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https://github.com/features/models?locale=ko | GitHub Models · Build AI-powered projects with industry-leading · GitHub Skip to content Navigation Menu Toggle navigation Sign in Platform AI CODE CREATION GitHub Copilot Write better code with AI GitHub Spark Build and deploy intelligent apps GitHub Models Manage and compare prompts MCP Registry New Integrate external tools DEVELOPER WORKFLOWS Actions Automate any workflow Codespaces Instant dev environments Issues Plan and track work Code Review Manage code changes APPLICATION SECURITY GitHub Advanced Security Find and fix vulnerabilities Code security Secure your code as you build Secret protection Stop leaks before they start EXPLORE Why GitHub Documentation Blog Changelog Marketplace View all features Solutions BY COMPANY SIZE Enterprises Small and medium teams Startups Nonprofits BY USE CASE App Modernization DevSecOps DevOps CI/CD View all use cases BY INDUSTRY Healthcare Financial services Manufacturing Government View all industries View all solutions Resources EXPLORE BY TOPIC AI Software Development DevOps Security View all topics EXPLORE BY TYPE Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills SUPPORT & SERVICES Documentation Customer support Community forum Trust center Partners Open Source COMMUNITY GitHub Sponsors Fund open source developers PROGRAMS Security Lab Maintainer Community Accelerator Archive Program REPOSITORIES Topics Trending Collections Enterprise ENTERPRISE SOLUTIONS Enterprise platform AI-powered developer platform AVAILABLE ADD-ONS GitHub Advanced Security Enterprise-grade security features Copilot for Business Enterprise-grade AI features Premium Support Enterprise-grade 24/7 support Pricing Search or jump to... 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Get started Pause Pick the right model, fast Run side-by-side evaluations to compare outputs from industry-leading models in real time. No guesswork, just better results. Manage prompts like code Version, share, and reuse your prompts across projects. Treat AI inputs as first-class development assets, just like your source code. Secure by design Control which models your team can use, keep data and prompts private, and ensure everything runs within GitHub and Azure infrastructure. Building with AI, made easy One API key, limitless possibilities Build, test, and ship AI—right from your GitHub workflow. Make direct API calls or integrate with the Azure AI SDK or any supported model SDK. Learn more Instantly access 40+ popular open source and proprietary models Start building fast with plug-and-play code snippets Stay in GitHub—no context switching required /ai/models - logos OpenAI AI21 Labs Mistral AI Microsoft Meta DeepSeek Cohere xAI OpenAI AI21 Labs Mistral AI Microsoft Meta DeepSeek Cohere xAI Prompt engineering meets version control Store, manage, and collaborate on AI prompts just like code, with built-in tools to track changes, preview diffs, and roll back anytime. No more guessing Build faster with structured evaluations. Score outputs on quality, relevance, or any metric you define, using custom evaluators or LLMs as judges. Collaborate in natural language Turn prompt editing into a team sport. Built on trusted pull request workflows, the natural language prompt editor makes it easy for anyone to improve prompt quality. Spark your next build From idea to deployment, GitHub Spark and GitHub Models let you move fast with the right model for the job. Try GitHub Spark Turn your AI vision into reality with GitHub Models Go from prototype to production in a snap. Learn more Get started with GitHub Models GitHub Models documentation Learn how to set up, test, compare, and securely deploy with GitHub Models. View GitHub Models documentation Learn about billing on GitHub If you want to use GitHub Models beyond the free usage included in your account, you can choose to opt-in to paid usage. Learn about billing for GitHub Models Explore models Browse and try out different models from top providers. Discover models Frequently asked questions What is GitHub Models? GitHub Models brings AI directly into the developer workflow by providing access to multiple leading models through a single API key. It allows teams to manage prompts as code, run side-by-side model evaluations, and move from testing to production within the same environment they already use. Is GitHub Models different from GitHub Copilot? Yes, GitHub Models is a separate product, outside of GitHub Copilot. GitHub Models is free for everyone to get started building AI with and can be leveraged directly within GitHub. What is the Models playground? GitHub Models includes a playground where you can explore a curated selection of AI models from providers like OpenAI, Meta, and Microsoft. There you can experiment with prompts, tweak parameters (such as temperature or max tokens), and see how different models respond, all in real time. Can I bring my own model key? Yes, you can bring your own API keys (BYOK) from different providers, such as OpenAI or Azure AI. Model inference runs directly through your provider, and usage is billed and tracked through your provider account. View the GitHub BYOK documentation. How does GitHub Models billing work on GitHub? Billing for GitHub Models is designed to be flexible and to allow you to use your preferred model providers, while also providing the ability to control your spending. 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https://www.suprsend.com/sms-providers-alternatives/7-best-plivo-alternatives-and-competitors-2024-latency-pricing-compliance-api | #7 Best Plivo Alternatives and Competitors (2024) - Latency, Pricing, Compliance, API Product FEATURES Template Engine Powerful template editors for all channels App Inbox Fully customizable inbox for your app & website Analytics Deep data insights on notification performance Logs Real-time notifications logs for all channels Smart Routing Reach users where they are Branding Seamlessly manage multi-brand customization Workflows Craft complex notification workflows Bifrost Run notifications natively on data warehouse Preferences Develop user focused notifications Integrations Integrate any channel and provider within mins Solutions BY USECASES Transactional Real-time alerts like authentication, activity updates Batching & Digest Aggregate multiple alerts into one Collaboration & Action Alerts on cross-user activity Scheduled Notifications One-time or recurring alerts like reminders Multi-tenant Alerts tailored to your customer's preferences Announcement / Newsletters Feature releases, achievements, product & policy updates Pricing Docs Customers Blog Login Get Started For Free Login Sign up #7 Best Plivo Alternatives and Competitors (2024) - Latency, Pricing, Compliance, API Discover the top 7 Plivo alternatives & competitors for 2024. Explore lower-cost options, compliance, and APIs. Join the discussion on Plivo alternatives Reddit. Integrate now Comparative Guide: #7 Best Plivo Alternatives and Competitors (2024) - Latency, Pricing, Compliance, API In a market flooded with SMS providers, selecting the one that suits your needs can be challenging. This comparative guide offers a swift overview of their offerings, making it easy for you to decide. Features Interactive Voice Response Twilio Supported SNS Supported Ring Central Supported Telnyx Supported Bandwidth Supported Sinch Supported MessageBird Supported Recording and Transcriptions Twilio Supported SNS Supported Ring Central Supported Telnyx Supported Bandwidth Supported Sinch Supported MessageBird Supported Carrier Route Optimization Twilio Supported SNS Supported Ring Central Supported Telnyx Supported Bandwidth Supported Sinch Supported MessageBird Supported Free Inbound SMS Twilio Not Supported SNS Not Supported Ring Central Not Supported Telnyx Supported Bandwidth Supported Sinch Not Supported MessageBird Supported Concatenation Twilio Supported SNS Supported Ring Central Supported Telnyx Supported Bandwidth Supported Sinch Supported MessageBird Supported Cost Dedicated Number Twilio $1/month SNS $2/ month Ring Central Monthly Bundled Plan Telnyx $1/ month Bandwidth $0.035/ month Sinch $1/month MessageBird $1/month Incoming SMS Twilio $0.00075/message SNS $0.0075/ message Ring Central $0.0085/ message Telnyx FREE Bandwidth FREE Sinch $0.00078/ message MessageBird FREE Outgoing SMS Twilio $0.00075/message SNS $0.00847/ message Ring Central $0.0085/ message Telnyx $0.067/ message Bandwidth $0.005/ message ++ Sinch $0.00078/ message MessageBird $0.0071/message Security Encryption Twilio TLS 1.2 / HTTP AES 256 SNS AES GCM SSE Ring Central AES 256 Telnyx WebRTC & TLS SRTP/ZRTP Bandwidth TLS Sinch TLS AES 256 MessageBird TLS Certification Twilio ISO/IEC 27017 ISO/IEC 27001 ISO/IEC 27001 FIPS 140-2 Level 3 SOC 2 CSA STAR SNS CCA STAR CCM v4.0 ISO 14001 ISO/IEC 20000-1:2018 ISO/IEC 27001:2013 Ring Central ISO/IEC 27001 ISO/IEC 27017 ISO/IEC 27018 SSAE 16 SOC I Type II SOC 2 Type II Telnyx ISO/IEC 27001:2013 ISO/ IEC 27000 SOC 2 Type II SOC I Type II Bandwidth ISO/IEC 27001:2013 SOC 2 Type II Sinch ISO/ IEC 27001 - 2022 ISO 9001:2015 SOC 2 Type II MessageBird SOC 2 Type II ISO/IEC 27001:2013 Compliance Twilio HIPPA GDPR PCI DSS SNS HIPAA & GDPR FedRAMP PCI Ring Central HIPPA GDPR Telnyx Avaya Compliant HIPPA GDPR Bandwidth CPNI GDPR 7 HIPPA US State Privacy Laws Sinch HIPPA PCI DSS MessageBird GDPR Dutch ACM Authentication IDs / Tokens Twilio Yes SNS Yes Ring Central Yes Telnyx Yes Bandwidth Yes Sinch Yes MessageBird Yes Rate Limits Outbound Throughput Limit Range Twilio 1 MPS SNS 10-300 MPS Ring Central 10 MPS Telnyx 10 MPS Bandwidth 1-100 MPS Sinch 1-75 MPS MessageBird 1 MPS Character Limits Accepted Twilio 1600 Concatenated / 160 SNS 140 Ring Central 160 Telnyx 160 Bandwidth 160 Sinch 2000 Concatenated / 160 MessageBird 160 Features Twilio SNS Ring Central Telnyx Bandwidth Sinch MessageBird Interactive Voice Response Supported Supported Supported Supported Supported Supported Supported Recording and Transcriptions Supported Supported Supported Supported Supported Supported Supported Carrier Route Optimization Supported Supported Supported Supported Supported Supported Supported Free Inbound SMS Not Supported Not Supported Not Supported Supported Supported Not Supported Supported Concatenation Supported Supported Supported Supported Supported Supported Supported Cost Twilio SNS Ring Central Telnyx Bandwidth Sinch MessageBird Dedicated Number $1/month $2/ month Monthly Bundled Plan $1/ month $0.035/ month $1/month $1/month Incoming SMS $0.00075/message $0.0075/ message $0.0085/ message FREE FREE $0.00078/ message FREE Outgoing SMS $0.00075/message $0.00847/ message $0.0085/ message $0.067/ message $0.005/ message ++ $0.00078/ message $0.0071/message Security Twilio SNS Ring Central Telnyx Bandwidth Sinch MessageBird Encryption TLS 1.2 / HTTP AES 256 AES GCM SSE AES 256 WebRTC & TLS SRTP/ZRTP TLS TLS AES 256 TLS Certification ISO/IEC 27017 ISO/IEC 27001 ISO/IEC 27018 FIPS 140-2 Level 3 SOC 2 CSA STAR CCA STAR CCM v4.0 ISO 14001 ISO/IEC 20000-1:2018 ISO/IEC 27001:2013 ISO/IEC 27001 ISO/IEC 27017 ISO/IEC 27018 SSAE 16 SOC I Type II SOC 2 Type II ISO/IEC 27001:2013 ISO/ IEC 27000 SOC 2 Type II SOC I Type II ISO/IEC 27001:2013 SOC 2 Type II ISO/ IEC 27001 - 2022 ISO 9001:2015 SOC 2 Type II ISO/IEC 27001:2013 Compliance HIPPA GDPR PCI DSS HIPAA & GDPR FedRAMP PCI HIPPA GDPR Avaya Compliant HIPPA GDPR CPNI GDPR 7 HIPPA US State Privacy Laws HIPPA PCI DSS GDPR Dutch ACM Authenttication IDs / Tokens Yes Yes Yes Yes Yes Yes Yes Rate Limits Twilio SNS Ring Central Telnyx Bandwidth Sinch MessageBird Outbound Throughput Limit Range 1 MPS 10-300 MPS 10 MPS 10 MPS 1-100 MPS 1-75 MPS 1 MPS Character Limits Accepted 1600 Concatenated / 160 140 160 160 160 2000 Concatenated / 160 160 SMS Price Calculator: The Ultimate SMS Vendor Comparison Tool When it comes to communication APIs and cloud-based solutions, Plivo is often the first name that comes to mind. However, there are several viable Plivo alternatives worth considering for businesses looking to meet their unique communication needs. In this comprehensive comparison, we'll delve into seven notable Plivo competitors, exploring their key features and strengths. We'll draw insights from multiple sources to provide a well-rounded view. 1. Twilio: A Feature-Packed Plivo Alternative Twilio is a versatile business communications software used in over 190 countries worldwide. It offers a scalable cloud communication platform and supports 16 languages in its text-to-speech feature. Twilio connects directly with businesses in supported countries, eliminating the need for a middleman. Unique Features: Powerful AI Integration: Twilio offers advanced AI integration, providing businesses with powerful tools to enhance their customer service and automate workflows, making interactions more efficient and engaging. Comprehensive Communication APIs: With a wide range of APIs for voice, SMS, video, and more, Twilio ensures that you have the tools to meet your specific communication needs. Global Presence with Local Reach: Twilio's global infrastructure enables businesses to have a local presence in multiple countries, fostering a sense of familiarity and trust with customers. Enhanced Security with End-to-End Encryption: Twilio takes security seriously, offering end-to-end encryption to protect sensitive data and ensuring that your communication remains private and secure. Dynamic Scalability: Twilio's dynamic scalability ensures that businesses can expand their communication systems seamlessly as they grow, without disruptions or limitations. Seamless Omni-channel Experience: With Twilio's omnichannel capabilities, you can communicate with customers across various channels, creating a more convenient and connected experience. Pros: AI-driven automation enhances customer interactions. A wide range of communication APIs for diverse needs. A global network with local reach for a broader customer base. Cons: Pricing can be complex and may require careful consideration. Some advanced features may require expertise to fully leverage. Key Specs: 99.99% API uptime. Supports iOS, Android, macOS, Linux, and Windows. Pricing varies based on usage and services. Why Choose Twilio Over Plivo? Twilio offers a feature-rich communication platform with robust AI integration. Comprehensive communication APIs cater to various business requirements. A global presence and enhanced security provide peace of mind. 2. RingCentral: A Robust Alternative to Plivo RingCentral is a well-known cloud phone system available in over 110 countries. It provides powerful APIs for voice, video, SMS/MMS, team messaging, fax, and more. Unique Features: High-Quality and Reliable Cloud VoIP Service: RingCentral's cloud VoIP service ensures high-quality and reliable voice calls, enhancing your organization's professional image. Integration with Microsoft Teams: Simplify collaboration and communication within your organization with integration into Microsoft Teams, making teamwork more efficient. Customizable Dashboard with 30+ KPIs: Gain insights into your communication efficiency with a customizable dashboard featuring over 30 key performance indicators. This data-driven approach helps you make informed decisions. Pros: Switch devices with a single button, ensuring accessibility and flexibility. Pre-built business SMS integrations streamline your messaging processes. Cons: Call quality depends on the internet connection. Occasional slow customer support. Key Specs: 99.999% uptime. Supports web, desktop, Android, and iOS. Why Choose RingCentral Over Plivo? RingCentral offers reliable cloud VoIP and advanced call routing. Integration with Microsoft Teams for enhanced collaboration. Customizable dashboard with a wide range of KPIs for data-driven decision-making. 3. Telnyx: A Reliable Plivo Alternative for Communication Telnyx offers a distributed infrastructure for unified connectivity. It features a global, private, multi-cloud IP network and intuitive APIs. Unique Features: Maximize SMS Delivery with Expert Consultation: Telnyx provides expert consultation to maximize the delivery of your SMS messages, ensuring that your important messages reach your customers promptly. Self-Service Porting with Real-Time Data Validation: Simplify the process of transferring your phone numbers to Telnyx with self-service porting and real-time data validation. 24/7 Support at No Extra Cost: Telnyx offers 24/7 customer support at no additional cost, ensuring that you're never left without assistance, enhancing the reliability of your communication systems. Pros: Competitive pricing model. Intuitive and detailed API documentation. 24/7 customer support. Cons: Learning curve. Occasional glitches and outages. Key Specs: 99.999% uptime. Supports Windows, Mac, iOS, Android. Why Choose Telnyx Over Plivo? Telnyx provides high-quality voice and video communication. Competitive pricing and 24/7 support at no additional cost. Self-service porting with real-time data validation. 4. Bandwidth: A Flexible Plivo Competitor Bandwidth is a communications platform known for its flexibility. It offers messaging, voice calls, and emergency services with extensive developer support. Unique Features: Direct-to-Carrier Network for Quality and Reliability: Bandwidth offers a direct-to-carrier network, ensuring quality and reliability in message and call delivery. Call Transcriptions, Text-to-Speech, and Recording: Enhance communication efficiency with call transcriptions, text-to-speech capabilities, and call recording, providing valuable resources for businesses. Nationwide 911 Connectivity: Bandwidth offers nationwide 911 connectivity, adding an extra layer of safety and compliance to your communication. Emergency Calling API: Handle critical situations efficiently with Bandwidth's emergency calling API, ensuring that you're prepared for emergencies. Pros: Click-to-call app for easy customer reach. Webinars for process improvement, ensuring you're making the most of your communication resources. Cons: Limited global reach. Limited advanced messaging features. Porting delays may impact your communication transition. Key Specs: Prior notice for planned maintenance downtime. Supports Linux distributions. Why Choose Bandwidth Over Plivo? Bandwidth offers a direct-to-carrier network for superior reliability. Comprehensive voice and messaging features, including 911 connectivity. Webinars for continuous process improvement, ensuring that you're optimizing your communication resources. 5. Sinch: A Robust Plivo Alternative Sinch is a communications platform offering customized text campaigns, chatbots, and voice bots for an innovative service. Unique Features: Over 600 Direct Carriers for High Delivery Rates: Sinch boasts over 600 direct carriers, ensuring high delivery rates, and making your messages reach your customers reliably. Video API, SIP Trunking, and In-App Video Calling: Sinch provides an array of video communication options, including video API, SIP trunking, and in-app video calling, enhancing your communication and making customer interactions more engaging. Flash Call and Unified Verification for Cost-Effective Security: Sinch offers cost-effective security measures like Flash Call and unified verification, reducing the risk of fraudulent activity and enhancing your business's trustworthiness. Pros: Easy number porting simplifies the process of transferring your phone numbers to Sinch. Number Look-up feature helps you engage customers with the right numbers, enhancing your outreach. Cons: No desktop application. Occasional SMS delivery issues may affect the reliability of your messaging. Key Specs: 99.95% uptime. Supports Android, iOS, JavaScript SDK. Why Choose Sinch Over Plivo? Sinch boasts over 600 direct carriers for high delivery rates, ensuring that your messages reach their destination. Video API and in-app video calling for enhanced communication, making your customer interactions more engaging. Cost-effective verification methods for businesses, reducing security risks. 6. MessageBird: An Omnichannel Alternative to Plivo MessageBird is a cloud-based messaging platform that excels in providing an exceptional omnichannel communication experience. It allows businesses to integrate various communication channels and services into a single inbox. Unique Features: Omnichannel Capabilities: MessageBird enables you to communicate with customers across multiple channels, making it easier to connect with them where they are most comfortable. Flow Builder for Workflow Automation: With Flow Builder, you can create custom auto-replies and automate various workflows. This feature streamlines communication processes, ensuring that your customers receive timely responses. Two-way Chat Messaging with Push Notifications: MessageBird offers two-way chat messaging with push notifications, facilitating real-time conversations with your customers. Pros: Global coverage ensures that you can connect with customers worldwide. Flow Builder simplifies automation and customization of communication workflows. 24/7 support is available to assist you when you need it. Cons: Limited documentation may require additional effort to get the most out of the platform. Inconsistent delivery rates for SMS messages may affect message reliability. Key Specs: Supports video conferencing, local and toll-free phone numbers, Instagram Messaging API, Google Business Messages, and more. Varies based on usage and services. Why Choose MessageBird Over Plivo? MessageBird offers comprehensive omnichannel capabilities, making it easier to connect with your customers across various channels. Flow Builder streamlines workflow automation, improving communication efficiency. Two-way chat messaging with push notifications ensures real-time conversations with customers. 7. Amazon SNS: A Reliable Plivo Alternative Amazon SNS is a fully managed messaging service that enables you to send messages to a large number of recipients through various communication channels. It serves as a dependable competitor to Plivo, offering seamless message delivery and robust notification capabilities. Unique Features: Multi-Channel Notifications: Amazon SNS allows you to send notifications through multiple channels, including SMS, email, and push notifications. This versatile feature ensures that your messages reach your audience through their preferred communication methods. Flexible Message Scheduling: With Amazon SNS, you can schedule messages to be sent at specific times, optimizing your communication strategy. This is particularly useful for time-sensitive notifications and marketing campaigns. High Reliability: Amazon SNS is designed for high reliability and availability. It ensures that your messages are delivered consistently, making it a dependable choice for businesses with critical communication needs. Pros: Scalable: Amazon SNS can easily scale with your business. Whether you're sending a few messages or millions of notifications, the service can handle your needs effectively. Fully Managed Service: Amazon SNS is a fully managed service by AWS, which means you don't need to worry about the underlying infrastructure, maintenance, and scaling. AWS handles it all for you. Wide Range of Use Cases: Amazon SNS is suitable for various use cases, including mobile app notifications, monitoring and alerting, and marketing campaigns. Cons: Pricing Model: While Amazon SNS offers a free tier with limited usage, pricing can become a concern for businesses with extensive messaging needs. Learning Curve: Configuring and managing Amazon SNS may require a learning curve, especially for users who are new to AWS services. Key Specifications: High Availability: Amazon SNS is designed to ensure high availability, minimizing downtime and message delivery interruptions. Versatile SDKs: It supports various SDKs and programming languages, making it accessible for developers working with different technologies. Pricing: Amazon SNS operates on a pay-as-you-go pricing model. The cost is determined based on your actual usage, and there's a free tier available. Why Choose Amazon SNS Over Plivo? Amazon SNS offers a robust and fully managed messaging service that can handle messages through multiple channels. Its flexibility, high reliability, and scalability make it an excellent alternative to Plivo. Whether you're looking for a solution for mobile app notifications, marketing campaigns, or critical alerting, Amazon SNS provides the capabilities to meet your communication needs. Plivo Limitations While Plivo is a well-established communication platform, it's not without its limitations. Some startups and businesses seeking international communication using VoIP and SMS APIs may find Plivo relatively more expensive. Additionally, Plivo does not offer cost-free incoming SMS and may lack free live support teams, factors that could impact your operating costs. Conclusion When exploring Plivo alternatives, it's important to consider your specific communication needs and the unique features that align with your business goals. Each of these seven alternatives offers distinctive advantages, from high delivery rates and video messaging to omnichannel capabilities and self-service porting. By carefully assessing the unique strengths of these alternatives, you can make an informed decision that optimizes your communication systems, enhances customer interactions, and ultimately supports your business's success. Whether you're seeking advanced security, reliable delivery, cost-effective solutions, or enhanced customer engagement, there's a Plivo alternative to meet your needs. How SuprSend works? More to explore vs. #7 Best Exotel Alternatives and Competitors (2024) - SMS, Latency, Pricing, Compliance, API Discover top 7 Exotel SMS alternatives & competitors for 2024. Explore lower-cost options, compliance, and APIs. Join the discussion on Exotel alternatives Reddit. Check now vs. #7 Best Gupshup Alternatives and Competitors (2024) - SMS, Latency, Pricing, Compliance, API Discover top 7 Gupshup SMS alternatives & competitors for 2024. Explore lower-cost options, compliance, and APIs. Join the discussion on Gupshup alternatives Reddit. Check now vs. #7 Best Karix Alternatives and Competitors (2024) - SMS, Latency, Pricing, Compliance, API Discover top 7 Karix SMS alternatives & competitors for 2024. Explore lower-cost options, compliance, and APIs. Join the discussion on Karix alternatives Reddit. Check now vs. #7 Best Ooma Alternatives and Competitors (2024) - SMS, Latency, Pricing, Compliance, API Discover top 7 Ooma SMS alternatives & competitors for 2024. Explore lower-cost options, compliance, and APIs. Join the discussion on Ooma alternatives Reddit. Check now vs. #7 Best Amazon SNS Alternatives and Competitors (2024) - SMS, Latency, Pricing, Compliance, API Discover top 7 Amazon SNS alternatives & competitors for 2024. Explore lower-cost options, compliance, and APIs. Join the discussion on Amazon SNS alternatives Reddit. Check now vs. #7 Best Telnyx Alternatives and Competitors (2024) - SMS, Latency, Pricing, Compliance, API Discover top 7 Telnyx SMS alternatives & competitors for 2024. Explore lower-cost options, compliance, and APIs. Join the discussion on Telnyx alternatives Reddit. Check now vs. #7 Best Bandwidth Alternatives and Competitors (2024) - SMS, Latency, Pricing, Compliance, API Discover the top 7 Bandwidth SMS alternatives & competitors for 2024. Explore lower-cost options, compliance, and APIs. Join the discussion on Bandwidth alternatives Reddit. Check now vs. #7 Best RingCentral Alternatives and Competitors (2024) - SMS, Latency, Pricing, Compliance, API Discover the top 7 RingCentral SMS alternatives & competitors for 2024. Explore lower-cost options, compliance, and APIs. Join the discussion on RingCentral alternatives Reddit. Check now vs. #7 Best Sinch Alternatives and Competitors (2024) - SMS, Latency, Pricing, Compliance, API Discover the top 7 Sinch alternatives & competitors for 2024. Explore lower-cost options, compliance, and APIs. Join the discussion on Sinch alternatives Reddit. Check now vs. #7 Best Messagebird Alternatives and Competitors (2024) - SMS, Latency, Pricing, Compliance, API Discover the top 7 Messagebird SMS alternatives & competitors for 2024. Explore lower-cost options, compliance, and APIs. Join the discussion on Messagebird alternatives Reddit. Check now vs. #7 Best Vonage Alternatives and Competitors (2024) - Latency, Pricing, Compliance, API Discover the top 7 Vonage alternatives & competitors for 2024. Explore lower-cost options, compliance, and APIs. Join the discussion on Vonage alternatives Reddit. Check now vs. #7 Best Twilio Alternatives and Competitors (2024) - Latency, Pricing, Compliance, API Discover top 7 Twilio alternatives & competitors for 2024. Explore lower-cost options, compliance, and APIs. Join the discussion on Twilio alternatives Reddit. 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https://stackoverflow.co/internal/customers/dropbox/ | How a searchable knowledge management system helped Dropbox reuse knowledge and work more effectively - Stack Overflow Business Stack Internal Features Customers Services Security Pricing Login Try free 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 All customer stories Dropbox How a searchable knowledge management system helped Dropbox reuse knowledge and work more effectively Founded in 2007, Dropbox offers secure, flexible cloud storage and file sharing for individuals, teams, and enterprise customers. Founded in 2007, Dropbox offers secure, flexible cloud storage and file sharing for individuals, teams, and enterprise customers. With Dropbox, teams can work together in one place; manage tasks; and securely store, sync, and share files. Organizations across education, media, technology, retail, and construction use Dropbox as a smart workspace: a digital environment that connects a team’s content, their preferred tools, key stakeholders, and critical conversations in one place—rather than fragmented across different communication and collaboration channels. In all, more than half a million teams rely on Dropbox Business to get things done and protect sensitive information. The problem: Hours wasted answering repeat questions or searching for the right information Lily Chen is an Android engineer working on the mobile foundations team at Dropbox. Their group became a go-to resource within Dropbox for mobile engineering questions, so the team often found itself overwhelmed with repeat questions that were answered (or not) in different documents and formats across their then-current set of tools. Lily's team needed a knowledge management solution that was centralized and searchable, so people could find the information they needed easily without needing to ask the same questions over and over again. “Our big pain points were finding the right links to send around and searchability,” Lily said. “We had a lot of repeated questions, for my team in particular. And we found that we had a couple of teammates who spent a significant amount of their time just fielding questions from other mobile engineers… And a lot of the time they were just responding with links because other people couldn’t find the links.” Lily Chen, Android engineer at Dropbox Members of Lily’s team who had valuable historical knowledge were spending time and energy answering questions they had already answered—often responding with links to information the questioners theoretically had access to, but couldn’t locate because the knowledge base wasn’t searchable. Clearly, this wasn’t an effective or scalable approach. Initially, Lily was looking for a knowledge management solution that would make it easy for everyone to find the answers they needed, when they needed them in a centralized, searchable location. “My team had a quarterly goal of exploring options for knowledge management,” they said, “and then I was put in touch with Ju Shin Lee , a Product Manager who was tackling broader knowledge management solutions for the wider Dropbox community.” Both for the mobile team and across the company, Dropbox needed a solution that would document historical knowledge and connect people with the answers they needed without interrupting developer workflows. Ian Gordon , a Dropbox Engineering Manager, reflected: “We had these subject matter experts and they have a ton of arcane knowledge locked in their brains or possibly in some documents, but getting people to the right documents was really hard.” Ian Gordon, Engineering Manager at Dropbox The challenge for Dropbox, in Ian’s words, was: “How do we solve the problem of finding answers to questions that are either common and keep coming up—frequently asked questions—or questions that are very detailed and specific and may only live in a couple people’s area of expertise?” The solution: A tool to capture and discover knowledge Ju Shin, the Product Manager, saw that the problems Lily and Ian were encountering were also challenges for Dropbox as a whole. Across teams, the company wanted to grow its knowledge base organically, capturing and sharing knowledge without disrupting developer’s workflow or demanding too much time from internal SMEs. Dropbox has been a leader in cloud storage and file sharing for close to 15 years, but their shift to a remote-first workplace over the last two years meant they needed something centralized and searchable to enable knowledge reuse and prevent rework across teams. Dropbox began their search for a new solution by surveying their developers to find out how much time and effort they spent answering questions or tracking down previously-answered questions. One version of the survey went to managers and another to individual contributors (ICs). The findings confirmed that people were indeed spending significant time answering questions or looking for answers to their own queries. Time saved for Dropbox managers... Thirty-four percent of managers said their engineers spent five hours a week answering technical questions, while 48% said their team members spent between five and seven hours a week looking for technical information they needed. ...And for ICs Among ICs, 24% reported spending two hours a week looking for answers to questions they had on infrastructure, components, platforms, systems, or code owned by other teams. About 43% spent between three and five hours a week searching for information. When it came to answering questions, about 40% of ICs reported spending one hour a week, while 46% spend more than an hour. Like Lily, Ju Shin cited searchability and the ability to document historical knowledge for reuse as the top attributes Dropbox needed in a solution. “We picked Stack Overflow to grow that Q&A function,” he explained. “To bring conversations out of the various siloed channels where they had been taking place (email, Slack), which were crowded and full of noise, and put them in a form where knowledge was discoverable.” The approach The pilot Developers at Dropbox were already familiar with Stack Overflow’s public platform; its searchable Q&A platform is a trusted resource for developers, and most already knew how to search and share answers. So it was an easy step to recruit a small group of SMEs and moderators on the mobile team to try Stack Internal. They set out to capture, document, and share internal knowledge. Using the mobile team as a pilot group also made sense because the team comprised SMEs and was the main consumer group for the answers. The mobile team’s relatively small size was another factor that made it ideal for a pilot, Lily said: “Mobile turned out to be a good place to pilot, to try this stuff out in a closed environment. We’re under a hundred people total in the mobile org in comparison to the wider Dropbox [which has more than 2,500 employees].” Dropbox worked with Stack Overflow on a training session for the pilot group, coordinated with a “spring cleaning” week where the team was focused on closing out unfinished projects. Lily asked mobile developers to seed their new workspace with three to five questions they had been asked before, plus the answers. That got the conversation started. “If we go back and look at the metrics,” said Lily, “that week is a very vertical line for the number of questions and answers received.” The rollout After running Stack Internal as a closed experiment with the mobile team for a month, Dropbox began rolling out the tool to the rest of the company: announcing it at an all-hands meeting, recruiting more moderators from across the company to seed additional questions and answers, and scheduling more training sessions. As the number of users grew, Dropbox refined guidelines and showcased the best practices that were working for the mobile team. When Dropbox launched Stack Internal, they also organized a scavenger hunt with the larger EPD (engineering, product, and design) team. This drove adoption by encouraging people to use Stack Overflow. Dropbox also coordinated with Stack Overflow to offer swag to people who participated in the scavenger hunt. Thanks to the mobile team’s positive reputation as Dropbox’s pioneering early adopters, interest in Stack Overflow was high, and Dropbox received many requests for early access. Ju Shin, the Product Manager, recalled, “I was getting so many requests around, ‘Hey, can our team use it? Can I use it? Can I get access?’” The results Since rolling out Stack Internal, Dropbox has seen positive results across the organization, from fewer repeat questions and more knowledge reuse to building a company-wise culture of knowledge sharing. With Stack Overflow for Teams, people are more comfortable asking questions, and they have confidence they’ll find the information they need. And with Stack Internal helping to capture and organize institutional knowledge, the Dropbox team doesn’t worry about losing crucial information if team members move on to other jobs or take an extended trip to the Bahamas. Here are the results they’ve noticed: More knowledge reuse: Fewer repeat questions, since users can easily search for and discover the knowledge they need Improved work experience: Knowledgeable team members don’t have to spend hours (re)answering questions Seamless onboarding: New employees get the information they need; new and outstanding questions are answered for the next cohort Community health: Stack Internal helps the community self-moderate and makes knowledge sharing an integral part of the Dropbox community To measure the success of the adoption, Dropbox tracks two primary metrics: time to answer and reusability. They create monthly reports on these two metrics. In less than a year, the Stack Internal grew from 700 users to close to 1,200. It takes an average of less than two hours to get an answer to new questions and knowledge is reused over 40 times per day on average. They continue to rely on the familiar Q&A structure of Stack Overflow, which has been very useful, said Ian: “I do like that it’s very purpose-built, you know, like I have a question, someone will provide an answer. I can describe that in a sentence. It's been very useful in that regard.” Read next Skai Subject matter experts at Skai got a productivity boost when answers became easily available to all. 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. | 2026-01-13T08:48:15 |
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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 Core Close Software Comparisons — What are the differences, pros and cons? This is a list of top posts that members of the community have created. These are the posts folks have generally continued coming back to over and over again, so we created this page to make some of these more discoverable. Hopefully you better understand some of the differences here once you've found the guide you need! Redux vs Context API: When to use them Declarative vs imperative Using then() vs Async/Await in JavaScript Kubernetes Ingress vs Service Mesh Create react app vs Vite Callbacks vs Promises Constructors in Python ( init vs __new ) When to Use Server-Side rendering vs Static Generation in Next.js CSS Modules vs CSS-in-JS. Who wins? append VS appendChild Cloud Run vs App Engine: a head-to-head comparison using facts and science Logical OR (||) vs Nullish Coalescing Operator (??) in JavaScript Server-Side Rendering (SSR) Vs Client-Side Rendering (CSR) Asp Net Core - Rest API Authorization with JWT (Roles Vs Claims Vs Policy) - Step by Step Python GUI, PyQt vs TKinter web3.js vs ethers.js: a Comparison of Web3 Libraries Cookies vs Local Storage vs Session Storage React Router V5 vs V6 LocalStorage vs Cookies: All You Need To Know About Storing JWT Tokens Securely in The Front-End TailwindCSS vs Styled-Components in ReactJs WebSockets vs Long Polling JSX.Element vs ReactElement vs ReactNode useState() vs setState() - Strings, Objects, and Arrays Methods vs Computed in Vue React: class components vs function components Supabase Vs Firebase Pricing and When To Use Which for loop vs .map() for making multiple API calls 🤝 Promise.allSettled() VS Promise.all() in JavaScript 🍭 React vs Vue vs Angular vs Svelte Azure Artifacts vs Build Artifacts vs Pipeline Artifacts: Difference EXPLAINED! When to use Svelte vs SvelteKit vs Sapper? C#, Task.WhenAll vs Parallel.ForEach Map vs MergeMap vs SwitchMap CSS 3 VS Tailwind CSS Serverless Framework vs SAM vs AWS CDK Angular: Setters vs ngOnChanges - which one is better? Interview question: heap vs stack (C#) JS interview in 2 minutes / Static vs Dynamic typing DynamoDB Scan Vs Query Operation Experiment Result componentWillMount() vs componentDidMount() Anonymous Functions vs Named Functions vs Arrow Functions Flexbox - Align Items vs Align Content. Vue vs React: What to choose in 2021? Laravel Jetstream vs Breeze vs Laravel/ui Linux Vs Windows - Why Linux Is Better For Programming & Web Dev (A newbie experience) Fibonacci: Recursion vs Iteration TypedDict vs dataclasses in Python — Epic typing BATTLE! SSR vs CSR Callback vs Promises vs Async Await Poetry vs pip: Or How to Forget Forever "requirements.txt" Cheat Sheet for Beginners Cypress vs WebdriverIO | Which one to pick? Type Aliases vs Interfaces in TypeScript PyQt vs Tkinter (Spanish) Django vs Mern Which one to choose? YYYY vs yyyy - The day the Java Date Formatter hurt my brain JavaScript - debounce vs throttle ⏱ Go: Fiber vs Echo (a developer point) RxJS debounce vs throttle vs audit vs sample — Difference You Should Know Laravel vs Node.js - Which One Is The Best Back-End To Choose In 2021? Composer update Vs Composer Install Concurrency in modern programming languages: Rust vs Go vs Java vs Node.js vs Deno vs .NET 6 Pure vs Impure Functions Git: Theirs vs Ours Angular vs Blazor? A decision aid for web developers in 2022 APIView vs Viewsets PyQt vs Pyside Eager Loading VS Lazy Loading in SQLAlchemy React vs Vue: Popular Front end frameworks in 2022 OpenAPI spec (swagger) v2 vs v3 apt update vs apt upgrade: What's the difference? 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CAP Theorem: Availability vs consistency Scaling Airflow – Astronomer Vs Cloud Composer Vs Managed Workflows For Apache Airflow MySQL vs MySQLi vs PDO Performance Benchmark, Difference and Security Comparison For PHP devs - PHP Storm vs VSCode Difference Between Message vs Event vs Command Document vs Relational Databases IntelliJ vs Eclipse vs VSCode CSS position fixed vs sticky Telegraf VS Node-Telegram-Bot-API Flatpak vs Snaps vs AppImage vs Packages - Linux packaging formats compared Pytest vs Cypress: A fair fight in UI testing? Inline vs Inline-block vs Block Logging vs Tracing: Why Logs Aren’t Enough to Debug Your Microservices Solidity Gas Optimizations pt.1 - Memory vs Storage Bicep vs ARM templates Nest.js vs Express.js Retry vs Circuit Breaker Custom react hooks vs services Global vs Local State in React The What, Why, and When of Mono-Lambda vs Single Function APIs Frontend vs Backend: Which One Is Right For You? 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CSS Drop Shadow vs Box Shadow Infrastructure-as-Code vs Configuration Management TypeScript: type vs interface Head recursion Vs Tail recursion Dev.to VS Hashnode VS Medium: Pick ONE Classes vs Functional components in React The Battle of the Array Titans: Lodash vs Vanilla - An Experiment AWS EventBridge vs S3 Notification Inheritance Vs Delegation JavaScript vs JavaScript. Fight! Interface vs Type in Typescript setTimeout vs setImmediate vs process.nextTick Kotlin vs Python Kotlin Multiplatform vs Flutter: Which One to Choose for Your Apps Supervised Learning vs Unsupervised Learning React Hooks API vs Vue Composition API, as explored through useState DEV VS Hashnode VS Medium: Where Should You Start Your Tech Blog Implementing React Routes (Part -2) Link Vs NavLink Vanilla CSS VS CSS Frameworks Postman vs Insomnia: which API testing tool do you use? Serif vs Sans-serif vs Monospaced Getting started with fp-ts: Either vs Validation Typescript Implicit vs Explicit types CWEs vs OWASP top 10? Understanding Offset vs Cursor based pagination Material Design 1 vs Material Design 2 Signed vs Unsigned Bit Integers: What Does It Mean and What's The Difference? default vs null - which is a better choice, and why? Summary of Flutter vs Tauri SpringBoot2 Blocking Web vs Reactive Web JSON-RPC vs REST for distributed platform APIs Explain RBAC vs ACL Like I'm Five .map() vs .forEach() Difference between Dialogflow CX vs Dialogflow ES API keys vs JWT authorization – Which is best? find() vs filter() Snake Case vs Camel Case AWS vs OCI Object Storage options and comparison MAUI XAML vs MAUI Blazor Pointer vs Reference in C++: The Final Guide Comparing reactivity models - React vs Vue vs Svelte vs MobX vs Solid vs Redux Frontend vs Backend, which do you prefer and why? Remix vs Next.js: A Detailed Comparison NodeJS vs Apache performance battle for the conquest of my ❤️ ⚔️ Functional vs Object Oriented vs Procedural programming Lazy vs Eager Initialization Laravel ORM vs Query Builder vs SQL: SPEED TEST! Concurrency in Go vs Erlang TypeScript ANY vs UNKNOWN—A Deep Dive MVC vs MVP vs MVVM Design Patterns GNOME vs KDE Plasma Database Views vs Table Functions Server Side Rendering vs Static Site Generation vs Incremental Static Regeneration Understanding Rendering in Web Apps: SPA vs MPA 'any' vs 'unknown' in TypeScript 👀 TypeORM - Multiple DB Calls vs Single DB Call JS array vs object vs map Benchmarking Python JSON serializers - json vs ujson vs orjson textContent VS innerText Web2 vs Web3 Opinion: Architect VS Engineer VS Developer Jenkins pipeline: agent vs node? 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Pagination in an API: page number vs start index SVG sprites vs CSS background image for multiple instances of icons Javascript Streams vs Generators JS Date vs Moment.js: A Really Simple Comparison AMQP vs HTTP return Task vs return await Task Arrow Function vs Function Front-end vs Back-end, and Static vs Dynamic Websites setImmediate() vs setTimeout() vs process.nextTick() Solace PubSub+ vs Kafka: The Basics Agency VS Product Company: Which One's Right for You? Stateless vs Stateful - Which direction should you take? Clean Architecture vs Vertical Slice Architecture Functional programming vs object oriented programming Using Array.prototype.includes() vs Set.prototype.has() to filter arrays Hot vs Cold Observables Reassignment vs Mutability Database (Schema) migration to Kubernetes - initContainers vs k8s jobs - Gatsby vs Next.JS - What, Why and When? Which is faster: obj.hasOwnProperty(prop) vs Object.keys(obj).includes(prop) React Fragment VS Div Happy coding! 💎 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 Forem Core — Discussing the core forem open source software project — features, bugs, performance, self-hosting. 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 . Forem Core © 2016 - 2026. Community building community Log in Create account | 2026-01-13T08:48:15 |
http://apihandyman.io/posts/ | API Handyman | Posts API Handyman Blog All content Posts Talks & Podcasts Blog Posts Talks & Podcasts Toolbox About Hi! I'm Arnaud Lauret, the API Handyman and author of The Design of Web APIs. You'll find here all my posts. You can also read my book How to check the presence of an element with Spectral By Arnaud Lauret, November 23, 2022 When linting an OpenAPI document (or any other JSON or YAML document with Spectral), the hardest part is ensuring you’re not missing your target and so be sure that expected checks will be done. In this post, we’ll see how to be sure a Spectral rule will be triggered when checking the presence of an element. The contributions and limitations of API contract linting in API governance By Arnaud Lauret, November 15, 2022 As API governance often rhymes with “policy enforcement,” API contract linting can be seen as the panacea of API governance: it can be used to ensure API contracts conform to pre-defined rules. But both API linting and API governance are more than that. Let’s discover the contributions and limitations of API contract linting in API governance. Prefixing or not prefixing property names? By Arnaud Lauret, November 8, 2022 Adding a prefix to a name should be carefully weighed because it impacts the overall design of an API, some code, or a specification and its usability for humans and machines. The discussion related to apiResponses , pathResponses , and responses properties in the early design of OpenAPI v4 is a perfect example of that concern. The 4 values of API governance By Arnaud Lauret, October 25, 2022 API governance means policies, institutions, processes, and indicators. But without the alignment, enablement, collaboration, and guidance values in mind, API governance can quickly become a senseless, kafkaesque, and counter-productive API dictatorship, which will slowly but surely kill the organization, or its APIs at the least. The 4 components of API governance By Arnaud Lauret, October 18, 2022 After formally defining API governance relative to IT governance, corporate governance, and governance, let’s dive deeper and describe the four components of API governance: policies, institutions, processes, and indicators. Attempting to define API governance By Arnaud Lauret, September 8, 2022 In the collective unconscious, API governance often rhymes with API police. Reducing API governance to the need for order caused by the chaos of an organization’s myriad APIs is too reductive, and it risks not looking at the problem at hand from the right angle. Why not define API governance relatively to IT governance, corporate governance, and governance to better understand what it is? OpenAPI Specification Reference Series - Part 2 What is the info property in OpenAPI? By Arnaud Lauret, July 21, 2022 The info property of an OpenAPI document contains metadata that provides an overview of an API, but what does it represent exactly? How did it evolve across the OpenAPI Specification versions? And how to can it be used and misused? This is the second post in the OpenAPI Specification Reference series. OpenAPI Specification Reference Series - Part 1 What is the openapi property? By Arnaud Lauret, July 6, 2022 No OpenAPI document without the openapi property, but what does it represent? How did it evolve across the OpenAPI Specification versions? And how to take advantage of it? This is the first post in the OpenAPI Specification Reference series. Lint APIs with Spectral By Arnaud Lauret, June 15, 2022 Are you struggling to design consistent APIs? On the verge of losing sanity while checking every single property of every schema is camelCased? Never remembering the parameters to use for pagination? Spectral is the tool you need: it will lint JSON Schema, AsyncAPI, and OpenAPI documents and do those checks for you. The 15 rules of the OpenAPI-based tools club By Arnaud Lauret, June 1, 2022 The OpenAPI Specification can facilitate everyone’s life and participate in the creation of better APIs and a better API ecosystem. But it will work only if the members of the OpenAPI-based tools club follow the rules. 1 12 Privacy Policy & Settings © 2015-2024 Arnaud Lauret By continuing to use this web site you agree with the API Handyman website privacy policy (effective date , June 28, 2020). Read privacy policy Happy with that Read privacy policy Happy with that | 2026-01-13T08:48:15 |
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Dismiss alert {{ message }} AI GitHub Copilot Navigation menu Visual Studio Code の GitHub Copilot GitHub のエージェント GitHub Copilot CLI ビジネス向け チュートリアル プランと価格 GitHub Copilot 才能を最大限に生かす エディターからエンタープライズまで、あらゆるワークフローのための AI アクセラレーター。 無料で始める プランと価格をチェック Pause Companies using Copilot Coyote Logistics Duolingo General Motors Mercado Libre Shopify Stripe CocaCola Coyote Logistics Duolingo General Motors Mercado Libre Shopify Stripe CocaCola 画一的なアプローチの上を行く スピード、精度、またはコストのために最適化された主要大規模言語モデルから選択します。 自分のやり方でエージェントを使用 GitHub Copilot、独自のカスタム エージェント、またはすでに活用しているサードパーティー エージェントを使用します。 いつものペースを維持 GitHub Copilot は、GitHub、統合開発環境、プロジェクト ツール、チャット アプリケーション、カスタム MCP サーバーなど、ユーザーが作業する場所で動作します。 ワークフロー コード、コマンド、コラボレート AI は、エディター、コマンドライン、GitHub であるかにかかわらず、ユーザーが作業する場所で動作します。 エディターを最強のアクセラレーターに変換 エディター内の GitHub Copilot が、コンセプトの説明、コードの保管、編集の提案、エージェント モードでのファイルの検証といったあらゆる作業を実行します。 統合開発環境内のGitHub Copilotの詳細はこちら ユーザーと連携してコーディングするAIでより迅速にリリース コードの記述、プルリクエストの作成、フィードバックへの応答をバックグラウンドで自律的に行える GitHub Copilt、あるいは Claude by Anthropic や OpenAI Codex などのサード パーティ コーディング エージェントに問題を直接割り当てます。 GitHub Copilot コーディングエージェントの詳細はこちら ターミナル ワークフローにAIを導入 ターミナルで自然言語を使って GitHub Copilot に指示を出し、Copilot が GitHub コンテンツを利用して複雑なワークフローを計画、構築、実行する様子をご覧ください。 GitHub Copilot CLIの詳細はこちら GitHub Copilotを使用して開発生産性を94%向上させるGrupo Boticário お客様事例を読む 組織に合わせてオーダーメイド ビジネス ニーズに合わせて GitHub Copilot を作り変えましょう。何を知っているか、どのように行動するか、何に接続するかをカスタマイズします。 GitHub Copilotをプロジェクト エキスパートに変換 ドキュメントやリポジトリからのコンテキストが含まれた共有の信頼できる情報源を作成することで、知識を拡大し、チームの一貫性を維持します。 GitHub Copilot Spaces を試す エンタープライズ グレードのコントロールでエージェントの使用状況を管理 詳しい監査ログでアクティビティを追跡し、単一のコントロール プレーンからエージェントを管理することでガバナンスを適用します。 ドキュメントを読む MCPインテグレーションをセキュア化 統合開発環境からアクセスできる MCP サーバー開発者を制御し、許可リストを使用して許可されていないアクセスを防ぎます。 ドキュメントを読む プラン GitHub Copilot で新たな一歩を踏み出す 個人向け ビジネス向け Free GitHub Copilot の使用をすばやく開始する方法。 $ 0 USD 使い始める VS Code で開く 特典 1 か月あたり 50 件のエージェント モードまたはチャットリクエスト 1 か月あたり 2,000 件のコード補完 Haiku 4.5、GPT-4.1 などへのアクセス Pro ベストセラー GitHub Copilot でワークフローを高速化。 $ 10 USD 月額 (または年額 $100) 30 日間無料で試す Free プランの全特典プラス: GitHub Copilot コーディングエージェント GPT-5 miniを使用した無制限の エージェント モードとチャット 無制限のコード補完 Anthropic、Google、OpenAI などが提供するモデルにアクセスする 最新モデルを使用するためのプレミアム リクエスト数は300件。さらに多くのプレミアム リクエストを購入するオプション付きです 認証済みの学生、教師、および一般的なオープン ソース プロジェクトのメンテナーによる使用は無料です。 詳しくはこちら Pro+ エージェントとより多くのモデルでスケール。 $ 39 USD 月額 (または年額 $390) 使い始める Pro プランの全特典プラス: Claude Opus 4.1などを含めたすべてのモデルにアクセス 最新モデルを使用するためのプレミアム リクエストの件数がGitHub Proの5倍。さらに多くのプレミアム リクエストを購入するオプション付きです GitHub Spark へのアクセス Visual Studio CodeでのCodex IDE拡張機能のサポート GitHub Copilot はお気に入りのプラットフォームで利用できます。 GitHub GitHub VS Code VS Code Visual Studio Visual Studio Xcode Xcode JetBrains IDEs JetBrains IDEs Neovim Neovim Azure Data Studio Azure Data Studio Eclipse Eclipse Raycast Raycast すべてのプラン機能を比較する GitHub Copilot を最大限に活用する 最新機能をプレビュー GitHub Copilot の最新情報をまっ先に入手しましょう。 プレビューを見る GitHub ブログを読む インサイトやベストプラクティスなどを含めた、ソフトウェア開発における最新情報をお読みください。 ブログを読む GitHub Copilot トラスト センターにアクセス セキュリティ、プライバシー、責任あるAIに関する GitHubのポリシーを確認できます。 トラスト センターに移動 よくある質問 全般 GitHub Copilot とは何ですか? GitHub Copilot はデベロッパーエクスペリエンスを変革します。AI のリーダーたちがバックアップする GitHub Copilot は、統合開発環境でのコード補完とチャット アシスタンスから、コードの説明、GitHub のドキュメントに対する回答などに至るまで、ソフトウェア開発ライフサイクル全体を通してコンテキストに即したアシスタンスを提供します。GitHub Copilot によってワークフローを強化できるため、開発者は価値、イノベーション、幸せに集中できるようになります。 GitHub Copilot により、開発者は定型的なボイラープレート コードにかける手間を減らし、問題解決とコラボレーションにいっそうのエネルギーを注ぐことができます。だからこそ、GitHub Copilot を使用する開発者の仕事に対する満足度は使用しない開発者よりも最大 75% 高く、コード記述の面でも、品質を犠牲にすることなく生産性が最大 55% 向上したことが報告されているのです。そのすべてが相まって、優れたソフトウェアをより迅速にリリースする熱心な開発者が生まれているのです。 GitHub Copilot は、Visual Studio Code、Visual Studio、JetBrains IDEs、Neovim などの主要なエディターと統合されており、他の AI コーディング アシスタントとは異なり、GitHub にネイティブに組み込まれています。何百万人もの個人ユーザー、何万ものビジネス カスタマーに活用されるほどの成長を続ける GitHub Copilot は、世界で最も幅広く導入されている AI 開発者用ツールであり、開発者が名指しで要求する競争優位性を備えています。 誰が GitHub Copilot に無料でアクセスできますか? GitHub Copilot Free は新しい無料の価格ティアであり、個人開発者向けの限定的な機能を備えています。GitHub Copilot Business シートまたは GitHub Copilot Enterprise シートが割り当てられているユーザーは GitHub Copilot Free にアクセスできません。有料プラン、トライアル、または検証された既存のオープン ソース ソフトウェア、学生、教員、MVP アカウント経由で GitHub Copilot Pro にアクセスするユーザーは、Pro の代わりに Free の使用を選択できます。 GitHub Copilot はどの言語、統合開発環境、プラットフォームをサポートしていますか? GitHub Copilot は、パブリック リポジトリで公開されているすべての言語でトレーニングされています。各言語で受け取る提案の品質は、その言語のトレーニング データの量と多様性に応じて異なる場合があります。例えば、JavaScript はパブリック リポジトリで頻繁に使用されている言語であり、GitHub Copilot によるサポート レベルが最も高い言語の 1 つです。パブリック リポジトリでの使用頻度が低い言語では、生成される提案の数が少なくなり、堅牢性も低くなる可能性があります。 GitHub Copilot は、Visual Studio Code、Visual Studio、Vim、Neovim、JetBrains の一連の統合開発環境、Azure Data Studio の拡張機能として利用できます。コード補完機能はこれらすべての拡張機能で利用できますが、現在チャット機能を利用できるのは Visual Studio Code、JetBrains、Visual Studio のみです。また、GitHub Copilot は GitHub CLI を使用するターミナルでサポートされており、Windows Terminal Canary でのチャット インテグレーションとしてもサポートされています。GitHub Copilot Enterprise プランの場合、GitHub.com に GitHub Copilot がネイティブに統合されています。GitHub Mobile の GitHub Copilot では、すべてのプランがサポートされています。GitHub Copilot Pro と GitHub Copilot Business の GitHub Mobile は、Bing とパブリック リポジトリのコード検索にアクセスできます。GitHub Mobile の GitHub Copilot Enterprise では、さらに組織のナレッジにもアクセスできます。 GitHub Copilot はコードを「コピペ」しますか? いいえ、GitHub Copilot は確率的決定を使用して提案を生成します。 知的財産権とオープン ソースの問題を考えるときは、GitHub Copilot の仕組みを理解することが極めて重要です。GitHub Copilot の提案を作成する AI モデルはパブリック コードでトレーニングされてはいるものの、モデルにコードは含まれていません。モデルが提案を生成するときは、どのコード ベースからも「コピー& ペースト」しません。 コード提案を生成するために、GitHub Copilot Extensions はエディターでコードを調べることから始めます。カーソルの直前と直後の行に焦点を当てますが、エディターで開いている他のファイルや、関連するコンテキストを特定するためのリポジトリの URL やファイル パスなどの情報も含まれます。その情報は GitHub Copilot のモデルに送信され、次に何が起こる可能性が高いかについて確率的決定を行い、提案を生成します。 コード エディタでチャットの提案を生成するには、GitHub Copilot Extensions が、プロンプトと、アクティブなドキュメントで開いているコード ファイル、コードの選択、およびフレームワーク、言語、依存関係などの一般的なワークスペース情報を含む追加のコンテキストを組み合わせて、コンテキスト プロンプトを作成します。その情報は GitHub Copilot のモデルに送信され、次に何が起こる可能性が高いかについて確率的決定を行い、提案を生成します。 チャット プロンプトからの質問に対する回答を提供するなど、GitHub.com でチャットの提案を生成するには、GitHub Copilot がプロンプトを、以前のプロンプト、GitHub.com で開いているページ、コード ベースまたは Bing 検索から取得したコンテキストなどの追加のコンテキストと組み合わせて、コンテキスト プロンプトを作成します。その情報は GitHub Copilot のモデルに送信され、次に何が起こる可能性が高いかについて確率的決定を行い、提案を生成します。 GitHub Copilot Business、GitHub Copilot Enterprise、GitHub Copilot 個人向けの各プランの違いは何ですか? GitHub Copilot には、組織向けのプランと、個人開発者向けのプランがあります。すべてのプランにコード補完機能とチャット アシスタンスの両方が含まれています。組織向けプランと個人開発者向けプランの主な違いは、ライセンス管理、ポリシー管理、IP 補償です。 組織は、GitHub Copilot Business と GitHub Copilot Enterprise のどちらかを選択できます。GitHub Copilot Business では、主にコーディング環境 (統合開発環境、CLI、GitHub Mobile) で GitHub Copilot が機能します。GitHub Copilot Enterprise にはすべての GitHub Copilot Business 機能が含まれています。組織に追加のカスタマイゼーション機能を提供するとともに、チャット インターフェイスとして GitHub.com に統合し、開発者がプラットフォーム全体で GitHub Copilot と会話できるようにします。GitHub Copilot Enterprise は、組織のコード ベースをインデックス化してお客様の知識に関する理解を深め、より高度にカスタマイズされた提案を提供することができ、コード補完に向けて微調整されたカスタム プライベート モデルへのアクセスをお客様に提供します。 GitHub Copilot Individual は、個人開発者、フリーランサー、学生、教育者、オープン ソース メンテナー向けに設計されています。このプランには、組織的なライセンス管理、ポリシー管理、IP 補償以外のすべての GitHub Copilot Business 機能が含まれています。 GitHub Copilot はどのデータでトレーニングされていますか? GitHub Copilot は、GitHub、OpenAI、Microsoft が開発した生成 AI モデルを利用しています。これは、自然言語テキストと、GitHub のパブリック リポジトリ内のコードを含めた一般提供されているソースからのソース コードでトレーニングされています。 GitHub Copilot Autofix が含まれているのはどのプランですか? コンテキストに応じた説明とコード提案を行って開発者がコード内の脆弱性を修正できるようにする GitHub Copilot Autofix は GitHub Advanced Security に同梱されています。 GitHub Copilot が不要な場合はどうすればよいですか? GitHub Copilot の使用は完全に任意であり、アクセスする前にオプトインする必要があります。GitHub Copilot の使用は簡単にエディタ内から直接設定でき、いつでも有効化または無効化することが可能です。また、GitHub Copilot をアクティブ化するファイル タイプも制御できます。 企業内で GitHub Copilot へのアクセスを制御するにはどうすればよいですか? GitHub Copilot Business と Enterprise へのアクセスの管理は GitHub 管理者が行っています。GitHub 管理者は、プレビュー機能やモデルへのアクセスを制御し、組織の GitHub Copilot ポリシーを設定することができます。さらに、ネットワーク ファイアウォールを使用して GitHub Copilot Business へのアクセスを明示的に許可したり、GitHub Copilot Pro や GitHub Copilot Free へのアクセスをブロックしたりできます。詳細については、 ドキュメント を参照してください。 プランと価格 Free、Pro、Business、Enterprise の各プランの違いは何ですか? GitHub Copilot には、組織向けのプランと、個人開発者向けのプランがあります。すべてのプランにコード補完機能とチャット アシスタンスの両方が含まれています。組織向けプランと個人開発者向けプランの主な違いは、ライセンス管理、ポリシー管理、IP 補償です。 組織は、GitHub Copilot Business と GitHub Copilot Enterprise のどちらかを選択できます。GitHub Copilot Business では、主にコーディング環境 (統合開発環境、CLI、GitHub Mobile) で GitHub Copilot が機能します。GitHub Copilot Enterprise にはすべての GitHub Copilot Business 機能が含まれています。組織に追加のカスタマイゼーション機能を提供するとともに、チャット インターフェイスとして GitHub.com に統合し、開発者がプラットフォーム全体で GitHub Copilot と会話できるようにします。GitHub Copilot Enterprise は、組織のコードベースをインデックス化してお客様の知識に関する理解を深め、より高度にカスタマイズされた提案を提供することができ、コード補完に向けて微調整されたカスタム プライベート モデルへのアクセスをお客様に提供します。 GitHub Copilot Pro は、個人開発者、フリーランサー、学生、教育者、オープン ソース メンテナー向けに設計されています。このプランには、組織的なライセンス管理、ポリシー管理、IP 補償以外のすべての GitHub Copilot Business 機能が含まれています。 GitHub Copilot Free ライセンスを GitHub Copilot Pro ライセンスにアップグレードするにはどうすればよいですか? Free プランをご利用中の場合、 GitHub Copilot 設定ページ または直接 GitHub Copilot マーケティング ページ から GitHub Pro にアップグレードできます。 GitHub Copilot Free には何が含まれていますか? GitHub Copilot Free ユーザーの場合、コード補完が 2,000 回、チャット リクエストが 50 回に制限されています (GitHub Copilot Edits を含む)。 GitHub Copilot Autofix が含まれているのはどのプランですか? コンテキストに応じた説明とコード提案を行って開発者がコード内の脆弱性を修正できるようにする GitHub Copilot Autofix は GitHub Advanced Security に同梱されており、すべてのパブリック リポジトリで利用できます。 Organization のユーザーは、GitHub Copilot のライセンスがなくてもプルリクエストの GitHub Copilot コード レビューを使用できますか? Organization は、github.com のすべてのプルリクエストの GitHub Copilot コード レビューを有効化できるようになりました。これには、GitHub Copilot ライセンスを割り当てられていないユーザーからのプルリクエストも含まれます。 これにより、プルリクエストの作成者にかかわらず、すべてのプルリクエストに GitHub Copilot コード レビューの高品質かつリッチな分析を拡張して完全なカバレッジを得られ、プルリクエストがレビューされていることに確信を持てるようになります。 この機能を有効にするには、Enterprise/Organization の管理者はまず GitHub Copilot を有効化した後、2 つのポリシーを有効化する必要があります。 メモ : この機能は VS Code またはその他の統合開発環境の GitHub Copilot コード レビューではサポートされていません。 GitHub Copilot ライセンスを持たないユーザーの GitHub Copilot コード レビューの使用についてはどのように請求されますか? ライセンスを持たないユーザーによる使用については、GitHub Copilot コード レビューの標準倍率で"プレミアム リクエスト" (PRU) として Organization に直接請求されます。この柔軟なモデルにより、GitHub Copilot を必要としない開発者以外のコントリビュータ向けに完全な GitHub Copilot シートを購入する必要なく、すべての PR を網羅して完全なレビューを行えます。ライセンスを付与された既存のユーザーによる使用分は引き続き、現在と同様に各ユーザーの月間の割当量から差し引かれます。 GitHub Copilot のライセンスを持たないユーザーによる GitHub Copilot コード レビューの使用は既定で有効化されますか? コストをどのようにして管理できますか? いいえ。この機能は既定ではオフになっており、Enterprise の管理者が有効化または無効化の管理を行います。管理者は明示的に 2 種類のポリシーをアクティブにする必要があります。 [Premium request paid usage (プレミアム リクエストの有料利用)] を有効にして、月間の割当量を超過したプレミアム リクエストの料金が Enterprise に請求されるようにする必要があります。 新しい GitHub Copilot コード レビュー ポリシー ( [Allow members without a Copilot license to use Copilot code review in github.com (GitHub Copilot ライセンスのないメンバーが github.com で GitHub Copilot コードレビューを使用できるようにする)] ) も有効にする必要があります。 特に、[Premium request paid usage (プレミアム リクエストの有料利用)] ポリシーをこれまでに有効にしたことのない顧客の場合、GitHub は管理者に対し、 従量課金制製品の支出を管理するための予算の設定 を行うことを推奨します。すべてのプレミアム リクエストの使用については、請求ダッシュボードで追跡して支出を監視、管理できます。 プライバシー GitHub Copilot はどのような個人データを処理しますか? GitHub Copilot は、GitHub Copilot へのアクセスおよび使用方法に基づいて個人データを処理します。これは、GitHub.com、モバイル アプリケーション、拡張機能、さまざまな統合開発環境の拡張機能の 1 つを介して行うか、コマンド ライン インターフェイス (CLI) の提案、統合開発環境におけるコード補完、GitHub.com でのパーソナライズされたチャットなどの機能を通じて行います。処理される個人データの種類には次のものが含まれます。 ユーザー エンゲージメント データ: これには、承認または却下されたコード補完、エラーメッセージ、システム ログ、製品使用状況メトリックなど、GitHub Copilot とのユーザー対話で取得された仮名化されたID が含まれます。 プロンプト: チャットやコーディングのための入力で、提案を生成するためにコンテキストとともに GitHub Copilot の AI に送信されます。 提案: AI 生成コード行またはチャット応答で、プロンプトに基づいてユーザーに提供されます。 フィードバック データ: リアルタイムのユーザー フィードバックで構成されており、リアクション (サムズアップ/ダウンなど) やオプションのコメントのほか、サポート チケットからのフィードバックが含まれます。 GitHub のモデルをトレーニングするために GitHub Copilot Business または GitHub Copilot Enterprise のデータを使用しますか? いいえ。GitHub はモデルのトレーニングに GitHub Copilot Business または GitHub Copilot Enterprise のデータのいずれも使用しません。 GitHub は Copilot データをどのように使用しますか? GitHub が Copilot データをどのように使用するかは、ユーザーがどのように Copilot にアクセスするか、またその目的によって異なります。ユーザーは、Web、拡張機能、モバイル アプリケーション、コンピューター端末、およびさまざまな IDE (統合開発環境) を通じて GitHub Copilot にアクセスできます。GitHub は通常、次の目的で個人データを使用します。 お客様の構成と使用状況に応じてサービスを提供、維持、更新し、パーソナライズされたエクスペリエンスと推奨事項を保証します トラブルシューティングには、ソフトウェアのバグを修正し、オンライン サービスの機能と最新性を維持することにより、セキュリティ インシデントや製品関連の問題を含む問題の予防、検出、解決、軽減が含まれます。 サービスを最新かつ運用可能な状態に維持することで、ユーザーの生産性、信頼性、有効性、品質、プライバシー、アクセシビリティ、セキュリティを強化します。 これらのプラクティスは、GitHub のデータ保護契約 ( DPA) に概説されており、データ管理者のお客様に対するデータ処理に関するコミットメントが詳しく説明されています。 GitHub は、DPA に基づきお客様の承認を得て、次の目的で特定の個人データも使用します。 請求とアカウント管理 法的義務を遵守し、解決する 不正行為の検出、防止、保護、ウイルス スキャン、および利用規約違反を検出するためのスキャン 従業員のコミッションとパートナーのインセンティブを計算するための概要レポートを生成する 予測、収益分析、容量計画、製品戦略などの分野をカバーする、内部使用および戦略計画用の集約レポートを作成する コントローラーとしての GitHub のデータ処理アクティビティ (特に GitHub Copilot Pro のお客様について) に関する詳細は GitHub Privacy Statement (GitHub のプライバシー ステートメント) を参照してください。 GitHub は Business および Enterprise ユーザーの Copilot データをどのくらいの期間保持しますか? GitHub が Copilot データを保持するかどうか、および保持する期間は、Copilot ユーザーが Copilot にアクセスする方法とその目的によって異なります。Copilot Business および Enterprise ユーザーのデフォルト設定は次のとおりです。 チャットとコード補完のために IDE 経由でアクセスします。 プロンプトと提案: 保持されません ユーザーエンゲージメントデータ: 2 年間保存されます。 フィードバック データ: 本来の目的に必要な期間保存されます。 他のすべての GitHub Copilot は以下にアクセスして使用します。 プロンプトと提案: 28 日間保持されます。 ユーザーエンゲージメントデータ: 2 年間保存されます。 フィードバック データ: 本来の目的に必要な期間保存されます。 GitHub Copilot 機能の一部がプロンプトや提案を保持するのはなぜですか? GitHub.com、モバイル、CLI Copilot でのチャットの有効性は、応答を改善するためのスレッド履歴の使用に依存しているため、これらの機能にはプロンプトや提案の維持が必要になります。GitHub Copilot モデルは、正確かつ関連性の高い提案を提供するために、以前のやり取りにアクセスする必要があります。 GitHub Copilot は GDPR やその他のデータ保護法の遵守をサポートしていますか? はい。GitHub とお客様は、GDPR および同様の法令への準拠をサポートする データ保護契約 を締結できます。 GitHub Copilot が個人データを出力する可能性はありますか? GitHub Copilot はプライバシーを念頭に設計されていますが、EU 一般データ保護規則 (GDPR) といった法令に基づく個人データの定義は広範に及ぶため、GitHub Copilot が個人データを出力することは一切ないという保証はできません。GitHub Copilot の原動力である大規模言語モデル (LLM) はパブリック コードでトレーニングされており、このツールが GitHub のテストで個人データに似通った提案を行ったケースもありました。これらの提案は概して合成されたものであり、実際の個人に紐づくものではありませんでした。 GitHub Copilot は、ユーザーによる個人データへのアクセス、その変更や削除をどのように許可していますか? これらのアクションについて、GitHub Copilot ユーザーは GitHub Privacy Statement (GitHub のプライバシー ステートメント) で説明されているとおりにご利用いただけます。 責任ある AI GitHub Copilot の使用時における知的財産関連の考慮事項には何がありますか? GitHub Copilot の主な IP 考慮事項は、著作権に関するものです。Copilot が活用するモデルは、一般アクセスが可能なコードの幅広いコレクションでトレーニングされています。これには著作権で保護されたコードが含まれている場合があり、Copilot の提案がモデルのトレーニングに使用されたコードに似ている場合もごくまれにあります。以下は、これらの考慮事項について知っておく必要がある基本的な情報です。 著作権法は、AI モデルのトレーニングにおける著作物の使用を許可しています。世界中の国々の著作権法に、マシンが著作権で保護された素材 (ソフトウェア コードを含む) から学ぶ、理解する、パターンや事実を抽出することを可能にする条項があります。たとえば、欧州連合、日本、シンガポールには、機械学習による AI モデルの開発を許可する明示的な規定があります。カナダ、インド、米国などの他の国々でも、フェアユース/フェアディーリング規定によってこのようなトレーニングが許可されています。GitHub Copilot の AI モデルは、GitHub のパブリック リポジトリからのコードを使用してトレーニングされています。このリポジトリは一般アクセスが可能であり、許容される著作権利用の範囲内に当てはまります。 提案内の著作権リスクはどうでしょうか。ごくまれに (GitHub の調査によると 1% 未満)、GitHub の AI モデルのトレーニングに使用されたコードの例に、GitHub からの提案が一致する場合があります。繰り返しになりますが、GitHub Copilot はコードを「検索」したり「コピーして貼り付け」たりするのではなく、ユーザーのワークスペースのコンテキストを使って提案を合成して生成します。 GitHub の経験に基づくと、一致する提案が発生する可能性は、(1) コードエディタ内に GitHub Copilot のモデルが提案を合成するためのコンテキストがほとんどない、もしくは全くない、または (2) 一致する提案が一般的なアプローチやメソッドを表しているという 2 つの状況で高くなります。コードの提案が既存のコードと一致する場合、その提案を使用すると著作権侵害の申し立てが引き起こされるリスクがあります。これは、使用されるコードの量や性質、およびコードが使用される状況によって異なります。多くの点で、このリスクは、オンライン ソースからコードをコピーする、またはライブラリからコードを再利用するなど、開発者が考案しなかったコードを使用するときに発生するものと同じリスクです。責任ある組織と開発者が、一致するコードの可能性を特定して評価するためのコード スキャンの導入をユーザーに推奨するのはこのためです。 GitHub Copilot では、GitHub Copilot が GitHub.com で公開されているコードに一致するコード補完を提案できるようにするかどうかを選択できます。詳細については、「" GitHub Copilot の設定を GitHub.com で構成する "」を参照してください。パブリック コードに一致する提案を許可した場合、GitHub Copilot はそのような提案が受け入れられたときに、一致するコードに関する詳細情報を提供できます。一致するコードは必ずしも著作権侵害を意味するわけではないため、提案を使用するかどうか、適切な状況で著作権の帰属先を (その他のライセンス コンプライアンスとともに) 表示するかどうかは最終的にユーザーが判断することになります。 GitHub Copilot には、リスクを軽減するためのフィルタリング メカニズムがありますか? はい。GitHub Copilot には、GitHub のパブリック コードに一致する特定の提案を検出して抑制するための、オプションのコード参照機能が備わっています。 GitHub では、GitHub 上のパブリック コードに一致する (一定の長さを超えるコード セグメントを含む) 提案コードを検出して提供を防ぐための重複検出フィルター機能が利用できるようになりました。企業の管理者は、この機能を有効にすることができ、企業内のすべての組織に適用することも、制御を各組織に委ねることもできます。 フィルターを有効にすると、GitHub Copilot は、65 語彙素以上 (平均 150 文字) の GitHub 上の公開コードと一致またはほぼ一致する提案コードをチェックします。一致する場合、その提案はユーザーに表示されません。 GitHub Copilot は、テーマから外れた内容、有害で不適切な内容のフィルター処理に加えて、脆弱なコードの出力もスキャンします。 GitHub Copilot には、一致する提案に関連する可能性があるオープン ソース ライセンスをユーザーが簡単に特定できるようにする機能がありますか? はい。GitHub Copilot は、ユーザーが関連する可能性のあるオープン ソース ライセンスを検索、確認できる追加のツールとして、 コード参照機能 のプレビューを実施しています。コード参照は現在、Visual Studio Code でご利用いただけます。この機能は、パブリック GitHub リポジトリ全体で、GitHub Copilot の提案に一致するコードを検索します。一致するコードがあった場合、ユーザーは GitHub Copilot コンソール ログでコードの情報を確認できます。この情報には、一致が発生した箇所、適用されるライセンス、詳細を把握するためのディープ リンクが含まれます。ユーザーはこのディープ リンクを通じて GitHub.com のナビゲート可能なページにアクセスし、コード一致の例とそのリポジトリ ライセンスを参照して、そのコードが公開されているリポジトリ (ライセンスがないものを含む) の数と、これらのリポジトリへのリンクを確認します。GitHub Copilot ユーザーはこの情報をレビューして、該当する提案が使用に適しているか、およびそれらの使用に追加の措置が必要かどうかを判断することができます。 GitHub Copilot が提供する提案の所有者は誰ですか? 提案が所有可能かどうかを GitHub が判断することはありませんが、GitHub が提案の所有権を主張しないことは確かです。AI モデルが生成した提案を所有できるかどうかは、さまざまな要因に左右されます (関連する国の知的財産法、提案の長さ、提案が表現的なものではなく「機能的」なものであると見なされる範囲など)。 提案が所有可能である場合でも、GitHub のチームは GitHub が所有権を主張しないことを明白にしています。 GitHub は、どの提案の所有権も主張しません。場合によっては、Copilot が異なるユーザーに類似する提案を生成することがあります。例えば、関係のない 2 人のユーザーの両方が、Java でクイックソート アルゴリズムのコードを作成するために新しいファイルを開始する場合は、同一の提案を得る可能性が高くなります。複数のユーザーに類似する提案を提供する可能性は、生成AIシステムで一般的に見られるものです。 GitHub Copilot は提案に非セキュア コードを含めますか? パブリック コードには、非セキュアなコーディング パターン、バグ、古くなった API やイディオムへの参照が含まれる場合があります。GitHub Copilot がこのデータに基づいてコード提案を合成する際、こうした望ましくないパターンが含まれるコードを合成する可能性もあります。GitHub Copilot には、GitHub Copilot の提案において検出された非セキュアなコード パターンをブロックする、またはユーザーに通知するフィルターが実装されています。これらのフィルターは、 ハードコードされた認証情報 、 SQL インジェクション 、 パス インジェクション など、最も一般的な脆弱性を含むコードを対象としています。さらに、GitHub ではここ数年間、GitHub Advanced Security、GitHub Actions、Dependabot、CodeQL などのツールをオープン ソース プロジェクトに提供し、コード品質の向上を支援しています。GitHub Copilot は常に、優れたテスト プラクティス、コード レビュー プラクティス、セキュリティ ツールはもちろん、ユーザー自身の判断も用いて使用する必要があります。 GitHub Copilot は、コード生成を完全に自動化して、開発者に取って代わることを意図するものですか? いいえ。Copilot は開発者の効率性を向上させるためのツールです。開発者に取って代わることを意図するものではないため、開発者は引き続き、出所不明のサードパーティ コードに適用するものと同じタイプのセーフガードと配慮を用いる必要があります。 製品の名称は「Autopilot (オートパイロット)」ではなく「Copilot (コパイロット)」であり、何の監視もなくコードを生成するためのものではありません。Copilot の提案には、サードパーティ コードに使用するものと全く同じタイプのセーフガードと配慮を用いる必要があります。 サードパーティ コードの使用に対するベストプラクティスを特定することは、このセクションの対象範囲外です。とは言うものの、組織で現在使用されているプラクティス (厳密な機能テスト、コード スキャン、セキュリティ テストなど) があれば、Copilot の提案にもこれらのポリシーを引き続き使用する必要があります。さらに、コードエディタやエディタが自動的にコードをコンパイルしたり、生成されたコードをレビューする前に実行したりすることがないようにする必要もあります。 GitHub Copilot ユーザーは、何も心配することなく提案をそのまま使用できますか? 必ずしもそうとは言えません。GitHub Copilot ユーザーは、それぞれのリスク許容度に合わせて Copilot を使用する必要があります。 上述の通り、GitHub Copilot は開発者、または開発者個人のスキルや判断力の代わるものではなく、コード開発のプロセスを完全に自動化することを意図するものでもありません。サードパーティ コードの使用に当てはまるものと同じリスクが、Copilot の提案の使用にも当てはまります。 特定のユースケースに応じて、上記で説明されている保護対策の実装を検討する必要があります。状況に何が適切かを評価し、適切なセーフガードを実装することはユーザーの責任です。 Copilot のフィルタリングが有効化されている場合の無修正の提案については、GitHub の知財免責の対象になります。この機能の有効化を選択する場合、著作権の法的責任は、お客様の責任ではなく、GitHub の責任になります。責任ある AI に対する継続的なコミットメントの一環として、GitHub と Microsoft は、GitHub Copilot を使用してチームを強化するお客様に知財免責と保護サポートを提供しています。詳細については、「 マイクロソフトの GitHub Copilot Copyright Commitment 」を参照してください。 GitHub Copilot はアクセシビリティ機能をサポートしていますか? GitHub では、体の不自由な開発者による GitHub Copilot の使いやすさについて内部テストを実施しており、あらゆる開発者が GitHub Copilot を確実に利用できるよう取り組んでいます。GitHub Copilot のアクセシビリティに関するご意見につきましては フィードバック フォーラム からご遠慮なくお寄せください。 GitHub Copilot は攻撃的な出力を生成しますか? GitHub Copilot には、プロンプト内の攻撃的な言葉をブロックし、配慮が必要なコンテキストの提案を合成しないようにするフィルターが含まれています。GitHub では、攻撃的な出力をよりインテリジェントに検出して削除するため、フィルター システムの継続的な改善に取り組んでいます。攻撃的な出力に気付いた場合は直接 copilot-safety@github.com に報告し、セーフガードを改善できるようご協力ください。GitHub はこの課題を非常に深刻に受け止めており、その対応に全力で取り組んでいます。 GitHub Copilot は英語以外の言語でも同様に機能しますか? パブリック ソースの大部分が英語であるため、開発者が提供する自然言語プロンプトが英語以外である場合、あるいは文法にエラーがある場合、GitHub Copilot が十分に機能しない可能性があります。したがって、英語以外の話者ではサービス品質が低下する場合があります。 GitHub Copilot はどのデータでトレーニングされていますか? GitHub Copilot は、GitHub、OpenAI、Microsoft が開発した生成 AI モデルを利用しています。これは、自然言語テキストと、GitHub のパブリック リポジトリ内のコードを含めた一般提供されているソースからのソース コードでトレーニングされています。 2023 年 6 月のデータ。その他の調査は こちら でご覧いただけます。 GitHub Copilot Pro および Business プランの公開ベータ版の機能です。リポジトリ、GitHub Issues、GitHub Discussions、GitHub Actions、および GitHub のその他機能の使用が必要です。 SAML シングル サインオン (SSO) での認証は、GitHub Enterprise Cloud を使用する組織でご利用いただけます。 全般 プランと価格 プライバシー 責任ある AI 全般 GitHub Copilot とは何ですか? GitHub Copilot はデベロッパーエクスペリエンスを変革します。AI のリーダーたちがバックアップする GitHub Copilot は、統合開発環境でのコード補完とチャット アシスタンスから、コードの説明、GitHub のドキュメントに対する回答などに至るまで、ソフトウェア開発ライフサイクル全体を通してコンテキストに即したアシスタンスを提供します。GitHub Copilot によってワークフローを強化できるため、開発者は価値、イノベーション、幸せに集中できるようになります。 GitHub Copilot により、開発者は定型的なボイラープレート コードにかける手間を減らし、問題解決とコラボレーションにいっそうのエネルギーを注ぐことができます。だからこそ、GitHub Copilot を使用する開発者の仕事に対する満足度は使用しない開発者よりも最大 75% 高く、コード記述の面でも、品質を犠牲にすることなく生産性が最大 55% 向上したことが報告されているのです。そのすべてが相まって、優れたソフトウェアをより迅速にリリースする熱心な開発者が生まれているのです。 GitHub Copilot は、Visual Studio Code、Visual Studio、JetBrains IDEs、Neovim などの主要なエディターと統合されており、他の AI コーディング アシスタントとは異なり、GitHub にネイティブに組み込まれています。何百万人もの個人ユーザー、何万ものビジネス カスタマーに活用されるほどの成長を続ける GitHub Copilot は、世界で最も幅広く導入されている AI 開発者用ツールであり、開発者が名指しで要求する競争優位性を備えています。 誰が GitHub Copilot に無料でアクセスできますか? GitHub Copilot Free は新しい無料の価格ティアであり、個人開発者向けの限定的な機能を備えています。GitHub Copilot Business シートまたは GitHub Copilot Enterprise シートが割り当てられているユーザーは GitHub Copilot Free にアクセスできません。有料プラン、トライアル、または検証された既存�� | 2026-01-13T08:48:16 |
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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 New Year, New You Portfolio Challenge Presented by Google AI Contest Rules Contest Announcement New Year, New You Portfolio Challenge Presented by Google AI Sponsored by Dev Community Inc.(" Sponsor ") NO ENTRY FEE. NO PURCHASE NECESSARY TO ENTER OR WIN. VOID WHERE PROHIBITED. We urge you to carefully read the terms and conditions of this Contest Landing Page located here and the DEV Community Inc. General Contest Official Rules located here ("Official Rules"), incorporated herein by reference. The following contest specific details on this Contest Announcement Page, together with the Official Rules , govern your participation in the named contest defined below (the "Contest"). Sponsor does not claim ownership rights in your Entry. The Official Rules describe the rights you give to Sponsor by submitting an Entry to participate in the named Contest. In the event of a conflict between the terms of this Contest Announcement Page and the Official Rules, the Official Rules will govern and control. Contest Name : New Year, New You Portfolio Challenge Presented by Google AI Entry Period : The Contest begins on December 31, 2024 at 9:00 AM PST and ends on February 1, 2026 at 11:59 PM PST (the " Entry Period ") How to Enter : All entries must be submitted no later than the end of the Entry Period. You may enter the Contest during the Entry Period as follows: Visit the Contest webpage part of the DEV Community Site located here (the " Contest Page "); and Follow any instructions on the Contest Page and submit your completed entry (each an " Entry "). There is no limit on the number of Entries you may submit during the Entry Period. Required Elements for Entries : Without limiting any terms of the Official Rules, each Entry must include, at a minimum, the following elements: A published submission post on DEV that provides an overview of the portfolio using the submission template provided on the Contest Page. A live, functional portfolio deployed to Google Cloud Run and embedded in the submission post using the Cloud Run embed feature with the dev label. Judging Criteria : All qualified entries will be judged by a panel as selected by Sponsor as set forth in the Official Rules. Judges will award winners based on the following criteria: Innovation and Creativity Technical Implementation User Experience In the event of a tie in scoring between judges, the judges will select the entry that received the highest number of positive reactions on their DEV post to determine the winner. Prize(s) : The prizes to be awarded from the Contest are as follows: Winners (3) will each receive: $1,000 USD Gift Card or Equivalent Exclusive DEV Badge A completion badge on their DEV profile Runner-Ups (5) will receive: Personalized feedback on their portfolio from the Google AI team Exclusive DEV Badge A runner-up badge on their DEV profile All Participants (who submit a valid and qualified entry) will receive: A completion badge on their DEV profile Additional Eligibility Restrictions : This specific challenge includes the following restrictions in addition to those outlined in the Official Rules: Territories and regions excluded: Afghanistan, Belarus, Central African Republic, Cuba, Equatorial Guinea, Iran, Iraq, Kosovo, Libya, Myanmar (Burma), North Korea, Russia, South Sudan, Sudan, Syria, Tanzania, Venezuela, Yemen, Crimea, the so-called Donetsk People's Republic (DNR), the so-called Luhansk People's Republic (LNR). Additional participant exclusions for this challenge: Government institution employees, Google employees 💎 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 | 2026-01-13T08:48:16 |
http://apihandyman.io/posts | API Handyman | Posts API Handyman Blog All content Posts Talks & Podcasts Blog Posts Talks & Podcasts Toolbox About Hi! I'm Arnaud Lauret, the API Handyman and author of The Design of Web APIs. You'll find here all my posts. You can also read my book How to check the presence of an element with Spectral By Arnaud Lauret, November 23, 2022 When linting an OpenAPI document (or any other JSON or YAML document with Spectral), the hardest part is ensuring you’re not missing your target and so be sure that expected checks will be done. In this post, we’ll see how to be sure a Spectral rule will be triggered when checking the presence of an element. The contributions and limitations of API contract linting in API governance By Arnaud Lauret, November 15, 2022 As API governance often rhymes with “policy enforcement,” API contract linting can be seen as the panacea of API governance: it can be used to ensure API contracts conform to pre-defined rules. But both API linting and API governance are more than that. Let’s discover the contributions and limitations of API contract linting in API governance. Prefixing or not prefixing property names? By Arnaud Lauret, November 8, 2022 Adding a prefix to a name should be carefully weighed because it impacts the overall design of an API, some code, or a specification and its usability for humans and machines. The discussion related to apiResponses , pathResponses , and responses properties in the early design of OpenAPI v4 is a perfect example of that concern. The 4 values of API governance By Arnaud Lauret, October 25, 2022 API governance means policies, institutions, processes, and indicators. But without the alignment, enablement, collaboration, and guidance values in mind, API governance can quickly become a senseless, kafkaesque, and counter-productive API dictatorship, which will slowly but surely kill the organization, or its APIs at the least. The 4 components of API governance By Arnaud Lauret, October 18, 2022 After formally defining API governance relative to IT governance, corporate governance, and governance, let’s dive deeper and describe the four components of API governance: policies, institutions, processes, and indicators. Attempting to define API governance By Arnaud Lauret, September 8, 2022 In the collective unconscious, API governance often rhymes with API police. Reducing API governance to the need for order caused by the chaos of an organization’s myriad APIs is too reductive, and it risks not looking at the problem at hand from the right angle. Why not define API governance relatively to IT governance, corporate governance, and governance to better understand what it is? OpenAPI Specification Reference Series - Part 2 What is the info property in OpenAPI? By Arnaud Lauret, July 21, 2022 The info property of an OpenAPI document contains metadata that provides an overview of an API, but what does it represent exactly? How did it evolve across the OpenAPI Specification versions? And how to can it be used and misused? This is the second post in the OpenAPI Specification Reference series. OpenAPI Specification Reference Series - Part 1 What is the openapi property? By Arnaud Lauret, July 6, 2022 No OpenAPI document without the openapi property, but what does it represent? How did it evolve across the OpenAPI Specification versions? And how to take advantage of it? This is the first post in the OpenAPI Specification Reference series. Lint APIs with Spectral By Arnaud Lauret, June 15, 2022 Are you struggling to design consistent APIs? On the verge of losing sanity while checking every single property of every schema is camelCased? Never remembering the parameters to use for pagination? Spectral is the tool you need: it will lint JSON Schema, AsyncAPI, and OpenAPI documents and do those checks for you. The 15 rules of the OpenAPI-based tools club By Arnaud Lauret, June 1, 2022 The OpenAPI Specification can facilitate everyone’s life and participate in the creation of better APIs and a better API ecosystem. But it will work only if the members of the OpenAPI-based tools club follow the rules. 1 12 Privacy Policy & Settings © 2015-2024 Arnaud Lauret By continuing to use this web site you agree with the API Handyman website privacy policy (effective date , June 28, 2020). Read privacy policy Happy with that Read privacy policy Happy with that | 2026-01-13T08:48:16 |
https://stackoverflow.blog/releases/ | Latest product releases - 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. Releases See what we’ve been shipping across all our products. Also follow us on X and LinkedIn to stay updated. Explore our products Latest What’s new at Stack Overflow: January 2026 For this first edition of the new year, we’re taking a step back to highlight some of the most impactful features shipped over the last year and how they can help you start 2026 strong. December 16, 2025 Your 2025 Stacked: A year of knowledge, community, and impact From tough questions to standout answers, your team built a lot in 2025. Your 2025 Stacked brings those contributions together in one shareable snapshot—celebrating the people, posts, and topics that defined your year in Stack Internal. 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! Stack Overflow Internal Where developers & technologists share private knowledge with coworkers. December 16, 2025 Your 2025 Stacked: A year of knowledge, community, and impact From tough questions to standout answers, your team built a lot in 2025. Your 2025 Stacked brings those contributions together in one shareable snapshot—celebrating the people, posts, and topics that defined your year in Stack Internal. November 12, 2025 2025.8 release introduces Stack Overflow Internal: The next generation of enterprise knowledge intelligence Today, we’re excited to introduce Stack Overflow Internal—the next evolution of our enterprise platform and the future of Stack Overflow for Teams. September 30, 2025 Turning investments into impact: Stack Overflow for Teams 2025.7 Over the past few releases, we’ve been investing in the foundation of Stack Overflow for Teams—strengthening infrastructure, modernizing integrations, and preparing for bigger shifts to come. 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. July 8, 2025 Better performance, smarter workflows: What’s new in Stack Overflow for Teams Our July 2025 release focuses on stability, integration, and actionable insight—designed to help your teams stay informed, secure, and efficient as they scale. June 18, 2025 Smarter teams, brighter insights: Stack Overflow for Teams Business summer bundle Read on to see the latest features coming to Stack Overflow for Teams Business users! Show more Stack Overflow Where developers and technologists go to gain and share knowledge. January 5, 2026 What’s new at Stack Overflow: January 2026 For this first edition of the new year, we’re taking a step back to highlight some of the most impactful features shipped over the last year and how they can help you start 2026 strong. 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! November 3, 2025 What’s new at Stack Overflow: November 2025 From a new kind of vote to a preview of the upcoming redesign, check out what’s been happening at Stack Overflow over the past month. October 8, 2025 A new look for comments Learn about what’s new with comments on Stack Overflow. June 4, 2024 Introducing Staging Ground: The private space to get feedback on questions before they’re posted Learn about the workflow designed to help new askers improve their questions on Stack Overflow. February 8, 2024 Discussions now taking place across all tags on Stack Overflow Expanding the experiment to create the space for developers to have meaningful conversations about their favorite technologies. 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 | 2026-01-13T08:48:16 |
https://dev.to/new?prefill=---%0Atitle%3A%20%0Apublished%3A%20%0Atags%3A%20devchallenge%2C%20auth0challenge%2C%20ai%2C%20authentication%0A---%0A%0A*This%20is%20a%20submission%20for%20the%20%5BAuth0%20for%20AI%20Agents%20Challenge%5D(https%3A%2F%2Fdev.to%2Fchallenges%2Fauth0-2025-10-08)*%0A%0A%23%23%20What%20I%20Built%0A%3C!--%20Provide%20an%20overview%20of%20your%20AI%20agent%20application%20and%20what%20problem%20it%20solves.%20--%3E%0A%0A%23%23%20Demo%0A%3C!--%20Share%20a%20link%20to%20your%20project%20repository%20and%20include%20screenshots%20or%20videos%20showing%20your%20solution%20in%20action.%20--%3E%0A%0A%23%23%20How%20I%20Used%20Auth0%20for%20AI%20Agents%0A%3C!--%20Explain%20how%20you%20leveraged%20Auth0%20for%20AI%20Agents%20to%20secure%20your%20application%20and%20enable%20agent%20authentication.%20--%3E%0A%0A%23%23%20Lessons%20Learned%20and%20Takeaways%0A%3C!--%20Share%20your%20overall%20experience%20building%20this%20project.%20What%20challenges%20did%20you%20face%3F%20What%20did%20you%20learn%20about%20AI%20agents%2C%20authentication%2C%20or%20development%20in%20general%3F%20Any%20key%20insights%20or%20advice%20for%20other%20developers%3F%20--%3E%0A%0A%3C!--%20Don%27t%20forget%20to%20add%20a%20cover%20image%20(if%20you%20want).%20--%3E%0A%0A%3C!--%20Team%20Submissions%3A%20Please%20pick%20one%20member%20to%20publish%20the%20submission%20and%20credit%20teammates%20by%20listing%20their%20DEV%20usernames%20directly%20in%20the%20body%20of%20the%20post.%20--%3E%0A%0A%3C!--%20Thanks%20for%20participating!%20--%3E | New Post - 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 Join the DEV Community DEV Community is a community of 3,676,891 amazing developers Continue with Apple Continue with Facebook Continue with Forem Continue with GitHub Continue with Google Continue with Twitter (X) OR Email Password Remember me Forgot password? By signing in, you are agreeing to our privacy policy , terms of use and code of conduct . New to DEV Community? Create account . 💎 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 | 2026-01-13T08:48:16 |
https://stackoverflow.co/api-solutions/?utm_medium=referral&utm_source=survey&utm_campaign=dev-survey-2025&utm_content=data-dropdown | Stack Overflow Data Licensing - 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 Download sample data The API Awards Best AI API 2024 & 2025 How the learning models learn Human-validated. Fairly attributed. Train and fine-tune your AI on one of the internet’s biggest troves of answers, solutions and top-class technical expertise. Download sample datasets The world’s leading AI companies are building with us Partner with us Decades of verified knowledge and data — all in one place 17 years+ of top-class, technical developer expertise 83M+ questions and answers (and counting) 69,000+ unique topics, curated and moderated to filter out bad data 21 sec. on average, between each new question posted How our datasets can help you (and your AI) Tap into accurate, trustworthy knowledge Our steady stream of verified data means your models are more accurate, more trustworthy, and never stop improving. Deepen reasoning and understanding Our data captures the step-by-step thinking of experts solving problems. This intelligence doesn't exist anywhere else — and it can teach your AI to reason and understand. Get to market quicker Our human-validated knowledge means bias, duplicates and inaccuracies are already filtered out — so you can spend less time tinkering and more time shipping. License with confidence More accurate models — trained on licensed, properly attributed content — means peace of mind for you, and confidence for your customers. Whatever you’re building, we can help Large language models Small language models AI agents AI chatbots AI copilots RAG The verdict is in: models outperform with our data Retrieval Augmented Generation (RAG) Source: CodeRAG-Bench: Can Retrieval Augment Code Generation? Percent of “Perfect” answers Source: Internal testing based on a proprietary eval set of 1,000 Q&A with ground truth answers. The Stack API Get real-time API access to the Stack Overflow public dataset Our API gives you real-time access to millions of expert-vetted questions, answers, comments, and more. Tap into this step-by-step thinking to deepen your AI's context awareness and reasoning power. Read API documentation Want to test it out? Try a sample dataset of 1,000 Q&A pairs Unlock datasets Problem-solving Put your AI’s logic and reasoning to the test with knowledge pulled from across a host of our public platforms. Coding Want to see how good your AI is when it comes to parsing and fixing code? This dataset’s for you. Cloud-technology Test how well your AI understands cloud concepts with a dataset full of cloud-related questions, answers and solutions. Frequently Asked Questions FAQs for you (and the AIs scraping this page). Expand all What is Stack Data Licensing? Stack Data Licensing provides AI companies continuous access to Stack Overflow’s authoritative dataset and top-class technical expertise for training and fine-tuning. What type of data is included with a Stack Overflow dataset? The entire Stack Overflow corpus or a tailored subset is available. These datasets can include curated questions-and-answer pairs from one or more of our 150+ Stack Exchange sites along with metadata like tags, comments, votes, and revisions. How is Stack Overflow’s data sourced? Stack Data Licensing provides a vast, ethically sourced stream of data that’s contributed, validated, and refined by our community. To maintain these high-quality contributions, we are constantly investing in new community tools and functionality. This helps ensure AI models and products learn from fresh human-validated knowledge while correctly attributing content. How do you ensure the training data is reliable and high-quality? Stack Overflow employs a rigorous moderation system that acts as a powerful data curation engine. This system ensures the data is meticulously curated by actively filtering out noise, bias, duplicates, and inaccurate content. Our community moderators review millions of flags every year, resulting in an unmatched diversity of over 83+ million human-verified questions and answers curated across more than 69,000 topics over 17+ years. How can I access Stack Overflow data? Customers can gain real-time access to Stack Overflow data via the Stack Exchange API . Curated data samples are also accessible through a web form on this page and popular data marketplaces, such as Snowflake and Databricks Marketplace. How can I use Stack Overflow data? In general, companies use question-and-answer data like Stack Overflow’s to train and fine-tune both LLMs and SLMs; improve the accuracy of RAG search; deepen agentic reasoning capabilities; boost the reliability of AI chatbots and copilots, and enrich knowledge graphs and search. Our knowledge, shared Visit the blog Visit resource center December 15, 2025 At AWS re:Invent, the news was agents, but the focus was developers Four days, 60,000 developers, and AI-generated perfume. The re:Invent that was. Read article December 11, 2025 Simulating lousy conversations: Q&A with Silvio Savarese, Chief Scientist & Head of AI Research at Salesforce AI yells at voice agents so you don't have to. Read article 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. Read article Stay updated Subscribe to receive Stack Overflow Business content around knowledge sharing, collaboration, and AI. 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https://dev.to/page/auth0-2025-10-08-contest-rules | Auth0 for AI Agents Challenge Contest Rules - 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 Auth0 for AI Agents Challenge Contest Rules Contest Announcement Auth0 for AI Agents Challenge Sponsored by Dev Community Inc.(" Sponsor ") NO ENTRY FEE. NO PURCHASE NECESSARY TO ENTER OR WIN. VOID WHERE PROHIBITED. We urge you to carefully read the terms and conditions of this Contest Landing Page located here and the DEV Community Inc. General Contest Official Rules located here ("Official Rules"), incorporated herein by reference. The following contest specific details on this Contest Announcement Page, together with the Official Rules , govern your participation in the named contest defined below (the "Contest"). Sponsor does not claim ownership rights in your Entry. The Official Rules describe the rights you give to Sponsor by submitting an Entry to participate in the named Contest. In the event of a conflict between the terms of this Contest Announcement Page and the Official Rules, the Official Rules will govern and control. Contest Name : Auth0 for AI Agents Challenge Entry Period : The Contest begins on October 8, 2025 at 9:00 AM PDT and ends on October 26, 2025 at 11:59 PM PDT (the " Entry Period ") How to Enter : All entries must be submitted no later than the end of the Entry Period. You may enter the Contest during the Entry Period as follows: Visit the Contest webpage part of the DEV Community Site located here (the " Contest Page "); and Follow any instructions on the Contest Page and submit your completed entry (each an " Entry "). There is no limit on the number of Entries you may submit during the Entry Period. Required Elements for Entries : Without limiting any terms of the Official Rules, each Entry must include, at a minimum, the following elements: A published submission post on DEV that provides an overview of the AI agent application using the submission template provided on the Contest Page. Judging Criteria : All qualified entries will be judged by a panel as selected by Sponsor as set forth in the Official Rules. Judges will award three winners based on the following criteria: Use of underlying technology Usability and User Experience Project Use Case Creativity In the event of a tie in scoring between judges, the judges will select the entry that received the highest number of positive reactions on their DEV post to determine the winner. In the event that a participant may win multiple awards, and the submissions are a tie, we will favor the participant that has not already won. Prize(s) : The prizes to be awarded from the Contest are as follows: Winners (3) will each receive: $1,000 USD Gift Card or Equivalent Exclusive DEV Badge DEV++ Membership Participants (who submit a valid and qualified entry) will receive: A completion badge on their DEV profile 💎 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. 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https://dev.to/codewithtee/server-side-rendering-ssr-vs-client-side-rendering-csr-3m24#comment-1jcmg | Server-Side Rendering (SSR) Vs Client-Side Rendering (CSR) - 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 Tabassum Khanum Posted on Nov 1, 2021 Server-Side Rendering (SSR) Vs Client-Side Rendering (CSR) # beginners # webdev # javascript # codenewbie Hey Coders! We all can agree that new-age Javascript has changed modern websites structure and the user experience drastically. Websites these days are built more like an application pretending to be a website capable of sending emails, notifications, chat, shop, payments, etc. Today's websites are so advanced, interactive, but earlier, the websites and web applications had a common strategy to follow. They prepared HTML content to be sent to the browsers at the server-side; this content was then rendered as HTML with CSS styling in the browser. Traditionally, the browser receives HTML from the server and renders it. When the user navigates to another URL, a full-page refresh is required and the server sends fresh new HTML for the new page. This is called server-side rendering. Fast forward to today. When websites have 1000s of lines of code to render and with much more complex structures. Today, websites are more than just static pages. The downfall of SSR came when the websites were not all about allowing the user to perform actions and receive a response for their action. That is why developers shifted the ever-growing method of rendering web pages on the client-side. But, here are the questions- Is SSR still relevant? If yes, where to use it. the best approach for you? Server-Side Rendering In SSR, when the user makes a request to the webpage, the server prepares the HTML page by fetching the required data from the database and sends to the user's machine over the internet. Then the browser presents all the requested actions on the user UI. All these processes of fetching data from the database to creating an HTML page and sending it to the client are done in mere milliseconds. This method is viable if all your website need is to display images/ texts, links to click, and is more on the static side. In server-side rendered pages, it is common to use snippets of jQuery to add user interactivity to each page. However, when building large apps, just jQuery is insufficient. After all, jQuery is primarily a library for DOM manipulation and it's not a framework; it does not define a clear structure and organization for your app. Client-Side Rendering Developers are approaching CSR as modern-day development is mostly about JS libraries and frameworks. The popularity of modern-age JS shifted all the attention to CSR. Client-side rendering means that a website’s JavaScript is rendered in your browser, rather than on the website’s server. So now, instead of getting all the content from the HTML doc, only the required HTML with the JS files will be rendered. The rendering time for the first upload is a bit slow. However, the next page loads will be very fast as we don't have to wait for every page render. Moreover, there is no need to reload the entire UI after every call to the server. The client-side framework manages to update UI with changed data by re-rendering only that particular DOM element. Also, a clear client-server separation scales better for larger engineering teams, as the client and server code can be developed and released independently. This is especially so at Grab when we have multiple client apps hitting the same API server. For more clear view let's see some benefits and downside of both rendering methods- Benefits of SSR - The initial page of the website load is faster as there are fewer codes to render. Good for minimal and static sites. Search engines can crawl the site for better SEO. Downsides of SSR - the site interactions are less. Slow page rendering. Full UI reloads. Frequent server requests. Benefits of CSR - The app feels more responsive and users do not see the flash between page navigations due to full-page refreshes. Fewer HTTP requests are made to the server, as the same assets do not have to be downloaded again for each page load. Clear separation of the concerns between the client and the server; you can easily build new clients for different platforms (e.g. mobile, chatbots, smartwatches) without having to modify the server code. You can also modify the technology stack on the client and server independently, as long as the API contract is not broken. Downsides of CSR - Heavier initial page load due to loading of the framework, app code, and assets required for multiple pages. There's an additional step to be done on your server which is to configure it to route all requests to a single entry point and allow client-side routing to take over from there. In most cases, requires an external library. All search engines execute JavaScript during crawling, and they may see empty content on your page. This inadvertently hurts the Search Engine Optimization (SEO) of your app. However, most of the time, when you are building apps, SEO is not the most important factor, as not all the content needs to be indexable by search engines. To overcome this, you can either server-side render your app or use services such as Prerender to "render your javascript in a browser, save the static HTML, and return that to the crawlers". When to use server-side rendering An application has a very simple UI with fewer pages/features An application has less dynamic data Read preference of the site is more than write The focus is not on rich sites and has few users When to use client-side rendering An application has a very complex UI with many pages/features An application has large and dynamic data Write preference of the site is more than reading The focus is on rich sites and a huge number of users The rendering method totally depends on the requirements and the UX plan of the client. The final call is yours whether to use SSR or CSR. I hope this article helped you to understand the basic concepts of rendering practice. Thank You for reading till the end! Top comments (8) Subscribe Personal Trusted User Create template Templates let you quickly answer FAQs or store snippets for re-use. Submit Preview Dismiss Collapse Expand neoan neoan neoan Follow Passionate generalist conquering the web one project at a time. Whether authoring libraries for node, JS, PHP, or Rust, I am always on the lookout for better solutions to common problems. Location USA Work Lead Developer & Co-founder at corpscrypt, CTO at REtech Joined Oct 1, 2019 • Nov 2 '21 Dropdown menu Copy link Hide So much to be said here in order to clear up potential misunderstandings for beginners: When deciding which technique to use, the amount of pages is not relevant. If at all, it's the other way around: the more routes your app has, the more likely SSR it the better choice. But let's look at the real why: how important is SEO? If you have an online shop or blog, the answer is probably "very important", as you depend on organic hits. If your app is about user-2-user communication (chats, private communities, etc) then the answer is probably "not so much, as the relevant content is individual. That said, most online shops even with thousands of products usually go for SSR. About history: there wasn't ever a "downfall" of SSR. SPAs simply created a new possibility and this possibly often makes more sense, and often it doesn't. Deciding when to use a fork and when to use a spoon doesn't say anything about whether or not a spoon is better than a fork. In the same way, there isn't any relationship between jQuery and SSR. This must be very confusing to read for the beginner. What OP likely meant was that we didn't have much else historically. But ask yourself why routers are always separate packages in JS frameworks. It's because it's perfectly fine to use Vue or React with SSR. Lastly, we should not forget about the impact technologies like PWA bring to this decision. Fetching and caching sites completely changes pros and cons and considerations to take. There is a huge need for SSR which can be seen when looking at technologies like next, nuxt and co. The truth is that devs tend to prefer CSR for various reasons and therefore are inclined to use it even if it's not the best choice for the task at hand. Like comment: Like comment: 17 likes Like Comment button Reply Collapse Expand Kavya Mekala Kavya Mekala Kavya Mekala Follow Joined Sep 17, 2022 • Sep 17 '22 Dropdown menu Copy link Hide can we use react for server side rendering? Like comment: Like comment: 1 like Like Comment button Reply Collapse Expand Joes Joes Joes Follow Joined Aug 18, 2024 • Sep 13 '24 • Edited on Sep 13 • Edited Dropdown menu Copy link Hide Yes you can use React for server-side rendering .. React is typically used for client-side rendering, but it has built-in capabilities for ssr through libraries like next js or ReactDomServe Like comment: Like comment: 1 like Like Comment button Reply Collapse Expand Safin Ghoghabori Safin Ghoghabori Safin Ghoghabori Follow Full-stack dev Location India Education MCA Joined Oct 8, 2019 • Sep 22 '22 Dropdown menu Copy link Hide Yes you can. React supports SSR! Like comment: Like comment: 1 like Like Comment button Reply Collapse Expand Safin Ghoghabori Safin Ghoghabori Safin Ghoghabori Follow Full-stack dev Location India Education MCA Joined Oct 8, 2019 • Sep 22 '22 Dropdown menu Copy link Hide Amazing article. Thanks a lot.... @codewithtee Like comment: Like comment: 1 like Like Comment button Reply Collapse Expand Shirene Kadkhodai Boyd Shirene Kadkhodai Boyd Shirene Kadkhodai Boyd Follow Education Thinkful Bootcamp Joined Feb 14, 2022 • Mar 31 '22 Dropdown menu Copy link Hide This was a very informative article and I feel like I better understand the differences! Thank you Like comment: Like comment: 1 like Like Comment button Reply Collapse Expand programmingprobie programmingprobie programmingprobie Follow Scenario 7 Joined Dec 31, 2021 • Jul 24 '22 • Edited on Jul 24 • Edited Dropdown menu Copy link Hide For Server Side rendering have a look at HTMX (htmx.org) (gives you the feel of an SPA) Like comment: Like comment: 2 likes Like Comment button Reply Collapse Expand Ryan Neil Ryan Neil Ryan Neil Follow Location Hilo, HI Education University of California, Berkeley Work Fullstack Software Engineer Joined Nov 10, 2020 • Nov 2 '21 Dropdown menu Copy link Hide Great read! Thanks! Like comment: Like comment: 1 like Like Comment button Reply 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 Tabassum Khanum Follow I write about web development, my coding journey, art, books, and sometimes lame shits💟 Follow to learn Together !💜 Location India Pronouns She/Her Joined Mar 18, 2021 More from Tabassum Khanum Thrashing - One Byte Explainer # devchallenge # cschallenge # computerscience # beginners WebRTC in Just One Byte # frontendchallenge # devchallenge # javascript # beginners Day 5: Apni Canteen-Food Delivery App Using React Native And Sanity # reactn # javascript # react # beginners 💎 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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https://stackoverflow.co/internal/customers/bloomberg/ | How Bloomberg’s engineers built a culture of knowledge sharing - Stack Overflow Business Stack Internal Features Customers Services Security Pricing Login Try free 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 All customer stories Bloomberg How Bloomberg’s engineers built a culture of knowledge sharing Thousands of the company’s engineers, data scientists, designers, and developers have asked and answered questions about how things work inside their organization. This originally appeared on Stack Overflow's Blog . Bloomberg is a company synonymous with finance, technology, and media. It has offices across the globe and more than 8,000 engineers working to support everything from real-time data feeds about moves in the financial markets and the company’s journalists to mobile apps and AI models that can analyze financial data and sentiment. To help its employees collaborate and share knowledge, Bloomberg turns to Stack Internal. Thousands of the company’s engineers, data scientists, designers, and developers have asked and answered questions about how things work inside their organization. The company also encourages employees to form Guilds , communities of interest that focus on a particular topic or technology. “Bloomberg focuses a lot on its engineers and its employees’ learning journey,” says Gulru Ustundag, an engineering manager. “I have seen so much support in my growth and learning.” Mentorship and professional growth can happen through the format of questions and answers, especially at an organization pushing a rapid pace of innovation, where new tools and technologies are regularly being introduced and utilized in the company’s applications and infrastructure. “Stack Overflow is a really critical part of how we learn, how we understand systems at Bloomberg. I literally used it this morning,” said El Wieschaus, Head of Product Development Experience. “I was looking for a particular error that I was getting as I was writing a little piece of code on the side. It becomes really important, especially for the newer people in our teams, as well as people working on new technologies that they may be less familiar with, to get started quickly and to find the answers to questions that they might have, where the answers are really well-thought-out.” Over the years, the ability to find solutions when they are needed has helped speed the onboarding of new employees and the ability of existing engineering teams to work asynchronously across different continents has generated tremendous time savings. “Those kinds of connections ultimately do lead to real productivity gains,” said Wieschaus. “When people feel like they can reach out to another individual, when they feel connected as a community, when they feel comfortable asking questions, it means that we can move faster. It means that we can better serve our clients and build better products. It means we can get feedback faster, and ultimately, really helps our company thrive.” Psychological safety allows Bloomberg employees to support one another and take risks, stretching their abilities in new directions. “Overall, this knowledge base and the ecosystem of Stack Overflow creates a culture of curiosity and openness and gives people comfort to be able to say, ‘I don’t know.’ Which I think is really important in our learning,” says Ustundag. “Community is really important at Bloomberg. When you’re stuck, you may ask a question to the people who are in proximity to you. But a place like Stack Overflow actually widens your reach and you’re able to engage those who you wouldn’t otherwise connect with.” Learn more about how Stack Internal helps the world’s top companies share knowledge and improve developer productivity. Read next Intuit Intuit wanted to help its developers and technologists break down silos between departments and improve communication across global offices. 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. | 2026-01-13T08:48:16 |
https://www.coderabbit.ai/case-studies/langflow-boosts-merge-confidence-by-50-with-coderabbit | Langflow combats open source burnout with AI code reviews Features Enterprise Customers Pricing Blog Resources Docs Trust Center Contact Us FAQ Log In Get a free trial Langflow boosts merge confidence by 50% with CodeRabbit Detects Issues in AI-Generated Code Consistency Across Large, Dynamic Codebases 50% Higher Merge Confidence Automatic Sequence Diagrams Brazil https://www.langflow.org/ Development team size Multiple developers Languages Python, JavaScript/TypeScript Challenge Managing code review quality across a growing open source project with 100,000+ GitHub stars while maintaining founder oversight and enabling team-wide code understanding. Get started today Share For Gabriel Almeida, the technical founder of Langflow, managing code quality is critical, as thousands of developers worldwide rely on his open-source platform to build AI applications. Langflow, a no-code environment for building AI projects without sacrificing programming power, has become one of the most significant AI-focused open source projects ever created, boasting over 100,000 GitHub stars and ranking among the top repositories on GitHub. The team processes over 100 pull requests per week, with Gabriel historically reviewing the majority of PRs himself due to his comprehensive understanding of the codebase. This intensive review process created a bottleneck that limited both his ability to focus on high-value development work and the team’s ability to move quickly. Gabriel discovered CodeRabbit after he found a video about it on YouTube and was immediately intrigued. After experimenting with the tool and demonstrating it to his team, he found that CodeRabbit’s free access for open source projects made it an ideal solution for Langflow’s needs. Challenge: Scaling code reviews across a high-velocity open source project Before CodeRabbit, Langflow’s development process created significant bottlenecks. Gabriel personally reviewed most of the team’s 100+ weekly pull requests, but even his comprehensive oversight faced limitations when managing a project of this scale. The founder bottleneck limited team velocity: As a technical founder who built a backend, Gabriel felt responsible for reviewing virtually every PR. “I did a lot more than just program. And one of the things I did most of the time was managing the repository, managing the community, and so on, Gabriel explained. “I had to review all PRs, essentially.” This created an unsustainable workload where one person became the critical path for all code changes. Limited holistic codebase understanding across team members: While Gabriel understood the entire codebase, other team members often lacked the broader context needed for effective code review. “A lot of people had only worked on certain parts of the project and didn’t have a holistic view,” Gabriel noted. This knowledge gap meant that team members couldn’t confidently review code outside their specific areas of expertise. Previously, trying inadequate AI-assisted review tools: The team had experimented with GitHub Copilot for review but found it to be insufficient for collaborative PRs. “Copilot… only reviewed code. It was not what we were looking for because I can just ask ChatGPT to review the code, “ Gabriel shared. In contrast, CodeRabbit enables PR conversations, sequence diagrams, and commit-ready suggestions, making it easier for teammates who don’t know the whole codebase to participate effectively. 50% increase in merge confidence 100,000+ GitHub stars 100+ PRs/week Why Langflow loves CodeRabbit Superior error detection beyond other AI tools One key reason Langflow loves CodeRabbit is its ability to identify issues that other AI tools miss. Even in a codebase where much of the code is AI-generated, CodeRabbit consistently finds problems that escape human detection. “I love how deeply it analyzes code, it spots potential errors more often than other tools,” Gabriel said, “We use AI a lot; much of the code is AI-written, yet it still misses issues that CodeRabbit catches," Gabriel shared. Check out Langflow PR Interactive review process with contextual understanding CodeRabbit’s ability to engage in contextual conversations within PRs transformed how the team approaches code reviews. Unlike their previous tools, CodeRabbit allows team members to ask questions and get detailed explanations about code changes. "You can respond in the same thread, and it will take a look at what you're saying in context," Gabriel explained. This interactive capability allows team members to gain deeper insights into PRs, even when they lack comprehensive knowledge of the affected code areas. Comprehensive diagrams & holistic code analysis The sequence diagrams and overall analysis of CodeRabbit help team members understand the broader impact of code changes. “With questions that they can ask quickly in the middle of the PR or the diagrams that it generates. Which are very useful,” Gabriel noted. These visual aids bridge the knowledge gap between team members with different levels of codebase familiarity. Committable suggestions for rapid improvements CodeRabbit’s ability to provide directly committable suggestions significantly speeds up the review process. Gabriel demonstrated this value with an example: “I added a condition that was poorly written and CodeRabbit was able to flag the condition and suggested that I should write it differently.” This proactive identification prevents issues that could remain undetected for extended periods. Check out Langflow PR Results: 50% increase in merge confidence & distributed review responsibility Once CodeRabbit was fully integrated into their workflow, Langflow saw significant improvements across their development process: 50% increase in merge confidence and elevated PR readiness CodeRabbit helps ensure PRs are more thoroughly vetted before human review and increased confidence in merging by 50%. “I think the goal when you’re delivering a PR is to have it as ready as it can be for merging,” Gabriel explained. “With CodeRabbit, the PR is close to being ready before someone does the code review.” This improved readiness reduces back-and-forth cycles and helps developers maintain focus: “It gives developers clear next steps, so they don’t forget where they were,” Gabriel said. This reduces context switching by keeping them focused on the task at hand. Distributed review capability across the team CodeRabbit enables team members to review code outside their immediate areas of expertise effectively. “How can they connect all the dots without knowing everything? And using the diagram and talking to CodeRabbit in the PR gives them insights into what bugs pushing code might cause,“ Gabriel shared. This distribution of review responsibility has tangible benefits: “Because there are more people reviewing PRs quicker, I can spend time doing other work and just not reviewing PRs all the time.” Enhanced the founder's focus By reducing Gabriel's review burden, CodeRabbit enables him to focus on higher-value activities. Since Gabriel is also one of the most valuable developers on the team, that allows him to work on more critical tasks. “This type of task should be distributed across the team so everyone, including me, can make better decisions," he noted. Now, he can focus on strategic development while maintaining oversight through CodeRabbit's analysis. CodeRabbit = Scalable quality for high-velocity open source development Before CodeRabbit • Founder bottleneck reviewing 100+ PRs/week • Bugs slipped through in AI-generated code • Team lacked holistic codebase understanding • Copilot-style tools couldn’t support contextual PR review After CodeRabbit 50% higher merge confidence PRs arrive nearly merge-ready Catches issues in AI-generated code that humans miss Team can review outside their expertise; founder no longer bottleneck For Gabriel and the Langflow team, CodeRabbit isn’t just another development tool; it’s become essential infrastructure for scaling code quality across rapidly growing open source projects. “CodeRabbit significantly raises our team’s knowledge across big projects like Langflow,” Gabriel explained. CodeRabbit stands out for Langflow’s team because of its unique ability to catch issues that other AI tools miss while providing the contextual understanding needed for effective distributed code reviews. This combination ensures that Langflow continues to maintain high code quality standards while enabling the velocity required for a project with over 100,000 GitHub stars. Brazil https://www.langflow.org/ Development team size Multiple developers Languages Python, JavaScript/TypeScript Challenge Managing code review quality across a growing open source project with 100,000+ GitHub stars while maintaining founder oversight and enabling team-wide code understanding. Get started today Want to see how CodeRabbit can help your team? 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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 Adam Weber Posted on Jan 7 Debugging a Filesystem Module: When Reference Counting Goes Wrong # linux # kernel # filesystem As I've been working my way through Linux kernel development,I decided it was time to tackle something that seemed simple on the surface: write a minimal filesystem module. How hard could it be to mount a filesystem that contains a single file you can cat? Turns out, pretty educational. The Goal I wanted to build the smallest possible virtual filesystem. No disk backing. No persistence, just cat a static file that is generated by the module.The whole thing should live in RAM, expose one file called "hello" that returns some text. Seems like the next natural step. I mean, how different could it be? The First Attempt I started by doing what seemed obvious: create a superblock in fill_super , manually allocate inodes for the root directory and my hello file, create dentries for them, link everything together. Standard VFS stuff. The code compiled. The module loaded. I could mount it. I could even cat the file and see my message. Then I tried to unmount. [ 337.050239] gs_fs: superblock kill called [ 337.050258] ------------[ cut here ]------------ [ 337.051811] BUG: Dentry still in use (1) [unmount of gs_fs gs_fs] [ 337.053385] WARNING: CPU: 0 PID: 72 at fs/dcache.c:1590 umount_check+0x56/0x70 Enter fullscreen mode Exit fullscreen mode The kernel was not happy. "Dentry still in use" means I left references dangling somewhere. The VFS couldn't clean up properly because something was still holding onto my hello file's dentry. Down the Rabbit Hole The error message told me exactly what was wrong but not why. I had to understand the lifecycle of dentries and inodes and their reference counting, and how the VFS expects you to clean up during unmount. First theory: maybe I needed to implement evict_inode . So I added a proper super_operations struct with an evict callback that calls truncate_inode_pages_final() and clear_inode() . That's the standard pattern for cleaning up inodes (so it seems to me, correct me if I'm wrong PLEASE!). Nope. Second theory: maybe it's how I was creating the dentries. I was using d_alloc_name() to manually create the dentry for my hello file during mount. That gives you a dentry with a reference count, and there's no automatic mechanism to drop it. The VFS doesn't know about dentries you create manually like that (again, PLEASE set me straight if that's not the case). But here's the thing, I wasn't just randomly guessing. I started looking at how other simple filesystems do it. And that's when I found simple_fill_super() . Probably should start reading more of the kernel docs, I guess? The Kernel's Helper Functions Turns out the kernel has a bunch of helper functions specifically for pseudo-filesystems like mine. simple_fill_super() takes an array of file descriptors and sets up all the dentries, inodes, and reference counting for you automatically. It handles the lifecycle properly. So I refactored to use it: static int gs_fs_fill_super ( struct super_block * sb , struct fs_context * fc ) { static const struct tree_descr files [] = { { HELLO_FILENAME , & gs_hello_fops , 0444 }, { "" } // Sentinel }; sb -> s_op = & gs_fs_super_ops ; return simple_fill_super ( sb , GS_FS_MAGIC , files ); } Enter fullscreen mode Exit fullscreen mode Mounted it. Cat'd the file. Worked great. Tried to unmount. Nope. The Real Problem At this point I was getting frustrated. I had the right helpers. I had proper cleanup. What was I missing? Then I looked more carefully at my kill_sb function: static void gs_fs_kill_sb ( struct super_block * sb ) { pr_info ( "gs_fs: superblock kill called \n " ); kill_anon_super ( sb ); // This was the problem } Enter fullscreen mode Exit fullscreen mode I was using kill_anon_super() because I saw it in some example somewhere and it seemed reasonable. Anonymous superblock, right? When you use get_tree_nodev() with simple_fill_super() , you need to use kill_litter_super() instead. kill_litter_super() knows how to properly clean up structures created by simple_fill_super() . It handles all the dentries and inodes that got set up by that helper. Changed one line: static void gs_fs_kill_sb ( struct super_block * sb ) { pr_info ( "gs_fs: superblock kill called \n " ); kill_litter_super ( sb ); // Fixed } Enter fullscreen mode Exit fullscreen mode Perfect! Why This Matters This bug taught me more about the VFS than any amount of documentation reading could have (entirely speculation here, as I can't actually read). I had to dig into: How dentries cache the filesystem namespace How reference counting prevents premature cleanup Why the kernel provides helper functions and when to use them How different superblock types need different cleanup strategies The kernel has these subtle API pairings all over the place. Use get_tree_nodev() ? Pair it with kill_litter_super() . Use simple_fill_super() ? Make sure your super_operations are set up properly. The compiler won't catch these mismatches because they all compile just fine. You only find out at runtime. A valuable set of lessons taught by getting my hands dirty. What's Next Now that I have a working minimal filesystem, the obvious next steps are: Implement write support Add subdirectories Make files appear on-demand via .lookup Not sure I'll continue on the filesystem path or divert, but we'll see. 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 Adam Weber Follow Just a dude who likes to write code. Location North Carolina Joined Nov 19, 2025 More from Adam Weber Minimal Character Driver # linux # programming # tutorial Babies first /proc entry # linux # kernel # modules # development Tainting the kernel # linux # kernel # c # kprobe 💎 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. 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https://dev.to/adventures_in_ml/how-to-learn-a-new-tool-ml-117#main-content | How to Learn a New Tool - ML 117 - 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 How to Learn a New Tool - ML 117 Jun 8 '23 play In today's episode, we walk through Ben's experience creating the Hugging Face transformer flavor for ML flow. During this case study we highlight the structure he uses to learn new technologies and cover some practical tips along the way. Sponsors Chuck's Resume Template Developer Book Club starting Become a Top 1% Dev with a Top End Devs Membership 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 | 2026-01-13T08:48:16 |
https://dev.to/amigosmaker/python-gui-pyqt-vs-tkinter-5hdd#what-to-choose | Python GUI, PyQt vs TKinter - 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 amigos-maker Posted on Oct 31, 2019 • Edited on May 22, 2020 Python GUI, PyQt vs TKinter # python Both Tkinter and PyQt are useful for designing acceptable GUI’s, but at the same time, they differ in terms of adaptability and functionality. Mostly, Tkinter is all about writing GUI yourself, program your settings or functionality in the same script. On the other hand, in PyQt, you separate GUI in a script, and use your Python knowledge from another script. Instead of creating your own code for the user interface, you can simply adopt the Qt Designer functions to develop your application . Therefore, let’s see what the main differences and advantages of PyQt vs. Tkinter are. PyQt Advantages of using PyQt Coding flexibility – GUI programming with Qt is designed around the concept of signals and slots for establishing communication amongst objects. That permits flexibility when dealing with GUI events and results in a smoother codebase. More than a framework – Qt uses a wide array of native platform APIs for the purpose of networking, database creation, and many more . It offers primary access to them via a unique API. Various UI components – Qt offers several widgets, such as buttons or menus , all designed with a basic appearance across all supported platforms. Various learning resources – because PyQt is one of the most used UI frameworks for Python, you can get easy access to a wide array of documentation. Easy to master – PyQt comes with a user-friendly, straightforward API functionality, along with specific classes linked to Qt C++. This allows the user to use previous knowledge from either Qt or C++, making PyQt easy to understand. Disadvantages of using PyQt Lack of Python-specific documentation for classes in PyQt5 It requires a lot of time for understanding all the details of PyQt, meaning it is a quite steep learning curve Tkinter Advantages of using Tkinter Available out-of-charge for commercial usage. It is featured in the underlying Python library. Creating executables for Tkinter apps is more accessible since Tkinter is included in Python, and, as a consequence, it comes with no other dependencies. Simple to understand and master, as Tkinter is a limited library with a simple API, being the primary choice for creating fast GUIs for Python scripts. Disadvantages of using Tkinter Tkinter does not include advanced widgets. It has no similar tool as Qt Designer for Tkinter. It doesn't have a native look and feel What to choose? Anyhow, in most situations, the best solution is using PyQt, considering the advantages and disadvantages of both PyQt and Tkinter. GUI programming with Qt is created around signals and slots for communication amongst objects. Thus, it allows flexibility, while it gets to the programmer access to a wide array of tools. Tkinter can indeed be useful for those that want to design a fundamental and rapid GUIs for Python scripts, yet for a more advanced programming result , almost all programmers opt for the functionalities that come with PyQt . They admit it is worth mastering the advanced knowledge of PyQt due to the professional programming results that come along. Thus, when it comes to PyQt vs. Tkinter, it all depends on how much you want to learn and discover. Resources: Course: PyQt dekstop apps PyQt hello world Tkinter tutorial Top comments (5) Subscribe Personal Trusted User Create template Templates let you quickly answer FAQs or store snippets for re-use. Submit Preview Dismiss Collapse Expand robin deatherage robin deatherage robin deatherage Follow I am a retired Machine Programmer who's passion is still entrenched heavily into Computer Sciences. Location Texas Education NMU Work Machine Programmer at Namco Joined Nov 14, 2019 • Nov 14 '19 Dropdown menu Copy link Hide Actually it is Tk that is far more advanced than PyQt or Wx. I will explain why. Tk is still ahead of most all GUI Toolkits by as much as fifteen to twenty years as it is one of three of the only GUI Widget Toolkit made from the Original Toolkit Library. And is one of only three GUI Toolkits besides GTK and the NCSA Mosaic Canvas Toolkit that powers both the proprietary underlying HTML rendering Engines used by Netscape Navigator, WebKit, WebView, IE, Edge, Safari, Chrome, Chromium among a few others. The main reason it is so advanced is its ability to pre set JavaScript triggers for after render events with its tags, marks, configs() and its Binding Methods. One of these binding methods is the ability to set hyperlinks while suspending their path data for processing web request from user clicks in both regular and OpenClick() events. Many also are not aware that before 2009 there were still over fifty Web Browsers with Rendering Engines entirely developed using Tk that at that time were still being downloaded. Now Python does lack the 3D OpenGL that comes with Tk 8.6 and lacks the Video Codecs that are also in the Tk version, but they can be PyObject directly tied in and used, but only a handful of us are doing so. Also to Mimic all other GUI Libraries all one has to do is place all widgets and or create your own and ploace them individually inside Frames for each one. The Frames are the secret behind Tkinter and if placed within a Canvas give you full things such as radius buttons, cells for rendering HTML Blocks and or New Widgets. Thanks ! Like comment: Like comment: 8 likes Like Comment button Reply Collapse Expand ErtY'wek ErtY'wek ErtY'wek Follow Joined May 27, 2020 • May 27 '20 Dropdown menu Copy link Hide "The main reason it is so advanced is its ability to pre set JavaScript triggers for after render events with its tags, marks, configs() and its Binding Methods. One of these binding methods is the ability to set hyperlinks while suspending their path data for processing web request from user clicks in both regular and OpenClick() events. " Can you explain to a programming newbie? Like comment: Like comment: 2 likes Like Comment button Reply Collapse Expand Victor Meunier Victor Meunier Victor Meunier Follow Joined Jun 13, 2018 • Oct 31 '19 Dropdown menu Copy link Hide Interesting comparison. I've used Qt in C++ in the past and recently used PyQt5 to make a prototype ( github.com/MrEliptik/shotty ) and I loved it! The lack of python specific documentation can be a bit painful from time to time but hopefully someone on SO faced the same issue. Also, the bindings are really similar to Qt for c++ so usually you can use the C++ docs. You talked about Widgets for PyQt but you could also use QML right? I think it's especially interesting since it enables a lot of customization and can be interesting to make good looking apps such as desktop.telegram.org/ . Like comment: Like comment: 4 likes Like Comment button Reply Collapse Expand amigos-maker amigos-maker amigos-maker Follow Joined Oct 27, 2019 • Oct 31 '19 Dropdown menu Copy link Hide Looks like a cool app you made! Right, you can use QML also Like comment: Like comment: 2 likes Like Comment button Reply Collapse Expand michael michael michael Follow Games and GUI in c++ and python. builds web scrapers with python Email michaelobi54@gmail.com Location Nigeria Work Engineering undergraduate Joined Jul 20, 2020 • Jul 20 '20 Dropdown menu Copy link Hide I think Tkinter is underrated...partly because of the learning curve as you have to code every widget.But when you get a hang of it, it’s really great. Like comment: Like comment: 2 likes Like Comment button Reply 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 amigos-maker Follow Joined Oct 27, 2019 More from amigos-maker Waar kun je Flask voor gebruiken? (Dutch) # python # flask # nederlands # dutch What is Flask used for? # python # flask Wat is Flask? (Dutch) # python # flask 💎 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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https://stackoverflow.blog/2025/12/15/at-aws-re-invent-the-news-was-agents-but-the-focus-was-developers/ | At AWS re:Invent, the news was agents, but the focus was developers - 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 15, 2025 At AWS re:Invent, the news was agents, but the focus was developers Four days, 60,000 developers, and AI-generated perfume. The re:Invent that was. Credit: Alexandra Francis As is befitting the cloud platform that hosts about 30% of the internet , AWS re:Invent was massive. The conference, held this year in Las Vegas, hosted around 60,000 attendees over four days, and featured a slew of product announcements, networking events to wear your shaking hand down, and Beck. I attended in person this year—my first—to see the sights, record podcasts (forthcoming), and talk to folks about what the future bodes. I watched some keynotes, attended press conferences, and worked the Expo floor to see who would talk. After the show, I reached out to a few organizations to see what they thought about it. There was a lot of excitement and a little trepidation, plus millions of dollars of food and drink shoveled into the gullets of lucky developers. They do provide a fancy space for podcasts, though. AI: Agents, robots, and more If you haven’t been living under a rock for the past year, the thing that everyone is talking about (and trying to sell) are agents. That trend, dear reader, will not be stopping just yet. Much of what was announced in the keynotes was around agents and AI. The big one was the three frontier agents CEO Matt Garman announced in the first keynote. These are autonomous, pro-active AI agents that live with your application (in AWS, of course) and work for days at a time. These are the Kiro developer agent, a security agent, and a DevOps agent. They’ll work diligently in your EC2 clusters writing new code, finding security holes, and working frontline incident management. Another agentic feature that got a big announcement—not in a keynote, mind—was their tech debt killer, AWS Transform. Instead, they announced it by dropping a server onto a pile of explosives at the Las Vegas fairgrounds. The server is the tech debt, and AWS Transform is the big yellow boxes labeled “Explosive.” Legacy software versions and systems are a significant blocker in enterprises, and AWS saved 6,500 years of developer time upgrading Java , so this one is worth watching. Everybody’s building agents, not just AWS, and they are adding policy guardrails and evals to their Bedrock AgentCore service. Measuring and restricting the actions of agents is on the minds of everyone building agents (which, again, is everyone). “A single, standalone agent platform won’t deliver the vision of an agentic enterprise,” said Arnab Bose, Chief Product Officer at Asana. “The real value will come when agents can discover each other, share context, and collaborate across systems inside clear workflows, with identity, permissions, and guardrails baked in.” There’s been increased talk of AI sovereignty this year, so for folks building agents who need a little bit more security and ownership—like countries—they announced AI Factories. These provide dedicated infrastructure to entities that need a little more security and privacy around their AI usage. Using Humain, the AI company launched by Saudi Arabia’s sovereign wealth fund, as the example of this was certainly a choice, but it does show you the scale and scope of who they are thinking about as customers. Those agents build on LLMs, and AWS announced their new foundation model family, Nova 2. While these aren’t the cutting edge of LLMs, they don’t have to be—Nova models end up being more cost effective for most use cases. They also announced a whole new slew of open-weight models as available in Bedrock. These models are designed to be customized, and they announced features that would help companies train the available models without standing up a data team, including reinforcement fine tuning in Bedrock, generating synthetic data and model customization in SageMaker, and checkpointless training to recover from failures. Taken together, these point to a vision of a full-stack managed agentic infrastructure on AWS. Off-the-shelf or roll your own, AWS wants you to see both on their platform. Other AI and agentic companies like OpenAI, Anthropic, and Writer are building their products with deep integration on AWS. “To build durable systems, you have to remain LLM-agnostic,” said Adil Wali, CPO at Klaviyo. “The ‘best’ model for a given job is shifting week by week, so the ability to plug in whichever model performs best, without heavy re-architecture, will be critical for long-term success." There were a number of other plucky little startups brought into keynotes to discuss how they are building on AWS, like Sony, Adobe, and Apple. Guillermo Rauch from Vercel talked about how they are building self-driving infrastructure on AWS, which looks like another part of the full-stack agentic pathway. Malte Ubl, Vercel’s CTO, told me more about it: “The idea is that you get infrastructure, but you don't have to be responsible for running it. We've seen projects fail because they're too ambitious. There's a really effective way of identifying projects in every company. Go to your relatively low-level employees and ask them, what do you hate about your job?” In the AWS Startup program, there were a few companies looking to find the future of AI beyond the Transformer model. Deepgram, a speech-to-text and text-to-speech startup born out of the search for dark matter, announced a deep integration with AWS Bedrock. Pathway, building language models that look like the brain, made waves recently with their Baby Dragon Hatchling model paper. Inception, which claims their models are 10x faster than current LLMs, uses diffusion models for text. Stay tuned, in the next few months, we’ll have podcasts featuring all three. As you may have noticed, AI is moving out of the cloud and into the physical world. AWS and NVIDIA showed off a number of companies building smart robots. This was a varied bunch, from focused companies like RLWRLD building dexterous hands to Bedrock Robotics building real-life Constructicons (they’re powered by Transformers! It counts!). We’ve seen more interest in robots on the podcast, and expect that to continue as technologies improve. Don’t expect robot butlers just yet: consumers are unlikely to spend the $100k that a cutting edge robot like a company will. A trends briefing on physical AI with representatives from Bedrock Robotics, RLWRLD, AWS, NVIDIA, and Tutor. All about the platform What struck me by some of the keynote announcements is that they feel like they are going after some of the same market space as a lot of current agentic startups—security, SRE, and code. In an AMA with Jason Bennett, Vice President, Worldwide Startups and Venture Capital, at AWS, whether they pick companies to support based on whether they compete with AWS features or not. In short, he said it was all about the platform, baby. They want to serve their customers better, and provide tools for anyone to build something better (on AWS, of course). They announced a number of new computing offerings, many geared towards big hungry AI applications. The new P6e-GB300 UltraServers use the NVIDIA GB300 NVL72 , a pretty beefy multi-core rack. EC2 Trn3 UltraServers use a custom-built chip and are specifically designed for training and inference workloads. There were a couple of quality-of-life servers, one with more compute than memory, the other with more memory than compute. The agentic and AI stuff gets all the headlines, as it rides the zeitgeist pretty hard, but this is where the money is. There’s a saying: “During a gold rush, sell shovels.” In the AI goldrush, these are the shovels. It makes sense that they are pretty competitor agnostic when it comes to AI companies. If they want to run on AWS servers, then consider them a friend. Naturally, all that software running on AWS servers makes for a pretty appealing attack surface, so they also announced that their Security Hub was generally available. This takes signals from all their security products and correlates them together. This includes GuardDuty, which has been extended to cover EC2 and ECS instances. Taken with the security frontier agent, it seems that AWS knows what a prize they hold and are building better walls against invaders. Naturally, with all these announcements related to compute, there had to be some related to storage. S3 Vectors are now generally available with two billion vectors per index. S3 maximum object size was increased tenfold. Even old RDS got a little bump to storage. In talking to folks, I heard a little bit of grumbling about the announcements, that this wasn’t as big a deal as other keynotes. They felt that many of the announcements were of things already available or that added incremental value to existing products. The counter argument was that AWS is essentially feature complete, and anything new should add more reasons to stay with what customers already had. Actually, it’s not AI; It’s developers All this agent and AI talk continues to make developers nervous. May Habib, CEO of Writer, told us at a press briefing that CEOs of large enterprises were coming to her asking how they could cut 30% of their workforce. The frontier agents announced in Garman’s keynote will likely not only disrupt and dis-employ SREs and security professionals, they’ll put whole startups out of business. With the growing focus on physical AI, there are more companies looking for new areas in which to automate work. AWS read the room and addressed these concerns in their keynotes. In Amazon CTO Werner Vogels’s closing keynote—the last of the conference and of his long career—he once again used his shirt to convey a theme. It read, “ Open mind for a different view and nothing else matters,” lyrics from a Metallica song (this being Las Vegas, I heard that there was a bet line on what his shirt would read). He used this speech to talk about the continued need for developers in a changing world, a world that has been continually and rapidly changing since it became a profession. Like others, Vogels compared AI’s and other technologies’ effect on developers to the Renaissance. It was a time of great advancements in thought and science, and he opined on what made people effective in that world: “They were curious. They questioned assumptions. They learned broadly and applied that learning deeply. They didn't see boundaries between fields. They built bridges between them. They were also bold experimenters. They sketched, they measured. They failed. They tried again. They learned by doing so.” (There was also a huge amount of societal blowback and violence. Wars sparked by the reformation and counter-reformations swept Europe. The Inquisition tortured and killed plenty of curious free thinkers. While Galileo recanted his views about accepted dogma and dodged execution, Thomas More and Giordano Bruno didn’t. While these curious folks may have not seen boundaries between fields, the people in power certainly did. Don’t mind me, just re-reading Q .) For a developer to succeed in the future, Vogels gave five qualities: Curiosity : Continuous learning has always been part of the developer purview, but I guess it’s grown to include experimenting and failing. Can you add the number of failures to your performance review? Thinking in systems : As a dev, you’ll no longer be able to be a hermit in your smaller domain. You’re got to understand where you fit within the larger system. Communication : Devs have gotten hip to the power of soft skills in the last few years, especially in remote environments , but Vogels points out that you’ll need to clearly express your thoughts to both teammates and AI tools. Ownership : You commit it, you bought it. In a world where it is very easy to create code with AI, devs still need to understand their code, manage the tests and tooling around it, and shepherd it in production. Be a polymath : He suggests that having a specialization isn’t enough; you now need to have a solid understanding of the rest of the parts of a software system. I’ve already seen people update their LinkedIn headlines to “T-shaped developer” so it seems the message has landed. In my conversations with folks, it’s job change, not job loss that’s coming. “Colleen Aubrey and Werner Vogels used the keynote stage to refocus the conversation on where the real benefits lie: growth,” said Pete Johnson, Field CTO, AI at MongoDB. “Not just organizational growth, but the creation of entirely new categories of work, including roles and skillsets that didn’t exist even a few years ago. The message reinforced what many of us are feeling on the ground, that AI is helping to expanding opportunity, not eliminate it.” The changes coming may have an analogue to the one that came about 20 years (and made the host of the conference a big deal): cloud computing. “People's jobs changed based on what was possible, what was easy, what was hard, and where problems cranked up,” said Michael Foree, Director, Data Platform here at Stack Overflow. “I don't think that jobs are gonna go away. I think that they're gonna radically change, because AI is good at some things, so we don't need people to do X, but it's gonna be bad at some things, so we do need people to step in and do Y. One of the things that I hear frequently is, ‘My job isn't gonna change, but that job over there is gonna change. Like, ‘oh, the data engineers should be worried.’ And then I go, and I talk to a data engineer, and they're like, ‘No, my job is rock solid. Those people over there, they should be concerned.’” AI may actually create new categories of jobs. While your prompt engineer roles have dried up, there’s a lot of interest in folks who can use AI and agents effectively. “I was talking to a CEO yesterday,” said Parashanth Chandrasekar, Stack Overflow’s CEO. “He’s building a frontier lab for life sciences. That would never have existed a few years ago in the context of what he's doing. It's a complete game changer for him to have access to this kind of end-to-end, integrated tech stack for the AI capability. Overall, there'll be more companies created, and you're seeing that in the startup ecosystem.” Conference goers swarm into the newly opened Expo hall for tiny snacks and free beer while chatting about their AI strategy. There was no shortage of companies interested in the event. Besides the many companies who shared the keynote stage, hundreds of companies sponsored the event at various levels, and had booths of varying sizes, all staffed with eager and chatty folks. Some of the Expo booths had creative activations: games that drew lines of players and demos that showed off the product. Guests of the Venetian—the primary host of the conference, but not the only one—were handed a list of the five restaurants that weren’t booked by a sponsor for the entire event. As Corey Quinn (of Last Week in AWS fame) put it, “In Las Vegas, the theme and the motto of re-event is ‘Closed for private event’ because every time we try to go somewhere, it's closed.” AWS is empty and all the devs are here This being my first re:Invent rodeo (which coincidently shared time with an actual rodeo), I was impressed with the scale and gravity of the thing. Many of the folks I’d talked to for the podcast were on site, as were people I knew IRL. The city seemed consumed by the conference—all the ads were aimed at attendees. The parties were at AWS scale; Beck closed the re:Play party while a robot arm crushed cars in the background. Jack White played a startup event on the first day, while multiple events claimed to have the Chainsmokers on site. This was the wrong place to park, I'm afraid. It’s a testament to the centrality of AWS (and cloud computing in general) that this user conference had the gravity to draw 60,000 plus people to Las Vegas. Someone wondered what would happen if there was an AWS outage during the conference. The answer is probably the same as if it happened outside the conference. While there were a lot of AWS employees at the event, speculation was that it was a single digit percentage of the company. Did you go this year? Let us know what you thought about the show in the comments. Author s Ryan Donovan Staff AI aws cloud computing 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://dev.to/t/backend/page/3 | Backend Page 3 - 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 # backend Follow Hide Desenvolvimento do lado do servidor, APIs, bancos de dados e logica de negocios. Create Post Older #backend posts 1 2 3 4 5 6 7 8 9 Posts Left menu 👋 Sign in for the ability to sort posts by relevant , latest , or top . Right menu Don't Trust the Client: How I Hacked My Own Coupon System Aditya Aditya Aditya Follow Jan 6 Don't Trust the Client: How I Hacked My Own Coupon System # backend # security # webdev Comments Add Comment 2 min read System Design in 2026: The Complete Guide (18,500 words) Akhilesh Akhilesh Akhilesh Follow Jan 7 System Design in 2026: The Complete Guide (18,500 words) # systemdesign # softwareengineering # backend # engineering 1 reaction Comments Add Comment 2 min read I built an auth backend for my own app — then tried selling it to see if it works Geeta Geeta Geeta Follow Jan 7 I built an auth backend for my own app — then tried selling it to see if it works # backend # learning # authentication # mobile Comments Add Comment 2 min read 🔥 Laravel Query Gate v1.2.0 is AWESOME Jefferson Silva Jefferson Silva Jefferson Silva Follow Jan 6 🔥 Laravel Query Gate v1.2.0 is AWESOME # laravel # php # api # backend Comments Add Comment 2 min read Designing for Failure: Building Reliable Crypto-to-Utility Payments with Provider Failover Yusuf Adeniyi Yusuf Adeniyi Yusuf Adeniyi Follow Jan 8 Designing for Failure: Building Reliable Crypto-to-Utility Payments with Provider Failover # architecture # fintech # backend # systemdesign 2 reactions Comments 2 comments 3 min read Why allocs/op stopped being a good Go performance signal Pavel Sanikovich Pavel Sanikovich Pavel Sanikovich Follow Jan 11 Why allocs/op stopped being a good Go performance signal # go # performance # programming # backend 1 reaction Comments 1 comment 2 min read How I Think About Backend Engineering as a Student Kushal Sai Kushal Sai Kushal Sai Follow Jan 7 How I Think About Backend Engineering as a Student # backend # softwareengineering # go # webdev Comments Add Comment 3 min read @RequestBody in SpringBoot Er. Bhupendra Er. Bhupendra Er. Bhupendra Follow Jan 7 @RequestBody in SpringBoot # backend # java # springboot Comments Add Comment 4 min read ZinTrust: a TypeScript backend framework for structure without decorators zintrust Zin zintrust Zin zintrust Zin Follow Jan 7 ZinTrust: a TypeScript backend framework for structure without decorators # typescript # node # backend # opensource Comments Add Comment 2 min read MongoDB Indexing Guidelines: Why Your Index Exists but Is Never Used Shubham Ravani Shubham Ravani Shubham Ravani Follow Jan 7 MongoDB Indexing Guidelines: Why Your Index Exists but Is Never Used # mongodb # backend # performance # database Comments Add Comment 3 min read Kodkod: Production Backends in Seconds Sibil Sarjam Soren Sibil Sarjam Soren Sibil Sarjam Soren Follow Jan 7 Kodkod: Production Backends in Seconds # webdev # node # typescript # backend Comments Add Comment 1 min read TCP Doesn’t Know What a Message Is Dikshant Thakur Dikshant Thakur Dikshant Thakur Follow Jan 7 TCP Doesn’t Know What a Message Is # networking # backend # node # systems Comments Add Comment 4 min read Building a Production-Ready Rate Limiter with Redis & Lua in NestJS (Part 1) Ajao Yussuf Ajao Yussuf Ajao Yussuf Follow Jan 7 Building a Production-Ready Rate Limiter with Redis & Lua in NestJS (Part 1) # nestjs # redis # backend # typescript 1 reaction Comments Add Comment 9 min read @Controller vs @RestController Er. Bhupendra Er. Bhupendra Er. Bhupendra Follow Jan 7 @Controller vs @RestController # api # backend # java # springboot Comments Add Comment 2 min read DocWire SDK in 2025 – Architecture, AI Pipelines, and Document Processing in Modern C++ Krzysztof Nowicki Krzysztof Nowicki Krzysztof Nowicki Follow Jan 7 DocWire SDK in 2025 – Architecture, AI Pipelines, and Document Processing in Modern C++ # cpp # softwareengineering # backend # ai Comments Add Comment 1 min read Dart Server-Side in 2026: An Introduction to Dart Frog 🐸 Samuel Adekunle Samuel Adekunle Samuel Adekunle Follow Jan 6 Dart Server-Side in 2026: An Introduction to Dart Frog 🐸 # dart # backend # dartfrog # techwithsam 5 reactions Comments Add Comment 3 min read Why I Chose Go for Backend Engineering (Pros, Cons, and Honest Trade-offs) Kushal Sai Kushal Sai Kushal Sai Follow Jan 7 Why I Chose Go for Backend Engineering (Pros, Cons, and Honest Trade-offs) # systems # backend # learning # go 1 reaction Comments Add Comment 4 min read Kubernetes 1.35: In-Place Pod Resize is GA — Scale Vertically Without Restarting Grego Grego Grego Follow Jan 6 Kubernetes 1.35: In-Place Pod Resize is GA — Scale Vertically Without Restarting # kubernetes # backend Comments Add Comment 5 min read VK Music Bot API: Open Source Backend for VK Music in Telegram Traft Traft Traft Follow Jan 5 VK Music Bot API: Open Source Backend for VK Music in Telegram # showdev # api # backend # opensource 1 reaction Comments Add Comment 2 min read Performance Degradation Due to Inefficient Apex / ORM Usage (salesforce) Selavina B Selavina B Selavina B Follow Jan 7 Performance Degradation Due to Inefficient Apex / ORM Usage (salesforce) # backend # codequality # database # performance Comments Add Comment 3 min read Designing APIs That Are Hard to Misuse Nilesh Raut Nilesh Raut Nilesh Raut Follow Jan 10 Designing APIs That Are Hard to Misuse # backend # architecture # api # design 15 reactions Comments 2 comments 3 min read 🔍 JPA, Hibernate, JDBC… I Was Confused Until This Finally Clicked Shashwath S H Shashwath S H Shashwath S H Follow Jan 11 🔍 JPA, Hibernate, JDBC… I Was Confused Until This Finally Clicked # springboot # java # backend # hibernate 1 reaction Comments Add Comment 2 min read The 15-Minute Goroutine Leak Triage: Two Dumps, One Diff, Zero Guessing Voskan Voskanyan Voskan Voskanyan Voskan Voskanyan Follow Jan 6 The 15-Minute Goroutine Leak Triage: Two Dumps, One Diff, Zero Guessing # go # backend # microservices # programming Comments Add Comment 5 min read # How Express.js Works Behind the Scenes: An Inside Look sudip khatiwada sudip khatiwada sudip khatiwada Follow Jan 5 # How Express.js Works Behind the Scenes: An Inside Look # webdev # programming # backend # node Comments Add Comment 3 min read Why HMAC Is the Right Choice for Webhook Security (and Why Spubhi Makes It Simple) Spubhi Spubhi Spubhi Follow Jan 5 Why HMAC Is the Right Choice for Webhook Security (and Why Spubhi Makes It Simple) # api # backend # security Comments Add Comment 3 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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https://dev.to/rokoss21/compliance-levels-4phl | Compliance Levels - 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 rokoss21 Posted on Dec 16, 2025 Compliance Levels # ai # webdev # programming # architecture Purpose This document defines compliance levels for FACET-related implementations. While the FACET v2.0 specification defines what is correct , compliance levels define how completely a given component (compiler, adapter, runtime, SDK integration) adheres to the FACET contract model. This allows the ecosystem to: distinguish partial integrations from full implementations avoid false claims of determinism set clear expectations for enterprise use evolve the standard without breaking attribution or trust Compliance levels are declarative and auditable . Core Principle Not all FACET integrations are equal — and that must be explicit. A component MUST declare its compliance level. Silently claiming "FACET-compatible" without meeting the requirements of a level is considered non-compliant . Compliance Levels Overview FACET defines four compliance levels: Level Name Scope L0 Conceptual Documentation / ideas only L1 Structural Canonical JSON & schema adherence L2 Deterministic Full determinism & reproducibility L3 Reference Spec-complete, reference-grade Level 0 — Conceptual Compliance (L0) Audience: blog posts, design docs, experimental prototypes Definition The implementation: references FACET concepts (contracts, determinism, Canonical JSON) does NOT implement formal compilation or guarantees Allowed Claims "FACET-inspired" "FACET concepts applied" "Contract-based approach" Forbidden Claims deterministic execution reproducibility guarantees FACET-compatible Notes L0 is not an implementation level . It exists to allow discussion without misleading users. Level 1 — Structural Compliance (L1) Audience: SDK extensions, tooling, lightweight integrations Definition The implementation: produces or consumes Canonical JSON follows canonical ordering and explicit null rules enforces schema shape stability Required Properties stable key ordering explicit null for missing optional fields deterministic serialization Non-Requirements full R-DAG execution Token Box Model strict determinism across runs Allowed Claims "FACET-compatible (structural)" "Canonical JSON compliant" Common Examples logging / auditing tools snapshot testing harnesses visualization layers Level 2 — Deterministic Compliance (L2) Audience: production agent systems, enterprise deployments Definition The implementation: fully enforces deterministic execution produces identical Canonical JSON for identical inputs rejects invalid states before provider execution Required Properties strict Facet Type System (FTS) deterministic R-DAG execution deterministic Token Box Model layout canonical JSON as the single source of truth no retries as a correctness mechanism Guarantees reproducible outputs stable hashing replayable executions deterministic failure modes Allowed Claims "Deterministic" "FACET-compliant" "Reproducible agent execution" Level 3 — Reference Compliance (L3) Audience: standards bodies, auditors, long-term infrastructure Definition The implementation: satisfies all FACET v2.0 normative requirements passes the official FACET golden test suite is suitable as a reference implementation Required Properties full spec coverage (all execution phases) golden tests with published fixtures strict adapter requirements hermetic execution guarantees documented versioning and change history Privileges Only L3 implementations may claim: "FACET Reference Implementation" "Spec-complete" "FACET Standard" Adapters and Compliance Provider adapters have their own compliance axis . An adapter may be: L1 compliant (structural mapping only) L2 compliant (deterministic mapping + golden tests) Adapters can never be L3 on their own. They inherit system-level compliance. Misrepresentation Clause Claiming a higher compliance level than implemented is a spec violation . Non-compliant claims: "Deterministic" without reproducibility "FACET-compatible" without Canonical JSON "Standard" without spec coverage Such claims invalidate trust and interoperability. Rationale Compliance levels exist to prevent: marketing-driven overclaims partial integrations masquerading as standards ecosystem fragmentation A deterministic contract layer only works if trust is explicit. Summary FACET compliance is not binary. It is tiered, explicit, and enforceable . If a system does not declare its compliance level, it has none. Status This document defines normative compliance levels for the FACET ecosystem. 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 rokoss21 Follow Building FACET — a deterministic AI language & ecosystem for next-gen agents, world engines and autonomous systems. Engineer, founder, systems thinker, creator of SINGULAR Engine. 🚀 Education Systems architecture & AI engineering (self-directed path) Pronouns he/him Work Founder, AI Systems Architect & Tooling Engineer Joined Dec 6, 2024 More from rokoss21 History and Rationale of FACET # ai # architecture # llm FACET Glossary # webdev # programming # ai # architecture FACET vs Existing Approaches # webdev # programming # ai # architecture 💎 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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https://dev.to/adam_weber_6dc0d5bd752326 | Adam Weber - 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 Adam Weber Just a dude who likes to write code. Location North Carolina Joined Joined on Nov 19, 2025 Personal website https://github.com/adamw17/ More info about @adam_weber_6dc0d5bd752326 Badges Writing Debut Awarded for writing and sharing your first DEV post! Continue sharing your work to earn the 4 Week Writing Streak Badge. Got it Close Skills/Languages C Currently learning Going back to systems dev and trying to get lower level than I have in the past. Currently hacking on GhostScope Available for Anything really honestly. I'm happy to talk. Post 7 posts published Comment 1 comment written Tag 0 tags followed Debugging a Filesystem Module: When Reference Counting Goes Wrong Adam Weber Adam Weber Adam Weber Follow Jan 7 Debugging a Filesystem Module: When Reference Counting Goes Wrong # linux # kernel # filesystem Comments Add Comment 3 min read Want to connect with Adam Weber? Create an account to connect with Adam Weber. You can also sign in below to proceed if you already have an account. Create Account Already have an account? Sign in Minimal Character Driver Adam Weber Adam Weber Adam Weber Follow Dec 8 '25 Minimal Character Driver # linux # programming # tutorial Comments Add Comment 3 min read Babies first /proc entry Adam Weber Adam Weber Adam Weber Follow Dec 8 '25 Babies first /proc entry # linux # kernel # modules # development Comments Add Comment 3 min read Tainting the kernel Adam Weber Adam Weber Adam Weber Follow Dec 3 '25 Tainting the kernel # linux # kernel # c # kprobe Comments Add Comment 3 min read Kernel Module Dev Environment Adam Weber Adam Weber Adam Weber Follow Nov 28 '25 Kernel Module Dev Environment # c # tutorial # linux # tooling Comments Add Comment 3 min read Panic in the sandbox Adam Weber Adam Weber Adam Weber Follow Nov 26 '25 Panic in the sandbox # linux # kernel # qemu # learning Comments Add Comment 2 min read A Simple Binary Adam Weber Adam Weber Adam Weber Follow Nov 20 '25 A Simple Binary # devjournal # learning # programming Comments 2 comments 2 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. 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 | 2026-01-13T08:48:16 |
https://stackoverflow.co/data-licensing/ | Stack Overflow Data Licensing - 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 Download sample data The API Awards Best AI API 2024 & 2025 How the learning models learn Human-validated. Fairly attributed. Train and fine-tune your AI on one of the internet’s biggest troves of answers, solutions and top-class technical expertise. Download sample datasets The world’s leading AI companies are building with us Partner with us Decades of verified knowledge and data — all in one place 17 years+ of top-class, technical developer expertise 83M+ questions and answers (and counting) 69,000+ unique topics, curated and moderated to filter out bad data 21 sec. on average, between each new question posted How our datasets can help you (and your AI) Tap into accurate, trustworthy knowledge Our steady stream of verified data means your models are more accurate, more trustworthy, and never stop improving. Deepen reasoning and understanding Our data captures the step-by-step thinking of experts solving problems. This intelligence doesn't exist anywhere else — and it can teach your AI to reason and understand. Get to market quicker Our human-validated knowledge means bias, duplicates and inaccuracies are already filtered out — so you can spend less time tinkering and more time shipping. License with confidence More accurate models — trained on licensed, properly attributed content — means peace of mind for you, and confidence for your customers. Whatever you’re building, we can help Large language models Small language models AI agents AI chatbots AI copilots RAG The verdict is in: models outperform with our data Retrieval Augmented Generation (RAG) Source: CodeRAG-Bench: Can Retrieval Augment Code Generation? Percent of “Perfect” answers Source: Internal testing based on a proprietary eval set of 1,000 Q&A with ground truth answers. The Stack API Get real-time API access to the Stack Overflow public dataset Our API gives you real-time access to millions of expert-vetted questions, answers, comments, and more. Tap into this step-by-step thinking to deepen your AI's context awareness and reasoning power. Read API documentation Want to test it out? 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These datasets can include curated questions-and-answer pairs from one or more of our 150+ Stack Exchange sites along with metadata like tags, comments, votes, and revisions. How is Stack Overflow’s data sourced? Stack Data Licensing provides a vast, ethically sourced stream of data that’s contributed, validated, and refined by our community. To maintain these high-quality contributions, we are constantly investing in new community tools and functionality. This helps ensure AI models and products learn from fresh human-validated knowledge while correctly attributing content. How do you ensure the training data is reliable and high-quality? Stack Overflow employs a rigorous moderation system that acts as a powerful data curation engine. This system ensures the data is meticulously curated by actively filtering out noise, bias, duplicates, and inaccurate content. 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Our knowledge, shared Visit the blog Visit resource center December 15, 2025 At AWS re:Invent, the news was agents, but the focus was developers Four days, 60,000 developers, and AI-generated perfume. The re:Invent that was. Read article December 11, 2025 Simulating lousy conversations: Q&A with Silvio Savarese, Chief Scientist & Head of AI Research at Salesforce AI yells at voice agents so you don't have to. Read article 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. Read article Stay updated Subscribe to receive Stack Overflow Business content around knowledge sharing, collaboration, and AI. 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https://docs.github.com/en/subscriptions-and-notifications | Subscriptions and notifications documentation - GitHub Docs Skip to main content GitHub Docs Version: Free, Pro, & Team Search or ask Copilot Search or ask Copilot Select language: current language is English Search or ask Copilot Search or ask Copilot Open menu Open Sidebar Subscriptions & notifications Home Subscriptions & notifications Get started Configuring notifications Concepts About notifications Scheduled reminders How-tos Manage subscriptions View subscriptions Manage your subscriptions Customize a workflow Manage from your inbox Triage a notification Manage organization notifications Manage Actions notifications Manage scheduled reminders Manage security notifications Manage marketing emails Tutorials Triage your notifications Reference Inbox filters Email notification headers Emails from GitHub Subscriptions and notifications documentation You can specify how to receive notifications, the repositories you are interested in, and the types of activity you want to hear about. Start here About notifications Notifications provide updates about the activity on GitHub that you've subscribed to. You can use the notifications inbox to customize, triage, and manage your updates. Popular Configuring notifications Choose the type of activity on GitHub that you want to receive notifications for and how you want these updates delivered. What's new View all Sunset notice for automatic watching of repositories and teams April 15 All Subscriptions & notifications docs Get started with your GitHub subscriptions and notifications Configuring notifications Concepts for your GitHub notifications About notifications Scheduled reminders How-tos for your GitHub notifications Managing subscriptions for activity on GitHub • 2 articles Viewing and triaging notifications • 2 articles Managing organization notifications Managing GitHub Actions notifications Managing your scheduled reminders Managing security notifications Managing marketing emails from GitHub Tutorials for your GitHub notifications Customizing a workflow for triaging your notifications Reference for subscriptions and notifications Inbox filters Email notification headers Types of emails GitHub sends Help and support Did you find what you needed? Yes No Privacy policy Help us make these docs great! All GitHub docs are open source. See something that's wrong or unclear? Submit a pull request. Make a contribution Learn how to contribute Still need help? Ask the GitHub community Contact support Legal © 2026 GitHub, Inc. Terms Privacy Status Pricing Expert services Blog | 2026-01-13T08:48:16 |
https://docs.github.com/en/pull-requests | Pull requests documentation - GitHub Docs Skip to main content GitHub Docs Version: Free, Pro, & Team Search or ask Copilot Search or ask Copilot Select language: current language is English Search or ask Copilot Search or ask Copilot Open menu Open Sidebar Pull requests Home Pull requests Commit changes to your project Create & edit commits About commits With multiple authors On behalf of an organization Changing a commit message View & compare commits Comparing commits Commit views Troubleshooting commits Commit missing in local clone Linked to wrong user Commit blocked by push protection Collaborate with pull requests Getting started Collaborative development Help others review your changes Manage and standardize pull requests Working with forks About forks Fork a repository Permissions and visibility Configure a remote repository Syncing a fork Allow changes to a branch Deleted or changes visibility Detaching a fork Code quality features About status checks Required status checks Propose changes About branches Create & delete branches About pull requests Compare branches Creating a pull request Create a PR from a fork Using query parameters to create a pull request Change the state Request a PR review Update the head branch Change the base branch Commit to PR branch from fork Address merge conflicts About merge conflicts Resolve merge conflicts Resolve merge conflicts in Git Review changes About PR reviews Review proposed changes Filter files Methods & functions Comment on a PR View a PR review Review dependency changes Incorporate feedback Required reviews Dismiss a PR review Check out a PR locally Incorporate changes About pull request merges Merging a pull request Merge PR automatically Merge PR with merge queue Closing a pull request Reverting a pull request Pull requests documentation Learn how to use pull requests to suggest changes to a project, receive suggested changes to your own projects, and address issues in pull requests, such as merge conflicts. Overview Start here Changing a commit message If a commit message contains unclear, incorrect, or sensitive information, you can amend it locally and push a new commit with a new message to GitHub. You can also change a commit message to add missing information. Resolving a merge conflict using the command line You can resolve merge conflicts using the command line and a text editor. Creating and deleting branches within your repository You can create or delete branches directly on GitHub. Creating a pull request Create a pull request to propose and collaborate on changes to a repository. These changes are proposed in a branch, which ensures that the default branch only contains finished and approved work. Popular About pull request reviews Collaborate on pull requests to improve code quality. Resolving a merge conflict on GitHub You can resolve simple merge conflicts that involve competing line changes on GitHub, using the conflict editor. Syncing a fork Sync a fork of a repository to keep it up-to-date with the upstream repository. Merging a pull request Merge a pull request into the upstream branch when work is completed. Anyone with push access to the repository can complete the merge. Guides Approving a pull request with required reviews If your repository requires reviews, pull requests must have a specific number of approving reviews from people with write or admin permissions in the repository before they can be merged. @GitHub Reverting a pull request You can revert a pull request after it's been merged to the upstream branch. @GitHub Why are my commits linked to the wrong user? GitHub uses the email address in the commit header to link the commit to a GitHub user. If your commits are being linked to another user, or not linked to a user at all, you may need to change your local Git configuration settings, add an email address to your account email settings, or do both. @GitHub All Pull requests docs Committing changes to your project Creating and editing commits • 4 articles Viewing and comparing commits • 2 articles Troubleshooting commits • 3 articles Collaborating with pull requests Getting started • 3 articles Working with forks • 8 articles Collaborating on repositories with code quality features • 2 articles Proposing changes to your work with pull requests • 12 articles Addressing merge conflicts • 3 articles Reviewing changes in pull requests • 11 articles Incorporating changes from a pull request • 6 articles Help and support Did you find what you needed? Yes No Privacy policy Help us make these docs great! All GitHub docs are open source. See something that's wrong or unclear? Submit a pull request. Make a contribution Learn how to contribute Still need help? Ask the GitHub community Contact support Legal © 2026 GitHub, Inc. Terms Privacy Status Pricing Expert services Blog | 2026-01-13T08:48:16 |
https://dev.to/mwolfhoffman/supabase-vs-firebase-pricing-and-when-to-use-which-5hhp#consideration-for-supabase-vs-firebase | Supabase Vs Firebase Pricing and When To Use Which - 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 Michael Wolf Hoffman Posted on Jan 22, 2022 Supabase Vs Firebase Pricing and When To Use Which # sql # webdev # firebase # database Supabase Vs Firebase Pricing and When To Use Which Supabase recently appeared on the scene as an attempt to be an open source alternative to Firebase. It's a great product and I've used it in many projects already. I've written about it here and here . The main difference between Supabase vs Firebase is that Supabase is a SQL database that utilized postgres and Firebase uses a NoSQL document data store. On my current side project I recently replaced Supabase for Firebase. I'll get into why and some of the pricing differences to consider. Consideration for Supabase vs Firebase Firebase has more features, for now For one, Firebase has been around much longer than Supabase and thus has more features. You can host your app on Firebase, you can also write cloud functions. (Currently I believe Supabase has cloud functions in beta). Both have great options for objects storage, authentication, and most things you will need as a backend as a service product. Also, while Supabase is not yet a perfect 1:1 mapping of Firebase, they do seem to be very quickly puting out new features to more closely match Firebase's offerings. SQL vs NoSQL This is a big one that I've been considering more. I enjoy relational data and my brain allows me to think about the relationships that SQL allows better than NoSQL document or key/value stores. I've been doing more of a deep dive into NoSQL and learning about how to structure data with it lately. With my research, I have decided that for small side projects and MVPs, I will be going with Firebase over Supabase if I truly don't need my data to be relational. NoSQL (firebase) can often be structured in a way that is more efficient than SQL. There are drawbacks however. Because you can't write complex queries and joins, you do have to consider how you might want to query your data in the future. This can be a difficult task. Once you have correctly anticipated the queries your application will need in the future, you actually duplicate that data into another document or collection in the NoSQL data store. Of course, now you have multiple places to update data too! This sounds like a headache, but with some practice it's actually pretty easy to catch on fast. After learning some more about how to structure documents in a NoSQL datastore, this performance and scalability is why I have decided that I will typically use Firebase over Supabase. The other reason is price. Pricing Another consideration for the Supabase vs Firebase debate is pricing. Both services offer a generous free tier. But what makes pricing considerations difficult is that scalability always has to be kept in mind. First, let's go over what each service offers for free in terms of a database and authentication (the two most used services by each) per month. Supabase: You get 3 free projects. You get 500 MB of storage. You get 10,000 users through their authentication service. Firebase: You get unlimited free projects. You get 1 GB of storage. You get 10,000 users through their authentication service. Firebase does charge for ingress and egress too. So you get 20,000 free writes per day and 50,000 free reads per day. Which to choose Ultimately, when I think about how my projects are going to scale (if they ever needed to) and what I am going to use them for, often NoSQL is just fine for my use cases and I get a better deal with Firebase. This is because my projects don't often scale to over 20,000 writes per day or 50,000 reads per day. And even if they do, the price is comparable with Supabase's next tier. This decision allows me to save my limited supabase free projects for when I really need a relational database. Top comments (6) Subscribe Personal Trusted User Create template Templates let you quickly answer FAQs or store snippets for re-use. Submit Preview Dismiss Collapse Expand Rashim Narayan Tiku Rashim Narayan Tiku Rashim Narayan Tiku Follow Joined Jan 21, 2023 • Apr 4 '24 Dropdown menu Copy link Hide You haven't added the biggest price factor for Supabase which is "Bandwidth" and "DB scalability". "Bandwidth": You won't run out of MAUs or DB storage, but you would easily cross the 5gb bandwidth mark, after which 25$ plan is your only option. "DB scalability": Free tier gives you micro DB which has very less concurrent connections allowed, scaling it again will cost you paid plan + extra compute costs. Supabase have very smartly advertised to bring in customers, but you realize after you get in that "there's no such thing as a free lunch". Like comment: Like comment: 1 like Like Comment button Reply Collapse Expand shaoyanji shaoyanji shaoyanji Follow Joined Mar 19, 2024 • Apr 21 '24 Dropdown menu Copy link Hide pssssst....pocketbase Like comment: Like comment: 2 likes Like Comment button Reply Collapse Expand Nicolò Curioni Nicolò Curioni Nicolò Curioni Follow I’m an Italian iOS developer. Education Tradate (VA), Italy Work Full time iOS developer Joined Apr 14, 2022 • Apr 14 '22 Dropdown menu Copy link Hide Hi, interesting post, but I have a question, I’m developing a diary app, for iOS/iPadOS and also macOS/watchOS, but I’m uncertain if use Firebase or Supabase. My app let the end user’s to edit the note content, with textView text styles, like different colors, fonts, formats and also add images inside the text, but, can I use Firebase or Supabase? Have you some advice’s? Thanks, Nicolò Curioni iOS Developer Like comment: Like comment: 1 like Like Comment button Reply Collapse Expand Matthew Harris Matthew Harris Matthew Harris Follow Aspiring Ionic app developer Location Digital Nomad Work Developer at Self Employed Joined Jul 9, 2019 • Sep 3 '22 Dropdown menu Copy link Hide Yes you can store both easily. There is a limitation with the nosql firebase that each record can be a maximum of 1mb (I think thats the limit). That is a ton of text to allow per note but its worth considering. You can also split a document over multiple records with a bit of creative coding, if you do need to go beyond those extreme limits. If you want to learn more about strategies for nosql I would recommend looking up Fireship on YouTube who has some good videos. Like comment: Like comment: 1 like Like Comment button Reply Collapse Expand neonitus neonitus neonitus Follow Joined Aug 20, 2023 • Aug 20 '23 Dropdown menu Copy link Hide Hi, Thanks for the post. I however have a question about authentication. If my app uses social authentication, firebase offers only 50k MAU while the pro plan for Supabase offers 100K MAUs. Would you then prefer to use Supabase Auth and Firestore DB? How would you approach this problem where you are going to have a lot of users using the app(+100,000 per month) and you want the power of RDBMS because you want to build an analytical platform for your app and app transactions? Like comment: Like comment: 1 like Like Comment button Reply Collapse Expand codingjlu codingjlu codingjlu Follow Joined Jun 15, 2021 • May 29 '22 Dropdown menu Copy link Hide Thanks for the great article! I was searching this on Google because I wanted to see the pricing comparison, and you've covered that just well. Thanks again! Like comment: Like comment: 1 like Like Comment button Reply 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 Michael Wolf Hoffman Follow Location Salt Lake City, Utah, USA Work Software Engineer Joined Apr 30, 2020 More from Michael Wolf Hoffman Where to Publish Plugins, Add-ons, and Extensions for Software Engineers and Entrepreneurs # webdev # startup # saas # career How to Use React + Supabase Pt 2: Working with the Database # react # webdev # javascript # programming How To Use React + Supabase Pt 1: Setting Up a Project and Supabase Authentication # react # webdev # javascript # programming 💎 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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https://dev.to/adiatiayu/methods-vs-computed-in-vue-21mj#comment-1fkhm | Methods vs Computed in Vue - 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 Ayu Adiati Posted on Jun 25, 2021 Methods vs Computed in Vue # help # discuss # vue # codenewbie Hello 👋🏼, Lately I've been learning Vue. So today I learned about computed property. In my understanding (please correct me if I'm wrong), computed is the same as methods property, only it will be re-executed if data that are used within the property are changed. While methods property will be re-executed for any data changes within the page. In which condition is the best practice to use methods or computed ? Thank you in advance for any help 😊 Top comments (8) Subscribe Personal Trusted User Create template Templates let you quickly answer FAQs or store snippets for re-use. Submit Preview Dismiss Collapse Expand Drew Clements Drew Clements Drew Clements Follow Just a developer with more ideas and aspirations than time to explore them all! Location On the line Work Fullstack Engineer at Zillow Joined May 8, 2019 • Jun 25 '21 Dropdown menu Copy link Hide Another way to look at computed is that they can be used as dynamic data for every render. Methods are functions that can be called as normal JS functions, but computed properties will be “re-calculated” anytime some data changes in the component. Like comment: Like comment: 6 likes Like Comment button Reply Collapse Expand Ayu Adiati Ayu Adiati Ayu Adiati Follow 👩💻 Software Engineer | ✍🏼 Tech Blogger | ▶ Open Source Maintainer & Contributor | 👥 Community Management Location The Netherlands Joined Mar 16, 2019 • Jun 25 '21 Dropdown menu Copy link Hide Thanks, Drew! So computed is more like a method to update data to be dynamic? When would we want to use methods or computed? Like comment: Like comment: 3 likes Like Comment button Reply Collapse Expand Drew Clements Drew Clements Drew Clements Follow Just a developer with more ideas and aspirations than time to explore them all! Location On the line Work Fullstack Engineer at Zillow Joined May 8, 2019 • Jun 25 '21 Dropdown menu Copy link Hide Exactly! Another important thing to note is that computed properties are available the same as properties in your data store So data () { return { number : 1 } } Enter fullscreen mode Exit fullscreen mode is the same as computed : { number () { return 1 } } Enter fullscreen mode Exit fullscreen mode Both would be available with using this.number or {{ number }} But, if you ever needed number to update based on something else in the component, then the computed would do it auto-magically. Like comment: Like comment: 2 likes Like Thread Thread Ayu Adiati Ayu Adiati Ayu Adiati Follow 👩💻 Software Engineer | ✍🏼 Tech Blogger | ▶ Open Source Maintainer & Contributor | 👥 Community Management Location The Netherlands Joined Mar 16, 2019 • Jun 25 '21 Dropdown menu Copy link Hide Thank you, Drew!!! 😃 Like comment: Like comment: 1 like Like Comment button Reply Collapse Expand Sulivan Braga Sulivan Braga Sulivan Braga Follow Location São Paulo, Brasil Joined Jun 26, 2021 • Jun 26 '21 Dropdown menu Copy link Hide It’s already answered but to mention, you cannot send params on computed. Like comment: Like comment: 3 likes Like Comment button Reply Collapse Expand Ayu Adiati Ayu Adiati Ayu Adiati Follow 👩💻 Software Engineer | ✍🏼 Tech Blogger | ▶ Open Source Maintainer & Contributor | 👥 Community Management Location The Netherlands Joined Mar 16, 2019 • Jun 26 '21 Dropdown menu Copy link Hide Good to know this! Thank you, Sulivan 😃 Like comment: Like comment: 1 like Like Comment button Reply Collapse Expand Aashutosh Anand Tiwari Aashutosh Anand Tiwari Aashutosh Anand Tiwari Follow Reacting on react Location Broswers Education Graduated Work Learner at WFH Joined Aug 6, 2020 • Apr 19 '22 Dropdown menu Copy link Hide I think we can Like comment: Like comment: 1 like Like Comment button Reply Collapse Expand Tim Poisson Tim Poisson Tim Poisson Follow Joined Nov 8, 2019 • Jul 5 '21 Dropdown menu Copy link Hide Also should mention that Computed Properties are automatically cached while Methods are not. If you are running an 'expensive' operation, it is best to cache this data as a Computed Property or else the function will re-run everytime the page refreshes which creates unnecessary overhead. For larger applications Computed Properties are typically used in conjunction with Vuex to help access global application data as well. Like comment: Like comment: 1 like Like Comment button Reply 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 Ayu Adiati Follow 👩💻 Software Engineer | ✍🏼 Tech Blogger | ▶ Open Source Maintainer & Contributor | 👥 Community Management Location The Netherlands Joined Mar 16, 2019 More from Ayu Adiati Beyond Hacktoberfest: Building a True Open Source Journey # opensource # hacktoberfest # codenewbie # beginners My First Video Tutorials Contribution for Hacktoberfest # hacktoberfest # opensource # nocode # codenewbie Giving non-code contributions the recognition they deserve # hacktoberfest # opensource # nocode # 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. 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https://core.forem.com/jose_davidmuozalbir_b8#main-content | Jose david Muñoz albir - 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 Jose david Muñoz albir 404 bio not found Joined Joined on Dec 19, 2025 More info about @jose_davidmuozalbir_b8 Post 0 posts published Comment 1 comment written Tag 3 tags followed Want to connect with Jose david Muñoz albir? Create an account to connect with Jose david Muñoz albir. 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 | 2026-01-13T08:48:16 |
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https://dev.to/devteam/you-can-now-embed-cloud-run-deployments-directly-in-your-dev-posts-1jk8 | You can now embed Cloud Run deployments directly in your DEV posts! - 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 Ben Halpern for The DEV Team Posted on Dec 16, 2025 You can now embed Cloud Run deployments directly in your DEV posts! # cloud # news # devto # forem We're excited to announce that you can now showcase your Google AI projects with a dedicated Cloud Run embed right in your posts. For example, check out @simimwanza 's app from their challenge submission: Reverse Engineering Reality with Google AI : This is perfect for showing off your apps, interactive demos, and any other Cloud Run deployments you've built. The community can try out your projects without leaving DEV! How to Embed Cloud Run To embed your Cloud Run URL, all you have to do is use our standard embed syntax: {% embed your_cloud_run_url %} Enter fullscreen mode Exit fullscreen mode When embedding a Cloud Run deployment, we also recommend adding the following line to show that you’re from DEV (example for a gcloud command): gcloud run deploy my-awesome-app \ --source . \ --region us-central1 \ --no-allow-unauthenticated \ --labels dev-tutorial=blog-devcommunity2026 Enter fullscreen mode Exit fullscreen mode Now your live apps can be displayed for the community to interact with! Coming Soon: Google AI Studio Challenge We're currently working on a new Google AI Studio Challenge so you can take advantage of this new feature! Stay tuned for more details details. 😉 Happy building! Top comments (7) Subscribe Personal Trusted User Create template Templates let you quickly answer FAQs or store snippets for re-use. Submit Preview Dismiss Collapse Expand Vivian Jair Vivian Jair Vivian Jair Follow Hey there, I'm Vivian. I lead the Google AI x DEV partnership initiative. Location San Francisco Education University of Pennsylvania, Wharton School Work Product Marketing Manager Joined May 30, 2025 • Dec 16 '25 Dropdown menu Copy link Hide Can't wait to see all the great apps that everyone embeds! Like comment: Like comment: 6 likes Like Comment button Reply Collapse Expand Web Developer Hyper Web Developer Hyper Web Developer Hyper Follow "Having fun with IT technology" is my No.1 priority.🥳🎉 Let's enjoy and grow at the same time.🤝 #AI #ClaudeCode #Codex #Cursor #Cline #MCP #React #Nextjs #AWS #WebDev #FullStackDev Location Japan Joined Dec 27, 2024 • Dec 17 '25 Dropdown menu Copy link Hide Wow! Another new option to make our posts more creative and interesting!😆 Like comment: Like comment: 2 likes Like Comment button Reply Collapse Expand Glenn Trojan Glenn Trojan Glenn Trojan Follow Location around Joined Feb 5, 2025 • Dec 17 '25 Dropdown menu Copy link Hide Wicked Like comment: Like comment: 2 likes Like Comment button Reply Collapse Expand Vishal Verma Vishal Verma Vishal Verma Follow I am a professional Joined Dec 6, 2025 • Jan 10 Dropdown menu Copy link Hide I can't wait to see all the great apps that everyone badges. Like comment: Like comment: 2 likes Like Comment button Reply Collapse Expand Pascal Reitermann Pascal Reitermann Pascal Reitermann Follow DevOps Engineer with a passion for EDA and observability. Location Karlsruhe, Germany Education Bachelor of Science, Applied Computer Science Work DevOps Engineer at dmTECH Joined Dec 9, 2025 • Jan 9 Dropdown menu Copy link Hide That's awesome! Like comment: Like comment: 2 likes Like Comment button Reply Collapse Expand v. Splicer v. Splicer v. Splicer Follow nonhuman entity, possesed instigator, deepweb diy enthusiast... ai dominator... looking for new ways to express myself every day. creation/destruction. beauty in all things. Location charlotte, nc Education school of hard knocks Pronouns it/its Work despondent at Hidden Layer Media Joined Aug 6, 2024 • Jan 10 Dropdown menu Copy link Hide very cool about to utilize this feature for my portfolio submission. word. Like comment: Like comment: 2 likes Like Comment button Reply Collapse Expand Ashwin Mehta Ashwin Mehta Ashwin Mehta Follow Hello, I’m Ashwin Mehta—a data scientist and AI solutions engineer passionate about transforming complex data and advanced research into practical products. Location Patna , Bihar Education Amity University Patna Pronouns He/Him Work Google Student Ambassador Joined Dec 30, 2025 • Jan 4 Dropdown menu Copy link Hide Same, can't wait for further updates. Like comment: Like comment: 2 likes Like Comment button Reply 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 The DEV Team Follow The hardworking team behind DEV ❤️ Want to contribute to open source and help make the DEV community stronger? The code that powers DEV is called Forem and is freely available on GitHub. You're welcome to jump in! 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https://stackoverflow.co/teams/?utm_medium=referral&utm_source=survey&utm_campaign=dev-survey-2025&utm_content=teams-dropdown | Stack Internal – The trusted knowledge engine that powers people and AI (formerly Stack Overflow for Teams) - Stack Overflow Business Stack Internal Features Customers Services Security Pricing Login Try free 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 MCP Now available: Create a two-way connection with AI tools like Cursor and GitHub Copilot. Second guess less, create more with Stack Internal Always hunting for knowledge at work? Stack Internal collects, validates, and delivers trusted info, at the right time, in the right place, for your team of people (and AI). 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https://dev.to/thenjdevopsguy/kubernetes-ingress-vs-service-mesh-2ee2#whats-ingress | Kubernetes Ingress vs Service Mesh - 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 Michael Levan Posted on Jun 15, 2022 • Edited on Aug 6, 2025 Kubernetes Ingress vs Service Mesh # kubernetes # devops # cloud # git Networking in Kubernetes is no easy task. Whether you’re on the application side or the operations side, you need to think about networking. Whether it’s connectivity between clusters, control planes, and worker nodes, or connectivity between Kubernetes Services and Pods, it all becomes a task that needs a large amount of focus and effort. In this blog post, you’ll learn about what a service mesh is, what ingress is, and why you need both. What’s A Service Mesh When you deploy applications inside of Kubernetes, there are two primary ways that the apps are talking to each other: Service-to-Service communication Pod-to-Pod communication Pod-to-Pod communication isn’t exactly recommended because Pods are ephemeral, which means they aren’t permanent. They are designed to go down at any time and only if they’re part of a StatefulSet would they keep any type of unique identifier. However, Pods still need to be able to communicate with each other because microservices need to talk. Backends need to talk to frontends, middleware needs to talk to backends and frontends, etc… The next primary communication is Services. Services are the preferred method because a Service isn’t ephemeral and only gets deleted if specified by an engineer. Pods are able to connect to Services with Selectors (sometimes called Tags), so if a Pod goes down but the Selector in the Kubernetes Manifest that deployed the Pod doesn’t change, the new Pod will be connected to the Service. In short, a Service sits in front of Pods almost like a load balancer would (not to be confused with the LoadBalancer service type). Here’s the problem: all of this traffic is unencrypted by default. Pod-to-Pod communication, or as some people like to call it, East-West Traffic, and Service-to-Service is completely unencrypted. That means if for any reason an environment is compromised or you have some segregation concerns, there’s nothing out of the box that you can do. A Service Mesh handles a lot of that for you. A Service Mesh: Encrypts traffic between Services Helps with network latency troubleshooting Securely connects Kubernetes Services Observability for tracing and alerting The key piece here, aside from the encryption between services (using mTLS) is the network observability and routing implementations. As a small example, the following routing rule forwards traffic to /rooms via a delegate VirtualService object/kind named roompage . apiVersion: networking.istio.io/v1 kind: VirtualService metadata: name: hotebooking spec: hosts: - "hotelbooking.com" gateways: - hbgateway http: - match: - uri: prefix: "/rooms" delegate: name: roompage namespace: rooms Enter fullscreen mode Exit fullscreen mode You have full control over the "what and how" in terms of routing. What’s Ingress Outside of the need for secure communication between microservices, you need a way to interact with frontend apps. The typical way is with a load balancer that’s connected to a Service. You can also use a NodePort, but in the cloud world, you’ll mostly see load balancers being used. Here’s the problem; cloud load balancers are expensive literally and figuratively. You have to pay money for each cloud load balancer that you have. Having a few applications may not be a big deal, but what about if you have 50 or 100? Not to mention that you have to manage all of those cloud load balancers. If a Kubernetes Service disconnects from the load balancer for whatever reason, it’s your job to go in and fix it. With Kubernetes Ingress Controllers, the management and cost nightmare is abstracted from you. An Ingress Controller allows you to have: One load balancer Multiple applications (Kubernetes Services) pointing to it You can create one load balancer and have every Kubernetes Service point to it that's within the specific web application from a routing perspective. Then, you can access each Kubernetes Service on a different path. For example, below is an Ingress Spec that points to a Kubernetes Service called nginxservice and outputs it on the path called /nginxappa apiVersion : networking . k8s . io / v1 kind : Ingress metadata : name : ingress - nginxservice - a spec : ingressClassName : nginx - servicea rules : - host : localhost http : paths : - path : / nginxappa pathType : Prefix backend : service : name : nginxservice port : number : 8080 Enter fullscreen mode Exit fullscreen mode Ingress Controllers are like an Nginx Reverse Proxy. Do You Need Both? My take on it is that you need both. Here’s why: They’re both doing two different jobs. I always like to use the hammer analogy. If I need to hammer a nail, I can use the handle to slam the nail in and eventually it’ll work, but why would I do that if I can use the proper end of the hammer? An Ingress Controller is used to: Make load balancing apps easier A Service Mesh is used to: Secure communication between apps Help out with Kubernetes networking Now, here’s the kicker; there are tools that do both. For example, Istio Ingress is an Ingress Controller, but also has the capability of secure gateways using mTLS. If you’re using one of those tools, great. Just make sure that it handles both communication and security for you in the way that you’re expecting. The recommendation still is to use the proper tool for the job. Both Service Mesh and Ingress are incredibly important, especially as your microservice environment grows. Popular Ingress Controllers and Service Mesh Platforms Below is a list of Ingress Controllers and Service Mesh that are popular in today’s cloud-native world. For Service Mesh: https://istio.io/latest/about/service-mesh/ For Ingress Controllers: https://kubernetes.github.io/ingress-nginx/ https://doc.traefik.io/traefik/providers/kubernetes-ingress/ https://github.com/Kong/kubernetes-ingress-controller#readme https://istio.io/latest/docs/tasks/traffic-management/ingress/ If you want to check out how to get started with the Istio, check out my blog post on it here . Top comments (5) Subscribe Personal Trusted User Create template Templates let you quickly answer FAQs or store snippets for re-use. Submit Preview Dismiss Collapse Expand trylvis trylvis trylvis Follow Work Infra / Ops / DevOps Engineer Joined Jun 16, 2022 • Jun 16 '22 Dropdown menu Copy link Hide Nice summary! Like comment: Like comment: 2 likes Like Comment button Reply Collapse Expand Michael Levan Michael Levan Michael Levan Follow Building High-Performing Agentic Environments | CNCF Ambassador | Microsoft MVP (Azure) | AWS Community Builder | Published Author & Public Speaker Location North New Jersey Joined Feb 8, 2020 • Jun 17 '22 Dropdown menu Copy link Hide Thank you! I'm happy that you enjoyed it. Like comment: Like comment: 3 likes Like Comment button Reply Collapse Expand Jan Jurák Jan Jurák Jan Jurák Follow Joined Apr 20, 2021 • Jan 4 '25 Dropdown menu Copy link Hide thank you for introduction into Like comment: Like comment: 1 like Like Comment button Reply Collapse Expand heroes1412 heroes1412 heroes1412 Follow Joined Oct 7, 2022 • Oct 7 '22 Dropdown menu Copy link Hide Your article is very good and easy to understand. But how about API Gateway, i see ingress controller can handle API gateway task. what diffenrent? Like comment: Like comment: 2 likes Like Comment button Reply Collapse Expand Michael Levan Michael Levan Michael Levan Follow Building High-Performing Agentic Environments | CNCF Ambassador | Microsoft MVP (Azure) | AWS Community Builder | Published Author & Public Speaker Location North New Jersey Joined Feb 8, 2020 • Oct 7 '22 Dropdown menu Copy link Hide I would say the biggest two differences are 1) Ingress Controllers are a Kubernetes Controller in itself, so it's handled in a declarative fashion 2) (correct me if I'm wrong here about API Gateways please) API Gateways are typically an intermediary to route traffic between services. Sort of like a "middle ground". Where-as the ingress controllers are more about handling frontend app traffic. Like comment: Like comment: 4 likes Like Comment button Reply 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 Michael Levan Follow Building High-Performing Agentic Environments | CNCF Ambassador | Microsoft MVP (Azure) | AWS Community Builder | Published Author & Public Speaker Location North New Jersey Joined Feb 8, 2020 More from Michael Levan Running Any AI Agent on Kubernetes: Step-by-Step # ai # programming # kubernetes # cloud Context-Aware Networking & Runtimes: Agentic End-To-End # ai # kubernetes # programming # cloud Security Holes in MCP Servers and How To Plug Them # programming # ai # kubernetes # docker 💎 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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https://stackoverflow.blog/newsletter/ | The Overflow - 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. The Overflow A newsletter by developers, for developers, curated by Cassidy Williams and the Stack Overflow team. Every week, we’ll share a collection of great questions from our community, news and articles from our blog, and awesome links from around the web. Get the next issue straight to your inbox Subscribe January 7, 2026 Issue 311: Your line on information in the new year Can you believe you haven't read an Overflow since last year? Fine, fine, we'll keep our corny jokes about "not showering since last year" in 2025. We're closing out our top ten blog countdown with five more stories for you on everything from documentation to vibe coding to the Developer Survey. One of the biggest reads of the year for our community was a blog written by our CEO Prashanth Chandrasekar and our CPTO Jody Bailey on this new era at Stack Overflow, which feels particularly fitting for all the "new year, new me" posts you're probably seeing on social media. You can check that one out on the blog—plus other top posts from the year like a technical look at how we built Question Assist and why documents are a software architect's best friend. Speaking of new year, new era, new you, if you're looking to start your 2026 off right, we've got everything you need. Want to become a better developer? Check out our conversation with LaunchDarkly's Tom Totenberg about the software corners you should definitely not be cutting. Want to build a better community? We spoke with MIT and Stanford professor Alex "Sandy" Pentland on how you can use AI to do just that. Want to be disaster prepared or have fun with web development again? We've got two stories from the web that get you started on all such self-improvement endeavors. And what list of New Year's resolutions would be complete without "get smarter" on it? Our bevy of questions and answers is the best place to start. Where else could you learn about the safety of decade-old honey, exploding synthetic gloves, or the fastest way to make thousands of files at once so you can bulk delete them? Ah, only in the Overflow. All of that and much more is in the links below. December 31, 2025 Issue 310: The top ten Stack Overflow blogs of 2025 What luck for our 310 issue to land on the 31st! If you're practicing your numbers in preparation for the New Years' countdown, we're right there with you. We're counting down the top ten Stack Overflow blogs of 2025, and this week we've got the first five for your holiday reading pleasure. From popping the AI bubble to the ick you get from slop to the losing employment battle Gen Z is having against bots, this year's blogs dug deep into the economic, cultural, and technical shifts caused by AI in 2025. And don't worry, we wrote about stuff besides AI. Rounding out the first five of our countdown are the Great Unracking of our last physical datacenter, and a piece on making your codebase better by making your code coverage worse. If you're in more of a listening mood, you're in luck because the pod stops for no holiday. We're joined by former Stack Overflow board member Anil Dash for a conversation on how AI is normal and should be treated as such. We also spoke with Dan Ciruli from Nutanix about the delicate dance between VMs and Kubernetes in cloud-native environments. From around the web, we've got a piece on when we can expect quantum computing to be scalable (apparently it's imminent), one dev's reflection on a year of vibe coding, plus the disproving of the old developer proverb, "If you're as clever as you can be when you write your code, how will you ever debug it?" Wait, is that 2026 I see on the horizon? Let's countdown the end of this issue the way we always do—with some questions. 5...What would Aristotle say about Cliff's Notes? 4...Will people believe me if I say the reason I don't understand advanced math is because its notation is not standardized? 3...What does "technically sound" mean? 2...Why won't my pirated disc of Brat work on my mom's 1999 CD player? 1...Happy New Year! Until next year, we have all those answers and so much more down in the links below. December 24, 2025 Issue 309: Your year Stacked Don't let all those year in-review posts on your social media feeds fool you—we've got plenty of new stories for you this week. We just got back from AWS re:Invent, and we've got the skinny on all the new tech announced. Two podcasts, two different takes. First, our very own CEO Prashanth Chandrasekar and Director of Data Science Michael Foree joined us to discuss everything they heard and saw at the event. Corey Quinn, Chief Cloud Economist at Duckbill and snark king, also sat down with us to debrief on all things re:Invent, from the new technology to the restaurants. If you're more of a reader than a listener, we have a full recap for you on the blog of everything you'd want to know from re:Invent 2025. Fine, we won't be a Scrooge McDuck...we'll get into the wrapped spirit too. Let's take a walk down memory lane—maybe with Your 2025 Stacked, our fun year-in-review for our Stack Internal customers. Not your style? No worries. From the web, we've got a state of AI coding report for you, so you can look back and think about all the hours you saved (or more likely wasted) with coding bots. If you want to take it even further back, read about how they're recovering the lost files of Sega Channel. Maybe you'd even be interested in the history of your favorite default font, Times New Roman. If that's too much nostalgia for you, let's wrap this up by bringing you back to 2025. No Overflow could be complete without a few questions and a few answers, and this week we've even got the top ten Q&As of the year from our sites. Plus, we've plenty more—everything from melting big pieces of ice to ritualized workplace confessions and mayo disasters. It's all down below for you, wrapped and ready to go. December 17, 2025 Issue 308: Software development time wasters We've got a jampacked week for you of stories, so let's skip the small talk and get right to it. Coming off Microsoft Ignite, we've got a look into how the enterprise is reframing their AI initiatives to be slower, steadier, and more focused on their market fit. If you didn't know, we debuted our rebrand and new MCP Server at Ignite, and if you're curious how that's all going, be sure to check out the interview we did with HP's Distinguished Technologist Evan Scheessele on how they're using our MCP Server in their SDLC experiments. We also had a convo with Salesforce's Chief Scientist and Head of AI Silvio Savarese on how they're simulating terrible phone calls to make customer service AI agents better. Okay, maybe we can have a little small talk. Tell us, what do you hate about your job? We can guess...is it documentation? If it is, you're not alone—that's exactly what the data showed us in our latest Stack Overflow Knows survey. But maybe you love documentation and hate code reviews. If so, we have a pod with Macroscope's Kayvon Beykpour on how AI can ease some of your code review troubles. Maybe all of our troubles would be erased if we could just get those pesky interfaces right; we have an episode with Wesley Yu from Metalab on all things interfaces (which are everything, btw). All right, we're done with small talk now. Let's have a deep discussion about the questions that matter the most. Are wooden cutting boards more sanitary than plastic ones? What would it take to be a world-famous keynote speaker in software? Why do programs and languages have such silly names? Is your imposter syndrome telling the truth? As always, we've got all of those answers for you in the links below. December 10, 2025 Issue 307: New season, new agents When fall turns to winter, it can often seem like everything around you is taking their own subtle shifts. And just like how the weather changes and the leaves start to fall, the world of technology is no different. On the blog, our CEO Prashanth Chandrasekar writes about one of those shifts in technology—how success is measured in a post Gen-AI world. XX And in a post Gen-AI world, the shift in technology seems to feel distinctly agentic. Guillaume De Saint Marc from Outshift by Cisco joined us on the pod to talk about the future of multi-agent frameworks and what kind of infrastructure needs to be built for it. Speaking of agent infrastructure, on Leaders of Code, our very own Ben Matthews sat down with Postman's Abhinav Asthana to talk APIs in the AI era. Plus, this week, we're introducing our own agent—AI Assist, a new way to access the 17 years of expert knowledge living on Stack Overflow. XX Even as the seasons change, some things remain true—traditional RSS feeds are boring, people love free movies, and code is only as good as the humans who are working on it. We have all three of those stories around the web for you this week, plus one on why finance bros should now fear AI taking their jobs like the rest of us. Oh, and another truth that remains true: robots are pretty cool. We were joined by Viam's VP of Engineering, Simone Kalmakis, to explore how abstraction is making those very cool robots attainable for the everyday person. XX As the leaves fall and a chill starts to bite your nose, you're probably asking yourself a lot of questions right now like...what model computer appeared in both Star Trek and Serenity? Or maybe the winter air is making you wonder if the word "goodly" is real. Maybe you're even thinking about quitting your job, even if its only been a month. Well, you won't believe the coincidence—we've got all of those answers for you for you this week. Check them out, and everything else, in the links below. December 3, 2025 Issue 306: The crop circles have code So, guess we're officially in the post-GenAI world, huh? If you're getting the feeling that the tech is just getting stronger, faster, and better, you're not alone—even the plants are starting to feel it. On the pod, Darryl Lyons from Rainstick joined us to talk about the advancements in AgTech and how they're using bioelectricity to literally make it rain...and enhance agricultural productivity. But it's not all daisies and rainbows in the tech world. We also had Mithril's Jared Quincy Davis on the show to discuss the GPU shortage (or lack thereof), and how the economics of GPUs are going to need to change in the age of AI. Besides getting your GPUs right, there are lots of things you're probably doing wrong with your AI strategy. Don't worry, we have a piece on the blog for you about what you need for enterprise success in the post-GenAI world. Hopefully that will calm some of the grief you feel when you read about how trillions are being spent on software projects that are still failing. Sometimes, the best way to get things done is just sitting down and doing it, as per another story from the web this week on how one dev team fixed 189 bugs in one week. And doesn't optimization, efficiency, and AI just make you hungry? If so, we have an EGGROLL for you—an Evolution Guided General Optimization via Low-rank Learning ML algorithm to be exact. If that ML algorithm doesn't satiate your hunger, maybe what you have is an appetite for knowledge. Even in a post-GenAI world, there are some questions only users on Stack can answer. For instance, is it illegal for chatbots to pretend to be human? Did you like Klondike Solitaire before it was cool? Will someone please help this poor person delete these files off their USB? We have those answers for you—and so much more—down in the links below. November 26, 2025 Issue 305: New hair, new clothes, still Stack Overflow It's been an eventful week at Stack Overflow. If you haven't heard yet, we're unifying all our different selves into a Voltron of knowledge. At Microsoft Ignite, we showcased the next generation of our enterprise product, now named Stack Internal. We won't say too much about it in this here newsletter intro, but if you want all the juicy details, we've got them for you on the blog. That's not the only new thing happening, either. Check out our Community Products update to hear about what new features we've got cooking for the public platform. XX Our time at Ignite showed us that AI and agents are here to stay, so we've got two pods for you this week on just that topic. Retool's David Hsu sat down with us to talk guardrails and high-level programming primitives for AI coding assistants, so that no data will be harmed the next time your nontechnical coworker loads up a vibe coding bot. We also had Assaf Elovic from monday.com on the pod to discuss how they create agents that users actually adopt. Spoiler alert: they do it by focusing on user experience. XX Maybe our new rebrand has our head a little big this week, so enough about us. We've also got plenty links from around the web, ranging from a homemade synthesizer toy to a startup game where you can finally be the rich investor throwing around your money. And what would an Overflow newsletter be without the gift of knowledge? If you're curious about three yolk eggs, nuking barrels of oil, or lighting farts on fire, you'll love this week's answers. All of those—and much more—are ready for your curious eyes down below. November 19, 2025 Issue 304: Are you ten times more productive yet? Feeling like AI makes more work than you expected? You're not alone. If your promised 10x productivity has not yet been realized, that's okay. We have the stories you need this week to help you get just a little bit closer. Secure Code Warrior's CTO Matias Madou was on the pod to preach the good word on the lost art of critical thinking, and what developer training will look like in the age of AI. Benjamin Klieger from Groq also joined us to talk AI agent infrastructure, so your agents can be faster at making you faster. We've also got a Leaders of Code episode for you with the VP of Platform Engineering from JP Morgan Chase & Co., Ramprasad Rai, on how enterprises are balancing AI productivity with compliance, so your 10x productivity doesn't get you into any legal battles. In a world of evolving technology, the people of the internet are evolving along with it. We have a story on web programs becoming more needy, a brutal(ist) look at programming languages, and one dev's insurmountable challenge to humanoid robots: be able to use a doggy bag. So, let's just circle back...are you ten times more productive? While you ponder the answer to that one, we have plenty of other questions for you. How old are trees? How deep can Leet speak go? Can you cancel that Venmo request you've been avoiding if the person owes you money in return—legally speaking? Those answers and more in the links below. November 12, 2025 Issue 303: To abstract or not to abstract To abstract or not to abstract? That's the question on our minds this week. Whether you're looking for more transparency or just trying to get your code out the door, we have plenty of stories for you. On the pod, we've got a chat with Graphite's Greg Foster on how to make your AI-generated code more secure. Spoiler: it's by giving humans more context and visibility into the code. We also spoke to Nic Benders from New Relic on the complexity crisis, and how developers don't just need observability, they need understandability. And if your feelings about abstraction and AI aren't complicated enough, make sure you read our blog on how AI is abstracting human creativity, written by our very own Eira May. All this talk about hidden layers has us wanting to be more transparent, too. We're sharing what's new on Stack Overflow for November—from voting, to anti-spam, to open-ended questions—in our first ever monthly update blog. Being a software developer can sometimes make you feel like you're in The X-Files, which is why one developer from the web is calling software the UFOlogy of engineering, and another is worrying about the death of frameworks because of LLMs' abstraction. But if you're ever worried about too much opacity, you can always go old-school and change your programming language; we have at least one dev in this week's issue who really thinks you should use OCaml if you do. But one thing hasn't changed: if you don't ask, you'll never know. So we have plenty of questions and answers this week that should give you a little clarity into the abstract. For instance: if something happens and I don't see it, did it really happen? Is a bot's Spotify Wrapped less valid than mine? Are the lyrics, "What if God was one of us?" still applicable if God has no birthday? Unabstract those abstracts in the links below. November 5, 2025 Issue 302: Get your specs right Developers get to use a lot of tools that both hurt and help their productivity. But over here at Stack Overflow, we think AI agents might be some of the best and brightest of them all. On the blog, Ryan talks about how agents are poised to become the best tool for developers, because in his words: One tool is better than ten. On the pod, we welcome back Deepak Singh from AWS to talk Kiro, the spec-driven coding agent his team is building, and how he imagines the work of developers evolving. But don't let the tools get you too excited about kicking your feet up at your dev job—Tom Moor from Linear joined us to discuss the importance of context in agent effectiveness, and how junior devs can shape up for this new era of tech. Speaking of junior devs, our CEO Prashanth Chandrasekar has an upcoming convo with OpenAI about learning to code in the age of AI, and we have the details on that one for you on the blog. Whether you're a junior dev or one with years of experience, you could always build out your skillset a little, so we've got a whole zoo of mini programming languages to help you polish up your understanding. We've also got stories on introspective bots, and how to keep your own introspectiveness away from them through a humans-only public license. If you're feeling stuck in the Matrix right now, don't worry—be sure to check out how a mathematical proof debunks any fear you might have about being stuck in a simulation. But could that mathematical proof just be part of the Matrix anyway? One user on our math site is wondering what mathematical proofs were developed using LLMs We've got that answer for you and more—about backwards wheels, loud electric cars, and Gandalf's amnesia—ready for you in the links below. October 29, 2025 Issue 301: The agents are here. If you're keeping your ear to the beat of AI's robotic heart like we are, you're probably noticing that agents are everywhere now. This week's newsletter is not different—we've got plenty of stories for you on the newest AI hype. John Dickerson, CEO of Mozilla.ai, joins us on the pod to talk about the role of open source in the future of AI agents, including the challenges OS communities are facing in the age of AI. If you're looking to throw away your runbook, we've got another conversation with Spiros Xanthos, CEO and founder of Resolve AI, all about how AI agents are reducing the work of incident management and troubleshooting for developers. Plus, on the blog, find out what it takes to build out agentic virtual assistants on top of decades of ebike manuals." If you're saying, "Enough about agents, what else is going on?", don't worry, we have plenty of other stories for you. On Leaders of Code, our very own Natalie Rotnov dives into the 2025 Developer Survey and what the results mean for tech leaders. From the web, we've just learned that LLMs—much like your teenager—can get brain rot. But don't worry, if your AI starts spamming memes you don't understand, you can just go back to working on a 1980s ZX Spectrum. We have that story from the internet, plus a story about building software for a different kind of rot, ready for you in this issue. And just to prove that agents aren't the only things that people are talking about, we have plenty of questions and answers for you. Wondering what is and isn't an indie game? Mostly, it's the vibes. How do you extend your WiFi through an old house? We hate to tell you this, but you probably need to use an Ethernet cable. How do you keep your kids from biking straight into oncoming traffic? Like any parent, you just have to try your best. We have those answers and more in the links below. October 22, 2025 Issue 300: This...is... STACK OVERFLOW! It's Issue #300 and we're keeping it Stack-Overflow-classic by answering all your questions. How can AI agents make everyday life easier? We got that answer for you on the pod when we chatted with Yutori's Dhruv Batra about building proactive AI agents. How do you achieve digital sovereignty? The answer: start by building your own cloud. Check out our conversation with Andrei Kvapil from Cozystack to hear how open-source has made that possible. Is someone going to attack my JS code? Probably, but we have a blog on ten ways you can keep your precious frontend secure. But that's not all. We've got the story on how a pesky dot in Turkish broke Kotlin, and the tale of a dev who's creating one million nodes in a single Kubernetes cluster. Elsewhere on the web, you won't believe this one weird trick for creating a beautiful UI (spoiler: it's a spreadsheet). Plus, if you've ever said, "You just don't get it," when arguing with someone about AI, we have a piece for you. But would we be Stack Overflow if we didn't bring you the answers to questions you never thought to ask? Should you feel bad every time you misspell "accomodate" or is it actually the dictionary's problem? Is the shady letter from your bank legit and should you send them Bitcoin to make it right? Is it a threat when your mom says she "loves you to bits"? Just like #1 through #299, Issue #300 is overflowing (get it?) with answers for you down in the links below. October 15, 2025 Issue 299: The LLMs have eyes everywhere Would you let the fox guard the henhouse if it meant getting that promised 10x productivity? If so, this week's newsletter is for you. On the blog, we're thinking about how we can give LLMs a jury of their peers by making other LLMs moderate for them. If the ideas of watchers watching watchers doesn't sit quite right for your AppSec sensibilities, be sure to check out our pod with Endor Labs CTO Dimitri Stiliadis on how cybersecurity is keeping up with AI use cases. Then you can give the history of LLMs a read in our links section below. XX Once you're done letting your machines run wild by checking and balancing themselves, we have an episode with Evan You, the creator of Vue.js and Vite, all about build tools in web development and the future of Vite. On our own frontend, we're giving comments a brand new look across Stack Overflow, so let your voice be heard and check out our updates on the blog. XX And as always, we have questions for you, with all the answers. How bad is it to lie and not show up at your job? How much of a benevolent dictator do open-source founders need to be? Crazy weather lately, right? Plus, we're bringing your stories on self-hosting, the second circle of vibe coding hell, and the parallel coding lifestyle. All those and more are down below, ready for your eyes. October 8, 2025 Issue 298: One call, and your API is there Why work harder when you could work smarter? That's probably what your API is thinking right now. And if you're of one mind with your API, you're probably thinking about the MCP protocol too. On the pod, we've got two guests who know all about APIs in the AI world. Marco Palladino, CTO of Kong, joins us to talk AI agents and API consumption, and how the agentic space is ripe for the picking for businesses. Plus, we have Merge's co-founder and CTO, Gil Feig, on the pod to explore how they're turning third-party APIs into a single call. XX So your API has reached singularity. Now what? Well you better make sure your AI agents are in order. Ryan J. Salva, Senior Director of Product at Google Developer Experiences, shared the answers for getting documentation and AI workflows right when he joined us for Leaders of Code. And you know how they say your AI is only as good as your data? The newest release for Stack Overflow for Teams is making sure your knowledge is as tidy as it needs to be. XX With all this talk of all-powerful APIs and autonomous AIs, let's not forget they're only as good as the human creativity that builds them. We've got some really creative humans from across the web for you, like one Minecraft player who built ChatGPT out of blocks, and the story of how the oh-so creative phishing scammers are using routers to annoy you with spam texts. Plus we have some unproven physics theories, rocket science, and the not so unique but deeply human experience of wanting to get a PhD. All those stories and more in the links below. October 1, 2025 Issue 297: Making your dev life easier Ah, the life of the developer. It's never quite easy, is it? But this week, we're looking at the ways your world might be incrementally improved. On the pod, Pia Nilsson from Spotify's Backstage joined us to talk about what makes their open-source IDP so ideal for developers. Jeff Hollan from Snowflake shared how they went from a database to an AI platform, and how their data marketplace is making AI development easier. And if you'd like to be reminded how hard things used to be, we've got the history of software development on the blog from AWS' Darko Mesaroš, looking back as far as 70 years to how development has changed through the years. But nothing is easy in life, right? For instance, math is hard, and some are wondering if life is a form of computation. We've got that story for you from the web, plus the tales of two beginners trying to break into software development—one who can't read technical tutorials, and one who can't get an entry-level job with no experience. And we have one of the hardest things of all for you too...a set of IKEA instructions (although it's a pretty good medium to visualize quicksort, unlike when you're trying to build a desk.) So in conclusion? The life of a developer may not be so easy, but we made finding some more interesting tales and answers from around the web easy for you. If you're curious about Leonardo da Vinci, becoming first author, or Jack Swigert's thought processes, we have all those answers from users. We've even made it easy for you to add a website to your vape, if that's something you're into. That one's easy access for you in the links below. September 24, 2025 Issue 296: MCP in the CRM Are you ready to get your acronyms on? On the podcast, we've got two talks that tackle three terse terms. First up, double your acronymic pleasure as Ryan chats with Karen Ng of Hubspot about implementing an MCP server for a CRM. Next up, look Ma, no head! Ryan welcomes Sebastian Gierlinger to discuss where a headless CMS fits into a componentized and service-oriented world. If you want to learn more about those acronyms, check out those pods. XX If you want to learn some other stuff, we've got you there. Heck, all you collegiate types can learn a lot from our site resources, including new coding challenges (but only if you want some extra credit). For funzies, learn what happens to material sciences once energy constraints aren't an issue. If computer history is more your thing, learn about the order of punctuation within ASCII (another acronym). XX On top of all that, we have a meadow of juicy links for grazing. Need a way to prank your IT department? Is AI making the world look WEIRD? Could open-source be used for good? One click gets you the answers below. September 17, 2025 Issue 295: AI vs. Gen Z AI has changed a lot in the software engineering world. On our Leaders of Code podcast, Peter O’Connor, our Director of Platform Engineering, talks with Ryan J. Salva, Senior Director of Product at Google, Developer Experiences about how AI is changing dev teams and experiences. On the blog, we explore how AI has changed the software engineer pathway for Gen Z. And on the podcast, we talk to Geraint North, AI and developer platforms fellow at Arm, about how AI is changing their chip designs for mobile. XX There's also a lot of changes happening in how we communicate on and with the internet. We're adapting to this new reality by adding a chat interface to our public knowledge base—hear from the folks who built it. Some websites are communicating how they should be compensated for AI access using licenses. One questioner wonders how they can prevent players from communicating outside of the game. XX But variety is the spice of life, and the rest of this newsletter gets spicy. Is brute force better than an efficient solution with overhead? What's dampening the humanoid robot hype (besides terminators, of course)? And what happens when you let songs mate? September 10, 2025 Issue 294: Class is back in session with Prof. Stack You must have hit 88mph in your DeLorean, because this week we're taking you back. And by "back" we mean back to school. Whether you or someone in your life is learning to code, we've got everything you'll need for back to school ready for you on the blog. We aren't sending you back alone though. Our very own Stack Overflow developers are joining you, and they have plenty of tips and tricks to share for student developers. Plus, we asked Jeffrey van Gogh from the Kotlin Foundation to go back in time on the pod to tell us all about the evolution of the Kotlin language and how it goes beyond just Android. XX Great Scott! Those aren't the only blasts from the past we have for you this issue. From the web, we have a look back on original home computers and ye olde robots from history. Claude Code is getting in on the nostalgia too—we have a story on resurrecting old QIC-80 tapes using AI. But don't get too trusting of AI, now. We've got a question from the gaming site on double-crossing quest givers. Learn from them and you might keep yourself from getting Ex Machina'd. Speaking of fighting AI overlords, we've also got a story from the web on how one tech writer is "poisoning the well" of his article data. XX Alright, get into the DeLorean, it's time to go back to the future...or at least the present. Once you get those 1.21 gigawatts of lightning on yourself, be sure to check out our pod episode with Kylan Gibbs from Inworld on implementing AI for consumer goods like gaming. Plus, there's no time like the present to ponder the existence of free will, if cats would be our natural predators if we were five-inches tall, and if a working clock that is occasionally wrong is really the opposite of a broken clock, metaphorically speaking. We've got the answers for you, here and now, down in the links below. September 3, 2025 Issue 293: Write the code you want to see in the world This week, we're talking a lot about open-source, and remembering what MJ said—if you want to make the world a better place, take a look at some open-source code and make that...CHANGE! We've got two open-source founders on the pod this week. We're joined by the creator of Svelte, Rich Harris, to talk about web frameworks and their dirty little secrets. Plus, the creator of NumPy and SciPy, Travis Oliphant, also sat down with us to chat about the development of Python as a data science tool. And if these two convos don't have you itching to join in on the open-source fun, we have a story from the web about the millions of one-person open-source projects in the world that will surely light a fire under you. XX And we're looking to be the change we want to see, too. On the blog, we shared how we're making a better future for our communities with part one of how we moved our public sites to the cloud. And for a little inspiration, we've also got a pod episode with Darko Mesaroš, Principal Developer Advocate at AWS, about the history of technologies and breakthroughs that made software development more powerful. And if you're a leader thinking about making that change on your teams, we've got a blog about the power of continuous learning at work. XX Looking for more? We've got everything you could want, like stories from the web about German Strings and uncertainty, or questions on metaphysics and orange sharks. Links are all down below. August 27, 2025 Issue 292: It's a bird! It's a plane! It's AI! We're keeping it light this week...and by light, we mean we're pondering our existence and thinking about AI defense robots. That's light in a sort of "light as air" way, right? On the pod Nathan Michael, CTO at Shield AI, answered our burning questions, like if they're building terminators for the government. We've also got Tuhin Srivastava from Baseten on the pod to share with us about how AI is transforming the GPU game. If either of those have you worrying a bit about the future, maybe it'd be a good time to hop over to our Philosophy sites to read the answer to this questions: Why is life considered worth preserving? XX Okay, we'll lighten up. If you're thinking about the future in a more career-oriented way, we've got a blog piece for you on how great architects keep their ideas in order through documents. Plus, Morgan Stanley is thinking about the future as a chance to upskill their people through experiential learning, as shared with us by Senior Learning Specialist Christina Dacauaziliqua on Leaders of Code. And at the very least, the future is bright here at Stack Overflow—our latest research roadmap outlines how we're keeping our community strong this fall. XX See, we can see the light at the end of the tunnel. It's like discovering the alternate ending to our favorite princess movie wasn't made up in our head, like one user did on the Movies site. Even a NEET of 15 years can find hope for fruitful employment, like another user did on the Workplace site. We've even got busy beaver hunters still trying to find that infinitely large sixth number, even if it would be impossible to write down. And if you're still feeling a bit pessimistic, just know that every bubble will pop, and you can always buy a burner phone. Both those stories, and the rest of them, are down in the links below. August 20, 2025 Issue 291: Do you have a moment to chat about Chat? This week, we've got quite a few interesting chats for you—and no, we don't just mean GPT-5. Chat on Stack Overflow is getting a big revamp, and we're sharing the first look of what's to come. On the pod, Wenjing Zhang and Caleb Johnson from LinkedIn's engineering teams chatted with us about semantic search and AI for job seekers. We're fans of Vue.js over here; all our marketing sites use it. For the Vue-heads like us out there, be sure to give our chat with Evan You about the future of Vue a listen. XX If you're not tired of reading the word "chat" yet, we've got a story from the web on parasocial relationships and how they affected the GPT-5 update. Speaking of AI updates, they've got us wondering: is Claude going to be smarter than us soon? We've got a link covering the IQ scores for different AI models, so if you're curious, you can see how you rank. But don't worry, even if the bots got into MENSA before you, we've got another piece to remind you that you're still funnier than them, and isn't that what really matters? XX If the IQ of your favorite LLM has you motivated to get your knowledge up, we've got plenty of factoids and answers for you this week. We'd like to see a bot come up with a creative answer for why there was a child at the Jurassic Park dig site or think of something really funny to laser engrave on a spaceship. Learn about both and more at the links below before AI gets there first. August 13, 2025 Issue 290: Can you feel the vibes tonight? Let's address the elephant in the room: yes, vibe coding is happening, and there's not much we can do to stop it. Wherever you land on the optimist-pessimist spectrum for AI-generated code, we've got stories for you. Optimist Quinn Slack from Sourcegraph joined the pod to talk AI coding in enterprise environments and how he imagines these tools are going to change the software engineering lifecycle. If you're looking for the downer side of the spectrum, read about the misadventures of the worst coder on our team, who tried to build something purely off vibes, only for it to be a mess of security issues. Don't worry, no data was hurt in the making of her app. XX If you're yearning for the early days of computers, when vibe coding was just a sci-fi dream, check out our pod with early adopter of Python and developer advocate Paul Everitt, who dives into the history of Python and what makes its community special. Then, go even further back in time and read a story from the web on the (surprisingly spicy) history of teletext around the world. If that cures your nostalgia, you can come back to the present and figure out with the rest of us how to fight AI slop...with more AI slop, probably. XX But if you need a break from thinking about the past and future of the internet, that's all right too. We've always got helpful answers for you. Why do your dishes smell so bad? Who should you ask to help you move this weekend, your taller or shorter friends? Do you sound exciting or neurotic when you add twenty exclamation points to the end of your paragraph?!!!! It's all covered in the links below. August 6, 2025 Issue 289: We asked, you answered It's that time of year again: the results of our 2025 Developer Survey are live. If you were taking bets with your friends on what the top programming languages would be this year, it's time to go see if you're a winner. Or, if you're more of an auditory learner, we spoke with Erin Yepis, our Senior Analyst, about all the juiciest bits from this year's results. XX Got your winnings in hand? Good, because we've got more for you. Mahir Yavuz, Senior Director of Engineering at Etsy, joined the podcast to talk the unique challenges of their marketplace. On Leaders of Code, Anirudh Kaul and Paul Petersen from U.S. Bank sat down with our very own Jody Bailey to dive into how traditional institutions like banks are navigating this new world of AI technology. And on the blog, we've got a story on imposter syndrome and AI usage, just in case those big bucks you just won from your bet is making that flare up for you. XX And of course, we've got plenty of tales, oddities, and answers from around the internet. Have you seen the video of someone saving a PNG image to a bird, or the story on creating digital fireflies at home? Elsewhere, there's a windy saga of a person who feared he was automating himself out of a job, but was eventually promoted to CTO. He should probably talk about job security with the author of one of our other links, who got hired by a company after he was unable to submit a PR just so he could fix it himself. Check them all out below. July 30, 2025 Issue 288: Cowboys and heroes of developments Which will you be? The good news is we've got ways for you to be both. We don't mind being like Smokey Bear this week by saying, "Only you can stop climate change...through more efficient code." Ryan Panchadsaram, co-author of Speed and Scale, is on the pod to share ways developers can help save the world by lowering emissions. If you're feeling more like a cowboy, though, Confluent's AI Entrepreneur in Residence Sean Falconer dove into the wild west of AI standards with us. Or if you're looking to be a hero on your platform team, we've also got a story on continuous discovery, the superpower of platform engineering. But if you're not feeling like hopping on a horse or saving the universe, we still have plenty for you to dive into, from big numbers to type systems to touch screens. We've got stories on why Legos are better for kids than iPads, and why humans are better for writing than LLMs. Plus, you can read about how thinking too big was a big waste of time for one developer. And as always, we're sharing answers to the questions you didn't even think to ask. Like, is my favorite pizza place running an illegal business by giving me 50% off for a review? What is the name of that beautiful chunk of carbs from the World Book Encyclopedia? How is the word skulduggery even real? Check them all out in the links below. 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https://soundcloud.com/moesifhq/architectural-best-practices-with-loungebuddy-vp-engineering-jessica-lam | Stream episode 7. Architectural Best Practices with LoungeBuddy/AmEx by Moesif podcast | Listen online for free on SoundCloud SoundCloud JavaScript is disabled You need to enable JavaScript to use SoundCloud Show me how to enable it 7. Architectural Best Practices with LoungeBuddy/AmEx by Moesif published on 2021-01-26T00:58:56Z Jesscia Lam was the Chief Architect and VP Engineering at LoungeBuddy, which was acquired by American Express. At LoungeBuddy she designed their APIs, many of which continue to be in use today. As a CTO, architect and engineering lead at multiple companies, Jessica shares her experience on how to build products to be more resilient, why error handling is so important and how to treat internal APIs vs. external APIs. Specifically, we cover: • APIs are Concise Units of Value • Don’t Treat Internal APIs Differently • Simplify New APIs with a Traffic Controller • Build in Good Error Handling • Follow the 80-20 Rule for Testing • Minimize Technical Debt and Move Quickly Genre Technology Users who like 7. Architectural Best Practices with LoungeBuddy/AmEx Users who reposted 7. Architectural Best Practices with LoungeBuddy/AmEx Playlists containing 7. Architectural Best Practices with LoungeBuddy/AmEx More tracks like 7. Architectural Best Practices with LoungeBuddy/AmEx License: all-rights-reserved Your current browser isn't compatible with SoundCloud. Please download one of our supported browsers. Need help? Chrome | Firefox | Safari | Edge Sorry! Something went wrong Is your network connection unstable or browser outdated? I need help Popular searches | 2026-01-13T08:48:16 |
https://dev.to/mwolfhoffman | Michael Wolf Hoffman - 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 Follow User actions Michael Wolf Hoffman 404 bio not found Location Salt Lake City, Utah, USA Joined Joined on Apr 30, 2020 github website Work Software Engineer Five Year Club This badge celebrates the longevity of those who have been a registered member of the DEV Community for at least five years. Got it Close Four Year Club This badge celebrates the longevity of those who have been a registered member of the DEV Community for at least four years. Got it Close Writing Debut Awarded for writing and sharing your first DEV post! Continue sharing your work to earn the 4 Week Writing Streak Badge. Got it Close 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 4 Week Writing Streak You've posted at least one post per week for 4 consecutive weeks! Got it Close More info about @mwolfhoffman Post 15 posts published Comment 1 comment written Tag 19 tags followed Quitting Coffee as a Software Engineer Michael Wolf Hoffman Michael Wolf Hoffman Michael Wolf Hoffman Follow Jan 25 '22 Quitting Coffee as a Software Engineer # discuss # productivity # career # motivation 3 reactions Comments 2 comments 5 min read Want to connect with Michael Wolf Hoffman? Create an account to connect with Michael Wolf Hoffman. You can also sign in below to proceed if you already have an account. Create Account Already have an account? Sign in Supabase Vs Firebase Pricing and When To Use Which Michael Wolf Hoffman Michael Wolf Hoffman Michael Wolf Hoffman Follow Jan 22 '22 Supabase Vs Firebase Pricing and When To Use Which # sql # firebase # database # webdev 24 reactions Comments 6 comments 3 min read Where to Publish Plugins, Add-ons, and Extensions for Software Engineers and Entrepreneurs Michael Wolf Hoffman Michael Wolf Hoffman Michael Wolf Hoffman Follow Jan 21 '22 Where to Publish Plugins, Add-ons, and Extensions for Software Engineers and Entrepreneurs # webdev # startup # saas # career Comments 1 comment 4 min read How to Use React + Supabase Pt 2: Working with the Database Michael Wolf Hoffman Michael Wolf Hoffman Michael Wolf Hoffman Follow Nov 30 '21 How to Use React + Supabase Pt 2: Working with the Database # react # webdev # javascript # programming 5 reactions Comments Add Comment 5 min read Show Your Work: A Software Engineering Book Review Michael Wolf Hoffman Michael Wolf Hoffman Michael Wolf Hoffman Follow Nov 30 '21 Show Your Work: A Software Engineering Book Review 2 reactions Comments Add Comment 4 min read How To Use React + Supabase Pt 1: Setting Up a Project and Supabase Authentication Michael Wolf Hoffman Michael Wolf Hoffman Michael Wolf Hoffman Follow Nov 23 '21 How To Use React + Supabase Pt 1: Setting Up a Project and Supabase Authentication # react # webdev # javascript # programming 15 reactions Comments Add Comment 5 min read How to Use JWT with Node.js, Express, and SQLite Michael Wolf Hoffman Michael Wolf Hoffman Michael Wolf Hoffman Follow Jan 19 '21 How to Use JWT with Node.js, Express, and SQLite 1 reaction Comments Add Comment 7 min read The Best JS Framework and How To Choose One Michael Wolf Hoffman Michael Wolf Hoffman Michael Wolf Hoffman Follow Jan 16 '21 The Best JS Framework and How To Choose One 1 reaction Comments Add Comment 6 min read What is CI/CD: Continuous Integration and Continuous Delivery For Beginners Michael Wolf Hoffman Michael Wolf Hoffman Michael Wolf Hoffman Follow Jan 7 '21 What is CI/CD: Continuous Integration and Continuous Delivery For Beginners 6 reactions Comments Add Comment 8 min read What To Do With Shared And Complex Logic in React Applications Michael Wolf Hoffman Michael Wolf Hoffman Michael Wolf Hoffman Follow Jan 7 '21 What To Do With Shared And Complex Logic in React Applications Comments Add Comment 4 min read The Common Ailments of Software Developers: Burnout and Imposter Syndrome: Michael Wolf Hoffman Michael Wolf Hoffman Michael Wolf Hoffman Follow Jan 5 '21 The Common Ailments of Software Developers: Burnout and Imposter Syndrome: 1 reaction Comments Add Comment 8 min read How to Build a REST API with Node and Express Michael Wolf Hoffman Michael Wolf Hoffman Michael Wolf Hoffman Follow Jan 3 '21 How to Build a REST API with Node and Express # node # javascript # express 25 reactions Comments 3 comments 14 min read TypeError vs ReferenceError in JavaScript Michael Wolf Hoffman Michael Wolf Hoffman Michael Wolf Hoffman Follow Dec 31 '20 TypeError vs ReferenceError in JavaScript Comments Add Comment 3 min read 5 Best Books for Software Developers in 2021 Michael Wolf Hoffman Michael Wolf Hoffman Michael Wolf Hoffman Follow Dec 30 '20 5 Best Books for Software Developers in 2021 1 reaction Comments Add Comment 4 min read Seven Habits of Highly Effective Software Developers Michael Wolf Hoffman Michael Wolf Hoffman Michael Wolf Hoffman Follow Dec 20 '20 Seven Habits of Highly Effective Software Developers 4 reactions Comments Add Comment 7 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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https://dev.to/devwonder01/observation-state-made-simple-2n0h#comments | Observation State Made Simple - 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 Tensor Labs Posted on Jan 13 Observation State Made Simple # algorithms # architecture # blockchain # web3 If you ever made any research or play around the source code for Uniswap v3 or Raydium CLMM, you most likely would stumble upon the observation array. To the uninitiated, it looks like a series of random, massive integers. But in an amazing way these numbers are the feats of financial engineering. they allow a liquidity pool to act as it's very own On-Chain Oracle without requiring an external price such as Chainlink or Pyth Network. In this article, we would skim through the math that makes Concentrated Liquidity Market Maker (CLMM) observation states work. The Core Problem: Liquidity Manipulation In V2 AMMs, the current price is very dangerous, flash loan attack can be used to buy massive amount of Token A, driving price up using that inflated price as collateral to borrow against a lending protocol, and then dumping the token—all in one block. To fix this, CLMMs make use of Time-Weighted Average Price TWAP to efficiently calculate TWAP on-chain by using the Observation State. Transforming Price into Ticks In a CLMM, we don't track the price directly, We track the Ticks . The price(P) and tick (i) are related by: By taking the logarithm, we get: Why do we do this? Because math with exponents is hard for computers to average, but math with integers (ticks) is easy. When we move into "Tick Space," we are essentially working in a logarithmic scale where multiplication turns into addition. The Accumulator Pattern The Observation State uses an Accumulator. Instead of storing every price change, the contract stores a "running total" of the price-time product. Whenever a swap happens, the contract updates the tickCumulative: a (subset of t): The new cumulative value. i (subset of current): The current active tick. Delta t: The number of seconds since the last update Example: At 12:00:00, the tick is 10 and the cumulative total is 1,000,000. At 12:00:10, a swap happens. 10 seconds have passed. New Cumulative: $1,000,000 + (10 \times 10) = 1,000,100$. Reconstructing the Average To find the average price between two timestamps t(subset 1) and t(subset 2), a developer just needs to fetch two observations from the state array.The math for the Average Tick ($\bar{i}$) is: Once you have the average tick, you convert it back to the human-readable This result is a Geometric Mean. It is mathematically superior for finance because it represents the "true" center of a percentage-based move, making it much harder for a single whale to skew the average with a brief spike. Liquidity Tracking The Observation State also tracks secondsPerLiquidityCumulative. This allows protocols to see how much liquidity was active at specific price ranges. The formula follows the same accumulator logic: This allows external contracts to verify not just the price, but the depth of the market during a specific window. Development Tip: Cardinality By default, most CLMM pools only store one observation (the most recent one). If you are building a lending protocol or a dApp that needs 30-minute price history, you must call the increaseObservationCardinalityNext function. This "slots" more space in the array, allowing the pool to store more history (e.g., 100 observations instead of 1). In Summary The Observation State is a "compressed" history of the pool. By storing the integral of the tick over time, CLMMs provide: Gas Efficiency: Only one update per block. Security: High resistance to Flash Loan attacks. Independence: No need for off-chain oracles. 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 Tensor Labs Follow Research and Development Labs specializing in Quantitative finance and Private Defense Education University of Lagos Work CoFounder of KyroPay Joined Oct 27, 2021 Trending on DEV Community Hot The First Week at a Startup Taught Me More Than I Expected # startup # beginners # career # learning AI should not be in Code Editors # programming # ai # productivity # discuss Meme Monday # discuss # watercooler # jokes 💎 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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https://dev.to/page/new-year-new-you-google-ai-2025-12-31-contest-rules | New Year, New You Portfolio Challenge Presented by Google AI Contest Rules - 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 New Year, New You Portfolio Challenge Presented by Google AI Contest Rules Contest Announcement New Year, New You Portfolio Challenge Presented by Google AI Sponsored by Dev Community Inc.(" Sponsor ") NO ENTRY FEE. NO PURCHASE NECESSARY TO ENTER OR WIN. VOID WHERE PROHIBITED. We urge you to carefully read the terms and conditions of this Contest Landing Page located here and the DEV Community Inc. General Contest Official Rules located here ("Official Rules"), incorporated herein by reference. The following contest specific details on this Contest Announcement Page, together with the Official Rules , govern your participation in the named contest defined below (the "Contest"). Sponsor does not claim ownership rights in your Entry. The Official Rules describe the rights you give to Sponsor by submitting an Entry to participate in the named Contest. In the event of a conflict between the terms of this Contest Announcement Page and the Official Rules, the Official Rules will govern and control. Contest Name : New Year, New You Portfolio Challenge Presented by Google AI Entry Period : The Contest begins on December 31, 2024 at 9:00 AM PST and ends on February 1, 2026 at 11:59 PM PST (the " Entry Period ") How to Enter : All entries must be submitted no later than the end of the Entry Period. You may enter the Contest during the Entry Period as follows: Visit the Contest webpage part of the DEV Community Site located here (the " Contest Page "); and Follow any instructions on the Contest Page and submit your completed entry (each an " Entry "). There is no limit on the number of Entries you may submit during the Entry Period. Required Elements for Entries : Without limiting any terms of the Official Rules, each Entry must include, at a minimum, the following elements: A published submission post on DEV that provides an overview of the portfolio using the submission template provided on the Contest Page. A live, functional portfolio deployed to Google Cloud Run and embedded in the submission post using the Cloud Run embed feature with the dev label. Judging Criteria : All qualified entries will be judged by a panel as selected by Sponsor as set forth in the Official Rules. Judges will award winners based on the following criteria: Innovation and Creativity Technical Implementation User Experience In the event of a tie in scoring between judges, the judges will select the entry that received the highest number of positive reactions on their DEV post to determine the winner. Prize(s) : The prizes to be awarded from the Contest are as follows: Winners (3) will each receive: $1,000 USD Gift Card or Equivalent Exclusive DEV Badge A completion badge on their DEV profile Runner-Ups (5) will receive: Personalized feedback on their portfolio from the Google AI team Exclusive DEV Badge A runner-up badge on their DEV profile All Participants (who submit a valid and qualified entry) will receive: A completion badge on their DEV profile Additional Eligibility Restrictions : This specific challenge includes the following restrictions in addition to those outlined in the Official Rules: Territories and regions excluded: Afghanistan, Belarus, Central African Republic, Cuba, Equatorial Guinea, Iran, Iraq, Kosovo, Libya, Myanmar (Burma), North Korea, Russia, South Sudan, Sudan, Syria, Tanzania, Venezuela, Yemen, Crimea, the so-called Donetsk People's Republic (DNR), the so-called Luhansk People's Republic (LNR). Additional participant exclusions for this challenge: Government institution employees, Google employees 💎 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 | 2026-01-13T08:48:16 |
https://dev.to/adventuresinangular/weekly-content-development-strategies-with-gde-maina-wycliffe-aia-357#main-content | Weekly Content Development Strategies with GDE Maina Wycliffe - AiA 357 - 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 Weekly Content Development Strategies with GDE Maina Wycliffe - AiA 357 Sep 22 '22 play Maina Wycliffe, Google Developer Expert in Angular, joins the show today to talk about his weekly newsletter called “All Things Typescript” and his various content and production strategies. Similarly, Charles also shares his perspective about how he has grown TopEndDevs. In this episode… Typescript newsletter Delivering concepts Creating content for posts RSS feeds Resource lists Ideal newsletter lengths Staying current in the industry Paid subscriptions Sponsors Top End Devs Raygun | Click here to get started on your free 14-day trial Coaching | Top End Devs Links All Things Typescript Maina Wycliffe Twitter: @mwycliffe_dev Picks Charles- Irish Gauge Charles- How to Stay Current Charles- Top End Devs | Coaching Charles - Angular Remote Conf Maina- Learning TypeScript: Enhance Your Web Development Skills Using Type-Safe JavaScript Maina- DevFest | Google Developers 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 | 2026-01-13T08:48:16 |
https://dev.to/adventuresinangular/getting-to-know-bruce-a-tate-bonus#main-content | Getting to Know Bruce A. Tate - BONUS - 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 Getting to Know Bruce A. Tate - BONUS Apr 28 '23 play Bruce A. Tate is a Founder at Groxio, Elixir Expert, and a Technical Author. He joins the show alongside Charles Max Wood to talk about his book, " Seven Languages in Seven Weeks" . He also delves into some of the preparations and anticipations that come with reading the book. Links Seven Languages in Seven Weeks grox.io Socials LinkedIn: Bruce Tate Twitter: redrapids 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 | 2026-01-13T08:48:16 |
https://www.suprsend.com/sms-providers-alternatives/7-best-ringcentral-alternatives-and-competitors-2024-sms-latency-pricing-compliance-api | #7 Best RingCentral Alternatives and Competitors (2024) - SMS, Latency, Pricing, Compliance, API Product FEATURES Template Engine Powerful template editors for all channels App Inbox Fully customizable inbox for your app & website Analytics Deep data insights on notification performance Logs Real-time notifications logs for all channels Smart Routing Reach users where they are Branding Seamlessly manage multi-brand customization Workflows Craft complex notification workflows Bifrost Run notifications natively on data warehouse Preferences Develop user focused notifications Integrations Integrate any channel and provider within mins Solutions BY USECASES Transactional Real-time alerts like authentication, activity updates Batching & Digest Aggregate multiple alerts into one Collaboration & Action Alerts on cross-user activity Scheduled Notifications One-time or recurring alerts like reminders Multi-tenant Alerts tailored to your customer's preferences Announcement / Newsletters Feature releases, achievements, product & policy updates Pricing Docs Customers Blog Login Get Started For Free Login Sign up #7 Best RingCentral Alternatives and Competitors (2024) - SMS, Latency, Pricing, Compliance, API Discover the top 7 RingCentral SMS alternatives & competitors for 2024. Explore lower-cost options, compliance, and APIs. Join the discussion on RingCentral alternatives Reddit. Integrate now Comparative Guide: #7 Best RingCentral Alternatives and Competitors (2024) - SMS, Latency, Pricing, Compliance, API In a market flooded with SMS providers, selecting the one that suits your needs can be challenging. This comparative guide offers a swift overview of their offerings, making it easy for you to decide. Features Interactive Voice Response Twilio Supported Sinch Supported Telnyx Supported Plivo Supported Ring Central Supported MessageBird Supported Vonage Supported Recording and Transcriptions Twilio Supported Sinch Supported Telnyx Supported Plivo Supported Ring Central Supported MessageBird Supported Vonage Supported Carrier Route Optimization Twilio Supported Sinch Supported Telnyx Supported Plivo Supported Ring Central Supported MessageBird Supported Vonage Supported Free Inbound SMS Twilio Not Supported Sinch Not Supported Telnyx Supported Plivo Not Supported Ring Central Not Supported MessageBird Supported Vonage Not Supported Concatenation Twilio Supported Sinch Supported Telnyx Supported Plivo Supported Ring Central Supported MessageBird Supported Vonage Supported Cost Dedicated Number Twilio $1/month Sinch $1/month Telnyx $1/ month Plivo $1/month Ring Central Monthly Bundled Plan MessageBird $1/month Vonage $0.99/month Incoming SMS Twilio $0.00075/message Sinch $0.00078/ message Telnyx FREE Plivo $0.0065/ message Ring Central $0.0085/ message MessageBird FREE Vonage $0.0063/ message Outgoing SMS Twilio $0.00075/message Sinch $0.00078/ message Telnyx $0.067/ message Plivo $0.0065/ message Ring Central $0.0085/ message MessageBird $0.0071/message Vonage $0.0068/ message Security Encryption Twilio TLS 1.2 / HTTP AES 256 Sinch TLS AES 256 Telnyx WebRTC & TLS SRTP/ZRTP Plivo TLS/ HTTP AES 256 Ring Central AES 256 MessageBird TLS Vonage TLS AES 256 Certification Twilio ISO/IEC 27017 ISO/IEC 27001 ISO/IEC 27001 FIPS 140-2 Level 3 SOC 2 CSA STAR Sinch ISO/ IEC 27001 - 2022 ISO 9001:2015 SOC 2 Type II Telnyx ISO/IEC 27001:2013 ISO/ IEC 27000 SOC 2 Type II SOC I Type II Plivo SOC 2 Ring Central ISO/IEC 27001 ISO/IEC 27017 ISO/IEC 27018 ISO/IEC 27018 SOC I Type II SOC 2 Type II MessageBird SOC 2 Type II ISO/IEC 27001:2013 Vonage ISO/IEC 27001:2013 Compliance Twilio HIPPA GDPR PCI DSS Sinch HIPPA PCI DSS Telnyx Avaya Compliant HIPPA GDPR Plivo GDPR HIPPA PCI DSS Ring Central HIPPA GDPR MessageBird GDPR Dutch ACM Vonage HIPPA Authentication IDs / Tokens Twilio Yes Sinch Yes Telnyx Yes Plivo Yes Ring Central Yes MessageBird Yes Vonage Yes Rate Limits Outbound Throughput Limit Range Twilio 1 MPS Sinch 1-75 MPS Telnyx 10 MPS Plivo 0.25-100 MPS Ring Central 10 MPS MessageBird 1 MPS Vonage 1-100 MPS Character Limits Accepted Twilio 1600 Concatenated / 160 Sinch 2000 Concatenated / 160 Telnyx 160 Plivo 1600 Concatenated/ 160 Ring Central 160 MessageBird 160 Vonage 3200 Concatenated/ 160 Features Twilio Sinch Telnyx Plivo Ring Central MessageBird Vonage Interactive Voice Response Supported Supported Supported Supported Supported Supported Supported Recording and Transcriptions Supported Supported Supported Supported Supported Supported Supported Carrier Route Optimization Supported Supported Supported Supported Supported Supported Supported Free Inbound SMS Not Supported Not Supported Supported Not Supported Not Supported Supported Not Supported Concatenation Supported Supported Supported Supported Supported Supported Supported Cost Twilio Sinch Telnyx Plivo Ring Central MessageBird Vonage Dedicated Number $1/month $1/month $1/ month $1/month Monthly Bundled Plan $1/month $0.99/month Incoming SMS $0.00075/message $0.00078/ message FREE $0.0065/ message $0.0085/ message FREE $0.0063/ message Outgoing SMS $0.00075/message $0.00078/ message $0.067/ message $0.0065/ message $0.0085/ message $0.0071/message $0.0068/ message Security Twilio Sinch Telnyx Plivo Ring Central MessageBird Vonage Encryption TLS 1.2 / HTTP AES 256 TLS AES 256 WebRTC & TLS SRTP/ZRTP TLS/ HTTP AES 256 AES 256 TLS TLS AES 256 Certification ISO/IEC 27017 ISO/IEC 27001 ISO/IEC 27018 FIPS 140-2 Level 3 SOC 2 CSA STAR ISO/ IEC 27001 - 2022 ISO 9001:2015 SOC 2 Type II ISO/IEC 27001:2013 ISO/ IEC 27000 SOC 2 Type II SOC I Type II SOC 2 ISO/IEC 27001 ISO/IEC 27017 ISO/IEC 27018 SSAE 16 SOC I Type II SOC 2 Type II SOC 2 Type II ISO/IEC 27001:2013 SSAE 16 ISO/IEC 27001:2013 Compliance HIPPA GDPR PCI DSS HIPPA PCI DSS Avaya Compliant HIPPA GDPR GDPR HIPPA PCI DSS HIPPA GDPR GDPR Dutch ACM HIPPA Authenttication IDs / Tokens Yes Yes Yes Yes Yes Yes Yes Rate Limits Twilio Sinch Telnyx Plivo Ring Central MessageBird Vonage Outbound Throughput Limit Range 1 MPS 1-75 MPS 10 MPS 0.25-100 MPS 10 MPS 1 MPS 1-100 MPS Character Limits Accepted 1600 Concatenated / 160 2000 Concatenated / 160 160 1600 Concatenated/ 160 160 160 3200 Concatenated/ 160 SMS Price Calculator: The Ultimate SMS Vendor Comparison Tool When it comes to cloud phone systems and communication APIs, RingCentral is a prominent choice. However, there are several RingCentral alternatives that cater to diverse business communication needs. In this detailed comparison, we'll explore seven notable RingCentral competitors, highlighting their unique features and capabilities. 1. Plivo: A Robust Alternative to RingCentral Plivo is a versatile business communications platform used by organizations in over 190 countries worldwide. It offers a scalable cloud communication solution with support for 16 languages in its text-to-speech feature. Plivo facilitates direct connections with businesses in supported countries, eliminating intermediaries. Distinctive Features: Advanced High-Tech Software for Seamless Communication: Plivo provides cutting-edge software to navigate the contemporary customer service landscape, ensuring engaging and efficient customer interactions. Around-the-Clock Premium Customer Support: Plivo offers 24/7 premium customer support to minimize downtime and maintain smooth communication systems. Dedicated Developer-Friendly API: With a dedicated API for developers, Plivo simplifies customization and integration of its features into your existing systems. Enhanced Security with Two-Factor Authentication: Plivo enhances app security with two-factor authentication, safeguarding sensitive information. Support for Diverse Multimedia Formats: Plivo supports a wide range of multimedia formats, including GIFs, JPEG, emojis, audio, and video, enabling dynamic and engaging messaging. Smart Queuing for Carrier Compliance: Plivo's smart queuing system ensures message compliance with carrier regulations, enhancing message delivery reliability. Pros: Customizable sender IDs with alphanumeric characters. Regular optimizations and SDK updates. GDPR compliance. Cons: Limited API documentation. Complex dashboard. Key Specifications: 99.99% API uptime. Supports iOS, Android, macOS, Linux, and Windows. Pricing starts at $35 per month. Why Choose Plivo Over RingCentral? Plivo offers seamless communication with advanced features. 24/7 premium support guarantees assistance at all times. Smart queuing improves message delivery reliability. 2. Twilio: A Reliable RingCentral Alternative Twilio is a well-established communication platform known for its cloud communication and customer engagement solutions. With a wide range of APIs, Twilio enables businesses to enhance communication and reach customers through various channels. Distinctive Features: Programmable APIs for Custom Communication Solutions: Twilio provides programmable APIs that empower developers to create tailored communication solutions, ensuring flexibility and scalability. Omnichannel Communication Capabilities: Twilio supports omnichannel communication, allowing businesses to connect with customers through SMS, voice, video, and more. Global Reach with Local Presence: Twilio offers access to local numbers in over 100 countries, enhancing your global presence. Video Communication: Twilio enables video calls, making remote interactions more personal and engaging. Pros: Extensive developer documentation and resources. High-quality voice and video calling. Cons: Costs can add up, especially with high usage. Some users may find the learning curve steep. Key Specifications: 99.95% API uptime. Supports a wide range of platforms, including web, mobile, and desktop. Pricing varies based on usage and services. Why Choose Twilio Over RingCentral? Twilio offers programmable APIs for custom communication solutions. Omnichannel communication capabilities enhance customer interactions. Extensive global reach with access to local numbers in many countries. 3. Sinch: A Versatile RingCentral Alternative Sinch is a versatile communication platform offering customized text campaigns, chatbots, and voice bots for innovative customer engagement. Distinctive Features: Direct Connectivity to Over 600 Carriers: Sinch boasts direct connectivity to more than 600 carriers, ensuring high message delivery rates and reliable customer outreach. Video APIs, SIP Trunking, and In-App Video Calls: Sinch offers a range of video communication options, including video APIs, SIP trunking, and in-app video calls, enhancing customer interactions. Cost-Effective Security with Flash Calls and Unified Verification: Sinch provides cost-effective security measures like Flash Calls and unified verification, reducing the risk of fraudulent activity. Pros: Easy number porting simplifies transferring phone numbers to Sinch. Number Look-up feature ensures accurate customer engagement. Cons: Lack of a desktop application. Occasional SMS delivery issues. Key Specifications: 99.95% uptime. Supports Android, iOS, and JavaScript SDK. Pricing starts at $0.0078 for SMS services. Why Choose Sinch Over RingCentral? Sinch offers direct connectivity to a vast network of carriers for reliable message delivery. Diverse video communication options, including in-app video calls, enhance customer engagement. Cost-effective security measures bolster trust and safety. 4. Telnyx: A Scalable Alternative to RingCentral Telnyx offers a scalable infrastructure for unified connectivity, featuring a global, private, multi-cloud IP network and intuitive APIs. Distinctive Features: Maximize SMS Delivery with Expert Consultation: Telnyx provides expert consultation to maximize SMS delivery, ensuring that important messages reach customers promptly. Self-Service Porting with Real-Time Data Validation: Simplify the process of transferring phone numbers to Telnyx with self-service porting and real-time data validation. 24/7 Support with No Additional Cost: Telnyx offers 24/7 customer support at no extra cost, ensuring reliable assistance. Pros: Competitive pricing model. Intuitive and detailed API documentation. 24/7 customer support. Cons: Learning curve for new users. Occasional glitches and outages. Key Specifications: 99.999% uptime. Supports multiple platforms, including Windows, Mac, iOS, and Android. Pricing starts at $0.002 per minue for outbound calls and $0.004 per message. Why Choose Telnyx Over RingCentral? Telnyx offers high-quality voice and video communication. Competitive pricing and 24/7 support at no extra cost. Self-service porting with real-time data validation. 5. Vonage: A Versatile RingCentral Alternative Vonage prioritizes API messaging and offers real-time data on phone numbers, from carrier information to user contact details. It simplifies SMS and MMS messages through integration with popular social media platforms, including WhatsApp and Facebook. Distinctive Features: Integration with WhatsApp, Viber Messaging, and Facebook: Vonage API provides various channels for reaching customers, enhancing your outreach. Live Website Chat: Offer real-time customer engagement with live website chat, ensuring you're readily available to address inquiries and provide support. Video Messaging and Voice Calling: Add versatility to your communication with video messaging and voice calling, enabling richer customer interactions. Pros: Wide range of communication APIs for tailored solutions. Developer-friendly with scalability for custom communication systems. Cost-effective connections with various carriers, reducing communication costs. Cons: Frequent SDK updates may require adjustments. Complex error handling may pose challenges in certain cases. Key Specifications: 99.99% API uptime. Supports multiple platforms, including iOS, Android, macOS, Linux, and Windows. Pricing varies based on usage and services. Why Choose Vonage Over RingCentral? Vonage API offers versatile communication channels through integration with WhatsApp, Viber Messaging, and Facebook. Live website chat ensures real-time customer engagement. Video messaging and voice calling enhance customer interactions. 6. MessageBird: An Omnichannel RingCentral Alternative MessageBird is a cloud-based messaging platform that excels in providing an exceptional omnichannel communication experience. It allows businesses to integrate various communication channels and services into a single inbox. Distinctive Features: Omnichannel Capabilities: MessageBird enables communication across multiple channels, making it easier to connect with customers where they're most comfortable. Flow Builder for Workflow Automation: With Flow Builder, you can create custom auto-replies and automate various workflows, streamlining communication processes and ensuring timely responses to customers. Two-Way Chat Messaging with Push Notifications: MessageBird offers two-way chat messaging with push notifications, facilitating real-time conversations with customers. Pros: Global coverage for connecting with customers worldwide. Flow Builder simplifies automation and customization of communication workflows. 24/7 support available to assist you when needed. Cons: Limited documentation may require extra effort to maximize platform use. Inconsistent SMS message delivery rates may affect message reliability. Key Specifications: Supports video conferencing, local and toll-free phone numbers, Instagram Messaging API, Google Business Messages, and more. Pricing varies based on usage and services. Why Choose MessageBird Over RingCentral? MessageBird offers comprehensive omnichannel capabilities, facilitating connections across various channels. Flow Builder streamlines workflow automation, improving communication efficiency. Two-way chat messaging with push notifications ensures real-time conversations with customers. 7. Bandwidth: A Flexible RingCentral Competitor Bandwidth is a communications platform known for its flexibility. It offers messaging, voice calls, and emergency services with extensive developer support. Distinctive Features: Direct-to-Carrier Network for Quality and Reliability: Bandwidth offers a direct-to-carrier network, ensuring quality and reliability in message and call delivery. Call Transcriptions, Text-to-Speech, and Recording: Enhance communication efficiency with call transcriptions, text-to-speech capabilities, and call recording, providing valuable resources for businesses. Nationwide 911 Connectivity: Bandwidth offers nationwide 911 connectivity, adding an extra layer of safety and compliance to your communication. Emergency Calling API: Handle critical situations efficiently with Bandwidth's emergency calling API, ensuring that you're prepared for emergencies. Pros: Click-to-call app for easy customer reach. Webinars for process improvement, ensuring you're making the most of your communication resources. Cons: Limited global reach. Limited advanced messaging features. Porting delays may impact your communication transition. Key Specifications: Prior notice for planned maintenance downtime. Supports various Linux distributions. Pricing starts at $0.010 per minute for domestic outbound calls. Why Choose Bandwidth Over RingCentral? Bandwidth offers a direct-to-carrier network for superior reliability. Comprehensive voice and messaging features, including 911 connectivity. Webinars for continuous process improvement, ensuring that you're optimizing your communication resources. Conclusion As you explore alternatives to RingCentral, consider your specific communication needs and the unique strengths each of these seven options brings to the table. From reliable message delivery and video communication to omnichannel capabilities and cost-effective security measures, there's a RingCentral alternative suitable for your business. Evaluate these options carefully to enhance your communication systems, customer interactions, and overall business success. How SuprSend works? More to explore vs. #7 Best Exotel Alternatives and Competitors (2024) - SMS, Latency, Pricing, Compliance, API Discover top 7 Exotel SMS alternatives & competitors for 2024. Explore lower-cost options, compliance, and APIs. Join the discussion on Exotel alternatives Reddit. Check now vs. #7 Best Gupshup Alternatives and Competitors (2024) - SMS, Latency, Pricing, Compliance, API Discover top 7 Gupshup SMS alternatives & competitors for 2024. Explore lower-cost options, compliance, and APIs. Join the discussion on Gupshup alternatives Reddit. Check now vs. #7 Best Karix Alternatives and Competitors (2024) - SMS, Latency, Pricing, Compliance, API Discover top 7 Karix SMS alternatives & competitors for 2024. Explore lower-cost options, compliance, and APIs. Join the discussion on Karix alternatives Reddit. Check now vs. #7 Best Ooma Alternatives and Competitors (2024) - SMS, Latency, Pricing, Compliance, API Discover top 7 Ooma SMS alternatives & competitors for 2024. Explore lower-cost options, compliance, and APIs. Join the discussion on Ooma alternatives Reddit. Check now vs. #7 Best Amazon SNS Alternatives and Competitors (2024) - SMS, Latency, Pricing, Compliance, API Discover top 7 Amazon SNS alternatives & competitors for 2024. Explore lower-cost options, compliance, and APIs. Join the discussion on Amazon SNS alternatives Reddit. Check now vs. #7 Best Telnyx Alternatives and Competitors (2024) - SMS, Latency, Pricing, Compliance, API Discover top 7 Telnyx SMS alternatives & competitors for 2024. Explore lower-cost options, compliance, and APIs. Join the discussion on Telnyx alternatives Reddit. Check now vs. #7 Best Bandwidth Alternatives and Competitors (2024) - SMS, Latency, Pricing, Compliance, API Discover the top 7 Bandwidth SMS alternatives & competitors for 2024. Explore lower-cost options, compliance, and APIs. Join the discussion on Bandwidth alternatives Reddit. Check now vs. #7 Best Sinch Alternatives and Competitors (2024) - SMS, Latency, Pricing, Compliance, API Discover the top 7 Sinch alternatives & competitors for 2024. Explore lower-cost options, compliance, and APIs. Join the discussion on Sinch alternatives Reddit. Check now vs. #7 Best Messagebird Alternatives and Competitors (2024) - SMS, Latency, Pricing, Compliance, API Discover the top 7 Messagebird SMS alternatives & competitors for 2024. Explore lower-cost options, compliance, and APIs. Join the discussion on Messagebird alternatives Reddit. Check now vs. #7 Best Vonage Alternatives and Competitors (2024) - Latency, Pricing, Compliance, API Discover the top 7 Vonage alternatives & competitors for 2024. Explore lower-cost options, compliance, and APIs. Join the discussion on Vonage alternatives Reddit. Check now vs. #7 Best Plivo Alternatives and Competitors (2024) - Latency, Pricing, Compliance, API Discover the top 7 Plivo alternatives & competitors for 2024. Explore lower-cost options, compliance, and APIs. Join the discussion on Plivo alternatives Reddit. Check now vs. #7 Best Twilio Alternatives and Competitors (2024) - Latency, Pricing, Compliance, API Discover top 7 Twilio alternatives & competitors for 2024. Explore lower-cost options, compliance, and APIs. Join the discussion on Twilio alternatives Reddit. Check now Implement a powerful stack for your notifications Get Started For Free Book Demo Company About us Signup Login Integrations Pricing Security Privacy Terms Contact Us Support SuprSend for Startups API Status Sign Up Channels Email SMS Notification Inbox Android Push iOS Push Web Push Xiaomi Push Whatsapp SDK Python SDK Node.js SDK Java SDK Android SDK React Native SDK iOS SDK Flutter SDK Go SDK Resources Documentation Changelog Blogs Write for us SMTP Error Codes SMS Providers Comparisons Email Providers Comparisons SMS Providers Alternatives Join us on Slack We are building a community of developers and product builders from across the globe to make notifications a pleasant experience. © 2025 All rights reserved. SuprStack Inc. By clicking “Accept All Cookies” , you agree to the storing of cookies on your device to enhance site navigation, analyze site usage, and assist in our marketing efforts. View our Privacy Policy for more information. 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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 Jones Charles Posted on Jan 12 Build Network Proxies and Reverse Proxies in Go: A Hands-On Guide # go # webdev # networking # programming Build Network Proxies and Reverse Proxies in Go: A Hands-On Guide Hey Dev.to community! 👋 If you’re a Go developer looking to level up your networking skills, proxies are a fantastic way to dive into real-world network programming. Whether you’re hiding client identities with a forward proxy or load-balancing microservices with a reverse proxy, Go’s concurrency and standard library make it a joy to build these tools. This guide is for developers with 1–2 years of Go experience, familiar with HTTP and basic networking. We’ll walk through practical code, share battle-tested tips, and avoid common pitfalls—perfect for your next project or portfolio piece! Why Go for Proxies? Go is a powerhouse for network programming: Standard Library : The net/http package handles HTTP like a champ. Concurrency : Goroutines make managing thousands of requests a breeze. Deployment : Single-binary output simplifies shipping to any platform. Feature Why It Rocks for Proxies net/http Package Streamlines HTTP request/response handling Goroutines Scales effortlessly for concurrent requests Single Binary Deploy anywhere with zero hassle What You’ll Learn : The difference between forward and reverse proxies. How to build both in Go with clear, production-ready code. Optimization tricks and real-world lessons from my 10 years of Go experience. Let’s dive in! Network Proxies vs. Reverse Proxies: The Basics Before we code, let’s clarify what proxies do. They’re middlemen in network communication, but their roles differ. Forward Proxy: Your Client’s Advocate A forward proxy sits between a client (like your browser) and the internet, fetching resources on the client’s behalf. Think of it as a personal assistant who grabs your coffee order without revealing you’re the one asking. How It Works : Client → Proxy → Server → Proxy → Client Use Cases : Anonymity (VPNs), content filtering, caching Go’s Edge : http.Client simplifies forwarding; Goroutines handle concurrent clients. Reverse Proxy: The Server’s Gatekeeper A reverse proxy sits in front of backend servers, routing client requests and shielding the backend. It’s like a restaurant host who directs your order to the right chef. How It Works : Client → Reverse Proxy → Backend → Reverse Proxy → Client Use Cases : Load balancing (Nginx), security, API gateways Go’s Edge : httputil.ReverseProxy makes routing a snap; Goroutines scale traffic. Forward vs. Reverse: Quick Comparison Feature Forward Proxy Reverse Proxy Role Serves clients Serves backends Control Client-configured Server-managed Purpose Hides client identity Hides backend details Go Tools http.Client httputil.ReverseProxy Segment 2: Building a Forward Proxy in Go Let’s get hands-on with a simple HTTP forward proxy. This code forwards client requests to any target server and returns the response. Perfect for anonymity or caching! Simple Forward Proxy in Go package main import ( "io" "log" "net/http" ) func handleProxy ( w http . ResponseWriter , r * http . Request ) { client := & http . Client {} req , err := http . NewRequest ( r . Method , r . URL . String (), r . Body ) if err != nil { http . Error ( w , "Bad Request" , http . StatusBadRequest ) return } // Copy request headers for k , v := range r . Header { req . Header [ k ] = v } // Forward request resp , err := client . Do ( req ) if err != nil { http . Error ( w , "Server Error" , http . StatusInternalServerError ) return } defer resp . Body . Close () // Copy response headers and status for k , v := range resp . Header { w . Header ()[ k ] = v } w . WriteHeader ( resp . StatusCode ) io . Copy ( w , resp . Body ) } func main () { http . HandleFunc ( "/" , handleProxy ) log . Fatal ( http . ListenAndServe ( ":8080" , nil )) } Enter fullscreen mode Exit fullscreen mode Run It : Save as proxy.go . Run go run proxy.go . Test with curl -x http://localhost:8080 http://example.com . What’s Happening : http.Client sends the client’s request to the target. Headers and body are copied to preserve the request. io.Copy streams the response efficiently. defer resp.Body.Close() prevents memory leaks. Pro Tip : Always close resp.Body to avoid file descriptor leaks—a lesson I learned after a production crash! Optimization Tricks In a real-world content-filtering proxy, I boosted performance with these tweaks: Connection Pooling : client := & http . Client { Transport : & http . Transport { MaxIdleConns : 100 , IdleConnTimeout : 90 * time . Second , TLSHandshakeTimeout : 10 * time . Second , }, Timeout : 30 * time . Second , } Enter fullscreen mode Exit fullscreen mode This cut latency from 200ms to 50ms by reusing connections. Pitfall Fix : Set MaxIdleConnsPerHost to limit per-host connections, avoiding excessive TCP handshakes. Segment 3: Building a Reverse Proxy in Go Now, let’s build a reverse proxy with round-robin load balancing to distribute requests across multiple backends. Ideal for microservices or high-traffic apps! Simple Reverse Proxy with Round-Robin package main import ( "log" "net/http" "net/http/httputil" "net/url" "sync/atomic" ) type ReverseProxy struct { backends [] * url . URL current uint64 } func NewReverseProxy ( backendURLs [] string ) * ReverseProxy { urls := make ([] * url . URL , len ( backendURLs )) for i , u := range backendURLs { parsedURL , err := url . Parse ( u ) if err != nil { log . Fatalf ( "Invalid URL: %v" , err ) } urls [ i ] = parsedURL } return & ReverseProxy { backends : urls } } func ( p * ReverseProxy ) ServeHTTP ( w http . ResponseWriter , r * http . Request ) { index := atomic . AddUint64 ( & p . current , 1 ) % uint64 ( len ( p . backends )) proxy := httputil . NewSingleHostReverseProxy ( p . backends [ index ]) proxy . ServeHTTP ( w , r ) } func main () { backends := [] string { "http://localhost:8081" , "http://localhost:8082" } proxy := NewReverseProxy ( backends ) log . Fatal ( http . ListenAndServe ( ":8080" , proxy )) } Enter fullscreen mode Exit fullscreen mode Run It : Save as reverse_proxy.go . Run mock backends on ports 8081 and 8082 (e.g., simple Go HTTP servers). Run go run reverse_proxy.go . Test with curl http://localhost:8080 . What’s Happening : httputil.ReverseProxy handles request forwarding. atomic.AddUint64 ensures thread-safe round-robin selection. Requests alternate between backends. Pro Tip : Use http.Transport for connection reuse: proxy . Transport = & http . Transport { MaxIdleConns : 100 , MaxIdleConnsPerHost : 10 , } Enter fullscreen mode Exit fullscreen mode Real-World Insights In a microservices API gateway, I learned: Health Checks : Poll backends to skip unhealthy ones: func ( p * ReverseProxy ) healthCheck () { for { for _ , backend := range p . backends { resp , err := http . Get ( backend . String () + "/health" ) // Update backend status if resp != nil { resp . Body . Close () } } time . Sleep ( 10 * time . Second ) } } Enter fullscreen mode Exit fullscreen mode Pitfall Fix : Set ResponseHeaderTimeout to avoid slow backend delays. Segment 4: Advanced Features and Best Practices Let’s level up with advanced features like concurrency, security, and monitoring, plus best practices to make your proxy production-ready. Advanced Features High Concurrency Go’s Goroutines shine here. Each request runs in its own lightweight thread, handling thousands of connections with minimal memory. For dynamic backends, use a thread-safe manager: type BackendManager struct { backends [] * url . URL mu sync . RWMutex } func ( m * BackendManager ) UpdateBackends ( newBackends [] string ) { m . mu . Lock () defer m . mu . Unlock () urls := make ([] * url . URL , len ( newBackends )) for i , u := range newBackends { urls [ i ], _ = url . Parse ( u ) } m . backends = urls } Enter fullscreen mode Exit fullscreen mode Insight : Pair with Consul for zero-downtime backend updates in Kubernetes. Security TLS : Use http.ListenAndServeTLS with Let’s Encrypt via golang.org/x/crypto/acme/autocert . Rate Limiting : Mitigate DDoS with golang.org/x/time/rate : limiter := rate . NewLimiter ( 10 , 50 ) // 10 reqs/sec, 50 burst if ! limiter . Allow () { http . Error ( w , "Rate Limit Exceeded" , http . StatusTooManyRequests ) return } Enter fullscreen mode Exit fullscreen mode Monitoring Profiling : Enable net/http/pprof on :6060 for CPU/memory insights. Metrics : Use prometheus/client_golang for Prometheus/Grafana dashboards. Pitfall Fix : Missing metrics made debugging a nightmare. Deploy Prometheus to track http_requests_total . Best Practices Timeouts : Set http.Client and http.Transport timeouts to prevent hangs. Logging : Use go.uber.org/zap for structured, performant logs. Deployment : Containerize with Docker: FROM golang:1.21 WORKDIR /app COPY . . RUN go build -o proxy CMD ["./proxy"] Enter fullscreen mode Exit fullscreen mode Insight : Nginx + Go for SSL termination boosted performance by 20%. Segment 5: Real-World Use Cases and Call to Action Real-World Use Cases API Gateway Route requests to microservices with authentication: mux := http . NewServeMux () mux . Handle ( "/users/" , httputil . NewSingleHostReverseProxy ( userService )) mux . Handle ( "/orders/" , httputil . NewSingleHostReverseProxy ( orderService )) Enter fullscreen mode Exit fullscreen mode Tip : Use http.StripPrefix to avoid routing conflicts. Load Balancer Use consistent hashing ( github.com/stathat/consistent ) for better cache hits and dynamic health checks. Caching Proxy Cache static content with sync.Map and TTL: type CacheEntry struct { Data [] byte ExpiresAt time . Time } p . cache . Store ( key , CacheEntry { Data : data , ExpiresAt : time . Now () . Add ( 5 * time . Minute )}) Enter fullscreen mode Exit fullscreen mode Insight : This boosted cache hit rates from 60% to 85%. Key Takeaways Go’s net/http and httputil make proxy development straightforward. Goroutines and connection pooling handle high traffic with ease. Optimizations like health checks and TLS ensure reliability. Call to Action Build your own proxy! Try: A TLS-enabled forward proxy with Let’s Encrypt. A reverse proxy with Prometheus monitoring. Share your projects in the comments—I’d love to see what you create! Have questions or hit a snag? Drop a comment, and let’s debug together. 🚀 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 Jones Charles Follow go dev Joined Dec 17, 2024 More from Jones Charles Building a Lightweight RPC Framework in Go: A Hands-On Guide # go # webdev # programming # networking Building Microservices with gRPC and Go: A Hands-On Guide # go # networking # webdev # programming Build a Real-Time Chatroom with WebSocket and Go 🚀 # go # webdev # programming # networking 💎 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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https://dev.to/piskun_lab_mcp/how-i-connected-claude-desktop-to-notion-using-mcp-open-source-cloud-hosted-91i | How I Connected Claude Desktop to Notion using MCP (Open Source & Cloud-Hosted) - 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 Piskun Lab Posted on Dec 15, 2025 How I Connected Claude Desktop to Notion using MCP (Open Source & Cloud-Hosted) # programming # mcp # ai # tutorial I love using Claude Desktop and Cursor, but I kept running into a wall: Context Switching. Every time I needed to reference my project specs, meeting notes, or task lists, I had to Alt-Tab to Notion, copy the text, and paste it into the chat. It felt archaic. I looked for existing Model Context Protocol (MCP) servers for Notion, but most were designed to run locally via stdio. This meant keeping a terminal window open forever, dealing with Python dependencies, and restarting it every time my laptop went to sleep. So, I built my own solution. 🛠 What I Built I created a Cloud-Native Notion MCP Server that runs 24/7 using Server-Sent Events (SSE). Stack: Node.js, TypeScript, Express. Transport: Native MCP over SSE (instead of stdio). Hosting: Deploys easily on Apify (runs on the free tier). Security: Bearer Token authentication (so you don't leak secrets). 🚀 Why do this? By moving the MCP server to the cloud, you turn Notion into a persistent "knowledge backend" for your AI. Always On: No need to run npm start locally. Secure: Tokens are managed via environment variables, not hardcoded in your local config. Multi-Client: Connect both Claude Desktop and Cursor to the same instance. ⚙️ How to set it up (5 minutes) Here is how you can set it up for free using the Apify platform. Step 1: Deploy the Server I wrapped the code into an Apify Actor. You can deploy it with one click (no credit card required for the free tier). 👉 https://apify.com/piskunlab/notion-mcp-server Once deployed, copy your Actor URL and set your NOTION_TOKEN. Step 2: Configure Claude/Cursor Since we are using SSE, we don't need to point to a local file. We point to the cloud URL. For Claude Desktop (claude_desktop_config.json): JSON { "mcpServers": { "notion-cloud": { "command": "", "args": [], "url": " https://your-actor-url.apify.actor/sse ", "headers": { "Authorization": "Bearer YOUR_SECRET_TOKEN" } } } } Step 3: Test it out Restart Claude. You should see a generic "mcp-server" icon. Now you can ask: "Read the page 'Project Roadmap' and summarize the tasks for this week." "Create a new bug report in my 'Bugs' database." 🔧 Under the Hood For those interested in the code, the project is open-source. It uses the official @modelcontextprotocol/sdk mapped to Express endpoints. GET /sse establishes the event stream. POST /message handles the JSON-RPC traffic. It handles Rate Limiting to ensure you don't hit Notion's API limits too hard. Check out the code here: 👉 https://github.com/piskunproject/notion-mcp-server I'm planning to build similar persistent servers for GitHub and Slack next. Let me know in the comments if you have any feature requests! Happy coding! 🚀 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 Piskun Lab Follow Location Sweden Joined Dec 15, 2025 Trending on DEV Community Hot I Built an AI-Powered Trend Analysis Tool Using the Virlo API (Here's How It Works) # python # ai # api # news The “AI operator” mindset for small teams # webdev # ai # startup # productivity I Am 38, I Am a Nurse, and I Have Always Wanted to Learn Coding # career # learning # beginners # coding 💎 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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https://dev.to/adam_weber_6dc0d5bd752326 | Adam Weber - 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 Adam Weber Just a dude who likes to write code. Location North Carolina Joined Joined on Nov 19, 2025 Personal website https://github.com/adamw17/ More info about @adam_weber_6dc0d5bd752326 Badges Writing Debut Awarded for writing and sharing your first DEV post! Continue sharing your work to earn the 4 Week Writing Streak Badge. Got it Close Skills/Languages C Currently learning Going back to systems dev and trying to get lower level than I have in the past. Currently hacking on GhostScope Available for Anything really honestly. I'm happy to talk. Post 7 posts published Comment 1 comment written Tag 0 tags followed Debugging a Filesystem Module: When Reference Counting Goes Wrong Adam Weber Adam Weber Adam Weber Follow Jan 7 Debugging a Filesystem Module: When Reference Counting Goes Wrong # linux # kernel # filesystem Comments Add Comment 3 min read Want to connect with Adam Weber? Create an account to connect with Adam Weber. You can also sign in below to proceed if you already have an account. Create Account Already have an account? Sign in Minimal Character Driver Adam Weber Adam Weber Adam Weber Follow Dec 8 '25 Minimal Character Driver # linux # programming # tutorial Comments Add Comment 3 min read Babies first /proc entry Adam Weber Adam Weber Adam Weber Follow Dec 8 '25 Babies first /proc entry # linux # kernel # modules # development Comments Add Comment 3 min read Tainting the kernel Adam Weber Adam Weber Adam Weber Follow Dec 3 '25 Tainting the kernel # linux # kernel # c # kprobe Comments Add Comment 3 min read Kernel Module Dev Environment Adam Weber Adam Weber Adam Weber Follow Nov 28 '25 Kernel Module Dev Environment # c # tutorial # linux # tooling Comments Add Comment 3 min read Panic in the sandbox Adam Weber Adam Weber Adam Weber Follow Nov 26 '25 Panic in the sandbox # linux # kernel # qemu # learning Comments Add Comment 2 min read A Simple Binary Adam Weber Adam Weber Adam Weber Follow Nov 20 '25 A Simple Binary # devjournal # learning # programming Comments 2 comments 2 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. 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 | 2026-01-13T08:48:16 |
https://dev.to/yunwei37 | 云微 - 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 Follow User actions 云微 know nothing about the world, but trying to keep learning | building eunomia.dev Joined Joined on Aug 15, 2023 Email address 1067852565@qq.com Personal website https://www.yunwei37.com/ github website twitter website More info about @yunwei37 Badges 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 Writing Debut Awarded for writing and sharing your first DEV post! Continue sharing your work to earn the 4 Week Writing Streak Badge. Got it Close Currently learning eBPF, Wasm, AI, GPT, Linux Available for All! You can find my projects at https://github.com/yunwei37 Post 45 posts published Comment 0 comments written Tag 0 tags followed eBPF Tutorial: BPF Iterators for Kernel Data Export 云微 云微 云微 Follow Jan 13 eBPF Tutorial: BPF Iterators for Kernel Data Export # ebpf # iterator # kernel Comments Add Comment 11 min read eBPF Tutorial by Example: BPF Arena for Zero-Copy Shared Memory 云微 云微 云微 Follow Jan 6 eBPF Tutorial by Example: BPF Arena for Zero-Copy Shared Memory # ebpf # arena # memory Comments Add Comment 11 min read eBPF Tutorial: Tracing CUDA GPU Operations 云微 云微 云微 Follow Dec 30 '25 eBPF Tutorial: Tracing CUDA GPU Operations # ebpf # cuda # gpu Comments Add Comment 12 min read eBPF Tutorial: Transparent Text Replacement in File Reads 云微 云微 云微 Follow Dec 23 '25 eBPF Tutorial: Transparent Text Replacement in File Reads # ebpf # kernel # tracing Comments Add Comment 10 min read eBPF Tutorial by Example 32: Wall Clock Profiling with Combined On-CPU and Off-CPU Analysis 云微 云微 云微 Follow Dec 16 '25 eBPF Tutorial by Example 32: Wall Clock Profiling with Combined On-CPU and Off-CPU Analysis # ebpf # profiler # tracing Comments Add Comment 13 min read eBPF Tutorial by Example: Tracing Intel NPU Kernel Driver Operations 云微 云微 云微 Follow Dec 9 '25 eBPF Tutorial by Example: Tracing Intel NPU Kernel Driver Operations # ebpf # npu # kernel Comments Add Comment 9 min read Extending eBPF Beyond Its Limits: Custom kfuncs in Kernel Modules 云微 云微 云微 Follow Dec 2 '25 Extending eBPF Beyond Its Limits: Custom kfuncs in Kernel Modules # ebpf # kernel # kfunc 2 reactions Comments Add Comment 11 min read eBPF Tutorial: Introduction to the BPF Scheduler 云微 云微 云微 Follow Nov 25 '25 eBPF Tutorial: Introduction to the BPF Scheduler # ebpf # scheduler # kernel Comments Add Comment 9 min read eBPF Tutorial by Example: Implementing the `scx_nest` Scheduler 云微 云微 云微 Follow Nov 18 '25 eBPF Tutorial by Example: Implementing the `scx_nest` Scheduler # ebpf # scheduler # kernel Comments Add Comment 17 min read eBPF Tutorial by Example: Building a High-Performance XDP Packet Generator 云微 云微 云微 Follow Nov 11 '25 eBPF Tutorial by Example: Building a High-Performance XDP Packet Generator # ebpf # xdp # network Comments Add Comment 9 min read eBPF Tutorial by Example: Monitoring GPU Driver Activity with Kernel Tracepoints 云微 云微 云微 Follow Nov 4 '25 eBPF Tutorial by Example: Monitoring GPU Driver Activity with Kernel Tracepoints # ebpf # gpu # kernel Comments Add Comment 13 min read eBPF Tutorial: Privilege Escalation via File Content Manipulation 云微 云微 云微 Follow Oct 28 '25 eBPF Tutorial: Privilege Escalation via File Content Manipulation # ebpf # security # lsm Comments Add Comment 7 min read The GPU Observability Gap: Why We Need eBPF on GPUs 云微 云微 云微 Follow Oct 21 '25 The GPU Observability Gap: Why We Need eBPF on GPUs # ebpf # gpu # kernel 1 reaction Comments Add Comment 18 min read eBPF Tutorial: Energy Monitoring for Process-Level Power Analysis 云微 云微 云微 Follow Oct 14 '25 eBPF Tutorial: Energy Monitoring for Process-Level Power Analysis # ebpf # energy # monitoring 1 reaction Comments Add Comment 16 min read AgentSight: Keeping Your AI Agents Under Control with eBPF-Powered System Observability 云微 云微 云微 Follow Oct 6 '25 AgentSight: Keeping Your AI Agents Under Control with eBPF-Powered System Observability # ebpf # ai # observability Comments Add Comment 12 min read eBPF Tutorial: Tracing CUDA GPU Operations 云微 云微 云微 Follow May 25 '25 eBPF Tutorial: Tracing CUDA GPU Operations # gpu # architecture Comments 1 comment 10 min read What Will We Remember from the 2020s? Looking Back in history and Thinking Forward 云微 云微 云微 Follow Oct 25 '24 What Will We Remember from the 2020s? Looking Back in history and Thinking Forward # ai # programming Comments Add Comment 6 min read Tired of AI Tech Writing? Here’s How to Make Your Posts More Human 云微 云微 云微 Follow Oct 25 '24 Tired of AI Tech Writing? Here’s How to Make Your Posts More Human # ai # programming 1 reaction Comments 1 comment 5 min read Are Multi-Agent Systems the Future of AI? A Look at OpenAI’s Swarm Experiment 云微 云微 云微 Follow Oct 12 '24 Are Multi-Agent Systems the Future of AI? 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https://dev.to/yunwei37/ebpf-tutorial-tracing-cuda-gpu-operations-45eb | eBPF Tutorial: Tracing CUDA GPU Operations - 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 云微 Posted on Dec 30, 2025 eBPF Tutorial: Tracing CUDA GPU Operations # ebpf # cuda # gpu Have you ever wondered what's happening under the hood when your CUDA application is running? GPU operations can be challenging to debug and profile because they happen in a separate device with its own memory space. In this tutorial, we'll build a powerful eBPF-based tracing tool that lets you peek into CUDA API calls in real time. The complete source code: https://github.com/eunomia-bpf/bpf-developer-tutorial/tree/main/src/47-cuda-events Introduction to CUDA and GPU Tracing CUDA (Compute Unified Device Architecture) is NVIDIA's parallel computing platform and programming model that enables developers to use NVIDIA GPUs for general-purpose processing. When you run a CUDA application, a typical workflow begins with the host (CPU) allocating memory on the device (GPU), followed by data transfer from host memory to device memory, then GPU kernels (functions) are launched to process the data, after which results are transferred back from device to host, and finally device memory is freed. Each operation in this process involves CUDA API calls, such as cudaMalloc for memory allocation, cudaMemcpy for data transfer, and cudaLaunchKernel for kernel execution. Tracing these calls can provide valuable insights for debugging and performance optimization, but this isn't straightforward. GPU operations are asynchronous, meaning the CPU can continue executing after submitting work to the GPU without waiting, and traditional debugging tools often can't penetrate this asynchronous boundary to access GPU internal state. This is where eBPF comes to the rescue! By using uprobes, we can intercept CUDA API calls in the user-space CUDA runtime library ( libcudart.so ) before they reach the GPU driver, capturing critical information. This approach allows us to gain deep insights into memory allocation sizes and patterns, data transfer directions and volumes, kernel launch parameters, error codes and failure reasons returned by the API, and precise timing information for each operation. By intercepting these calls on the CPU side, we can build a complete view of an application's GPU usage behavior without modifying application code or relying on proprietary profiling tools. This tutorial primarily focuses on CPU-side CUDA API tracing, which provides a macro view of how applications interact with the GPU. However, CPU-side tracing alone has clear limitations. When a CUDA API function like cudaLaunchKernel is called, it merely submits a work request to the GPU. We can see when the kernel was launched, but we cannot observe what actually happens inside the GPU. Critical details such as how thousands of threads access memory, their execution patterns, branching behavior, and synchronization operations remain invisible. These details are crucial for understanding performance bottlenecks, such as whether memory access patterns cause coalesced access failures or whether severe thread divergence reduces execution efficiency. To achieve fine-grained tracing of GPU operations, eBPF programs need to run directly on the GPU. This is exactly what the eGPU paper and bpftime GPU examples explore. bpftime converts eBPF programs into PTX instructions that GPUs can execute, then dynamically modifies CUDA binaries at runtime to inject these eBPF programs at kernel entry and exit points, enabling observation of GPU internal behavior. This approach allows developers to access GPU-specific information such as block indices, thread indices, global timers, and perform measurements and tracing on critical paths during kernel execution. This GPU-internal observability is essential for diagnosing complex performance issues, understanding kernel execution behavior, and optimizing GPU computation—capabilities that CPU-side tracing simply cannot provide. Key CUDA Functions We Trace Our tracer monitors several critical CUDA functions that represent the main operations in GPU computing. Understanding these functions helps you interpret the tracing results and diagnose issues in your CUDA applications: Memory Management cudaMalloc : Allocates memory on the GPU device. By tracing this, we can see how much memory is being requested, when, and whether it succeeds. Memory allocation failures are a common source of problems in CUDA applications. cudaError_t cudaMalloc ( void ** devPtr , size_t size ); Enter fullscreen mode Exit fullscreen mode cudaFree : Releases previously allocated memory on the GPU. Tracing this helps identify memory leaks (allocated memory that's never freed) and double-free errors. cudaError_t cudaFree ( void * devPtr ); Enter fullscreen mode Exit fullscreen mode Data Transfer cudaMemcpy : Copies data between host (CPU) and device (GPU) memory, or between different locations in device memory. The direction parameter ( kind ) tells us whether data is moving to the GPU, from the GPU, or within the GPU. cudaError_t cudaMemcpy ( void * dst , const void * src , size_t count , cudaMemcpyKind kind ); Enter fullscreen mode Exit fullscreen mode The kind parameter can be: cudaMemcpyHostToDevice (1): Copying from CPU to GPU cudaMemcpyDeviceToHost (2): Copying from GPU to CPU cudaMemcpyDeviceToDevice (3): Copying within GPU memory Kernel Execution cudaLaunchKernel : Launches a GPU kernel (function) to run on the device. This is where the actual parallel computation happens. Tracing this shows when kernels are launched and whether they succeed. cudaError_t cudaLaunchKernel ( const void * func , dim3 gridDim , dim3 blockDim , void ** args , size_t sharedMem , cudaStream_t stream ); Enter fullscreen mode Exit fullscreen mode Streams and Synchronization CUDA uses streams for managing concurrency and asynchronous operations: cudaStreamCreate : Creates a new stream for executing operations in order but potentially concurrently with other streams. cudaError_t cudaStreamCreate ( cudaStream_t * pStream ); Enter fullscreen mode Exit fullscreen mode cudaStreamSynchronize : Waits for all operations in a stream to complete. This is a key synchronization point that can reveal performance bottlenecks. cudaError_t cudaStreamSynchronize ( cudaStream_t stream ); Enter fullscreen mode Exit fullscreen mode Events CUDA events are used for timing and synchronization: cudaEventCreate : Creates an event object for timing operations. cudaError_t cudaEventCreate ( cudaEvent_t * event ); Enter fullscreen mode Exit fullscreen mode cudaEventRecord : Records an event in a stream, which can be used for timing or synchronization. cudaError_t cudaEventRecord ( cudaEvent_t event , cudaStream_t stream ); Enter fullscreen mode Exit fullscreen mode cudaEventSynchronize : Waits for an event to complete, which is another synchronization point. cudaError_t cudaEventSynchronize ( cudaEvent_t event ); Enter fullscreen mode Exit fullscreen mode Device Management cudaGetDevice : Gets the current device being used. cudaError_t cudaGetDevice ( int * device ); Enter fullscreen mode Exit fullscreen mode cudaSetDevice : Sets the device to be used for GPU executions. cudaError_t cudaSetDevice ( int device ); Enter fullscreen mode Exit fullscreen mode By tracing these functions, we gain complete visibility into the lifecycle of GPU operations, from device selection and memory allocation to data transfer, kernel execution, and synchronization. This enables us to identify bottlenecks, diagnose errors, and understand the behavior of CUDA applications. Architecture Overview Our CUDA events tracer consists of three main components: Header File ( cuda_events.h ) : Defines data structures for communication between kernel and user space eBPF Program ( cuda_events.bpf.c ) : Implements kernel-side hooks for CUDA functions using uprobes User-Space Application ( cuda_events.c ) : Loads the eBPF program, processes events, and displays them to the user The tool uses eBPF uprobes to attach to CUDA API functions in the CUDA runtime library. When a CUDA function is called, the eBPF program captures the parameters and results, sending them to user space through a ring buffer. Key Data Structures The central data structure for our tracer is the struct event defined in cuda_events.h : struct event { /* Common fields */ int pid ; /* Process ID */ char comm [ TASK_COMM_LEN ]; /* Process name */ enum cuda_event_type type ; /* Type of CUDA event */ /* Event-specific data (union to save space) */ union { struct { size_t size ; } mem ; /* For malloc/memcpy */ struct { void * ptr ; } free_data ; /* For free */ struct { size_t size ; int kind ; } memcpy_data ; /* For memcpy */ struct { void * func ; } launch ; /* For kernel launch */ struct { int device ; } device ; /* For device operations */ struct { void * handle ; } handle ; /* For stream/event operations */ }; bool is_return ; /* True if this is from a return probe */ int ret_val ; /* Return value (for return probes) */ char details [ MAX_DETAILS_LEN ]; /* Additional details as string */ }; Enter fullscreen mode Exit fullscreen mode This structure is designed to efficiently capture information about different types of CUDA operations. The union is a clever space-saving technique since each event only needs one type of data at a time. For example, a memory allocation event needs to store the size, while a free event needs to store a pointer. The cuda_event_type enum helps us categorize different CUDA operations: enum cuda_event_type { CUDA_EVENT_MALLOC = 0 , CUDA_EVENT_FREE , CUDA_EVENT_MEMCPY , CUDA_EVENT_LAUNCH_KERNEL , CUDA_EVENT_STREAM_CREATE , CUDA_EVENT_STREAM_SYNC , CUDA_EVENT_GET_DEVICE , CUDA_EVENT_SET_DEVICE , CUDA_EVENT_EVENT_CREATE , CUDA_EVENT_EVENT_RECORD , CUDA_EVENT_EVENT_SYNC }; Enter fullscreen mode Exit fullscreen mode This enum covers the main CUDA operations we want to trace, from memory management to kernel launches and synchronization. The eBPF Program Implementation Let's dive into the eBPF program ( cuda_events.bpf.c ) that hooks into CUDA functions. The full code is available in the repository, but here are the key parts: First, we create a ring buffer to communicate with user space: struct { __uint ( type , BPF_MAP_TYPE_RINGBUF ); __uint ( max_entries , 256 * 1024 ); } rb SEC ( ".maps" ); Enter fullscreen mode Exit fullscreen mode The ring buffer is a crucial component for our tracer. It acts as a high-performance queue where the eBPF program can submit events, and the user-space application can retrieve them. We set a generous size of 256KB to handle bursts of events without losing data. For each CUDA operation, we implement a helper function to collect relevant data. Let's look at the submit_malloc_event function as an example: static inline int submit_malloc_event ( size_t size , bool is_return , int ret_val ) { struct event * e = bpf_ringbuf_reserve ( & rb , sizeof ( * e ), 0 ); if ( ! e ) return 0 ; /* Fill common fields */ e -> pid = bpf_get_current_pid_tgid () >> 32 ; bpf_get_current_comm ( & e -> comm , sizeof ( e -> comm )); e -> type = CUDA_EVENT_MALLOC ; e -> is_return = is_return ; /* Fill event-specific data */ if ( is_return ) { e -> ret_val = ret_val ; } else { e -> mem . size = size ; } bpf_ringbuf_submit ( e , 0 ); return 0 ; } Enter fullscreen mode Exit fullscreen mode This function first reserves space in the ring buffer for our event. Then it fills in common fields like the process ID and name. For a malloc event, we store either the requested size (on function entry) or the return value (on function exit). Finally, we submit the event to the ring buffer. The actual probes are attached to CUDA functions using SEC annotations. For cudaMalloc, we have: SEC ( "uprobe" ) int BPF_KPROBE ( cuda_malloc_enter , void ** ptr , size_t size ) { return submit_malloc_event ( size , false , 0 ); } SEC ( "uretprobe" ) int BPF_KRETPROBE ( cuda_malloc_exit , int ret ) { return submit_malloc_event ( 0 , true , ret ); } Enter fullscreen mode Exit fullscreen mode The first function is called when cudaMalloc is entered, capturing the requested size. The second is called when cudaMalloc returns, capturing the error code. This pattern is repeated for each CUDA function we want to trace. One interesting case is cudaMemcpy , which transfers data between host and device: SEC ( "uprobe" ) int BPF_KPROBE ( cuda_memcpy_enter , void * dst , const void * src , size_t size , int kind ) { return submit_memcpy_event ( size , kind , false , 0 ); } Enter fullscreen mode Exit fullscreen mode Here, we capture not just the size but also the "kind" parameter, which indicates the direction of the transfer (host-to-device, device-to-host, or device-to-device). This gives us valuable information about data movement patterns. User-Space Application Details The user-space application ( cuda_events.c ) is responsible for loading the eBPF program, processing events from the ring buffer, and displaying them in a user-friendly format. First, the program parses command-line arguments to configure its behavior: static struct env { bool verbose ; bool print_timestamp ; char * cuda_library_path ; bool include_returns ; int target_pid ; } env = { . print_timestamp = true , . include_returns = true , . cuda_library_path = NULL , . target_pid = - 1 , }; Enter fullscreen mode Exit fullscreen mode This structure stores configuration options like whether to print timestamps or include return probes. The default values provide a sensible starting point. The program uses libbpf to load and attach the eBPF program to CUDA functions: int attach_cuda_func ( struct cuda_events_bpf * skel , const char * lib_path , const char * func_name , struct bpf_program * prog_entry , struct bpf_program * prog_exit ) { /* Attach entry uprobe */ if ( prog_entry ) { uprobe_opts . func_name = func_name ; struct bpf_link * link = bpf_program__attach_uprobe_opts ( prog_entry , env . target_pid , lib_path , 0 , & uprobe_opts ); /* Error handling... */ } /* Attach exit uprobe */ if ( prog_exit ) { /* Similar for return probe... */ } } Enter fullscreen mode Exit fullscreen mode This function takes a function name (like "cudaMalloc") and the corresponding eBPF programs for entry and exit. It then attaches these programs as uprobes to the specified library. One of the most important functions is handle_event , which processes events from the ring buffer: static int handle_event ( void * ctx , void * data , size_t data_sz ) { const struct event * e = data ; struct tm * tm ; char ts [ 32 ]; char details [ MAX_DETAILS_LEN ]; time_t t ; /* Skip return probes if requested */ if ( e -> is_return && ! env . include_returns ) return 0 ; time ( & t ); tm = localtime ( & t ); strftime ( ts , sizeof ( ts ), "%H:%M:%S" , tm ); get_event_details ( e , details , sizeof ( details )); if ( env . print_timestamp ) { printf ( "%-8s " , ts ); } printf ( "%-16s %-7d %-20s %8s %s \n " , e -> comm , e -> pid , event_type_str ( e -> type ), e -> is_return ? "[EXIT]" : "[ENTER]" , details ); return 0 ; } Enter fullscreen mode Exit fullscreen mode This function formats and displays event information, including timestamps, process details, event type, and specific parameters or return values. The get_event_details function converts raw event data into human-readable form: static void get_event_details ( const struct event * e , char * details , size_t len ) { switch ( e -> type ) { case CUDA_EVENT_MALLOC : if ( ! e -> is_return ) snprintf ( details , len , "size=%zu bytes" , e -> mem . size ); else snprintf ( details , len , "returned=%s" , cuda_error_str ( e -> ret_val )); break ; /* Similar cases for other event types... */ } } Enter fullscreen mode Exit fullscreen mode This function handles each event type differently. For example, a malloc event shows the requested size on entry and the error code on exit. The main event loop is remarkably simple: while ( ! exiting ) { err = ring_buffer__poll ( rb , 100 /* timeout, ms */ ); /* Error handling... */ } Enter fullscreen mode Exit fullscreen mode This polls the ring buffer for events, calling handle_event for each one. The 100ms timeout ensures the program remains responsive to signals like Ctrl+C. CUDA Error Handling and Reporting An important aspect of our tracer is translating CUDA error codes into human-readable messages. CUDA has over 100 different error codes, from simple ones like "out of memory" to complex ones like "unsupported PTX version." Our tool includes a comprehensive cuda_error_str function that maps these numeric codes to string descriptions: static const char * cuda_error_str ( int error ) { switch ( error ) { case 0 : return "Success" ; case 1 : return "InvalidValue" ; case 2 : return "OutOfMemory" ; /* Many more error codes... */ default: return "Unknown" ; } } Enter fullscreen mode Exit fullscreen mode This makes the output much more useful for debugging. Instead of seeing "error 2", you'll see "OutOfMemory", which immediately tells you what went wrong. Compilation and Execution Building the tracer is straightforward with the provided Makefile: # Build both the tracer and the example make Enter fullscreen mode Exit fullscreen mode This creates two binaries: cuda_events : The eBPF-based CUDA tracing tool basic02 : A simple CUDA example application The build system is smart enough to detect your GPU architecture using nvidia-smi and compile the CUDA code with the appropriate flags. Running the tracer is just as easy: # Start the tracing tool sudo ./cuda_events -p ./basic02 # In another terminal, run the CUDA example ./basic02 Enter fullscreen mode Exit fullscreen mode You can also trace a specific process by PID: # Run the CUDA example ./basic02 & PID = $! # Start the tracing tool with PID filtering sudo ./cuda_events -p ./basic02 -d $PID Enter fullscreen mode Exit fullscreen mode The example output shows detailed information about each CUDA operation: Using CUDA library: ./basic02 TIME PROCESS PID EVENT TYPE DETAILS 17:35:41 basic02 12345 cudaMalloc [ENTER] size=4000 bytes 17:35:41 basic02 12345 cudaMalloc [EXIT] returned=Success 17:35:41 basic02 12345 cudaMalloc [ENTER] size=4000 bytes 17:35:41 basic02 12345 cudaMalloc [EXIT] returned=Success 17:35:41 basic02 12345 cudaMemcpy [ENTER] size=4000 bytes, kind=1 17:35:41 basic02 12345 cudaMemcpy [EXIT] returned=Success 17:35:41 basic02 12345 cudaLaunchKernel [ENTER] func=0x7f1234567890 17:35:41 basic02 12345 cudaLaunchKernel [EXIT] returned=Success 17:35:41 basic02 12345 cudaMemcpy [ENTER] size=4000 bytes, kind=2 17:35:41 basic02 12345 cudaMemcpy [EXIT] returned=Success 17:35:41 basic02 12345 cudaFree [ENTER] ptr=0x7f1234568000 17:35:41 basic02 12345 cudaFree [EXIT] returned=Success 17:35:41 basic02 12345 cudaFree [ENTER] ptr=0x7f1234569000 17:35:41 basic02 12345 cudaFree [EXIT] returned=Success Enter fullscreen mode Exit fullscreen mode This output shows the typical flow of a CUDA application: Allocate memory on the device Copy data from host to device (kind=1) Launch a kernel to process the data Copy results back from device to host (kind=2) Free device memory benchmark We also provide a benchmark tool to test the performance of the tracer and the latency of the CUDA API calls. make sudo ./cuda_events -p ./bench ./bench Enter fullscreen mode Exit fullscreen mode When there is no tracing, the result is like this: Data size: 1048576 bytes (1024 KB) Iterations: 10000 Summary (average time per operation): ----------------------------------- cudaMalloc: 113.14 µs cudaMemcpyH2D: 365.85 µs cudaLaunchKernel: 7.82 µs cudaMemcpyD2H: 393.55 µs cudaFree: 0.00 µs Enter fullscreen mode Exit fullscreen mode When the tracer is attached, the result is like this: Data size: 1048576 bytes (1024 KB) Iterations: 10000 Summary (average time per operation): ----------------------------------- cudaMalloc: 119.81 µs cudaMemcpyH2D: 367.16 µs cudaLaunchKernel: 8.77 µs cudaMemcpyD2H: 383.66 µs cudaFree: 0.00 µs Enter fullscreen mode Exit fullscreen mode The tracer adds about 2us overhead to each CUDA API call, which is negligible for most cases. To further reduce the overhead, you can try using the bpftime userspace runtime to optimize the eBPF program. Command Line Options The cuda_events tool supports these options: -v : Enable verbose output for debugging -t : Don't print timestamps -r : Don't show function returns (only show function entries) -p PATH : Specify the path to the CUDA runtime library or application -d PID : Trace only the specified process ID Next Steps Once you're comfortable with this basic CUDA tracing tool, you could extend it to: Add support for more CUDA API functions Add timing information to analyze performance bottlenecks Implement correlation between related operations (e.g., matching mallocs with frees) Create visualizations of CUDA operations for easier analysis Add support for other GPU frameworks like OpenCL or ROCm For more detail about the cuda example and tutorial, you can checkout out repo and the code in https://github.com/eunomia-bpf/basic-cuda-tutorial The code of this tutorial is in https://github.com/eunomia-bpf/bpf-developer-tutorial/tree/main/src/47-cuda-events References CUDA Programming Guide: https://docs.nvidia.com/cuda/cuda-c-programming-guide/ NVIDIA CUDA Runtime API: https://docs.nvidia.com/cuda/cuda-runtime-api/ libbpf Documentation: https://libbpf.readthedocs.io/ Linux uprobes Documentation: https://www.kernel.org/doc/Documentation/trace/uprobetracer.txt eGPU: eBPF on GPUs: https://dl.acm.org/doi/10.1145/3723851.3726984 bpftime GPU Examples: https://github.com/eunomia-bpf/bpftime/tree/master/example/gpu If you'd like to dive deeper into eBPF, check out our tutorial repository at https://github.com/eunomia-bpf/bpf-developer-tutorial or visit our website at https://eunomia.dev/tutorials/ . 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Hide child comments as well Confirm For further actions, you may consider blocking this person and/or reporting abuse 云微 Follow know nothing about the world, but trying to keep learning | building eunomia.dev Joined Aug 15, 2023 More from 云微 eBPF Tutorial: BPF Iterators for Kernel Data Export # ebpf # iterator # kernel eBPF Tutorial by Example: BPF Arena for Zero-Copy Shared Memory # ebpf # arena # memory eBPF Tutorial: Transparent Text Replacement in File Reads # ebpf # kernel # tracing 💎 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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https://github.com/features/copilot#start-of-content | GitHub Copilot · Your AI pair programmer · GitHub Skip to content Navigation Menu Toggle navigation Sign in Platform AI CODE CREATION GitHub Copilot Write better code with AI GitHub Spark Build and deploy intelligent apps GitHub Models Manage and compare prompts MCP Registry New Integrate external tools DEVELOPER WORKFLOWS Actions Automate any workflow Codespaces Instant dev environments Issues Plan and track work Code Review Manage code changes APPLICATION SECURITY GitHub Advanced Security Find and fix vulnerabilities Code security Secure your code as you build Secret protection Stop leaks before they start EXPLORE Why GitHub Documentation Blog Changelog Marketplace View all features Solutions BY COMPANY SIZE Enterprises Small and medium teams Startups Nonprofits BY USE CASE App Modernization DevSecOps DevOps CI/CD View all use cases BY INDUSTRY Healthcare Financial services Manufacturing Government View all industries View all solutions Resources EXPLORE BY TOPIC AI Software Development DevOps Security View all topics EXPLORE BY TYPE Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills SUPPORT & SERVICES Documentation Customer support Community forum Trust center Partners Open Source COMMUNITY GitHub Sponsors Fund open source developers PROGRAMS Security Lab Maintainer Community Accelerator Archive Program REPOSITORIES Topics Trending Collections Enterprise ENTERPRISE SOLUTIONS Enterprise platform AI-powered developer platform AVAILABLE ADD-ONS GitHub Advanced Security Enterprise-grade security features Copilot for Business Enterprise-grade AI features Premium Support Enterprise-grade 24/7 support Pricing Search or jump to... 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Get started for free See plans & pricing Pause Companies using Copilot Coyote Logistics Duolingo General Motors Mercado Libre Shopify Stripe CocaCola Coyote Logistics Duolingo General Motors Mercado Libre Shopify Stripe CocaCola Go beyond one-size-fits-all Choose from leading LLMs optimized for speed, accuracy, or cost. Use your agents, your way Use GitHub Copilot, your own custom agents, or the third-party ones you already rely on. Stay in your flow Copilot works where you do—in GitHub, your IDE, project tools, chat apps, and custom MCP servers. Workflow Code, command, and collaborate AI that works where you do, whether in your editor, on the command line, or across GitHub. Make your editor your most powerful accelerator Copilot in your editor does it all, from explaining concepts and completing code, to proposing edits and validating files with agent mode. Explore Copilot in the IDE Ship faster with AI that codes with you Assign issues directly to Copilot and let it autonomously write code, create pull requests, and respond to feedback in the background. Explore Copilot coding agent Bring AI to your terminal workflow Direct Copilot in the terminal using natural language and watch it plan, build, and execute complex workflows powered by your GitHub context. Explore GitHub Copilot CLI Grupo Boticário increases developer productivity by 94% with Copilot Read customer story Tailor-made for your organization Shape Copilot to your business needs. Customize what it knows, how it acts, and where it connects. Turn Copilot into a project expert Scale knowledge and keep teams consistent by creating a shared source of truth that includes context from your docs and repositories. Try Copilot Spaces Manage agent usage with enterprise-grade controls Track activity with detailed audit logs and enforce governance by managing agents from a single control plane. Read the docs Secure your MCP integrations Control which MCP servers developers can access from their IDEs, and use allow lists to prevent unauthorized access. Read the docs Plans Take flight with GitHub Copilot For individuals For businesses Free A fast way to get started with GitHub Copilot. $ 0 USD Get started Open in VS Code What's included: 50 agent mode or chat requests per month 2,000 completions per month Access to Haiku 4.5, GPT-4.1, and more Pro Most popular Accelerate workflows with GitHub Copilot. $ 10 USD per month or $100 per year Try for 30 days free Everything in Free and: Coding agent Unlimited agent mode and chats with GPT-5 mini Unlimited code completions Access to models from Anthropic, Google, OpenAI, and more 300 premium requests to use latest models, with the option to buy more Free for verified students, teachers, and maintainers of popular open source projects. Learn more Pro+ Scale with agents and more models. $ 39 USD per month or $390 per year Get started Everything in Pro and: Access to all models, including Claude Opus 4.1 and more 5x more premium requests than Pro to use the latest models, with the option to buy more Access to GitHub Spark Codex IDE extension support in VS Code GitHub Copilot is available on your favorite platforms: GitHub GitHub VS Code VS Code Visual Studio Visual Studio Xcode Xcode JetBrains IDEs JetBrains IDEs Neovim Neovim Azure Data Studio Azure Data Studio Eclipse Eclipse Raycast Raycast Compare all plan features Get the most out of GitHub Copilot Preview the latest features Be the first to explore what’s next for GitHub Copilot. See previews Explore the GitHub Blog Discover the latest in software development with insights, best practices, and more. Read Blog Visit the GitHub Copilot Trust Center Gain peace of mind with our security, privacy, and responsible AI policies. Go to Trust Center Frequently asked questions General What is GitHub Copilot? GitHub Copilot transforms the developer experience. Backed by the leaders in AI, GitHub Copilot provides contextualized assistance throughout the software development lifecycle, from code completions and chat assistance in the IDE to code explanations and answers to docs in GitHub and more. With GitHub Copilot elevating their workflow, developers can focus on: value, innovation, and happiness. GitHub Copilot enables developers to focus more energy on problem solving and collaboration and spend less effort on the mundane and boilerplate. That’s why developers who use GitHub Copilot report up to 75% higher satisfaction with their jobs than those who don’t and are up to 55% more productive at writing code without sacrifice to quality, which all adds up to engaged developers shipping great software faster. GitHub Copilot integrates with leading editors, including Visual Studio Code, Visual Studio, JetBrains IDEs, and Neovim, and, unlike other AI coding assistants, is natively built into GitHub. Growing to millions of individual users and tens of thousands of business customers, GitHub Copilot is the world’s most widely adopted AI developer tool and the competitive advantage developers ask for by name. Who is eligible to access GitHub Copilot for free? GitHub Copilot Free is a new free pricing tier with limited functionality for individual developers. Users assigned a Copilot Business or Copilot Enterprise seat are not eligible for access. Users with access to Copilot Pro through a paid subscription, trial, or through an existing verified OSS, student, faculty, or MVP account may elect to use Free instead. What languages, IDEs, and platforms does GitHub Copilot support? GitHub Copilot is trained on all languages that appear in public repositories. For each language, the quality of suggestions you receive may depend on the volume and diversity of training data for that language. For example, JavaScript is well-represented in public repositories and is one of GitHub Copilot’s best supported languages. Languages with less representation in public repositories may produce fewer or less robust suggestions. GitHub Copilot is available as an extension in Visual Studio Code, Visual Studio, Vim, Neovim, the JetBrains suite of IDEs, and Azure Data Studio. Although code completion functionality is available across all these extensions, chat functionality is currently available only in Visual Studio Code, JetBrains, and Visual Studio. GitHub Copilot is also supported in terminals through GitHub CLI and as a chat integration in Windows Terminal Canary. With the GitHub Copilot Enterprise plan, GitHub Copilot is natively integrated into GitHub.com. All plans are supported in GitHub Copilot in GitHub Mobile. GitHub Mobile for Copilot Pro and Copilot Business have access to Bing and public repository code search. Copilot Enterprise in GitHub Mobile gives you additional access to your organization's knowledge. Does GitHub Copilot “copy/paste”? No, GitHub Copilot generates suggestions using probabilistic determination. When thinking about intellectual property and open source issues, it is critical to understand how GitHub Copilot really works. The AI models that create GitHub Copilot’s suggestions may be trained on public code, but do not contain any code. When they generate a suggestion, they are not “copying and pasting” from any codebase. To generate a code suggestion, the GitHub Copilot extension begins by examining the code in your editor—focusing on the lines just before and after your cursor, but also information including other files open in your editor and the URLs of repositories or file paths to identify relevant context. That information is sent to GitHub Copilot’s model, to make a probabilistic determination of what is likely to come next and generate suggestions. To generate a suggestion for chat in the code editor, the GitHub Copilot extension creates a contextual prompt by combining your prompt with additional context including the code file open in your active document, your code selection, and general workspace information, such as frameworks, languages, and dependencies. That information is sent to GitHub Copilot’s model, to make a probabilistic determination of what is likely to come next and generate suggestions. To generate a suggestion for chat on GitHub.com, such as providing an answer to a question from your chat prompt, GitHub Copilot creates a contextual prompt by combining your prompt with additional context including previous prompts, the open pages on GitHub.com as well as retrieved context from your codebase or Bing search. That information is sent to GitHub Copilot’s model, to make a probabilistic determination of what is likely to come next and generate suggestions. What are the differences between the GitHub Copilot Business, GitHub Copilot Enterprise, and GitHub Copilot Individual plans? GitHub Copilot has multiple offerings for organizations and an offering for individual developers. All the offerings include both code completion and chat assistance. The primary differences between the organization offerings and the individual offering are license management, policy management, and IP indemnity. Organizations can choose between GitHub Copilot Business and GitHub Copilot Enterprise. GitHub Copilot Business primarily features GitHub Copilot in the coding environment - that is the IDE, CLI and GitHub Mobile. GitHub Copilot Enterprise includes everything in GitHub Copilot Business. It also adds an additional layer of customization for organizations and integrates into GitHub.com as a chat interface to allow developers to converse with GitHub Copilot throughout the platform. GitHub Copilot Enterprise can index an organization’s codebase for a deeper understanding of the customer’s knowledge for more tailored suggestions and will offer customers access to fine-tuned custom, private models for code completion. GitHub Copilot Individual is designed for individual developers, freelancers, students, educators, and open source maintainers. The plan includes all the features of GitHub Copilot Business except organizational license management, policy management, and IP indemnity. What data has GitHub Copilot been trained on? GitHub Copilot is powered by generative AI models developed by GitHub, OpenAI, and Microsoft. It has been trained on natural language text and source code from publicly available sources, including code in public repositories on GitHub. Which plan includes GitHub Copilot Autofix? GitHub Copilot Autofix provides contextual explanations and code suggestions to help developers fix vulnerabilities in code, and is included in GitHub Advanced Security . What if I do not want GitHub Copilot? GitHub Copilot is entirely optional and requires you to opt in before gaining access. You can easily configure its usage directly in the editor, enabling or disabling it at any time. Additionally, you have control over which file types GitHub Copilot is active for. How do I control access to GitHub Copilot in my company? Access to Copilot Business and Enterprise is managed by your GitHub Administrator. They can control access to preview features, models, and set GitHub Copilot policies for your organization. Additionally, you can use your network firewall to explicitly allow access to Copilot Business and/or block access to Copilot Pro or Free. For more details, refer to the documentation . Plans & pricing What are the differences between the Free, Pro, Business, and Enterprise plans? GitHub Copilot has multiple offerings for organizations and an offering for individual developers. All the offerings include both code completion and chat assistance. The primary differences between the organization offerings and the individual offering are license management, policy management, and IP indemnity. Organizations can choose between GitHub Copilot Business and GitHub Copilot Enterprise. GitHub Copilot Business primarily features GitHub Copilot in the coding environment - that is the IDE, CLI and GitHub Mobile. GitHub Copilot Enterprise includes everything in GitHub Copilot Business. It also adds an additional layer of customization for organizations and integrates into GitHub.com as a chat interface to allow developers to converse with Copilot throughout the platform. GitHub Copilot Enterprise can index an organization’s codebase for a deeper understanding of the customer’s knowledge for more tailored suggestions and will offer customers access to fine-tuned custom, private models for code completion. GitHub Copilot Pro is designed for individual developers, freelancers, students, educators, and open source maintainers. The plan includes all the features of GitHub Copilot Business except organizational license management, policy management, and IP indemnity. How can I upgrade my GitHub Copilot Free license to Copilot Pro? If you're on the Free plan, you can upgrade to Pro through your Copilot settings page or directly on the Copilot marketing page . What is included in GitHub Copilot Free? GitHub Copilot Free users are limited to 2000 completions and 50 chat requests (including Copilot Edits). Which plan includes GitHub Copilot Autofix? GitHub Copilot Autofix provides contextual explanations and code suggestions to help developers fix vulnerabilities in code, and is included in GitHub Advanced Security and available to all public repositories. Can users in my organization use Copilot code reviews for their pull requests if they don’t have a Copilot license? Organizations can now enable Copilot code review on all pull requests on github.com—including pull requests from users who are not assigned a Copilot license . This allows you to extend the quality and rich analysis of Copilot code review to all pull requests, regardless of its author, giving you complete coverage and confidence that pull requests have been reviewed. To enable this functionality, an enterprise/org admin must first have Copilot enabled and then enabled two policies. Note : This capability is not supported for Copilot code reviews in VS Code or other IDEs. How am I billed for Copilot code review usage from users without a Copilot license? Usage from non-licensed users is billed directly to your organization as "premium requests" (PRUs) at the standard multiplier rate for Copilot code review. This flexible model allows you to get full review coverage on every PR without needing to purchase a full Copilot seat for non-development contributors who may not need Copilot. Usage from your existing licensed users simply continues to draw from their included monthly allowance as it does today. Is Copilot code review usage from users without a Copilot license enabled by default? How do I control the cost? No. This capability is off by default and gives the enterprise admin control to enable or disable. An admin must explicitly enable two separate policies to activate: ‘Premium request paid usage’ must be enabled to allow enterprises to be charged for premium requests exceeding their included usage. A new Copilot code review policy ( ‘Allow members without a Copilot license to use Copilot code review in github.com’ ) must also be enabled. We encourage admins to set up budgets to control spending on our metered products , especially customers who have not enabled the ‘Premium request paid usage’ policy in the past. You can track all premium request usage in your billing dashboard to monitor and control spending. Privacy What personal data does GitHub Copilot process? GitHub Copilot processes personal data based on how Copilot is accessed and used: whether via GitHub.com, mobile app, extensions, or one of various IDE extensions, or through features like suggestions for the command line interface (CLI), IDE code completions, or personalized chat on GitHub.com. The types of personal data processed may include: User Engagement Data: This includes pseudonymous identifiers captured on user interactions with Copilot, such as accepted or dismissed completions, error messages, system logs, and product usage metrics. Prompts: These are inputs for chat or code, along with context, sent to Copilot's AI to generate suggestions. Suggestions: These are the AI-generated code lines or chat responses provided to users based on their prompts. Feedback Data: This comprises real-time user feedback, including reactions (e.g., thumbs up/down) and optional comments, along with feedback from support tickets. Does GitHub use Copilot Business or Enterprise data to train GitHub’s model? No. GitHub does not use either Copilot Business or Enterprise data to train its models. How does GitHub use the Copilot data? How GitHub uses Copilot data depends on how the user accesses Copilot and for what purpose. Users can access GitHub Copilot through the web, extensions, mobile apps, computer terminal, and various IDEs (Integrated Development Environments). GitHub generally uses personal data to: Deliver, maintain, and update the services as per the customer's configuration and usage, to ensure personalized experiences and recommendations Troubleshoot, which involves preventing, detecting, resolving, and mitigating issues, including security incidents and product-related problems, by fixing software bugs and maintaining the online services' functionality and up-to-dateness Enhance user productivity, reliability, effectiveness, quality, privacy, accessibility, and security by keeping the service current and operational These practices are outlined in GitHub’s Data Protection Agreement ( DPA) , which details our data handling commitments to our data controller customers. GitHub also uses certain personal data with customer authorization under the DPA, for the following purposes: Billing and account management To comply with and resolve legal obligations For abuse detection, prevention, and protection, virus scanning, and scanning to detect violations of terms of service To generate summary reports for calculating employee commissions and partner incentives To produce aggregated reports for internal use and strategic planning, covering areas like forecasting, revenue analysis, capacity planning, and product strategy, For details on GitHub's data processing activities as a controller, particularly for Copilot Pro customers, refer to the GitHub Privacy Statement . How long does GitHub retain Copilot data for Business and Enterprise customers? If and for how long GitHub’s retains Copilot data depends on how a Copilot user accesses Copilot and for what purpose. The default settings for Copilot Business and Enterprise Customers are as follows: Access through IDE for Chat and Code Completions: Prompts and Suggestions: Not retained User Engagement Data: Kept for two years. Feedback Data: Stored for as long as needed for its intended purpose. All other GitHub Copilot access and use: Prompts and Suggestions: Retained for 28 days. User Engagement Data: Kept for two years. Feedback Data: Stored for as long as needed for its intended purpose. Why do some Copilot features retain prompts and suggestions? Retaining prompts and suggestions is necessary for chat on github.com, mobile, and CLI Copilot because those features’ effectiveness depends on using thread history to improve responses. The Copilot model requires access to previous interactions to deliver accurate and relevant suggestions. Does GitHub Copilot support compliance with the GDPR and other data protection laws? Yes. GitHub and customers can enter a Data Protection Agreement that supports compliance with the GDPR and similar legislation. Does GitHub Copilot ever output personal data? While we've designed GitHub Copilot with privacy in mind, the expansive definition of personal data under legislation like the EU’s General Data Protection Regulation (GDPR) means we can't guarantee it will never output such data. The Large Language Model (LLM) powering GitHub Copilot was trained on public code and there were instances in our tests where the tool made suggestions resembling personal data. These suggestions were typically synthesized and not tied to real individuals. How does Copilot allow users to access, alter or delete personal data? These actions are available to Copilot users as described in the GitHub Privacy Statement . Responsible AI What are the intellectual property considerations when using GitHub Copilot? The primary IP considerations for GitHub Copilot relate to copyright. The model that powers Copilot is trained on a broad collection of publicly accessible code, which may include copyrighted code, and Copilot’s suggestions (in rare instances) may resemble the code its model was trained on. Here’s some basic information you should know about these considerations: Copyright law permits the use of copyrighted works to train AI models: Countries around the world have provisions in their copyright laws that enable machines to learn, understand, extract patterns, and facts from copyrighted materials, including software code. For example, the European Union, Japan, and Singapore, have express provisions permitting machine learning to develop AI models. Other countries including Canada, India, and the United States also permit such training under their fair use/fair dealing provisions. GitHub Copilot’s AI model was trained with the use of code from GitHub’s public repositories—which are publicly accessible and within the scope of permissible copyright use. What about copyright risk in suggestions? In rare instances (less than 1% based on GitHub’s research), suggestions from GitHub may match examples of code used to train GitHub’s AI model. Again, Copilot does not “look up” or “copy and paste” code, but is instead using context from a user’s workspace to synthesize and generate a suggestion. Our experience shows that matching suggestions are most likely to occur in two situations: (i) when there is little or no context in the code editor for Copilot’s model to synthesize, or (ii) when a matching suggestion represents a common approach or method. If a code suggestion matches existing code, there is risk that using that suggestion could trigger claims of copyright infringement, which would depend on the amount and nature of code used, and the context of how the code is used. In many ways, this is the same risk that arises when using any code that a developer does not originate, such as copying code from an online source, or reusing code from a library. That is why responsible organizations and developers recommend that users employ code scanning policies to identify and evaluate potential matching code. In Copilot, you can opt whether to allow Copilot to suggest code completions that match publicly available code on GitHub.com. For more information, see " Configuring GitHub Copilot settings on GitHub.com ". If you have allowed suggestions that match public code, GitHub Copilot can provide you with details about the matching code when you accept such suggestions. Matching code does not necessarily mean copyright infringement, so it is ultimately up to the user to determine whether to use the suggestion, and what and who to attribute (along with other license compliance) in appropriate circumstances. Does GitHub Copilot include a filtering mechanism to mitigate risk? Yes, GitHub Copilot does include an optional code referencing filter to detect and suppress certain suggestions that match public code on GitHub. GitHub has created a duplication detection filter to detect and suppress suggestions that contain code segments over a certain length that match public code on GitHub. This filter can be enabled by the administrator for your enterprise and it can apply for all organizations within your enterprise, or the administrator can defer control to individual organizations. With the filter enabled, Copilot checks code suggestions for matches or near-matches against public code on GitHub of 65 lexemes or more (on average,150 characters). If there is a match, the suggestion will not be shown to the user. In addition to off-topic, harmful, and offensive output filters, GitHub Copilot also scans the outputs for vulnerable code. Does GitHub Copilot include features to make it easier for users to identify potentially relevant open source licenses for matching suggestions? Yes, GitHub Copilot is previewing a code referencing feature as an additional tool to assist users to find and review potentially relevant open source licenses. Code referencing is currently available in Visual Studio Code. This feature searches across public GitHub repositories for code that matches a Copilot suggestion. If there’s a match, users will find its information displayed in the Copilot console log, including where the match occurred, any applicable licenses, and a deep link to learn more. The deep link will take users to a navigable page on GitHub.com to browse examples of the code match and their repository licenses, and see how many repositories—including ones without licenses—that code appears in, as well as links to those repositories. Copilot users can review this information to determine whether the applicable suggestions are suitable for use, and whether additional measures may be necessary to use them. Who owns the suggestions provided by GitHub Copilot? We don’t determine whether a suggestion is capable of being owned, but we are clear that GitHub does not claim ownership of a suggestion. Whether a suggestion generated by an AI model can be owned depends on many factors (e.g. the intellectual property law in the relevant country, the length of the suggestion, the extent that suggestion is considered ‘functional’ instead of expressive, etc). If a suggestion is capable of being owned, our terms are clear: GitHub does not claim ownership. GitHub does not claim ownership of any suggestion. In certain cases, it is possible for Copilot to produce similar suggestions to different users. For example, two unrelated users both starting new files to code the quicksort algorithm in Java will likely get the same suggestion. The possibility of providing similar suggestions to multiple users is a common part of generative AI systems. Can GitHub Copilot introduce insecure code in its suggestions? Public code may contain insecure coding patterns, bugs, or references to outdated APIs or idioms. When GitHub Copilot synthesizes code suggestions based on this data, it can also synthesize code that contains these undesirable patterns. Copilot has filters in place that either block or notify users of insecure code patterns that are detected in Copilot suggestions. These filters target the most common vulnerable coding patterns, including hardcoded credentials , SQL injections , and path injections . Additionally, in recent years we’ve provided tools such as GitHub Advanced Security, GitHub Actions, Dependabot, and CodeQL to open source projects to help improve code quality. Of course, you should always use GitHub Copilot together with good testing and code review practices and security tools, as well as your own judgment. Is GitHub Copilot intended to fully automate code generation and replace developers? No. Copilot is a tool intended to make developers more efficient. It’s not intended to replace developers, who should continue to apply the same sorts of safeguards and diligence they would apply with regard to any third-party code of unknown origin. The product is called “Copilot” not “Autopilot” and it’s not intended to generate code without oversight. You should use exactly the same sorts of safeguards and diligence with Copilot’s suggestions as you would use with any third-party code. Identifying best practices for use of third party code is beyond the scope of this section. That said, whatever practices your organization currently uses – rigorous functionality testing, code scanning, security testing, etc. – you should continue these policies with Copilot’s suggestions. Moreover, you should make sure your code editor or editor does not automatically compile or run generated code before you review it. Can GitHub Copilot users simply use suggestions without concern? Not necessarily. GitHub Copilot users should align their use of Copilot with their respective risk tolerances. As noted above, GitHub Copilot is not intended to replace developers, or their individual skill and judgment, and is not intended to fully automate the process of code development. The same risks that apply to the use of any third-party code apply to the use of Copilot’s suggestions. Depending on your particular use case, you should consider implementing the protections discussed above. It is your responsibility to assess what is appropriate for the situation and implement appropriate safeguards. You’re entitled to IP indemnification from GitHub for the unmodified suggestions when Copilot’s filtering is enabled. If you do elect to enable this feature, the copyright responsibility is ours, not our customers. As part of our ongoing commitment to responsible AI, GitHub and Microsoft extends our IP indemnity and protection support to our customers who are empowering their teams with GitHub Copilot. See Microsoft's Copilot Copyright Commitment for more details. Does GitHub Copilot support accessibility features? We are conducting internal testing of GitHub Copilot’s ease of use by developers with disabilities and working to ensure that GitHub Copilot is accessible to all developers. Please feel free to share your feedback on GitHub Copilot accessibility in our feedback forum . Does GitHub Copilot produce offensive outputs? GitHub Copilot includes filters to block offensive language in the prompts and to avoid synthesizing suggestions in sensitive contexts. We continue to work on improving the filter system to more intelligently detect and remove offensive outputs. If you see offensive outputs, please report them directly to copilot-safety@github.com so that we can improve our safeguards. GitHub takes this challenge very seriously and we are committed to addressing it. Will GitHub Copilot work as well using languages other than English? Given public sources are predominantly in English, GitHub Copilot will likely work less well in scenarios where natural language prompts provided by the developer are not in English and/or are grammatically incorrect. Therefore, non-English speakers might experience a lower quality of service. What data has GitHub Copilot been trained on? GitHub Copilot is powered by generative AI models developed by GitHub, OpenAI, and Microsoft. It has been trained on natural language text and source code from publicly available sources, including code in public repositories on GitHub. Data from June 2023. Additional research can be found here . Feature in public beta for Copilot Pro and Business plans. Requires use of repositories, issues, discussions, Actions, and other features of GitHub. Authentication with SAML single sign-on (SSO) available for organizations using GitHub Enterprise Cloud. General Plans & pricing Privacy Responsible AI General What is GitHub Copilot? GitHub Copilot transforms the developer experience. Backed by the leaders in AI, GitHub Copilot provides contextualized assistance throughout the software development lifecycle, from code completions and chat assistance in the IDE to code explanations and answers to docs in GitHub and more. With GitHub Copilot elevating their workflow, developers can focus on: value, innovation, and happiness. GitHub Copilot enables developers to focus more energy on problem solving and collaboration and spend less effort on the mundane and boilerplate. That’s why developers who use GitHub Copilot report up to 75% higher satisfaction with their jobs than those who don’t and are up to 55% more productive at writing code without sacrifice to quality, which all adds up to engaged developers shipping great software faster. GitHub Copilot integrates with leading editors, including Visual Studio Code, Visual Studio, JetBrains IDEs, and Neovim, and, unlike other AI coding assistants, is natively built into GitHub. Growing to millions of individual users and tens of thousands of business customers, GitHub Copilot is the world’s most widely adopted AI developer tool and the competitive advantage developers ask for by name. Who is eligible to access GitHub Copilot for free? GitHub Copilot Free is a new free pricing tier with limited functionality for individual developers. Users assigned a Copilot Business or Copilot Enterprise seat are not eligible for access. Users with access to Copilot Pro through a paid subscription, trial, or through an existing verified OSS, student, faculty, or MVP account may elect to use Free instead. What languages, IDEs, and platforms does GitHub Copilot support? GitHub Copilot is trained on all languages that appear in public repositories. For each language, the quality of suggestions you receive may depend on the volume and diversity of training data for that language. For example, JavaScript is well-represented in public repositories and is one of GitHub Copilot’s best supported languages. Languages with less representation in public repositories may produce fewer or less robust suggestions. GitHub Copilot is available as an extension in Visual Studio Code, Visual Studio, Vim, Neovim, the JetBrains suite of IDEs, and Azure Data Studio. Although code completion functionality is available across all these extensions, chat functionality is currently available only in Visual Studio Code, JetBrains, and Visual Studio. GitHub Copilot is also supported in terminals through GitHub CLI and as a chat integration in Windows Terminal Canary. With the GitHub Copilot Enterprise plan, GitHub Copilot is natively integrated into GitHub.com. All plans are supported in GitHub Copilot in GitHub Mobile. GitHub Mobile for Copilot Pro and Copilot Business have access to Bing and public repository code search. Copilot Enterprise in GitHub Mobile gives you additional access to your organization's knowledge. Does GitHub Copilot “copy/paste”? No, GitHub Copilot generates suggestions using probabilistic determination. When thinking about intellectual property and open source issues, it is critical to understand how GitHub Copilot really works. The AI models that create GitHub Copilot’s suggestions may be trained on public code, but do not contain any code. When they generate a suggestion, they are not “copying and pasting” from any codebase. To generate a code suggestion, the GitHub Copilot extension begins by examining the code in your editor—focusing on the lines just before and after your cursor, but also information including other files open in your editor and the URLs of repositories or file paths to identify relevant context. That information is sent to GitHub Copilot’s model, to make a probabilistic determination of what is likely to come next and generate suggestions. To generate a suggestion for chat in the code editor, the GitHub Copilot extension creates a contextual prompt by combining your prompt with additional context including the code file open in your active document, your code selection, and general workspace information, such as frameworks, languages, and dependencies. That information is sent to GitHub Copilot’s model, to make a probabilistic determination of what is likely to come next and generate suggestions. To generate a suggestion for chat on GitHub.com, such as providing an answer to a question from your chat prompt, GitHub Copilot creates a contextual prompt by combining your prompt with additional context including previous prompts, the open pages on GitHub.com as well as retrieved context from your codebase or Bing search. That information is sent to GitHub Copilot’s model, to make a probabilistic determination of what is likely to come next and generate suggestions. What are the differences between the GitHub Copilot Business, GitHub Copilot Enterprise, and GitHub Copilot Individual plans? GitHub Copilot has multiple offerings for organizations and an offering for individual developers. All the offerings include both code completion and chat assistance. The primary differences between the organization offerings and the individual offering are license management, policy management, and IP indemnity. Organizations can choose between GitHub Copilot Business and GitHub Copilot Enterprise. GitHub Copilot Business primarily features GitHub Copilot in the coding environment - that is the IDE, CLI and GitHub Mobile. GitHub Copilot Enterprise includes everything in GitHub Copilot Business. It also adds an additional layer of customization for organizations and integrates into GitHub.com as a chat interface to allow developers to converse with GitHub Copilot throughout the platform. GitHub Copilot Enterprise can index an organization’s codebase for a deeper understanding of the customer’s knowledge for more tailored suggestions and will offer customers access to fine-tuned custom, private models for code completion. GitHub Copilot Individual is designed for individual developers, freelancers, students, educators, and open source maintainers. The plan includes all the features of GitHub Copilot Business except organizational license management, policy management, and IP indemnity. What data has GitHub Copilot been trained on? GitHub Copilot is powered by generative AI models developed by GitHub, OpenAI, and Microsoft. It has been trained on natural language text and source code from publicly available sources, including code in public repositories on GitHub. Which plan includes GitHub Copilot Autofix? GitHub Copilot Autofix provides contextual explanations and code suggestions to help developers fix vulnerabilities in code, and is included in GitHub Advanced Security . What if I do not want GitHub Copilot? GitHub Copilot is entirely optional and requires you to opt in before gaining access. You can easily configure its usage directly in the editor, enabling or disabling it at any time. Additionally, you have control over which file types GitHub Copilot is active for. How do I control access to GitHub Copilot in my company? Access to Copilot Business and Enterprise is managed by your GitHub Administrator. They can control access to preview features, models, and set GitHub Copilot policies for your organization. Additionally, you can use your network firewall to explicitly allow access to Copilot Business and/or block access to Copilot Pro or Free. For more details, refer to the documentation . Plans & pricing What are the differences between the Free, Pro, Business, and Enterprise plans? GitHub Copilot has multiple offerings for organizations and an offering for individual developers. All the offerings include both code completion and chat assistance. The primary differences between the organization offerings and the individual offering are license management, policy management, and IP indemnity. Organizations can choose between GitHub Copilot Business and GitHub Copilot Enterprise. GitHub Copilot Business primarily features GitHub Copilot in the coding environment - that is the IDE, CLI and GitHub Mobile. GitHub Copilot Enterprise includes everything in GitHub Copilot Business. It also adds an additional layer of customization for organizations and integrates into GitHub.com as a chat interface to allow developers to converse with Copilot throughout the platform. GitHub Copilot Enterprise can index an organization’s codebase for a deeper understanding of the customer’s knowledge for more tailored suggestions and will offer customers access to fine-tuned custom, private models for code completion. GitHub Copilot Pro is designed for individual developers, freelancers, students, educators, and open source maintainers. The plan includes all the features of GitHub Copilot Business except organizational license management, policy management, and IP indemnity. How can I upgrade my GitHub Copilot Free license to Copilot Pro? If you're on the Free plan, you can upgrade to Pro through your Copilot settings page or directly on the Copilot marketing page . What is included in GitHub Copilot Free? GitHub Copilot Free users are limited to 2000 completions and 50 chat requests (including Copilot Edits). Which plan includes GitHub Copilot Autofix? GitHub Copilot Autofix provides contextual explanations and code suggestions to help developers fix vulnerabilities in code, and is included in GitHub Advanced Security and available to all public repositories. Can users in my organization use Copilot code reviews for their pull requests if they don’t have a Copilot license? Organizations can now enable Copilot code review on all pull requests on github.com—including pull requests from users who are not assigned a Copilot license . This allows you to extend the quality and rich analysis of Copilot code review to all pull requests, regardless of its author, giving you complete coverage and confidence that pull requests have been reviewed. To enable this functionality, an enterprise/org admin must first have Copilot enabled and then enabled two policies. Note : This capability is not supported for Copilot code reviews in VS Code or other IDEs. How am I billed for Copilot code review usage from users without a Copilot license? Usage from non-licensed users is billed directly to your organization as "premium requests" (PRUs) at the standard multiplier rate for Copilot code review. This flexible model allows you to get full review coverage on every PR without needing to purchase a full Copilot seat for non-development contributors who may not need Copilot. Usage from your existing licensed users simply continues to draw from their included monthly allowance as it does today. Is Copilot code review usage from users without a Copilot license enabled by default? How do I control the cost? No. This capability is off by default and gives the enterprise admin control to enable or disable. An admin must explicitly enable two separate policies to activate: ‘Premium request paid usage’ must be enabled to allow enterprises to be charged for premium requests exceeding their included usage. A new Copilot code review policy ( ‘Allow members without a Copilot license to use Copilot code review in github.com’ ) must also be enabled. We encourage admins to set up budgets to control spending on our metered products , especially customers who have not enabled the ‘Premium request paid usage’ policy in the past. You can track all premium request usage in your billing dashboard to monitor and control spending. Privacy What personal data does GitHub Copilot process? GitHub Copilot processes personal data based on how Copilot is accessed and used: whether via GitHub.com, mobile app, extensions, or one of various IDE extensions, or through features like suggestions for the command line interface (CLI), IDE code completions, or personalized chat on GitHub.com. The types of personal data processed may include: User Engagement Data: This includes pseudonymous identifiers captured on user interactions with Copilot, such as accepted or dismissed completions, error messages, system logs, and product usage metrics. Prompts: These are inputs for chat or code, along with context, sent to Copilot's AI to generate suggestions. Suggestions: These are the AI-generated code lines or chat responses provided to users based on their prompts. Feedback Data: This comprises real-time user feedback, including reactions (e.g., thumbs up/down) and optional comments, along with feedback from support tickets. Does GitHub use Copilot Business or Enterprise data to train GitHub’s model? No. GitHub does not use either Copilot Business or Enterprise data to train its models. How does GitHub use the Copilot data? How GitHub uses Copilot data depends on how the user accesses Copilot and for what purpose. Users can access GitHub Copilot through the web, extensions, mobile apps, computer terminal, and various IDEs (Integrated Development Environments). GitHub generally uses personal data to: Deliver, maintain, and update the services as per the customer's configuration and usage, to ensure personalized experiences and recommendations Troubleshoot, which involves preventing, detecting, resolving, and mitigating issues, including security incidents and product-related problems, by fixing software bugs and maintaining the online services' functionality and up-to-dateness Enhance user productivity, reliability, effectiveness, quality, privacy, accessibility, and security by keeping the service current and operational These practices are outlined in GitHub’s Data Protection Agreement ( DPA) , which details our data handling commitments to our data controller customers. GitHub also uses certain personal data with customer authorization under the DPA, for the following purposes: Billing and account management To comply with and resolve legal obligations For abuse detection, prevention, and protection, virus scanning, and scanning to detect violations of terms of service To generate summary reports for calculating employee commissions and partner incentives To produce aggregated reports for internal use and strategic planning, covering areas like forecasting, revenue analysis, capacity planning, and product strategy, For details on GitHub's data processing activities as a controller, particularly for Copilot Pro customers, refer to the GitHub Privacy Statement . How long does GitHub retain Copilot data for Business and Enterprise customers? If and for how long GitHub’s retains Copilot data depends on how a Copilot user accesses Copilot and for what purpose. The default settings for Copilot Business and Enterprise Customers are as follows: Access through IDE for Chat and Code Completions: Prompts and Suggestions: Not retained User Engagement Data: Kept for two years. Feedback Data: Stored for as long as needed for its intended purpose. All other GitHub Copilot access and use: Prompts and Suggestions: Retained for 28 days. User Engagement Data: Kept for two years. Feedback Data: Stored for as long as needed for its intended purpose. Why do some Copilot features retain prompts and suggestions? Retaining prompts and suggestions is necessary for chat on github.com, mobile, and CLI Copilot because those features’ effectiveness depends on using thread history to improve responses. The Copilot model requires access to previous interactions to deliver accurate and relevant suggestions. Does GitHub Copilot support compliance with the GDPR and other data protection laws? Yes. GitHub and customers can enter a Data Protection Agreement that supports compliance with the GDPR and similar legislation. Does GitHub Copilot ever output personal data? While we've designed GitHub Copilot with privacy in mind, the expansive definition of personal data under legislation like the EU’s General Data Protection Regulation (GDPR) means we can't guarantee it will never output such data. The Large Language Model (LLM) powering GitHub Copilot was trained on public code and there were instances in our tests where the tool made suggestions resembling personal data. The | 2026-01-13T08:48:16 |
https://dev.to/yunwei37/ebpf-tutorial-bpf-iterators-for-kernel-data-export-137f | eBPF Tutorial: BPF Iterators for Kernel Data Export - 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 云微 Posted on Jan 13 eBPF Tutorial: BPF Iterators for Kernel Data Export # ebpf # iterator # kernel Ever tried monitoring hundreds of processes and ended up parsing thousands of /proc files just to find the few you care about? Or needed custom formatted kernel data but didn't want to modify the kernel itself? Traditional /proc filesystem access is slow, inflexible, and forces you to process tons of data in userspace even when you only need a small filtered subset. This is what BPF Iterators solve. Introduced in Linux kernel 5.8, iterators let you traverse kernel data structures directly from BPF programs, apply filters in-kernel, and output exactly the data you need in any format you want. In this tutorial, we'll build a dual-mode iterator that shows kernel stack traces and open file descriptors for processes, with in-kernel filtering by process name - dramatically faster than parsing /proc . The complete source code: https://github.com/eunomia-bpf/bpf-developer-tutorial/tree/main/src/features/bpf_iters Introduction to BPF Iterators: The /proc Replacement The Problem: /proc is Slow and Rigid Traditional Linux monitoring revolves around the /proc filesystem. Need to see what processes are doing? Read /proc/*/stack . Want open files? Parse /proc/*/fd/* . This works, but it's painfully inefficient when you're monitoring systems at scale or need specific filtered views of kernel data. The performance problem is systemic. Every /proc access requires a syscall, kernel mode transition, text formatting, data copy to userspace, and then you parse that text back into structures. If you want stack traces for all "bash" processes among 1000 total processes, you still read all 1000 /proc/*/stack files and filter in userspace. That's 1000 syscalls, 1000 text parsing operations, and megabytes of data transferred just to find a handful of matches. Format inflexibility compounds the problem. The kernel chooses what data to show and how to format it. Want stack traces with custom annotations? Too bad, you get the kernel's fixed format. Need to aggregate data across processes? Parse everything in userspace. The /proc interface is designed for human consumption, not programmatic filtering and analysis. Here's what traditional monitoring looks like: # Find stack traces for all bash processes for pid in $( pgrep bash ) ; do echo "=== PID $pid ===" cat /proc/ $pid /stack done Enter fullscreen mode Exit fullscreen mode This spawns pgrep as a subprocess, makes a syscall per matching PID to read stack files, parses text output, and does all filtering in userspace. Simple to write, horrible for performance. The Solution: Programmable In-Kernel Iteration BPF iterators flip the model. Instead of pulling all data to userspace for processing, you push your processing logic into the kernel where the data lives. An iterator is a BPF program attached to a kernel data structure traversal that gets called for each element. The kernel walks tasks, files, or sockets, invokes your BPF program with each element's context, and your code decides what to output and how to format it. The architecture is elegant. You write a BPF program marked SEC("iter/task") or SEC("iter/task_file") that receives each task or file during iteration. Inside this program, you have direct access to kernel struct fields, can filter based on any criteria using normal C logic, and use BPF_SEQ_PRINTF() to format output exactly as needed. The kernel handles the iteration mechanics while your code focuses purely on filtering and formatting. When userspace reads from the iterator file descriptor, the magic happens entirely in the kernel. The kernel walks the task list, calls your BPF program for each task passing the task_struct pointer. Your program checks if the task name matches your filter - if not, it returns 0 immediately with no output. If it matches, your program extracts the stack trace and formats it to a seq_file. All this happens in kernel context before any data crosses to userspace. The benefits are transformative. In-kernel filtering means only relevant data crosses the kernel boundary, eliminating wasted work. Custom formats let you output binary, JSON, CSV, whatever your tools need. Single read operation replaces thousands of individual /proc file accesses. Zero parsing because you formatted the data correctly in the kernel. Composability works with standard Unix tools since iterator output comes through a normal file descriptor. Iterator Types and Capabilities The kernel provides iterators for many subsystems. Task iterators ( iter/task ) walk all tasks giving you access to process state, credentials, resource usage, and parent-child relationships. File iterators ( iter/task_file ) traverse open file descriptors showing files, sockets, pipes, and other fd types. Network iterators ( iter/tcp , iter/udp ) walk active network connections with full socket state. BPF object iterators ( iter/bpf_map , iter/bpf_prog ) enumerate loaded BPF programs and maps for introspection. Our tutorial focuses on task and task_file iterators because they solve common monitoring needs and demonstrate core concepts applicable to all iterator types. Implementation: Dual-Mode Task Iterator Let's build a complete example demonstrating two iterator types in one tool. We'll create a program that can show either kernel stack traces or open file descriptors for processes, with optional filtering by process name. Complete BPF Program: task_stack.bpf.c // SPDX-License-Identifier: GPL-2.0 /* Kernel task stack and file descriptor iterator */ #include <vmlinux.h> #include <bpf/bpf_helpers.h> char _license [] SEC ( "license" ) = "GPL" ; #define MAX_STACK_TRACE_DEPTH 64 unsigned long entries [ MAX_STACK_TRACE_DEPTH ] = {}; #define SIZE_OF_ULONG (sizeof(unsigned long)) /* Filter: only show stacks for tasks with this name (empty = show all) */ char target_comm [ 16 ] = "" ; __u32 stacks_shown = 0 ; __u32 files_shown = 0 ; /* Task stack iterator */ SEC ( "iter/task" ) int dump_task_stack ( struct bpf_iter__task * ctx ) { struct seq_file * seq = ctx -> meta -> seq ; struct task_struct * task = ctx -> task ; long i , retlen ; int match = 1 ; if ( task == ( void * ) 0 ) { /* End of iteration - print summary */ if ( stacks_shown > 0 ) { BPF_SEQ_PRINTF ( seq , " \n === Summary: %u task stacks shown === \n " , stacks_shown ); } return 0 ; } /* Filter by task name if specified */ if ( target_comm [ 0 ] != '\0' ) { match = 0 ; for ( i = 0 ; i < 16 ; i ++ ) { if ( task -> comm [ i ] != target_comm [ i ]) break ; if ( task -> comm [ i ] == '\0' ) { match = 1 ; break ; } } if ( ! match ) return 0 ; } /* Get kernel stack trace for this task */ retlen = bpf_get_task_stack ( task , entries , MAX_STACK_TRACE_DEPTH * SIZE_OF_ULONG , 0 ); if ( retlen < 0 ) return 0 ; stacks_shown ++ ; /* Print task info and stack trace */ BPF_SEQ_PRINTF ( seq , "=== Task: %s (pid=%u, tgid=%u) === \n " , task -> comm , task -> pid , task -> tgid ); BPF_SEQ_PRINTF ( seq , "Stack depth: %u frames \n " , retlen / SIZE_OF_ULONG ); for ( i = 0 ; i < MAX_STACK_TRACE_DEPTH ; i ++ ) { if ( retlen > i * SIZE_OF_ULONG ) BPF_SEQ_PRINTF ( seq , " [%2ld] %pB \n " , i , ( void * ) entries [ i ]); } BPF_SEQ_PRINTF ( seq , " \n " ); return 0 ; } /* Task file descriptor iterator */ SEC ( "iter/task_file" ) int dump_task_file ( struct bpf_iter__task_file * ctx ) { struct seq_file * seq = ctx -> meta -> seq ; struct task_struct * task = ctx -> task ; struct file * file = ctx -> file ; __u32 fd = ctx -> fd ; long i ; int match = 1 ; if ( task == ( void * ) 0 || file == ( void * ) 0 ) { if ( files_shown > 0 && ctx -> meta -> seq_num > 0 ) { BPF_SEQ_PRINTF ( seq , " \n === Summary: %u file descriptors shown === \n " , files_shown ); } return 0 ; } /* Filter by task name if specified */ if ( target_comm [ 0 ] != '\0' ) { match = 0 ; for ( i = 0 ; i < 16 ; i ++ ) { if ( task -> comm [ i ] != target_comm [ i ]) break ; if ( task -> comm [ i ] == '\0' ) { match = 1 ; break ; } } if ( ! match ) return 0 ; } if ( ctx -> meta -> seq_num == 0 ) { BPF_SEQ_PRINTF ( seq , "%-16s %8s %8s %6s %s \n " , "COMM" , "TGID" , "PID" , "FD" , "FILE_OPS" ); } files_shown ++ ; BPF_SEQ_PRINTF ( seq , "%-16s %8d %8d %6d 0x%lx \n " , task -> comm , task -> tgid , task -> pid , fd , ( long ) file -> f_op ); return 0 ; } Enter fullscreen mode Exit fullscreen mode Understanding the BPF Code The program implements two separate iterators sharing common filtering logic. The SEC("iter/task") annotation registers dump_task_stack as a task iterator - the kernel will call this function once for each task in the system. The context structure bpf_iter__task provides three critical pieces: the meta field containing iteration metadata and the seq_file for output, the task pointer to the current task_struct, and a NULL task pointer when iteration finishes so you can print summaries. The task stack iterator shows in-kernel filtering in action. When task is NULL, we've reached the end of iteration and can print summary statistics showing how many tasks matched our filter. For each task, we first apply filtering by comparing task->comm (the process name) against target_comm . We can't use standard library functions like strcmp() in BPF, so we manually loop through characters comparing byte by byte. If the names don't match and filtering is enabled, we immediately return 0 with no output - this task is skipped entirely in the kernel without crossing to userspace. Once a task passes filtering, we extract its kernel stack trace using bpf_get_task_stack() . This BPF helper captures up to 64 stack frames into our entries array, returning the number of bytes written. We format the output using BPF_SEQ_PRINTF() which writes to the kernel's seq_file infrastructure. The special %pB format specifier symbolizes kernel addresses, turning raw pointers into human-readable function names like schedule+0x42/0x100 . This makes stack traces immediately useful for debugging. The file descriptor iterator demonstrates a different iterator type. SEC("iter/task_file") tells the kernel to call this function for every open file descriptor across all tasks. The context provides task , file (the kernel's struct file pointer), and fd (the numeric file descriptor). We apply the same task name filtering, then format output as a table. Using ctx->meta->seq_num to detect the first output lets us print column headers exactly once. Notice how filtering happens before any expensive operations. We check the task name first, and only if it matches do we extract stack traces or format file information. This minimizes work in the kernel fast path - non-matching tasks are rejected with just a string comparison, no memory allocation, no formatting, no output. Complete User-Space Program: task_stack.c // SPDX-License-Identifier: GPL-2.0 /* Userspace program for task stack and file iterator */ #include <stdio.h> #include <unistd.h> #include <string.h> #include <bpf/libbpf.h> #include <bpf/bpf.h> #include "task_stack.skel.h" static int libbpf_print_fn ( enum libbpf_print_level level , const char * format , va_list args ) { return vfprintf ( stderr , format , args ); } static void run_iterator ( const char * name , struct bpf_program * prog ) { struct bpf_link * link ; int iter_fd , len ; char buf [ 8192 ]; link = bpf_program__attach_iter ( prog , NULL ); if ( ! link ) { fprintf ( stderr , "Failed to attach %s iterator \n " , name ); return ; } iter_fd = bpf_iter_create ( bpf_link__fd ( link )); if ( iter_fd < 0 ) { fprintf ( stderr , "Failed to create %s iterator: %d \n " , name , iter_fd ); bpf_link__destroy ( link ); return ; } while (( len = read ( iter_fd , buf , sizeof ( buf ) - 1 )) > 0 ) { buf [ len ] = '\0' ; printf ( "%s" , buf ); } close ( iter_fd ); bpf_link__destroy ( link ); } int main ( int argc , char ** argv ) { struct task_stack_bpf * skel ; int err ; int show_files = 0 ; libbpf_set_print ( libbpf_print_fn ); /* Parse arguments */ if ( argc > 1 && strcmp ( argv [ 1 ], "--files" ) == 0 ) { show_files = 1 ; argc -- ; argv ++ ; } /* Open BPF application */ skel = task_stack_bpf__open (); if ( ! skel ) { fprintf ( stderr , "Failed to open BPF skeleton \n " ); return 1 ; } /* Configure filter before loading */ if ( argc > 1 ) { strncpy ( skel -> bss -> target_comm , argv [ 1 ], sizeof ( skel -> bss -> target_comm ) - 1 ); printf ( "Filtering for tasks matching: %s \n\n " , argv [ 1 ]); } else { printf ( "Usage: %s [--files] [comm] \n " , argv [ 0 ]); printf ( " --files Show open file descriptors instead of stacks \n " ); printf ( " comm Filter by process name \n\n " ); } /* Load BPF program */ err = task_stack_bpf__load ( skel ); if ( err ) { fprintf ( stderr , "Failed to load BPF skeleton \n " ); goto cleanup ; } if ( show_files ) { printf ( "=== BPF Task File Descriptor Iterator === \n\n " ); run_iterator ( "task_file" , skel -> progs . dump_task_file ); } else { printf ( "=== BPF Task Stack Iterator === \n\n " ); run_iterator ( "task" , skel -> progs . dump_task_stack ); } cleanup: task_stack_bpf__destroy ( skel ); return err ; } Enter fullscreen mode Exit fullscreen mode Understanding the User-Space Code The userspace program showcases how simple iterator usage is once you understand the pattern. The run_iterator() function encapsulates the three-step iterator lifecycle. First, bpf_program__attach_iter() attaches the BPF program to the iterator infrastructure, registering it to be called during iteration. Second, bpf_iter_create() creates a file descriptor representing an iterator instance. Third, simple read() calls consume the iterator output. Here's what makes this powerful: when you read from the iterator fd, the kernel transparently starts walking tasks or files. For each element, it calls your BPF program passing the element's context. Your BPF code filters and formats output to a seq_file buffer. The kernel accumulates this output and returns it through the read() call. From userspace's perspective, it's just reading a file - all the iteration, filtering, and formatting complexity is hidden in the kernel. The main function handles mode selection and configuration. We parse command-line arguments to determine whether to show stacks or files, and what process name to filter for. Critically, we set skel->bss->target_comm before loading the BPF program. This writes the filter string into the BPF program's global data section, making it visible to kernel code when the program runs. This is how we pass configuration from userspace to kernel without complex communication channels. After loading, we select which iterator to run based on the --files flag. Both iterators use the same filtering logic, but produce different output - one shows stack traces, the other shows file descriptors. The shared filtering code demonstrates how BPF programs can implement reusable logic across different iterator types. Compilation and Execution Navigate to the bpf_iters directory and build: cd bpf-developer-tutorial/src/features/bpf_iters make Enter fullscreen mode Exit fullscreen mode The Makefile compiles the BPF program with BTF support and generates a skeleton header containing the compiled bytecode embedded in C structures. This skeleton API makes BPF program loading trivial. Show kernel stack traces for all systemd processes: sudo ./task_stack systemd Enter fullscreen mode Exit fullscreen mode Expected output: Filtering for tasks matching: systemd === BPF Task Stack Iterator === === Task: systemd (pid=1, tgid=1) === Stack depth: 6 frames [ 0] ep_poll+0x447/0x460 [ 1] do_epoll_wait+0xc3/0xe0 [ 2] __x64_sys_epoll_wait+0x6d/0x110 [ 3] x64_sys_call+0x19b1/0x2310 [ 4] do_syscall_64+0x7e/0x170 [ 5] entry_SYSCALL_64_after_hwframe+0x76/0x7e === Summary: 1 task stacks shown === Enter fullscreen mode Exit fullscreen mode Show open file descriptors for bash processes: sudo ./task_stack --files bash Enter fullscreen mode Exit fullscreen mode Expected output: Filtering for tasks matching: bash === BPF Task File Descriptor Iterator === COMM TGID PID FD FILE_OPS bash 12345 12345 0 0xffffffff81e3c6e0 bash 12345 12345 1 0xffffffff81e3c6e0 bash 12345 12345 2 0xffffffff81e3c6e0 bash 12345 12345 255 0xffffffff82145dc0 === Summary: 4 file descriptors shown === Enter fullscreen mode Exit fullscreen mode Run without filtering to see all tasks: sudo ./task_stack Enter fullscreen mode Exit fullscreen mode This shows stacks for every task in the system. On a typical desktop, this might display hundreds of tasks. Notice how fast it runs compared to parsing /proc/*/stack for all processes - the iterator is dramatically more efficient. When to Use BPF Iterators vs /proc Choose BPF iterators when you need filtered kernel data without userspace processing overhead, custom output formats that don't match /proc text, performance-critical monitoring that runs frequently, or integration with BPF-based observability infrastructure. Iterators excel when you're monitoring many entities but only care about a subset, or when you need to aggregate and transform data in the kernel. Choose /proc when you need simple one-off queries, are debugging or prototyping where development speed matters more than runtime performance, want maximum portability across kernel versions (iterators require relatively recent kernels), or run in restricted environments where you can't load BPF programs. The fundamental trade-off is processing location. Iterators push filtering and formatting into the kernel for efficiency and flexibility, while /proc keeps the kernel simple and does all processing in userspace. For production monitoring of complex systems, iterators usually win due to their performance benefits and programming flexibility. Summary and Next Steps BPF iterators revolutionize how we export kernel data by enabling programmable, filtered iteration directly from BPF code. Instead of repeatedly reading and parsing /proc files, you write a BPF program that iterates kernel structures in-kernel, applies filtering at the source, and formats output exactly as needed. This eliminates massive overhead from syscalls, mode transitions, and userspace parsing while providing complete flexibility in output format. Our dual-mode iterator demonstrates both task and file iteration, showing how one BPF program can export multiple views of kernel data with shared filtering logic. The kernel handles complex iteration mechanics while your BPF code focuses purely on filtering and formatting. Iterators integrate seamlessly with standard Unix tools through their file descriptor interface, making them composable building blocks for sophisticated monitoring pipelines. If you'd like to dive deeper into eBPF, check out our tutorial repository at https://github.com/eunomia-bpf/bpf-developer-tutorial or visit our website at https://eunomia.dev/tutorials/ . References BPF Iterator Documentation: https://docs.kernel.org/bpf/bpf_iterators.html Kernel Iterator Selftests: Linux kernel tree tools/testing/selftests/bpf/*iter*.c Tutorial Repository: https://github.com/eunomia-bpf/bpf-developer-tutorial/tree/main/src/features/bpf_iters libbpf Iterator API: https://github.com/libbpf/libbpf BPF Helpers Manual: https://man7.org/linux/man-pages/man7/bpf-helpers.7.html Examples adapted from Linux kernel BPF selftests with educational enhancements. Requires Linux kernel 5.8+ for iterator support, BTF enabled, and libbpf. Complete source code available in the tutorial repository. 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 云微 Follow know nothing about the world, but trying to keep learning | building eunomia.dev Joined Aug 15, 2023 More from 云微 eBPF Tutorial by Example: BPF Arena for Zero-Copy Shared Memory # ebpf # arena # memory eBPF Tutorial: Tracing CUDA GPU Operations # ebpf # cuda # gpu eBPF Tutorial: Transparent Text Replacement in File Reads # ebpf # kernel # tracing 💎 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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https://dev.to/codewithtee/server-side-rendering-ssr-vs-client-side-rendering-csr-3m24#main-content | Server-Side Rendering (SSR) Vs Client-Side Rendering (CSR) - 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 Tabassum Khanum Posted on Nov 1, 2021 Server-Side Rendering (SSR) Vs Client-Side Rendering (CSR) # beginners # webdev # javascript # codenewbie Hey Coders! We all can agree that new-age Javascript has changed modern websites structure and the user experience drastically. Websites these days are built more like an application pretending to be a website capable of sending emails, notifications, chat, shop, payments, etc. Today's websites are so advanced, interactive, but earlier, the websites and web applications had a common strategy to follow. They prepared HTML content to be sent to the browsers at the server-side; this content was then rendered as HTML with CSS styling in the browser. Traditionally, the browser receives HTML from the server and renders it. When the user navigates to another URL, a full-page refresh is required and the server sends fresh new HTML for the new page. This is called server-side rendering. Fast forward to today. When websites have 1000s of lines of code to render and with much more complex structures. Today, websites are more than just static pages. The downfall of SSR came when the websites were not all about allowing the user to perform actions and receive a response for their action. That is why developers shifted the ever-growing method of rendering web pages on the client-side. But, here are the questions- Is SSR still relevant? If yes, where to use it. the best approach for you? Server-Side Rendering In SSR, when the user makes a request to the webpage, the server prepares the HTML page by fetching the required data from the database and sends to the user's machine over the internet. Then the browser presents all the requested actions on the user UI. All these processes of fetching data from the database to creating an HTML page and sending it to the client are done in mere milliseconds. This method is viable if all your website need is to display images/ texts, links to click, and is more on the static side. In server-side rendered pages, it is common to use snippets of jQuery to add user interactivity to each page. However, when building large apps, just jQuery is insufficient. After all, jQuery is primarily a library for DOM manipulation and it's not a framework; it does not define a clear structure and organization for your app. Client-Side Rendering Developers are approaching CSR as modern-day development is mostly about JS libraries and frameworks. The popularity of modern-age JS shifted all the attention to CSR. Client-side rendering means that a website’s JavaScript is rendered in your browser, rather than on the website’s server. So now, instead of getting all the content from the HTML doc, only the required HTML with the JS files will be rendered. The rendering time for the first upload is a bit slow. However, the next page loads will be very fast as we don't have to wait for every page render. Moreover, there is no need to reload the entire UI after every call to the server. The client-side framework manages to update UI with changed data by re-rendering only that particular DOM element. Also, a clear client-server separation scales better for larger engineering teams, as the client and server code can be developed and released independently. This is especially so at Grab when we have multiple client apps hitting the same API server. For more clear view let's see some benefits and downside of both rendering methods- Benefits of SSR - The initial page of the website load is faster as there are fewer codes to render. Good for minimal and static sites. Search engines can crawl the site for better SEO. Downsides of SSR - the site interactions are less. Slow page rendering. Full UI reloads. Frequent server requests. Benefits of CSR - The app feels more responsive and users do not see the flash between page navigations due to full-page refreshes. Fewer HTTP requests are made to the server, as the same assets do not have to be downloaded again for each page load. Clear separation of the concerns between the client and the server; you can easily build new clients for different platforms (e.g. mobile, chatbots, smartwatches) without having to modify the server code. You can also modify the technology stack on the client and server independently, as long as the API contract is not broken. Downsides of CSR - Heavier initial page load due to loading of the framework, app code, and assets required for multiple pages. There's an additional step to be done on your server which is to configure it to route all requests to a single entry point and allow client-side routing to take over from there. In most cases, requires an external library. All search engines execute JavaScript during crawling, and they may see empty content on your page. This inadvertently hurts the Search Engine Optimization (SEO) of your app. However, most of the time, when you are building apps, SEO is not the most important factor, as not all the content needs to be indexable by search engines. To overcome this, you can either server-side render your app or use services such as Prerender to "render your javascript in a browser, save the static HTML, and return that to the crawlers". When to use server-side rendering An application has a very simple UI with fewer pages/features An application has less dynamic data Read preference of the site is more than write The focus is not on rich sites and has few users When to use client-side rendering An application has a very complex UI with many pages/features An application has large and dynamic data Write preference of the site is more than reading The focus is on rich sites and a huge number of users The rendering method totally depends on the requirements and the UX plan of the client. The final call is yours whether to use SSR or CSR. I hope this article helped you to understand the basic concepts of rendering practice. Thank You for reading till the end! Top comments (8) Subscribe Personal Trusted User Create template Templates let you quickly answer FAQs or store snippets for re-use. Submit Preview Dismiss Collapse Expand neoan neoan neoan Follow Passionate generalist conquering the web one project at a time. Whether authoring libraries for node, JS, PHP, or Rust, I am always on the lookout for better solutions to common problems. Location USA Work Lead Developer & Co-founder at corpscrypt, CTO at REtech Joined Oct 1, 2019 • Nov 2 '21 Dropdown menu Copy link Hide So much to be said here in order to clear up potential misunderstandings for beginners: When deciding which technique to use, the amount of pages is not relevant. If at all, it's the other way around: the more routes your app has, the more likely SSR it the better choice. But let's look at the real why: how important is SEO? If you have an online shop or blog, the answer is probably "very important", as you depend on organic hits. If your app is about user-2-user communication (chats, private communities, etc) then the answer is probably "not so much, as the relevant content is individual. That said, most online shops even with thousands of products usually go for SSR. About history: there wasn't ever a "downfall" of SSR. SPAs simply created a new possibility and this possibly often makes more sense, and often it doesn't. Deciding when to use a fork and when to use a spoon doesn't say anything about whether or not a spoon is better than a fork. In the same way, there isn't any relationship between jQuery and SSR. This must be very confusing to read for the beginner. What OP likely meant was that we didn't have much else historically. But ask yourself why routers are always separate packages in JS frameworks. It's because it's perfectly fine to use Vue or React with SSR. Lastly, we should not forget about the impact technologies like PWA bring to this decision. Fetching and caching sites completely changes pros and cons and considerations to take. There is a huge need for SSR which can be seen when looking at technologies like next, nuxt and co. The truth is that devs tend to prefer CSR for various reasons and therefore are inclined to use it even if it's not the best choice for the task at hand. Like comment: Like comment: 17 likes Like Comment button Reply Collapse Expand Kavya Mekala Kavya Mekala Kavya Mekala Follow Joined Sep 17, 2022 • Sep 17 '22 Dropdown menu Copy link Hide can we use react for server side rendering? Like comment: Like comment: 1 like Like Comment button Reply Collapse Expand Joes Joes Joes Follow Joined Aug 18, 2024 • Sep 13 '24 • Edited on Sep 13 • Edited Dropdown menu Copy link Hide Yes you can use React for server-side rendering .. React is typically used for client-side rendering, but it has built-in capabilities for ssr through libraries like next js or ReactDomServe Like comment: Like comment: 1 like Like Comment button Reply Collapse Expand Safin Ghoghabori Safin Ghoghabori Safin Ghoghabori Follow Full-stack dev Location India Education MCA Joined Oct 8, 2019 • Sep 22 '22 Dropdown menu Copy link Hide Yes you can. React supports SSR! Like comment: Like comment: 1 like Like Comment button Reply Collapse Expand Safin Ghoghabori Safin Ghoghabori Safin Ghoghabori Follow Full-stack dev Location India Education MCA Joined Oct 8, 2019 • Sep 22 '22 Dropdown menu Copy link Hide Amazing article. Thanks a lot.... @codewithtee Like comment: Like comment: 1 like Like Comment button Reply Collapse Expand Shirene Kadkhodai Boyd Shirene Kadkhodai Boyd Shirene Kadkhodai Boyd Follow Education Thinkful Bootcamp Joined Feb 14, 2022 • Mar 31 '22 Dropdown menu Copy link Hide This was a very informative article and I feel like I better understand the differences! Thank you Like comment: Like comment: 1 like Like Comment button Reply Collapse Expand programmingprobie programmingprobie programmingprobie Follow Scenario 7 Joined Dec 31, 2021 • Jul 24 '22 • Edited on Jul 24 • Edited Dropdown menu Copy link Hide For Server Side rendering have a look at HTMX (htmx.org) (gives you the feel of an SPA) Like comment: Like comment: 2 likes Like Comment button Reply Collapse Expand Ryan Neil Ryan Neil Ryan Neil Follow Location Hilo, HI Education University of California, Berkeley Work Fullstack Software Engineer Joined Nov 10, 2020 • Nov 2 '21 Dropdown menu Copy link Hide Great read! Thanks! Like comment: Like comment: 1 like Like Comment button Reply 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 Tabassum Khanum Follow I write about web development, my coding journey, art, books, and sometimes lame shits💟 Follow to learn Together !💜 Location India Pronouns She/Her Joined Mar 18, 2021 More from Tabassum Khanum Thrashing - One Byte Explainer # devchallenge # cschallenge # computerscience # beginners WebRTC in Just One Byte # frontendchallenge # devchallenge # javascript # beginners Day 5: Apni Canteen-Food Delivery App Using React Native And Sanity # reactn # javascript # react # beginners 💎 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 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 云微 Posted on Jan 6 eBPF Tutorial by Example: BPF Arena for Zero-Copy Shared Memory # ebpf # arena # memory Ever tried building a linked list in eBPF and got stuck using awkward integer indices instead of real pointers? Or needed to share large amounts of data between your kernel BPF program and userspace without expensive syscalls? Traditional BPF maps force you to work around pointer limitations and require system calls for every access. What if you could just use normal C pointers and have direct memory access from both kernel and userspace? This is what BPF Arena solves. Created by Alexei Starovoitov in 2024, arena provides a sparse shared memory region where BPF programs can use real pointers to build complex data structures like linked lists, trees, and graphs, while userspace gets zero-copy direct access to the same memory. In this tutorial, we'll build a linked list in arena memory and show you how both kernel and userspace can manipulate it using standard pointer operations. The complete source code: https://github.com/eunomia-bpf/bpf-developer-tutorial/tree/main/src/features/bpf_arena Introduction to BPF Arena: Breaking Free from Map Limitations The Problem: When BPF Maps Aren't Enough Traditional BPF maps are fantastic for simple key-value storage, but they have fundamental limitations when you need complex data structures or large-scale data sharing. Let's look at what developers faced before arena existed. Ring buffers only work in one direction - BPF can send data to userspace, but userspace can't write back. They're streaming-only, no random access. Hash and array maps require syscalls like bpf_map_lookup_elem() for every access from userspace. Array maps allocate all their memory upfront, wasting space if you only use a fraction of entries. Most critically, you can't use real pointers - you're forced to use integer indices to link data structures together. Building a linked list the old way looked like this mess: struct node { int next_idx ; // Can't use pointers, must use index! int data ; }; struct { __uint ( type , BPF_MAP_TYPE_ARRAY ); __uint ( max_entries , 10000 ); __type ( value , struct node ); } nodes_map SEC ( ".maps" ); // Traverse requires repeated map lookups int idx = head_idx ; while ( idx != - 1 ) { struct node * n = bpf_map_lookup_elem ( & nodes_map , & idx ); if ( ! n ) break ; process ( n -> data ); idx = n -> next_idx ; // No pointer following! } Enter fullscreen mode Exit fullscreen mode Every node access requires a map lookup. You can't just follow pointers like normal C code. The verifier won't let you use pointers across different map entries. This makes implementing trees, graphs, or any pointer-based structure incredibly awkward and slow. The Solution: Sparse Shared Memory with Real Pointers In 2024, Alexei Starovoitov from the Linux kernel team introduced BPF arena to solve these limitations. Arena provides a sparse shared memory region between BPF programs and userspace, supporting up to 4GB of address space. Memory pages are allocated on-demand as you use them, so you don't waste space. Both kernel BPF code and userspace programs can map the same arena and access it directly. The game-changer: you can use real C pointers in BPF programs targeting arena memory. The __arena annotation tells the verifier that these pointers reference arena space, and special address space casts ( cast_kern() , cast_user() ) let you safely convert between kernel and userspace views of the same memory. Userspace gets zero-copy access through mmap() - no syscalls needed to read or write arena data. Here's what the same linked list looks like with arena: struct node __arena { struct node __arena * next ; // Real pointer! int data ; }; struct node __arena * head ; // Traverse with normal pointer following struct node __arena * n = head ; while ( n ) { process ( n -> data ); n = n -> next ; // Just follow the pointer! } Enter fullscreen mode Exit fullscreen mode Clean, simple, exactly how you'd write it in normal C. The verifier understands arena pointers and lets you dereference them safely. Why This Matters Arena was inspired by research showing the potential for complex data structures in BPF. Before arena, developers were building hash tables, queues, and trees using giant BPF array maps with integer indices instead of pointers. It worked, but the code was ugly and slow. Arena unlocks several powerful use cases. In-kernel data structures become practical. You can implement custom hash tables with collision chaining, AVL or red-black trees for sorted data, graphs for network topology mapping, all using normal pointer operations. Key-value store accelerators can run in the kernel for maximum performance, with userspace getting direct access to the data structure without syscall overhead. Bidirectional communication works naturally - both kernel and userspace can modify shared data structures using lock-free algorithms. Large data aggregation scales up to 4GB instead of being limited by typical map size constraints. Implementation: Building a Linked List in Arena Memory Let's build a complete example that demonstrates arena's power. We'll create a linked list where BPF programs add and delete elements using real pointers, while userspace directly accesses the list to compute sums without any syscalls. Complete BPF Program: arena_list.bpf.c // SPDX-License-Identifier: GPL-2.0 /* Copyright (c) 2024 Meta Platforms, Inc. and affiliates. */ #define BPF_NO_KFUNC_PROTOTYPES #include <vmlinux.h> #include <bpf/bpf_helpers.h> #include <bpf/bpf_tracing.h> #include <bpf/bpf_core_read.h> #include "bpf_experimental.h" struct { __uint ( type , BPF_MAP_TYPE_ARENA ); __uint ( map_flags , BPF_F_MMAPABLE ); __uint ( max_entries , 100 ); /* number of pages */ #ifdef __TARGET_ARCH_arm64 __ulong ( map_extra , 0x1ull << 32 ); /* start of mmap() region */ #else __ulong ( map_extra , 0x1ull << 44 ); /* start of mmap() region */ #endif } arena SEC ( ".maps" ); #include "bpf_arena_alloc.h" #include "bpf_arena_list.h" struct elem { struct arena_list_node node ; __u64 value ; }; struct arena_list_head __arena * list_head ; int list_sum ; int cnt ; bool skip = false ; #ifdef __BPF_FEATURE_ADDR_SPACE_CAST long __arena arena_sum ; int __arena test_val = 1 ; struct arena_list_head __arena global_head ; #else long arena_sum SEC ( ".addr_space.1" ); int test_val SEC ( ".addr_space.1" ); #endif int zero ; SEC ( "syscall" ) int arena_list_add ( void * ctx ) { #ifdef __BPF_FEATURE_ADDR_SPACE_CAST __u64 i ; list_head = & global_head ; for ( i = zero ; i < cnt && can_loop ; i ++ ) { struct elem __arena * n = bpf_alloc ( sizeof ( * n )); test_val ++ ; n -> value = i ; arena_sum += i ; list_add_head ( & n -> node , list_head ); } #else skip = true ; #endif return 0 ; } SEC ( "syscall" ) int arena_list_del ( void * ctx ) { #ifdef __BPF_FEATURE_ADDR_SPACE_CAST struct elem __arena * n ; int sum = 0 ; arena_sum = 0 ; list_for_each_entry ( n , list_head , node ) { sum += n -> value ; arena_sum += n -> value ; list_del ( & n -> node ); bpf_free ( n ); } list_sum = sum ; #else skip = true ; #endif return 0 ; } char _license [] SEC ( "license" ) = "GPL" ; Enter fullscreen mode Exit fullscreen mode Understanding the BPF Code The program starts by defining the arena map itself. BPF_MAP_TYPE_ARENA tells the kernel this is arena memory, and BPF_F_MMAPABLE makes it accessible via mmap() from userspace. The max_entries field specifies how many pages (typically 4KB each) the arena can hold - here we allow up to 100 pages, or about 400KB. The map_extra field sets where in the virtual address space the arena gets mapped, using different addresses for ARM64 vs x86-64 to avoid conflicts with existing mappings. After defining the map, we include arena helpers. The bpf_arena_alloc.h file provides bpf_alloc() and bpf_free() functions - a simple memory allocator that works with arena pages, similar to malloc() and free() but specifically for arena memory. The bpf_arena_list.h file implements doubly-linked list operations using arena pointers, including list_add_head() to prepend nodes and list_for_each_entry() to iterate safely. Our elem structure contains the actual data. The arena_list_node member provides the next and pprev pointers for linking nodes together - these are arena pointers marked with __arena . The value field holds our payload data. Notice the __arena annotation on list_head - this tells the verifier this pointer references arena memory, not normal kernel memory. The arena_list_add() function creates list elements. It's marked SEC("syscall") because userspace will trigger it using bpf_prog_test_run() . The loop allocates new elements using bpf_alloc(sizeof(*n)) , which returns an arena pointer. We can then dereference n->value directly - the verifier allows this because n is an arena pointer. The list_add_head() call prepends the new node to the list using normal pointer manipulation, all happening in arena memory. The can_loop check satisfies the verifier's bounded loop requirement. The arena_list_del() function demonstrates iteration and cleanup. The list_for_each_entry() macro walks the list following arena pointers. Inside the loop, we sum values and delete nodes. The bpf_free(n) call returns memory to the arena allocator, decreasing the reference count and potentially freeing pages when the count hits zero. The address space cast feature is crucial. Some compilers support __BPF_FEATURE_ADDR_SPACE_CAST which enables the __arena annotation to work as a compiler address space. Without this support, we fall back to using explicit section annotations like SEC(".addr_space.1") . The code checks for this feature and skips execution if it's not available, preventing runtime errors. Complete User-Space Program: arena_list.c // SPDX-License-Identifier: GPL-2.0 /* Copyright (c) 2024 Meta Platforms, Inc. and affiliates. */ #include <stdio.h> #include <stdlib.h> #include <unistd.h> #include <sys/mman.h> #include <stdint.h> #include <bpf/libbpf.h> #include <bpf/bpf.h> #include "bpf_arena_list.h" #include "arena_list.skel.h" struct elem { struct arena_list_node node ; uint64_t value ; }; static int list_sum ( struct arena_list_head * head ) { struct elem __arena * n ; int sum = 0 ; list_for_each_entry ( n , head , node ) sum += n -> value ; return sum ; } static void test_arena_list_add_del ( int cnt ) { LIBBPF_OPTS ( bpf_test_run_opts , opts ); struct arena_list_bpf * skel ; int expected_sum = ( u_int64_t ) cnt * ( cnt - 1 ) / 2 ; int ret , sum ; skel = arena_list_bpf__open_and_load (); if ( ! skel ) { fprintf ( stderr , "Failed to open and load BPF skeleton \n " ); return ; } skel -> bss -> cnt = cnt ; ret = bpf_prog_test_run_opts ( bpf_program__fd ( skel -> progs . arena_list_add ), & opts ); if ( ret != 0 ) { fprintf ( stderr , "Failed to run arena_list_add: %d \n " , ret ); goto out ; } if ( opts . retval != 0 ) { fprintf ( stderr , "arena_list_add returned %d \n " , opts . retval ); goto out ; } if ( skel -> bss -> skip ) { printf ( "SKIP: compiler doesn't support arena_cast \n " ); goto out ; } sum = list_sum ( skel -> bss -> list_head ); printf ( "Sum of elements: %d (expected: %d) \n " , sum , expected_sum ); ret = bpf_prog_test_run_opts ( bpf_program__fd ( skel -> progs . arena_list_del ), & opts ); if ( ret != 0 ) { fprintf ( stderr , "Failed to run arena_list_del: %d \n " , ret ); goto out ; } sum = list_sum ( skel -> bss -> list_head ); printf ( "Sum after deletion: %d (expected: 0) \n " , sum ); printf ( "Sum computed by BPF: %d (expected: %d) \n " , skel -> bss -> list_sum , expected_sum ); printf ( " \n Test passed! \n " ); out: arena_list_bpf__destroy ( skel ); } int main ( int argc , char ** argv ) { int cnt = 10 ; if ( argc > 1 ) { cnt = atoi ( argv [ 1 ]); if ( cnt <= 0 ) { fprintf ( stderr , "Invalid count: %s \n " , argv [ 1 ]); return 1 ; } } printf ( "Testing arena list with %d elements \n " , cnt ); test_arena_list_add_del ( cnt ); return 0 ; } Enter fullscreen mode Exit fullscreen mode Understanding the User-Space Code The userspace program demonstrates zero-copy access to arena memory. When we load the BPF skeleton using arena_list_bpf__open_and_load() , libbpf automatically mmap() s the arena into userspace. The pointer skel->bss->list_head points directly into this mapped arena memory. The list_sum() function walks the linked list from userspace. Notice we're using the same list_for_each_entry() macro as the BPF code. The list is in arena memory, shared between kernel and userspace. Userspace can directly dereference arena pointers to access node values and follow next pointers - no syscalls needed. This is the zero-copy benefit: userspace reads memory directly from the mapped region. The test flow orchestrates the demonstration. First, we set skel->bss->cnt to specify how many list elements to create. Then bpf_prog_test_run_opts() executes the arena_list_add BPF program, which builds the list in arena memory. Once that returns, userspace immediately calls list_sum() to verify the list by walking it directly from userspace - no syscalls, just direct memory access. The expected sum is calculated as 0+1+2+...+(cnt-1), which equals cnt*(cnt-1)/2. After verifying the list, we run arena_list_del to remove all elements. This BPF program walks the list, computes its own sum, and calls bpf_free() on each node. Userspace then verifies the list is empty by calling list_sum() again, which should return 0. We also check that skel->bss->list_sum matches our expected value, confirming the BPF program computed the correct sum before deleting nodes. Understanding Arena Memory Allocation The arena allocator deserves a closer look because it shows how BPF programs can implement sophisticated memory management in arena space. The allocator in bpf_arena_alloc.h uses a per-CPU page fragment approach to avoid locking. Each CPU maintains its own current page and offset. When you call bpf_alloc(size) , it first rounds up the size to 8-byte alignment. If the current page has enough space at the current offset, it allocates from there by just decrementing the offset and returning a pointer. If not enough space remains, it allocates a fresh page using bpf_arena_alloc_pages() , which is a kernel helper that gets arena pages from the kernel's page allocator. Each page maintains a reference count in its last 8 bytes, tracking how many allocated objects point into that page. The bpf_free(addr) function implements reference-counted deallocation. It rounds the address down to the page boundary, finds the reference count, and decrements it. When the count reaches zero - meaning all objects allocated from that page have been freed - it returns the entire page to the kernel using bpf_arena_free_pages() . This page-level reference counting means individual bpf_free() calls are fast, and memory is returned to the system only when appropriate. This allocator design avoids locks by using per-CPU state. Since BPF programs run with preemption disabled on a single CPU, the current CPU's page fragment can be accessed without synchronization. This makes bpf_alloc() extremely fast - typically just a few instructions to allocate from the current page. Compilation and Execution Navigate to the bpf_arena directory and build the example: cd bpf-developer-tutorial/src/features/bpf_arena make Enter fullscreen mode Exit fullscreen mode The Makefile compiles the BPF program with -D__BPF_FEATURE_ADDR_SPACE_CAST to enable arena pointer support. It uses bpftool gen object to process the compiled BPF object and generate a skeleton header that userspace can include. Run the arena list test with 10 elements: sudo ./arena_list 10 Enter fullscreen mode Exit fullscreen mode Expected output: Testing arena list with 10 elements Sum of elements: 45 (expected: 45) Sum after deletion: 0 (expected: 0) Sum computed by BPF: 45 (expected: 45) Test passed! Enter fullscreen mode Exit fullscreen mode Try it with more elements to see arena scaling: sudo ./arena_list 100 Enter fullscreen mode Exit fullscreen mode The sum should be 4950 (100*99/2). Notice that userspace can verify the list by directly accessing arena memory without any syscalls. This zero-copy access is what makes arena powerful for large data structures. When to Use Arena vs Other BPF Maps Choosing the right BPF map type depends on your access patterns and data structure needs. Use regular BPF maps (hash, array, etc.) when you need simple key-value storage, small data structures that fit well in maps, standard map operations like atomic updates, or per-CPU statistics without complex linking. Maps excel at straightforward use cases with kernel-provided operations. Use BPF Arena when you need complex linked structures like lists, trees, or graphs, large shared memory exceeding typical map sizes, zero-copy userspace access to avoid syscall overhead, or custom memory management beyond what maps provide. Arena shines for sophisticated data structures where pointer operations are natural. Use Ring Buffers when you need one-way streaming from BPF to userspace, event logs or trace data, or sequentially processed data without random access. Ring buffers are optimized for high-throughput event streams but don't support bidirectional access or complex data structures. The arena vs maps trade-off fundamentally comes down to pointers and access patterns. If you find yourself encoding indices to simulate pointers in BPF maps, arena is probably the better choice. If you need large-scale data structures accessible from both kernel and userspace, arena's zero-copy shared memory model is hard to beat. Summary and Next Steps BPF Arena solves a fundamental limitation of traditional BPF maps by providing sparse shared memory where you can use real C pointers to build complex data structures. Created by Alexei Starovoitov in 2024, arena enables linked lists, trees, graphs, and custom allocators using normal pointer operations instead of awkward integer indices. Both kernel BPF programs and userspace can map the same arena for zero-copy bidirectional access, eliminating syscall overhead. Our linked list example demonstrates the core arena concepts: defining an arena map, using __arena annotations for pointer types, allocating memory with bpf_alloc() , and accessing the same data structure from both kernel and userspace. The per-CPU page fragment allocator shows how BPF programs can implement sophisticated memory management in arena space. Arena unlocks new possibilities for in-kernel data structures, key-value store accelerators, and large-scale data aggregation up to 4GB. If you'd like to dive deeper into eBPF, check out our tutorial repository at https://github.com/eunomia-bpf/bpf-developer-tutorial or visit our website at https://eunomia.dev/tutorials/ . References Original Arena Patches: https://lwn.net/Articles/961594/ Meta's Arena Examples: Linux kernel tree samples/bpf/arena_*.c Tutorial Repository: https://github.com/eunomia-bpf/bpf-developer-tutorial/tree/main/src/features/bpf_arena Linux Kernel Source: kernel/bpf/arena.c - Arena implementation LLVM Address Spaces: Documentation on __arena compiler support This example is adapted from Meta's arena_list.c in the Linux kernel samples, with educational enhancements. Requires Linux kernel 6.10+ with CONFIG_BPF_ARENA=y enabled. Complete source code available in the tutorial repository. Top comments (0) Subscribe Personal Trusted User Create template Templates let you quickly answer FAQs or store snippets for re-use. 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Hide child comments as well Confirm For further actions, you may consider blocking this person and/or reporting abuse 云微 Follow know nothing about the world, but trying to keep learning | building eunomia.dev Joined Aug 15, 2023 More from 云微 eBPF Tutorial: Tracing CUDA GPU Operations # ebpf # cuda # gpu eBPF Tutorial: Transparent Text Replacement in File Reads # ebpf # kernel # tracing eBPF Tutorial by Example 32: Wall Clock Profiling with Combined On-CPU and Off-CPU Analysis # ebpf # profiler # tracing 💎 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 Forem — 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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http://apihandyman.io/about/ | API Handyman | About Arnaud Lauret, the API Handyman API Handyman Blog All content Posts Talks & Podcasts Blog Posts Talks & Podcasts Toolbox About Read my book Me Arnaud Lauret API Handyman How can I help you? API Handyman blog My book The Design of Web APIs About Arnaud Lauret, the API Handyman Hi! I’m Arnaud Lauret, the API Handyman and author of The Design of Web APIs. I like to share what I do, struggle with, learn, and teach while working in the API space. Me Arnaud Lauret My name is Arnaud Lauret, I’m API Governance Lead at Postman. Before that, I have been working in the financial industry for 20 years and my job was always around connecting pieces of software together, hence creating and using web services or APIs. API Handyman I choose the API Handyman name because the handyman definition really describes that how I feel regarding software in general and APIs in particular: I love working on all aspects of API/software. The term handyman or handyperson increasingly describes a paid worker, but it also includes non-paid homeowners or do-it-yourselfers. Tasks range from minor to major, from unskilled to highly skilled, and include painting, drywall repair, remodeling, minor plumbing work, minor electrical work, household carpentry, sheetrock, crown moulding, and furniture assembly. (source wikipedia ) How can I help you? I really like to share what I learn and make others grow, hoping that one day they’ll do the same for others. API Handyman blog Born on the 7th of February 2015, the API Handyman blog is about sharing my views and experiences on the API field from both provider and consumer points of view with I hope a pragmatic and unvarnished approach. I mostly write about API design and API design related tools. I do not write as much as I would like but at least you’ll always find from-the-real-world-topics-covered-in-depth class post here. My book The Design of Web APIs In 2018, I started to write a book on API design with Manning. If you’re interested in API design, you should read my book The Design of Web API , it’s for both beginners and seasoned API designers. Every aspects of API design are covered: requirements gathering, usability, security, evolution, documentation and even architecture and network concerns. Privacy Policy & Settings © 2015-2024 Arnaud Lauret By continuing to use this web site you agree with the API Handyman website privacy policy (effective date , June 28, 2020). Read privacy policy Happy with that Read privacy policy Happy with that | 2026-01-13T08:48:16 |
https://stackoverflow.blog/ | The Stack Overflow Blog - 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. From the Network music.stackexchange.com What is the absolute lowest musical note in the musical spectrum? If the lowest possible music note is played and nobody hears it, was it ever really played at all? opensource.stackexchange.com Is the program free software if it respects all freedoms except for the first one? A jailbroken free software is not a free software at all. literature.stackexchange.com How can a grin be "like a phalanx" in Gravity's Rainbow? Soldiers, the enemy is making us uncomfortable. Deploy grins! worldbuilding.stackexchange.com What is the quickest way to introduce plate tectonics to Venus? Got an extra planetoid? Featured Introducing Stack Internal: Powering the human intelligence layer of enterprise AI Today at Microsoft Ignite, we’re showcasing the next step in our evolution: Stack Overflow for Teams is now Stack Internal. It’s the next phase of our enterprise knowledge platform, reimagined for the AI era. 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. The Stack Overflow Podcast vibe coding AI ai coding agentic AI Apple Podcasts Overcast Overcast Pocket Casts Spotify RSS feed Releases January 5, 2026 What’s new at Stack Overflow: January 2026 For this first edition of the new year, we’re taking a step back to highlight some of the most impactful features shipped over the last year and how they can help you start 2026 strong. December 16, 2025 Your 2025 Stacked: A year of knowledge, community, and impact From tough questions to standout answers, your team built a lot in 2025. Your 2025 Stacked brings those contributions together in one shareable snapshot—celebrating the people, posts, and topics that defined your year in Stack Internal. 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! November 12, 2025 2025.8 release introduces Stack Overflow Internal: The next generation of enterprise knowledge intelligence Today, we’re excited to introduce Stack Overflow Internal—the next evolution of our enterprise platform and the future of Stack Overflow for Teams. Latest articles January 12, 2026 Now everyone can chat on Stack Overflow Registered users can now join public chat rooms from day one, making it easier to connect, learn, and participate in the community Kate Smith 0 comment s Community 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 1, 2026 Documents: The architect’s programming language Senior developers know how to deploy code to systems made of code. Architects know how to deploy ideas to systems made of people. Isaac Lyman 2 comment s architecture documentation 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 December 30, 2025 A new era of Stack Overflow Live from the stage of WeAreDevelopers, we’re unveiling our new vision and mission for the future of Stack Overflow and our community. Prashanth Chandrasekar , Jody Bailey 11 comment s Company December 29, 2025 Developers remain willing but reluctant to use AI: The 2025 Developer Survey results are here No need to bury the lede: more developers are using AI tools, but their trust in those tools is falling. Erin Yepis 2 comment s developer survey 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 25, 2025 Whether AI is a bubble or revolution, how does software survive? Money is pouring into the AI industry. Will software survive the disruption it causes? Ryan Donovan 5 comment s AI software development data December 24, 2025 The Great Unracking: Saying goodbye to the servers at our physical datacenter So long and thanks for all the bits! Ryan Donovan 17 comment s Server cloud Engineering December 23, 2025 How Xerox and Stack Overflow partnered to preserve knowledge and power innovation How Stack Internal provided the foundation for a culture of continuous learning and open collaboration. Eira May 0 comment s data quality knowledge base developer tools Business Hub December 23, 2025 The AI ick How we feel about AI-generated content, what AI detectors tell us, and why human creativity matters. Also, what is art? Eira May 26 comment s AI art writing December 22, 2025 Making your code base better will make your code coverage worse Maintaining a minimum of 80% code coverage affects code decisions and not always for the better. Jared Toporek 11 comment s testing code quality December 17, 2025 The 2025 Stack Overflow and Stack Exchange wrap—our top ten questions of the year! As 2025 comes to a close, we're sharing some of the top questions from across our entire Stack Exchange Network. Phoebe Sajor 2 comment s Community questions December 15, 2025 At AWS re:Invent, the news was agents, but the focus was developers Four days, 60,000 developers, and AI-generated perfume. The re:Invent that was. Ryan Donovan 0 comment s AI aws cloud computing 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 11, 2025 Simulating lousy conversations: Q&A with Silvio Savarese, Chief Scientist & Head of AI Research at Salesforce AI yells at voice agents so you don't have to. Ryan Donovan 2 comment s AI Show more More Podcast January 9, 2026 Every ecommerce hero needs a Sidekick January 7, 2026 You need quality engineers to turn AI into ROI January 6, 2026 Search engine bots crawled so AI bots could run Around the web oblomovka.com AI psychosis, AI apotheosis Who knew AI euphoria could feel so bad? nik.art The suck is why we're here Being bad to get good is a human experience AI can't take away from us. terriblesoftware.org Life happens at 1x speed The best things in life only happen at 1x speed (like reading this newsletter). github.com A philosophy of software design vs clean code Uncle Bob and John Ousterhout go head-to-head to solve—well, nothing, they just keep arguing like always. medium.com Attention is Bayesian inference And for AI's next "magic trick," it's going to use Bayes' Theorem to write your next LinkedIn post for you. mattwie.se Using Hinge as a command & control server "Babe, I promise I only have Hinge on my phone to distribute unassuming abstract expressionist pixel art." ma.ttias.be Web development is fun again Really, debating whether AI helps or hurts web development is one of the funnest parts. sparkbox.com During Helene, I just wanted a plain text website Disaster preparedness is sometimes as easy as a bulleted list. linusakesson.net Kernighan's lever Pre-debug dev: "Who are you?" Post-debug dev: "I'm you but stronger." lucumr.pocoo.org A year of vibes Maybe the point of vibe coding was the AI friends we made along the way. scottaaronson.blog More on whether useful quantum computing is “imminent” "Everybody wants to know what I would do if I couldn't scale. I guess we'll never know." -quantum computing borretti.me I wish people were more public Was this written by a people-person or a content scraping bot? Want updates to your inbox? Every week we’ll share a collection of great questions from our community, news and articles from our blog, and awesome links from around the web. Read previous issues → Subscribe or edit your settings on your profile page. January 7, 2026 Issue 311: Your line on information in the new year Can you believe you haven't read an Overflow since last year? Fine, fine, we'll keep our corny jokes about "not showering since last year" in 2025. We're closing out our top ten blog countdown with five more stories for you on everything from documentation to vibe coding to the Developer Survey. One of the biggest reads of the year for our community was a blog written by our CEO Prashanth Chandrasekar and our CPTO Jody Bailey on this new era at Stack Overflow, which feels particularly fitting for all the "new year, new me" posts you're probably seeing on social media. You can check that one out on the blog—plus other top posts from the year like a technical look at how we built Question Assist and why documents are a software architect's best friend. Speaking of new year, new era, new you, if you're looking to start your 2026 off right, we've got everything you need. Want to become a better developer? Check out our conversation with LaunchDarkly's Tom Totenberg about the software corners you should definitely not be cutting. Want to build a better community? We spoke with MIT and Stanford professor Alex "Sandy" Pentland on how you can use AI to do just that. Want to be disaster prepared or have fun with web development again? We've got two stories from the web that get you started on all such self-improvement endeavors. And what list of New Year's resolutions would be complete without "get smarter" on it? Our bevy of questions and answers is the best place to start. Where else could you learn about the safety of decade-old honey, exploding synthetic gloves, or the fastest way to make thousands of files at once so you can bulk delete them? Ah, only in the Overflow. All of that and much more is in the links below. December 31, 2025 Issue 310: The top ten Stack Overflow blogs of 2025 What luck for our 310 issue to land on the 31st! If you're practicing your numbers in preparation for the New Years' countdown, we're right there with you. We're counting down the top ten Stack Overflow blogs of 2025, and this week we've got the first five for your holiday reading pleasure. From popping the AI bubble to the ick you get from slop to the losing employment battle Gen Z is having against bots, this year's blogs dug deep into the economic, cultural, and technical shifts caused by AI in 2025. And don't worry, we wrote about stuff besides AI. Rounding out the first five of our countdown are the Great Unracking of our last physical datacenter, and a piece on making your codebase better by making your code coverage worse. If you're in more of a listening mood, you're in luck because the pod stops for no holiday. We're joined by former Stack Overflow board member Anil Dash for a conversation on how AI is normal and should be treated as such. We also spoke with Dan Ciruli from Nutanix about the delicate dance between VMs and Kubernetes in cloud-native environments. From around the web, we've got a piece on when we can expect quantum computing to be scalable (apparently it's imminent), one dev's reflection on a year of vibe coding, plus the disproving of the old developer proverb, "If you're as clever as you can be when you write your code, how will you ever debug it?" Wait, is that 2026 I see on the horizon? Let's countdown the end of this issue the way we always do—with some questions. 5...What would Aristotle say about Cliff's Notes? 4...Will people believe me if I say the reason I don't understand advanced math is because its notation is not standardized? 3...What does "technically sound" mean? 2...Why won't my pirated disc of Brat work on my mom's 1999 CD player? 1...Happy New Year! Until next year, we have all those answers and so much more down in the links below. December 24, 2025 Issue 309: Your year Stacked Don't let all those year in-review posts on your social media feeds fool you—we've got plenty of new stories for you this week. We just got back from AWS re:Invent, and we've got the skinny on all the new tech announced. Two podcasts, two different takes. First, our very own CEO Prashanth Chandrasekar and Director of Data Science Michael Foree joined us to discuss everything they heard and saw at the event. Corey Quinn, Chief Cloud Economist at Duckbill and snark king, also sat down with us to debrief on all things re:Invent, from the new technology to the restaurants. If you're more of a reader than a listener, we have a full recap for you on the blog of everything you'd want to know from re:Invent 2025. Fine, we won't be a Scrooge McDuck...we'll get into the wrapped spirit too. Let's take a walk down memory lane—maybe with Your 2025 Stacked, our fun year-in-review for our Stack Internal customers. Not your style? No worries. From the web, we've got a state of AI coding report for you, so you can look back and think about all the hours you saved (or more likely wasted) with coding bots. If you want to take it even further back, read about how they're recovering the lost files of Sega Channel. Maybe you'd even be interested in the history of your favorite default font, Times New Roman. If that's too much nostalgia for you, let's wrap this up by bringing you back to 2025. No Overflow could be complete without a few questions and a few answers, and this week we've even got the top ten Q&As of the year from our sites. Plus, we've plenty more—everything from melting big pieces of ice to ritualized workplace confessions and mayo disasters. It's all down below for you, wrapped and ready to go. December 17, 2025 Issue 308: Software development time wasters We've got a jampacked week for you of stories, so let's skip the small talk and get right to it. Coming off Microsoft Ignite, we've got a look into how the enterprise is reframing their AI initiatives to be slower, steadier, and more focused on their market fit. If you didn't know, we debuted our rebrand and new MCP Server at Ignite, and if you're curious how that's all going, be sure to check out the interview we did with HP's Distinguished Technologist Evan Scheessele on how they're using our MCP Server in their SDLC experiments. We also had a convo with Salesforce's Chief Scientist and Head of AI Silvio Savarese on how they're simulating terrible phone calls to make customer service AI agents better. Okay, maybe we can have a little small talk. Tell us, what do you hate about your job? We can guess...is it documentation? If it is, you're not alone—that's exactly what the data showed us in our latest Stack Overflow Knows survey. But maybe you love documentation and hate code reviews. If so, we have a pod with Macroscope's Kayvon Beykpour on how AI can ease some of your code review troubles. Maybe all of our troubles would be erased if we could just get those pesky interfaces right; we have an episode with Wesley Yu from Metalab on all things interfaces (which are everything, btw). All right, we're done with small talk now. Let's have a deep discussion about the questions that matter the most. Are wooden cutting boards more sanitary than plastic ones? What would it take to be a world-famous keynote speaker in software? Why do programs and languages have such silly names? Is your imposter syndrome telling the truth? As always, we've got all of those answers for you in the links below. 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. 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https://www.highlight.io/docs/general/product-features/dashboards/dashboards-tutorials/user-engagement | Creating User Engagement Metrics Star us on GitHub Star Docs Sign in Sign up General Docs Welcome to highlight.io Get Started Roadmap Company Values Compliance & Security Open Source Contributing Overview GraphQL Backend Frontend (app.highlight.io) Landing Site (highlight.io) Documentation End to End SDK Example Apps Adding an SDK Application Architecture GitHub Code Spaces Code Style Good First Issues Self-hosting Self-hosted [Dev] Self-hosted [Hobby] Self-hosted [Enterprise] Telemetry Our Competitors Product Philosophy Product Features Session Replay Overview Canvas & Iframe Dev-tool Window Recording Tracking Users & Recording Events Filtering Sessions GraphQL Live Mode Performance Impact Player Session Caching Rage Clicks Request Proxying Session Search Extracting the Session URL Session Search Deep Linking Shadow Dom + Web Components Error Monitoring Overview Enhancing Errors with GitHub Error Search Filtering Errors Grouping Errors Managing Errors Manually Reporting Errors Sourcemaps General Features Overview Alerts Comments Digests Environments Search Segments Services Webhooks Logging Overview Log Alerts Log Search Tracing Overview Trace Search Dashboards Overview Dashboard Management Metrics Tutorials Service Latency Web Vitals & Page Speed User Engagement User Analytics Graphing Drilldown Event Search Dashboard Variables SQL Editor Metrics (beta) Overview Frequently Asked Questions. Integrations Integrations Overview Amplitude Integration ClickUp Integration Discord Integration Electron Support Front Integration GitHub Integration Grafana Integration Overview Setup Dashboards Alerts Height Integration Intercom Integration Jira Integration LaunchDarkly Integration Linear Integration Mixpanel Integration Nuxt Integration Pendo Integration Segment Integration Slack Integration Vercel Integration WordPress Plugin Highlight.io Changelog Overview Changelog 12 (02/17) Changelog 13 (02/24) Changelog 14 (03/03) Changelog 15 (03/11) Changelog 16 (03/19) Changelog 17 (04/07) Changelog 18 (04/26) Changelog 19 (05/22) Changelog 20 (06/06) Changelog 21 (06/21) Changelog 22 (08/07) Changelog 23 (08/22) Changelog 24 (09/11) Changelog 25 (10/03) Changelog 26 (11/08) Changelog 27 (12/22) Changelog 28 (3/6) Changelog 29 (4/2) Menu Highlight Docs Welcome to highlight.io Get Started Roadmap Company Values Compliance & Security Open Source Contributing Overview GraphQL Backend Frontend (app.highlight.io) Landing Site (highlight.io) Documentation End to End SDK Example Apps Adding an SDK Application Architecture GitHub Code Spaces Code Style Good First Issues Self-hosting Self-hosted [Dev] Self-hosted [Hobby] Self-hosted [Enterprise] Telemetry Our Competitors Product Philosophy Product Features Session Replay Overview Canvas & Iframe Dev-tool Window Recording Tracking Users & Recording Events Filtering Sessions GraphQL Live Mode Performance Impact Player Session Caching Rage Clicks Request Proxying Session Search Extracting the Session URL Session Search Deep Linking Shadow Dom + Web Components Error Monitoring Overview Enhancing Errors with GitHub Error Search Filtering Errors Grouping Errors Managing Errors Manually Reporting Errors Sourcemaps General Features Overview Alerts Comments Digests Environments Search Segments Services Webhooks Logging Overview Log Alerts Log Search Tracing Overview Trace Search Dashboards Overview Dashboard Management Metrics Tutorials Service Latency Web Vitals & Page Speed User Engagement User Analytics Graphing Drilldown Event Search Dashboard Variables SQL Editor Metrics (beta) Overview Frequently Asked Questions. Integrations Integrations Overview Amplitude Integration ClickUp Integration Discord Integration Electron Support Front Integration GitHub Integration Grafana Integration Overview Setup Dashboards Alerts Height Integration Intercom Integration Jira Integration LaunchDarkly Integration Linear Integration Mixpanel Integration Nuxt Integration Pendo Integration Segment Integration Slack Integration Vercel Integration WordPress Plugin Highlight.io Changelog Overview Changelog 12 (02/17) Changelog 13 (02/24) Changelog 14 (03/03) Changelog 15 (03/11) Changelog 16 (03/19) Changelog 17 (04/07) Changelog 18 (04/26) Changelog 19 (05/22) Changelog 20 (06/06) Changelog 21 (06/21) Changelog 22 (08/07) Changelog 23 (08/22) Changelog 24 (09/11) Changelog 25 (10/03) Changelog 26 (11/08) Changelog 27 (12/22) Changelog 28 (3/6) Changelog 29 (4/2) Getting Started Getting Started with Highlight Fullstack Mapping Browser React.js Next.js Remix Vue.js Angular Gatsby.js SvelteKit Electron highlight.run SDK Overview Canvas & WebGL Console Messages Content-Security-Policy Identifying Users iframe Recording Monkey Patches Browser OpenTelemetry Persistent Asset Storage Privacy Proxying Highlight React.js Error Boundary Recording Network Requests and Responses Recording WebSocket Events Salesforce Lightning Web Components (LWC) Data Export Sourcemap Configuration Tracking Events Troubleshooting Upgrading Highlight Versioning Sessions & Errors Other React Native (beta) Server Go Overview chi Echo Fiber Gin GORM gqlgen Logrus Manual Tracing gorilla mux JS Overview Apollo AWS Lambda Cloudflare Workers Express.js Firebase Hono Nest.js Next.js Node.js Pino tRPC Winston Python Overview AWS Lambda Azure Functions Django FastAPI Flask Google Cloud Functions Loguru Other Frameworks Python AI / LLM Libraries Python Libraries Ruby Overview Other Frameworks Ruby on Rails Rust Overview actix-web No Framework Hosting Providers Overview Metrics in AWS Logging in AWS Logging in Azure Fly.io NATS Log Shipper Logging in GCP Heroku Log Drain Render Log Stream Logging in Trigger.dev Vercel Log Drain Elixir Overview Elixir App Java: All Frameworks PHP: All Frameworks C# .NET ASP C# .NET 4 ASP Docker / Docker Compose File Fluent Forward curl OpenTelemetry Protocol (OTLP) Syslog RFC5424 Systemd / Journald Native OpenTelemetry Overview Error Monitoring Logging Tracing Browser Instrumentation Metrics Fullstack Frameworks Overview Next.js Fullstack Overview Next.js Page Router Guide Next.js App Router Guide Edge Runtime Advanced Config Remix Walkthrough Self Host & Local Dev Overview Development deployment guide. Integrations Microsoft Teams self-hosted Hobby deployment guide. Traefik SSL Proxying. Docs Home SDK Client SDK API Reference Cloudflare Worker SDK API Reference Go SDK API Reference Hono SDK API Reference Java SDK API Reference Next.JS SDK API Reference Node.JS SDK API Reference Python SDK API Reference Ruby SDK API Reference Rust SDK API Reference Docs / Highlight Docs / Product Features / Dashboards / Metrics Tutorials / Creating User Engagement Metrics Creating User Engagement Metrics Overview This tutorial guides you through creating a graph to measure and analyze user engagement metrics. By following these steps, you'll be able to track user interactions with your application and gain insights into user behavior and trends. Step-by-step Guide 1. Select the Data Source Begin by choosing the source of the metrics. For user engagement, we'll use user sessions as our data source. This will provide us with rich information about how users interact with our application. 2. Choose the Graph Type Next, select the type of graph you want to use to visualize your data. For this example, we'll use a bar graph, which is excellent for comparing values across different categories. 3. Apply Filters To focus on specific user interactions, apply filters to your data. In this case, we'll filter for sessions where the URL contains the word "session". This helps us concentrate on particular pages or features of interest. 4. Group the Data Group the sessions by a relevant attribute. For this example, we'll group by the email (or identifier) that a user reports on that session. This allows us to analyze engagement on a per-user basis. Read more about reporting identifiers in our docs . 5. Analyze the Results The resulting graph will show a count of all the emails (representing users) across all filtered sessions. This visualization allows you to: Identify your most active users Spot trends in user engagement over time Understand which parts of your application are most frequently accessed 6. Refine Your Metrics If you want to track unique users rather than total interactions, you can modify the graph to use a "count distinct" function instead of a simple count. This can be particularly useful for metrics like Daily Active Users (DAU). 7. Interpret and Act on the Data Use the insights from your graph to understand the bigger picture of your application's usage: Identify your most engaged users and what characterizes their behavior Spot any decline in engagement and investigate potential causes Recognize successful features or content that drive higher engagement Plan targeted improvements or campaigns based on user engagement patterns By consistently monitoring and analyzing these user engagement metrics, you'll be able to make data-driven decisions to improve your application's user experience and overall success. Remember to regularly review and adjust your metrics to ensure they continue to provide valuable insights as your application and user base evolve. Creating Web Vitals & Page Speed Metrics User Analytics Community / Support Suggest Edits? Follow us! [object Object] | 2026-01-13T08:48:16 |
http://apihandyman.io/talks/ | API Handyman | Talks & Podcasts API Handyman Blog All content Posts Talks & Podcasts Blog Posts Talks & Podcasts Toolbox About Hi! I'm Arnaud Lauret, the API Handyman and author of The Design of Web APIs. You'll find here all my talks and podcasts. You can also read my book OpenAPI does what Swagger don't By Arnaud Lauret, September 21, 2022 Let’s compare versions Swagger 2.0 and OpenAPI 3.0, and 3.1 to demonstrate the benefits of the new features introduced by 3.x versions to create more precise, better documented, more practical, and future-proof API contract descriptions. Le Clash REST vs GraphQL By Nicolas Barrasson & Jonathan Jalouzot & Arnaud Lauret, December 9, 2021 L’idée folle de l’équipe Microsoft User Group France pour API Days Paris 2021: un clash REST (représenté par votre serviteur) vs GraphQL (représenté par Jonathan Jalouzot , tenancier du Meetup GraphQL Paris) arbitré par Nicolas Barrasson . Talking about The Design of Web APIs with Erik Wilde By Erik Wilde & Arnaud Lauret, November 30, 2021 Had a great time chatting with Erik Wilde about the motivation for writing The Design of Web APIs book, and why it specifically focuses on the design aspect of the API lifecycle (and also why it is not titled The Implementation of Web APIs). Taking advantage of OpenAPI for API Design reviews By Arnaud Lauret, September 28, 2021 After my first recorded live demo session, here comes my first non recorded actually live session in which I show how I take advantage of the OpenAPI Specification during API design reviews. Note that I experienced some technical issues during this session, you’ll find the story in my “Barely surviving my first live (non recorded) demo session” post . Toro Cloud's Coding Over Cocktails Podcast: The Design of Web APIs By David Brown & Kevin Montalbo & Arnaud Lauret, September 16, 2021 I was invited by David Brown and Kevin Montalbo for Toro Cloud’s Coding Over Cocktail podcast. We discussed API consistency, how to make your APIs more discoverable, defining and setting the boundaries between an API gateway and API implementation, and choosing the right API architecture and technology for the right problem. Stoplight's API Intersection Podcast: The Ultimate Guide to Style Guides By Jason Harmon & Adam Duvander & Arnaud Lauret, September 15, 2021 I was invited to Stoplight’s API Intersection podcast hosted by my two good friends Jason Harmon and Adam Duvander. As it was Stoplight’s “Style Guide September”, we discussed one of my favorite topics, covered quickly in my book The Design of Web APIs, and that I practice everyday helping people to create APIs: API design style guides. Electro Monkeys Podcast - Le Design des APIs Web By Stéphane Beuret & Arnaud Lauret, August 25, 2021 C’est avec un grand plaisir que j’ai répondu à l’invitation de Stéphane Beuret pour parler d’API (en français pour une fois) dans son podcast Electro Monkeys. On y parle de lavabo, de mon livre (The Design of Web APIs, en anglais lui) mais aussi et surtout de design d’API, de sécurité, cycle de vie et gestion des erreurs. Toutes ces choses auxquelles il faut penser pour faire de bonnes API Web. Supercharge OpenAPI to efficiently describe APIs By Arnaud Lauret, August 3, 2021 If you want to discover the OpenAPI Specification format, this video is for you! In my first ever (recorded) live coding session, given at the 2021 Manning API Conference, I demonstrate basic, advanced, and even hidden features that will help you to efficiently create complete, accurate, and maintainable API descriptions when designing documenting APIs. Human Centered API Governance By Arnaud Lauret, June 30, 2021 For many, governance is a scary word, but it’s up to us, API practitioners to make that change and make people love it. That could be done if we build a human centered and pragmatic API governance focusing more on helping and training people than controlling and coercing them Generating OpenAPI Descriptions. When is it a good idea? By Erik Wilde & Arnaud Lauret, June 1, 2021 As a follow up of my “6 reasons why generating OpenAPI sucks” post, I had the pleasure to talk about “is it a good idea to generate OpenAPI descriptions?” with Erik Wilde . In this discussion, we answer this questions at various stages of the API lifecycle: design time, code time, and runtime. 1 3 Privacy Policy & Settings © 2015-2024 Arnaud Lauret By continuing to use this web site you agree with the API Handyman website privacy policy (effective date , June 28, 2020). Read privacy policy Happy with that Read privacy policy Happy with that | 2026-01-13T08:48:16 |
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https://stackoverflow.blog/2024/09/30/attribution-as-the-foundation-of-developer-trust/ | Attribution as the foundation of developer trust - 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. September 30, 2024 Attribution as the foundation of developer trust The entire AI ecosystem is at risk without trust. This post is the second in a series focused on the importance of human-centered sources of knowledge as LLMs transform the information landscape. The first post discusses the changing state of the internet and the related transitions in business models that emerged from that. To be explicit, we know that attribution also matters to our community and Stack Overflow. Beyond Creative Commons licensing or credit given to the author or knowledge source, we know it builds trust. As we’ve outlined in our earlier post, the entire AI ecosystem is at risk without trust. At Stack Overflow, attribution is non-negotiable. As part of this belief and our commitment to socially responsible AI , all contracts Stack Overflow signs with OverflowAPI partners must include an attribution requirement. All products based on models that consume public Stack data must provide attribution back to the highest-relevance posts that influenced the summary given by the model. Investments by API partners into community content should drive towards funding the growth and health of the community and its content. To this end, partners work with us because they want the Stack Exchange Community to be bought into their use of community content, not just for licensing alone: their reputation with developers matters, and they understand that attribution of Stack Overflow data alone is not enough to safeguard this reputation. Listening to the developer community In our 2024 Stack Overflow Developer Survey , we found that the gap between the use of AI and trust in its output continues to widen: 76% of all respondents are using or planning to use AI tools, up from 70% in 2023, while AI’s favorability rating decreased from 77% last year to 72%. Only 43% of developers say that they trust the accuracy of AI tools, and 31% of developers remain skeptical. The heart of all of this? Well, the top three ethical issues related to AI developers are concerned with are AI's potential to circulate misinformation (79%), missing or incorrect attribution for sources of data (65%), and bias that does not represent a diversity of viewpoints (50%). Pressures from within the technology community and the larger society drive LLM developers to consider their impact on the data sources used to generate answers. This has created an urgency around data procurement focused on high-quality training data that is better than what is publicly available. The race by hundreds of companies to produce their own LLM models and integrate them into many products is driving a highly competitive environment. As LLM providers focus more on enterprise customers, multiple levels of data governance are required; corporate customers are much less accepting of lapses in accuracy (vs. individual consumers) and demand accountability for the information provided by models and the security of their data. With the need for more trust in AI-generated content, it is critical to credit the author/subject matter expert and the larger community who created and curated the content shared by an LLM. This also ensures LLMs use the most relevant and up-to-date information and content, ultimately presenting the Rosetta Stone needed by a model to build trust in sources and resulting decisions. All of our OverflowAPI partners have enabled attribution through retrieval augmented generation (RAG). For those who may not be familiar with it, retrieval augmented generation is an AI framework that combines generative large language models (LLMs) with traditional information retrieval systems to update answers with the latest knowledge in real time (without requiring re-training models). This is because generative AI technologies are powerful but limited by what they “know” or “the data they have been trained on.” RAG helps solve this by pairing information retrieval with carefully designed system prompts that enable LLMs to provide relevant, contextual, and up-to-date information from an external source. In instances involving domain-specific knowledge (like industry acronyms), RAG can drastically improve the accuracy of an LLM's responses. LLM users can use RAG to generate content from trusted, proprietary sources, allowing them to quickly and repeatedly generate up-to-date and relevant text. An example could be prompting your LLM to write good quality C# code by feeding it a specific example from your code base. RAG also reduces risk by grounding an LLM's response in trusted facts that the user identifies explicitly. If you've interacted with a chatbot that knows about recent events, is aware of user-specific information, or has a deeper understanding of a particular subject, you've likely interacted with RAG without realizing it. This technology is evolving rapidly, so it’s a good reminder for us all to question what we think we know is possible regarding what LLMs can do in terms of attribution. Recent developments showing the “thought process” behind LLM responses may open other avenues for attribution and source disclosure. As these new avenues come online and legal standards evolve, we will continue to develop our approach and standards for partners concerning attribution. What does attribution look like? Given the importance of attribution, we would like to provide a few examples of various products that consume and expose Stack Exchange community knowledge. We will continue to share other examples as they become public. Google, for example, highlights knowledge in Google’s Gemini Cloud Assist, which is currently being tested internally at Google and set to be released by the end of 2024. As Google expands its partnership with us, it is increasing its thinking about other entry points for its integrations with us: expect to see attribution of Stack Overflow content in other Google products, interfaces, and services. OpenAI is surfacing Stack results in ChatGPT conversations about a variety of coding topics, helping drive recognition of, attribution, and traffic back to our community: SearchGPT, OpenAI’s search prototype, also surfaces Stack links in conversational responses and in its search results, providing numerous links back to our community: These integrations represent a common theme: attributing content is not just an advantage for authors and community members. It also represents an opportunity to serve developers better: Code-gen tools like these, especially with embedded AI, have great potential and utility for developers. Still, they don’t have all the answers, creating a new problem for developers: What do you do when your LLM doesn't have a sufficient answer to your customers’ questions? Stack Overflow can help. Finally, it enables Stack partners to support compliance with community licensing under Creative Commons, a necessity for any Stack Exchange community content user. Links like these provide an entry point for developers to go deeper into the world of Stack Community knowledge, drive traffic back to communities, and enable developers to solve complex problems that AI doesn’t have the answer to. Creating these feedback loops allows developers, the community, and API partners to benefit from developing and curating community knowledge. Over the coming months and years, we’ll embed these feedback loops into our products and services to enable communities and organizations to leverage knowledge-as-a-service while building trust in community content and its validity. And more importantly, we will build confidence in and with our communities as we use partner investment in these integrations to directly invest in building the tools and systems that drive community health. Please read through our community product strategy and roadmap series for more information, including an update from our Community Products team that will be coming later this week. Author s Ellen Brandenberger Senior Director, Product, Knowledge Solutions Staff Ryan Polk Former staff Ryan is Chief Product Officer at Stack Overflow. My role is to grow the product pieces of our work and set the site and the network on a path to build on the outstanding success … Socially responsible AI AI Knowledge as a service 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://dev.to/piskun_lab_mcp/how-i-connected-claude-desktop-to-notion-using-mcp-open-source-cloud-hosted-91i | How I Connected Claude Desktop to Notion using MCP (Open Source & Cloud-Hosted) - 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 Piskun Lab Posted on Dec 15, 2025 How I Connected Claude Desktop to Notion using MCP (Open Source & Cloud-Hosted) # programming # mcp # ai # tutorial I love using Claude Desktop and Cursor, but I kept running into a wall: Context Switching. Every time I needed to reference my project specs, meeting notes, or task lists, I had to Alt-Tab to Notion, copy the text, and paste it into the chat. It felt archaic. I looked for existing Model Context Protocol (MCP) servers for Notion, but most were designed to run locally via stdio. This meant keeping a terminal window open forever, dealing with Python dependencies, and restarting it every time my laptop went to sleep. So, I built my own solution. 🛠 What I Built I created a Cloud-Native Notion MCP Server that runs 24/7 using Server-Sent Events (SSE). Stack: Node.js, TypeScript, Express. Transport: Native MCP over SSE (instead of stdio). Hosting: Deploys easily on Apify (runs on the free tier). Security: Bearer Token authentication (so you don't leak secrets). 🚀 Why do this? By moving the MCP server to the cloud, you turn Notion into a persistent "knowledge backend" for your AI. Always On: No need to run npm start locally. Secure: Tokens are managed via environment variables, not hardcoded in your local config. Multi-Client: Connect both Claude Desktop and Cursor to the same instance. ⚙️ How to set it up (5 minutes) Here is how you can set it up for free using the Apify platform. Step 1: Deploy the Server I wrapped the code into an Apify Actor. You can deploy it with one click (no credit card required for the free tier). 👉 https://apify.com/piskunlab/notion-mcp-server Once deployed, copy your Actor URL and set your NOTION_TOKEN. Step 2: Configure Claude/Cursor Since we are using SSE, we don't need to point to a local file. We point to the cloud URL. For Claude Desktop (claude_desktop_config.json): JSON { "mcpServers": { "notion-cloud": { "command": "", "args": [], "url": " https://your-actor-url.apify.actor/sse ", "headers": { "Authorization": "Bearer YOUR_SECRET_TOKEN" } } } } Step 3: Test it out Restart Claude. You should see a generic "mcp-server" icon. Now you can ask: "Read the page 'Project Roadmap' and summarize the tasks for this week." "Create a new bug report in my 'Bugs' database." 🔧 Under the Hood For those interested in the code, the project is open-source. It uses the official @modelcontextprotocol/sdk mapped to Express endpoints. GET /sse establishes the event stream. POST /message handles the JSON-RPC traffic. It handles Rate Limiting to ensure you don't hit Notion's API limits too hard. Check out the code here: 👉 https://github.com/piskunproject/notion-mcp-server I'm planning to build similar persistent servers for GitHub and Slack next. Let me know in the comments if you have any feature requests! Happy coding! 🚀 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 Piskun Lab Follow Location Sweden Joined Dec 15, 2025 Trending on DEV Community Hot I Built an AI-Powered Trend Analysis Tool Using the Virlo API (Here's How It Works) # python # ai # api # news The “AI operator” mindset for small teams # webdev # ai # startup # productivity I Am 38, I Am a Nurse, and I Have Always Wanted to Learn Coding # career # learning # beginners # coding 💎 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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http://apihandyman.io/privacy/ | API Handyman | Privacy Policy API Handyman Blog All content Posts Talks & Podcasts Blog Posts Talks & Podcasts Toolbox About Read my book Privacy settings About cookies and local storage Cookies Local storage Essential Cloudflare _cfduid cookie Cookieless anonymized Google Analytics Optional Privacy policy banner toggler in local storage Embedded third party content cookie or local storage Privacy Policy June 28, 2020 This Privacy Policy is meant to help you understand what information this website collect and why it collect it. This page also allows also to check and update your privacy settings on this website. Privacy settings Setting Essential/Optionnal Status Documentation Cloudflare _cfuid Cookie Essential Cookieless anonymized Google Analytics Essential Local storage privacy banner toggler Optional Cookie and local storage Vimeo (third party) Optional Cookie and local storage YouTube (third party) Optional About cookies and local storage Like many other websites, this website and the included third party content rely on storing data in cookies and browser’s local storage. Cookies According to Wikipedia , an HTTP cookie (also called web cookie, Internet cookie, browser cookie, or simply cookie) is a small piece of data sent from a website and stored on the user’s computer by the user’s web browser while the user is browsing. Cookies are sent to their originating server on each request made by the browser. Local storage According to Wikipedia , browser’s local storage can also contain data but is only available for client-side scripting. The data available in local storage is not automatically transmitted to the server in every HTTP request. However, this can be achieved with explicit client side scripts. Essential Cloudflare _cfduid cookie This website is served through Cloudflare CDN infrastructure and therefore requires the use of _cfduid cookie.According to Cloudflare documentation : The _cfduid cookie helps Cloudflare detect malicious visitors to our Customers’ websites and minimizes blocking legitimate users. It may be placed on the devices of our customers’ End Users to identify individual clients behind a shared IP address and apply security settings on a per-client basis. It is necessary for supporting Cloudflare’s security features. The _cfduid cookie collects and anonymizes End User IP addresses using a one-way hash of certain values so they cannot be personally identified. The cookie is a session cookie that expires after 30 days. The _cfduid cookie does not: allow for cross-site tracking, follow users from site to site by merging various _cfduid identifiers into a profile, or correspond to any user ID in a Customer’s web application. Read more on Cloudflare website Cookieless anonymized Google Analytics This website relies an Google Analytics to gather analytics data, it has been configured to avoid collecting personal data by disabling cookies, not storing end user id and anonymizing IP addresses. Following Google Analytics documentation about their use of cookies and how to identify users , all of their cookies have been disabled and no end user identifier (named clientId ) is sent to Google nor stored anywhere. Also, following Google Analytics documentation, IP addresses are anonymized when collecting analytics data. Optional Privacy policy banner toggler in local storage In order to avoid showing the privacy message on each visit, this website can store the privacy policy’s effective date in a acceptedPrivacyPolicyDate value when privacy banner is dismissed. If privacy policy should evolve, the privacy banner will be shown again. Embedded third party content cookie or local storage Some pages of this website may contain embedded content hosted by third parties (listed below). Such content will be loaded only if you choose to see it. By showing such third party content, you accept this third party privacy policy. You may also choose to store your choice in browser’s local storage. Third party Usage Policy YouTube (Google) Embedded video Privacy policy Vimeo Embedded video Cookie policy Privacy Policy & Settings © 2015-2024 Arnaud Lauret By continuing to use this web site you agree with the API Handyman website privacy policy (effective date , June 28, 2020). Read privacy policy Happy with that Read privacy policy Happy with that | 2026-01-13T08:48:16 |
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https://stackoverflow.co/labs/?utm_medium=referral&utm_source=survey&utm_campaign=dev-survey-2025&utm_content=labs-dropdown | Labs - 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. Labs Where we explore future of collective knowledge sharing through experiments. Subscribe to the podcast Get The Stack Overflow Podcast at your favorite listening service. Apple Podcasts Overcast Overcast Pocket Casts Spotify RSS feed June 25, 2025 AI Assist AI Assist is an AI tool that prioritizes trusted, community-verified knowledge before other sources. It helps developers get answers instantly, learn along the way and provide a path into the largest community of technology enthusiasts. Labs Labs: Beta February 4, 2025 Answer Assistant Answer Assistant is an experiment to explore if AI can help improve the answer experience and encourage knowledge sharing by leveraging AI-generated answers verified by the community. Labs Labs: Experiment January 16, 2025 Question Assistant Question Assistant is an AI feature that evaluates question drafts and provides real-time suggestions for improvements before they’re submitted for human review in Staging Ground or published to Stack Overflow. Labs Labs: Experiment October 29, 2024 Stack Overflow extension for GitHub Copilot The Stack Overflow extension for GitHub Copilot provides trusted answers to your coding questions. Eliminate the need to switch between applications when you're stuck. Directly in Copilot, you can @askstackoverflow your question and get a summarized response based on more than 58 million+ questions and answers on Stack Overflow. Labs Labs: Alpha July 22, 2024 2024 Developer Survey Insights for AI/ML The latest insights on AI from our 2024 Developer Survey. This deep dive covers statistics on usage, sentiment, trust and challenges among different groups of developers. Labs Labs: Research February 16, 2024 Discussions: deeper dialogue and perspectives for all technical topics A space for threaded, public conversations on Stack Overflow for developers to engage in deeper dialogue and share perspectives on technical topics. Labs Labs: Experiment September 13, 2023 Community Search A vision of how Stack Overflow’s search and question asking could evolve and provide you with instant summarized solutions, aggregated by GenAI, with the option to ask follow-up questions in a chat-like format. Labs Labs: Vision July 27, 2023 Next Generation Slack Integration The StackPlusOne Slack chatbot can get you generated solutions to most technical challenges instantly. Labs Labs: Experiment July 27, 2023 AI Technical Design Decisions: Are You Summarizing or Question Answering We look at at the difference between summarizing and question answering when using LLMs. Labs Labs: Research July 27, 2023 Natural Language Processing (NLP) Collective A collective focused on NLP (natural language processing), the transformation or extraction of useful information from natural language data. Labs Labs: Graduated June 15, 2023 Question Formatting Assistant Using AI to improve the quality and format of questions on the platform to make reviewing easier. Labs Labs: Experiment June 12, 2023 Developer sentiment around AI/ML (2023) This year we used our 2023 Developer Survey to ask 90,000 developers & technologists how they feel about AI/ML. We go deep into the data to understand the nuances in sentiment and use. Labs Labs: Research June 7, 2023 Title Suggestions Using AI during the question writing process to help generate more descriptive, accurate titles. Labs Labs: Experiment June 7, 2023 Chat Decipher Use AI to extract questions from chat transcripts such as Slack and group together ones that are similar or duplicates. Labs Labs: Experiment May 14, 2023 Stack Overflow for Visual Studio Code meets you where you work Seamlessly interact with Stack Overflow for Teams and Stack Overflow with Stack Overflow for Visual Studio Code. Labs Labs: Graduated May 14, 2023 Enhanced Search on Stack Overflow for Teams Use GenAI to get quick summarized answers by entering your questions directly into the search box. Labs Labs: Graduated 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 | 2026-01-13T08:48:16 |
http://apihandyman.io/toolbox/ | API Handyman | Toolbox API Handyman Blog All content Posts Talks & Podcasts Blog Posts Talks & Podcasts Toolbox About Hi! I'm Arnaud Lauret, the API Handyman and author of The Design of Web APIs. You'll find here all the tools I use. You can also read my book James Higginbotham's API Developer Weekly Newsletter Hundreds if not thousand of websites talk about APIs, I rely on James Higginbotham’s newsletter to stay up to date about what is happening in the API space thanks to his weekly selection of great posts. Kin Lane's API Evangelist API Handyman wouldn’t exist without the API Evangelist. It’s always a pleasure to read Kin Lane’s views on the API space. This site is a hyper-mega-huge source of information about ALL aspects of APIs from API definitions to monetization and governance and dozens of other topics. Arnaud Lauret's API Specifications Map The OpenAPI map needs a refresh to supports OpenAPI 3.1 and I wanted to do a similar thing for AsyncAPI. I started to work on toolings that takes the OpenAPI markdown specification and turn it into data and I built a prototype to render it. Everything you want to know about each version of both specifications is there. Arnaud Lauret's API Stylebook I started this project with a simple API Design Guidelines list in mind and ended with a fully analyzed collection of API design guidelines. I created it for others but I use it myself too. When I wonder how to handle some API design matters, I select the related topic and read how others handle it. To be honest, it needs some refresh, it is a real pain to update and maintain and could be more user friendly; that’s on my todo list. Github's Github Actions Github Actions allows to create workflows right in your Github repositories. I use them to manage the apihandyman.io blog build and (scheduled) publication. HTTPie A CURL cousin that I often use then demoing API calls on the command line. I find it’s input and output capabilities more convenient than CURL’s to showcase how HTTP API work. Stephen Dolan's JQ Ever wanted to quickly find, extract or modify data coming from some JSON documents on the command line? JQ is the tool you’re looking for. I use it every time I need to transform, modify or extract some properties from an API’s response or analyze OpenAPI specification JSON files during my API reviews. Jekyll Jekyll is a static site generator powered by Ruby, Markdown and Liquid that I use the the apihandyman.io blog and the apistylebook.com website. Matthew Reinbold's Net API Notes Newsletter I always read Matthew Reinbold’s Net API Notes Newsletter with delight. It’s not just a bunch of links; every week Matthew actually writes a letter in which he shares his thoughts accompanied with links to relevant posts of the past week. Postman's Newman Newman is the command line counter part of Postman. I use it to run Postman’s collection in the terminal, especially to batch API calls based on CSV data. OBS Project's OBS Studio Whenever I need to record or stream a live coding session, I use OBS Studio. In a few click you can transform your computer in a powerful TV production studio. It’s fairly easy to share your screen, add overlays, or switch scene depending on the selected application. Arnaud Lauret's OpenAPI Map I built the OpenAPI map because I was constantly searching for “how do this with the OpenAPI spec” and also “but where is that thing” in the specification. Having the OpenAPI specification represented as a tree given essential information and quick access to source documentation of each element saved me countless time. OpenAPI Initiative's OpenAPI Specification Without the OpenAPI Specification (fka. Swagger Specification), my job would be a total nightmare. It is a machine readable API description format that I use when I design APIs, when reviewing API designs, documenting APIs, checking that implementation conforms to design and build implementation. Postman's Postman I use Postman to do API call when I learn to use a new API. It’s also very powerful and convenient to document API, I try to always have a Postman collection in the code repositories of the APIs I build and if possible, I share it in a public Postman workspace. Postman’s runner feature is incredibly useful to batch API calls with data coming from CSV files. Stoplight's Prism I use Prism when designing API and showcasing the OpenAPI Specification. It’s really convenient to generate a basic but dynamic mock, fully taking advantage of an OpenAPI document. Stoplight's Spectral I use Spectral while designing APIs and during API design reviews. It is a JSON/YAML linter with built-in support for OpenAPI 2 and 3 (and also AsyncAPI). I use it to check that API designs conform to my guidelines and also to spot unusual design patterns that needs to be discussed with the people in charge of the API. It really speeds up my reviews and help me avoid oversights. Stoplight's Studio I use Spectral while designing APIs and during API design reviews. It is API an design UI that supports OpenAPI 2 and 3. It comes with a totally awesome Spectral (OpenAPI linter) integration. The UI does not cover all features of the OpenAPI formats, but it’s not a problem for most users: this is the most complete and the best tool of his kind. And I love being able to switch between UI and code views (this also helps to do what you can’t do with the UI). ToughtWorks's Technology Radar Thoughtworks is a quite famous software consultancy company, brilliant minds such as Martin Fowler are working there. Every 6 months, they publish their Technology Radar that I enjoy reading to discover new trends, techniques and tools and also to confront my own views to theirs about topics I’m already aware of. Microsoft's Visual Studio Code Whenever I need to wrote code, I write it with Visual Studio Code. This blog and my live coding presentations are powered by VS Code. To be honest, I was quite dubious at first. But now I can’t do without this ultra flexible and customizable code editor with thousands of extensions. Erik Wilde's Web Concepts If you wonder what means a 418 HTTP status code or which RFC defines the txn JWT claim, Web concepts is what you’re looking for. I just stopped doing HTTP/web/RFC related search, I now always check Erik Wilde’s web concepts first and usually find what I’m looking for instantly. Icing on the cake, all data is also available in JSON format. 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https://docs.github.com/en/communities | Building communities documentation - GitHub Docs Skip to main content GitHub Docs Version: Free, Pro, & Team Search or ask Copilot Search or ask Copilot Select language: current language is English Search or ask Copilot Search or ask Copilot Open menu Open Sidebar Building communities Home Building communities Healthy contributions Management & moderation Community profiles Access community profiles Add a code of conduct Contributor guidelines Add a license to a repo Add support resources Community health file Encourage contributions Issue & PR templates About templates Configure Syntax for issue forms Syntax for GitHub's form schema Create a PR template Common validation errors when creating issue forms Moderation Manage comments Locking conversations Limit interactions in repo Limit interactions in account Limit interactions in org Track comment changes Manage abuse in your org Manage reported content Maintaining safety Block from your account View blocked users in account Unblock from your account Block from your org View blocked users in org Unblock from your org Reporting abuse or spam Using wikis About wikis Manage wiki pages Create footer or sidebar Editing wiki content View a history of changes Change access permissions Disabling wikis Building communities documentation Learn best practices for moderating and setting up collaborative, safe, and effective communities using GitHub’s community-tested tools. Start here Setting guidelines for repository contributors You can create guidelines to communicate how people should contribute to your project. Adding a code of conduct to your project Adopt a code of conduct to define community standards, signal a welcoming and inclusive project, and outline procedures for handling abuse. Managing disruptive comments You can hide, edit, or delete comments on issues, pull requests, and commits. Popular Creating a pull request template for your repository When you add a pull request template to your repository, project contributors will automatically see the template's contents in the pull request body. Reporting abuse or spam You can report behavior and content that violates community guidelines and terms. Adding a license to a repository You can include an open source license in your repository to make it easier for other people to contribute. Configuring issue templates for your repository You can customize the templates that are available for contributors to use when they open new issues in your repository. Guides Editing wiki content You can add images and links to content in your wiki, and use some supported MediaWiki formats. @GitHub Blocking a user from your personal account You can block a user to deny them access to your activity and repositories, and to prevent them from sending you notifications. @GitHub Blocking a user from your organization Organization owners and moderators can block anyone who is not a member of the organization from collaborating on the organization's repositories. @GitHub All Building communities docs Setting up your project for healthy contributions About community management and moderation About community profiles for public repositories Accessing a project's community profile Adding a code of conduct to your project Setting guidelines for repository contributors Adding a license to a repository Adding support resources to your project Creating a default community health file Encouraging helpful contributions to your project with labels Using templates to encourage useful issues and pull requests About issue and pull request templates Configuring issue templates for your repository Syntax for issue forms Syntax for GitHub's form schema Creating a pull request template for your repository Common validation errors when creating issue forms Moderating comments and conversations Managing disruptive comments Locking conversations Limiting interactions in your repository Limiting interactions for your personal account Limiting interactions in your organization Tracking changes in a comment Managing how contributors report abuse in your organization's repository Managing reported content in your organization's repository Maintaining your safety on GitHub Blocking a user from your personal account Viewing users you've blocked from your personal account Unblocking a user from your personal account Blocking a user from your organization Viewing users who are blocked from your organization Unblocking a user from your organization Reporting abuse or spam Documenting your project with wikis About wikis Adding or editing wiki pages Creating a footer or sidebar for your wiki Editing wiki content Viewing a wiki's history of changes Changing access permissions for wikis Disabling wikis Help and support Did you find what you needed? 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https://stackoverflow.blog/business/ | Business Hub - 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. Business Hub Articles on business, SaaS, and the software that powers organizations. Related Tags knowledge base Leaders of code AI software development developer experience generative AI engineering leadership agentic AI Never miss out! Stay in the loop with fresh business content delivered straight to your inbox. Keep me updated Subscribe to the podcast Get The Stack Overflow Podcast at your favorite listening service. Apple Podcasts Overcast Overcast Pocket Casts Spotify RSS feed December 23, 2025 How Xerox and Stack Overflow partnered to preserve knowledge and power innovation How Stack Internal provided the foundation for a culture of continuous learning and open collaboration. Eira May 0 comment s data quality knowledge base developer tools Business Hub December 4, 2025 Postman’s journey and unlocking the power of APIs Lessons learned building a global API platform, navigating hyper-growth, and API-powered AI agents. Katja Skafar 0 comment s Leaders of code The Stack Overflow Podcast Business Hub AI software development developer experience API November 25, 2025 Essential ingredients for enterprise AI success Here, we’ve distilled the survey findings, laid out action items for leadership, and dug into recommendations around agentic AI for the enterprise. Spoiler alert: It all comes back to data quality. Eira May 2 comment s Leaders of code The Stack Overflow Podcast Business Hub developer survey AI developer tools November 13, 2025 One thing enterprise AI projects need to succeed? Community. Discover how leveraging an intelligent, community-driven knowledge layer is the key to grounding probabilistic tools, preventing AI hallucination, and validating high-quality code. Katja Skafar 2 comment s Leaders of code The Stack Overflow Podcast Business Hub AI software development developer experience October 23, 2025 What leaders need to know from the 2025 Stack Overflow Developer Survey This episode draws on insights from the 2025 Stack Overflow Developer Survey to equip leaders with ways to navigate the current AI landscape and capture value beyond the hype. Katja Skafar 0 comment s Leaders of code The Stack Overflow Podcast Business Hub AI software development developer experience 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 October 2, 2025 Building AI-ready teams: Why documentation and culture matter more than tools This episode provides insights and strategies to successfully navigate AI adoption in engineering teams. Learn how to build developer confidence and create environments that drive real results beyond the hype. Katja Skafar 0 comment s Leaders of code The Stack Overflow Podcast Business Hub AI software development developer experience September 11, 2025 How AI is reshaping developer teams and the future of software development Whether you're leading an engineering team today or preparing for an AI-integrated future, this conversation provides practical insights into where AI can have the greatest impact on your software delivery process. Katja Skafar 0 comment s Leaders of code The Stack Overflow Podcast Business Hub AI software development developer experience August 25, 2025 Making continuous learning work at work The most effective learning doesn’t happen in a classroom. It happens during work. Eira May 1 comment Business Hub knowledge building knowledge sharing knowledge base knowledge management learning August 21, 2025 Learning in the flow: Unlocking employee potential through continuous learning In this episode of Leaders of Code, Stack Overflow CEO Prashanth Chandrasekar and Christina Dacauaziliqua, Senior Learning Specialist at Morgan Stanley, talk about the importance of experiential learning in fast-paced environments. They emphasize the value of creating intentional learning environments where innovative tools meet collaborative communities to support growth for both individuals and organizations. Katja Skafar 0 comment s Leaders of code Business Hub The Stack Overflow Podcast engineering leadership August 4, 2025 Cross-pollination as a strategic advantage for forward-thinking organizations Innovation is at the heart of any successful, growing company, and often that culture begins with an engaged, interconnected organization. Phoebe Sajor 1 comment Business Hub knowledge building knowledge sharing knowledge base knowledge management learning mentoring July 31, 2025 The innovation, leadership, and team agility inside U.S. Bank’s cloud journey In this episode of Leaders of Code, Jody Bailey, Stack Overflow’s CTPO, Anirudh Kaul, Senior Director of Software Engineering, and Paul Petersen, Cloud Platform Engineering Manager, discuss the U.S. Bank’s journey from traditional banking practices to embracing new technologies. Katja Skafar 0 comment s Leaders of code Business Hub The Stack Overflow Podcast generative AI engineering leadership cloud computing cloud migration July 14, 2025 Building stronger engineering teams with aligned autonomy Striking the balance between speed and strategy is a major challenge for business and tech leaders. That’s where aligned autonomy comes in. Eira May 0 comment s Business Hub Leaders of code engineering leadership July 10, 2025 There is no golden path anymore: Engineering practices are being rewritten How do leaders ensure alignment, autonomy, and productivity as engineering practices continue to evolve? Katja Skafar 0 comment s Leaders of code Business Hub The Stack Overflow Podcast generative AI engineering leadership 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 19, 2025 "My job is going to change in a dramatic way”: Exploring the future of the internet with Cloudflare In this episode of Leaders of Code, Jody Bailey, Chief Product and Technology Officer at Stack Overflow, sits down with Dane Knecht, the newly appointed Chief Technology Officer at Cloudflare. Katja Skafar 0 comment s Leaders of code Business Hub The Stack Overflow Podcast generative AI engineering leadership June 11, 2025 Why you need diverse third-party data to deliver trusted AI solutions Diverse, high-quality data is a prerequisite for reliable, effective, and ethical AI solutions. David Gibson , Michael Geden 0 comment s Business Hub data data quality data diversity llm AI responsible ai 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 May 12, 2025 Beyond speed: Measuring engineering success by impact, not velocity If velocity is just a tool and not a goal, how do you measure real success for engineering teams? Phoebe Sajor 3 comment s Leaders of code Business Hub software development Engineering velocity development velocity metrics May 8, 2025 Best practices for third-party data acquisition: powering AI context This post explores crucial lessons learned in the trenches of data licensing, drawing insights from Stack Overflow and the growing importance of socially responsible data practices in a changing internet landscape. Ellen Brandenberger , David Gibson 2 comment s Business Hub data May 8, 2025 Moving beyond velocity: Measuring real business impact How can engineering teams move beyond traditional metrics like velocity to create real business impact? Katja Skafar Leaders of code Business Hub The Stack Overflow Podcast engineering leadership development velocity velocity metrics April 28, 2025 Banking on innovation: Engineering excellence in regulated financial services Financial institutions face a balancing act between tech innovation and strict regulations. As customer expectations for improved user experience and demands from those tasked with enhancing features keep rising, engineering teams need to find a harmonious middle ground. Katja Skafar , Susi O'Neill 1 comment Leaders of code Business Hub software development Engineering April 24, 2025 Standardization and simplification as key to engineering excellence In this episode of Leaders of Code, we chat with guests from Lloyds Banking Group about their focus on engineering excellence and the need for organizations to adapt to new technologies while ensuring customer safety and meeting their expectations. Katja Skafar Leaders of code Business Hub The Stack Overflow Podcast engineering leadership generative 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 | 2026-01-13T08:48:16 |
https://www.highlight.io/docs/general/product-features/session-replay/canvas-iframe | Canvas & Iframe Star us on GitHub Star Docs Sign in Sign up General Docs Welcome to highlight.io Get Started Roadmap Company Values Compliance & Security Open Source Contributing Overview GraphQL Backend Frontend (app.highlight.io) Landing Site (highlight.io) Documentation End to End SDK Example Apps Adding an SDK Application Architecture GitHub Code Spaces Code Style Good First Issues Self-hosting Self-hosted [Dev] Self-hosted [Hobby] Self-hosted [Enterprise] Telemetry Our Competitors Product Philosophy Product Features Session Replay Overview Canvas & Iframe Dev-tool Window Recording Tracking Users & Recording Events Filtering Sessions GraphQL Live Mode Performance Impact Player Session Caching Rage Clicks Request Proxying Session Search Extracting the Session URL Session Search Deep Linking Shadow Dom + Web Components Error Monitoring Overview Enhancing Errors with GitHub Error Search Filtering Errors Grouping Errors Managing Errors Manually Reporting Errors Sourcemaps General Features Overview Alerts Comments Digests Environments Search Segments Services Webhooks Logging Overview Log Alerts Log Search Tracing Overview Trace Search Dashboards Overview Dashboard Management Metrics Tutorials Service Latency Web Vitals & Page Speed User Engagement User Analytics Graphing Drilldown Event Search Dashboard Variables SQL Editor Metrics (beta) Overview Frequently Asked Questions. Integrations Integrations Overview Amplitude Integration ClickUp Integration Discord Integration Electron Support Front Integration GitHub Integration Grafana Integration Overview Setup Dashboards Alerts Height Integration Intercom Integration Jira Integration LaunchDarkly Integration Linear Integration Mixpanel Integration Nuxt Integration Pendo Integration Segment Integration Slack Integration Vercel Integration WordPress Plugin Highlight.io Changelog Overview Changelog 12 (02/17) Changelog 13 (02/24) Changelog 14 (03/03) Changelog 15 (03/11) Changelog 16 (03/19) Changelog 17 (04/07) Changelog 18 (04/26) Changelog 19 (05/22) Changelog 20 (06/06) Changelog 21 (06/21) Changelog 22 (08/07) Changelog 23 (08/22) Changelog 24 (09/11) Changelog 25 (10/03) Changelog 26 (11/08) Changelog 27 (12/22) Changelog 28 (3/6) Changelog 29 (4/2) Menu Highlight Docs Welcome to highlight.io Get Started Roadmap Company Values Compliance & Security Open Source Contributing Overview GraphQL Backend Frontend (app.highlight.io) Landing Site (highlight.io) Documentation End to End SDK Example Apps Adding an SDK Application Architecture GitHub Code Spaces Code Style Good First Issues Self-hosting Self-hosted [Dev] Self-hosted [Hobby] Self-hosted [Enterprise] Telemetry Our Competitors Product Philosophy Product Features Session Replay Overview Canvas & Iframe Dev-tool Window Recording Tracking Users & Recording Events Filtering Sessions GraphQL Live Mode Performance Impact Player Session Caching Rage Clicks Request Proxying Session Search Extracting the Session URL Session Search Deep Linking Shadow Dom + Web Components Error Monitoring Overview Enhancing Errors with GitHub Error Search Filtering Errors Grouping Errors Managing Errors Manually Reporting Errors Sourcemaps General Features Overview Alerts Comments Digests Environments Search Segments Services Webhooks Logging Overview Log Alerts Log Search Tracing Overview Trace Search Dashboards Overview Dashboard Management Metrics Tutorials Service Latency Web Vitals & Page Speed User Engagement User Analytics Graphing Drilldown Event Search Dashboard Variables SQL Editor Metrics (beta) Overview Frequently Asked Questions. Integrations Integrations Overview Amplitude Integration ClickUp Integration Discord Integration Electron Support Front Integration GitHub Integration Grafana Integration Overview Setup Dashboards Alerts Height Integration Intercom Integration Jira Integration LaunchDarkly Integration Linear Integration Mixpanel Integration Nuxt Integration Pendo Integration Segment Integration Slack Integration Vercel Integration WordPress Plugin Highlight.io Changelog Overview Changelog 12 (02/17) Changelog 13 (02/24) Changelog 14 (03/03) Changelog 15 (03/11) Changelog 16 (03/19) Changelog 17 (04/07) Changelog 18 (04/26) Changelog 19 (05/22) Changelog 20 (06/06) Changelog 21 (06/21) Changelog 22 (08/07) Changelog 23 (08/22) Changelog 24 (09/11) Changelog 25 (10/03) Changelog 26 (11/08) Changelog 27 (12/22) Changelog 28 (3/6) Changelog 29 (4/2) Getting Started Getting Started with Highlight Fullstack Mapping Browser React.js Next.js Remix Vue.js Angular Gatsby.js SvelteKit Electron highlight.run SDK Overview Canvas & WebGL Console Messages Content-Security-Policy Identifying Users iframe Recording Monkey Patches Browser OpenTelemetry Persistent Asset Storage Privacy Proxying Highlight React.js Error Boundary Recording Network Requests and Responses Recording WebSocket Events Salesforce Lightning Web Components (LWC) Data Export Sourcemap Configuration Tracking Events Troubleshooting Upgrading Highlight Versioning Sessions & Errors Other React Native (beta) Server Go Overview chi Echo Fiber Gin GORM gqlgen Logrus Manual Tracing gorilla mux JS Overview Apollo AWS Lambda Cloudflare Workers Express.js Firebase Hono Nest.js Next.js Node.js Pino tRPC Winston Python Overview AWS Lambda Azure Functions Django FastAPI Flask Google Cloud Functions Loguru Other Frameworks Python AI / LLM Libraries Python Libraries Ruby Overview Other Frameworks Ruby on Rails Rust Overview actix-web No Framework Hosting Providers Overview Metrics in AWS Logging in AWS Logging in Azure Fly.io NATS Log Shipper Logging in GCP Heroku Log Drain Render Log Stream Logging in Trigger.dev Vercel Log Drain Elixir Overview Elixir App Java: All Frameworks PHP: All Frameworks C# .NET ASP C# .NET 4 ASP Docker / Docker Compose File Fluent Forward curl OpenTelemetry Protocol (OTLP) Syslog RFC5424 Systemd / Journald Native OpenTelemetry Overview Error Monitoring Logging Tracing Browser Instrumentation Metrics Fullstack Frameworks Overview Next.js Fullstack Overview Next.js Page Router Guide Next.js App Router Guide Edge Runtime Advanced Config Remix Walkthrough Self Host & Local Dev Overview Development deployment guide. Integrations Microsoft Teams self-hosted Hobby deployment guide. Traefik SSL Proxying. Docs Home SDK Client SDK API Reference Cloudflare Worker SDK API Reference Go SDK API Reference Hono SDK API Reference Java SDK API Reference Next.JS SDK API Reference Node.JS SDK API Reference Python SDK API Reference Ruby SDK API Reference Rust SDK API Reference Docs / Highlight Docs / Product Features / Session Replay / Canvas & Iframe Canvas & Iframe Recording canvas elements highlight.io supports recording canvas (and therefore WebGL) elements, although due to the nature of canvas , there are caveats regarding the quality/fidelity of the recording. Read more about how to get started with this in our canvas configuration docs . Below is a video demo of what the video recording looks like: Installing highlight.io in an iframe The highlight.io snippet supports recording within an iframe, but given the security limitations, there are caveats. Read more about this in our sdk configuration docs . Recording Cross-origin iframe s To support recording a cross-origin iframe that you own, we've added functionality into our recording client that allows the iframe to forward its events to the parent session. Read more about this in our sdk configuration docs . If you do not own the parent page that is embedding your iframe cross-origin but you still want to record the iframe contents, pass recordCrossOriginIframe: false to the H.init options to force the iframe to record as a standalone app. Otherwise, the iframe will wait for the parent page to start recording. Session Replay Features Dev-tool Window Recording Community / Support Suggest Edits? Follow us! [object Object] | 2026-01-13T08:48:16 |
https://laravel.com/docs/8.x/sail?ref=apisyouwonthate.com | Laravel Sail - Laravel 8.x - The PHP Framework For Web Artisans Home ⌘K Version Master Version 12.x Version 11.x Version 10.x Version 9.x Version 8.x Version 7.x Version 6.x Version 5.8 Version 5.7 Version 5.6 Version 5.5 Version 5.4 Version 5.3 Version 5.2 Version 5.1 Version 5.0 Version 4.2 vMaster v12.x v11.x v10.x v9.x v8.x v7.x v6.x v5.8 v5.7 v5.6 v5.5 v5.4 v5.3 v5.2 v5.1 v5.0 v4.2 Prologue Release Notes Upgrade Guide Contribution Guide Getting Started Installation Configuration Directory Structure Starter Kits Deployment Architecture Concepts Request Lifecycle Service Container Service Providers Facades The Basics Routing Middleware CSRF Protection Controllers Requests Responses Views Blade Templates URL Generation Session Validation Error Handling Logging Digging Deeper Artisan Console Broadcasting Cache Collections Compiling Assets Contracts Events File Storage Helpers HTTP Client Localization Mail Notifications Package Development Queues Rate Limiting Task Scheduling Security Authentication Authorization Email Verification Encryption Hashing Password Reset Database Getting Started Query Builder Pagination Migrations Seeding Redis Eloquent ORM Getting Started Relationships Collections Mutators / Casts API Resources Serialization Testing Getting Started HTTP Tests Console Tests Browser Tests Database Mocking Packages Breeze Cashier (Stripe) Cashier (Paddle) Dusk Envoy Fortify Homestead Horizon Jetstream Octane Passport Sail Sanctum Scout Socialite Telescope Valet API Documentation Changelog Skip to content Prologue Release Notes Upgrade Guide Contribution Guide Getting Started Installation Configuration Directory Structure Starter Kits Deployment Architecture Concepts Request Lifecycle Service Container Service Providers Facades The Basics Routing Middleware CSRF Protection Controllers Requests Responses Views Blade Templates URL Generation Session Validation Error Handling Logging Digging Deeper Artisan Console Broadcasting Cache Collections Compiling Assets Contracts Events File Storage Helpers HTTP Client Localization Mail Notifications Package Development Queues Rate Limiting Task Scheduling Security Authentication Authorization Email Verification Encryption Hashing Password Reset Database Getting Started Query Builder Pagination Migrations Seeding Redis Eloquent ORM Getting Started Relationships Collections Mutators / Casts API Resources Serialization Testing Getting Started HTTP Tests Console Tests Browser Tests Database Mocking Packages Breeze Cashier (Stripe) Cashier (Paddle) Dusk Envoy Fortify Homestead Horizon Jetstream Octane Passport Sail Sanctum Scout Socialite Telescope Valet API Documentation Changelog WARNING You're browsing the documentation for an old version of Laravel. Consider upgrading your project to Laravel 12.x . Laravel Sail Introduction Installation & Setup Installing Sail Into Existing Applications Configuring A Bash Alias Starting & Stopping Sail Executing Commands Executing PHP Commands Executing Composer Commands Executing Artisan Commands Executing Node / NPM Commands Interacting With Databases MySQL Redis MeiliSearch File Storage Running Tests Laravel Dusk Previewing Emails Container CLI PHP Versions Node Versions Sharing Your Site Debugging With Xdebug Xdebug CLI Usage Xdebug Browser Usage Customization Introduction Laravel Sail is a light-weight command-line interface for interacting with Laravel's default Docker development environment. Sail provides a great starting point for building a Laravel application using PHP, MySQL, and Redis without requiring prior Docker experience. At its heart, Sail is the docker-compose.yml file and the sail script that is stored at the root of your project. The sail script provides a CLI with convenient methods for interacting with the Docker containers defined by the docker-compose.yml file. Laravel Sail is supported on macOS, Linux, and Windows (via WSL2 ). Installation & Setup Laravel Sail is automatically installed with all new Laravel applications so you may start using it immediately. To learn how to create a new Laravel application, please consult Laravel's installation documentation for your operating system. During installation, you will be asked to choose which Sail supported services your application will be interacting with. Installing Sail Into Existing Applications If you are interested in using Sail with an existing Laravel application, you may simply install Sail using the Composer package manager. Of course, these steps assume that your existing local development environment allows you to install Composer dependencies: 1 composer require laravel / sail -- dev composer require laravel/sail --dev After Sail has been installed, you may run the sail:install Artisan command. This command will publish Sail's docker-compose.yml file to the root of your application: 1 php artisan sail : install php artisan sail:install Finally, you may start Sail. To continue learning how to use Sail, please continue reading the remainder of this documentation: 1 . / vendor / bin / sail up ./vendor/bin/sail up Using Devcontainers If you would like to develop within a Devcontainer , you may provide the --devcontainer option to the sail:install command. The --devcontainer option will instruct the sail:install command to publish a default .devcontainer/devcontainer.json file to the root of your application: 1 php artisan sail : install -- devcontainer php artisan sail:install --devcontainer Configuring A Bash Alias By default, Sail commands are invoked using the vendor/bin/sail script that is included with all new Laravel applications: 1 ./vendor/bin/sail up ./vendor/bin/sail up However, instead of repeatedly typing vendor/bin/sail to execute Sail commands, you may wish to configure a Bash alias that allows you to execute Sail's commands more easily: 1 alias sail = ' [ -f sail ] && bash sail || bash vendor/bin/sail ' alias sail='[ -f sail ] && bash sail || bash vendor/bin/sail' Once the Bash alias has been configured, you may execute Sail commands by simply typing sail . The remainder of this documentation's examples will assume that you have configured this alias: 1 sail up sail up Starting & Stopping Sail Laravel Sail's docker-compose.yml file defines a variety of Docker containers that work together to help you build Laravel applications. Each of these containers is an entry within the services configuration of your docker-compose.yml file. The laravel.test container is the primary application container that will be serving your application. Before starting Sail, you should ensure that no other web servers or databases are running on your local computer. To start all of the Docker containers defined in your application's docker-compose.yml file, you should execute the up command: 1 sail up sail up To start all of the Docker containers in the background, you may start Sail in "detached" mode: 1 sail up -d sail up -d Once the application's containers have been started, you may access the project in your web browser at: http://localhost . To stop all of the containers, you may simply press Control + C to stop the container's execution. Or, if the containers are running in the background, you may use the stop command: 1 sail stop sail stop Executing Commands When using Laravel Sail, your application is executing within a Docker container and is isolated from your local computer. However, Sail provides a convenient way to run various commands against your application such as arbitrary PHP commands, Artisan commands, Composer commands, and Node / NPM commands. When reading the Laravel documentation, you will often see references to Composer, Artisan, and Node / NPM commands that do not reference Sail. Those examples assume that these tools are installed on your local computer. If you are using Sail for your local Laravel development environment, you should execute those commands using Sail: 1 # Running Artisan commands locally... 2 php artisan queue:work 3 4 # Running Artisan commands within Laravel Sail... 5 sail artisan queue:work # Running Artisan commands locally... php artisan queue:work # Running Artisan commands within Laravel Sail... sail artisan queue:work Executing PHP Commands PHP commands may be executed using the php command. Of course, these commands will execute using the PHP version that is configured for your application. To learn more about the PHP versions available to Laravel Sail, consult the PHP version documentation : 1 sail php --version 2 3 sail php script.php sail php --version sail php script.php Executing Composer Commands Composer commands may be executed using the composer command. Laravel Sail's application container includes a Composer 2.x installation: 1 sail composer require laravel/sanctum sail composer require laravel/sanctum Installing Composer Dependencies For Existing Applications If you are developing an application with a team, you may not be the one that initially creates the Laravel application. Therefore, none of the application's Composer dependencies, including Sail, will be installed after you clone the application's repository to your local computer. You may install the application's dependencies by navigating to the application's directory and executing the following command. This command uses a small Docker container containing PHP and Composer to install the application's dependencies: 1 docker run --rm \ 2 -u "$(id -u):$(id -g)" \ 3 -v $(pwd):/var/www/html \ 4 -w /var/www/html \ 5 laravelsail/php81-composer:latest \ 6 composer install --ignore-platform-reqs docker run --rm \ -u "$(id -u):$(id -g)" \ -v $(pwd):/var/www/html \ -w /var/www/html \ laravelsail/php81-composer:latest \ composer install --ignore-platform-reqs When using the laravelsail/phpXX-composer image, you should use the same version of PHP that you plan to use for your application ( 74 , 80 , or 81 ). Executing Artisan Commands Laravel Artisan commands may be executed using the artisan command: 1 sail artisan queue:work sail artisan queue:work Executing Node / NPM Commands Node commands may be executed using the node command while NPM commands may be executed using the npm command: 1 sail node --version 2 3 sail npm run prod sail node --version sail npm run prod If you wish, you may use Yarn instead of NPM: 1 sail yarn sail yarn Interacting With Databases MySQL As you may have noticed, your application's docker-compose.yml file contains an entry for a MySQL container. This container uses a Docker volume so that the data stored in your database is persisted even when stopping and restarting your containers. In addition, when the MySQL container is starting, it will ensure a database exists whose name matches the value of your DB_DATABASE environment variable. Once you have started your containers, you may connect to the MySQL instance within your application by setting your DB_HOST environment variable within your application's .env file to mysql . To connect to your application's MySQL database from your local machine, you may use a graphical database management application such as TablePlus . By default, the MySQL database is accessible at localhost port 3306. Redis Your application's docker-compose.yml file also contains an entry for a Redis container. This container uses a Docker volume so that the data stored in your Redis data is persisted even when stopping and restarting your containers. Once you have started your containers, you may connect to the Redis instance within your application by setting your REDIS_HOST environment variable within your application's .env file to redis . To connect to your application's Redis database from your local machine, you may use a graphical database management application such as TablePlus . By default, the Redis database is accessible at localhost port 6379. MeiliSearch If you chose to install the MeiliSearch service when installing Sail, your application's docker-compose.yml file will contain an entry for this powerful search-engine that is compatible with Laravel Scout . Once you have started your containers, you may connect to the MeiliSearch instance within your application by setting your MEILISEARCH_HOST environment variable to http://meilisearch:7700 . From your local machine, you may access MeiliSearch's web based administration panel by navigating to http://localhost:7700 in your web browser. File Storage If you plan to use Amazon S3 to store files while running your application in its production environment, you may wish to install the MinIO service when installing Sail. MinIO provides an S3 compatible API that you may use to develop locally using Laravel's s3 file storage driver without creating "test" storage buckets in your production S3 environment. If you choose to install MinIO while installing Sail, a MinIO configuration section will be added to your application's docker-compose.yml file. By default, your application's filesystems configuration file already contains a disk configuration for the s3 disk. In addition to using this disk to interact with Amazon S3, you may use it to interact with any S3 compatible file storage service such as MinIO by simply modifying the associated environment variables that control its configuration. For example, when using MinIO, your filesystem environment variable configuration should be defined as follows: 1 FILESYSTEM_DRIVER =s3 2 AWS_ACCESS_KEY_ID =sail 3 AWS_SECRET_ACCESS_KEY =password 4 AWS_DEFAULT_REGION =us-east-1 5 AWS_BUCKET =local 6 AWS_ENDPOINT =http://minio:9000 7 AWS_USE_PATH_STYLE_ENDPOINT =true FILESYSTEM_DRIVER=s3 AWS_ACCESS_KEY_ID=sail AWS_SECRET_ACCESS_KEY=password AWS_DEFAULT_REGION=us-east-1 AWS_BUCKET=local AWS_ENDPOINT=http://minio:9000 AWS_USE_PATH_STYLE_ENDPOINT=true Running Tests Laravel provides amazing testing support out of the box, and you may use Sail's test command to run your applications feature and unit tests . Any CLI options that are accepted by PHPUnit may also be passed to the test command: 1 sail test 2 3 sail test -- group orders sail test sail test --group orders The Sail test command is equivalent to running the test Artisan command: 1 sail artisan test sail artisan test Laravel Dusk Laravel Dusk provides an expressive, easy-to-use browser automation and testing API. Thanks to Sail, you may run these tests without ever installing Selenium or other tools on your local computer. To get started, uncomment the Selenium service in your application's docker-compose.yml file: 1 selenium : 2 image : ' selenium/standalone-chrome ' 3 volumes : 4 - ' /dev/shm:/dev/shm ' 5 networks : 6 - sail selenium: image: 'selenium/standalone-chrome' volumes: - '/dev/shm:/dev/shm' networks: - sail Next, ensure that the laravel.test service in your application's docker-compose.yml file has a depends_on entry for selenium : 1 depends_on : 2 - mysql 3 - redis 4 - selenium depends_on: - mysql - redis - selenium Finally, you may run your Dusk test suite by starting Sail and running the dusk command: 1 sail dusk sail dusk Selenium On Apple Silicon If your local machine contains an Apple Silicon chip, your selenium service must use the seleniarm/standalone-chromium image: 1 selenium : 2 image : ' seleniarm/standalone-chromium ' 3 volumes : 4 - ' /dev/shm:/dev/shm ' 5 networks : 6 - sail selenium: image: 'seleniarm/standalone-chromium' volumes: - '/dev/shm:/dev/shm' networks: - sail Previewing Emails Laravel Sail's default docker-compose.yml file contains a service entry for MailHog . MailHog intercepts emails sent by your application during local development and provides a convenient web interface so that you can preview your email messages in your browser. When using Sail, MailHog's default host is mailhog and is available via port 1025: 1 MAIL_HOST = mailhog 2 MAIL_PORT = 1025 3 MAIL_ENCRYPTION = null MAIL_HOST=mailhog MAIL_PORT=1025 MAIL_ENCRYPTION=null When Sail is running, you may access the MailHog web interface at: http://localhost:8025 Container CLI Sometimes you may wish to start a Bash session within your application's container. You may use the shell command to connect to your application's container, allowing you to inspect its files and installed services as well execute arbitrary shell commands within the container: 1 sail shell 2 3 sail root-shell sail shell sail root-shell To start a new Laravel Tinker session, you may execute the tinker command: 1 sail tinker sail tinker PHP Versions Sail currently supports serving your application via PHP 8.1, PHP 8.0, or PHP 7.4. The default PHP version used by Sail is currently PHP 8.1. To change the PHP version that is used to serve your application, you should update the build definition of the laravel.test container in your application's docker-compose.yml file: 1 # PHP 8.1 2 context : ./vendor/laravel/sail/runtimes/8.1 3 4 # PHP 8.0 5 context : ./vendor/laravel/sail/runtimes/8.0 6 7 # PHP 7.4 8 context : ./vendor/laravel/sail/runtimes/7.4 # PHP 8.1 context: ./vendor/laravel/sail/runtimes/8.1 # PHP 8.0 context: ./vendor/laravel/sail/runtimes/8.0 # PHP 7.4 context: ./vendor/laravel/sail/runtimes/7.4 In addition, you may wish to update your image name to reflect the version of PHP being used by your application. This option is also defined in your application's docker-compose.yml file: 1 image : sail-8.1/app image: sail-8.1/app After updating your application's docker-compose.yml file, you should rebuild your container images: 1 sail build -- no - cache 2 3 sail up sail build --no-cache sail up Node Versions Sail installs Node 16 by default. To change the Node version that is installed when building your images, you may update the build.args definition of the laravel.test service in your application's docker-compose.yml file: 1 build : 2 args : 3 WWWGROUP : ' ${WWWGROUP} ' 4 NODE_VERSION : ' 14 ' build: args: WWWGROUP: '${WWWGROUP}' NODE_VERSION: '14' After updating your application's docker-compose.yml file, you should rebuild your container images: 1 sail build -- no - cache 2 3 sail up sail build --no-cache sail up Sharing Your Site Sometimes you may need to share your site publicly in order to preview your site for a colleague or to test webhook integrations with your application. To share your site, you may use the share command. After executing this command, you will be issued a random laravel-sail.site URL that you may use to access your application: 1 sail share sail share When sharing your site via the share command, you should configure your application's trusted proxies within the TrustProxies middleware. Otherwise, URL generation helpers such as url and route will be unable to determine the correct HTTP host that should be used during URL generation: 1 /** 2 * The trusted proxies for this application. 3 * 4 * @var array | string | null 5 */ 6 protected $proxies = ' * ' ; /** * The trusted proxies for this application. * * @var array|string|null */ protected $proxies = '*'; If you would like to choose the subdomain for your shared site, you may provide the subdomain option when executing the share command: 1 sail share -- subdomain = my - sail - site sail share --subdomain=my-sail-site The share command is powered by Expose , an open source tunneling service by BeyondCode . Debugging With Xdebug Laravel Sail's Docker configuration includes support for Xdebug , a popular and powerful debugger for PHP. In order to enable Xdebug, you will need to add a few variables to your application's .env file to configure Xdebug . To enable Xdebug you must set the appropriate mode(s) before starting Sail: 1 SAIL_XDEBUG_MODE =develop,debug SAIL_XDEBUG_MODE=develop,debug Linux Host IP Configuration Internally, the XDEBUG_CONFIG environment variable is defined as client_host=host.docker.internal so that Xdebug will be properly configured for Mac and Windows (WSL2). If your local machine is running Linux, you will need to manually define this environment variable. First, you should determine the correct host IP address to add to the environment variable by running the following command. Typically, the <container-name> should be the name of the container that serves your application and often ends with _laravel.test_1 : 1 docker inspect -f {{range.NetworkSettings.Networks}}{{.Gateway}}{{end}} < container-name > docker inspect -f {{range.NetworkSettings.Networks}}{{.Gateway}}{{end}} <container-name> Once you have obtained the correct host IP address, you should define the SAIL_XDEBUG_CONFIG variable within your application's .env file: 1 SAIL_XDEBUG_CONFIG = " client_host=<host-ip-address> " SAIL_XDEBUG_CONFIG="client_host=<host-ip-address>" Xdebug CLI Usage A sail debug command may be used to start a debugging session when running an Artisan command: 1 # Run an Artisan command without Xdebug... 2 sail artisan migrate 3 4 # Run an Artisan command with Xdebug... 5 sail debug migrate # Run an Artisan command without Xdebug... sail artisan migrate # Run an Artisan command with Xdebug... sail debug migrate Xdebug Browser Usage To debug your application while interacting with the application via a web browser, follow the instructions provided by Xdebug for initiating an Xdebug session from the web browser. If you're using PhpStorm, please review JetBrain's documentation regarding zero-configuration debugging . Laravel Sail relies on artisan serve to serve your application. The artisan serve command only accepts the XDEBUG_CONFIG and XDEBUG_MODE variables as of Laravel version 8.53.0. Older versions of Laravel (8.52.0 and below) do not support these variables and will not accept debug connections. Customization Since Sail is just Docker, you are free to customize nearly everything about it. To publish Sail's own Dockerfiles, you may execute the sail:publish command: 1 sail artisan sail:publish sail artisan sail:publish After running this command, the Dockerfiles and other configuration files used by Laravel Sail will be placed within a docker directory in your application's root directory. After customizing your Sail installation, you may wish to change the image name for the application container in your application's docker-compose.yml file. After doing so, rebuild your application's containers using the build command. Assigning a unique name to the application image is particularly important if you are using Sail to develop multiple Laravel applications on a single machine: 1 sail build --no-cache sail build --no-cache Copy as markdown On this page Introduction Installation & Setup Installing Sail Into Existing Applications Configuring A Bash Alias Starting & Stopping Sail Executing Commands Executing PHP Commands Executing Composer Commands Executing Artisan Commands Executing Node / NPM Commands Interacting With Databases MySQL Redis MeiliSearch File Storage Running Tests Laravel Dusk Previewing Emails Container CLI PHP Versions Node Versions Sharing Your Site Debugging With Xdebug Xdebug CLI Usage Xdebug Browser Usage Customization Server management made simple for any PHP app Learn more The fastest way to deploy and scale Laravel apps Learn more First-class monitoring and deep insights for Laravel apps Learn more Supercharge your AI development with essential context Learn more Laravel is the most productive way to build, deploy, and monitor software. © 2026 Laravel Legal Status Products Cloud Forge Nightwatch Vapor Nova Packages Cashier Dusk Horizon Octane Scout Pennant Pint Sail Sanctum Socialite Telescope Pulse Reverb Echo Resources Documentation Starter Kits Release Notes Blog News Community Larabelles Learn Jobs Careers Trust Partners Math.random() - 0.5) }, }" class="col-span-6 mb-6 space-y-6 lg:col-span-2 lg:mb-0" > More Partners | 2026-01-13T08:48:16 |
https://stoplight.io/open-source/prism/?ref=apisyouwonthate.com | Prism | Open-Source HTTP Mock and Proxy Server | Stoplight Solutions Stoplight Platform Design, document, and build APIs For Developers Drive results with quality APIs For Program Leaders Keep your API teams on track For Tech Executives Achieve strategic transformation Enterprise Solutions Results tailored to your needs See a Demo Learn how Stoplight can help you Open Source Spectral Prism Elements Resources LEARN Stoplight Docs eBooks Guides Webinars API Design Hub Support EXPLORE Blog Podcast Community Open Source Case Studies YouTube Pricing About About Us Blog Careers Press Contact Us Get Support SOCIAL Login Get Started Prism An open-source HTTP mock and proxy server. Accelerate API development with realistic mock servers, powered by OpenAPI documents. Start Mocking for Free View on GitHub View Docs Quick Iterations Develop in Parallel Dynamic Examples Validation Mocking Callbacks Proxy Prototype your API without writing any code. Prism is an open-source HTTP mock server that can emulate your API's behavior as if you already built it. Mock HTTP servers are generated from your OpenAPI v2/v3 documents. Iterate faster with early feedback. Embrace the power of early feedback by incorporating user input during the design phase of your API, rather than waiting until after the code is written. This proactive approach significantly reduces the cost of change, allowing you to quickly iterate and refine your API based on real-world insights and requirements. Learn More Develop in parallel. Maximize efficiency by enabling frontend and backend teams to work simultaneously. With Prism's mock server, frontend developers can start building against the API without waiting for the backend to be completed. This parallel development approach significantly accelerates API development and streamlines team collaboration. Generate dynamic examples. Static examples in mock APIs can bias the way you write the code and test the API. Prism generates dynamic, random examples based on your API description, ensuring validity and versatility. Learn More Validate input and output. Prism validates both request and response data. If your specification contains an invalid example or your request isn't compliant with your API description, Prism can flag it for you, without yelling, we promise. Learn More Mocking callbacks. Go beyond standard API interactions with Prism. OpenAPI v3.0 allows API designers to define callbacks and construct URLs for payload delivery. Prism supports this functionality, enabling you to integrate callbacks even before the API is built. Learn More Validation proxy. Identify discrepancies between the OpenAPI document and target API to help frontend developers integrating with your API. Enable the proxy in pre-prod environments to ensure that OpenAPI documents and code stay in sync. Learn More Ready to mock your API in minutes? Get Started with Prism Try Stoplight for Free Products Stoplight Solutions Enterprise Sales Open Source Pricing Resources Stoplight Docs Blog Podcast Guides Webinars Help See a Demo Get Support Contact Us Stoplight Community Status Page About About Us Press Case Studies Roadmap Careers © 2024 SmartBear Software. All Rights Reserved. Website Terms of Use Subscription Agreement Privacy Policy Support Policy Security | 2026-01-13T08:48:16 |
https://dev.to/codewithtee/server-side-rendering-ssr-vs-client-side-rendering-csr-3m24#when-to-use-serverside-rendering | Server-Side Rendering (SSR) Vs Client-Side Rendering (CSR) - 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 Tabassum Khanum Posted on Nov 1, 2021 Server-Side Rendering (SSR) Vs Client-Side Rendering (CSR) # beginners # webdev # javascript # codenewbie Hey Coders! We all can agree that new-age Javascript has changed modern websites structure and the user experience drastically. Websites these days are built more like an application pretending to be a website capable of sending emails, notifications, chat, shop, payments, etc. Today's websites are so advanced, interactive, but earlier, the websites and web applications had a common strategy to follow. They prepared HTML content to be sent to the browsers at the server-side; this content was then rendered as HTML with CSS styling in the browser. Traditionally, the browser receives HTML from the server and renders it. When the user navigates to another URL, a full-page refresh is required and the server sends fresh new HTML for the new page. This is called server-side rendering. Fast forward to today. When websites have 1000s of lines of code to render and with much more complex structures. Today, websites are more than just static pages. The downfall of SSR came when the websites were not all about allowing the user to perform actions and receive a response for their action. That is why developers shifted the ever-growing method of rendering web pages on the client-side. But, here are the questions- Is SSR still relevant? If yes, where to use it. the best approach for you? Server-Side Rendering In SSR, when the user makes a request to the webpage, the server prepares the HTML page by fetching the required data from the database and sends to the user's machine over the internet. Then the browser presents all the requested actions on the user UI. All these processes of fetching data from the database to creating an HTML page and sending it to the client are done in mere milliseconds. This method is viable if all your website need is to display images/ texts, links to click, and is more on the static side. In server-side rendered pages, it is common to use snippets of jQuery to add user interactivity to each page. However, when building large apps, just jQuery is insufficient. After all, jQuery is primarily a library for DOM manipulation and it's not a framework; it does not define a clear structure and organization for your app. Client-Side Rendering Developers are approaching CSR as modern-day development is mostly about JS libraries and frameworks. The popularity of modern-age JS shifted all the attention to CSR. Client-side rendering means that a website’s JavaScript is rendered in your browser, rather than on the website’s server. So now, instead of getting all the content from the HTML doc, only the required HTML with the JS files will be rendered. The rendering time for the first upload is a bit slow. However, the next page loads will be very fast as we don't have to wait for every page render. Moreover, there is no need to reload the entire UI after every call to the server. The client-side framework manages to update UI with changed data by re-rendering only that particular DOM element. Also, a clear client-server separation scales better for larger engineering teams, as the client and server code can be developed and released independently. This is especially so at Grab when we have multiple client apps hitting the same API server. For more clear view let's see some benefits and downside of both rendering methods- Benefits of SSR - The initial page of the website load is faster as there are fewer codes to render. Good for minimal and static sites. Search engines can crawl the site for better SEO. Downsides of SSR - the site interactions are less. Slow page rendering. Full UI reloads. Frequent server requests. Benefits of CSR - The app feels more responsive and users do not see the flash between page navigations due to full-page refreshes. Fewer HTTP requests are made to the server, as the same assets do not have to be downloaded again for each page load. Clear separation of the concerns between the client and the server; you can easily build new clients for different platforms (e.g. mobile, chatbots, smartwatches) without having to modify the server code. You can also modify the technology stack on the client and server independently, as long as the API contract is not broken. Downsides of CSR - Heavier initial page load due to loading of the framework, app code, and assets required for multiple pages. There's an additional step to be done on your server which is to configure it to route all requests to a single entry point and allow client-side routing to take over from there. In most cases, requires an external library. All search engines execute JavaScript during crawling, and they may see empty content on your page. This inadvertently hurts the Search Engine Optimization (SEO) of your app. However, most of the time, when you are building apps, SEO is not the most important factor, as not all the content needs to be indexable by search engines. To overcome this, you can either server-side render your app or use services such as Prerender to "render your javascript in a browser, save the static HTML, and return that to the crawlers". When to use server-side rendering An application has a very simple UI with fewer pages/features An application has less dynamic data Read preference of the site is more than write The focus is not on rich sites and has few users When to use client-side rendering An application has a very complex UI with many pages/features An application has large and dynamic data Write preference of the site is more than reading The focus is on rich sites and a huge number of users The rendering method totally depends on the requirements and the UX plan of the client. The final call is yours whether to use SSR or CSR. I hope this article helped you to understand the basic concepts of rendering practice. Thank You for reading till the end! Top comments (8) Subscribe Personal Trusted User Create template Templates let you quickly answer FAQs or store snippets for re-use. Submit Preview Dismiss Collapse Expand neoan neoan neoan Follow Passionate generalist conquering the web one project at a time. Whether authoring libraries for node, JS, PHP, or Rust, I am always on the lookout for better solutions to common problems. Location USA Work Lead Developer & Co-founder at corpscrypt, CTO at REtech Joined Oct 1, 2019 • Nov 2 '21 Dropdown menu Copy link Hide So much to be said here in order to clear up potential misunderstandings for beginners: When deciding which technique to use, the amount of pages is not relevant. If at all, it's the other way around: the more routes your app has, the more likely SSR it the better choice. But let's look at the real why: how important is SEO? If you have an online shop or blog, the answer is probably "very important", as you depend on organic hits. If your app is about user-2-user communication (chats, private communities, etc) then the answer is probably "not so much, as the relevant content is individual. That said, most online shops even with thousands of products usually go for SSR. About history: there wasn't ever a "downfall" of SSR. SPAs simply created a new possibility and this possibly often makes more sense, and often it doesn't. Deciding when to use a fork and when to use a spoon doesn't say anything about whether or not a spoon is better than a fork. In the same way, there isn't any relationship between jQuery and SSR. This must be very confusing to read for the beginner. What OP likely meant was that we didn't have much else historically. But ask yourself why routers are always separate packages in JS frameworks. It's because it's perfectly fine to use Vue or React with SSR. Lastly, we should not forget about the impact technologies like PWA bring to this decision. Fetching and caching sites completely changes pros and cons and considerations to take. There is a huge need for SSR which can be seen when looking at technologies like next, nuxt and co. The truth is that devs tend to prefer CSR for various reasons and therefore are inclined to use it even if it's not the best choice for the task at hand. Like comment: Like comment: 17 likes Like Comment button Reply Collapse Expand Kavya Mekala Kavya Mekala Kavya Mekala Follow Joined Sep 17, 2022 • Sep 17 '22 Dropdown menu Copy link Hide can we use react for server side rendering? Like comment: Like comment: 1 like Like Comment button Reply Collapse Expand Joes Joes Joes Follow Joined Aug 18, 2024 • Sep 13 '24 • Edited on Sep 13 • Edited Dropdown menu Copy link Hide Yes you can use React for server-side rendering .. React is typically used for client-side rendering, but it has built-in capabilities for ssr through libraries like next js or ReactDomServe Like comment: Like comment: 1 like Like Comment button Reply Collapse Expand Safin Ghoghabori Safin Ghoghabori Safin Ghoghabori Follow Full-stack dev Location India Education MCA Joined Oct 8, 2019 • Sep 22 '22 Dropdown menu Copy link Hide Yes you can. React supports SSR! Like comment: Like comment: 1 like Like Comment button Reply Collapse Expand Safin Ghoghabori Safin Ghoghabori Safin Ghoghabori Follow Full-stack dev Location India Education MCA Joined Oct 8, 2019 • Sep 22 '22 Dropdown menu Copy link Hide Amazing article. Thanks a lot.... @codewithtee Like comment: Like comment: 1 like Like Comment button Reply Collapse Expand Shirene Kadkhodai Boyd Shirene Kadkhodai Boyd Shirene Kadkhodai Boyd Follow Education Thinkful Bootcamp Joined Feb 14, 2022 • Mar 31 '22 Dropdown menu Copy link Hide This was a very informative article and I feel like I better understand the differences! Thank you Like comment: Like comment: 1 like Like Comment button Reply Collapse Expand programmingprobie programmingprobie programmingprobie Follow Scenario 7 Joined Dec 31, 2021 • Jul 24 '22 • Edited on Jul 24 • Edited Dropdown menu Copy link Hide For Server Side rendering have a look at HTMX (htmx.org) (gives you the feel of an SPA) Like comment: Like comment: 2 likes Like Comment button Reply Collapse Expand Ryan Neil Ryan Neil Ryan Neil Follow Location Hilo, HI Education University of California, Berkeley Work Fullstack Software Engineer Joined Nov 10, 2020 • Nov 2 '21 Dropdown menu Copy link Hide Great read! Thanks! Like comment: Like comment: 1 like Like Comment button Reply 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 Tabassum Khanum Follow I write about web development, my coding journey, art, books, and sometimes lame shits💟 Follow to learn Together !💜 Location India Pronouns She/Her Joined Mar 18, 2021 More from Tabassum Khanum Thrashing - One Byte Explainer # devchallenge # cschallenge # computerscience # beginners WebRTC in Just One Byte # frontendchallenge # devchallenge # javascript # beginners Day 5: Apni Canteen-Food Delivery App Using React Native And Sanity # reactn # javascript # react # beginners 💎 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 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 amigos-maker Posted on Oct 31, 2019 • Edited on May 22, 2020 Python GUI, PyQt vs TKinter # python Both Tkinter and PyQt are useful for designing acceptable GUI’s, but at the same time, they differ in terms of adaptability and functionality. Mostly, Tkinter is all about writing GUI yourself, program your settings or functionality in the same script. On the other hand, in PyQt, you separate GUI in a script, and use your Python knowledge from another script. Instead of creating your own code for the user interface, you can simply adopt the Qt Designer functions to develop your application . Therefore, let’s see what the main differences and advantages of PyQt vs. Tkinter are. PyQt Advantages of using PyQt Coding flexibility – GUI programming with Qt is designed around the concept of signals and slots for establishing communication amongst objects. That permits flexibility when dealing with GUI events and results in a smoother codebase. More than a framework – Qt uses a wide array of native platform APIs for the purpose of networking, database creation, and many more . It offers primary access to them via a unique API. Various UI components – Qt offers several widgets, such as buttons or menus , all designed with a basic appearance across all supported platforms. Various learning resources – because PyQt is one of the most used UI frameworks for Python, you can get easy access to a wide array of documentation. Easy to master – PyQt comes with a user-friendly, straightforward API functionality, along with specific classes linked to Qt C++. This allows the user to use previous knowledge from either Qt or C++, making PyQt easy to understand. Disadvantages of using PyQt Lack of Python-specific documentation for classes in PyQt5 It requires a lot of time for understanding all the details of PyQt, meaning it is a quite steep learning curve Tkinter Advantages of using Tkinter Available out-of-charge for commercial usage. It is featured in the underlying Python library. Creating executables for Tkinter apps is more accessible since Tkinter is included in Python, and, as a consequence, it comes with no other dependencies. Simple to understand and master, as Tkinter is a limited library with a simple API, being the primary choice for creating fast GUIs for Python scripts. Disadvantages of using Tkinter Tkinter does not include advanced widgets. It has no similar tool as Qt Designer for Tkinter. It doesn't have a native look and feel What to choose? Anyhow, in most situations, the best solution is using PyQt, considering the advantages and disadvantages of both PyQt and Tkinter. GUI programming with Qt is created around signals and slots for communication amongst objects. Thus, it allows flexibility, while it gets to the programmer access to a wide array of tools. Tkinter can indeed be useful for those that want to design a fundamental and rapid GUIs for Python scripts, yet for a more advanced programming result , almost all programmers opt for the functionalities that come with PyQt . They admit it is worth mastering the advanced knowledge of PyQt due to the professional programming results that come along. Thus, when it comes to PyQt vs. Tkinter, it all depends on how much you want to learn and discover. Resources: Course: PyQt dekstop apps PyQt hello world Tkinter tutorial Top comments (5) Subscribe Personal Trusted User Create template Templates let you quickly answer FAQs or store snippets for re-use. Submit Preview Dismiss Collapse Expand robin deatherage robin deatherage robin deatherage Follow I am a retired Machine Programmer who's passion is still entrenched heavily into Computer Sciences. Location Texas Education NMU Work Machine Programmer at Namco Joined Nov 14, 2019 • Nov 14 '19 Dropdown menu Copy link Hide Actually it is Tk that is far more advanced than PyQt or Wx. I will explain why. Tk is still ahead of most all GUI Toolkits by as much as fifteen to twenty years as it is one of three of the only GUI Widget Toolkit made from the Original Toolkit Library. And is one of only three GUI Toolkits besides GTK and the NCSA Mosaic Canvas Toolkit that powers both the proprietary underlying HTML rendering Engines used by Netscape Navigator, WebKit, WebView, IE, Edge, Safari, Chrome, Chromium among a few others. The main reason it is so advanced is its ability to pre set JavaScript triggers for after render events with its tags, marks, configs() and its Binding Methods. One of these binding methods is the ability to set hyperlinks while suspending their path data for processing web request from user clicks in both regular and OpenClick() events. Many also are not aware that before 2009 there were still over fifty Web Browsers with Rendering Engines entirely developed using Tk that at that time were still being downloaded. Now Python does lack the 3D OpenGL that comes with Tk 8.6 and lacks the Video Codecs that are also in the Tk version, but they can be PyObject directly tied in and used, but only a handful of us are doing so. Also to Mimic all other GUI Libraries all one has to do is place all widgets and or create your own and ploace them individually inside Frames for each one. The Frames are the secret behind Tkinter and if placed within a Canvas give you full things such as radius buttons, cells for rendering HTML Blocks and or New Widgets. Thanks ! Like comment: Like comment: 8 likes Like Comment button Reply Collapse Expand ErtY'wek ErtY'wek ErtY'wek Follow Joined May 27, 2020 • May 27 '20 Dropdown menu Copy link Hide "The main reason it is so advanced is its ability to pre set JavaScript triggers for after render events with its tags, marks, configs() and its Binding Methods. One of these binding methods is the ability to set hyperlinks while suspending their path data for processing web request from user clicks in both regular and OpenClick() events. " Can you explain to a programming newbie? Like comment: Like comment: 2 likes Like Comment button Reply Collapse Expand Victor Meunier Victor Meunier Victor Meunier Follow Joined Jun 13, 2018 • Oct 31 '19 Dropdown menu Copy link Hide Interesting comparison. I've used Qt in C++ in the past and recently used PyQt5 to make a prototype ( github.com/MrEliptik/shotty ) and I loved it! The lack of python specific documentation can be a bit painful from time to time but hopefully someone on SO faced the same issue. Also, the bindings are really similar to Qt for c++ so usually you can use the C++ docs. You talked about Widgets for PyQt but you could also use QML right? I think it's especially interesting since it enables a lot of customization and can be interesting to make good looking apps such as desktop.telegram.org/ . Like comment: Like comment: 4 likes Like Comment button Reply Collapse Expand amigos-maker amigos-maker amigos-maker Follow Joined Oct 27, 2019 • Oct 31 '19 Dropdown menu Copy link Hide Looks like a cool app you made! Right, you can use QML also Like comment: Like comment: 2 likes Like Comment button Reply Collapse Expand michael michael michael Follow Games and GUI in c++ and python. builds web scrapers with python Email michaelobi54@gmail.com Location Nigeria Work Engineering undergraduate Joined Jul 20, 2020 • Jul 20 '20 Dropdown menu Copy link Hide I think Tkinter is underrated...partly because of the learning curve as you have to code every widget.But when you get a hang of it, it’s really great. Like comment: Like comment: 2 likes Like Comment button Reply 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 amigos-maker Follow Joined Oct 27, 2019 More from amigos-maker Waar kun je Flask voor gebruiken? (Dutch) # python # flask # nederlands # dutch What is Flask used for? # python # flask Wat is Flask? (Dutch) # python # flask 💎 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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https://dev.to/piskun_lab_mcp | Piskun Lab - 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 Piskun Lab 404 bio not found Location Sweden Joined Joined on Dec 15, 2025 Personal website https://apify.com/piskunlab/notion-mcp-server github website More info about @piskun_lab_mcp Badges Writing Debut Awarded for writing and sharing your first DEV post! Continue sharing your work to earn the 4 Week Writing Streak Badge. Got it Close Post 1 post published Comment 0 comments written Tag 0 tags followed Pin Pinned How I Connected Claude Desktop to Notion using MCP (Open Source & Cloud-Hosted) Piskun Lab Piskun Lab Piskun Lab Follow Dec 15 '25 How I Connected Claude Desktop to Notion using MCP (Open Source & Cloud-Hosted) # programming # mcp # ai # tutorial 2 reactions Comments Add Comment 2 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. 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 | 2026-01-13T08:48:16 |
https://dev.to/qa-leaders/testability-vs-automatability-why-most-automation-efforts-fail-before-they-begin-3f6o | Testability vs. Automatability: Why Most Automation Efforts Fail Before They Begin - 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 tanvi Mittal for AI and QA Leaders Posted on Dec 18, 2025 Testability vs. Automatability: Why Most Automation Efforts Fail Before They Begin # webdev # ai # programming # testing Test automation rarely fails because teams chose the wrong tool. It fails much earlier often before the first test is written when systems are designed without considering how they will be tested or automated. When automation becomes flaky, slow, or unreliable, the default reaction is predictable: rewrite tests, switch frameworks, add retries, or bring in a new tool promising stability. These actions sometimes reduce pain temporarily, but they rarely address the real issue. Over time, automation becomes something teams tolerate rather than trust. The root cause is usually a misunderstanding of two closely related but fundamentally different concepts: testability and automatability. The Subtle Distinction That Changes Everything Testability and automatability are often used interchangeably in engineering conversations, but they solve different problems. Testability is about how easily a system can be understood and diagnosed. A testable system exposes its state clearly. When something fails, the system helps you understand what happened and why. Logs are meaningful, signals are explicit, and behavior can be observed without guesswork. Automatability, on the other hand, is about how reliably a system can be exercised by a machine. It focuses on determinism, stability, and control. An automatable system behaves consistently under automation, even as it evolves. The mistake teams make is assuming that good automation automatically implies good testability. In practice, automation depends on testability. When testability is weak, automation compensates with complexity — and that complexity eventually collapses under its own weight. Why Automation Becomes the Scapegoat When automated tests fail without clear explanations, automation becomes the visible problem. Pipelines turn red, release confidence drops, and engineers lose trust in test results. At that point, automation is no longer perceived as a safety net, it becomes noise. What often goes unnoticed is that these failures are symptoms, not causes. A test timing out, failing to locate an element, or producing inconsistent results is frequently reflecting deeper uncertainty in the system itself. Automation simply surfaces that uncertainty earlier and more frequently than manual testing ever could. Humans are remarkably good at compensating for ambiguity. We refresh pages, retry actions, infer intent, and move on. Automation has no such intuition. It requires explicit signals, stable behavior, and predictable state transitions. When those are missing, automation struggles and it gets blamed for struggling. Tools Don’t Fix Foundational Problems Modern frameworks have made automation more accessible and forgiving. They handle waits better, provide richer diagnostics, and reduce boilerplate. But they do not and cannot fix fundamental design issues. No tool can compensate for: User interfaces that constantly re-render without stable identifiers Business logic buried inside UI event handlers Asynchronous workflows with no observable completion signals Systems that expose outcomes only visually, not programmatically Switching tools in these situations may reduce friction briefly, but it does not change the underlying uncertainty. Eventually, the same problems reappear, just expressed through a different API. Automation Friction Is a Signal, Not a Failure One of the most important mindset shifts teams can make is to treat automation difficulty as feedback about the system, not as a testing failure. When tests are hard to write, hard to stabilize, or hard to debug, the system is telling you something. It is telling you that behavior is implicit rather than explicit, that state is hidden rather than observable, or that control is scattered rather than intentional. Teams that listen to this feedback improve not just their tests, but their architecture, diagnosability, and operational maturity. Teams that ignore it accumulate automation debt — and eventually abandon large parts of their test suites. Why This Matters Before Automation Scales The cost of misunderstanding testability and automatability grows with scale. Early in a project, poor design choices may only slow down a few tests. Over time, they turn into flaky pipelines, long triage cycles, and brittle release processes. This is why automation strategy cannot be separated from system design. Automation is not a phase that comes later; it is a constraint that should influence how software is built from the beginning. Understanding the difference between testability and automatability is the first step toward making automation an asset rather than a liability. What Comes Next In the next post, we’ll go deeper into a question teams struggle with constantly: How do you tell whether a failing test indicates a problem in your automation or a problem in your application design? That distinction is where most automation efforts either stabilize or slowly unravel. Follow the series if you’re interested in building automation that scales with confidence rather than friction. 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 . 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Follow us More from AI and QA Leaders Testability vs. Automatability: Why Most Automation Efforts Fail Before They Begin — Part3 # automation # testing # softwaretesting # webdev AI-Powered Cypress Test Generation from Natural Language v2.0 — Now with cy.prompt() Self-Healing # openai # ai # softwaretesting # cypress AI-Powered Cypress Test Automation: Automated Test Creation and Execution with Machine Learning # softwaretesting # ai # langchain # llm 💎 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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https://dev.to/t/kernel/page/3 | Kernel Page 3 - 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 # kernel Follow Hide Create Post Older #kernel posts 1 2 3 4 5 6 Posts Left menu 👋 Sign in for the ability to sort posts by relevant , latest , or top . Right menu Kernel Thrashing in Linux: A Hidden Performance Killer in Large-Scale Distributed Applications Aditya Pratap Bhuyan Aditya Pratap Bhuyan Aditya Pratap Bhuyan Follow Jun 17 '25 Kernel Thrashing in Linux: A Hidden Performance Killer in Large-Scale Distributed Applications # linux # kernel 2 reactions Comments 1 comment 6 min read Tool for observing and decoding kernel driver <-> device traffic? Alvinus Alvinus Alvinus Follow Apr 21 '25 Tool for observing and decoding kernel driver <-> device traffic? # kernel Comments Add Comment 1 min read A kernel with interpreted processes lolo859 lolo859 lolo859 Follow Apr 4 '25 A kernel with interpreted processes # kernel # opensource # programming 2 reactions Comments Add Comment 5 min read How to Change / Update the Kernel in Linux (systemd-boot) baby Kb Bohara Kb Bohara Kb Bohara Follow Feb 17 '25 How to Change / Update the Kernel in Linux (systemd-boot) baby # linux # kernel # systemd # boot Comments Add Comment 2 min read Linux Kernel Explained: Everything You Need to Know Darshan Rathod Darshan Rathod Darshan Rathod Follow Mar 19 '25 Linux Kernel Explained: Everything You Need to Know # beginners # linux # kernel 1 reaction Comments Add Comment 3 min read What is eBPF? And how Cilium makes use of it? Mageshwaran Sekar Mageshwaran Sekar Mageshwaran Sekar Follow Feb 26 '25 What is eBPF? And how Cilium makes use of it? # kernel # ebpf # cilium # opensource Comments Add Comment 4 min read Kernel development update! 2025-01-18 kernuxx kernuxx kernuxx Follow Jan 18 '25 Kernel development update! 2025-01-18 # c # assembly # kernel Comments Add Comment 1 min read Como Criar um Simples Sistema Operacional(só o Kernel) com C++ Marcos Oliveira Marcos Oliveira Marcos Oliveira Follow Feb 14 '25 Como Criar um Simples Sistema Operacional(só o Kernel) com C++ # cpp # kernel # assembly 1 reaction Comments Add Comment 2 min read How to Create a Simple Operating System (Kernel Only) with C++ Marcos Oliveira Marcos Oliveira Marcos Oliveira Follow Feb 14 '25 How to Create a Simple Operating System (Kernel Only) with C++ # cpp # kernel # assembly 2 reactions Comments Add Comment 2 min read Entendendo o GNU/Linux: Um Ecossistema de Liberdade e Inovação Marcos Vilela Marcos Vilela Marcos Vilela Follow Feb 10 '25 Entendendo o GNU/Linux: Um Ecossistema de Liberdade e Inovação # linux # architecture # kernel # braziliandevs 1 reaction Comments Add Comment 2 min read Ditana GNU/Linux: Unmatched Configuration Flexibility and Generic Hardware Detection Stefan Zipproth Stefan Zipproth Stefan Zipproth Follow Jan 7 '25 Ditana GNU/Linux: Unmatched Configuration Flexibility and Generic Hardware Detection # security # kernel # zfs # rakulang 2 reactions Comments 2 comments 6 min read I added networking standards to my custom kernel! kernuxx kernuxx kernuxx Follow Dec 29 '24 I added networking standards to my custom kernel! # c # kernel # assembly # network Comments Add Comment 1 min read I'm building my own kernel! kernuxx kernuxx kernuxx Follow Dec 22 '24 I'm building my own kernel! # programming # kernel # c # assembly 2 reactions Comments 1 comment 1 min read Bash vs. Shell: The Ultimate Comparison Krunal Kanojiya Krunal Kanojiya Krunal Kanojiya Follow Dec 16 '24 Bash vs. Shell: The Ultimate Comparison # bash # shell # linux # kernel 3 reactions Comments 1 comment 3 min read x64 Virtual Address Translation junyaU junyaU junyaU Follow Dec 15 '24 x64 Virtual Address Translation # x64 # memory # kernel 4 reactions Comments Add Comment 3 min read Debian 12: NVIDIA Drivers Installation Anna Anna Anna Follow Dec 1 '24 Debian 12: NVIDIA Drivers Installation # debian # nvidia # linux # kernel 7 reactions Comments 5 comments 33 min read Exploring the Linux Kernel and Switching Kernels on Arch Linux & Snigdha OS in Short! Eshan Roy (eshanized) Eshan Roy (eshanized) Eshan Roy (eshanized) Follow for Snigdha OS Dec 2 '24 Exploring the Linux Kernel and Switching Kernels on Arch Linux & Snigdha OS in Short! # linux # kernel # snigdhaos # cli Comments Add Comment 3 min read All About Linux: A Comprehensive Guide indujawla indujawla indujawla Follow Oct 14 '24 All About Linux: A Comprehensive Guide # linux # linuxkernel # kernel # computerscience Comments Add Comment 6 min read Exploring Applications That Fully Utilize the Linux Kernel for Maximum Efficiency Aditya Pratap Bhuyan Aditya Pratap Bhuyan Aditya Pratap Bhuyan Follow Nov 11 '24 Exploring Applications That Fully Utilize the Linux Kernel for Maximum Efficiency # linux # kernel # efficient Comments Add Comment 7 min read Raspberry Pi 4B: Natively Build a 64 Bit Fully Preemptible Kernel (Real-Time) with Desktop Be Hai Nguyen Be Hai Nguyen Be Hai Nguyen Follow Nov 3 '24 Raspberry Pi 4B: Natively Build a 64 Bit Fully Preemptible Kernel (Real-Time) with Desktop # raspberrypi # preempt # rt # kernel 4 reactions Comments 6 comments 12 min read How to Configure a Network Block Device on a Debian-Based System Muutassim Mukhtar Muutassim Mukhtar Muutassim Mukhtar Follow Oct 17 '24 How to Configure a Network Block Device on a Debian-Based System # linux # storage # kernel # nbd 3 reactions Comments Add Comment 2 min read C++ in Kernel Development: A Comprehensive Guide Trish Trish Trish Follow Sep 29 '24 C++ in Kernel Development: A Comprehensive Guide # c # cpp # programming # kernel 18 reactions Comments Add Comment 3 min read The Importance of Separating Kernels and Userspace in Modern Computing Systems Aditya Pratap Bhuyan Aditya Pratap Bhuyan Aditya Pratap Bhuyan Follow Sep 11 '24 The Importance of Separating Kernels and Userspace in Modern Computing Systems # kernel # userspace 1 reaction Comments Add Comment 3 min read Written by a 16 year old, a book on how computers work Ilyes Ilyes Ilyes Follow Aug 6 '24 Written by a 16 year old, a book on how computers work # computerscience # programming # kernel # linux Comments Add Comment 2 min read Kernel vs Operating System Istiak Islam Istiak Islam Istiak Islam Follow Sep 6 '24 Kernel vs Operating System # os # kernel # opensource 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 — 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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https://gg.forem.com/privacy#4-how-we-disclose-your-information | Privacy Policy - Gamers 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 Gamers Forem Close Privacy Policy Last Updated: September 01, 2023 This Privacy Policy is designed to help you understand how DEV Community Inc. (" DEV ," " we ," or " us ") collects, use, and discloses your personal information. What's With the Defined Terms? You'll notice that some words appear in quotes in this Privacy Policy. They're called "defined terms," and we use them so that we don't have to repeat the same language again and again. They mean the same thing in every instance, to help us make sure that this Privacy Policy is consistent. We've included the defined terms throughout because we want it to be easy for you to read them in context. 1. WHAT DOES THIS PRIVACY POLICY APPLY TO? 2. PERSONAL INFORMATION WE COLLECT 3. HOW WE USE YOUR INFORMATION 4. HOW WE DISCLOSE YOUR INFORMATION 5. YOUR PRIVACY CHOICES AND RIGHTS 6. INTERNATIONAL DATA TRANSFERS 7. RETENTION OF PERSONAL INFORMATION 8. SUPPLEMENTAL DISCLOSURES FOR CALIFORNIA RESIDENTS 9. SUPPLEMENTAL NOTICE FOR NEVADA RESIDENTS 10. CHILDREN'S INFORMATION 11. OTHER PROVISIONS 12. CONTACT US 1. WHAT DOES THIS PRIVACY POLICY APPLY TO? This Privacy Policy applies to personal information processed by us, including on our websites, mobile applications, and other online or offline offerings — basically anything we do. To make this Privacy Policy easier to read, our websites, mobile applications, and other offerings are all collectively called the " Services. " Beyond this Privacy Policy, your use of the Services is subject to our DEV Community Terms and our Forem Terms. The Services include both our own community forum at https://www.dev.to (the " DEV Community ") and the open source tool we provide called " Forem ," available at https://www.forem.com which allows our customers to create and operate their own online forums. We collect personal information from two categories of people: (1) our customers, who use Forem and our hosting services to run and host their own forums (we'll call them " Forem Operators "), and (2) the people who interact with DEV-hosted forums, including forums provided by Forem Operators utilizing Forem and separately our own DEV Community (we'll call them " Users "). An Important Note for Users Since we provide hosting services for Forem Operators, technically we also process your information on their behalf. That processing is governed by the contracts that we have in place with each Forem Operator, not this Privacy Policy. In other words, when you share your data on a DEV-hosted forum operated by a Forem Operator, we at DEV are basically just the "pipes" — we process the data on behalf of the Forem Operator, but don't do anything with it ourselves beyond what we're required to do under our contract (and by law). So, if you post your information on a DEV-powered forum provided by a Forem Operator, that Forem Operator's privacy policy applies, and any questions or requests relating to your data on that service should be directed to that Forem Operator, not us. Likewise, if you use our mobile application, you may also interact with forums that use DEV's open-source tools but do all their hosting and data collection themselves. For those forums, we at DEV have no access to your data, so be sure to read the privacy policy of any third-party hosted forum before posting. 2. PERSONAL INFORMATION WE COLLECT The categories of personal information we collect depend on whether you're a User or Forem Operator, how you interact with us, our Services, and the requirements of applicable law. Breaking it down, we collect three types of information: (1) information that you provide to us directly, (2) information we obtain automatically when you use our Services, and (3) information we get about you from other sources (such as third-party services and organizations). More details are below. A. Information You Provide to Us Directly We may collect the following personal information that you provide to us. Account Creation (for Forem Operators): We'll require your name and email address to get started, as well as some details about the Forem you want to run, such as: whether you're running the Forem on your own behalf or as part of an organization, and details about the community you want to support (how big is it, what topics does it cover, where do members currently communicate, how/if the community earns money, whether the community is open, invite-only or paid, any existing social media accounts, etc.) You'll need to tell us a bit about your personal coding background, and you'll have the option to provide your DEV username as well, if you are a member of the DEV.to community. Account Creation (for Users) : We collect name and email address from users that create an account on DEV Community. For other forums created by Forem Operators using Forem, the Forem Operator determines what information is required for User account creation for their respective forums. Interactive Features (for Users) . Like any other social network, both we and other Users of our Services may collect personal information that you submit or make available through our interactive features (e.g., messaging and chat features, commenting functionalities, forums, blogs, posts, and other social media pages). While we do have private messages that are only between you and the person you're messaging (as well as us and the Forem Operator, as applicable), any information you provide using the public sharing features of the Services, such as the information you post to your public profile or the topics you follow is public, including to recruiters and prospective employers, and is not subject to any of the privacy protections we mention in this Privacy Policy except where legally required. Please exercise caution before revealing any information that may identify you in the real world to others. Purchases . If you buy stuff on our shop site https://shop.dev.to/ (as either a User or Forem Operator), or otherwise if you pay us in connection with your use of the Forem service, we may collect personal information and details associated with your purchases, including payment information. Any payments made via our Services are processed by third-party payment processors, such as Stripe, Shopify, and PayPal. We do not directly collect or store any payment card information entered through our Services, but may receive information associated with your payment card information (e.g., your billing details). Your Communications with Us (Users and Forem Operators) . We may collect personal information, such as email address, phone number, or mailing address when you request information about our Services, register for our newsletter or loyalty program, request customer or technical support, apply for a job, or otherwise communicate with us. Surveys . We may contact you to participate in surveys. If you decide to participate, you may be asked to provide certain information, which may include personal information (for example, your home address). Sweepstakes or Contests . We may collect personal information you provide for any sweepstakes or contests that we offer. In some jurisdictions, we are required to publicly share information of sweepstakes and contest winners. Conferences, Trade Shows, and Other Events . We may collect personal information from individuals when we attend conferences, trade shows, and other events. Business Development and Strategic Partnerships . We may collect personal information from individuals and third parties to assess and pursue potential business opportunities. Job Applications . We may post job openings and opportunities on our Services. If you reply to one of these postings by submitting your application, CV and/or cover letter to us, we will collect and use your information to assess your qualifications. B. Information Collected Automatically We may collect personal information automatically when you use our Services: Automatic Data Collection . We may collect certain information automatically when you use our Services, such as your Internet protocol (IP) address, user settings, MAC address, cookie identifiers, mobile carrier, mobile advertising and other unique identifiers, browser or device information, location information (including approximate location derived from IP address), and Internet service provider. We may also automatically collect information regarding your use of our Services, such as pages that you visit before, during and after using our Services, information about the links you click, the types of content you interact with, the frequency and duration of your activities, and other information about how you use our Services. In addition, we may collect information that other people provide about you when they use our Services, including information about you when they tag you in their posts. Cookies, Pixel Tags/Web Beacons, and Other Technologies . We, as well as third parties that provide content, advertising, or other functionality on our Services, may use cookies, pixel tags, local storage, and other technologies (" Technologies ") to automatically collect information through your use of our Services. Cookies . Cookies are small text files placed in device browsers that store preferences and facilitate and enhance your experience. Pixel Tags/Web Beacons . A pixel tag (also known as a web beacon) is a piece of code embedded in our Services that collects information about engagement on our Services. The use of a pixel tag allows us to record, for example, that a user has visited a particular web page or clicked on a particular advertisement. We may also include web beacons in e-mails to understand whether messages have been opened, acted on, or forwarded. Our uses of these Technologies fall into the following general categories: Operationally Necessary . This includes Technologies that allow you access to our Services, applications, and tools that are required to identify irregular website behavior, prevent fraudulent activity and improve security or that allow you to make use of our functionality. Performance-Related . We may use Technologies to assess the performance of our Services, including as part of our analytic practices to help us understand how individuals use our Services ( see Analytics below ). Functionality-Related . We may use Technologies that allow us to offer you enhanced functionality when accessing or using our Services. This may include identifying you when you sign into our Services or keeping track of your specified preferences, interests, or past items viewed. Analytics . We may use Technologies and other third-party tools to process analytics information on our Services. Some of our analytics partners include Google Analytics. For more information,please visit Google Analytics' Privacy Policy . To learn more about how to opt-out of Google Analytics' use of your information, please click here . Social Media Platforms . Our Services may contain social media buttons such as Twitter, Facebook, GitHub, Instagram, and Twitch (that might include widgets such as the "share this" button or other interactive mini programs). These features may collect your IP address, which page you are visiting on our Services, and may set a cookie to enable the feature to function properly. Your interactions with these platforms are governed by the privacy policy of the company providing it. See the "Your Privacy Choices and Rights" section below to understand your choices regarding these Technologies. C. Information Collected from Other Sources We may obtain information about you from other sources, including through third-party services and organizations. For example, if you access our Services through a third-party application, such as an app store, a third-party login service (e.g., through Twitter, Apple, or GitHub), or a social networking site, we may collect whatever information about you from that third-party application that you have made available via your privacy settings. 3. HOW WE USE YOUR INFORMATION We use your information for a variety of business purposes, including to provide our Services, for administrative purposes, and to market our products and Services, as described below. A. Provide Our Services We use your information to fulfill our contract with you and provide you with our Services, such as: Managing your information and accounts; Providing access to certain areas, functionalities, and features of our Services; Answering requests for customer or technical support; Communicating with you about your account, activities on our Services, and policy changes; Processing your financial information and other payment methods for products or Services purchased; Processing applications if you apply for a job we post on our Services; and Allowing you to register for events. B. Administrative Purposes We use your information for various administrative purposes, such as: Pursuing our legitimate interests such as direct marketing, research and development (including marketing research), network and information security, and fraud prevention; Detecting security incidents, protecting against malicious, deceptive, fraudulent or illegal activity, and prosecuting those responsible for that activity; Measuring interest and engagement in our Services, including for usage-based billing purposes; Short-term, transient use, such as contextual customization of ads; Improving, optimizing, upgrading, or enhancing our Services; Developing new products and Services; Ensuring internal quality control and safety; Authenticating and verifying individual identities, including requests to exercise your rights under this policy; Debugging to identify and repair errors with our Services; Auditing relating to interactions, transactions and other compliance activities; Enforcing our agreements and policies; and Complying with our legal obligations. C. Marketing and Advertising our Products and Services We may use your personal information to tailor and provide you with content and advertisements for our Services, such as via email. If you have any questions about our marketing practices, you may contact us at any time as set forth in the "Contact Us" section below. D. Other Purposes We also use your information for other purposes as requested by you or as permitted by applicable law. Consent . We may use personal information for other purposes that are clearly disclosed to you at the time you provide personal information or with your consent. Automated Decision Making. We may engage in automated decision making, including profiling, such as to suggest topics or other Users for you to follow. DEV's processing of your personal information will not result in a decision based solely on automated processing that significantly affects you unless such a decision is necessary as part of a contract we have with you, we have your consent, or we are permitted by law to engage in such automated decision making. If you have questions about our automated decision making, you may contact us as set forth in the "Contact Us" section below. De-identified and Aggregated Information . We may use personal information and other information about you to create de-identified and/or aggregated information, such as de-identified demographic information, information about the device from which you access our Services, or other analyses we create. For example, we may collect system-wide information to ensure availability of the platform, or measure aggregate data trends to analyze and optimize our Services. Share Content with Friends or Colleagues. Our Services may offer various tools and functionalities. For example, we may allow you to provide information about your friends through our referral services. Our referral services may allow you to forward or share certain content with a friend or colleague, such as an email inviting your friend to use our Services. Please only share with us contact information of people with whom you have a relationship (e.g., relative, friend neighbor, or co-worker). 4. HOW WE DISCLOSE YOUR INFORMATION We disclose your information to third parties for a variety of business purposes, including to provide our Services, to protect us or others, or in the event of a major business transaction such as a merger, sale, or asset transfer, as described below. A. Disclosures to Provide our Services The categories of third parties with whom we may share your information are described below. Service Providers . We may share your personal information with our third-party service providers who use that information to help us provide our Services. This includes service providers that provide us with IT support, hosting, payment processing, customer service, and related services. For example, our Shop site is run by Shopify, who handle your shipping details on our behalf. Business Partners . We may share your personal information with business partners to provide you with a product or service you have requested. We may also share your personal information to business partners with whom we jointly offer products or services. Other Users . As described above in the "Personal Information We Collect" section of this Privacy Policy, our Service allows Users to share their profiles, and any posts, chats, etc. with other Users and with the general public, including to those who do not use our Services. APIs/SDKs . We may use third-party Application Program Interfaces ("APIs") and Software Development Kits ("SDKs") as part of the functionality of our Services. For more information about our use of APIs and SDKs, please contact us as set forth in the "Contact Us" section below. B . Disclosures to Protect Us or Others We may access, preserve, and disclose any information we store associated with you to external parties if we, in good faith, believe doing so is required or appropriate to: comply with law enforcement or national security requests and legal process, such as a court order or subpoena; protect your, our, or others' rights, property, or safety; enforce our policies or contracts; collect amounts owed to us; or assist with an investigation or prosecution of suspected or actual illegal activity. C. Disclosure in the Event of Merger, Sale, or Other Asset Transfers If we are involved in a merger, acquisition, financing due diligence, reorganization, bankruptcy, receivership, purchase or sale of assets, or transition of service to another provider, your information may be sold or transferred as part of such a transaction, as permitted by law and/or contract. 5. YOUR PRIVACY CHOICES AND RIGHTS Your Privacy Choices . The privacy choices you may have about your personal information are determined by applicable law and are described below. Email Communications . If you receive an unwanted email from us, you can use the unsubscribe link found at the bottom of the email to opt out of receiving future emails. Note that you will continue to receive transaction-related emails regarding products or Services you have requested. We may also send you certain non-promotional communications regarding us and our Services, and you will not be able to opt out of those communications (e.g., communications regarding our Services or updates to our Terms or this Privacy Policy). Mobile Devices . We may send you push notifications through our mobile application. You may opt out from receiving these push notifications by changing the settings on your mobile device. "Do Not Track." Do Not Track (" DNT ") is a privacy preference that users can set in certain web browsers. Please note that we do not respond to or honor DNT signals or similar mechanisms transmitted by web browsers. Cookies and Interest-Based Advertising . You may stop or restrict the placement of Technologies on your device or remove them by adjusting your preferences as your browser or device permits. However, if you adjust your preferences, our Services may not work properly. Please note that cookie-based opt-outs are not effective on mobile applications. Please note you must separately opt out in each browser and on each device. Your Privacy Rights . In accordance with applicable law, you may have the right to: Access Personal Information about you, including: (i) confirming whether we are processing your personal information; (ii) obtaining access to or a copy of your personal information; Request Correction of your personal information where it is inaccurate, incomplete or outdated. In some cases, we may provide self-service tools that enable you to update your personal information; Request Deletion, Anonymization or Blocking of your personal information when processing is based on your consent or when processing is unnecessary, excessive or noncompliant; Request Restriction of or Object to our processing of your personal information when processing is noncompliant; Withdraw Your Consent to our processing of your personal information. If you refrain from providing personal information or withdraw your consent to processing, some features of our Service may not be available; Request Data Portability and Receive an Electronic Copy of Personal Information that You Have Provided to Us; Be Informed about third parties with which your personal information has been shared; and Request the Review of Decisions Taken Exclusively Based on Automated Processing if such decisions could affect your data subject rights. If you would like to exercise any of these rights, please contact us as set forth in "Contact Us" below. We will process such requests in accordance with applicable laws. 6. INTERNATIONAL DATA TRANSFERS All information processed by us may be transferred, processed, and stored anywhere in the world, including, but not limited to, the United States or other countries, which may have data protection laws that are different from the laws where you live. We always strive to safeguard your information consistent with the requirements of applicable laws. 7. RETENTION OF PERSONAL INFORMATION We store the personal information we collect as described in this Privacy Policy for as long as you use our Services or as necessary: to fulfill the purpose or purposes for which it was collected, to provide our Services, to resolve disputes, to establish legal defenses, to conduct audits, to pursue legitimate business purposes, to enforce our agreements, and to comply with applicable laws. 8. SUPPLEMENTAL DISCLOSURES FOR CALIFORNIA RESIDENTS Refer-a-Friend and Similar Incentive Programs . As described above in the How We Use Your Personal Information section ("Share Content with Friends or Colleagues" subsection), we may offer referral programs or other incentivized data collection programs. For example, we may offer incentives to you such as discounts or promotional items or credit in connection with these programs, wherein you provide your personal information in exchange for a reward, or provide personal information regarding your friends or colleagues (such as their email address) and receive rewards when they sign up to use our Services. (The referred party may also receive rewards for signing up via your referral.) These programs are entirely voluntary and allow us to grow our business and provide additional benefits to you. The value of your data to us depends on how you ultimately use our Services, whereas the value of the referred party's data to us depends on whether the referred party ultimately becomes a User or Forem Operator and uses our Services. Said value will be reflected in the incentive offered in connection with each program. Accessibility . This Privacy Policy uses industry-standard technologies and was developed in line with the World Wide Web Consortium's Web Content Accessibility Guidelines, version 2.1* . * If you wish to print this policy, please do so from your web browser or by saving the page as a PDF. California Shine the Light . The California "Shine the Light" law permits users who are California residents to request and obtain from us once a year, free of charge, a list of the third parties to whom we have disclosed their personal information (if any) for their direct marketing purposes in the prior calendar year, as well as the type of personal information disclosed to those parties. Right for Minors to Remove Posted Content . Where required by law, California residents under the age of 18 may request to have their posted content or information removed from the publicly-viewable portions of the Services by contacting us directly as set forth in the "Contact Us" section below or by logging into their account and removing the content or information using our self-service tools. 9. SUPPLEMENTAL NOTICE FOR NEVADA RESIDENTS If you are a resident of Nevada, you have the right to opt-out of the sale of certain Personal Information to third parties who intend to license or sell that Personal Information. You can exercise this right by contacting us as set forth in the "Contact Us\" section below with the subject line "Nevada Do Not Sell Request" and providing us with your name and the email address associated with your account. Please note that we do not currently sell your Personal Information as sales are defined in Nevada Revised Statutes Chapter 603A. If you have any questions, please contact us as set forth below. 10. CHILDREN'S INFORMATION The Services are not directed to children under 13 (or other age as required by local law), and we do not knowingly collect personal information from children. If you are a parent or guardian and believe your child has uploaded personal information to our site without your consent, you may contact us as described in the "Contact Us" section below. If we become aware that a child has provided us with personal information in violation of applicable law, we will delete any personal information we have collected, unless we have a legal obligation to keep it, and terminate the child's account if applicable. 11. OTHER PROVISIONS Third-Party Websites or Applications . The Services may contain links to other websites or applications, and other websites or applications may reference or link to our Services. These third-party services are not controlled by us. We encourage our users to read the privacy policies of each website and application with which they interact. We do not endorse, screen or approve, and are not responsible for, the privacy practices or content of such other websites or applications. Providing personal information to third-party websites or applications is at your own risk. Changes to Our Privacy Policy . We may revise this Privacy Policy from time to time in our sole discretion. If there are any material changes to this Privacy Policy, we will notify you as required by applicable law. You understand and agree that you will be deemed to have accepted the updated Privacy Policy if you continue to use our Services after the new Privacy Policy takes effect. 12. CONTACT US If you have any questions about our privacy practices or this Privacy Policy, or to exercise your rights as detailed in this Privacy Policy, please contact us at: support@dev.to . 💎 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 Gamers Forem — An inclusive community for gaming enthusiasts 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 . Gamers Forem © 2025 - 2026. We're a place where gamers unite, level up, and share epic adventures. Log in Create account | 2026-01-13T08:48:16 |
https://dev.to/itsugo/the-first-week-at-a-startup-taught-me-more-than-i-expected-158a#comment-33fbg | The First Week at a Startup Taught Me More Than I Expected - 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 Aryan Choudhary Posted on Jan 9 The First Week at a Startup Taught Me More Than I Expected # startup # beginners # career # learning Since many of you seemed interested in reading more about this, here’s my first-week reflection. My first week at a startup felt less like starting a job and more like stepping into motion that was already happening. There wasn’t a clean boundary around my role. Some days I was coding, some days debugging things I didn’t build, some days thinking through product decisions, other times helping wherever friction appeared. Titles mattered less than momentum. If something needed to move, someone had to move it. I knew this in theory. I wanted this kind of environment. What surprised me was how quickly wearing multiple hats stopped feeling like pressure and started feeling normal. I adapt fast by default. I don’t carry the constant fear that one mistake will end everything. Even when something goes wrong, it rarely means total collapse. In startups especially, people almost always find a way to adjust and recover. That belief makes the workload feel lighter than it looks on paper. At the same time, the instinct to look for better opportunities hasn’t disappeared. It didn’t switch off just because I signed an offer. It’s quieter now, but it’s still there. I don’t see that as disloyalty or restlessness, more like staying aware of my trajectory while committing to the present. What changed most after joining was the internal noise. For months, my mind was stuck in a constant loop of 24x7 applications, interviews, self-image, and preparation. Everything revolved around becoming employable. Now that loop has slowed down. I’m grounded in one place, working on a real set of problems with real constraints. That grounding created space to notice what I had neglected while job hunting. Japanese study had taken a back seat. Fitness became inconsistent. Writing slowed down. Even small creative habits (like voice acting ψ(._. )>) faded because everything was filtered through urgency. Being employed again made it possible to rebalance, but not without trade-offs. Time feels finite in a new way now. Some days that means less coding on personal projects. Some days it means choosing between hobbies. Sometimes it means accepting that momentum can’t be maximized in every direction at once. There are moments when I catch myself thinking I should "get a life", step back or relax more. But I also know this phase is temporary, and I’m grateful to have this many choices in front of me. This feels like a building phase, and I want to respect it without letting it turn into strain. This is just my perspective. People experience startups very differently. Some find them draining. Some thrive. Some leave quickly. I don’t think there’s a single correct way to do this. For me, the lesson from this first week isn’t about grinding harder or protecting myself aggressively. It’s about learning how to stay flexible without being scattered, committed without being trapped, and ambitious without being frantic. I’m still figuring it out. But for now, this feels like the right place to learn how. Top comments (16) Subscribe Personal Trusted User Create template Templates let you quickly answer FAQs or store snippets for re-use. Submit Preview Dismiss Collapse Expand shambhavi525-sudo shambhavi525-sudo shambhavi525-sudo Follow Full-stack builder. Turning critical problems into lean, high-impact tech solutions. Email shalinibhavi525@gmail.com Joined Nov 3, 2025 • Jan 9 Dropdown menu Copy link Hide Love the point about titles mattering less than momentum. In a startup, the 'code' is only half the battle; the rest is just finding where the friction is and greasing the gears. It’s a specific kind of 'building phase' that changes how you think about problem-solving. Don't worry about 'getting a life' just yet—the 0 to 1 phase is where the best stories (and bugs) are made. Great read. Like comment: Like comment: 4 likes Like Comment button Reply Collapse Expand Aryan Choudhary Aryan Choudhary Aryan Choudhary Follow Level up 10x faster Email aryanc1240@gmail.com Location Pune, India Pronouns He/Him Work SDE 1 Joined Nov 5, 2024 • Jan 9 Dropdown menu Copy link Hide Thank you for reading and supporting me through this comment! Really helps keep my spirits up! Like comment: Like comment: 3 likes Like Comment button Reply Collapse Expand Web Developer Hyper Web Developer Hyper Web Developer Hyper Follow "Having fun with IT technology" is my No.1 priority.🥳🎉 Let's enjoy and grow at the same time.🤝 #AI #ClaudeCode #Codex #Cursor #Cline #MCP #React #Nextjs #AWS #WebDev #FullStackDev Location Japan Joined Dec 27, 2024 • Jan 9 Dropdown menu Copy link Hide I’m glad to hear you’re doing well in the first week of your new job. I know you’re super clever and will get used to your new role in no time. Good luck!🫡 Like comment: Like comment: 3 likes Like Comment button Reply Collapse Expand Aryan Choudhary Aryan Choudhary Aryan Choudhary Follow Level up 10x faster Email aryanc1240@gmail.com Location Pune, India Pronouns He/Him Work SDE 1 Joined Nov 5, 2024 • Jan 9 Dropdown menu Copy link Hide Yes thank you! I'll do my best! Like comment: Like comment: 2 likes Like Comment button Reply Collapse Expand SUNNY ANAND SUNNY ANAND SUNNY ANAND Follow Full Stack Systems Engineer building high-performance AI infrastructure. Architect of Nexus Gateway (Open Source AI Cache). Passionate about Go, Distributed Systems, and Scalability. Location India Work Founder @ Nexus Gateway Joined Jan 6, 2026 • Jan 11 Dropdown menu Copy link Hide This resonated a lot. Especially the shift from “being employable” to actually solving real problems — that grounding is underrated. Sounds like you’re navigating the chaos with awareness, which is probably the hardest skill to learn early on. Wishing you a solid learning curve ahead Like comment: Like comment: 2 likes Like Comment button Reply Collapse Expand Aryan Choudhary Aryan Choudhary Aryan Choudhary Follow Level up 10x faster Email aryanc1240@gmail.com Location Pune, India Pronouns He/Him Work SDE 1 Joined Nov 5, 2024 • Jan 12 Dropdown menu Copy link Hide Thank you for reading and the well wishes @sunny_anand_dev !! Like comment: Like comment: 2 likes Like Comment button Reply Collapse Expand Capin Judicael Akpado Capin Judicael Akpado Capin Judicael Akpado Follow 🎯 Web Developer | ✍️ SEO Content Writer | 🚀 Builder of High-Performance Digital Solutions Location Ouidah, Benin Pronouns He Work Freelance Web developer || SEO Content Writer Joined Jun 20, 2025 • Jan 9 Dropdown menu Copy link Hide Thoughtful article ! Like comment: Like comment: 2 likes Like Comment button Reply Collapse Expand Aryan Choudhary Aryan Choudhary Aryan Choudhary Follow Level up 10x faster Email aryanc1240@gmail.com Location Pune, India Pronouns He/Him Work SDE 1 Joined Nov 5, 2024 • Jan 9 Dropdown menu Copy link Hide Thank you for reading! Like comment: Like comment: 2 likes Like Comment button Reply Collapse Expand Ankit Rattan Ankit Rattan Ankit Rattan Follow Coder By Profession, Creator By Mind! Email rattanankit2004@gmail.com Location Remote Education NIT Delhi Work JFL | Ex-Microsoft | Ex-CabEasy Joined Aug 21, 2024 • Jan 10 Dropdown menu Copy link Hide Yeah.. one learn more in the chaos of a startup week than in a quarter at a giant firm because you are defined by your impact, not just your title. Like comment: Like comment: 2 likes Like Comment button Reply Collapse Expand Aryan Choudhary Aryan Choudhary Aryan Choudhary Follow Level up 10x faster Email aryanc1240@gmail.com Location Pune, India Pronouns He/Him Work SDE 1 Joined Nov 5, 2024 • Jan 10 Dropdown menu Copy link Hide Exactly, but the dilemma of which is better for me is still there... Like comment: Like comment: 1 like Like Comment button Reply Collapse Expand Ankit Rattan Ankit Rattan Ankit Rattan Follow Coder By Profession, Creator By Mind! Email rattanankit2004@gmail.com Location Remote Education NIT Delhi Work JFL | Ex-Microsoft | Ex-CabEasy Joined Aug 21, 2024 • Jan 10 Dropdown menu Copy link Hide Hmm, that’s common for all ig :) Like comment: Like comment: 2 likes Like Comment button Reply Collapse Expand jabo Landry jabo Landry jabo Landry Follow Pronouns Developer Prototype Joined Oct 10, 2025 • Jan 9 Dropdown menu Copy link Hide Wow, Congrats on your new experience Like comment: Like comment: 1 like Like Comment button Reply Collapse Expand Aryan Choudhary Aryan Choudhary Aryan Choudhary Follow Level up 10x faster Email aryanc1240@gmail.com Location Pune, India Pronouns He/Him Work SDE 1 Joined Nov 5, 2024 • Jan 9 Dropdown menu Copy link Hide Thanks alot! Like comment: Like comment: 2 likes Like Comment button Reply Collapse Expand leob leob leob Follow Joined Aug 4, 2017 • Jan 9 Dropdown menu Copy link Hide Very thoughtful article, almost philosophical, good way to reflect on things! Like comment: Like comment: 2 likes Like Comment button Reply Collapse Expand Aryan Choudhary Aryan Choudhary Aryan Choudhary Follow Level up 10x faster Email aryanc1240@gmail.com Location Pune, India Pronouns He/Him Work SDE 1 Joined Nov 5, 2024 • Jan 9 Dropdown menu Copy link Hide Thank you for reading! Like comment: Like comment: 2 likes Like Comment button Reply View full discussion (16 comments) Some comments may only be visible to logged-in visitors. Sign in to view all comments. 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 Aryan Choudhary Follow Level up 10x faster Location Pune, India Pronouns He/Him Work SDE 1 Joined Nov 5, 2024 More from Aryan Choudhary I Wanted to Work at a Startup. This Is What the First Glimpse Taught Me # career # startup # learning # beginners What Building Small, Personal Tools Taught Me This Year # productivity # sideprojects # devjournal # learning The 10 Levels of API Development (From Beginner to Production-Ready) # api # beginners # tutorial 💎 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 . 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https://dev.to/t/kernel/page/6 | Kernel Page 6 - 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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https://dev.to/devteam/congrats-to-the-winners-of-the-auth0-for-ai-agents-challenge-2jc8 | Congrats to the Winners of the Auth0 for AI Agents Challenge! - 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 dev.to staff for The DEV Team Posted on Nov 6, 2025 Congrats to the Winners of the Auth0 for AI Agents Challenge! # devchallenge # auth0challenge # security # ai It's that time! We are excited to announce the winners of the Auth0 for AI Agents Challenge : We were thrilled to see how the community leveraged Auth0 to ship AI agents with built-in auth and security. From anti-piracy platforms to medical apps to legal hubs, we were impressed by the various use cases submitted that demonstrated the importance of prioritizing security, user control, and transparency as it relates to authentication and authorization. These submissions showcased that the future of AI agents is not just intelligent, it's secure. We hope you enjoyed working on your submission and are proud of what you accomplished, regardless of whether or not you received the crown. Without further ado, our winners. Congratulations To… ESG Copilot @omkar598 built an autonomous multi-agent AI system that automates ESG compliance for small and medium businesses, showcasing the full power of Auth0's security stack. From $50K Reports to AI Automation: Securing Multi-Agent ESG Compliance with Auth0 omkar ・ Oct 27 #devchallenge #auth0challenge #ai #authentication ESG Copilot implements Auth0 Universal Login for user authentication, Token Vault for securing API keys (Climatiq, SendGrid, Pinecone), and OpenFGA for fine-grained authorization ensuring zero data leakage between companies. Assistant0 @async_dime delivered an secure eneterprise-grade AI assistant that seamlessly manages Gmail, Google Calendar, web search, and document access all secured through Auth0's comprehensive security features. Assistant0 - Secure AI Personal Assistant Adam ・ Oct 27 #devchallenge #auth0challenge #ai #authentication Assistant0 stands out for its sophisticated implementation of Client-Initiated Backchannel Authentication (CIBA) for high-risk operations, requiring explicit user approval before actions like purchases or sending emails, utilization of TokenVault, and FGA with Okta. Study-Flow @prime_299792 took an hybrid authentication approach by integrating Auth0 Token Vault into an existing study management platform while maintaining their original Convex Auth system. Study-Flow: Auth0 for AI Agents: The Missing Piece My Study App Was Begging For Anshu Mandal ・ Oct 27 #devchallenge #auth0challenge #ai #authentication This approach highlights versatility of Auth0 for AI Agents as well as the benefit of utilizing Token Vault over manual token management. Our three winners will each receive $1,000 USD, an exclusive DEV badge, and a DEV++ Membership . All participants with valid submissions will receive a completion badge for rising to the challenge! Our Sponsor A huge thank you to Auth0 for sponsoring this challenge! It's obvious that Auth0 is at the forefront of providing tools to build secure AI Agents and we are grateful the community had an opportunity to build with Auth0's authentication and authorization features. What's next? We always have challenges going on! Follow the tag so you don't miss out: # devchallenge Follow This is the official tag for submissions and announcements related to DEV Challenges. We hope you had fun, felt challenged, and maybe added a thing or two to your professional profile. See you next time! Interested in being a volunteer judge for future challenges? Learn more here ! Top comments (19) Subscribe Personal Trusted User Create template Templates let you quickly answer FAQs or store snippets for re-use. Submit Preview Dismiss Collapse Expand Jess Lee The DEV Team Jess Lee The DEV Team Jess Lee Follow Building DEV and Forem with everyone here. Interested in the future. Email jess@forem.com Location USA / TAIWAN Pronouns she/they Work Co-Founder & COO at Forem Joined Jul 29, 2016 • Nov 6 '25 Dropdown menu Copy link Hide Congrats @omkar598 , @async_dime , and @prime_299792 !! Like comment: Like comment: 4 likes Like Comment button Reply Collapse Expand Adam Adam Adam Follow A curious being Location ~/ Pronouns He/ Him Joined Feb 18, 2019 • Nov 7 '25 Dropdown menu Copy link Hide Thanks @jess ✌ Honored to be one of the winner of this hackathon! Big thanks to the dev.to team and all participants. Your creativity and talent inspire me to keep shipping. Cheers to everyone! Like comment: Like comment: 2 likes Like Comment button Reply Collapse Expand Anshu Mandal Anshu Mandal Anshu Mandal Follow Location India Joined Aug 30, 2024 • Nov 22 '25 Dropdown menu Copy link Hide Can we connect on discord? My username: @flyingpea Like comment: Like comment: 1 like Like Thread Thread Adam Adam Adam Follow A curious being Location ~/ Pronouns He/ Him Joined Feb 18, 2019 • Nov 24 '25 Dropdown menu Copy link Hide Added! Like comment: Like comment: 2 likes Like Comment button Reply Collapse Expand Anshu Mandal Anshu Mandal Anshu Mandal Follow Location India Joined Aug 30, 2024 • Nov 7 '25 Dropdown menu Copy link Hide Thanks again 😁 for this amazing opportunity, I am so glad to be on dev.to. Like comment: Like comment: 1 like Like Comment button Reply Collapse Expand Anshu Mandal Anshu Mandal Anshu Mandal Follow Location India Joined Aug 30, 2024 • Dec 1 '25 • Edited on Dec 1 • Edited Dropdown menu Copy link Hide @jess I am sorry for asking repeatedly, but why winning prize payment is taking this long? Do we except more delay. Please give us clear response. Like comment: Like comment: Like Comment button Reply Collapse Expand Adam Adam Adam Follow A curious being Location ~/ Pronouns He/ Him Joined Feb 18, 2019 • Dec 1 '25 Dropdown menu Copy link Hide Hi @jess , just chiming in. We still haven't got any update regarding the prize status and would appreciate any update. Like comment: Like comment: 2 likes Like Comment button Reply Collapse Expand Shreya Shreya Shreya Follow Brb listening to BTS Education Computer Science & Engineering @ UC Davis Work Developer Advocate at Auth0 Joined Oct 3, 2020 • Nov 7 '25 Dropdown menu Copy link Hide These projects are awesome, really enjoyed reviewing them! Congratulations to the winners @omkar598 @async_dime @prime_299792 and amazing job to all the participants! Like comment: Like comment: 7 likes Like Comment button Reply Collapse Expand Anshu Mandal Anshu Mandal Anshu Mandal Follow Location India Joined Aug 30, 2024 • Nov 7 '25 Dropdown menu Copy link Hide Thank you so much for testing my project, I hope you like it. Any suggestions for study-flow and where I am currently lacking? Like comment: Like comment: 1 like Like Comment button Reply Collapse Expand omkar omkar omkar Follow Tech Enthusiast Joined Sep 14, 2025 • Nov 7 '25 Dropdown menu Copy link Hide Really grateful for this win. Big thanks to Auth0 and the DEV team for the opportunity. Excited to keep building. Like comment: Like comment: 3 likes Like Comment button Reply Collapse Expand Anshu Mandal Anshu Mandal Anshu Mandal Follow Location India Joined Aug 30, 2024 • Nov 22 '25 Dropdown menu Copy link Hide Can we connect on discord? My username: @flyingpea Like comment: Like comment: 1 like Like Comment button Reply Collapse Expand Hadil Ben Abdallah Hadil Ben Abdallah Hadil Ben Abdallah Follow Software Engineer • Technical Content Writer • LinkedIn Content Creator Email hadilbenabdallah111@gmail.com Location Tunisia Education ENET'COM Pronouns she/her Work Content Writer & Social Media Manager Joined Nov 13, 2023 • Nov 7 '25 Dropdown menu Copy link Hide @omkar598 , @async_dime , and @prime_299792 Congrats, guys! 🎉 Your submissions are impressive. 👏🏻 Keep going. 🔥 Like comment: Like comment: 3 likes Like Comment button Reply Collapse Expand Varshith V Hegde Varshith V Hegde Varshith V Hegde Follow A simple programmer fond of learning Email varshithvh@gmail.com Location Mangalore Education Mangalore Institute of Technology and Engineering Work Software Engineer@KPIT Joined Jun 30, 2022 • Nov 7 '25 Dropdown menu Copy link Hide Congratulations to all the winners 🎉🥳 Like comment: Like comment: 2 likes Like Comment button Reply Collapse Expand Alphonse Kazadi Alphonse Kazadi Alphonse Kazadi Follow Full Stack Developer & ML Enthusiast. I love turning ideas into real-world apps, solving tough problems & exploring new tech. Always pushing boundaries, always eager to collaborate globally! Location Mbujimayi, DRC Education Official University of Mbujimayi Pronouns He/Him Joined Apr 5, 2024 • Nov 7 '25 Dropdown menu Copy link Hide Congrats to winners ! But I don't know why I didn't get a completion badge yet. Like comment: Like comment: 2 likes Like Comment button Reply Collapse Expand Anshu Mandal Anshu Mandal Anshu Mandal Follow Location India Joined Aug 30, 2024 • Nov 7 '25 Dropdown menu Copy link Hide Soon Like comment: Like comment: 2 likes Like Comment button Reply Collapse Expand Alphonse Kazadi Alphonse Kazadi Alphonse Kazadi Follow Full Stack Developer & ML Enthusiast. I love turning ideas into real-world apps, solving tough problems & exploring new tech. Always pushing boundaries, always eager to collaborate globally! Location Mbujimayi, DRC Education Official University of Mbujimayi Pronouns He/Him Joined Apr 5, 2024 • Nov 7 '25 Dropdown menu Copy link Hide Ok Like comment: Like comment: 2 likes Like Comment button Reply Collapse Expand Roshan Sharma Roshan Sharma Roshan Sharma Follow Tech enthusiast learning and building one step at a time. Sharing what I learn, asking what I don’t. Focused on Python, Java, Web Dev, and all things backend. Joined Jun 27, 2025 • Nov 11 '25 Dropdown menu Copy link Hide Congrats to all the winners! Awesome to see so many creative takes on secure AI development. Big shoutout to Auth0 and the DEV team for empowering builders! Like comment: Like comment: 2 likes Like Comment button Reply Collapse Expand Joe Pea Joe Pea Joe Pea Follow Joined Aug 20, 2018 • Nov 18 '25 Dropdown menu Copy link Hide Hey ya'll, images got broken for some reason in this post: dev.to/trusktr/docsifyjs-single-pa... Can you please fix? Like comment: Like comment: 2 likes Like Comment button Reply Collapse Expand Producerflow Producerflow Producerflow Follow For carriers expanding their producer networks, compliance can be a bottleneck. Producerflow eliminates that barrier by automating producer onboarding, license management, and appointment submissions. Location New York, NY Joined Nov 11, 2025 • Nov 11 '25 Dropdown menu Copy link Hide Wow, great article! Interesting! Like comment: Like comment: 2 likes Like Comment button Reply View full discussion (19 comments) Some comments may only be visible to logged-in visitors. Sign in to view all comments. 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 . 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https://dev.to/amigosmaker/python-gui-pyqt-vs-tkinter-5hdd#main-content | Python GUI, PyQt vs TKinter - 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 amigos-maker Posted on Oct 31, 2019 • Edited on May 22, 2020 Python GUI, PyQt vs TKinter # python Both Tkinter and PyQt are useful for designing acceptable GUI’s, but at the same time, they differ in terms of adaptability and functionality. Mostly, Tkinter is all about writing GUI yourself, program your settings or functionality in the same script. On the other hand, in PyQt, you separate GUI in a script, and use your Python knowledge from another script. Instead of creating your own code for the user interface, you can simply adopt the Qt Designer functions to develop your application . Therefore, let’s see what the main differences and advantages of PyQt vs. Tkinter are. PyQt Advantages of using PyQt Coding flexibility – GUI programming with Qt is designed around the concept of signals and slots for establishing communication amongst objects. That permits flexibility when dealing with GUI events and results in a smoother codebase. More than a framework – Qt uses a wide array of native platform APIs for the purpose of networking, database creation, and many more . It offers primary access to them via a unique API. Various UI components – Qt offers several widgets, such as buttons or menus , all designed with a basic appearance across all supported platforms. Various learning resources – because PyQt is one of the most used UI frameworks for Python, you can get easy access to a wide array of documentation. Easy to master – PyQt comes with a user-friendly, straightforward API functionality, along with specific classes linked to Qt C++. This allows the user to use previous knowledge from either Qt or C++, making PyQt easy to understand. Disadvantages of using PyQt Lack of Python-specific documentation for classes in PyQt5 It requires a lot of time for understanding all the details of PyQt, meaning it is a quite steep learning curve Tkinter Advantages of using Tkinter Available out-of-charge for commercial usage. It is featured in the underlying Python library. Creating executables for Tkinter apps is more accessible since Tkinter is included in Python, and, as a consequence, it comes with no other dependencies. Simple to understand and master, as Tkinter is a limited library with a simple API, being the primary choice for creating fast GUIs for Python scripts. Disadvantages of using Tkinter Tkinter does not include advanced widgets. It has no similar tool as Qt Designer for Tkinter. It doesn't have a native look and feel What to choose? Anyhow, in most situations, the best solution is using PyQt, considering the advantages and disadvantages of both PyQt and Tkinter. GUI programming with Qt is created around signals and slots for communication amongst objects. Thus, it allows flexibility, while it gets to the programmer access to a wide array of tools. Tkinter can indeed be useful for those that want to design a fundamental and rapid GUIs for Python scripts, yet for a more advanced programming result , almost all programmers opt for the functionalities that come with PyQt . They admit it is worth mastering the advanced knowledge of PyQt due to the professional programming results that come along. Thus, when it comes to PyQt vs. Tkinter, it all depends on how much you want to learn and discover. Resources: Course: PyQt dekstop apps PyQt hello world Tkinter tutorial Top comments (5) Subscribe Personal Trusted User Create template Templates let you quickly answer FAQs or store snippets for re-use. Submit Preview Dismiss Collapse Expand robin deatherage robin deatherage robin deatherage Follow I am a retired Machine Programmer who's passion is still entrenched heavily into Computer Sciences. Location Texas Education NMU Work Machine Programmer at Namco Joined Nov 14, 2019 • Nov 14 '19 Dropdown menu Copy link Hide Actually it is Tk that is far more advanced than PyQt or Wx. I will explain why. Tk is still ahead of most all GUI Toolkits by as much as fifteen to twenty years as it is one of three of the only GUI Widget Toolkit made from the Original Toolkit Library. And is one of only three GUI Toolkits besides GTK and the NCSA Mosaic Canvas Toolkit that powers both the proprietary underlying HTML rendering Engines used by Netscape Navigator, WebKit, WebView, IE, Edge, Safari, Chrome, Chromium among a few others. The main reason it is so advanced is its ability to pre set JavaScript triggers for after render events with its tags, marks, configs() and its Binding Methods. One of these binding methods is the ability to set hyperlinks while suspending their path data for processing web request from user clicks in both regular and OpenClick() events. Many also are not aware that before 2009 there were still over fifty Web Browsers with Rendering Engines entirely developed using Tk that at that time were still being downloaded. Now Python does lack the 3D OpenGL that comes with Tk 8.6 and lacks the Video Codecs that are also in the Tk version, but they can be PyObject directly tied in and used, but only a handful of us are doing so. Also to Mimic all other GUI Libraries all one has to do is place all widgets and or create your own and ploace them individually inside Frames for each one. The Frames are the secret behind Tkinter and if placed within a Canvas give you full things such as radius buttons, cells for rendering HTML Blocks and or New Widgets. Thanks ! Like comment: Like comment: 8 likes Like Comment button Reply Collapse Expand ErtY'wek ErtY'wek ErtY'wek Follow Joined May 27, 2020 • May 27 '20 Dropdown menu Copy link Hide "The main reason it is so advanced is its ability to pre set JavaScript triggers for after render events with its tags, marks, configs() and its Binding Methods. One of these binding methods is the ability to set hyperlinks while suspending their path data for processing web request from user clicks in both regular and OpenClick() events. " Can you explain to a programming newbie? Like comment: Like comment: 2 likes Like Comment button Reply Collapse Expand Victor Meunier Victor Meunier Victor Meunier Follow Joined Jun 13, 2018 • Oct 31 '19 Dropdown menu Copy link Hide Interesting comparison. I've used Qt in C++ in the past and recently used PyQt5 to make a prototype ( github.com/MrEliptik/shotty ) and I loved it! The lack of python specific documentation can be a bit painful from time to time but hopefully someone on SO faced the same issue. Also, the bindings are really similar to Qt for c++ so usually you can use the C++ docs. You talked about Widgets for PyQt but you could also use QML right? I think it's especially interesting since it enables a lot of customization and can be interesting to make good looking apps such as desktop.telegram.org/ . Like comment: Like comment: 4 likes Like Comment button Reply Collapse Expand amigos-maker amigos-maker amigos-maker Follow Joined Oct 27, 2019 • Oct 31 '19 Dropdown menu Copy link Hide Looks like a cool app you made! Right, you can use QML also Like comment: Like comment: 2 likes Like Comment button Reply Collapse Expand michael michael michael Follow Games and GUI in c++ and python. builds web scrapers with python Email michaelobi54@gmail.com Location Nigeria Work Engineering undergraduate Joined Jul 20, 2020 • Jul 20 '20 Dropdown menu Copy link Hide I think Tkinter is underrated...partly because of the learning curve as you have to code every widget.But when you get a hang of it, it’s really great. Like comment: Like comment: 2 likes Like Comment button Reply 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 amigos-maker Follow Joined Oct 27, 2019 More from amigos-maker Waar kun je Flask voor gebruiken? (Dutch) # python # flask # nederlands # dutch What is Flask used for? # python # flask Wat is Flask? (Dutch) # python # flask 💎 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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https://docs.github.com/en/repositories | Repositories documentation - GitHub Docs Skip to main content GitHub Docs Version: Free, Pro, & Team Search or ask Copilot Search or ask Copilot Select language: current language is English Search or ask Copilot Search or ask Copilot Open menu Open Sidebar Repositories Home Repositories Create & manage repositories About repositories Best practices Quickstart for repositories Repository limits Creating a new repository Access to repositories Create from a template Create a template repo Issues-only repository Duplicating a repository Cloning a repository Troubleshooting cloning errors Renaming a repository Transferring a repository Deleting a repository Restore deleted repository View all repositories Manage repository settings Repository access and collaboration Invite collaborators Remove a collaborator Repository permissions Remove yourself Ownership continuity Customize your repository About READMEs Licensing a repository Display a sponsor button Social media preview Classify with topics About code owners Repository languages About CITATION files Enable features Disabling issues Disable projects Manage GitHub Actions settings Discussions Security & analysis Manage repository settings Repository visibility Teams & people Manage the forking policy Manage pull request reviews Manage default branch name Manage the commit signoff policy Manage the push policy Managing Git LFS objects in archives Email notifications for pushes Configure autolinks Manage auto-closing issues Manage models Branches and merges Manage branches View branches Renaming a branch Change the default branch Delete & restore branches Configure PR merges About merge methods Configure commit merging Configure commit squashing Configure commit rebasing Managing merge queue Manage branch updates Manage auto merge Automatic branch deletion Manage protected branches About protected branches Branch protection rule Manage rulesets About rulesets Create a ruleset Manage a ruleset Available rules Troubleshooting Work with files Managing files Creating new files Add a file Move a file Edit files Renaming a file Delete files How changed files appear Using files Navigating code on GitHub View and understand files Permanent links to files Source code archives Working with non-code files Managing large files Large files Git Large File Storage Install Git LFS Configure Git LFS Collaboration Move a file to Git LFS Remove files Resolve upload failures Release projects About releases Manage releases View releases & tags Searching releases Linking to releases Comparing releases Automated release notes Automate release forms View activity and data View deployment activity About repository graphs Using Pulse View repository traffic View project contributors Analyze changes Connections between repositories Using the activity view Archive a repository Archiving repositories Archive content & data Reference & cite content Backing up a repository Repositories documentation Learn to use and manage the repositories that allow you to store and collaborate on your project's code. Quickstart Overview Start here Cloning a repository When you create a repository on GitHub, it exists as a remote repository. You can clone your repository to create a local copy on your computer and sync between the two locations. Restoring a deleted repository You can restore some deleted repositories to recover their contents. Adding a file to a repository You can upload and commit an existing file to a repository on GitHub or by using the command line. Licensing a repository Public repositories on GitHub are often used to share open source software. For your repository to truly be open source, you'll need to license it so that others are free to use, change, and distribute the software. Popular About protected branches You can protect important branches by setting branch protection rules, which define whether collaborators can delete or force push to the branch and set requirements for any pushes to the branch, such as passing status checks or a linear commit history. 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Deleting a forked repository does not delete the upstream repository. @GitHub Managing a branch protection rule You can create a branch protection rule to enforce certain workflows for one or more branches, such as requiring an approving review or passing status checks for all pull requests merged into the protected branch. @GitHub Setting repository visibility You can choose who can view your repository. @GitHub All Repositories docs Creating and managing repositories About repositories Best practices for repositories Quickstart for repositories Repository limits Creating a new repository Personal repository access and collaboration Creating a repository from a template Creating a template repository Creating an issues-only repository Duplicating a repository Cloning a repository Troubleshooting cloning errors Renaming a repository Transferring a repository Deleting a repository Restoring a deleted repository Viewing all repositories Managing your repository’s settings and features Managing access to your personal repositories • 5 articles Customizing your repository • 8 articles Enabling features for your repository • 5 articles Managing repository settings • 12 articles Configuring branches and merges in your repository Managing branches in your repository • 4 articles Configuring pull request merges • 8 articles Managing protected branches • 2 articles Managing rulesets for a repository • 5 articles Working with files Managing files • 7 articles Using files • 5 articles Managing large files • 8 articles Releasing projects on GitHub About releases Managing releases in a repository Viewing your repository's releases and tags Searching a repository's releases Linking to releases Comparing releases Automatically generated release notes Automation for release forms with query parameters Viewing activity and data for your repository Viewing deployment activity for your repository About repository graphs Using Pulse to view a summary of repository activity Viewing traffic to a repository Viewing a project's contributors Analyzing changes to a repository's content Understanding connections between repositories Using the activity view to see changes to a repository Archiving a GitHub repository Archiving repositories About archiving content and data on GitHub Referencing and citing content Backing up a repository Help and support Did you find what you needed? 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https://dev.to/qa-leaders/testability-vs-automatability-why-most-automation-efforts-fail-before-they-begin-3f6o | Testability vs. Automatability: Why Most Automation Efforts Fail Before They Begin - 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 tanvi Mittal for AI and QA Leaders Posted on Dec 18, 2025 Testability vs. Automatability: Why Most Automation Efforts Fail Before They Begin # webdev # ai # programming # testing Test automation rarely fails because teams chose the wrong tool. It fails much earlier often before the first test is written when systems are designed without considering how they will be tested or automated. When automation becomes flaky, slow, or unreliable, the default reaction is predictable: rewrite tests, switch frameworks, add retries, or bring in a new tool promising stability. These actions sometimes reduce pain temporarily, but they rarely address the real issue. Over time, automation becomes something teams tolerate rather than trust. The root cause is usually a misunderstanding of two closely related but fundamentally different concepts: testability and automatability. The Subtle Distinction That Changes Everything Testability and automatability are often used interchangeably in engineering conversations, but they solve different problems. Testability is about how easily a system can be understood and diagnosed. A testable system exposes its state clearly. When something fails, the system helps you understand what happened and why. Logs are meaningful, signals are explicit, and behavior can be observed without guesswork. Automatability, on the other hand, is about how reliably a system can be exercised by a machine. It focuses on determinism, stability, and control. An automatable system behaves consistently under automation, even as it evolves. The mistake teams make is assuming that good automation automatically implies good testability. In practice, automation depends on testability. When testability is weak, automation compensates with complexity — and that complexity eventually collapses under its own weight. Why Automation Becomes the Scapegoat When automated tests fail without clear explanations, automation becomes the visible problem. Pipelines turn red, release confidence drops, and engineers lose trust in test results. At that point, automation is no longer perceived as a safety net, it becomes noise. What often goes unnoticed is that these failures are symptoms, not causes. A test timing out, failing to locate an element, or producing inconsistent results is frequently reflecting deeper uncertainty in the system itself. Automation simply surfaces that uncertainty earlier and more frequently than manual testing ever could. Humans are remarkably good at compensating for ambiguity. We refresh pages, retry actions, infer intent, and move on. Automation has no such intuition. It requires explicit signals, stable behavior, and predictable state transitions. When those are missing, automation struggles and it gets blamed for struggling. Tools Don’t Fix Foundational Problems Modern frameworks have made automation more accessible and forgiving. They handle waits better, provide richer diagnostics, and reduce boilerplate. But they do not and cannot fix fundamental design issues. No tool can compensate for: User interfaces that constantly re-render without stable identifiers Business logic buried inside UI event handlers Asynchronous workflows with no observable completion signals Systems that expose outcomes only visually, not programmatically Switching tools in these situations may reduce friction briefly, but it does not change the underlying uncertainty. Eventually, the same problems reappear, just expressed through a different API. Automation Friction Is a Signal, Not a Failure One of the most important mindset shifts teams can make is to treat automation difficulty as feedback about the system, not as a testing failure. When tests are hard to write, hard to stabilize, or hard to debug, the system is telling you something. It is telling you that behavior is implicit rather than explicit, that state is hidden rather than observable, or that control is scattered rather than intentional. Teams that listen to this feedback improve not just their tests, but their architecture, diagnosability, and operational maturity. Teams that ignore it accumulate automation debt — and eventually abandon large parts of their test suites. Why This Matters Before Automation Scales The cost of misunderstanding testability and automatability grows with scale. Early in a project, poor design choices may only slow down a few tests. Over time, they turn into flaky pipelines, long triage cycles, and brittle release processes. This is why automation strategy cannot be separated from system design. Automation is not a phase that comes later; it is a constraint that should influence how software is built from the beginning. Understanding the difference between testability and automatability is the first step toward making automation an asset rather than a liability. What Comes Next In the next post, we’ll go deeper into a question teams struggle with constantly: How do you tell whether a failing test indicates a problem in your automation or a problem in your application design? That distinction is where most automation efforts either stabilize or slowly unravel. Follow the series if you’re interested in building automation that scales with confidence rather than friction. 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 . 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Follow us More from AI and QA Leaders Testability vs. Automatability: Why Most Automation Efforts Fail Before They Begin — Part3 # automation # testing # softwaretesting # webdev AI-Powered Cypress Test Generation from Natural Language v2.0 — Now with cy.prompt() Self-Healing # openai # ai # softwaretesting # cypress AI-Powered Cypress Test Automation: Automated Test Creation and Execution with Machine Learning # softwaretesting # ai # langchain # llm 💎 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 Forem Close Follow Organization actions AI and QA Leaders Empowering QA teams through AI and smart testing. A professional QA hub by Dasha Tsion, focused on AI in testing, automation, and QA leadership. Helping QA engineers build smarter, data-driven, and scalable quality processes. Location Remote / Global Joined Joined on Oct 9, 2025 GitHub logo External link icon Support email ciondasha@gmail.com Employees 5 Meet the team Our story AI & QA Leaders was founded by Dasha Tsion, a QA Manager and QA Lead with over a decade of experience in testing and automation. The community’s mission is to bring AI-driven thinking and leadership into modern QA. We share frameworks, insights, and real-world practices that help QA teams improve collaboration, test efficiency, and risk management. Our stack Our stack includes Cypress, Playwright, Testomat.io, Jira, and GitHub Actions for automation and CI/CD. We explore how AI tools and prompt engineering can enhance QA strategy, analysis, and root-cause detection. Post 22 posts published Member 4 members Testability vs. Automatability: Why Most Automation Efforts Fail Before They Begin — Part3 tanvi Mittal tanvi Mittal tanvi Mittal Follow Jan 2 Testability vs. Automatability: Why Most Automation Efforts Fail Before They Begin — Part3 # automation # testing # softwaretesting # webdev 3 reactions Comments Add Comment 4 min read AI-Powered Cypress Test Generation from Natural Language v2.0 — Now with cy.prompt() Self-Healing Let's Automate 🛡️ Let's Automate 🛡️ Let's Automate 🛡️ Follow Dec 27 '25 AI-Powered Cypress Test Generation from Natural Language v2.0 — Now with cy.prompt() Self-Healing # openai # ai # softwaretesting # cypress 1 reaction Comments Add Comment 4 min read AI-Powered Cypress Test Automation: Automated Test Creation and Execution with Machine Learning Let's Automate 🛡️ Let's Automate 🛡️ Let's Automate 🛡️ Follow Dec 26 '25 AI-Powered Cypress Test Automation: Automated Test Creation and Execution with Machine Learning # softwaretesting # ai # langchain # llm 1 reaction Comments Add Comment 8 min read Testability vs. Automatability: Why Most Automation Efforts Fail Before They Begin - Part 2 tanvi Mittal tanvi Mittal tanvi Mittal Follow Dec 24 '25 Testability vs. Automatability: Why Most Automation Efforts Fail Before They Begin - Part 2 # testing # softwareengineering # tutorial # qa 8 reactions Comments 1 comment 4 min read GitHub Copilot Agent Skills: Teaching AI Your Repository Patterns Let's Automate 🛡️ Let's Automate 🛡️ Let's Automate 🛡️ Follow Dec 20 '25 GitHub Copilot Agent Skills: Teaching AI Your Repository Patterns # github # githubcopilot # testing # ai 6 reactions Comments Add Comment 4 min read The Complete Guide to Testing Types: Traditional vs AI Era Let's Automate 🛡️ Let's Automate 🛡️ Let's Automate 🛡️ Follow Dec 18 '25 The Complete Guide to Testing Types: Traditional vs AI Era # testing # ai # qa # automation 8 reactions Comments Add Comment 4 min read Testability vs. Automatability: Why Most Automation Efforts Fail Before They Begin tanvi Mittal tanvi Mittal tanvi Mittal Follow Dec 18 '25 Testability vs. Automatability: Why Most Automation Efforts Fail Before They Begin # webdev # ai # programming # testing 5 reactions Comments Add Comment 3 min read Testing AI Systems: Handling the Test Oracle Problem Let's Automate 🛡️ Let's Automate 🛡️ Let's Automate 🛡️ Follow Dec 17 '25 Testing AI Systems: Handling the Test Oracle Problem # ai # aqe # qa # machinelearning 3 reactions 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 Forem — 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 # memory Follow Hide Create Post Older #memory posts 1 2 3 4 5 6 7 8 9 Posts Left menu 👋 Sign in for the ability to sort posts by relevant , latest , or top . Right menu When Cloud Storage Fails: The DevOps Playbook for EC2 Disk Crises Ajit Kumar Ajit Kumar Ajit Kumar Follow Jan 13 When Cloud Storage Fails: The DevOps Playbook for EC2 Disk Crises # aws # ec2 # memory # devops Comments Add Comment 4 min read 🧟 Task Zombies: Cuando [weak self] no es suficiente Diana Hernández Diana Hernández Diana Hernández Follow Jan 12 🧟 Task Zombies: Cuando [weak self] no es suficiente # swift # ios # memory # swiftui Comments Add Comment 1 min read Beyond RAG: Building Intelligent Memory Systems for AI Agents Matteo Tuzi Matteo Tuzi Matteo Tuzi Follow Jan 8 Beyond RAG: Building Intelligent Memory Systems for AI Agents # ai # rag # memory # productivity Comments Add Comment 6 min read eBPF Tutorial by Example: BPF Arena for Zero-Copy Shared Memory 云微 云微 云微 Follow Jan 6 eBPF Tutorial by Example: BPF Arena for Zero-Copy Shared Memory # ebpf # arena # memory Comments Add Comment 11 min read Debugging Chromium Crashes When Taking Full-Page Screenshots with Playwright Erik Erik Erik Follow for Allscreenshots Jan 6 Debugging Chromium Crashes When Taking Full-Page Screenshots with Playwright # playwright # kotlin # memory # programming 1 reaction Comments Add Comment 3 min read Why Forgetting Is Part of Learning Memory Rush Memory Rush Memory Rush Follow Jan 6 Why Forgetting Is Part of Learning # learning # development # science # memory Comments Add Comment 3 min read SwiftUI Memory Management & Retain Cycle Pitfalls (Production Guide) Sebastien Lato Sebastien Lato Sebastien Lato Follow Jan 5 SwiftUI Memory Management & Retain Cycle Pitfalls (Production Guide) # swiftui # memory # performance # architecture Comments Add Comment 2 min read DP Isn’t Just About Big-O: How Cache Misses Killed My Knapsack Arunabh Gupta Arunabh Gupta Arunabh Gupta Follow Jan 6 DP Isn’t Just About Big-O: How Cache Misses Killed My Knapsack # dsa # dp # memory Comments Add Comment 7 min read How Memory Builds Through Iteration Memory Rush Memory Rush Memory Rush Follow Jan 5 How Memory Builds Through Iteration # memory # learning # science # development Comments Add Comment 3 min read The Day My AI Started Talking to Itself (And the Math Behind Why It Always Happens) Aleksandr Kossarev Aleksandr Kossarev Aleksandr Kossarev Follow Jan 6 The Day My AI Started Talking to Itself (And the Math Behind Why It Always Happens) # ai # memory # recursion # architecture Comments Add Comment 5 min read How Information Becomes Long-Term Memory Memory Rush Memory Rush Memory Rush Follow Jan 5 How Information Becomes Long-Term Memory # psychology # memory # learning # development Comments Add Comment 4 min read How Learning Develops Over Time Memory Rush Memory Rush Memory Rush Follow Jan 5 How Learning Develops Over Time # memory # development # learning # requestforpost Comments Add Comment 2 min read Building AI That Doesn't Lose Its Mind: A Universal Architecture for Stable Memory Systems Aleksandr Kossarev Aleksandr Kossarev Aleksandr Kossarev Follow Jan 6 Building AI That Doesn't Lose Its Mind: A Universal Architecture for Stable Memory Systems # ai # architecture # memory # systemdesign 1 reaction Comments Add Comment 7 min read Rust Slices Lex Nwimue P. Lex Nwimue P. Lex Nwimue P. Follow Dec 23 '25 Rust Slices # rust # programming # memory Comments Add Comment 3 min read What Deep Learning Theory Teaches Us About AI Memory Gregory Dickson Gregory Dickson Gregory Dickson Follow Dec 26 '25 What Deep Learning Theory Teaches Us About AI Memory # ai # memory # agents Comments Add Comment 10 min read How to Create Memory-Efficient Software: A Practical Guide for Developers Farhad Rahimi Klie Farhad Rahimi Klie Farhad Rahimi Klie Follow Jan 9 How to Create Memory-Efficient Software: A Practical Guide for Developers # memory # softwaredevelopment # performance # programming Comments Add Comment 3 min read Pointer Arithmetic: Traversing Memory without an Index Ujjawal Chaudhary Ujjawal Chaudhary Ujjawal Chaudhary Follow Jan 8 Pointer Arithmetic: Traversing Memory without an Index # c # coding # pointers # memory Comments 1 comment 1 min read Android Profiler – Memory, GC, and Leaks That Slowly Kill Performance ViO Tech ViO Tech ViO Tech Follow Dec 17 '25 Android Profiler – Memory, GC, and Leaks That Slowly Kill Performance # android # performance # profiler # memory Comments Add Comment 3 min read Why Your Brain Dumps LeetCode Solutions (And How to Fix It) Alex Hunter Alex Hunter Alex Hunter Follow Dec 26 '25 Why Your Brain Dumps LeetCode Solutions (And How to Fix It) # neuroscience # learningscience # memory # studyhacks Comments Add Comment 6 min read Rust: Ownership/Borrowing and Memory Leak Prevention Eugene Sirota Eugene Sirota Eugene Sirota Follow Jan 5 Rust: Ownership/Borrowing and Memory Leak Prevention # rust # ownerhip # borrowing # memory Comments Add Comment 17 min read How Memory Supports Problem Solving Memory Rush Memory Rush Memory Rush Follow Jan 2 How Memory Supports Problem Solving # development # memory # learning 1 reaction Comments Add Comment 4 min read 🌟introducing orbynt database:OrbMem Abhishek Reddy Abhishek Reddy Abhishek Reddy Follow Dec 6 '25 🌟introducing orbynt database:OrbMem # ai # webdev # database # memory Comments Add Comment 2 min read How Computers Store Data — From Memory to Meaning Cristian Sifuentes Cristian Sifuentes Cristian Sifuentes Follow Jan 2 How Computers Store Data — From Memory to Meaning # computerscience # fundamentals # architecture # memory 2 reactions Comments Add Comment 4 min read What Is Memory and Why You Should Learn How It Works afonso faro afonso faro afonso faro Follow Nov 21 '25 What Is Memory and Why You Should Learn How It Works # csharp # cpp # memory # dll Comments Add Comment 3 min read 𝗩𝗼𝗶𝗰𝗲 𝗔𝗜: 𝗖𝗼𝗻𝘁𝗲𝘅𝘁 & 𝗠𝗲𝗺𝗼𝗿𝘆 - 𝗪𝗵𝘆 𝗖𝗼𝗻𝘃𝗲𝗿𝘀𝗮𝘁𝗶𝗼𝗻𝘀 𝗗𝗼𝗻'𝘁 𝗥𝗲𝘀𝗲𝘁 WanjohiChristopher WanjohiChristopher WanjohiChristopher Follow Dec 21 '25 𝗩𝗼𝗶𝗰𝗲 𝗔𝗜: 𝗖𝗼𝗻𝘁𝗲𝘅𝘁 & 𝗠𝗲𝗺𝗼𝗿𝘆 - 𝗪𝗵𝘆 𝗖𝗼𝗻𝘃𝗲𝗿𝘀𝗮𝘁𝗶𝗼𝗻𝘀 𝗗𝗼𝗻'𝘁 𝗥𝗲𝘀𝗲𝘁 # context # memory # voiceai Comments Add Comment 1 min read loading... trending guides/resources libmalloc, jemalloc, tcmalloc, mimalloc - Exploring Different Memory Allocators How to Detect if Your Linux System is Running Low on Memory and About to Use Swap AI Agent Memory: Manual, Mem0, LangMem, & AWS AgentCore Rust Slices Debugging Chromium Crashes When Taking Full-Page Screenshots with Playwright 𝗩𝗼𝗶𝗰𝗲 𝗔𝗜: 𝗖𝗼𝗻𝘁𝗲𝘅𝘁 & 𝗠𝗲𝗺𝗼𝗿𝘆 - 𝗪𝗵𝘆 𝗖𝗼𝗻𝘃𝗲𝗿𝘀𝗮𝘁𝗶𝗼𝗻𝘀 𝗗𝗼𝗻'𝘁 𝗥𝗲𝘀𝗲𝘁 How Computers Store Data — From Memory to Meaning How Information Becomes Long-Term Memory Why Your Brain Dumps LeetCode Solutions (And How to Fix It) Smart Pointers 🌟introducing orbynt database:OrbMem What Deep Learning Theory Teaches Us About AI Memory How Memory Builds Through Iteration Rust: Ownership/Borrowing and Memory Leak Prevention eBPF Tutorial by Example: BPF Arena for Zero-Copy Shared Memory Building AI That Doesn't Lose Its Mind: A Universal Architecture for Stable Memory Systems Cross-Tool Memory Remote MCP Server for AI Assistants SwiftUI Memory Management & Retain Cycle Pitfalls (Production Guide) How to Create Memory-Efficient Software: A Practical Guide for Developers How Memory Supports Problem Solving 💎 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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