, and board secretary at various times since, until early 2020 when he switched to his current role. With a degree in electronic engineering that led to a focus first on compiler design and then workstations and networking, he has had C-level roles with responsibility for software community matters at IBM, Sun Microsystems and Forgerock. As Sun’s chief open source officer he ran one of the first fully staffed OSPOs and oversaw the release of Sun’s whole software portfolio under open source licenses, notably including the Java platform. He has been involved in de jure standards since 1991 at multiple SDOs. He consults, writes and speaks widely on software freedom issues. Phyllis Dobbs, Controller Phyllis joined OSI as part-time Controller in 2017 and is currently part-time Controller for Python Software Foundation, as well as a part-time accounting/finance consultant for the Lake Forest Symphony, the Lake County Chamber of Commerce, and the Alliance for Human Services. Previously, Phyllis was CFO of Shimer College and Controller for McGraw-Hill Higher Education. She has an MBA from Duke University and a B.S. in Accounting from Clemson University. In addition, Phyllis is Trustee at Cook Memorial Public Library, President of a condo association, volunteers annually with the IRS/AARP tax program, and is a clarinetist in the Libertyville Village Band. Nick Vidal, Community Manager Nick is Community Manager at the Open Source Initiative. Previously, he was Outreach Chair at the Confidential Computing Consortium from the Linux Foundation, Director of Community and Business Development at the Open Source Initiative, and Director of Americas at the Open Invention Network. Jordan Maris, EU Policy Analyst Jordan fought for Open Source as a parliamentary assistant in the European Parliament working on the AI Act, Cyber Resilience Act and Product Liability Directive among others. Jordan is a long-time user of Open Source software and a strong advocate for the Public Money–Public Code principle. Katie Steen-James, Senior US Policy Manager Katie joined OSI after leading policy and advocacy for SPARC, a nonprofit coalition working to implement open access and open education policies in North America. Before SPARC, she was a federal relations officer at the Association of American Universities where she advocated for federal research investments and developed programming and positions on open research data issues. Katie brings 10 years of experience in government relations and policy analysis and a commitment to educating policymakers about the benefits of open. Gabriel Toscano, US Policy Intern Gabriel is a Master of Public Policy (MPP) student at Duke University working on sociotechnical approaches to build, govern, and promote digital technologies in the public interest. With a background in philosophy and computer science, he has published and conducted research at Duke’s Sanford School of Public Policy, the Center for AI and Digital Policy, the MIT Science Policy Review, and the Stanford Trust & Safety Research conference. You, work with us! We’re a small team and we often look for help from the community. Sign up for our newsletter and receive early notices of new job openings, and requests for volunteers. OSI non-discrimination policy : The Open Source Initiative does not promote or discriminate against any person, population group, or organization with regard to categories protected by applicable United States law, as well as other categories identified by the OSI in alignment with our own Human Resources policies. These include, but are not limited to race, color, ancestry, religion, sex, sexual orientation, gender expression, physical appearance, citizenship, marital status, language, education background, national origin, age, disability, and veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know. Get involved Mastodon Twitter LinkedIn Reddit About About Our team Board of directors Sponsors Programs Blog Press mentions Trademark Bylaws Licenses Open Source Definition Licenses License Review Process Open Standards Requirement for Software Open Source AI Open Source AI OSAI Definition Process Timeline Open Weights FAQ Checklist Forum Community Become an Individual Member Become an OSI Affiliate Affiliate Organizations Maintainers Events Forum OpenSource.net The content on this website, of which Opensource.org is the author, is licensed under a Creative Commons Attribution 4.0 International License . Opensource.org is not the author of any of the licenses reproduced on this site. Questions about the copyright in a license should be directed to the license steward. Read our Privacy Policy Proudly powered by WordPress. Hosted by Pressable. Manage Cookie Consent To provide the best experiences, we use technologies like cookies to store and/or access device information. Consenting to these technologies will allow us to process data such as browsing behavior or unique IDs on this site. Not consenting or withdrawing consent, may adversely affect certain features and functions. Functional Functional Always active The technical storage or access is strictly necessary for the legitimate purpose of enabling the use of a specific service explicitly requested by the subscriber or user, or for the sole purpose of carrying out the transmission of a communication over an electronic communications network. Preferences Preferences The technical storage or access is necessary for the legitimate purpose of storing preferences that are not requested by the subscriber or user. Statistics Statistics The technical storage or access that is used exclusively for statistical purposes. The technical storage or access that is used exclusively for anonymous statistical purposes. 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https://opensource.org/press-mentions | Press mentions – Open Source Initiative Skip to content Get involved About Licenses Open Source Definition Open Source AI Programs Blog Get involved About Licenses Open Source Definition Open Source AI Programs Blog Open Main Menu Press mentions December 24, 2025 Where code meets community China Daily From AI to embodied intelligence, COSCon 2025 revealed how open source thrives through shared ideas, volunteer effort and cross-border cooperation. Beyond technical frontiers, Jiang also reflected COSCon’s growing international reach. Overseas guests included representatives from organizations such as the Open Source Initiative, OpenChain, and Open-UK, making this year’s gathering the largest to date in terms of international participation. December 16, 2025 Open Source: Inside 2025’s 4 Biggest Trends The New Stack While the open source AI definition remains controversial, and very few AI projects fully qualify as open source by the strict requirements of the Open Source Initiative (OSI) AI definition, AI remains built on a foundation of open source software. The debate over open weights, data and training code will continue, but even the most proprietary large language models (LLMs) couldn’t exist without open source programs. December 15, 2025 As Meta fades in open-source AI, Nvidia senses its chance to lead As lead author Shayne Longpr and team pointed out, “The Open Source Initiative defines open source AI models as those which have open model weights, but also ‘sufficiently detailed information about their [training] data’,” adding, “Without training data disclosure, a released model is considered ‘open weight’ rather than ‘open source’.” December 9, 2025 ‘Source available’ is not open source (and that’s okay) Dries Buytaert Look, the term “open source” has a specific, shared meaning. It is not a loose idea and not something you can repurpose for marketing. Thousands of people shaped that definition over decades. Ignoring that work means benefiting from the community while setting aside its rules. December 8, 2025 DHH & Open Source Matt Mullenweg Myself and other “Actually Open Source” leaders (including DHH) who release software under licenses that meet a common definition of Open Source benefit from decades of prior art and an incredible foundation that lays out the philosophy and definition of what defines open source. October 20, 2025 Why transparency alone doesn’t make software truly open: a deep dive XDA If you want to know whether something is truly open-source, the license tells the story. OSI-approved licenses such as GPLv3, MIT, or Apache 2.0 allow unrestricted use, modification, and redistribution. Any license that adds caveats, like prohibiting commercial use, disqualifies it from being open-source. It may still be source-available, but it doesn’t carry the same freedoms. September 26, 2025 Why pgEdge ‘Ripped the Band-Aid Off’ To Go Totally Open Source After a number of notable moves to make software proprietary, some companies are insisting on Open Source Initiative-approved software licenses. “We had some trepidation about that. It turns out, our fears were maybe a little bit unfounded, not entirely unfounded, but a little unfounded. And meanwhile, we knew that there were some customers who really didn’t want to look at our technology unless it was open source, capital ‘O,’ capital ‘S,’ with an OSI-approved license,” Merrick said. September 16, 2025 ETSI Elects Three Prominent Leaders to Drive the Creation of New Standards under the EU Cyber Resilience Act ETSI ETSI is pleased to announce it has elected three new officials to lead EUSR Working Group within TC CYBER, a standardisation working group to support the EU Cyber Resilience Act. In response to a request from the European Commission in early June of this year, ETSI is facilitating the harmonisation of cybersecurity standards for digital products across the EU. Its three new appointments, Sandra Feliciano (Chair), Dr George Sharkov (Vice-Chair), and Simon Phipps (Vice-Chair) bring a wealth of diverse expertise in standardisation, conformity assessment, SMEs and open source software development. September 16, 2025 The Open Source Initiative’s executive director departs – what it means for the OSAID debate ZDNET Stefano Maffulli, the group’s first executive director, is set to step down in October to pursue work in open-source AI and data governance. Under Maffulli’s leadership since 2021, OSI moved from a volunteer-centric group to a globally recognized nonprofit, notably releasing the Open Source AI Definition (OSAID) 1.0, which, like the name suggests, established a standard for open-source AI licensing. September 3, 2025 What Is Open Source AI Anyway? The New Stack At the Open Source Summit in Amsterdam, I sat down with Maffulli to talk about the current state of the discussion. He noted that not only has the conversation started but that the definition has become a tool for the OSI to engage with politicians, including the European Commission, where the AI Act, for example, will go into full effect in August 2026. August 26, 2025 No, Grok 2.5 has not been open-sourced. Here’s how you can tell ZDNET Leaving aside the Open Source Initiative (OSI) Open Source AI Definition (OSAID), which Grok doesn’t come close to meeting, the code also fails by the more broadly accepted open-source definitions. August 20, 2025 GPT-5 is getting all the buzz. But the new open models of AI matter more Fortune According to our partners at the Open Source Initiative (OSI), open source AI means anyone can look at how the model works, change it, use it, and share it freely without needing to ask for permission. Posts pagination 1 2 … 16 Get involved Mastodon Twitter LinkedIn Reddit About About Our team Board of directors Sponsors Programs Blog Press mentions Trademark Bylaws Licenses Open Source Definition Licenses License Review Process Open Standards Requirement for Software Open Source AI Open Source AI OSAI Definition Process Timeline Open Weights FAQ Checklist Forum Community Become an Individual Member Become an OSI Affiliate Affiliate Organizations Maintainers Events Forum OpenSource.net The content on this website, of which Opensource.org is the author, is licensed under a Creative Commons Attribution 4.0 International License . Opensource.org is not the author of any of the licenses reproduced on this site. Questions about the copyright in a license should be directed to the license steward. Read our Privacy Policy Proudly powered by WordPress. Hosted by Pressable. 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https://opensource.org/ai/open-weights | Open Weights: not quite what you’ve been told – Open Source Initiative Skip to content Get involved About Licenses Open Source Definition Open Source AI Programs Blog Get involved About Licenses Open Source Definition Open Source AI Programs Blog Open Source AI Open Source AI OSAID 1.0 Process Timeline Open Weights FAQ Endorsements Open Main Menu In the rapidly evolving landscape of artificial intelligence, Open Weights have emerged as a buzzword indicating incremental progress in AI transparency. By sharing the final parameters of a trained model, developers offer some insight into how a neural network operates. However, these weights reveal only a fraction of the information required for full accountability. While Open Weights represent a milestone in opening up AI systems, they still stop short of delivering the level of transparency many researchers and regulators deem essential. What are Open Weights? Open Weights refer to the final weights and biases of a trained neural network. These values, once locked in, determine how the model interprets input data and generates outputs. When AI developers share these parameters under an OSI Approved License , they empower others to fine-tune, adapt, or deploy the model for their own projects. However, Open Weights differ significantly from Open Source AI because they do not include: Training code – The scripts or frameworks used to create and curate the training dataset. Training dataset – The full dataset used for training, when legally possible. As an alternative, when distribution of the training dataset is not legally possible, Comprehensive data transparency – Full details about dataset composition, such as source domains, cleaning methods, or balancing techniques. By withholding these critical elements, developers only provide a glimpse into the final state of the model, making it difficult for others to replicate, audit, or deeply understand the training process. Is Open Weights a new concept? Far from it. Over the past decade, AI practitioners have experimented with different ways of sharing or withholding information, often balancing trade secrets with mounting calls for AI transparency . The renewed interest in Open Weights arose in response to regulatory scrutiny and growing awareness that completely opaque systems can embed biases and discriminatory behaviors. In 2023, Heather Meeker , a recognized expert in Open Source licensing, published an Open Weights Definition that formalized many of these conversations. Her work clarifies permissible usage and distribution of final model parameters while highlighting a gap: the full process behind model creation still remains undisclosed. As discussions on Open Source AI intensify, so does the debate around whether Open Weights alone can deliver the transparency needed for ethical and responsible AI. The limitations of Open Weights While Open Weights stand out as more transparent than purely proprietary AI , they still lack several key elements of Open Source AI . 1. Lack of reproducibility Reproducibility is critical in scientific and technological progress. Without training code or intermediate checkpoints , researchers and auditors cannot replicate the model’s development process. This gap hinders efforts to identify when and where biases might have been introduced, making it nearly impossible to rectify errors or vulnerabilities. 2. Data opacity The phrase “garbage in, garbage out” applies strongly to AI. If the training data is not representative or ethically sourced, the model’s outputs can exhibit harmful biases. However, Open Weights often do not clarify how the dataset was constructed or cleaned. This oversight leaves a significant blind spot, preventing anyone outside the original development team from fully assessing the dataset’s quality or diversity. 3. Regulatory hurdles Governments worldwide are formulating policies that mandate higher standards of transparency in AI, especially for systems deployed in sensitive areas such as finance, healthcare, and public administration. Disclosing only the final weights may not meet these emerging regulations, as the lack of training code or dataset details could violate requirements for fairness, privacy, or explainability. 4. Limited community collaboration One of the core strengths of Open Source AI lies in the collaborative potential it unlocks. When the entire pipeline—training scripts, dataset composition, and intermediate checkpoints—is openly available, a global community can work together to improve the model, fix bugs, or address ethical concerns. By contrast, Open Weights significantly reduce these possibilities, limiting meaningful contributions to superficial fine-tuning rather than in-depth improvements. Open Weights vs. Open Source AI Open Source AI’s four freedoms Following the same idea behind open source software, an Open Source AI is made available under terms that grant users the following freedoms: Use – The freedom to use the system for any purpose without seeking additional permission. Study – The freedom to study how the system works and understand how its results are generated. Modify – The freedom to modify the system for any purpose, including changing its outputs. Share – The freedom to share the system with others, with or without modifications, for any purpose. A fundamental precondition to exercise these freedoms is having access to the preferred form needed to make modifications, and the practical means to use it. Open Weights alone fall short of this because they do not provide the underlying training process, code, or comprehensive data details required for full-fledged use, study, modification, and sharing. To better understand why Open Weights and Open Source AI differ so drastically, consider the following comparison: Feature Open Weights Open Source AI Weights & Biases Released Released Training Code Not Shared Fully Shared Intermediate Checkpoints Withheld Nice to have Training dataset Not Shared/Not disclosed Released* Training Data Composition Partially/Not Disclosed Fully Disclosed Clearly, Open Weights mark a notable advancement over fully proprietary solutions by offering the final model parameters. However, Open Source AI goes further by unlocking the entire development process. This holistic openness enables complete reproducibility, thorough bias audits, and robust community-driven improvements. * When legally allowed. See Open Source AI Definition FAQ . Why transparency in AI matters Ethical AI development A model’s fairness depends heavily on data quality and balanced training procedures. Open source AI allows reviewers to spot and address potential biases early, while Open Weights alone can’t provide enough context to guarantee ethical performance. Regulatory compliance Policymakers need concrete proof that AI models comply with laws on privacy, discrimination, and consumer protection. With Open Weights , regulators see only the end result, not the steps taken to reach it. Full openness eases the burden of proving a model’s compliance across various jurisdictions. Innovation and collaboration When experts worldwide can inspect training code , dataset details , and, ideally, intermediate checkpoints , they can collectively refine algorithms, fix bugs, and broaden the model’s applicability. This communal effort drives forward innovation in a way that Open Weights alone cannot match. Trust and public perception In an era of data breaches and algorithmic controversies, public trust in AI remains fragile. Models that offer complete transparency—which is the hallmark of Open Source AI —are more likely to gain acceptance from stakeholders who worry about issues such as hidden biases or unaccountable decision-making. The role of Open Weights: a lesser evil? Many see Open Weights as a compromise—a lesser evil than completely proprietary AI . By at least making the final parameters accessible, developers provide some degree of insight into the model’s decision logic. This can be enough for certain low-stakes applications where minimal accountability suffices. However, for industries like healthcare, autonomous vehicles, or financial underwriting—where AI decisions carry significant consequences—the partial transparency of Open Weights is insufficient. Full accountability demands understanding not just the final model, but also how it was built, the data it relied on, and the points at which it might have diverged from ethical best practices. The bottom line Open Weights might seem revolutionary at first glance, but they’re merely a starting point. While they do move the needle closer to transparency than strictly closed, proprietary models, they lack the detailed insights found in Open Source AI . For AI to be both accountable and scalable , every part of the pipeline—from the initial dataset to the final set of parameters—needs to be open to scrutiny, validation, and collective improvement. If you care about AI systems that are trustworthy, fair, and compliant with upcoming regulations, look beyond Open Weights. Learn more about Open Source AI , where full reproducibility and transparency foster a healthier, more innovative ecosystem. By championing this evolution, we can move closer to AI solutions that benefit everyone, not just a select few. Stay informed, stay involved Join us in our discussion forum to connect with researchers, developers, and policymakers who are shaping the future of Open Source AI. This is where you can share insights, learn from others’ experiences, and stay updated on the latest breakthroughs and regulatory changes in the AI space. Get involved Mastodon Twitter LinkedIn Reddit About About Our team Board of directors Sponsors Programs Blog Press mentions Trademark Bylaws Licenses Open Source Definition Licenses License Review Process Open Standards Requirement for Software Open Source AI Open Source AI OSAI Definition Process Timeline Open Weights FAQ Checklist Forum Community Become an Individual Member Become an OSI Affiliate Affiliate Organizations Maintainers Events Forum OpenSource.net The content on this website, of which Opensource.org is the author, is licensed under a Creative Commons Attribution 4.0 International License . Opensource.org is not the author of any of the licenses reproduced on this site. Questions about the copyright in a license should be directed to the license steward. Read our Privacy Policy Proudly powered by WordPress. Hosted by Pressable. Manage Cookie Consent To provide the best experiences, we use technologies like cookies to store and/or access device information. 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https://opensource.org/ai/process | Open Source AI Process – Open Source Initiative Skip to content Get involved About Licenses Open Source Definition Open Source AI Programs Blog Get involved About Licenses Open Source Definition Open Source AI Programs Blog Open Source AI Open Source AI OSAID 1.0 Process Timeline Open Weights FAQ Endorsements Open Main Menu THE open source ai definition 1.0 We have released the first stable version of the Definition. Read version 1.0 How was Open Source AI defined? The Open Source Definition is a practical guide to judge if legal documents grant the four freedoms to software, following the principles of the GNU Manifesto. More than two decades passed between the GNU Manifesto and the writing of the Open Source Definition . For AI we cannot wait decades to produce a new document. The Open Source Initiative started coordinating in 2022 a global process to sharpen collective knowledge and identify the principles that lead to a widely adopted Open Source AI Definition (OSAID). OSI brought together global experts to establish a shared set of principles that can recreate permissionless, pragmatic and simplified collaboration for AI practitioners, similar to that which the Open Source Definition has done for the software ecosystem. The output of this work is version 1.0 of the Open Source AI Definition . The document will be used to validate whether an AI system is an Open Source AI, or not. The validation process will be similar to the evaluation of existing licenses for software: community-led, open and public. The Process The board requires by the in-person meeting of 2024 in Raleigh, an Open Source AI Definition that is supported by stakeholders that include deployers of AI, end users of AI and subjects (those affected by AI decisions), provides positive examples of AI systems, is rooted in current practice and provides a reference for interested parties. Collaboration with multiple stakeholders The Open Source Initiative (OSI) has guarded the Open Source Definition for over 25 years and has robust processes for developing, amending, and consulting on licenses. This authority position is recognised by a number of leaders in organizations who have agreed to co-design a new definition suited for AI and ML. These leaders joined the co-design process in a personal capacity and with various degrees of direct involvement from their employers like Digital Public Goods Alliance, Mozilla Foundation, Open Knowledge Foundation, National Endowment for Democracy, Center for Tech and Civic Life, Code for America, Wikimedia Foundation, Creative Commons, Linux Foundation, MLCommons, EleutherAI, Open Future, GitHub, Microsoft, Google, DataStax, Amazon, Meta, Hugging Face, GIZ FAIR Forward – AI for All, OpenLLM France, Polytechnic Institute of Paris, Intel, Apache Software Foundation, Samsung, and the United Nations International Telecommunications Union (ITU). Co-design process Co-design, also called participatory or human-centered design, is a set of creative methods used to solve communal problems by sharing knowledge and power. The co-design methodology addresses the challenges of reaching an agreed definition within a diverse community (Costanza-Chock, 2020: Escobar, 2018: Creative Reaction Lab, 2018: Friedman et al., 2019). As noted in MIT Technology Review’s article about this project, “ [t]he open-source community is a big tent… encompassing everything from hacktivists to Fortune 500 companies…. With so many competing interests to consider, finding a solution that satisfies everyone while ensuring that the biggest companies play along is no easy task. ” (Gent, 2024). The co-design method allows us to integrate these diverging perspectives into one just, cohesive, and feasible standard. Support from such a significant and broad group of people also creates a tension to be managed between moving swiftly enough to deliver outputs that can be used operationally, and taking the time to consult widely to understand the big issues and garner community buy-in. The first step of the co-design process was to identify the freedoms needed for Open Source AI. After various online and in-person activities and discussions , including five workshops across the world, the community adopted the four freedoms for software, now adapted for AI systems. The next step was to form four working groups to initially analyze four AI systems. To achieve better representation, special attention was given to diversity, equity and inclusion. Over 50% of the working group participants are people of color, 30% are black, 75% were born outside the US and 25% are women, trans and nonbinary. These working groups discussed and voted on which AI system components should be required to satisfy the four freedoms for AI. The components we adopted are described in the Model Openness Framework developed by the Linux Foundation. The vote compilation was performed based on the mean total votes per component (μ). Components which received over 2μ votes were marked as required and between 1.5μ and 2μ were marked likely required. Components that received between 0.5μ and μ were marked likely not required and less than 0.5μ as not required. The working groups evaluated legal frameworks and legal documents for each component. Finally, each working group published a recommendation report. The end result is the OSAID with a comprehensive definition checklist encompassing a total of 17 components. More working groups are being formed to evaluate how well other AI systems align with the definition. OSAID multi-stakeholder co-design process: from component list to a definition checklist The Open Source AI Definition Process We have released the first stable version Read version 1.0 RC1 Published in early October The draft is completed in all its parts The draft is supported by at least 2 representatives for each of the 6 stakeholder groups Stable version Outcome of in-person and online meetings through the summer/early autumn The document is endorsed by at least 5 reps for each of the stakeholder groups Announced in late October See the 2023 project activity February 2024 Call For Volunteers + Activity Feedback and Revision FOSDEM talk (Brussels) Bi-Weekly Virtual Public Town halls. Draft 0.0.5 March Virtual System Review Meetings Begin Draft 0.0.6 April Virtual System Review Meetings Continue Open Source Summit North America workshop The Free Software Legal and Licensing Event workshop Draft 0.0.7 May Virtual System Review Meetings END PyCon workshop (Pittsburgh) Draft 0.0.8 June Feedback Informs Content of OSI In-Person Stakeholder Meeting OW2 talk (Paris) Open Expo Europe talk(Madrid) RC 1 July OSPOs for Good panel session (New York) OSCA Community webinar (Virtual) August AI_dev talk (Hong Kong) Open Source Congress talk (Beijing) 0.0.9 September Deep Learning Indaba talk (Dakar) India FOSS talk (Bangalore) OSS Europe talk (Vienna) Nerdearla talk (Buenos Aires) Release Candidate 1 October Data in OSAI workshop (Paris) OCX talk (Mainz) All Things Open Stable Version Presentation (Raleigh) Release Stable Version Ongoing It doesn’t end with the Stable Version We’ll need to define rules for maintenance and review of the Definition. The OSI board of directors approved the creation of a new committee to oversee the development of the Open Source AI Definition, approve the Stable Version and set rules for the maintenance of Definition. Who is involved in this process? 🛠️ System Creators Makes AI system and/or component that will be studied, used, modified, or shared through an open source license. 📃 License Creators Writes or edits the open source license to be applied to the AI system or component; includes compliance. 🏛️ Regulators Writes or edits rules governing licenses and systems (e.g. government policy-maker). 🎓 Licensees Seeks to study, use modify, or share an open source AI system (e.g. AI engineer, health researcher, education researcher) ⌨️ End Users Consumes a system output, but does not seek to study, use, modify, or share the system (e.g., student using a chatbot to write a report, artist creating an image) 🙇 Subjects Affected upstream or downstream by a system output without interacting with it intentionally; includes advocates for this group (e.g. people with loan denied, or content creators). Governance Governance for the project is provided by the OSI Board of Directors . The OSI board members have expertise in business, legal, and open source software development, as well as experience across a range of commercial, public sector, and non-profit organizations. Formal progress reports including achievements, budget updates, and next steps are provided monthly by the Program Lead for advice and guidance as part of regular Board business. Additionally, informal updates on the outcomes of key meetings and milestones are provided via email to the Board as required. Details of the current Board, including profiles for each Director are available on here . How to participate The OSAID co-design process is open to everyone interested in collaborating . There are many ways to get involved: Join the working groups : be part of a team to evaluate various models against the OSAID. Join the forum : support and comment on the documents, record your approval or concerns to new and existing threads. Follow the weekly recaps : subscribe to our newsletter and blog to be kept up-to-date. Watch the town hall recordings to learn more about the process. Join the workshops and scheduled conferences : meet the OSI and other participants at in person events around the world. Endorse the Open Source AI Definition : have your organization added to the list of supporters of the OSAID. Previous Work Deep Dive AI Webinar Series 2023 Speakers from law, academia, enterprise, NGOs, and the OSS community presented webinars addressing pressing issues and potential solutions in our use and development of AI systems. All Things Open – Deep Dive AI 2023 After two community reviews and a first pass at comments, we released a new draft version. The base is a preamble to explain “why Open Source AI”, followed by the beginning of a formal definition. 2022 Deep Dive AI Podcasts We released a series of 6 podcasts with experts on the matter to discuss all various aspects of Open Source AI. 2022 Panel Discussions Four experts in Business, Society, Legal, Academia further dissect the issues posed by AI systems. Deep Dive AI: The 2023 Report Update By bringing together experts from various domains, the OSI is actively contributing to the discourse on Open Source AI, laying the groundwork for a future where the principles of openness, transparency, and collaboration continue to underpin the evolution of cutting-edge technologies for the benefit of society as a whole. Read the 2023 Update Deep Dive AI: The 2022 Report What does it mean for an AI system to be Open Source? This report summarizes the discussions above and underscores what we’ve learned about the challenges and opportunities for the Open Source movement posed by AI. Read the 2022 Report Supported by OSI’s efforts wouldn’t be possible without the support of our sponsors and thousands of individual members. Become a sponsor or join us today! Get involved Mastodon Twitter LinkedIn Reddit About About Our team Board of directors Sponsors Programs Blog Press mentions Trademark Bylaws Licenses Open Source Definition Licenses License Review Process Open Standards Requirement for Software Open Source AI Open Source AI OSAI Definition Process Timeline Open Weights FAQ Checklist Forum Community Become an Individual Member Become an OSI Affiliate Affiliate Organizations Maintainers Events Forum OpenSource.net The content on this website, of which Opensource.org is the author, is licensed under a Creative Commons Attribution 4.0 International License . Opensource.org is not the author of any of the licenses reproduced on this site. Questions about the copyright in a license should be directed to the license steward. Read our Privacy Policy Proudly powered by WordPress. Hosted by Pressable. Manage Cookie Consent To provide the best experiences, we use technologies like cookies to store and/or access device information. Consenting to these technologies will allow us to process data such as browsing behavior or unique IDs on this site. Not consenting or withdrawing consent, may adversely affect certain features and functions. Functional Functional Always active The technical storage or access is strictly necessary for the legitimate purpose of enabling the use of a specific service explicitly requested by the subscriber or user, or for the sole purpose of carrying out the transmission of a communication over an electronic communications network. Preferences Preferences The technical storage or access is necessary for the legitimate purpose of storing preferences that are not requested by the subscriber or user. Statistics Statistics The technical storage or access that is used exclusively for statistical purposes. The technical storage or access that is used exclusively for anonymous statistical purposes. Without a subpoena, voluntary compliance on the part of your Internet Service Provider, or additional records from a third party, information stored or retrieved for this purpose alone cannot usually be used to identify you. Marketing Marketing The technical storage or access is required to create user profiles to send advertising, or to track the user on a website or across several websites for similar marketing purposes. Manage options Manage services Manage {vendor_count} vendors Read more about these purposes Accept Deny View preferences Save preferences View preferences {title} {title} {title} Manage consent | 2026-01-13T08:48:29 |
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