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https://dev.to/t/blockchain/page/3#main-content | Blockchain 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 Blockchain Follow Hide A decentralized, distributed, and oftentimes public, digital ledger consisting of records called blocks that are used to record transactions across many computers so that any involved block cannot be altered retroactively, without the alteration of all subsequent blocks. Create Post Older #blockchain 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 Verifiable Compute for Onchain Prop Trading: How Carrotfunding Uses ROFL Manav Manav Manav Follow Dec 25 '25 Verifiable Compute for Onchain Prop Trading: How Carrotfunding Uses ROFL # web3 # blockchain # privacy # proptrading 2 reactions Comments 2 comments 2 min read The EU AI Act Doesn't Mandate Cryptographic Logs—But You'll Want Them Anyway VeritasChain Standards Organization (VSO) VeritasChain Standards Organization (VSO) VeritasChain Standards Organization (VSO) Follow Dec 25 '25 The EU AI Act Doesn't Mandate Cryptographic Logs—But You'll Want Them Anyway # ai # cryptography # blockchain Comments Add Comment 8 min read x402: Turning HTTP 402 into a Real Payment Primitive Manav Manav Manav Follow Dec 25 '25 x402: Turning HTTP 402 into a Real Payment Primitive # privacy # blockchain # web3 # http 1 reaction Comments 2 comments 3 min read VeritasChain Completes VCP v1.0 Proof of Concept VeritasChain Standards Organization (VSO) VeritasChain Standards Organization (VSO) VeritasChain Standards Organization (VSO) Follow Dec 29 '25 VeritasChain Completes VCP v1.0 Proof of Concept # opensource # blockchain # python # fintech 1 reaction Comments Add Comment 5 min read Why Oasis Is Backing Custody-Native Credit Infrastructure Manav Manav Manav Follow Dec 25 '25 Why Oasis Is Backing Custody-Native Credit Infrastructure # privacy # web3 # blockchain # infrastructure 2 reactions Comments 2 comments 2 min read Ethereum-Solidity Quiz Q4: What is the Ethereum Mempool? 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Apnews Apnews Apnews Follow Dec 24 '25 A 30% Hashrate Drop: Are Bitcoin Miners Really Capitulating? # discuss # analytics # bitcoin # blockchain Comments Add Comment 5 min read Bitcoin Mining Explained for Beginners in 2026 Maverick Bryson Maverick Bryson Maverick Bryson Follow Jan 7 Bitcoin Mining Explained for Beginners in 2026 # bitcoin # blockchain # cryptocurrency # bitcoinmining 2 reactions Comments 1 comment 4 min read Tokenomics' Hidden Flaw: Why Economic Models Need Privacy to Prevent Manipulation sid sid sid Follow Dec 25 '25 Tokenomics' Hidden Flaw: Why Economic Models Need Privacy to Prevent Manipulation # privacy # web3 # blockchain # security 1 reaction Comments 2 comments 5 min read Blockchain Beyond Crypto: Real-World Applications That Matter Ahmed Radwan Ahmed Radwan Ahmed Radwan Follow for Nerd Level Tech Dec 23 '25 Blockchain Beyond Crypto: Real-World Applications That Matter # blockchain # web3 # smartcontract 1 reaction Comments Add Comment 7 min read Clarifying What Runs On-Chain vs Off-Chain Wang Wei Wang Wei Wang Wei Follow Dec 22 '25 Clarifying What Runs On-Chain vs Off-Chain # architecture # blockchain # documentation Comments Add Comment 1 min read Explaining What Happens On-Chain vs Off-Chain Marycynthia Ihemebiwo Marycynthia Ihemebiwo Marycynthia Ihemebiwo Follow Dec 22 '25 Explaining What Happens On-Chain vs Off-Chain # privacy # opensource # blockchain # beginners Comments Add Comment 1 min read The MEV Dark Pool Problem: Why Private Mempools Need Decentralized Verification sid sid sid Follow Dec 25 '25 The MEV Dark Pool Problem: Why Private Mempools Need Decentralized Verification # web3 # blockchain # security # architecture Comments 2 comments 4 min read # `@xchainjs/xchain-litecoin` Fabricio Viskor Fabricio Viskor Fabricio Viskor Follow Dec 19 '25 # `@xchainjs/xchain-litecoin` # web3 # blockchain # webdev # programming Comments Add Comment 3 min read # `@xchainjs/xchain-ethereum` Fabricio Viskor Fabricio Viskor Fabricio Viskor Follow Dec 19 '25 # `@xchainjs/xchain-ethereum` # ethereum # blockchain # web3 # etherjs Comments Add Comment 2 min read # XChainJS Check Transaction Example Fabricio Viskor Fabricio Viskor Fabricio Viskor Follow Dec 19 '25 # XChainJS Check Transaction Example # web3 # blockchain # webdev # solidity Comments Add Comment 2 min read AI Dominates Tech Landscape with Major Advancements and Strategic Shifts Across Leading Companies Stelixx Insights Stelixx Insights Stelixx Insights Follow Dec 20 '25 AI Dominates Tech Landscape with Major Advancements and Strategic Shifts Across Leading Companies # ai # web3 # blockchain # productivity Comments Add Comment 1 min read # XChainJS Liquidity Example (THORChain) Fabricio Viskor Fabricio Viskor Fabricio Viskor Follow Dec 19 '25 # XChainJS Liquidity Example (THORChain) # webdev # web3 # blockchain # solidity Comments Add Comment 2 min read Reflection of Co-Learning Mantle week 2 Bagas Hariyanto Bagas Hariyanto Bagas Hariyanto Follow Dec 21 '25 Reflection of Co-Learning Mantle week 2 # web3 # devjournal # blockchain # beginners Comments Add Comment 2 min read Building a Decentralized Event Ticketing System Web3 with Symfony 7.4 Matt Mochalkin Matt Mochalkin Matt Mochalkin Follow Dec 19 '25 Building a Decentralized Event Ticketing System Web3 with Symfony 7.4 # web3 # symfony # php # blockchain Comments Add Comment 5 min read Moon Math Itinerary: The Lunar Map of ZK Erick Fernandez Erick Fernandez Erick Fernandez Follow for Extropy.IO Dec 19 '25 Moon Math Itinerary: The Lunar Map of ZK # zeroknowledgeproofs # zkp # math # blockchain Comments Add Comment 1 min read The Arbitrage Bot Arms Race: What We Learned Running FlashArb in Production Altug Tatlisu Altug Tatlisu Altug Tatlisu Follow Dec 19 '25 The Arbitrage Bot Arms Race: What We Learned Running FlashArb in Production # blockchain # ethereum # webdev # javascript Comments Add Comment 5 min read Understanding the Constant Product Formula in AMMs (Without Getting Tricked by k) Maria Kalala Maria Kalala Maria Kalala Follow Dec 23 '25 Understanding the Constant Product Formula in AMMs (Without Getting Tricked by k) # blockchain # web3 # smartcontract # defi 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://www.linkedin.com/posts/devcyclehq_why-a-homegrown-feature-flag-system-is-a-activity-7407463020848635905-C4QC | Why a Homegrown Feature Flag System is a Trap | DevCycle Agree & Join LinkedIn By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Skip to main content LinkedIn Top Content People Learning Jobs Games Sign in Join now DevCycle’s Post DevCycle 1,008 followers 3w Report this post ⏱️ Every hour your engineers spend maintaining a homegrown feature flag system 🏗️ Is an hour they’re not building features users actually pay for. DIY flags aren’t free. 🐢 They’re paid for in lost velocity, focus, and morale. https://lnkd.in/eqWXpDfE #FeatureFlags #SoftwareEng #EngManager by Mark Allen Why a Homegrown Feature Flag System is a Trap blog.devcycle.com Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in 1,008 followers View Profile Connect Explore content categories Career Productivity Finance Soft Skills & Emotional Intelligence Project Management Education Technology Leadership Ecommerce User Experience Show more Show less LinkedIn © 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines العربية (Arabic) বাংলা (Bangla) Čeština (Czech) Dansk (Danish) Deutsch (German) Ελληνικά (Greek) English (English) Español (Spanish) فارسی (Persian) Suomi (Finnish) Français (French) हिंदी (Hindi) Magyar (Hungarian) Bahasa Indonesia (Indonesian) Italiano (Italian) עברית (Hebrew) 日本語 (Japanese) 한국어 (Korean) मराठी (Marathi) Bahasa Malaysia (Malay) Nederlands (Dutch) Norsk (Norwegian) ਪੰਜਾਬੀ (Punjabi) Polski (Polish) Português (Portuguese) Română (Romanian) Русский (Russian) Svenska (Swedish) తెలుగు (Telugu) ภาษาไทย (Thai) Tagalog (Tagalog) Türkçe (Turkish) Українська (Ukrainian) Tiếng Việt (Vietnamese) 简体中文 (Chinese (Simplified)) 正體中文 (Chinese (Traditional)) Language Sign in to view more content Create your free account or sign in to continue your search Sign in Welcome back Email or phone Password Show Forgot password? Sign in or By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . New to LinkedIn? Join now or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . | 2026-01-13T08:49:31 |
https://docs.github.com/en/rest | GitHub REST API 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 REST API Home REST API API Version: 2022-11-28 (latest) Quickstart About the REST API About the REST API Comparing GitHub's APIs API Versions Breaking changes OpenAPI description Using the REST API Getting started Rate limits Pagination Libraries Best practices Troubleshooting Timezones CORS and JSONP Issue event types GitHub event types Authentication Authenticating Keeping API credentials secure Endpoints for GitHub App installation tokens Endpoints for GitHub App user tokens Endpoints for fine-grained PATs Permissions for GitHub Apps Permissions for fine-grained PATs Guides Script with JavaScript Script with Ruby Discover resources for a user Delivering deployments Rendering data as graphs Working with comments Building a CI server Get started - Git database Get started - Checks Encrypt secrets Actions Artifacts Cache GitHub-hosted runners OIDC Permissions Secrets Self-hosted runner groups Self-hosted runners Variables Workflow jobs Workflow runs Workflows Activity Events Feeds Notifications Starring Watching Apps GitHub Apps Installations Marketplace OAuth authorizations Webhooks Billing Budgets Billing usage Branches Branches Protected branches Campaigns Security campaigns Checks Check runs Check suites Classroom Classroom Code scanning Code scanning Code security settings Configurations Codes of conduct Codes of conduct Codespaces Codespaces Organizations Organization secrets Machines Repository secrets User secrets Collaborators Collaborators Invitations Commits Commits Commit comments Commit statuses Copilot Copilot metrics Copilot user management Credentials Revocation Dependabot Alerts Repository access Secrets Dependency graph Dependency review Dependency submission Software bill of materials (SBOM) Deploy keys Deploy keys Deployments Deployment branch policies Deployments Environments Protection rules Deployment statuses Emojis Emojis Enterprise teams Enterprise team members Enterprise team organizations Enterprise teams Gists Gists Comments Git database Blobs Commits References Tags Trees Gitignore Gitignore Interactions Organization Repository User Issues Assignees Comments Events Issues Issue dependencies Labels Milestones Sub-issues Timeline Licenses Licenses Markdown Markdown Meta Meta Metrics Community Statistics Traffic Migrations Organizations Source endpoints Users Models Catalog Embeddings Inference Organizations API Insights Artifact metadata Artifact attestations Blocking users Custom properties Issue types Members Network configurations Organization roles Organizations Outside collaborators Personal access tokens Rule suites Rules Security managers Webhooks Packages Packages Pages Pages Private registries Organization configurations Projects Draft Project items Project fields Project items Projects Pull requests Pull requests Review comments Review requests Reviews Rate limit Rate limit Reactions Reactions Releases Releases Release assets Repositories Attestations Autolinks Contents Custom properties Forks Repositories Rule suites Rules Tags Webhooks Search Search Secret scanning Push protection Secret scanning Security advisories Global security advisories Repository security advisories Teams Members Teams Users Attestations Blocking users Emails Followers GPG keys Git SSH keys Social accounts SSH signing keys Users The REST API is now versioned. For more information, see " About API versioning ." GitHub REST API documentation Create integrations, retrieve data, and automate your workflows with the GitHub REST API. Overview Quickstart Start here View all About the REST API Get oriented to the REST API documentation. Getting started with the REST API Learn how to use the GitHub REST API. Authenticating to the REST API You can authenticate to the REST API to access more endpoints and have a higher rate limit. Best practices for using the REST API Follow these best practices when using GitHub's API. Popular Rate limits for the REST API Learn about REST API rate limits, how to avoid exceeding them, and what to do if you do exceed them. Troubleshooting the REST API Learn how to diagnose and resolve common problems for the REST API. Scripting with the REST API and JavaScript Write a script using the Octokit.js SDK to interact with the REST API. Keeping your API credentials secure Follow these best practices to keep your API credentials and tokens secure. Guides Delivering deployments Using the Deployments REST API, you can build custom tooling that interacts with your server and a third-party app. @GitHub Using the REST API to interact with checks You can use the REST API to build GitHub Apps that run powerful checks against code changes in a repository. You can create apps that perform continuous integration, code linting, or code scanning services and provide detailed feedback on commits. @GitHub Using pagination in the REST API Learn how to navigate through paginated responses from the REST API. @GitHub Explore guides All REST API docs About the REST API About the REST API Comparing GitHub's REST API and GraphQL API API Versions Breaking changes About the OpenAPI description for the REST API Using the REST API Getting started with the REST API Rate limits for the REST API Using pagination in the REST API Libraries for the REST API Best practices for using the REST API Troubleshooting the REST API Timezones and the REST API Using CORS and JSONP to make cross-origin requests Issue event types GitHub event types Authenticating to the REST API Authenticating to the REST API Keeping your API credentials secure Endpoints available for GitHub App installation access tokens Endpoints available for GitHub App user access tokens Endpoints available for fine-grained personal access tokens Permissions required for GitHub Apps Permissions required for fine-grained personal access tokens Guides Scripting with the REST API and JavaScript Scripting with the REST API and Ruby Discovering resources for a user Delivering deployments Rendering data as graphs Working with comments Building a CI server Using the REST API to interact with your Git database Using the REST API to interact with checks Encrypting secrets for the REST API REST API endpoints for GitHub Actions REST API endpoints for GitHub Actions artifacts REST API endpoints for GitHub Actions cache GitHub-hosted runners REST API endpoints for GitHub Actions OIDC REST API endpoints for GitHub Actions permissions REST API endpoints for GitHub Actions Secrets REST API endpoints for self-hosted runner groups REST API endpoints for self-hosted runners REST API endpoints for GitHub Actions variables REST API endpoints for workflow jobs REST API endpoints for workflow runs REST API endpoints for workflows REST API endpoints for activity REST API endpoints for events REST API endpoints for feeds REST API endpoints for notifications REST API endpoints for starring REST API endpoints for watching REST API endpoints for apps REST API endpoints for GitHub Apps REST API endpoints for GitHub App installations REST API endpoints for GitHub Marketplace REST API endpoints for OAuth authorizations REST API endpoints for GitHub App webhooks REST API endpoints for billing Budgets Billing usage REST API endpoints for branches and their settings REST API endpoints for branches REST API endpoints for protected branches REST API endpoints for security campaigns REST API endpoints for security campaigns REST API endpoints for checks REST API endpoints for check runs REST API endpoints for check suites REST API endpoints for GitHub Classroom REST API endpoints for GitHub Classroom REST API endpoints for code scanning REST API endpoints for code scanning REST API endpoints for code security settings Configurations REST API endpoints for codes of conduct REST API endpoints for codes of conduct REST API endpoints for Codespaces REST API endpoints for Codespaces REST API endpoints for Codespaces organizations REST API endpoints for Codespaces organization secrets REST API endpoints for Codespaces machines REST API endpoints for Codespaces repository secrets REST API endpoints for Codespaces user secrets REST API endpoints for collaborators REST API endpoints for collaborators REST API endpoints for repository invitations REST API endpoints for commits REST API endpoints for commits REST API endpoints for commit comments REST API endpoints for commit statuses REST API endpoints for Copilot REST API endpoints for Copilot metrics REST API endpoints for Copilot user management Credentials Revocation REST API endpoints for Dependabot REST API endpoints for Dependabot alerts REST API endpoints for Dependabot repository access REST API endpoints for Dependabot secrets REST API endpoints for the dependency graph REST API endpoints for dependency review REST API endpoints for dependency submission REST API endpoints for software bill of materials (SBOM) REST API endpoints for deploy keys REST API endpoints for deploy keys REST API endpoints for deployments REST API endpoints for deployment branch policies REST API endpoints for deployments REST API endpoints for deployment environments REST API endpoints for protection rules REST API endpoints for deployment statuses REST API endpoints for emojis REST API endpoints for emojis Enterprise teams REST API endpoints for enterprise team memberships REST API endpoints for enterprise team organizations REST API endpoints for enterprise teams REST API endpoints for gists and gist comments REST API endpoints for gists REST API endpoints for gist comments REST API endpoints for Git database REST API endpoints for Git blobs REST API endpoints for Git commits REST API endpoints for Git references REST API endpoints for Git tags REST API endpoints for Git trees REST API endpoints for gitignore REST API endpoints for gitignore REST API endpoints for interactions REST API endpoints for organization interactions REST API endpoints for repository interactions REST API endpoints for user interactions REST API endpoints for issues REST API endpoints for issue assignees REST API endpoints for issue comments REST API endpoints for issue events REST API endpoints for issues REST API endpoints for issue dependencies REST API endpoints for labels REST API endpoints for milestones REST API endpoints for sub-issues REST API endpoints for timeline events REST API endpoints for licenses REST API endpoints for licenses REST API endpoints for Markdown REST API endpoints for Markdown REST API endpoints for meta data REST API endpoints for meta data REST API endpoints for metrics REST API endpoints for community metrics REST API endpoints for repository statistics REST API endpoints for repository traffic REST API endpoints for migrations REST API endpoints for organization migrations REST API endpoints for source imports REST API endpoints for user migrations Models REST API endpoints for models catalog REST API endpoints for model embeddings REST API endpoints for models inference REST API endpoints for organizations REST API endpoints for API Insights REST API endpoints for artifact metadata REST API endpoints for artifact attestations REST API endpoints for blocking users REST API endpoints for custom properties REST API endpoints for issue types REST API endpoints for organization members REST API endpoints for network configurations REST API endpoints for organization roles REST API endpoints for organizations REST API endpoints for outside collaborators REST API endpoints for personal access tokens REST API endpoints for rule suites REST API endpoints for rules REST API endpoints for security managers REST API endpoints for organization webhooks REST API endpoints for packages REST API endpoints for packages REST API endpoints for GitHub Pages REST API endpoints for GitHub Pages Private registries Organization configurations Projects REST API endpoints for draft Project items REST API endpoints for Project fields REST API endpoints for Project items REST API endpoints for Projects REST API endpoints for pull requests REST API endpoints for pull requests REST API endpoints for pull request review comments REST API endpoints for review requests REST API endpoints for pull request reviews REST API endpoints for rate limits REST API endpoints for rate limits REST API endpoints for reactions REST API endpoints for reactions REST API endpoints for releases and release assets REST API endpoints for releases REST API endpoints for release assets REST API endpoints for repositories REST API endpoints for repository attestations REST API endpoints for repository autolinks REST API endpoints for repository contents REST API endpoints for custom properties REST API endpoints for forks REST API endpoints for repositories REST API endpoints for rule suites REST API endpoints for rules REST API endpoints for repository tags REST API endpoints for repository webhooks REST API endpoints for search REST API endpoints for search REST API endpoints for secret scanning REST API endpoints for secret scanning push protection REST API endpoints for secret scanning REST API endpoints for security advisories REST API endpoints for global security advisories REST API endpoints for repository security advisories REST API endpoints for teams REST API endpoints for team members REST API endpoints for teams REST API endpoints for users REST API endpoints for artifact attestations REST API endpoints for blocking users REST API endpoints for emails REST API endpoints for followers REST API endpoints for GPG keys REST API endpoints for Git SSH keys REST API endpoints for social accounts REST API endpoints for SSH signing keys REST API endpoints for users Help and 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https://redis.io/insight/ | Redis Insight Skip to: Home Content Footer navigation New from O’Reilly: The memory architecture behind adaptive AI agents Read the report LangCache Products Products Redis Cloud Fully managed and integrated with Google Cloud, Azure, and AWS Redis Software Self-managed software with enterprise-grade compliance and reliability Redis Open Source In-memory database for caching & streaming Redis for AI Faster GenAI apps start here Tools Redis LangCache Redis Insight Redis Data Integration Clients & Connectors Get Redis Downloads Resources Learn Tutorials Quick starts Commands University Knowledge Base Resource Center Blog Demo Center Developer Hub Connect Customer Stories Partners Support Community Events & Webinars Professional Services Latest Releases News & updates Learn how to Build Visit our Developer Hub Docs Pricing Search Login Book a meeting Try Redis LangCache Products Products Redis Cloud Fully managed and integrated with Google Cloud, Azure, and AWS Redis Software Self-managed software with enterprise-grade compliance and reliability Redis Open Source In-memory database for caching & streaming Redis for AI Faster GenAI apps start here Tools Redis LangCache Redis Insight Redis Data Integration Clients & Connectors Get Redis Downloads Resources Learn Tutorials Quick starts Commands University Knowledge Base Resource Center Blog Demo Center Developer Hub Connect Customer Stories Partners Support Community Events & Webinars Professional Services Latest Releases News & updates Learn how to Build Visit our Developer Hub Docs Pricing Try Redis Book a meeting Login Redis Insight Build with the official Redis database tool—for free Build, debug, and visualize in just a few clicks with our free developer tool featuring our AI-powered assistant, advanced CLI, and intuitive GUI. Download it for free Read our docs Redis Insight works across and seamlessly supports all Redis deployments Find, verify, & fix issues faster Browse, filter, and act on your Redis data with full CRUD and batch support for key-value types. Troubleshoot any issues with our slow log inspection, command profiler, database analyzer, and more. Solve your problems with ease Build queries more efficiently & intelligently Make app development easier with syntax highlighting and schema-aware auto-completion. You can even use Redis Copilot to construct search queries in natural language to provide context-aware assistance tailored to your data. Become the Redis dev of tomorrow Make Redis work for you Redis Data Integration (RDI) can connect data from your existing relational databases into Redis. If you’d prefer to work in your IDE, the Redis for VS Code plugin brings our advanced capabilities directly to your Microsoft VS Code environment. Integrate Redis into your workflows Get started quickly Work faster with easy-to-understand, embedded tutorials. Copilot also offers smart suggestions and guidance for building queries, improving performance, and fixing problems based on your dataset. Supercharge your Redis expertise Intuitive CLI Run Redis commands with our built-in Monaco Editor using Workbench—our advanced CLI that offers syntax highlighting, developer shortcuts, and auto-completion. Personal AI assistant Redis Copilot is a chatbot built to answer general Redis questions and a query builder to help you build complex queries based on your dataset. Streams & Pub/Sub Display new entries in real-time by visualizing Redis Streams and consumer groups with automatic refreshes. Publish and consume messages faster using a dedicated workspace for Redis Pub/Sub. Database analysis Optimize your databases’ performance, memory usage, and security by checking metrics including data type distribution and memory allocation. Human-readable formats View, validate, and manage your key values with formatters like Pickle, Protobug, and 32-bit vector that make your data human-readable (e.g., Unicode, JSON, MessagePack, HEX, ASCII). Various installation options Choose the way you want to run Redis Insight: whether it’s on the web, desktop, Docker, Kubernetes, or Amazon EC2. Get started Make the most of your data. Try for free—forever Join our community Trust Privacy Terms of use Legal notices English Español Français Deutsch 한국어 Italiano Português Use cases Vector database Feature stores Semantic cache Caching NoSQL database Leaderboards Data deduplication Messaging Authentication token storage Fast data ingest Query caching Redis Query Engine All solutions Industries Financial Services Gaming Healthcare Retail All industries Compare Redis vs. ElastiCache Redis vs. Memcached Redis vs. Memorystore Redis vs. Redis Open Source Company Mission & values Careers News Connect Community Events & Webinars Partners Amazon Web Services Google Cloud Azure All partners Support Professional Services Support English Español Français Deutsch 한국어 Italiano Português Trust Privacy Terms of use Legal notices | 2026-01-13T08:49:31 |
https://dev.to/aaron_rose_0787cc8b4775a0/the-secret-life-of-javascript-identity-3m27#main-content | The Secret Life of JavaScript: Identity - 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 Aaron Rose Posted on Jan 13 The Secret Life of JavaScript: Identity # javascript # coding # programming # software Why this is undefined. A visual guide to the "Left of the Dot" rule Timothy slumped into a chair at the main worktable, dropping his pen onto a piece of code. He looked exhausted. "I don't understand who I am anymore, Margaret," he muttered. Margaret paused her sorting and walked over. "That is a deep philosophical question, Timothy." "It’s not philosophy. It’s this function," he said, tapping the paper. "I wrote a printName function inside my user object. When I run it, it prints 'Timothy'. But when I pass that exact same function to a helper, it forgets who it is. It prints undefined . It’s having an identity crisis." Margaret pulled a rolling chalkboard over to the table. She picked up a piece of chalk. "The function is not having a crisis," she said. "You are simply assuming that Identity ( this ) belongs to the function. It does not." The Rule of the Dot She drew a large function on the board. "In JavaScript, the word this is not a fixed label," Margaret explained. "It is a question. When the code runs, the function looks around and asks: 'Who called me?' " She wrote down Timothy's example, drawing a thick arrow under the code. const user = { name : " Timothy " , speak : function () { console . log ( " My name is " + this . name ); } }; user . speak (); // ^ Look to the left // The object 'user' is calling the function. // Therefore: 'this' is 'user'. Enter fullscreen mode Exit fullscreen mode "Look at the last line," Margaret said, pointing to the dot. "The rule is simple: Look to the Left of the Dot ." "The word user is there," Timothy said. "Exactly. Because you called it through the user, the function answers the question 'Who called me?' with 'The User.'" The Loss of Context "But here is where I failed," Timothy said. He wrote his bug on the board. const myFunction = user . speak ; myFunction (); // ^ Look to the left // There is no dot. There is no object. // Output: "My name is undefined" Enter fullscreen mode Exit fullscreen mode "I didn't change the code inside!" Timothy argued. "It's the same function!" "The code inside didn't change," Margaret agreed. "But the Call Site did." "Look to the left of myFunction() ," she instructed. "Is there a dot? Is there an object?" Timothy looked. "No. It's just the function name." "Precisely," Margaret said. "When there is no dot, the function has no owner. In strict mode—which we always use— this becomes undefined ." "And in the old days?" "In the old days," Margaret shuddered, "it would default to the Global Window. A recipe for disaster." Forcing the Issue (call & bind) "So this is fragile," Timothy realized. "It depends entirely on how I call the function, not where I wrote it." "Correct," Margaret said. "But you can force it." She wrote two final examples on the board. 1. The One-Time Call const stranger = { name : " Margaret " }; // We force 'speak' to use 'stranger' as 'this' right now user . speak . call ( stranger ); // Output: "My name is Margaret" Enter fullscreen mode Exit fullscreen mode "With .call() ," she explained, "you are telling the function: 'I don't care where you are. For this one specific execution, your identity is this object .'" 2. The Permanent Copy "But what if I want to pass the function around?" Timothy asked. "Like to a click handler?" "Then you need a permanent seal," Margaret said. "You need .bind() ." // We create a NEW function that is permanently locked to 'user' const boundFunction = user . speak . bind ( user ); boundFunction (); // Output: "My name is Timothy" (Forever) Enter fullscreen mode Exit fullscreen mode " .bind() does not run the function," she noted. "It returns a new copy of the function that remembers its owner forever. No matter how you call it later, this will always be user ." The Conclusion Timothy looked at the chalkboard. The rules were simple, but strict. Is there a dot? -> this is the object on the left. No dot? -> this is undefined (in strict mode). Did you use .call() or .bind() ? -> this is what you said it was. "I thought this was about where the function lived," Timothy admitted. "That is a common mistake," Margaret said, dusting the chalk from her hands. "In JavaScript, identity is not about who you are. It is about who is holding you at the moment you speak." Aaron Rose is a software engineer and technology writer at tech-reader.blog and the author of Think Like a Genius . 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 Aaron Rose Follow Software engineer and technology writer at tech-reader.blog Location Dallas, TX Joined Aug 24, 2024 More from Aaron Rose The Secret Life of Go: Interfaces # go # coding # programming # software The Secret Life of Go: Testing # go # coding # programming # softwaredevelopment The Secret Life of Python: The Matryoshka Trap # python # coding # programming # softwaredevelopment 💎 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://www.fine.dev/blog/build-scalable-tech-infrastructure-for-startups#think-lean | How to Build a Scalable Tech Infrastructure on a Startup Budget: A Step-by-Step Guide for CTOs Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back How to Build a Scalable Tech Infrastructure on a Startup Budget: A Step-by-Step Guide for CTOs Building a scalable tech infrastructure on a startup budget requires creativity and prioritization. As a CTO, you need to grow infrastructure without exhausting resources. This guide outlines steps to help your tech stack expand with your user base, without financial strain. Table of Contents Start with Open-Source Solutions Use Cloud Services Wisely Modular Architecture Automate Early Think Lean—Build for Your Current Needs Monitoring and Alerts Outsource Non-Critical Components Leverage Community and Startup Programs Scalable Data Management Prepare for Growth with a Flexible Mindset Look for Integrations Ready to Scale with Ease? 1. Start with Open-Source Solutions When budget is tight, opting for open-source software can be a game-changer. Open-source solutions often provide the flexibility you need to get started without the licensing fees associated with proprietary systems. Tools like PostgreSQL for databases, Kubernetes for orchestration, and Apache Kafka for data streaming can all be incredibly effective without incurring high costs. can all be incredibly effective without incurring high costs. The initial learning curve might be steep, but the savings are well worth it. There's also a whole community out there to help you. 2. Use Cloud Services Wisely The allure of cloud services like AWS , Google Cloud , or Azure is real—scalability, reliability, and global availability. However, these services can become expensive if not optimized. Start small by utilizing free tiers and cost calculators. Identify the essential cloud resources you need, and always keep an eye on your billing dashboard. Consider using cloud credits, which are often available for startups through accelerator programs.. 3. Modular Architecture Adopting a modular architecture allows you to build components that can be independently scaled or replaced. By separating services (e.g., microservices or serverless functions), you gain the flexibility to scale certain parts of your infrastructure as needed, instead of the entire system. This approach can help you save on unnecessary costs and avoid a complete overhaul when scaling. 4. Automate Early Automation saves both time and money. Implement CI/CD pipelines to automate testing, deployment, and code integration. This not only reduces manual effort but also helps you ship faster without additional costs. Tools like Jenkins , GitLab CI , or GitHub Actions are great options that won't break the bank, and they help maintain quality control as your team expands. that won't break the bank, and they help maintain quality control as your team expands. They can also work together with Fine, to ensure that you not only have a robust set of tests that constantly run, but any failures are turned into fixes at maximum speed. 5. Think Lean—Build for Your Current Needs Avoid the temptation to over-engineer your infrastructure based on hypothetical future requirements. Focus on building for your current needs, but keep scalability in mind. You want something that’s "scale-ready" without being bloated. An MVP-style infrastructure should focus on the most crucial features that will support immediate growth and customer acquisition. 6. Monitoring and Alerts Establishing a simple monitoring system will help you identify issues before they impact users. Open-source tools like Prometheus and Grafana allow you to keep an eye on system performance and resource usage. on system performance and resource usage. Effective monitoring helps you make informed decisions on scaling—such as when it's truly necessary to increase server capacity. 7. Outsource Non-Critical Components To keep your internal team focused on core competencies, consider outsourcing non-critical functions, like hosting static assets or even customer support. Managed services can help reduce overhead. For example, Firebase can handle authentication and real-time data syncing, allowing your developers to focus on core product features instead of worrying about server maintenance. 8. Leverage Community and Startup Programs Many tech giants offer generous startup programs, including cloud credits, free tools, and discounted software licenses. Amazon Activate , Microsoft for Startups , and Google for Startups are programs that can provide significant cost savings in the early stages. that can provide significant cost savings in the early stages. Engage with tech communities like Stack Overflow and GitHub as well, where you can access free resources and advice. 9. Scalable Data Management Data is at the core of most tech businesses, but managing it can quickly become expensive if not done wisely. Start with cost-effective databases like PostgreSQL or NoSQL options like MongoDB, depending on your needs. As your data needs grow, consider partitioning, archiving older data, and using data warehouses only when it makes sense. 10. Prepare for Growth with a Flexible Mindset Scalability is about more than technology; it's about mindset. Regularly evaluate whether your tech stack is meeting your current needs and where you might face constraints as you grow. Flexibility in choosing tools, hiring, and decision-making will allow you to scale smoothly when your startup hits growth phases. 11. Look for integrations Where platforms offer similar features, integrations with your existing tech stack can often be the deciding factor. The more your platforms can talk to each other and automate tasks, the better for your growth. Fine works with a variety of platforms to build a knowledge graph and complement your natural workflows, making it the premier AI choice for many scaling startups. Ready to Scale with Ease? Consider using Fine to make your infrastructure scalable and efficient. Fine offers advanced AI capabilities that help automate testing, code integration, and debugging, allowing your team to focus on core development without getting bogged down in manual tasks. Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:31 |
https://docs.suprsend.com/docs/js-preferences | Preferences - SuprSend, Notification infrastructure for Product teams Skip to main content SuprSend, Notification infrastructure for Product teams home page Search... ⌘ K Community Trust Center Platform Status Postman Collection Developer Resources Overview Updates and Versioning Versioning and Support Policy SDK Changelog Authentication API Keys and Secrets Service Token Best Practices for Key & Token Management MCP Overview BETA Quickstart Tool List Building with LLMs Security Security SDKs and APIs SDKs SDK Overview SuprSend Backend SDK SuprSend Client SDK Authentication Javascript Integrate Javascript SDK WebPush Preferences Events and User methods InApp Feed Migration guide from v1 Android iOS React Native Flutter React Management API REST API Postman Collection Features Validate Trigger Payload Type Safety Testing Testing the Template Test Mode Monitoring and Logging Logs Data Out Contact Us Get Started SuprSend, Notification infrastructure for Product teams home page Search... ⌘ K Ask AI Contact Us Get Started Get Started Search... Navigation Javascript Preferences Documentation API Reference Management API CLI Reference Developer Resources Changelog Documentation API Reference Management API CLI Reference Developer Resources Changelog Javascript Preferences OpenAI Open in ChatGPT Step-by-Step Guide to add SuprSend notification preference centre in javascript websites like React, Vue, and Next.js. OpenAI Open in ChatGPT Pre-Requisites Integration of JavaScript SDK Configure notification categories on SuprSend dashboard Understanding preference structure This is how a typical preference page will look like: Preference Page contains 2 sections: Category-level preference settings (Sections) Sections Categories Category Channel Overall Channel-level preference Preferences data structure Preferences Types Example Copy Ask AI interface PreferenceData { sections : Section [] | null ; channel_preferences : ChannelPreference [] | null ; } interface ChannelPreference { channel : string ; is_restricted : boolean ; } interface Section { name ?: string | null ; description ?: string | null ; subcategories ?: Category [] | null ; } interface Category { name : string ; category : string ; description ?: string | null ; preference : PreferenceOptions ; is_editable : boolean ; channels ?: CategoryChannel [] | null ; } interface CategoryChannel { channel : string ; preference : PreferenceOptions ; is_editable : boolean ; } enum PreferenceOptions { OPT_IN = "opt_in" , OPT_OUT = "opt_out" , } enum ChannelLevelPreferenceOptions { ALL = "all" , REQUIRED = "required" , } 1.1 Sections This contains the name, description, and subcategories. We have to loop through the sections list and for every section item if there is a name and description present, then show the heading, and if a subcategories list is present, loop through that subcategories list and show all subcategories under that section heading. Subcategories can exist without sections as the section is an optional field. In that case, the section’s name will not be available. For sections where the name is not present, you can directly show its subcategories list without showing Heading for the section in UI. syntax Copy Ask AI interface Section { name ?: string | null ; description ?: string | null ; subcategories ?: Category [] | null ; } Property Description name name of the section description description of the section subcategories data of all sub-categories to be shown inside the section 1.2 Categories (sections -> sub-categories) This is the place where the user sets his category-level preferences. While looping through the subcategories list for every subcategory item, show the name and description in UI. syntax Copy Ask AI interface Category { name : string ; category : string ; description ?: string | null ; preference : PreferenceOptions ; is_editable : boolean ; channels ?: CategoryChannel [] | null ; } Property Description category This key is the id of the category which is used while updating the preference. name name of the category to be shown on the UI description description of the category to be shown on the UI preference This key indicates if the category’s preference switch is on or off. Get OPT_IN when the switch is on and OPT_OUT when the switch is off is_editable Indicates if the preference switch button is disabled or not. If its value is false then the preference setting for that category can’t be edited channels data of all category channels to be shown below the sub-category. Loop through it to show checkboxes under every subcategory item. 1.3 Category channels (sections -> sub-categories -> channels) This contains a list of channels, channel preference status and whether it’s editable or not. While looping through the subcategory list for every subcategory item we have to loop through its channels list and for every channel to show channel level checkbox. syntax Copy Ask AI interface CategoryChannel { channel : string ; preference : PreferenceOptions ; is_editable : boolean ; } Property Description channel name of the channel to be shown on UI. The same key will be used as id of the channel while updating the preference. preference This key indicates if the channel’s preference switch is on or off. Get OPT_IN when the switch is on and OPT_OUT when the switch is off is_editable Indicates if the preference checkbox is disabled or not. If its value is false then the preference setting for that channel can’t be edited 2. Overall channel preferences It’s a list of all channel-level preferences. We have to loop through the list and for each item, show the UI as given in the below image. syntax Copy Ask AI interface ChannelPreference { channel : string ; is_restricted : boolean ; } Property Description channel name of the channel to be shown on UI. The same key will be used as id of the channel while updating the preference. is_restricted This key indicates the restriction level of channel. If restricted, notification will only be sent in the category where this channel is added as mandatory in notification category settings. True means Required radio button is selected. False means All radio button is selected. Integration Get preferences data Use this method to get preferences data and create the preferences UI by following the above sections. This method should be called first before any update preference methods. syntax Copy Ask AI const preferencesResp = await suprSendClient . user . preferences . getPreferences ( args ?: {tenantId? : string , tags? : string | Dictionary , locale? : string }); Argument (optional) Description tenantId Tenant identifier for loading per-tenant preferences tags Filter categories by tags. Used to filter preference categories based on user’s roles, department or teams. (see Tags ) locale Locale code (e.g., es , fr , de , es-AR ) to fetch preference translations in user’s locale. When provided, category names and descriptions will be returned in the specified locale. If a translation is missing for the requested locale, the system automatically falls back in this order: locale-region (e.g., es-AR ) → locale (e.g., es ) → en (English - always available). Returns: Promise<ApiResponse> Update category preference Calling this method will opt-in/opt-out user from that category. When the category is editable and the switch is toggled you can call this method. syntax Copy Ask AI const updatedPreferencesResp = await suprSendClient . user . preferences . updateCategoryPreference ( category : string , preference : PreferenceOptions ); enum PreferenceOptions { OPT_IN = "opt_in" , OPT_OUT = "opt_out" } Returns: Promise<ApiResponse> Update channel preference in category Calling this method will opt-in/opt-out users from that category-level channel. When the category’s channel checkbox is editable and the user clicks on the checkbox you can call this method. syntax Copy Ask AI const updatedPreferencesResp = await suprSendClient . user . preferences . updateChannelPreferenceInCategory ( channel : string , preference : PreferenceOptions , category : string ); enum PreferenceOptions { OPT_IN = "opt_in" , OPT_OUT = "opt_out" } Returns: Promise<ApiResponse> Update overall channel preference This method updated the channel-level preference of the user. syntax Copy Ask AI const updatedPreferencesResp = await suprSendClient . user . preferences . updateOverallChannelPreference ( channel : string , preference : ChannelLevelPreferenceOptions ); enum ChannelLevelPreferenceOptions { ALL = "all" , REQUIRED = "required" } Returns: Promise<ApiResponse> Event listeners All preferences update api’s are optimistic updates. Actual API call will happen in background with 1 second debounce. Since its a background task SDK provides event listeners to get updated preference data based on API call status. Listen to this event listeners and update the UI accordingly. syntax Copy Ask AI suprSendClient . emitter . on ( 'preferences_updated' , ( preferenceDataResp : ApiResponse ) => void ); suprSendClient . emitter . on ( 'preferences_error' , ( errorResponse : ApiResponse ) => void ); Example Usage: For preferences_error event you could show error toast. For preferences_updated event you could update UI with latest data returned in as param in callback function. Example For understanding purpose we have added simple example of preferences implementation in React. You could refer this headless example and design the preferences in your Angular or Vue.js etc. If you want to implement in react please refer @suprsend/react . Example.js Copy Ask AI import { useState , useEffect } from "react" ; import Switch from "react-switch" ; import { SuprSend , ChannelLevelPreferenceOptions , PreferenceOptions , } from "@suprsend/web-sdk" ; // -------------- Category Level Preferences -------------- // const handleCategoryPreferenceChange = async ({ data , subcategory , setPreferenceData , }) => { const resp = await suprSendClient . user . preferences . updateCategoryPreference ( subcategory . category , data ? PreferenceOptions . OPT_IN : PreferenceOptions . OPT_OUT ); if ( resp . status === "error" ) { console . log ( resp . error . message ); } else { setPreferenceData ({ ... resp . body }); } }; const handleChannelPreferenceInCategoryChange = async ({ channel , subcategory , setPreferenceData , }) => { if ( ! channel . is_editable ) return ; const resp = await suprSendClient . user . preferences . updateChannelPreferenceInCategory ( channel . channel , channel . preference === PreferenceOptions . OPT_IN ? PreferenceOptions . OPT_OUT : PreferenceOptions . OPT_IN , subcategory . category ); if ( resp . status === "error" ) { console . log ( resp . error . message ); } else { setPreferenceData ({ ... resp . body }); } }; function NotificationCategoryPreferences ({ preferenceData , setPreferenceData , }) { if ( ! preferenceData . sections ) { return null ; } return preferenceData . sections ?. map (( section , index ) => { return ( < div style = { { marginBottom: 24 } } key = { index } > { section ?. name && ( < div style = { { backgroundColor: "#FAFBFB" , paddingTop: 12 , paddingBottom: 12 , marginBottom: 18 , } } > < p style = { { fontSize: 18 , fontWeight: 500 , color: "#3D3D3D" , } } > { section . name } </ p > < p style = { { color: "#6C727F" } } > { section . description } </ p > </ div > ) } { section ?. subcategories ?. map (( subcategory , index ) => { return ( < div key = { index } style = { { borderBottom: "1px solid #D9D9D9" , paddingBottom: 12 , marginTop: 18 , } } > < div style = { { display: "flex" , justifyContent: "space-between" , alignItems: "center" , } } > < div > < p style = { { fontSize: 16 , fontWeight: 600 , color: "#3D3D3D" , } } > { subcategory . name } </ p > < p style = { { color: "#6C727F" , fontSize: 14 } } > { subcategory . description } </ p > </ div > < Switch disabled = { ! subcategory . is_editable } onChange = { ( data ) => { handleCategoryPreferenceChange ({ data , subcategory , setPreferenceData , }); } } uncheckedIcon = { false } checkedIcon = { false } height = { 20 } width = { 40 } onColor = "#2563EB" checked = { subcategory . preference === PreferenceOptions . OPT_IN } /> </ div > < div style = { { display: "flex" , gap: 10 , marginTop: 12 } } > { subcategory ?. channels . map (( channel , index ) => { return ( < Checkbox key = { index } value = { channel . preference } title = { channel . channel } disabled = { ! channel . is_editable } onClick = { () => { handleChannelPreferenceInCategoryChange ({ channel , subcategory , setPreferenceData , }); } } /> ); }) } </ div > </ div > ); }) } </ div > ); }); } // -------------- Channel Level Preferences -------------- // const handleOverallChannelPreferenceChange = async ({ channel , status , setPreferenceData , }) => { const resp = await suprSendClient . user . preferences . updateOverallChannelPreference ( channel . channel , status ); if ( resp . status === "error" ) { console . log ( resp . error . message ); } else { setPreferenceData ({ ... resp . body }); } }; function ChannelLevelPreferernceItem ({ channel , setPreferenceData }) { const [ isActive , setIsActive ] = useState ( false ); return ( < div style = { { border: "1px solid #D9D9D9" , borderRadius: 5 , padding: "12px 24px" , marginBottom: 24 , } } > < div style = { { cursor: "pointer" , } } onClick = { () => setIsActive ( ! isActive ) } > < p style = { { fontSize: 18 , fontWeight: 500 , color: "#3D3D3D" , } } > { channel . channel } </ p > < p style = { { color: "#6C727F" , fontSize: 14 } } > { channel . is_restricted ? "Allow required notifications only" : "Allow all notifications" } </ p > </ div > { isActive && ( < div style = { { marginTop: 12 , marginLeft: 24 } } > < p style = { { color: "#3D3D3D" , fontSize: 16 , fontWeight: 500 , marginTop: 12 , borderBottom: "1px solid #E8E8E8" , } } > { channel . channel } Preferences </ p > < div style = { { marginTop: 12 } } > < div style = { { marginBottom: 8 } } > < div style = { { display: "flex" , alignItems: "center" , } } > < div > < input type = "radio" name = { `all- ${ channel . channel } ` } value = { true } id = { `all- ${ channel . channel } ` } checked = { ! channel . is_restricted } onChange = { () => { handleOverallChannelPreferenceChange ({ channel , status: ChannelLevelPreferenceOptions . ALL , setPreferenceData , }); } } /> </ div > < label htmlFor = { `all- ${ channel . channel } ` } style = { { marginLeft: 12 } } > All </ label > </ div > < p style = { { color: "#6C727F" , fontSize: 14 , marginLeft: 22 } } > Allow All Notifications, except the ones that I have turned off </ p > </ div > < div > < div style = { { display: "flex" , alignItems: "center" } } > < div > < input type = "radio" name = { `required- ${ channel . channel } ` } value = { true } id = { `required- ${ channel . channel } ` } checked = { channel . is_restricted } onChange = { () => { handleOverallChannelPreferenceChange ({ channel , status: ChannelLevelPreferenceOptions . REQUIRED , setPreferenceData , }); } } /> </ div > < label htmlFor = { `required- ${ channel . channel } ` } style = { { marginLeft: 12 } } > Required </ label > </ div > < p style = { { color: "#6C727F" , fontSize: 14 , marginLeft: 22 } } > Allow only important notifications related to account and security settings </ p > </ div > </ div > </ div > ) } </ div > ); } function ChannelLevelPreferences ({ preferenceData , setPreferenceData }) { return ( < div > < div style = { { backgroundColor: "#FAFBFB" , paddingTop: 12 , paddingBottom: 12 , marginBottom: 18 , } } > < p style = { { fontSize: 18 , fontWeight: 500 , color: "#3D3D3D" , } } > What notifications to allow for channel? </ p > </ div > < div > { preferenceData . channel_preferences ? ( < div > { preferenceData . channel_preferences ?. map (( channel , index ) => { return ( < ChannelLevelPreferernceItem key = { index } channel = { channel } setPreferenceData = { setPreferenceData } /> ); }) } </ div > ) : ( < p > No Data </ p > ) } </ div > </ div > ); } // -------------- Main component -------------- // const suprSendClient = new SuprSend ( publicApiKey ); // create suprsend client export default function Preferences () { const [ preferenceData , setPreferenceData ] = useState (); const getPreferencesData = async () => { suprSendClient . user . preferences . getPreferences (). then (( resp ) => { if ( resp . status === "error" ) { console . log ( resp . error . message ); } else { setPreferenceData ({ ... resp . body }); } }); // listen for update in preferences data suprSendClient . emitter . on ( "preferences_updated" , ( preferenceData ) => { setPreferenceData ({ ... preferenceData . body }); }); // listen for errors suprSendClient . emitter . on ( "preferences_error" , ( response ) => { console . log ( "ERROR:" , response ?. error ?. message ); }); }; useEffect (() => { // autheticate user to suprsend suprSendClient . identify ( distinctId ). then (( resp ) => { // call suprsend.identify method before getting preferences getPreferencesData (); }); }, []); if ( ! preferenceData ) return < p > Loading... </ p > ; return ( < div style = { { margin: 24 } } > < h3 style = { { marginBottom: 24 } } > Notification Preferences </ h3 > < NotificationCategoryPreferences preferenceData = { preferenceData } setPreferenceData = { setPreferenceData } /> < ChannelLevelPreferences preferenceData = { preferenceData } setPreferenceData = { setPreferenceData } /> </ div > ); } // -------------- Custom Checkbox Component -------------- // function Checkbox ({ title , value , onClick , disabled }) { const selected = value === PreferenceOptions . OPT_IN ; return ( < div style = { { border: "0.5px solid #B5B5B5" , display: "inline-flex" , padding: "0px 20px 0px 4px" , borderRadius: 30 , cursor: disabled ? "not-allowed" : "pointer" , } } onClick = { onClick } > < Circle selected = { selected } disabled = { disabled } /> < p style = { { marginLeft: 8 , color: "#6C727F" , marginTop: 1 , fontWeight: 500 , paddingBottom: 4 , } } > { title } </ p > </ div > ); } function Circle ({ selected , disabled }) { const bgColor = selected ? disabled ? "#BDCFF8" : "#2463EB" : disabled ? "#D0CFCF" : "#FFF" ; return ( < div style = { { height: 20 , width: 20 , borderRadius: 100 , border: "0.5px solid #A09F9F" , backgroundColor: bgColor , marginTop: 3.6 , } } /> ); } Was this page helpful? Yes No Suggest edits Raise issue Previous Events and User methods Methods to send event or manage user updates based on user action in javascript websites like React, Angular,Vue, and Next.js. Next ⌘ I x github linkedin youtube Powered by On this page Pre-Requisites Understanding preference structure Preferences data structure 1.1 Sections 1.2 Categories (sections -> sub-categories) 1.3 Category channels (sections -> sub-categories -> channels) 2. Overall channel preferences Integration Get preferences data Update category preference Update channel preference in category Update overall channel preference Event listeners Example self.__next_f.push([1,"\"use strict\";\nconst {Fragment: _Fragment, jsx: _jsx, jsxs: _jsxs} = arguments[0];\nconst {useMDXComponents: _provideComponents} = arguments[0];\nfunction _createMdxContent(props) {\n const _components = {\n a: \"a\",\n code: \"code\",\n hr: \"hr\",\n li: \"li\",\n ol: \"ol\",\n p: \"p\",\n pre: \"pre\",\n span: \"span\",\n strong: \"strong\",\n tbody: \"tbody\",\n td: \"td\",\n th: \"th\",\n thead: \"thead\",\n tr: \"tr\",\n ul: \"ul\",\n ..._provideComponents(),\n ...props.components\n }, {CodeBlock, CodeGroup, Heading, OptimizedImage, Table} = _components;\n if (!CodeBlock) _missingMdxReference(\"CodeBlock\", true);\n if (!CodeGroup) _missingMdxReference(\"CodeGroup\", true);\n if (!Heading) _missingMdxReference(\"Heading\", true);\n if (!OptimizedImage) _missingMdxReference(\"OptimizedImage\", true);\n if (!Table) _missingMdxReference(\"Table\", true);\n return _jsxs(_Fragment, {\n children: [_jsx(Heading, {\n level: \"3\",\n id: \"pre-requisites\",\n children: \"Pre-Requisites\"\n }), \"\\n\", _jsxs(_components.ul, {\n children: [\"\\n\", _jsxs(_components.li, {\n children: [\"\\n\", _jsxs(_components.p, {\n children: [\"Integration of \", _jsx(_components.a, {\n href: \"/docs/integrate-javascript-sdk\",\n children: \"JavaScript SDK\"\n })]\n }), \"\\n\"]\n }), \"\\n\", _jsxs(_components.li, {\n children: [\"\\n\", _jsxs(_components.p, {\n children: [_jsx(_components.a, {\n href: \"/docs/user-preferences#create-notification-category\",\n children: \"Configure notification categories\"\n }), \" on SuprSend dashboard\"]\n }), \"\\n\"]\n }), \"\\n\"]\n }), \"\\n\", _jsx(Heading, {\n level: \"2\",\n id: \"understanding-preference-structure\",\n children: \"Understanding preference structure\"\n }), \"\\n\", _jsx(_components.p, {\n children: \"This is how a typical preference page will look like:\"\n }), \"\\n\", _jsx(OptimizedImage, {\n src: \"https://mintcdn.com/suprsend/JOwfEC79k-vs3tUR/images/docs/9204517-full_preferences.png?fit=max\u0026auto=format\u0026n=JOwfEC79k-vs3tUR\u0026q=85\u0026s=897b05e3a355be86571157338b193fad\",\n alt: \"\",\n \"data-og-width\": \"2146\",\n width: \"2146\",\n \"data-og-height\": \"3132\",\n height: \"3132\",\n \"data-path\": \"images/docs/9204517-full_preferences.png\",\n \"data-optimize\": \"true\",\n \"data-opv\": \"3\",\n srcset: \"https://mintcdn.com/suprsend/JOwfEC79k-vs3tUR/images/docs/9204517-full_preferences.png?w=280\u0026fit=max\u0026auto=format\u0026n=JOwfEC79k-vs3tUR\u0026q=85\u0026s=c3d4bca2083915543624fce19690b39e 280w, https://mintcdn.com/suprsend/JOwfEC79k-vs3tUR/images/docs/9204517-full_preferences.png?w=560\u0026fit=max\u0026auto=format\u0026n=JOwfEC79k-vs3tUR\u0026q=85\u0026s=28ce6ff12beeb6f0f8ae28b5c80691ad 560w, https://mintcdn.com/suprsend/JOwfEC79k-vs3tUR/images/docs/9204517-full_preferences.png?w=840\u0026fit=max\u0026auto=format\u0026n=JOwfEC79k-vs3tUR\u0026q=85\u0026s=8aa67c37d86dce7a4bc0480073a70fd2 840w, https://mintcdn.com/suprsend/JOwfEC79k-vs3tUR/images/docs/9204517-full_preferences.png?w=1100\u0026fit=max\u0026auto=format\u0026n=JOwfEC79k-vs3tUR\u0026q=85\u0026s=81cc42ca5c36b3438aa10ed460d678e6 1100w, https://mintcdn.com/suprsend/JOwfEC79k-vs3tUR/images/docs/9204517-full_preferences.png?w=1650\u0026fit=max\u0026auto=format\u0026n=JOwfEC79k-vs3tUR\u0026q=85\u0026s=3564fc5dfbb8c61489b98fe21174b130 1650w, https://mintcdn.com/suprsend/JOwfEC79k-vs3tUR/images/docs/9204517-full_preferences.png?w=2500\u0026fit=max\u0026auto=format\u0026n=JOwfEC79k-vs3tUR\u0026q=85\u0026s=9bc1fd878dd69190205f011c6b5c6e06 2500w\"\n }), \"\\n\", _jsx(_components.p, {\n children: \"Preference Page contains 2 sections:\"\n }), \"\\n\", _jsxs(_components.ol, {\n children: [\"\\n\", _jsxs(_components.li, {\n children: [\"\\n\", _jsx(_components.p, {\n children: \"Category-level preference settings (Sections)\"\n }), \"\\n\", _jsxs(_components.ul, {\n children: [\"\\n\", _jsxs(_components.li, {\n children: [\"\\n\", _jsx(_components.p, {\n children: _jsx(_components.a, {\n href: \"/docs/js-preferences#11-sections\",\n children: \"Sections\"\n })\n }), \"\\n\"]\n }), \"\\n\", _jsxs(_components.li, {\n children: [\"\\n\", _jsx(_components.p, {\n children: _jsx(_components.a, {\n href: \"/docs/js-preferences#12-categories-sections---sub-categories\",\n children: \"Categories\"\n })\n }), \"\\n\"]\n }), \"\\n\", _jsxs(_components.li, {\n children: [\"\\n\", _jsx(_components.p, {\n children: _jsx(_components.a, {\n href: \"/docs/js-preferences#13-category-channels-sections---sub-categories---channels\",\n children: \"Category Channel\"\n })\n }), \"\\n\", _jsx(OptimizedImage, {\n src: \"https://mintcdn.com/suprsend/dnAGb1CmSRGCSyT3/images/docs/4476752-sections.png?fit=max\u0026auto=format\u0026n=dnAGb1CmSRGCSyT3\u0026q=85\u0026s=b024e56290ab3a107110078532b25687\",\n alt: \"\",\n \"data-og-width\": \"3910\",\n width: \"3910\",\n \"data-og-height\": \"1656\",\n height: \"1656\",\n \"data-path\": \"images/docs/4476752-sections.png\",\n \"data-optimize\": \"true\",\n \"data-opv\": \"3\",\n srcset: \"https://mintcdn.com/suprsend/dnAGb1CmSRGCSyT3/images/docs/4476752-sections.png?w=280\u0026fit=max\u0026auto=format\u0026n=dnAGb1CmSRGCSyT3\u0026q=85\u0026s=e60badac06c6260bb285574c4bafdf55 280w, https://mintcdn.com/suprsend/dnAGb1CmSRGCSyT3/images/docs/4476752-sections.png?w=560\u0026fit=max\u0026auto=format\u0026n=dnAGb1CmSRGCSyT3\u0026q=85\u0026s=e23e053218ddfbd0f2e979253b373567 560w, https://mintcdn.com/suprsend/dnAGb1CmSRGCSyT3/images/docs/4476752-sections.png?w=840\u0026fit=max\u0026auto=format\u0026n=dnAGb1CmSRGCSyT3\u0026q=85\u0026s=8366fbb89fc94408bceb430b3228d572 840w, https://mintcdn.com/suprsend/dnAGb1CmSRGCSyT3/images/docs/4476752-sections.png?w=1100\u0026fit=max\u0026auto=format\u0026n=dnAGb1CmSRGCSyT3\u0026q=85\u0026s=af3ea890b7b4a4f6d12e20f89af7c11d 1100w, https://mintcdn.com/suprsend/dnAGb1CmSRGCSyT3/images/docs/4476752-sections.png?w=1650\u0026fit=max\u0026auto=format\u0026n=dnAGb1CmSRGCSyT3\u0026q=85\u0026s=9ac94530ee718f8779fb60f4dfb20945 1650w, https://mintcdn.com/suprsend/dnAGb1CmSRGCSyT3/images/docs/4476752-sections.png?w=2500\u0026fit=max\u0026auto=format\u0026n=dnAGb1CmSRGCSyT3\u0026q=85\u0026s=8f46dfc63ddb0f8a649c9dd236997474 2500w\"\n }), \"\\n\"]\n }), \"\\n\"]\n }), \"\\n\"]\n }), \"\\n\", _jsxs(_components.li, {\n children: [\"\\n\", _jsx(_components.p, {\n children: _jsx(_components.a, {\n href: \"/docs/js-preferences#2-overall-channel-preferences\",\n children: \"Overall Channel-level preference\"\n })\n }), \"\\n\"]\n }), \"\\n\"]\n }), \"\\n\", _jsx(OptimizedImage, {\n src: \"https://mintcdn.com/suprsend/3ix_OjxB_ZGM-pa-/images/docs/3063a30-overallChannel.png?fit=max\u0026auto=format\u0026n=3ix_OjxB_ZGM-pa-\u0026q=85\u0026s=ae87dc47e793ee11389890ad7d4fedd4\",\n alt: \"\",\n \"data-og-width\": \"1514\",\n width: \"1514\",\n \"data-og-height\": \"594\",\n height: \"594\",\n \"data-path\": \"images/docs/3063a30-overallChannel.png\",\n \"data-optimize\": \"true\",\n \"data-opv\": \"3\",\n srcset: \"https://mintcdn.com/suprsend/3ix_OjxB_ZGM-pa-/images/docs/3063a30-overallChannel.png?w=280\u0026fit=max\u0026auto=format\u0026n=3ix_OjxB_ZGM-pa-\u0026q=85\u0026s=df1d1e013ef409621aba4e42f4e39537 280w, https://mintcdn.com/suprsend/3ix_OjxB_ZGM-pa-/images/docs/3063a30-overallChannel.png?w=560\u0026fit=max\u0026auto=format\u0026n=3ix_OjxB_ZGM-pa-\u0026q=85\u0026s=8009516b9df6c949f7d7e4a58077b649 560w, https://mintcdn.com/suprsend/3ix_OjxB_ZGM-pa-/images/docs/3063a30-overallChannel.png?w=840\u0026fit=max\u0026auto=format\u0026n=3ix_OjxB_ZGM-pa-\u0026q=85\u0026s=b2f0187c56563d561237548defa7833e 840w, https://mintcdn.com/suprsend/3ix_OjxB_ZGM-pa-/images/docs/3063a30-overallChannel.png?w=1100\u0026fit=max\u0026auto=format\u0026n=3ix_OjxB_ZGM-pa-\u0026q=85\u0026s=36a1a49d2dbeca05252a12dfecadb902 1100w, https://mintcdn.com/suprsend/3ix_OjxB_ZGM-pa-/images/docs/3063a30-overallChannel.png?w=1650\u0026fit=max\u0026auto=format\u0026n=3ix_OjxB_ZGM-pa-\u0026q=85\u0026s=2c479bd656cbc275fee573c5f2b7faa4 1650w, https://mintcdn.com/suprsend/3ix_OjxB_ZGM-pa-/images/docs/3063a30-overallChannel.png?w=2500\u0026fit=max\u0026auto=format\u0026n=3ix_OjxB_ZGM-pa-\u0026q=85\u0026s=cd95cf96a97e79ada7a50c147eb5adc8 2500w\"\n }), \"\\n\", _jsx(Heading, {\n level: \"3\",\n id: \"preferences-data-structure\",\n children: \"Preferenc | 2026-01-13T08:49:31 |
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Right menu Websockets with Socket.IO eachampagne eachampagne eachampagne Follow Jan 12 Websockets with Socket.IO # javascript # networking # node # webdev 5 reactions Comments 2 comments 5 min read Breaking the Runtime Wall: Universal Frameworks in BEnder 🌍 Adam Golan Adam Golan Adam Golan Follow Jan 10 Breaking the Runtime Wall: Universal Frameworks in BEnder 🌍 # node # bunjs # backend # webdev Comments Add Comment 2 min read Building profiler0x0: An Arcade-Style GitHub Profile Analyzer That Doesn't Judge ackermannQ ackermannQ ackermannQ Follow Jan 12 Building profiler0x0: An Arcade-Style GitHub Profile Analyzer That Doesn't Judge # webdev # github # typescript # node Comments 2 comments 5 min read Essential Patterns for Inter-Service Communication in Node.js Microservices Jeferson Eiji Jeferson Eiji Jeferson Eiji Follow Jan 12 Essential Patterns for Inter-Service Communication in Node.js Microservices # node # microservices # grpc # rest 1 reaction Comments Add Comment 1 min read Hogo: Ignite Your Node.js Performance with Atomic Request Coalescing Mahmud Rahman Mahmud Rahman Mahmud Rahman Follow Jan 12 Hogo: Ignite Your Node.js Performance with Atomic Request Coalescing # node # performance # backend # javascript Comments Add Comment 2 min read The Async/Await Pitfalls You're Still Making in 2026: A Complete JavaScript Debugging Guide HK Lee HK Lee HK Lee Follow Jan 12 The Async/Await Pitfalls You're Still Making in 2026: A Complete JavaScript Debugging Guide # javascript # asyncawait # debugging # node Comments Add Comment 12 min read My First Open Source Contribution Was to an Authentication Project — And It Was Surprisingly Friendly Pramod K B Pramod K B Pramod K B Follow Jan 9 My First Open Source Contribution Was to an Authentication Project — And It Was Surprisingly Friendly # opensource # node # typescript # authentication Comments Add Comment 2 min read Integration tests in Node.js with Mocha/Chai Lucas Pereira de Souza Lucas Pereira de Souza Lucas Pereira de Souza Follow Jan 12 Integration tests in Node.js with Mocha/Chai # api # javascript # node # testing Comments Add Comment 6 min read Stop Fighting Your Circuit Breaker: A Physics-Based Approach to Node.js Reliability Erdem Arslan Erdem Arslan Erdem Arslan Follow Jan 11 Stop Fighting Your Circuit Breaker: A Physics-Based Approach to Node.js Reliability # node # devops # architecture # opensource Comments Add Comment 3 min read Testes de integração em Node.js com Mocha/Chai Lucas Pereira de Souza Lucas Pereira de Souza Lucas Pereira de Souza Follow Jan 12 Testes de integração em Node.js com Mocha/Chai # api # javascript # node # testing Comments Add Comment 7 min read DS Express Errors (centralizing errors library) — v1.8.0 & v1.8.1 Release Notes Nse569h Nse569h Nse569h Follow Jan 12 DS Express Errors (centralizing errors library) — v1.8.0 & v1.8.1 Release Notes # node # express # backend # dsexpresserrors 1 reaction Comments Add Comment 2 min read Building Modern Backends with Kaapi: Request validation Part 2 ShyGyver ShyGyver ShyGyver Follow Jan 11 Building Modern Backends with Kaapi: Request validation Part 2 # showdev # typescript # node # opensource Comments Add Comment 3 min read Building domharvest-playwright: From Idea to npm Package Max B. 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Follow Jan 11 Building domharvest-playwright: From Idea to npm Package # opensource # javascript # node # playwright Comments Add Comment 5 min read Complete Guide: Deploying Node.js Application on Ubuntu VPS Sahinur Sahinur Sahinur Follow Jan 11 Complete Guide: Deploying Node.js Application on Ubuntu VPS # node # devops # ubuntu # aws Comments Add Comment 4 min read NodeSecure hidden capability: mama Thomas.G Thomas.G Thomas.G Follow for NodeSecure Jan 10 NodeSecure hidden capability: mama # node # javascript # security Comments Add Comment 2 min read 9,000+ Downloads in 2 Weeks: I Just Built and Published KOLOG B Josias Yannick KOLOG B Josias Yannick KOLOG B Josias Yannick Follow Jan 11 9,000+ Downloads in 2 Weeks: I Just Built and Published # vectordatabases # ai # python # node Comments Add Comment 3 min read Why Most Node.js APIs Fail Under Load (And How to Avoid It) Shamim Ali Shamim Ali Shamim Ali Follow Jan 11 Why Most Node.js APIs Fail Under Load (And How to Avoid It) # node # npm # backenddevelopment Comments Add Comment 1 min read Real-Time Dashboards: Building a Heart Rate Monitor Enhances Remote Health Tracking wellallyTech wellallyTech wellallyTech Follow Jan 11 Real-Time Dashboards: Building a Heart Rate Monitor Enhances Remote Health Tracking # node # tutorial # fullstack # react Comments Add Comment 2 min read mkdir backend cd backend npm init -y npm install express mongoose cors dotenv Areeba Malik Areeba Malik Areeba Malik Follow Jan 11 mkdir backend cd backend npm init -y npm install express mongoose cors dotenv # tutorial # mongodb # node # react Comments 1 comment 3 min read Unraveling the Node.js Event Loop: The Asynchronous Heartbeat That Powers Your Code Patrick Ray Patrick Ray Patrick Ray Follow Jan 10 Unraveling the Node.js Event Loop: The Asynchronous Heartbeat That Powers Your Code # webdev # programming # node # javascript Comments Add Comment 8 min read Dependency Rollercoaster: Navigating the NPM Theme Park Manuj Sankrit Manuj Sankrit Manuj Sankrit Follow Jan 12 Dependency Rollercoaster: Navigating the NPM Theme Park # node # npm # webdev # fullstack Comments Add Comment 5 min read TypeScript --erasableSyntaxOnly 플래그, 왜 생겼고 언제 쓰나 wes5510 wes5510 wes5510 Follow Jan 10 TypeScript --erasableSyntaxOnly 플래그, 왜 생겼고 언제 쓰나 # typescript # javascript # node # webdev Comments Add Comment 2 min read Why Most Node.js Authentication Projects Break in Production (Lessons From Real Systems) Pramod K B Pramod K B Pramod K B Follow Jan 9 Why Most Node.js Authentication Projects Break in Production (Lessons From Real Systems) # node # backend # opensource # security Comments Add Comment 2 min read Node.js in 2026: Modern Practices You Should Be Using kafeel ahmad kafeel ahmad kafeel ahmad Follow Jan 9 Node.js in 2026: Modern Practices You Should Be Using # webdev # node # javascript # backend Comments Add Comment 12 min read I left Windows for Ubuntu. Here’s everything I configured and what I learned Melia Log Melia Log Melia Log Follow Jan 9 I left Windows for Ubuntu. Here’s everything I configured and what I learned # ubuntu # devjournal # node # java Comments Add Comment 3 min read loading... trending guides/resources From Idea to Launch: How Developers Can Build Successful Startups Yes, true + true === 2. And No, JavaScript Isn’t Broken Princípios do Clean Code Compreendendo 'this' no JavaScript Proxy e Reflect no JavaScript 🔥 The Night npm Caught Fire: Inside the 2025 JavaScript Supply-Chain Meltdown 📉 Building My Own HTTP Server in TypeScript Publishing Your First NPM Package: A Real-World Guide That Actually Helps Shai Hulud Scanner Deno Vs Bun In 2025: Two Modern Approaches To JavaScript Runtime Development Why it's time to ditch UUIDv4 and switch to UUIDv7! Setting Up SonarQube Locally for React Native & MERN Projects How to pin Node.js and PNPM versions in your project Building Node.js CLI Tool. 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Past Incidents Jan 13 , 2026 Increased rate of errors for Opus 4.5 Resolved - This incident has been resolved. Jan 13 , 07:49 UTC Monitoring - A fix has been implemented and we are monitoring the results. Jan 13 , 07:39 UTC Investigating - We are currently investigating this issue. Jan 13 , 07:27 UTC Jan 12 , 2026 Elevated rate of errors for multiple models Resolved - This incident has been resolved. Jan 12 , 20:14 UTC Monitoring - A fix has been implemented and we are monitoring the results. Jan 12 , 18:39 UTC Identified - The issue has been identified and a fix is being implemented. Jan 12 , 18:19 UTC Update - We are continuing to investigate this issue. Jan 12 , 18:18 UTC Investigating - We are currently investigating this issue. Jan 12 , 18:10 UTC Increased rate of errors for Opus 4.5 Resolved - This incident has been resolved. Jan 12 , 20:14 UTC Identified - The issue has been identified and a fix is being implemented. Jan 12 , 20:07 UTC Investigating - We are currently investigating this issue. Jan 12 , 19:21 UTC Jan 11 , 2026 No incidents reported. Jan 10 , 2026 Elevated error rates on Sonnet 4.5 1M context Resolved - This incident has been resolved. Jan 10 , 15:41 UTC Monitoring - A fix has been implemented and we are monitoring the results. Jan 10 , 15:16 UTC Identified - The issue has been identified and a fix is being implemented. Jan 10 , 15:00 UTC Update - We are continuing to investigate this issue. Jan 10 , 14:36 UTC Investigating - We are currently investigating this issue. Jan 10 , 14:33 UTC Degraded performance for API requests involving structured outputs. Resolved - We've deployed a fix to resolve the issue. Jan 10 , 06:38 UTC Identified - This issue has been identified and we're working on a fix. Jan 10 , 04:40 UTC Update - We are continuing to investigate this issue. Jan 10 , 03:37 UTC Investigating - We are currently investigating a performance issue affecting API requests that use structured outputs and strict tool use. Jan 10 , 03:37 UTC New Subscription Activation & Payment Issues Resolved - The fix finished deploying approximately 2 hours ago and new purchases should work correctly going forward. We're closing this statuspage for now, and will work to restore access and/or provide refunds as needed for all affected customers. Jan 10 , 04:55 UTC Update - We are continuing to work on a fix for this issue. Jan 9 , 22:52 UTC Identified - The issue has been identified and a fix should be coming soon for new purchases. After the issue is fixed, we will issue refunds for all users who were incorrectly charged and/or properly grant subscription access. The issue began around 10PM PST on 2026-01-08 and affected new subscriptions purchased through web Jan 9 , 19:59 UTC Investigating - We are investigating reports that some new customer subscriptions are charging customers without properly granting subscription access, which is also leading to accidental double or triple payments for some customers. Jan 9 , 19:41 UTC Jan 9 , 2026 Jan 8 , 2026 Increased latency on Sonnet 4.5 Resolved - This incident has been resolved. Jan 8 , 21:57 UTC Identified - The issue has been identified and a fix is being implemented. Jan 8 , 17:43 UTC Investigating - We are currently investigating this issue. Jan 8 , 17:23 UTC Claude subscription usage limits not visible in Claude.ai and Claude Code Resolved - This incident has been resolved. Jan 8 , 05:06 UTC Update - We are continuing to investigate this issue. Jan 7 , 19:20 UTC Investigating - We are currently investigating this issue. Jan 7 , 19:07 UTC Jan 7 , 2026 Elevated error rates on Opus 4.5 Resolved - This incident has been resolved. Jan 7 , 10:04 UTC Monitoring - A fix has been implemented and we are monitoring the results. Jan 7 , 09:28 UTC Identified - The issue has been identified and a fix is being implemented. Jan 7 , 09:22 UTC Investigating - We are currently investigating this issue. Jan 7 , 09:09 UTC Jan 6 , 2026 Errors on requests to Haiku 3.5 Resolved - This incident has been resolved. Jan 6 , 00:29 UTC Investigating - We are currently investigating this issue. Jan 6 , 00:26 UTC Jan 5 , 2026 No incidents reported. Jan 4 , 2026 No incidents reported. Jan 3 , 2026 No incidents reported. Jan 2 , 2026 No incidents reported. Jan 1 , 2026 No incidents reported. Dec 31 , 2025 No incidents reported. Dec 30 , 2025 No incidents reported. ← Incident History Powered by Atlassian Statuspage | 2026-01-13T08:49:31 |
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Got it Close Post 5575 posts published Comment 0 comments written Tag 0 tags followed No Laying Up Podcast: 1108: Brooks Koepka and the Returning Member Program YouTube Golf YouTube Golf YouTube Golf Follow Jan 13 No Laying Up Podcast: 1108: Brooks Koepka and the Returning Member Program # golf # recommendations Comments Add Comment 1 min read No Laying Up Podcast: 1108: Koepka and the Returning Member Program YouTube Golf YouTube Golf YouTube Golf Follow Jan 13 No Laying Up Podcast: 1108: Koepka and the Returning Member Program # golf # recommendations Comments Add Comment 1 min read Grant Horvat: Can I Beat Bob With 1 Club? (Meltdown) YouTube Golf YouTube Golf YouTube Golf Follow Jan 12 Grant Horvat: Can I Beat Bob With 1 Club? 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golf # lessons # selftaught # recommendations Comments Add Comment 1 min read Golf With Aimee: 그립 하나로 스윙이 바뀐다 쇼트트랙 황제 곽윤기와 골프 레슨 YouTube Golf YouTube Golf YouTube Golf Follow Jan 1 Golf With Aimee: 그립 하나로 스윙이 바뀐다 쇼트트랙 황제 곽윤기와 골프 레슨 # golf # lessons # selftaught # recommendations Comments Add Comment 1 min read Golf With Aimee: 그립 하나로 스윙이 바뀐다 쇼트트랙 황제 곽윤기와 골프 레슨 YouTube Golf YouTube Golf YouTube Golf Follow Jan 1 Golf With Aimee: 그립 하나로 스윙이 바뀐다 쇼트트랙 황제 곽윤기와 골프 레슨 # golf # lessons # recommendations # selftaught Comments Add Comment 1 min read Golf.com: How TGL’s Surreal Arena Actually Works YouTube Golf YouTube Golf YouTube Golf Follow Jan 1 Golf.com: How TGL’s Surreal Arena Actually Works # golf Comments Add Comment 1 min read Golf With Aimee: 그립 하나로 스윙이 바뀐다 쇼트트랙 황제 곽윤기와 골프 레슨 YouTube Golf YouTube Golf YouTube Golf Follow Jan 1 Golf With Aimee: 그립 하나로 스윙이 바뀐다 쇼트트랙 황제 곽윤기와 골프 레슨 # golf # lessons # selftaught # recommendations 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 Golf Forem — A community of golfers and golfing 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. 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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 Design Community Close Welcome to Design Community — part of the Forem network! We're a place where designers share, stay up-to-date and grow their careers. Create account Log in Home About Contact Other Code of Conduct Privacy Policy Terms of Use Twitter Facebook Github Instagram Twitch Mastodon Popular Tags #javascript #design #resources #tools #portfolio #recommendations #sideprojects #nocode #webdesign #hardware #uxdesign #uidesign #figma #freelancing #ethics #productdesign #offtopic #careeradvice #dataviz #copywriting #branding #photography #plugins #salary #typography #memes #showcase #critique #introductions #designblogs Design Community Web design, graphic design and everything in-between Built on Forem — the open source software that powers DEV and other inclusive communities. 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https://opensource.org/about/board-of-directors#content | Board of directors – Open Source Initiative Skip to content Get involved About Licenses Open Source Definition Open Source AI Programs Blog Get involved About Licenses Open Source Definition Open Source AI Programs Blog Open Main Menu Home About Board of directors Board of directors The Open Source Initiative (OSI) is managed by a board of directors that is the ultimate authority responsible for the organization as a California public benefit corporation, with 501(c)3 tax-exempt status. Responsibilities of OSI Board Directors The board’s responsibilities include oversight of the organization, supporting the executive director and staff. The board approves the budget, sets strategic direction and defines goals in line with the mission. OSI directors are expected to work actively and pro-actively as a member of the board, OSI and open source community. It is understood directors are volunteers, and each will be engaged in professional and personal responsibilities outside OSI. For different reasons, related to work, college/university, family, etc. there will be periods of time where a director will be busy and/or can not commit to the demands of the board or community, either as much as one would like or as much as is needed. However, this should be the exception, not the rule. Each board member is expected to sign the Board member agreement . Current composition The OSI board is composed of: Four directors elected by OSI Individual members for two-years terms. Four directors elected by OSI Affiliate organizations for three-years terms. Four directors appointed for two-years terms by the board itself. Directors who have served for five or more years may not run for the board, until they have been off of the board for one year or more. 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https://redis.io/redis-for-ai/ | Redis for AI - Redis Skip to: Home Content Footer navigation New from O’Reilly: The memory architecture behind adaptive AI agents Read the report LangCache Products Products Redis Cloud Fully managed and integrated with Google Cloud, Azure, and AWS Redis Software Self-managed software with enterprise-grade compliance and reliability Redis Open Source In-memory database for caching & streaming Redis for AI Faster GenAI apps start here Tools Redis LangCache Redis Insight Redis Data Integration Clients & Connectors Get Redis Downloads Resources Learn Tutorials Quick starts Commands University Knowledge Base Resource Center Blog Demo Center Developer Hub Connect Customer Stories Partners Support Community Events & Webinars Professional Services Latest Releases News & updates Learn how to Build Visit our Developer Hub Docs Pricing Search Login Book a meeting Try Redis LangCache Products Products Redis Cloud Fully managed and integrated with Google Cloud, Azure, and AWS Redis Software Self-managed software with enterprise-grade compliance and reliability Redis Open Source In-memory database for caching & streaming Redis for AI Faster GenAI apps start here Tools Redis LangCache Redis Insight Redis Data Integration Clients & Connectors Get Redis Downloads Resources Learn Tutorials Quick starts Commands University Knowledge Base Resource Center Blog Demo Center Developer Hub Connect Customer Stories Partners Support Community Events & Webinars Professional Services Latest Releases News & updates Learn how to Build Visit our Developer Hub Docs Pricing Try Redis Book a meeting Login The real-time context engine for AI Give your chatbots and agents high-accuracy context LLMs and AI apps need just the right data at the right time to provide quality responses. Search, gather, and serve the right context for LLMs with the unified platform you already know and love. Try free Read our AI docs How it works Customers Key features Get started Get accurate responses with hybrid search Enterprises need their search engines to combine filtering and exact matching with vector search in a high-performance, scalable way. Vector-only databases can’t keep up and result in bad answers and architectural redesigns. Learn about Redis Search Improve RAG with the fastest vector database Give users fast answers with retrieval-augmented generation (RAG) from our benchmark-leading vector database and configure search the way you want. Learn about Redis vector database Recall key memories for agents Assembling the right context for LLMs takes a thoughtful approach to identifying, summarizing, and retrieving relevant memories to deliver useful outputs. We manage it for you and work with leading third-party frameworks. Try Agent Memory Server Cut LLM cost calls with semantic caching Store the semantic meaning of frequent calls to LLMs so apps can answer commonly asked questions faster with lower LLM inference costs. Try LangCache Serve real-time ML features with feature store Deliver live features, like user behavior or risk scores, to your models with sub-millisecond latency. Our feature store orchestrates batch, streaming, and on-demand pipelines. Learn more about feature store Companies that trust Redis for AI Built on Redis Use the Redis you know and love. No additional contracts or security reviews. Try Redis for free Connects to GenAI ecosystem Integrate with top GenAI tools so you can build how you want. See our integrations Pre-built libraries Don’t start from scratch. RedisVL automates core functionality for you. Learn more Benchmarked speed You know us for speed. Now we’re the fastest for GenAI, too. See our benchmarks Sample notebooks Explore our use cases with ecosystem integrations to start building faster. Clone our dev repo Worldwide scale The world’s biggest companies use us to build smarter, faster apps. See our customers Get started Meet with an expert and start using Redis for AI today. Try for free Talk to sales Frequently asked questions More questions? See our Docs page Why use Redis over traditional databases for AI? Traditional databases often introduce latency due to disk-based storage and complex indexing. Redis, being in-memory, drastically reduces query times and supports real-time AI apps by efficiently handling searches, caching results, and maintaining performance at scale. How does Redis compare to specialized vector databases for AI? Unlike dedicated vector databases, Redis offers multi-modal capabilities—handling vector search, real-time caching, feature storage, and pub/sub messaging in a single system. This eliminates the need for multiple tools, reducing complexity and cost. What indexing methods does Redis use for vector search? Redis supports HNSW (Hierarchical Navigable Small World) for fast approximate nearest neighbor (ANN) search and Flat indexing for exact search. This flexibility allows AI applications to balance speed and accuracy based on their needs. How does Redis ensure data persistence for AI workloads? Redis offers RDB (snapshotting) and AOF (Append-Only File) persistence options, ensuring AI-related data remains available even after restarts. Redis on Flex further enables larger data sets to persist cost-effectively. Where can I learn more about how to use Redis for AI? You can see AI training courses on Redis University . Our Docs page for AI explains concepts, resources, and includes many howtos for building GenAI apps like AI assistants with RAG and AI agents. 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https://docs.suprsend.com/docs/inbox-react-native#content-area | React Native (Headless) - SuprSend, Notification infrastructure for Product teams Skip to main content SuprSend, Notification infrastructure for Product teams home page Search... ⌘ K Community Trust Center Platform Status Postman Collection GETTING STARTED What is SuprSend? Quick Start Guide Best Practices Plan Your Integration Go-live checklist CORE CONCEPTS Templates Users Events Workflow Notification Categories Preferences Tenants Lists Broadcast Objects Translations DLT Guidelines Whatsapp Template Guidelines WORKFLOW BUILDER Design Workflow Node List Workflow Settings Trigger Workflow Validate Trigger Payload Tenant Workflows Notification Inbox Overview Multi Tabs React Javascript (Angular, Vuejs etc) React Native React Native (Headless) HMAC Authentication DEPRECATED Flutter (Headless) PREFERENCE CENTRE Embedded Preference Centre Javascript Angular React VENDOR INTEGRATION GUIDE Overview Email Integrations SMS Integrations Android Push Whatsapp Integrations iOS Push Chat Integrations Vendor Fallback Tenant Vendor INTEGRATIONS Webhook Connectors MONITORING & DEBUGGING Logs Audit Logs Error Guides MANAGE YOUR ACCOUNT Authentication Methods Contact Us Get Started SuprSend, Notification infrastructure for Product teams home page Search... ⌘ K Ask AI Contact Us Get Started Get Started Search... Navigation React Native React Native (Headless) Documentation API Reference Management API CLI Reference Developer Resources Changelog Documentation API Reference Management API CLI Reference Developer Resources Changelog React Native React Native (Headless) OpenAI Open in ChatGPT Integrate SuprSend inbox in React Native using the headless library and hooks. OpenAI Open in ChatGPT The Headless Inbox library provides hooks that can be integrated into React Native components for building inbox, and toast functionality in your applications. Installation npm yarn Copy Ask AI npm install @suprsend/react-headless Initialization Enclose your app in SuprSendProvider like below and pass the workspace key , distinct_id , and subscriber_id . App.js Copy Ask AI import { SuprSendProvider } from "@suprsend/react-headless" ; function App () { return ( < SuprSendProvider workspaceKey = "<workspace_key>" subscriberId = "<subscriber_id>" distinctId = "<distinct_id>" > < YourAppCode /> </ SuprSendProvider > ); } SuprSend hooks can only be used inside of SuprSendProvider. Adding SuprSend inbox component 1) useBell hook This hook provides unSeenCount, markAllSeen which is related to the Bell icon in the inbox unSeenCount : Use this variable to show the unseen notification count anywhere in your application. markAllSeen : Used to mark seen for all notifications. Call this method on clicking the bell icon so that it will reset the bell count to 0. Bell.js Copy Ask AI import { useBell } from "@suprsend/react-headless" ; function Bell () { const { unSeenCount , markAllSeen } = useBell (); return < p onClick = { () => markAllSeen () } > { unSeenCount } </ p > ; } 2) useNotifications hook This hook provides a notifications list, unSeenCount, markClicked, markAllSeen. notifications : List of all notifications. This array can be looped and notifications can be displayed. unSeenCount : Use this variable to show the unseen notification count anywhere in your application. markClicked : Method used to mark a notification as clicked. Pass notification id which is clicked as the first param. markAllRead : This method is used to mark all individual notifications as seen. Add a button anywhere in your notification tray as Mark all as read and on clicking of that call this method. mark all read sample Notifications.js Copy Ask AI import { useNotifications } from "@suprsend/react-headless" ; function Notifications () { const { notifications , markAllRead } = useNotifications (); return ( < div > < h3 > Notifications </ h3 > < p onClick = { () => { markAllRead ()} } > Mark all read </ p > { notifications . map (( notification ) => { return ( < NotificationItem notification = { notification } key = { notification . n_id } markClicked = { markClicked } /> ); }) } </ div > ); } function NotificationItem ({ notification , markClicked }) { const message = notification . message ; const created = new Date ( notification . created_on ). toDateString (); return ( < div onClick = { () => { markClicked ( notification . n_id ); } } style = { { backgroundColor: "lightgray" , margin: 2 , borderRadius: 5 , padding: 4 , cursor: "pointer" , } } > < div style = { { display: "flex" } } > < p > { message . header } </ p > { ! notification . seen_on && < p style = { { color: "green" } } > * </ p > } </ div > < div > < p > { message . text } </ p > </ div > < div > < p style = { { fontSize: "12px" } } > { created } </ p > </ div > </ div > ); } Notification object structure: Notification.js Copy Ask AI interface IRemoteNotification { n_id : string n_category : string created_on : number seen_on ?: number message : IRemoteNotificationMessage } interface IRemoteNotificationMessage { header : string schema : string text : string url : string extra_data ?: string actions ?: { url : string ; name : string }[] avatar ?: { avatar_url ?: string ; action_url ?: string } subtext ?: { text ?: string ; action_url ?: string } } 3) useEvent hook This hook is an event emitter when and takes arguments event type and callback function when the event happens. Must be called anywhere inside SuprSendProvider Handled Events: new_notification: Called when the new notification occurs can be used to show toast in your application. Sample.js Copy Ask AI import { useEvent } from "@suprsend/react-headless" ; function Home () { useEvent ( "new_notification" , ( newNotification ) => { console . log ( "new notification data: " , newNotification ); alert ( "You have new notifications" ); }); return < p > Home </ p > ; } Example implementation Check the example implementation. Was this page helpful? Yes No Suggest edits Raise issue Previous HMAC Authentication Steps to safely authenticate users and generate subscriber-id in headless Inbox implementation. Next ⌘ I x github linkedin youtube Powered by On this page Installation Initialization Adding SuprSend inbox component 1) useBell hook 2) useNotifications hook 3) useEvent hook Example implementation | 2026-01-13T08:49:31 |
https://docs.github.com/en/copilot/how-tos/get-code-suggestions/get-ide-code-suggestions | Getting code suggestions in your IDE with GitHub Copilot - 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 GitHub Copilot / How-tos / Get code suggestions / Get IDE code suggestions Home GitHub Copilot Get started Quickstart What is GitHub Copilot? 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Tool navigation Visual Studio Code JetBrains IDEs Visual Studio Eclipse Vim/Neovim Azure Data Studio Xcode View page as Markdown In this article Introduction Prerequisites Getting code suggestions Showing alternative suggestions Showing multiple suggestions in a new tab Accepting partial suggestions Introduction Prerequisites Getting code suggestions Showing alternative suggestions Getting comment suggestions Navigating and accepting next edit suggestions Introduction Prerequisites Getting code suggestions Showing alternative suggestions Showing multiple suggestions in a new tab Accepting partial suggestions Navigating and accepting next edit suggestions Changing the AI model Introduction Prerequisites Learning to use GitHub Copilot in Vim/Neovim Introduction Prerequisites Getting code suggestions Showing alternative suggestions Accepting partial suggestions Introduction Prerequisites Getting code suggestions Navigating and accepting next edit suggestions Introduction Prerequisites Getting code suggestions Manually triggering inline suggestions Accepting partial suggestions Navigating and accepting next edit suggestions Next steps Further reading Get started for free Open in Visual Studio Code Introduction This guide demonstrates how to get coding suggestions from GitHub Copilot in a JetBrains IDE. To see instructions for other popular coding environments, use the tool switcher at the top of the page. The examples in this guide use Java, however other languages will work similarly. For more information, see GitHub Copilot code suggestions in your IDE . Prerequisites Access to Copilot . To use GitHub Copilot in JetBrains, you need either limited access through Copilot Free or a paid Copilot plan for full access. See What is GitHub Copilot? . Compatible JetBrains IDE . To use GitHub Copilot in JetBrains, you must have a compatible JetBrains IDE installed. GitHub Copilot is compatible with the following IDEs: IntelliJ IDEA (Ultimate, Community, Educational) Android Studio AppCode CLion Code With Me Guest DataGrip DataSpell GoLand JetBrains Client MPS PhpStorm PyCharm (Professional, Community, Educational) Rider RubyMine RustRover WebStorm Writerside See the JetBrains IDEs tool finder to download. Latest version of the GitHub Copilot extension . See the GitHub Copilot plugin in the JetBrains Marketplace. For installation instructions, see Installing the GitHub Copilot extension in your environment . Sign in to GitHub in your JetBrains IDE . For authentication instructions, see Installing the GitHub Copilot extension in your environment . Getting code suggestions GitHub Copilot offers coding suggestions as you type. For example, in a Java file, create a class by typing class Test . GitHub Copilot will automatically suggest a class body in grayed text. To accept the suggestion, press Tab . You can also describe something you want to do using natural language within a comment, and Copilot will suggest the code to accomplish your goal. For example, type this comment in a Java file: Java // find all images without alternate text // and give them a red border void process () { // find all images without alternate text // and give them a red border void process () { GitHub Copilot will automatically suggest code. To accept the suggestion, press Tab . GitHub Copilot will attempt to match the context and style of your code. You can always edit the suggested code. Tip If you receive limited or no suggestions from Copilot, you may have duplication detection enabled. For more information about duplication detection, see Managing GitHub Copilot policies as an individual subscriber . Showing alternative suggestions For any given input, GitHub Copilot may offer multiple suggestions. You can select which suggestion to use, or reject all suggestions. For example, type the following line in a Java file, and press Enter : Java private int calculateDaysBetweenDates(Date date1, private int calculateDaysBetweenDates (Date date1, GitHub Copilot will show you a suggestion. Now hover over the suggestion to show the GitHub Copilot control for choosing suggestions. To display next or previous suggestions, click the forward or back arrow button in the control. You can also use keyboard shortcuts to show alternative suggestions: OS See next suggestion See previous suggestion macOS Option + ] Option + [ Windows or Linux Alt + ] Alt + [ To accept a suggestion, click "Accept" in the Copilot command palette, or press Tab . To reject all suggestions, press Esc . Showing multiple suggestions in a new tab If you don't want to use any of the initial suggestions GitHub Copilot offers, you can show multiple suggestions in a new tab. For example, type the following line in a Java file: Java private int calculateDaysBetweenDates(Date date1, private int calculateDaysBetweenDates (Date date1, GitHub Copilot will show you a suggestion. To open a new tab with multiple additional suggestions, use the following keyboard shortcut, then click Open GitHub Copilot : OS Open multiple suggestions macOS Command + Shift + A Windows or Linux Ctrl + Enter To accept a suggestion, below the suggestion, click Accept suggestion NUMBER . To reject all suggestions, close the tab. Accepting partial suggestions If you don't want to accept an entire suggestion from GitHub Copilot, you can accept the next word or the next line of a suggestion. For example, type the following line in a Java file: Java private int calculateDaysBetweenDates(Date date1, private int calculateDaysBetweenDates (Date date1, GitHub Copilot will show a suggestion in grayed text. The exact suggestion may vary. Now hover over the suggestion to show the GitHub Copilot control for choosing suggestions. To accept only the next word of the suggestion, click Accept Word in the control. Alternatively, you can use a keyboard shortcut to accept the next word of a suggestion: OS Accept Next Word Accept Next Line macOS Command + → Command + Control + → Windows or Linux Control + → Control + Alt + → If you want to accept the next line of a suggestion, you will need to set a custom keyboard shortcut for the command editor.action.inlineSuggest.acceptNextLine . For more information on setting custom keyboard shortcuts, see Configuring GitHub Copilot in your environment . Introduction This guide demonstrates how to get coding suggestions from GitHub Copilot in Visual Studio for Windows. To see instructions for other popular coding environments, use the tool switcher at the top of the page. The examples in this guide use C#, however other languages will work similarly. For more information, see GitHub Copilot code suggestions in your IDE . Prerequisites Access to Copilot . To use GitHub Copilot in GitHub Copilot in Visual Studio, you need either limited access through Copilot Free or a paid Copilot plan for full access. See What is GitHub Copilot? . Compatible version of Visual Studio . To use GitHub Copilot in Visual Studio, you must have version 2022 17.8 or later of Visual Studio for Windows installed. For more information, see Install Visual Studio in the Microsoft documentation. GitHub Copilot extension for Visual Studio . For instructions on how to install the Copilot extension, see Install GitHub Copilot in Visual Studio in the Microsoft documentation. Add your GitHub account to Visual Studio . See Add your GitHub accounts to your Visual Studio keychain in the Microsoft documentation. Getting code suggestions GitHub Copilot offers coding suggestions as you type. For example, type this function signature in a C# file: C# int CalculateDaysBetweenDates( int CalculateDaysBetweenDates ( GitHub Copilot will automatically suggest an entire function body in grayed text. To accept the suggestion, press Tab . You can also describe something you want to do using natural language within a comment, and Copilot will suggest the code to accomplish your goal. For example, type this comment in the C# file: C# using System.Xml.Linq; var doc = XDocument.Load("index.xhml"); // find all images using System.Xml.Linq; var doc = XDocument.Load( "index.xhml" ); // find all images GitHub Copilot will suggest an implementation of the function. To accept the suggestion, press Tab . Tip If you receive limited or no suggestions from Copilot, you may have duplication detection enabled. For more information about duplication detection, see Managing GitHub Copilot policies as an individual subscriber . Showing alternative suggestions For any given input, GitHub Copilot may offer multiple suggestions. You can select which suggestion to use, or reject all suggestions. For example, type this function signature in a C# file: C# int CalculateDaysBetweenDates( int CalculateDaysBetweenDates ( GitHub Copilot will show you a suggestion. Now hover over the suggestion to show the GitHub Copilot control for choosing suggestions. To display next or previous suggestions, click the forward or back arrow button in the control. Alternatively, you can show alternate suggestions by pressing Alt + . (or Alt + , ) on your keyboard. To accept a suggestion, click "Accept" in the Copilot command palette, or press Tab . To reject all suggestions, press Esc . Getting comment suggestions Note Comment suggestions are available in Visual Studio 17.14 Preview 2 and later. GitHub Copilot can suggest comments for your code, by analyzing the code you write and generating comments that describe what the code does. For Copilot Free users, comment suggestions count towards your monthly Copilot Chat usage, not your code suggestions usage. Comment suggestions are available in the following languages: C# C++ Enabling comment suggestions To enable comment suggestions, you need to configure the comment style in Visual Studio. For C++ In Visual Studio, in the Tools menu, click Options . In the left-side panel, click Text Editor . Click C++ , then Code Style . Under the Code Style heading, click General . Under "Comments," select Xml Doc Comments from the dropdown. Select Insert existing comment style at the start of new lines when writing comments and Continue single line comments. Then click OK . In the Options tab, in the left-side panel, click GitHub . Click Copilot , then Editor . Select Enable AI generated descriptions for auto-inserted documentation comments in supported languages . For C# In Visual Studio, in the Tools menu, click Options . In the left-side panel, click Languages . Click C# , then More Settings , then Advanced . Under "Comments," select Generate XML documentation comments for /// , Insert // at the start of new lines when writing // comments , and Insert * at the start of new lines when writing /* */ comments. Then click OK . In the Options tab, in the left-side panel, click GitHub . Click Copilot , then Editor . Select Enable AI generated descriptions for auto-inserted documentation comments in supported languages . Using comment suggestions To initiate comment suggestions, type the standard comment initiator for the language you are writing in (for example, /// ), before the code you want to comment, and wait for the suggestion to appear. To accept the suggestion, press Tab . To modify the suggestion, press Alt + / . To reject the suggestion, press Esc . Navigating and accepting next edit suggestions Based on the edits you are making, Copilot will predict the location of the next edit you are likely to make and suggest a completion for it. You can navigate suggested code changes using Tab , making it easier to find the next relevant edit without manually searching through files or references. Press Tab again to accept a suggestion. An arrow in the gutter indicates an available edit suggestion. Click the arrow to access the edit suggestion menu, which provides keyboard shortcuts. If an edit suggestion is outside the current editor view, the arrow will point up or down to indicate where the next suggestion is. Introduction This guide demonstrates how to get coding suggestions from GitHub Copilot in Visual Studio Code. To see instructions for other popular coding environments, use the tool switcher at the top of the page. The examples in this guide use JavaScript, however other languages will work similarly. For more information, see GitHub Copilot code suggestions in your IDE . Prerequisites Access to Copilot . To use GitHub Copilot in Visual Studio Code, you need either limited access through Copilot Free or a paid Copilot plan for full access. See What is GitHub Copilot? . Sign in to GitHub in Visual Studio Code . See Set up GitHub Copilot in Visual Studio Code in the VS Code documentation.. Visual Studio Code . To use GitHub Copilot in Visual Studio Code, you must have Visual Studio Code installed. For more information, see the Visual Studio Code download page . Copilot in Visual Studio Code . When you set up GitHub Copilot in Visual Studio Code for the first time, the required extensions are installed automatically. You don't need to download or install them manually. For detailed instructions, see Set up GitHub Copilot in Visual Studio Code in the Visual Studio Code documentation. Getting code suggestions GitHub Copilot offers coding suggestions as you type. For example, type this function header in a JavaScript file: JavaScript function calculateDaysBetweenDates(begin, end) { function calculateDaysBetweenDates ( begin, end ) { GitHub Copilot will automatically suggest the rest of the function. To accept the suggestion, press Tab . You can also describe something you want to do using natural language within a comment, and Copilot will suggest the code to accomplish your goal. For example, type this comment in a JavaScript file: JavaScript // write a function to // find all images without alternate text // and give them a red border // write a function to // find all images without alternate text // and give them a red border GitHub Copilot will automatically suggest code. To accept the suggestion, press Tab . Tip If you receive limited or no suggestions from Copilot, you may have duplication detection enabled. For more information about duplication detection, see Managing GitHub Copilot policies as an individual subscriber . Showing alternative suggestions For any given input, GitHub Copilot may offer multiple suggestions. You can select which suggestion to use, or reject all suggestions. For example, type this function header in a JavaScript file, and press Enter : JavaScript function calculateDaysBetweenDates(begin, end) { function calculateDaysBetweenDates ( begin, end ) { GitHub Copilot will show you a suggestion. Now hover over the suggestion to show the GitHub Copilot control for choosing suggestions. To display next or previous suggestions, click the forward or back arrow button in the control. You can also use keyboard shortcuts to show alternative suggestions: OS See next suggestion See previous suggestion macOS Option (⌥) or Alt + ] Option (⌥) or Alt + [ Windows or Linux Alt + ] Alt + [ To accept a suggestion, click "Accept" in the Copilot command palette, or press Tab . To reject all suggestions, press Esc . Showing multiple suggestions in a new tab If you don't want to use any of the initial suggestions GitHub Copilot offers, you can show multiple suggestions in a new tab. For example, type this function header in a JavaScript file, and press Enter : JavaScript function calculateDaysBetweenDates(begin, end) { function calculateDaysBetweenDates ( begin, end ) { GitHub Copilot will show you a suggestion. Now press Ctrl + Enter to open a new tab with multiple additional options. To accept a suggestion, below the suggestion, click Accept suggestion NUMBER . To reject all suggestions, close the tab. Accepting partial suggestions If you don't want to accept an entire suggestion from GitHub Copilot, you can accept the next word or the next line of a suggestion. For example, type this function header in a JavaScript file, and press Enter : JavaScript function calculateDaysBetweenDates(begin, end) { function calculateDaysBetweenDates ( begin, end ) { GitHub Copilot will automatically suggest an entire function body in grayed text. The exact suggestion may vary. Now hover over the suggestion to show the GitHub Copilot control for choosing suggestions. To accept only the next word of the suggestion, click Accept Word in the control. Alternatively, you can use a keyboard shortcut to accept the next word of a suggestion: OS Accept Next Word macOS Command + → Windows or Linux Control + → If you want to accept the next line of a suggestion, you will need to set a custom keyboard shortcut for the command editor.action.inlineSuggest.acceptNextLine . For more information on setting custom keyboard shortcuts, see Configuring GitHub Copilot in your environment . Navigating and accepting next edit suggestions Next edit suggestions predicts where and what edits may be needed based on ongoing changes. You can navigate suggested code changes using Tab , making it easier to find the next relevant edit without manually searching through files or references. Press Tab again to accept a suggestion. An arrow in the gutter indicates an available edit suggestion. Hover over the arrow to access the edit suggestion menu, which provides keyboard shortcuts and settings options. If an edit suggestion is outside the current editor view, the arrow will point up or down to indicate where the next suggestion is. For more details and examples, see Inline suggestions with GitHub Copilot in VS Code in the Visual Studio Code documentation. Changing the AI model You can change the large language model that's used to generate inline suggestions. For more information, see Changing the AI model for GitHub Copilot inline suggestions . Introduction This guide demonstrates how to get coding suggestions from GitHub Copilot in Vim/Neovim. To see instructions for other popular coding environments, use the tool switcher at the top of the page. Prerequisites Access to Copilot . To use GitHub Copilot in Vim/Neovim, you need either limited access through Copilot Free or a paid Copilot plan for full access. See What is GitHub Copilot? . Compatible version of Vim/Neovim . To use GitHub Copilot in Vim/Neovim you must have Vim version 9.0.0185 / Neovim version 0.6 or above and Node.js version 18 or above installed. For more information, see the Vim / Neovim documentation and the Node.js website . GitHub Copilot extension for Vim/Neovim . To use GitHub Copilot in Vim/Neovim, you must install the GitHub Copilot plugin. For more information, see Installing the GitHub Copilot extension in your environment . Learning to use GitHub Copilot in Vim/Neovim GitHub Copilot provides suggestions inline as you type in Vim/Neovim. To accept a suggestion, press the tab key. For more information and guidance on using GitHub Copilot in Vim/Neovim run the following command to view the plugin documentation: Shell :help copilot :help copilot Introduction This guide demonstrates how to get coding suggestions from GitHub Copilot in Azure Data Studio. To see instructions for other popular coding environments, use the tool switcher at the top of the page. Prerequisites Access to Copilot . To use GitHub Copilot in Azure Data Studio, you need either limited access through Copilot Free or a paid Copilot plan for full access. See What is GitHub Copilot? . Compatible version of Azure Data Studio . To use GitHub Copilot in Azure Data Studio, you must have Azure Data Studio version 1.44.0 or later installed. For more information, see the Azure Data Studio download page in the Azure Data Studio documentation. GitHub Copilot extension for Azure Data Studio . To use GitHub Copilot in Azure Data Studio, you must install the GitHub Copilot extension. For more information, see Installing the GitHub Copilot extension in your environment . Getting code suggestions GitHub Copilot can provide you with inline suggestions as you create SQL databases in Azure Data Studio. For example, if you're writing a query that joins two tables, Copilot may suggest the join condition from columns in the open editor, other files in the workspace, and common syntax patterns. In a SQL file, type the following query: SQL SELECT [UserId], [Red], [Orange], [Yellow], [Green], [Blue], [Purple], [Rainbow] FROM [Tag].[Scoreboard] INNER JOIN SELECT [UserId], [Red], [Orange], [Yellow], [Green], [Blue], [Purple], [Rainbow] FROM [Tag].[Scoreboard] INNER JOIN GitHub Copilot will automatically suggest a join condition in grayed text. The exact suggestion may vary. To accept the suggestion, press Tab . You can also describe something you want to do using natural language within a comment, and Copilot will suggest the code to accomplish your goal. For example, type this comment in a SQL file: SQL SELECT TokenColor, COUNT(UserID) AS UserCount FROM Tag.Users GROUP BY TokenColor -- pivot that query on tokencolor for Purple, Blue, Green, Yellow, Orange, Red -- and rename the columns to match the colors SELECT [Purple], [Blue], [Green], [Yellow], [Orange], [Red] SELECT TokenColor, COUNT (UserID) AS UserCount FROM Tag.Users GROUP BY TokenColor -- pivot that query on tokencolor for Purple, Blue, Green, Yellow, Orange, Red -- and rename the columns to match the colors SELECT [Purple], [Blue], [Green], [Yellow], [Orange], [Red] GitHub Copilot will automatically suggest code. To accept the suggestion, press Tab . Tip If you receive limited or no suggestions from Copilot, you may have duplication detection enabled. For more information on duplication detection, see Managing GitHub Copilot policies as an individual subscriber . Showing alternative suggestions For some suggestions, GitHub Copilot may provide multiple alternatives. You can select which suggestion you want to use, or reject all suggestions. For example, type this query in a SQL file: SQL SELECT [UserId], [Red], [Orange], [Yellow], [Green], [Blue], [Purple], [Rainbow] FROM [Tag].[Scoreboard] INNER JOIN SELECT [UserId], [Red], [Orange], [Yellow], [Green], [Blue], [Purple], [Rainbow] FROM [Tag].[Scoreboard] INNER JOIN GitHub Copilot will show you a suggestion. Now hover over the suggestion to show the GitHub Copilot control for choosing suggestions. To display next or previous suggestions, click the forward or back arrow button in the control. You can also use keyboard shortcuts to show alternative suggestions: OS See next suggestion See previous suggestion macOS Option + [ Option + ] Windows or Linux Alt + [ Alt + ] To accept a suggestion, click "Accept" in the Copilot control, or press Tab . To reject all suggestions, press Esc . Accepting partial suggestions If you don't want to accept an entire suggestion from GitHub Copilot, you can accept the next word or the next line of a suggestion. For example, type this query in a SQL file: SQL SELECT [UserId], [Red], [Orange], [Yellow], [Green], [Blue], [Purple], [Rainbow] FROM [Tag].[Scoreboard] INNER JOIN SELECT [UserId], [Red], [Orange], [Yellow], [Green], [Blue], [Purple], [Rainbow] FROM [Tag].[Scoreboard] INNER JOIN GitHub Copilot will show you a suggestion in grayed text. The exact suggestion may vary. Now hover over the suggestion to show the GitHub Copilot control for choosing suggestions. To accept only the next word of the suggestion, click Accept Word in the control. Alternatively, you can use a keyboard shortcut to accept the next word of a suggestion: OS Accept Next Word macOS Command + → Windows or Linux Control + → If you want to accept the next line of the suggestion, you will need to set a custom keyboard shortcut for the command editor.action.inlineSuggest.acceptNextLine . For more information on setting custom keyboard shortcuts, see Keyboard shortcuts in Azure Data Studio in the Microsoft documentation. Introduction This guide demonstrates how to get coding suggestions from GitHub Copilot in Xcode. To see instructions for other popular coding environments, use the tool switcher at the top of the page. Prerequisites Access to Copilot . To use GitHub Copilot in Xcode, you need either limited access through Copilot Free or a paid Copilot plan for full access. See What is GitHub Copilot? . GitHub Copilot extension for Xcode . To use GitHub Copilot for Xcode, you must install the GitHub Copilot for Xcode extension. See Installing the GitHub Copilot extension in your environment . Getting code suggestions GitHub Copilot offers coding suggestions as you type. For example, type this function signature in a Swift file: Swift func calculateDaysBetweenDates( func calculateDaysBetweenDates ( GitHub Copilot will automatically suggest an entire function body in grayed text. To accept the first line of a suggestion, press Tab . To view the full suggestion, hold Option , and to accept the full suggestion, press Option + Tab . Improving code suggestions If you encounter issues with code suggestions, such as conflicting or missing suggestions, you can try the following: Disable Xcode's native predictive text completion: To avoid receiving two sets of code suggestions, you can disable Xcode's native predictive text completion. You can find this setting in the Xcode settings in the "Editing" tab under "Text Editing." Check for duplication detection in Copilot: If you receive limited or no suggestions from Copilot, you may have duplication detection enabled. For more information on duplication detection, see Managing GitHub Copilot policies as an individual subscriber . Check for updates and restart Xcode: Ensure you have the latest version of Copilot for Xcode in the extension application and restart Xcode. You can also open an issue in the Copilot for Xcode repository . Navigating and accepting next edit suggestions Next edit suggestions predicts where and what edits may be needed based on ongoing changes. You can navigate suggested code changes using Tab , making it easier to find the next relevant edit without manually searching through files or references. Press Tab again to accept a suggestion (unless you have disabled the "Accept suggestions with Tab" setting for the GitHub Copilot for Xcode extension). An arrow in the gutter indicates an available edit suggestion. Hover over the arrow to access the edit suggestion menu, which provides keyboard shortcuts and settings options. Introduction This guide demonstrates how to get coding suggestions from GitHub Copilot in Eclipse. To see instructions for other popular coding environments, use the tool switcher at the top of the page. Prerequisites Access to Copilot . To use GitHub Copilot in Eclipse, you need either limited access through Copilot Free or a paid Copilot plan for full access. See What is GitHub Copilot? . GitHub Copilot extension for Eclipse .To use GitHub Copilot in Eclipse, you must install the GitHub Copilot extension. See Installing the GitHub Copilot extension in your environment . Getting code suggestions GitHub Copilot offers coding suggestions as you type. For example, type this function header in a Java file: Java public int getDiff(int a, int b) public int getDiff ( int a, int b) GitHub Copilot will automatically suggest the rest of the function. To accept the suggestion, press Tab . To discard the suggestion, press Esc . You can also describe something you want to do using natural language within a comment, and Copilot will suggest the code to accomplish your goal. For example, type this comment in a Java file: Java /* * Return the difference between two different integers. */ /* * Return the difference between two different integers. */ GitHub Copilot will automatically suggest code. Tip If you receive limited or no suggestions from Copilot, you may have duplication detection enabled. For more information about duplication detection, see Managing GitHub Copilot policies as an individual subscriber . Manually triggering inline suggestions You can also use keyboard shortcuts to trigger inline suggestions. OS Trigger inline suggestions macOS Option + Command + / Windows or Linux Ctrl + Alt + / Accepting partial suggestions If you don't want to accept an entire suggestion from Copilot, you can accept the next word of a suggestion. OS Accept next word macOS Command + → Windows or Linux Ctrl + → Navigating and accepting next edit suggestions Next edit suggestions predicts where and what edits may be needed based on ongoing changes. You can navigate suggested code changes using Tab , making it easier to find the next relevant edit without manually searching through files or references. Press Tab again to accept a suggestion. An arrow in the gutter indicates an available edit suggestion. Hover over the arrow to access the edit suggestion menu, which provides keyboard shortcuts and settings options. Next steps Learn how to write effective prompts - See Prompt engineering for GitHub Copilot Chat . Configure Copilot in your editor - You can enable or disable GitHub Copilot from within your editor, and create your own preferred keyboard shortcuts for Copilot. See Configuring GitHub Copilot in your environment . Get started with GitHub Copilot Chat - Learn how to ask Copilot for information and assistance, using GitHub Copilot Chat. See Asking GitHub Copilot questions in your IDE . Troubleshoot issues - Learn more about how to troubleshoot common issues with GitHub Copilot. See Troubleshoot GitHub Copilot . Further reading GitHub Copilot code suggestions in your IDE 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 | 2026-01-13T08:49:31 |
https://docs.suprsend.com/docs/developer/overview#developer-community | Overview - SuprSend, Notification infrastructure for Product teams Skip to main content SuprSend, Notification infrastructure for Product teams home page Search... ⌘ K Community Trust Center Platform Status Postman Collection Developer Resources Overview Updates and Versioning Versioning and Support Policy SDK Changelog Authentication API Keys and Secrets Service Token Best Practices for Key & Token Management MCP Overview BETA Quickstart Tool List Building with LLMs Security Security SDKs and APIs SDKs Management API REST API Postman Collection Features Validate Trigger Payload Type Safety Testing Testing the Template Test Mode Monitoring and Logging Logs Data Out Contact Us Get Started SuprSend, Notification infrastructure for Product teams home page Search... ⌘ K Ask AI Contact Us Get Started Get Started Search... Navigation Developer Resources Overview Documentation API Reference Management API CLI Reference Developer Resources Changelog Documentation API Reference Management API CLI Reference Developer Resources Changelog Developer Resources Overview OpenAI Open in ChatGPT Learn how to use SuprSend developer tools to build integrations, test notifications, and manage your notification system programmatically. OpenAI Open in ChatGPT SuprSend provides a comprehensive set of developer resources to help you build, test, and manage your notification system safely and efficiently. These tools are designed to simplify integrating, building and testing your notification system with SuprSend. Authentication API Keys Learn how to set up and manage API keys for secure authentication with SuprSend APIs. Service Tokens Learn how to set up and manage service tokens for secure authentication with SuprSend Management API. Developer tools CLI (Command Line Interface) Pull, Push and sync SuprSend assets right from your terminal. MCP (Model Context Protocol) Query, Search, Update assets and communicate with SuprSend from your AI agents through tool calling. SDKs and APIs SDKs Choose from our server-side and client-side SDKs for seamless integration with your application. REST API Use our REST API to programmatically interact with SuprSend. Management API Programmatically manage workflows, templates, and other SuprSend resources using our Management API. Postman Collection Test and explore SuprSend APIs using our comprehensive Postman collection with pre-configured requests. Testing Test Mode Safely test notification flows in staging environments without delivering to real users. Monitoring and Logging Logs Track complete notification lifecycle on SuprSend dashboard: starting from request, workflow execution, to message delivery, and its engagement status (delivered, seen, clicked). Webhooks Configure webhooks to receive real-time updates about notification status and delivery events. Amazon S3 Store notification logs in Amazon S3 for long-term storage and analysis. Developer Community YouTube Channel Video tutorials, demos, and best practices for building with SuprSend. Blog Technical articles, case studies, and product updates from our team. GitHub Repository Open source tools, examples, and SDKs for developers. Slack Community Connect with other developers, get help, and share your projects. Was this page helpful? Yes No Suggest edits Raise issue Versioning and Support Policy Learn about SuprSend's versioning and support policy for SDKs and APIs. Next ⌘ I x github linkedin youtube Powered by On this page Authentication Developer tools SDKs and APIs Testing Monitoring and Logging Developer Community | 2026-01-13T08:49:31 |
https://dev.to/t/wlhchallenge | World's Largest Hackathon Writing 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 World's Largest Hackathon Writing Challenge Follow Hide This is the official tag for submissions and announcements related to the World's Largest Hackathon Writing Challenge Create Post Older #wlhchallenge 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 Bolt Made me Bold... (LullaRead) WLH Challenge: After the Hack Submission Aima Atigari Aima Atigari Aima Atigari Follow Sep 5 '25 Bolt Made me Bold... (LullaRead) # devchallenge # wlhchallenge # career # entrepreneurship 6 reactions Comments Add Comment 4 min read Wired for Innovation: Lessons from Bolt.New hackathon WLH Challenge: Beyond the Code Submission EcoGetaway EcoGetaway EcoGetaway Follow Jul 23 '25 Wired for Innovation: Lessons from Bolt.New hackathon # devchallenge # wlhchallenge # community # networking Comments Add Comment 2 min read NoChill.AI – Built During Exams, Celebrated With a Community WLH Challenge: Beyond the Code Submission T Mohamed Yaser T Mohamed Yaser T Mohamed Yaser Follow Jul 23 '25 NoChill.AI – Built During Exams, Celebrated With a Community # devchallenge # wlhchallenge # community # networking Comments Add Comment 2 min read 🛠️ After the Hack: What’s Next for Promptle (and Me) WLH Challenge: After the Hack Submission Nithya Subramaniam Nithya Subramaniam Nithya Subramaniam Follow Jul 22 '25 🛠️ After the Hack: What’s Next for Promptle (and Me) # devchallenge # wlhchallenge # career # entrepreneurship Comments Add Comment 2 min read built TailorMyResume.online Magic with Bolt.new WLH Challenge: Building with Bolt Submission yu gumin yu gumin yu gumin Follow Jul 21 '25 built TailorMyResume.online Magic with Bolt.new # devchallenge # wlhchallenge # bolt # ai Comments Add Comment 2 min read Not Sure What Therapy’s Right for You? There’s a Quiz for That | MindFLTR WLH Challenge: Beyond the Code Submission Sola Janet Browne Sola Janet Browne Sola Janet Browne Follow Jul 23 '25 Not Sure What Therapy’s Right for You? There’s a Quiz for That | MindFLTR # devchallenge # wlhchallenge # community # networking 4 reactions Comments 1 comment 4 min read 🌱 Building Roots: Voice-First School System with ElevenLabs WLH Challenge: Building with Bolt Submission Juan González Ponce Juan González Ponce Juan González Ponce Follow Jul 23 '25 🌱 Building Roots: Voice-First School System with ElevenLabs # devchallenge # wlhchallenge # bolt # ai 5 reactions Comments Add Comment 3 min read HomeWhisper: Beyond the Code – Building a Human-Centered Smart Home Experience WLH Challenge: Beyond the Code Submission ANIRUDDHA ADAK ANIRUDDHA ADAK ANIRUDDHA ADAK Follow Jul 17 '25 HomeWhisper: Beyond the Code – Building a Human-Centered Smart Home Experience # devchallenge # wlhchallenge # community # networking Comments Add Comment 2 min read Beyond the Code - The Intense Human Story of StudentSphere's Genesis WLH Challenge: Beyond the Code Submission Abdulahad Ishaq Abdulahad Ishaq Abdulahad Ishaq Follow Jul 17 '25 Beyond the Code - The Intense Human Story of StudentSphere's Genesis # wlhchallenge # bolt # supabase # hackathon 1 reaction Comments Add Comment 3 min read Life After WLH - How a Hackathon Transformed My Career Trajectory Oni Oni Oni Follow Jul 16 '25 Life After WLH - How a Hackathon Transformed My Career Trajectory # devchallenge # wlhchallenge # career # entrepreneurship Comments Add Comment 1 min read From Solo Developer to Community Builder - My WLH Journey Beyond Code Oni Oni Oni Follow Jul 16 '25 From Solo Developer to Community Builder - My WLH Journey Beyond Code # devchallenge # wlhchallenge # community # networking Comments Add Comment 1 min read Code Guardian: Revolutionizing Code Review with AI and Bolt WLH Challenge: Building with Bolt Submission ANIRUDDHA ADAK ANIRUDDHA ADAK ANIRUDDHA ADAK Follow Jul 14 '25 Code Guardian: Revolutionizing Code Review with AI and Bolt # devchallenge # wlhchallenge # bolt # ai Comments Add Comment 1 min read My Project Development Experience and Technical Journey with TrailGuard Daniela Oliveira Daniela Oliveira Daniela Oliveira Follow Jul 13 '25 My Project Development Experience and Technical Journey with TrailGuard # devchallenge # wlhchallenge # bolt # ai Comments Add Comment 2 min read ResearchFlow AI: Helping Students Navigate the Research Maze WLH Challenge: Beyond the Code Submission FranP-code FranP-code FranP-code Follow Jul 17 '25 ResearchFlow AI: Helping Students Navigate the Research Maze # devchallenge # wlhchallenge # community # networking Comments Add Comment 3 min read MindCare AI: Revolutionizing Mental Health Support with Compassionate AI WLH Challenge: Beyond the Code Submission ANIRUDDHA ADAK ANIRUDDHA ADAK ANIRUDDHA ADAK Follow Jul 11 '25 MindCare AI: Revolutionizing Mental Health Support with Compassionate AI # devchallenge # wlhchallenge # community # networking Comments Add Comment 3 min read Self-Learning MCP Ecosystem - System Specification: Building with Bolt - WLH Challenge WLH Challenge: Building with Bolt Submission Arion Dev.ed Arion Dev.ed Arion Dev.ed Follow Aug 9 '25 Self-Learning MCP Ecosystem - System Specification: Building with Bolt - WLH Challenge # devchallenge # wlhchallenge # bolt # ai 14 reactions Comments 1 comment 2 min read From Law School to LegalTech: How I built Speedy Justice WLH Challenge: Building with Bolt Submission Manvi Manvi Manvi Follow Jul 9 '25 From Law School to LegalTech: How I built Speedy Justice # devchallenge # buildingwithbolt # bolt # wlhchallenge Comments Add Comment 2 min read Iggy: After the Hack - WLH Challenge WLH Challenge: After the Hack Submission Arion Dev.ed Arion Dev.ed Arion Dev.ed Follow Aug 9 '25 Iggy: After the Hack - WLH Challenge # devchallenge # wlhchallenge # career # entrepreneurship 9 reactions Comments Add Comment 3 min read Bankrupt Clock: After the Hack - WLH Challenge WLH Challenge: After the Hack Submission Arion Dev.ed Arion Dev.ed Arion Dev.ed Follow Aug 9 '25 Bankrupt Clock: After the Hack - WLH Challenge # devchallenge # wlhchallenge # career # entrepreneurship 11 reactions Comments Add Comment 3 min read Celebrate!: After the Hack - WLH Challenge WLH Challenge: After the Hack Submission Arion Dev.ed Arion Dev.ed Arion Dev.ed Follow Aug 9 '25 Celebrate!: After the Hack - WLH Challenge # devchallenge # wlhchallenge # career # entrepreneurship 9 reactions Comments Add Comment 3 min read 🚀Building with Bolt: How I Created Smile2Earn WLH Challenge: Building with Bolt Submission Shree chavan Shree chavan Shree chavan Follow Jul 9 '25 🚀Building with Bolt: How I Created Smile2Earn # devchallenge # wlhchallenge # bolt # ai Comments Add Comment 2 min read 3D game created with AI WLH Challenge: Building with Bolt Submission Mykola Korzh Mykola Korzh Mykola Korzh Follow Jul 31 '25 3D game created with AI # wlhchallenge # devchallenge # ai # bolt 26 reactions Comments 2 comments 5 min read What's next after the Bolt hackathon WLH Challenge: After the Hack Submission goldenekpendu goldenekpendu goldenekpendu Follow Aug 1 '25 What's next after the Bolt hackathon # devchallenge # wlhchallenge # career # entrepreneurship 19 reactions Comments Add Comment 2 min read The Art of the Hack: From Suspicion to Submission WLH Challenge: After the Hack Submission NiKole Maxwell NiKole Maxwell NiKole Maxwell Follow Aug 1 '25 The Art of the Hack: From Suspicion to Submission # devchallenge # wlhchallenge # bolt # ai 15 reactions Comments Add Comment 3 min read From MVP to Impact: What’s Next for Soulvia? WLH Challenge: After the Hack Submission hannalap hannalap hannalap Follow Jul 31 '25 From MVP to Impact: What’s Next for Soulvia? # devchallenge # wlhchallenge # career # entrepreneurship 18 reactions 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. Made with love and Ruby on Rails . DEV Community © 2016 - 2026. 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https://dev.to/t/githubactions | GitHub Actions - 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 GitHub Actions Follow Hide GitHub Actions helps you automate, customize, and execute your software development workflows right in your repository. You can discover, create, and share actions to perform any job you'd like, including CI/CD, and combine actions in a completely customized workflow. Create Post about #githubactions Use this tag to share your experiences and insights with using GitHub Actions. Articles can focus on tips and tricks, real-world use cases, step-by-step tutorials, and best practices for authoring or using GitHub Actions in different contexts. 1️⃣ Get Started 2️⃣ Examples 3️⃣ Custom Actions Older #githubactions 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 Making Retype Docs AI-Ready with llms.txt Automation zakaria chahboun zakaria chahboun zakaria chahboun Follow Jan 10 Making Retype Docs AI-Ready with llms.txt Automation # documentation # githubactions # markdown # devops Comments Add Comment 2 min read Building a Chrome Extension: From Idea to Automated Release Prajwol Shrestha Prajwol Shrestha Prajwol Shrestha Follow Jan 11 Building a Chrome Extension: From Idea to Automated Release # webdev # extensions # automation # githubactions Comments Add Comment 2 min read Bastion Host & GitHub Actions on Hostim.dev Pavel Pavel Pavel Follow Jan 8 Bastion Host & GitHub Actions on Hostim.dev # docker # githubactions # cicd # ci Comments Add Comment 2 min read Stop Manual Deploys: A 5-Minute Guide to GitHub Actions in 2026 Meena Nukala Meena Nukala Meena Nukala Follow Jan 7 Stop Manual Deploys: A 5-Minute Guide to GitHub Actions in 2026 # github # git # githubactions # guide Comments Add Comment 2 min read Docker is Overkill: Setting Up Lightweight CI/CD for Solo Devs Akshith Anand Akshith Anand Akshith Anand Follow Jan 4 Docker is Overkill: Setting Up Lightweight CI/CD for Solo Devs # webdev # cicd # githubactions # docker 1 reaction Comments Add Comment 7 min read Troubleshooting Auth Issues Pulling Multiple Images With BuildKit in Github Actions Joseph Yi Joseph Yi Joseph Yi Follow Jan 6 Troubleshooting Auth Issues Pulling Multiple Images With BuildKit in Github Actions # docker # githubactions # devops Comments Add Comment 2 min read 🚀 Terraform Day 27: Automating Infrastructure with GitHub Actions (CI/CD) Jeeva Jeeva Jeeva Follow Dec 31 '25 🚀 Terraform Day 27: Automating Infrastructure with GitHub Actions (CI/CD) # githubactions # cicd # devops # terraform Comments Add Comment 2 min read Como fazer o upload de imagens Docker para a Huawei Cloud usando o GitHub Actions Matheus Farias de Oliveira Matsumoto Matheus Farias de Oliveira Matsumoto Matheus Farias de Oliveira Matsumoto Follow Dec 30 '25 Como fazer o upload de imagens Docker para a Huawei Cloud usando o GitHub Actions # githubactions # docker # huaweicloud # terraform Comments Add Comment 6 min read PlatformIO on GitHub Actions with cache accelerate aKuad aKuad aKuad Follow Dec 30 '25 PlatformIO on GitHub Actions with cache accelerate # githubactions # iot Comments Add Comment 2 min read GitHub Actions로 Docker 이미지 자동 빌드 및 배포하기 - 완벽 가이드 dss99911 dss99911 dss99911 Follow Dec 31 '25 GitHub Actions로 Docker 이미지 자동 빌드 및 배포하기 - 완벽 가이드 # infra # devops # githubactions # docker Comments Add Comment 3 min read Day-21 GitHub Actions, CI Triggers, and Understanding Runners 🚀 Jayanth Dasari Jayanth Dasari Jayanth Dasari Follow Dec 30 '25 Day-21 GitHub Actions, CI Triggers, and Understanding Runners 🚀 # devops # githubactions # cicd # jenkins Comments Add Comment 2 min read CI/CD Explained for Beginners (Using GitHub Actions Terms) Raji Sherifdeen ayinla Raji Sherifdeen ayinla Raji Sherifdeen ayinla Follow Dec 30 '25 CI/CD Explained for Beginners (Using GitHub Actions Terms) # devops # github # githubactions # softwaredevelopment 1 reaction Comments Add Comment 3 min read Improved Dependency Submission for GitHub Actions Jesse Houwing Jesse Houwing Jesse Houwing Follow Dec 27 '25 Improved Dependency Submission for GitHub Actions # githubactions # github # supplychainsecurity # security Comments Add Comment 3 min read GitHub Actions: From Zero to Production(EP10)✌️ Vishwark Vishwark Vishwark Follow Dec 25 '25 GitHub Actions: From Zero to Production(EP10)✌️ # github # githubactions # cicd # gitlab Comments Add Comment 3 min read Hello World to GitHub Actions: Your First Automated Workflow Vishwajeet Kondi Vishwajeet Kondi Vishwajeet Kondi Follow Dec 25 '25 Hello World to GitHub Actions: Your First Automated Workflow # githubactions # cicd # automation # devops Comments Add Comment 7 min read GitHub Actions: From Zero to Production(EP6)🚀 Vishwark Vishwark Vishwark Follow Dec 25 '25 GitHub Actions: From Zero to Production(EP6)🚀 # github # githubactions # cicd # gitlab Comments Add Comment 3 min read GitHub Actions: From Zero to Production(EP7)🚀 Vishwark Vishwark Vishwark Follow Dec 25 '25 GitHub Actions: From Zero to Production(EP7)🚀 # github # githubactions # cicd # gitlab Comments Add Comment 3 min read GitHub Actions: From Zero to Production(EP1)🚀 Vishwark Vishwark Vishwark Follow Dec 25 '25 GitHub Actions: From Zero to Production(EP1)🚀 # githubactions # frontend # github # cicd Comments Add Comment 2 min read GitHub Actions: From Zero to Production(EP4)🚀 Vishwark Vishwark Vishwark Follow Dec 25 '25 GitHub Actions: From Zero to Production(EP4)🚀 # github # githubactions # cicd # frontend Comments Add Comment 3 min read GitHub Actions: From Zero to Production(EP5) Vishwark Vishwark Vishwark Follow Dec 25 '25 GitHub Actions: From Zero to Production(EP5) # github # githubactions # frontend # cicd Comments Add Comment 2 min read GitHub Actions: From Zero to Production(EP3)🚀 Vishwark Vishwark Vishwark Follow Dec 25 '25 GitHub Actions: From Zero to Production(EP3)🚀 # githubactions # github # frontend # cicd Comments Add Comment 2 min read GitHub Actions: From Zero to Production(EP2)🚀 Vishwark Vishwark Vishwark Follow Dec 25 '25 GitHub Actions: From Zero to Production(EP2)🚀 # github # githubactions # frontend # cicd Comments Add Comment 2 min read CI/CD Pipelines : Understand in 3 Minutes Hongster Hongster Hongster Follow Dec 25 '25 CI/CD Pipelines : Understand in 3 Minutes # cicdpipeline # automation # githubactions # abotwrotethis Comments Add Comment 3 min read Is CI/CD Stifling Innovation? Reclaiming Developer Velocity in 2026 Barecheck Team Barecheck Team Barecheck Team Follow Dec 24 '25 Is CI/CD Stifling Innovation? Reclaiming Developer Velocity in 2026 # cicd # devops # automation # githubactions Comments Add Comment 4 min read 🚀 Stop Killing Your Bundle Size Chintan prajapati Chintan prajapati Chintan prajapati Follow Dec 26 '25 🚀 Stop Killing Your Bundle Size # typescript # javascript # performance # githubactions 3 reactions Comments Add Comment 3 min read loading... trending guides/resources Terraform Drift Detection Powered by GitHub Actions 10 GitHub Repos Every Serious Prompt Writer Should Be Using Alternatives to GitHub Actions for self-hosted runners Advent of AI 2025 - Day 1: Getting Goose to Generate Daily Fortunes in CI Use Markdownlint for your documentation Automate Terraform Module Releases on the public registry using GitHub Actions Advent of AI 2025 - Day 6: Automating GitHub Issue Triage with Goose Automatic Preview Environments with SST and GitHub Actions Automate Your Astro Blog with GitHub Actions Agentic DevOps: I Let GitHub Copilot Run My Entire CI/CD Pipeline (And Lived to Tell the Tale) Building a Zero-Downtime CI/CD Pipeline: Blue-Green Deployments for 100K+ Daily Requests How to Query a Railway SQLite Database from GitHub Actions Deploying a React Vite App to Azure App Service Using Docker & GitHub Actions (with OIDC) 🚀 CI/CD for Dummies Automate Content Quality with VectorLint GitHub Action AWS Cloud Resume Challenge - my attempt Improved Dependency Submission for GitHub Actions Building a Chrome Extension: From Idea to Automated Release Boost Developer productivity and DBOps efficiency with AWS Aurora Cloning Building a GitHub Action for Recurring Project Items 💎 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://redis.io/learn/community/discord | Redis Discord Server | Redis Skip to: Home Content Footer navigation New from O’Reilly: The memory architecture behind adaptive AI agents Read the report LangCache Products Products Redis Cloud Fully managed and integrated with Google Cloud, Azure, and AWS Redis Software Self-managed software with enterprise-grade compliance and reliability Redis Open Source In-memory database for caching & streaming Redis for AI Faster GenAI apps start here Tools Redis LangCache Redis Insight Redis Data Integration Clients & Connectors Get Redis Downloads Resources Learn Tutorials Quick starts Commands University Knowledge Base Resource Center Blog Demo Center Developer Hub Connect Customer Stories Partners Support Community Events & Webinars Professional Services Latest Releases News & updates Learn how to Build Visit our Developer Hub Docs Pricing Search Login Book a meeting Try Redis LangCache Products Products Redis Cloud Fully managed and integrated with Google Cloud, Azure, and AWS Redis Software Self-managed software with enterprise-grade compliance and reliability Redis Open Source In-memory database for caching & streaming Redis for AI Faster GenAI apps start here Tools Redis LangCache Redis Insight Redis Data Integration Clients & Connectors Get Redis Downloads Resources Learn Tutorials Quick starts Commands University Knowledge Base Resource Center Blog Demo Center Developer Hub Connect Customer Stories Partners Support Community Events & Webinars Professional Services Latest Releases News & updates Learn how to Build Visit our Developer Hub Docs Pricing Try Redis Book a meeting Login Back For developers Redis Discord Server The Redis Discord server is a place where you can learn, share, and collaborate about anything and everything Redis. Connect with users from the community, Redis University, and Redis Inc. Get your questions answered and learn cool new tips and tricks. Watch for notifications of new content from Redis and the community. Share your knowledge and expertise with others. # How to join If you already have a Discord account, joining is easy. Just go to https://discord.gg/redis and your in. If you don't have a Discord account, you'll need to create one . Once you have an account, you can download Discord for you desktop, get the mobile app, or just use it in a browser. # Server rules One you are on the server, you should be aware of our rules: Be respectful. Sending and linking harmful material will result in an immediate and permanent ban. No shady links (e.g. to .jar files, or .exe files). DO NOT spam. Also, DO NOT spam. DO NOT use vulgar or explicit language—keep it family friendly. DO NOT claim authorship of assets that are not yours. Plagiarism will result in a ban. 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There are 26 channels grouped into Help: Available , Help: In Use , and Help: Dormant . ❓ Help: Available contains channels that are available for a question. If you have a question, you can claim this channel simply by posting it there. The channel will immediately be moved to Help: In Use. :raisedhand: Help: In Use has channels that are being used to answer a question. If you have the answer to a fellow user’s question, post it here. If you asked the question, other users may answer it. If someone has answered your question—or perhaps you answer it yourself—you can close the channel by typing /close. Channels will automatically close if they are inactive for 48 hours. Closed channels are moved to _Help: Dormant. 💤 Help: Dormant is for channels that are not currently in use. You can read them—useful as there are lots of answered questions here—but you cannot post to them. When someone claims a channel in Help: Available, a random channel is selected from Help: Dormant to replace it. 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Report Abuse Arghya Majumder Posted on Jan 9 Google Calendar - Day View (HLD) # architecture # interview # systemdesign Table of Contents Problem Statement & Requirements High-Level Architecture Component Architecture Data Flow API Design & Communication Protocols Database Design Caching Strategy State Management Performance Optimization Error Handling & Edge Cases Interview Cross-Questions Accessibility (A11y) Mobile & Touch Considerations Comprehensive Testing Strategy Offline Support & PWA Internationalization (i18n) Security Deep Dive Analytics & Observability Attendee & Scheduling Features Reminder & Notification System Virtual Scrolling & Large Datasets 1. Problem Statement & Requirements Functional Requirements Display events for a single day in a time-based grid (24 hours) Create, edit, and delete events via UI Drag and drop events to reschedule Resize events to change duration Handle overlapping events (visual stacking) Support recurring events Show multiple calendars with color coding Real-time collaboration (shared calendars) All-day events section Time zone support Non-Functional Requirements Performance : Render 50+ events without lag Responsiveness : Smooth drag/resize at 60fps Real-time : Updates within 1 second for shared calendars Offline : View and create events offline, sync when online Accessibility : Full keyboard navigation, screen reader support Capacity Estimation Daily Active Users: 500 million Events per user: ~10-20 visible in day view Peak concurrent users: 50 million API calls per day view: 3-5 (events, calendars, settings) Event updates per minute (peak): 10 million Enter fullscreen mode Exit fullscreen mode 2. High-Level Architecture ┌─────────────────────────────────────────────────────────────────────────────┐ │ CLIENT LAYER │ ├─────────────────────────────────────────────────────────────────────────────┤ │ ┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐ │ │ │ Web App │ │ iOS App │ │ Android App │ │ │ │ (React) │ │ (Swift) │ │ (Kotlin) │ │ │ └────────┬────────┘ └────────┬────────┘ └────────┬────────┘ │ │ │ │ │ │ │ └────────────────────┴────────────────────┘ │ │ │ │ └────────────────────────────────┼─────────────────────────────────────────────┘ │ ▼ ┌─────────────────────────────────────────────────────────────────────────────┐ │ CDN (Edge Layer) │ │ • Static assets (JS, CSS, fonts) │ │ • Service Worker for offline │ └────────────────────────────────┬─────────────────────────────────────────────┘ │ ▼ ┌─────────────────────────────────────────────────────────────────────────────┐ │ API Gateway / Load Balancer │ │ • Authentication (OAuth 2.0) │ │ • Rate limiting │ │ • Request routing │ └────────────────────────────────┬─────────────────────────────────────────────┘ │ ┌────────────────────────┼────────────────────────┐ ▼ ▼ ▼ ┌───────────────┐ ┌───────────────┐ ┌───────────────┐ │ Calendar │ │ Event │ │ Notification │ │ Service │ │ Service │ │ Service │ │ │ │ │ │ │ │ • CRUD │ │ • CRUD │ │ • Push │ │ • Sharing │ │ • Recurrence │ │ • Email │ │ • Permissions │ │ • Conflicts │ │ • Reminders │ └───────┬───────┘ └───────┬───────┘ └───────┬───────┘ │ │ │ └──────────────────────┴──────────────────────┘ │ ▼ ┌─────────────────────────────────────────────────────────────────────────────┐ │ Real-time Layer │ │ ┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐ │ │ │ WebSocket │ │ Pub/Sub │ │ Event Queue │ │ │ │ Gateway │ │ (Redis) │ │ (Kafka) │ │ │ └─────────────────┘ └─────────────────┘ └─────────────────┘ │ └────────────────────────────────┬─────────────────────────────────────────────┘ │ ▼ ┌─────────────────────────────────────────────────────────────────────────────┐ │ Data Layer │ │ ┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐ │ │ │ PostgreSQL │ │ Redis │ │ Cassandra │ │ │ │ (Primary) │ │ (Cache) │ │ (Time-series) │ │ │ │ │ │ │ │ │ │ │ │ • Calendars │ │ • Session │ │ • Event logs │ │ │ │ • Events │ │ • Hot events │ │ • Analytics │ │ │ │ • Users │ │ • Permissions │ │ │ │ │ └─────────────────┘ └─────────────────┘ └─────────────────┘ │ └─────────────────────────────────────────────────────────────────────────────┘ Enter fullscreen mode Exit fullscreen mode 3. Component Architecture Frontend Component Hierarchy ┌─────────────────────────────────────────────────────────────────────────────┐ │ CalendarApp │ │ ┌───────────────────────────────────────────────────────────────────────┐ │ │ │ Header │ │ │ │ ┌───────────┐ ┌──────────────┐ ┌──────────────┐ ┌─────────────┐ │ │ │ │ │ Navigation│ │ DatePicker │ │ ViewToggle │ │ UserMenu │ │ │ │ │ │ (< Today >)│ │ (Mini Cal) │ │ (D/W/M/Y) │ │ (Settings) │ │ │ │ │ └───────────┘ └──────────────┘ └──────────────┘ └─────────────┘ │ │ │ └───────────────────────────────────────────────────────────────────────┘ │ │ │ │ ┌───────────────────┬───────────────────────────────────────────────────┐ │ │ │ │ │ │ │ │ Sidebar │ DayView │ │ │ │ ┌─────────────┐ │ ┌──────────────────────────────────────────────┐ │ │ │ │ │ MiniCalendar│ │ │ AllDaySection │ │ │ │ │ │ │ │ │ ┌────────────────────────────────────────┐ │ │ │ │ │ │ ┌─┬─┬─┬─┬─┐ │ │ │ │ AllDayEvent │ AllDayEvent │ │ │ │ │ │ │ │M│T│W│T│F│ │ │ │ └────────────────────────────────────────┘ │ │ │ │ │ │ ├─┼─┼─┼─┼─┤ │ │ └──────────────────────────────────────────────┘ │ │ │ │ │ │1│2│3│4│5│ │ │ │ │ │ │ │ └─┴─┴─┴─┴─┘ │ │ ┌──────────────────────────────────────────────┐ │ │ │ │ └─────────────┘ │ │ TimeGrid │ │ │ │ │ │ │ ┌──────┬─────────────────────────────────┐ │ │ │ │ │ ┌─────────────┐ │ │ │ │ │ │ │ │ │ │ │ CalendarList│ │ │ │ 9 AM │ ┌─────────────────────────┐ │ │ │ │ │ │ │ │ │ │ │ │ │ EventBlock │ │ │ │ │ │ │ │ □ Work │ │ │ ├──────┤ │ (Draggable) │ │ │ │ │ │ │ │ □ Personal │ │ │ │ │ │ (Resizable) │ │ │ │ │ │ │ │ □ Holidays │ │ │ │10 AM │ └─────────────────────────┘ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ │ └─────────────┘ │ │ ├──────┤ ┌──────────┐ ┌──────────┐ │ │ │ │ │ │ │ │ │ │ │ Event 1 │ │ Event 2 │ │ │ │ │ │ │ ┌─────────────┐ │ │ │11 AM │ │(Overlap) │ │(Overlap) │ │ │ │ │ │ │ │ CreateBtn │ │ │ │ │ └──────────┘ └──────────┘ │ │ │ │ │ │ │ [+ Create] │ │ │ ├──────┤ │ │ │ │ │ │ └─────────────┘ │ │ │ │ │ │ │ │ │ │ │ │ │12 PM │ │ │ │ │ │ └───────────────────┤ │ │ │ │ │ │ │ │ │ │ └──────┴─────────────────────────────────┘ │ │ │ │ │ │ │ │ │ │ │ │ ┌──────────────────────────────────────────┐ │ │ │ │ │ │ │ CurrentTimeIndicator │ │ │ │ │ │ │ │ ────────────● (red line) │ │ │ │ │ │ │ └──────────────────────────────────────────┘ │ │ │ │ │ └──────────────────────────────────────────────┘ │ │ │ └───────────────────────────────────────────────────┘ │ │ │ │ ┌───────────────────────────────────────────────────────────────────────┐ │ │ │ EventModal (Overlay) │ │ │ │ ┌───────────────────────────────────────────────────────────────┐ │ │ │ │ │ Title: _______________ │ │ │ │ │ │ Date: [Dec 22] Time: [10:00] - [11:00] │ │ │ │ │ │ Calendar: [Work ▼] │ │ │ │ │ │ Recurrence: [Does not repeat ▼] │ │ │ │ │ │ Location: _______________ │ │ │ │ │ │ Description: _____________ │ │ │ │ │ │ [Save] [Cancel] │ │ │ │ │ └───────────────────────────────────────────────────────────────┘ │ │ │ └───────────────────────────────────────────────────────────────────────┘ │ └─────────────────────────────────────────────────────────────────────────────┘ Enter fullscreen mode Exit fullscreen mode Key Component Responsibilities Component Responsibility TimeGrid 24-hour grid, slot click handling, event positioning EventBlock Render single event, drag/resize handlers AllDaySection Events spanning entire day, expandable CurrentTimeIndicator Red line showing current time, auto-updates EventModal Create/edit form, validation, recurrence rules CalendarList Toggle calendar visibility, color assignment 4. Data Flow Event Creation Flow ┌──────────┐ ┌──────────┐ ┌──────────┐ ┌──────────┐ ┌──────────┐ │ User │ │ UI │ │ State │ │ API │ │ Server │ └────┬─────┘ └────┬─────┘ └────┬─────┘ └────┬─────┘ └────┬─────┘ │ │ │ │ │ │ 1. Click on │ │ │ │ │ time slot │ │ │ │ │───────────────>│ │ │ │ │ │ │ │ │ │ │ 2. Open modal │ │ │ │ │ with time │ │ │ │ │───────────────>│ │ │ │ │ │ │ │ │ 3. Fill event │ │ │ │ │ details │ │ │ │ │───────────────>│ │ │ │ │ │ │ │ │ │ 4. Submit │ │ │ │ │───────────────>│ │ │ │ │ │ │ │ │ │ │ 5. Optimistic │ │ │ │ │ update │ │ │ │ │───────────────>│ │ │ │ │ │ │ │ │ 6. See event │ │ │ │ │<───────────────│ │ │ │ │ immediately │ │ │ │ │ │ │ 7. POST /events│ │ │ │ │───────────────>│ │ │ │ │ │───────────────>│ │ │ │ │ │ │ │ │ │ 8. Validate & │ │ │ │ │ Store │ │ │ │ │<───────────────│ │ │ │ │ │ │ │ │ 9. Confirm │ │ │ │ │<───────────────│ │ │ │ │ │ │ │ │ 10. Update │ │ │ │ │ with ID │ │ │ │ │<───────────────│ │ │ │ │ │ │ │ Enter fullscreen mode Exit fullscreen mode Drag & Drop Flow ┌─────────────────────────────────────────────────────────────────────────────┐ │ DRAG & DROP ARCHITECTURE │ ├─────────────────────────────────────────────────────────────────────────────┤ │ │ │ 1. DRAG START │ │ ───────────── │ │ ┌─────────────────────────────────────────────────────────────────────┐ │ │ │ onDragStart(event) { │ │ │ │ • Store original position │ │ │ │ • Add 'dragging' class (visual feedback) │ │ │ │ • Create ghost element │ │ │ │ • Disable text selection │ │ │ │ } │ │ │ └─────────────────────────────────────────────────────────────────────┘ │ │ │ │ 2. DURING DRAG (throttled to 60fps) │ │ ────────────────────────────────── │ │ ┌─────────────────────────────────────────────────────────────────────┐ │ │ │ onDragMove(x, y) { │ │ │ │ • Calculate new time slot from Y position │ │ │ │ • Snap to 15-minute increments │ │ │ │ • Update ghost element position │ │ │ │ • Highlight target slot │ │ │ │ } │ │ │ │ │ │ │ │ Y Position → Time Calculation: │ │ │ │ ┌────────────────────────────────────────────┐ │ │ │ │ │ time = startOfDay + (y / gridHeight) * 24h│ │ │ │ │ │ snappedTime = roundTo15Min(time) │ │ │ │ │ └────────────────────────────────────────────┘ │ │ │ └─────────────────────────────────────────────────────────────────────┘ │ │ │ │ 3. DRAG END │ │ ─────────── │ │ ┌─────────────────────────────────────────────────────────────────────┐ │ │ │ onDragEnd() { │ │ │ │ • Calculate final position │ │ │ │ • Optimistically update state │ │ │ │ • PATCH /events/:id { start_time, end_time } │ │ │ │ • If fails: revert to original position │ │ │ │ • Remove ghost, restore selection │ │ │ │ } │ │ │ └─────────────────────────────────────────────────────────────────────┘ │ │ │ │ 4. RESIZE (similar pattern) │ │ ────────────────────────── │ │ ┌─────────────────────────────────────────────────────────────────────┐ │ │ │ • Resize handle at bottom of event │ │ │ │ • Only changes end_time (not start_time) │ │ │ │ • Minimum duration: 15 minutes │ │ │ │ • Maximum: end of day (unless multi-day) │ │ │ └─────────────────────────────────────────────────────────────────────┘ │ │ │ └─────────────────────────────────────────────────────────────────────────────┘ Enter fullscreen mode Exit fullscreen mode Real-time Sync Flow ┌─────────────────────────────────────────────────────────────────────────────┐ │ REAL-TIME SYNC (WebSocket) │ ├─────────────────────────────────────────────────────────────────────────────┤ │ │ │ User A (Editor) Server User B (Viewer) │ │ ─────────────── ────── ───────────────── │ │ │ │ │ │ │ 1. Create event │ │ │ │ │ │ │ │ │ ──────┼─── POST /events ───────>│ │ │ │ │ │ │ │ │ │ 2. Store event │ │ │ │ 3. Publish to channel │ │ │ │ │ │ │ │ │ │──── WS: event_created ──│──────────────>│ │ │ │ { event: {...} } │ │ │ │ │ │ │ │ │ │ 4. Receive event │ │ │ │ 5. Add to state │ │ │ │ 6. Re-render │ │ │ │ │ │ │ │ │ Channel Structure: │ │ ┌─────────────────────────────────────────────────────────────────────┐ │ │ │ channel: "calendar:{calendar_id}" │ │ │ │ │ │ │ │ Events: │ │ │ │ • event_created { event: {...}, user_id: "..." } │ │ │ │ • event_updated { event: {...}, user_id: "..." } │ │ │ │ • event_deleted { event_id: "...", user_id: "..." } │ │ │ │ • event_moved { event_id, old_time, new_time } │ │ │ └─────────────────────────────────────────────────────────────────────┘ │ │ │ │ Conflict Resolution: │ │ ┌─────────────────────────────────────────────────────────────────────┐ │ │ │ • Last-write-wins for most updates │ │ │ │ • Version numbers for conflict detection │ │ │ │ • If conflict: show dialog "Event was modified by [User]" │ │ │ │ • Options: Keep mine / Keep theirs / Merge │ │ │ └─────────────────────────────────────────────────────────────────────┘ │ │ │ └─────────────────────────────────────────────────────────────────────────────┘ Enter fullscreen mode Exit fullscreen mode 5. API Design & Communication Protocols Protocol Selection ┌─────────────────────────────────────────────────────────────────────────────┐ │ PROTOCOL COMPARISON FOR CALENDAR │ ├─────────────────┬───────────────┬───────────────┬───────────────────────────┤ │ Protocol │ Pros │ Cons │ Use Case │ ├─────────────────┼───────────────┼───────────────┼───────────────────────────┤ │ │ • Cacheable │ • Multiple │ • Initial data fetch │ │ REST │ • Simple │ round trips │ • CRUD operations │ │ │ • Stateless │ • No real-time│ • ✅ PRIMARY for data │ ├─────────────────┼───────────────┼───────────────┼───────────────────────────┤ │ │ • Single req │ • Not cache- │ • Fetch day/week view │ │ GraphQL │ for complex │ able at CDN │ with nested data │ │ │ queries │ • Overkill for│ • Mobile apps (bandwidth) │ │ │ │ simple CRUD │ │ ├─────────────────┼───────────────┼───────────────┼───────────────────────────┤ │ │ • Bi-direct │ • Connection │ • ✅ REAL-TIME updates │ │ WebSocket │ • Real-time │ overhead │ • Shared calendar sync │ │ │ • Low latency │ • Scaling │ • Collaborative editing │ │ │ │ complexity │ │ ├─────────────────┼───────────────┼───────────────┼───────────────────────────┤ │ │ • Server push │ • One-way │ • Notifications only │ │ SSE │ • Simple │ only │ • Less ideal than WS │ │ │ • Auto-recon │ │ for calendar │ ├─────────────────┼───────────────┼───────────────┼───────────────────────────┤ │ │ • Efficient │ • No browser │ • Service-to-service │ │ gRPC │ • Streaming │ support │ • Backend sync │ │ │ • Type-safe │ │ • NOT for frontend │ └─────────────────┴───────────────┴───────────────┴───────────────────────────┘ Enter fullscreen mode Exit fullscreen mode Why WebSocket for Calendar (Not Long Polling) ┌─────────────────────────────────────────────────────────────────────────────┐ │ WEBSOCKET vs LONG POLLING FOR CALENDAR │ ├─────────────────────────────────────────────────────────────────────────────┤ │ │ │ Scenario: 10 users viewing same shared calendar │ │ │ │ LONG POLLING: │ │ ───────────── │ │ Client A ───────> Request ───────> Server (hold 30s) │ │ Client B ───────> Request ───────> Server (hold 30s) │ │ Client C ───────> Request ───────> Server (hold 30s) │ │ ... │ │ │ │ Problem: 10 open connections, each reconnecting every 30s │ │ Event happens → 10 separate responses needed │ │ 30s max delay for updates │ │ │ │ WEBSOCKET: │ │ ────────── │ │ Client A <────────────────────────┐ │ │ Client B <────────────────────────┼───── Single broadcast │ │ Client C <────────────────────────┘ (via Pub/Sub) │ │ │ │ Benefits: │ │ • Single persistent connection per client │ │ • Instant updates (< 100ms latency) │ │ • Efficient broadcast via Redis Pub/Sub │ │ • Bi-directional (client can send too) │ │ │ │ Recommendation: WebSocket for Calendar │ │ ──────────────────────────────────── │ │ • Collaborative nature requires real-time │ │ • Bi-directional needed (create, update, delete) │ │ • Users expect instant sync │ │ │ └─────────────────────────────────────────────────────────────────────────────┘ Enter fullscreen mode Exit fullscreen mode REST API Endpoints ┌─────────────────────────────────────────────────────────────────────────────┐ │ REST API DESIGN │ ├─────────────────────────────────────────────────────────────────────────────┤ │ │ │ EVENTS │ │ ────── │ │ GET /api/v1/events │ │ ?start_date=2024-12-22&end_date=2024-12-22 │ │ &calendars[]=work&calendars[]=personal │ │ &timezone=America/Los_Angeles │ │ │ │ Response: │ │ { │ │ "events": [ │ │ { │ │ "id": "evt_123", │ │ "title": "Team Standup", │ │ "start": "2024-12-22T09:00:00Z", │ │ "end": "2024-12-22T09:30:00Z", │ │ "calendar_id": "cal_work", │ │ "color": "#4285f4", │ │ "recurrence": null, │ │ "all_day": false, │ │ "location": "Zoom", │ │ "attendees": [...] │ │ } │ │ ], │ │ "recurring_events": [...], // Expanded instances │ │ "sync_token": "abc123" // For incremental sync │ │ } │ │ │ │ POST /api/v1/events │ │ Body: { title, start, end, calendar_id, recurrence?, ... } │ │ │ │ PATCH /api/v1/events/:id │ │ Body: { start?, end?, title?, ... } │ │ Query: ?update_type=this|following|all (for recurring) │ │ │ │ DELETE /api/v1/events/:id │ │ Query: ?delete_type=this|following|all (for recurring) │ │ │ │ CALENDARS │ │ ───────── │ │ GET /api/v1/calendars │ │ POST /api/v1/calendars │ │ PATCH /api/v1/calendars/:id │ │ DELETE /api/v1/calendars/:id │ │ │ │ SHARING │ │ ─────── │ │ POST /api/v1/calendars/:id/share │ │ Body: { email, permission: "read" | "write" | "admin" } │ │ │ │ GET /api/v1/calendars/:id/permissions │ │ │ └─────────────────────────────────────────────────────────────────────────────┘ Enter fullscreen mode Exit fullscreen mode WebSocket Events ┌─────────────────────────────────────────────────────────────────────────────┐ │ WEBSOCKET EVENT SCHEMA │ ├─────────────────────────────────────────────────────────────────────────────┤ │ │ │ Connection: │ │ ─────────── │ │ ws://api.calendar.com/realtime?token=JWT&calendars=cal1,cal2,cal3 │ │ │ │ Client → Server Messages: │ │ ───────────────────────── │ │ { │ │ "type": "subscribe", │ │ "calendars": ["cal_123", "cal_456"] │ │ } │ │ │ │ { │ │ "type": "unsubscribe", │ │ "calendars": ["cal_123"] │ │ } │ │ │ │ { │ │ "type": "ping" // Keep-alive every 30s │ │ } │ │ │ │ Server → Client Messages: │ │ ───────────────────────── │ │ { │ │ "type": "event_created", │ │ "calendar_id": "cal_123", │ │ "event": { ... full event object ... }, │ │ "actor": { "id": "user_456", "name": "John" } │ │ } │ │ │ │ { │ │ "type": "event_updated", │ │ "calendar_id": "cal_123", │ │ "event_id": "evt_789", │ │ "changes": { │ │ "start": { "old": "...", "new": "..." }, │ │ "title": { "old": "...", "new": "..." } │ │ }, │ │ "version": 5, │ │ "actor": { ... } │ │ } │ │ │ │ { │ │ "type": "event_deleted", │ │ "calendar_id": "cal_123", │ │ "event_id": "evt_789", │ │ "actor": { ... } │ │ } │ │ │ │ { │ │ "type": "pong" │ │ } │ │ │ └─────────────────────────────────────────────────────────────────────────────┘ Enter fullscreen mode Exit fullscreen mode 6. Database Design SQL vs NoSQL Decision ┌─────────────────────────────────────────────────────────────────────────────┐ │ DATABASE CHOICE RATIONALE │ ├─────────────────────────────────────────────────────────────────────────────┤ │ │ │ ┌─────────────────────────────────────────────────────────────────────┐ │ │ │ PostgreSQL (Primary) │ │ │ │ │ │ │ │ USE FOR: │ │ │ │ • Calendars (ACID for ownership, sharing) │ │ │ │ • Events (ACID for scheduling, consistency) │ │ │ │ • Users (authentication, profiles) │ │ │ │ • Sharing permissions │ │ │ │ │ │ │ │ WHY SQL: │ │ │ │ • Strong consistency (can't double-book) │ │ │ │ • Complex queries (overlapping events) │ │ │ │ • Range queries on timestamps │ │ │ │ • Transactions for recurring event operations │ │ │ │ • Foreign key relationships │ │ │ └─────────────────────────────────────────────────────────────────────┘ │ │ │ │ ┌─────────────────────────────────────────────────────────────────────┐ │ │ │ Redis (Cache + Pub/Sub) │ │ │ │ │ │ │ │ USE FOR: │ │ │ │ • Event cache by date range │ │ │ │ • Real-time pub/sub for WebSocket │ │ │ │ • Session storage │ │ │ │ • Rate limiting │ │ │ │ • Distributed locks (for recurring event updates) │ │ │ │ │ │ │ │ Cache Keys: │ │ │ │ • events:user:{user_id}:date:{date} → [event_ids] │ │ │ │ • event:{event_id} → {event_data} │ │ │ │ • calendar:{calendar_id}:permissions → {user_permissions} │ │ │ └─────────────────────────────────────────────────────────────────────┘ │ │ │ │ ┌─────────────────────────────────────────────────────────────────────┐ │ │ │ Cassandra (Optional - Analytics) │ │ │ │ │ │ │ │ USE FOR: │ │ │ │ • Event logs (who viewed, edited) │ │ │ │ • Time-series analytics │ │ │ │ • Audit trail │ │ │ │ │ │ │ │ WHY Cassandra: │ │ │ │ • High write throughput │ │ │ │ • Time-based partitioning │ │ │ │ • Horizontal scaling │ │ │ └─────────────────────────────────────────────────────────────────────┘ │ │ │ └─────────────────────────────────────────────────────────────────────────────┘ Enter fullscreen mode Exit fullscreen mode Database Schema ┌─────────────────────────────────────────────────────────────────────────────┐ │ PostgreSQL Schema │ ├─────────────────────────────────────────────────────────────────────────────┤ │ │ │ users │ │ ├── id (UUID, PK) │ │ ├── email (VARCHAR, UNIQUE) │ │ ├── name (VARCHAR) │ │ ├── timezone (VARCHAR) -- e.g., "America/New_York" │ │ ├── settings (JSONB) │ │ ├── created_at (TIMESTAMP) │ │ └── updated_at (TIMESTAMP) │ │ │ │ calendars │ │ ├── id (UUID, PK) │ │ ├── owner_id (UUID, FK → users) │ │ ├── name (VARCHAR) │ │ ├── color (VARCHAR) -- hex code │ │ ├── visibility (ENUM: private, public) │ │ ├── created_at (TIMESTAMP) │ │ └── updated_at (TIMESTAMP) │ │ │ │ calendar_shares │ │ ├── id (UUID, PK) │ │ ├── calendar_id (UUID, FK → calendars) │ │ ├── user_id (UUID, FK → users) │ │ ├── permission (ENUM: read, write, admin) │ │ └── created_at (TIMESTAMP) │ │ │ │ events │ │ ├── id (UUID, PK) │ │ ├── calendar_id (UUID, FK → calendars) │ │ ├── title (VARCHAR) │ │ ├── description (TEXT) │ │ ├── location (VARCHAR) │ │ ├── start_time (TIMESTAMPTZ) │ │ ├── end_time (TIMESTAMPTZ) │ │ ├── all_day (BOOLEAN) │ │ ├── recurrence_rule (VARCHAR) -- RFC 5545 RRULE │ │ ├── recurrence_id (UUID, FK → events) -- parent recurring event │ │ ├── original_start (TIMESTAMPTZ) -- for exceptions │ │ ├── status (ENUM: confirmed, tentative, cancelled) │ │ ├── version (INT) -- optimistic locking │ │ ├── created_by (UUID, FK → users) │ │ ├── created_at (TIMESTAMP) │ │ └── updated_at (TIMESTAMP) │ │ │ │ Indexes: │ │ • (calendar_id, start_time, end_time) -- range queries │ │ • (recurrence_id) -- find all instances │ │ • GiST index on tstzrange(start_time, end_time) -- overlap detection │ │ │ │ Overlap Detection Query: │ │ ┌─────────────────────────────────────────────────────────────────────┐ │ │ │ SELECT * FROM events │ │ │ │ WHERE calendar_id = $1 │ │ │ │ AND tstzrange(start_time, end_time) && │ │ │ │ tstzrange($2, $3) -- overlaps operator │ │ │ └─────────────────────────────────────────────────────────────────────┘ │ │ │ └─────────────────────────────────────────────────────────────────────────────┘ Enter fullscreen mode Exit fullscreen mode Recurring Events Handling ┌─────────────────────────────────────────────────────────────────────────────┐ │ RECURRING EVENTS STRATEGY │ ├─────────────────────────────────────────────────────────────────────────────┤ │ │ │ Two Approaches: │ │ │ │ 1. STORE ALL INSTANCES (Materialized) │ │ ───────────────────────────────────── │ │ • Create row for each occurrence │ │ • Easy queries, but: │ │ - Huge storage for "every day forever" │ │ - Expensive to update all instances │ │ │ │ 2. STORE RULE + EXPAND (Virtual) ✅ RECOMMENDED │ │ ────────────────────────────────────────────── │ │ • Store RRULE: "FREQ=WEEKLY;BYDAY=MO,WE,FR" │ │ • Expand on read within date range │ │ • Store exceptions separately │ │ │ │ Implementation: │ │ ┌─────────────────────────────────────────────────────────────────────┐ │ │ │ │ │ │ │ events (master recurring event) │ │ │ │ ├── id: "evt_master_123" │ │ │ │ ├── title: "Team Standup" │ │ │ │ ├── start_time: "2024-01-01T09:00:00Z" │ │ │ │ ├── end_time: "2024-01-01T09:30:00Z" │ │ │ │ ├── recurrence_rule: "FREQ=WEEKLY;BYDAY=MO,TU,WE,TH,FR" │ │ │ │ └── recurrence_id: NULL (this is the master) │ │ │ │ │ │ │ │ events (exception - modified instance) │ │ │ │ ├── id: "evt_exception_456" │ │ │ │ ├── title: "Team Standup - Special Topic" │ │ │ │ ├── start_time: "2024-01-15T10:00:00Z" (changed time) │ │ │ │ ├── recurrence_id: "evt_master_123" │ │ │ │ └── original_start: "2024-01-15T09:00:00Z" │ │ │ │ │ │ │ │ events (exception - deleted instance) │ │ │ │ ├── id: "evt_exception_789" │ │ │ │ ├── status: "cancelled" │ │ │ │ ├── recurrence_id: "evt_master_123" │ │ │ │ └── original_start: "2024-01-22T09:00:00Z" │ │ │ │ │ │ │ └─────────────────────────────────────────────────────────────────────┘ │ │ │ │ Query Flow: │ │ ─────────── │ │ 1. Fetch master recurring events in date range │ │ 2. Expand RRULE to get virtual instances │ │ 3. Fetch exceptions for those masters │ │ 4. Merge: replace virtual with exceptions, remove cancelled │ │ │ │ Library: rrule.js (frontend), dateutil (Python), rrule (Ruby) │ │ │ └─────────────────────────────────────────────────────────────────────────────┘ Enter fullscreen mode Exit fullscreen mode 7. Caching Strategy Multi-Layer Cache ┌─────────────────────────────────────────────────────────────────────────────┐ │ CACHING ARCHITECTURE │ ├─────────────────────────────────────────────────────────────────────────────┤ │ │ │ LAYER 1: In-Memory (React Query) │ │ ───────────────────────────────── │ │ ┌─────────────────────────────────────────────────────────────────────┐ │ │ │ Cache Key Structure: │ │ │ │ • ['events', { date: '2024-12-22', calendars: [...] }] │ │ │ │ • ['event', eventId] │ │ │ │ • ['calendars', userId] │ │ │ │ │ │ │ │ Configuration: │ │ │ │ • staleTime: 30 seconds (refetch if older) │ │ │ │ • cacheTime: 5 minutes (keep in memory) │ │ │ │ • refetchOnMount: false (trust cache) │ │ │ │ • refetchOnWindowFocus: true (sync on return) │ │ │ └─────────────────────────────────────────────────────────────────────┘ │ │ │ │ LAYER 2: Service Worker (Offline) │ │ ───────────────────────────────── │ │ ┌─────────────────────────────────────────────────────────────────────┐ │ │ │ Strategy: Stale-While-Revalidate │ │ │ │ │ │ │ │ 1. Return cached response immediately │ │ │ │ 2. Fetch fresh data in background │ │ │ │ 3. Update cache for next request │ │ │ │ │ │ │ │ Cached: │ │ │ │ • Static assets (JS, CSS, fonts) � | 2026-01-13T08:49:31 |
https://dev.to/cygnetone/how-cloud-engineering-improves-scalability-security-and-performance-3jp3 | How Cloud Engineering Improves Scalability, Security, and Performance - 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 Cygnet.One Posted on Jan 7 How Cloud Engineering Improves Scalability, Security, and Performance # architecture # cloud # performance # security A few years ago, a sudden traffic spike was something teams feared. Today, it is something businesses expect . A marketing campaign goes viral overnight. A fintech app sees double the transaction volume in a single weekend. A SaaS platform expands into two new regions in one quarter. Growth is no longer linear, and infrastructure that assumes predictability breaks under pressure. At the same time, security threats have evolved. Breaches are no longer rare events reported in headlines. They are daily realities. Attack surfaces are larger. Compliance expectations are stricter. Customers are less forgiving. A slow app or a brief outage can undo years of trust in minutes. This is where many organizations discover an uncomfortable truth. Traditional infrastructure and basic lift and shift cloud approaches were never designed for this level of volatility. They move workloads, but they do not fundamentally change how systems behave under stress. Cloud engineering emerged to close this gap. It is not about moving servers from a data center to the cloud. It is about intentionally designing systems that scale when demand spikes, defend themselves when threats appear, and perform consistently even as complexity grows. Cloud engineering treats scalability, security, and performance as defaults, not afterthoughts. Organizations that embrace this mindset do more than survive change. They turn it into an advantage. What Is Cloud Engineering? And Why It’s Not Just Cloud Migration Before we talk about outcomes, we need to clear up a common misconception. Many leaders still use cloud engineering and cloud migration interchangeably. They are not the same thing. Definition of Cloud Engineering Cloud engineering is a discipline focused on architecting, building, automating, securing, and continuously optimizing cloud systems. It sits at the intersection of several practices. Architecture defines how systems are structured. DevOps enables rapid and reliable delivery. Security ensures protection and compliance. Operations keep everything observable and resilient. Cloud engineering brings all of these together into one coherent approach. The goal is simple but ambitious. Build systems that work with the cloud’s strengths instead of fighting them. Cloud Engineering vs Traditional IT and Basic Cloud Adoption The easiest way to understand the difference is to look at how each approach handles change. Traditional IT environments are built around fixed capacity. Infrastructure is sized for peak demand and sits idle most of the time. Operations are manual and reactive. Security relies on perimeter defenses that assume everything inside is trusted. Basic cloud migration improves flexibility but often stops short. Workloads are lifted and shifted with minimal redesign. Some automation exists, but observability is limited. Security controls are bolted on rather than embedded. Cloud engineering takes a different path entirely. Instead of fixed capacity, it uses elastic, cloud native systems that scale automatically. Instead of manual operations, it relies on full automation and deep observability. Instead of perimeter based security, it adopts zero trust principles where every request is verified. The difference is not subtle. It shows up in uptime, cost efficiency, and the speed at which teams can respond to change. Core Pillars of Cloud Engineering While implementations vary, most successful cloud engineering programs rest on a few consistent pillars. Cloud native architecture is the foundation. Applications are designed to be modular, resilient, and scalable by default. Automation and Infrastructure as Code replace manual provisioning. Environments become reproducible and predictable. DevOps and CI/CD pipelines ensure that changes flow safely and quickly from code to production. Security and governance are built into the pipeline, not added at the end. Continuous optimization ensures that systems evolve as usage patterns and business needs change. Together, these pillars transform the cloud from a hosting environment into a strategic platform. How Cloud Engineering Improves Scalability Scalability is often the first promise of the cloud. It is also the first promise many organizations fail to realize fully. Elastic Infrastructure by Design True scalability starts with infrastructure that adapts automatically. Cloud engineering embraces auto scaling across compute, storage, and networking. Systems scale out when demand increases and scale back when it drops. Horizontal scaling adds capacity by adding instances. Vertical scaling increases the power of existing resources. The right mix depends on workload characteristics. What matters is that scaling decisions are driven by real metrics, not human intervention. When traffic spikes at midnight, systems respond instantly. No one has to wake up and provision servers. Cloud Native Architectures That Scale Effortlessly Architecture plays a critical role in scalability. Monolithic applications can scale, but they do so inefficiently. Every increase in demand requires scaling the entire system, even if only one component is under stress. Cloud engineering favors microservices, where individual services scale independently. Containers and orchestration platforms make it possible to deploy and manage these services at scale. Event driven and serverless models push scalability even further by reacting to events rather than maintaining idle capacity. The result is not just technical elegance. It is business resilience. Global Scalability and High Availability Growth rarely stays confined to one region. Cloud engineering enables multi region deployments that bring applications closer to users. Load balancing and intelligent traffic routing ensure that users are directed to the healthiest and nearest endpoints. Fault isolation patterns prevent localized failures from cascading across the system. This is how global platforms deliver consistent experiences across continents. Business Impact of Scalable Cloud Engineering From a business perspective, the benefits are tangible. Organizations handle peak demand without overprovisioning. Market expansion becomes faster and less risky. Customers experience consistent performance even during high traffic events. Scalability stops being a constraint and becomes a growth enabler. How Cloud Engineering Strengthens Security Security is often framed as a tradeoff. More protection means more friction. Cloud engineering challenges that assumption. Security by Design Cloud Architectures In cloud engineered systems, security starts at the architectural level. Zero trust principles assume no implicit trust. Every request is authenticated and authorized. Identity becomes the primary security perimeter. Access is granted based on least privilege, reducing the blast radius of potential compromises. This approach aligns with modern threat models where breaches are expected and systems are designed to contain them. Automated Security Controls and Governance Manual security processes do not scale. Cloud engineering replaces them with policy as code. Security rules are defined, versioned, and enforced automatically. Continuous compliance monitoring detects drift in real time. Automated patching and vulnerability management reduce exposure windows. Security becomes part of the delivery pipeline rather than a gate that slows it down. Data Protection and Regulatory Compliance Data is the most valuable asset for most organizations. Cloud engineering ensures encryption at rest and in transit by default. Secure key management protects sensitive information. Architectures are aligned with regulatory standards such as ISO, SOC 2, HIPAA, and PCI DSS. Compliance shifts from a periodic audit exercise to a continuous state. Reduced Risk Through Observability and Incident Response Visibility is a form of security. Real time monitoring and alerts surface anomalies early. Automated remediation handles known failure patterns before they escalate. When incidents do occur, detection and containment happen faster. This is how organizations reduce both the likelihood and impact of security events. How Cloud Engineering Optimizes Performance Performance is not just about speed. It is about consistency, reliability, and efficiency. Performance Optimized Architecture Design Cloud engineering emphasizes right sizing resources. Compute and storage are selected based on workload characteristics, not assumptions. Databases are chosen for access patterns and latency requirements. Network design minimizes hops and reduces latency. These decisions compound over time, delivering smoother user experiences. Continuous Performance Monitoring and Optimization What you cannot measure, you cannot improve. Application and infrastructure observability provide deep insights into system behavior. Proactive performance tuning addresses issues before users notice them. Load testing and stress testing validate assumptions under real world conditions. Performance becomes a managed discipline, not a reactive scramble. DevOps and CI/CD for Faster, More Reliable Releases Frequent changes are a reality of modern software. Cloud engineering integrates automated testing and deployments to reduce risk. Releases happen with minimal downtime. Rollbacks are safe and fast. Teams ship features faster without sacrificing stability. This balance is what separates high performing engineering organizations from the rest. Cost Performance Balance and FinOps Alignment Performance gains do not have to mean runaway costs. Cloud engineering aligns with FinOps principles to avoid overprovisioning. Pay for what you use models are enforced through automation. Performance improvements are evaluated alongside cost impact. The result is efficiency that scales with growth. The Combined Impact: Scalability, Security, and Performance Working Together These dimensions do not exist in isolation. Scalable systems must be secure. Secure systems must perform. Cloud engineering aligns all three through intentional design and automation. Consider an e commerce platform scaling during peak seasons. Auto scaling handles traffic spikes. Built in security protects transactions. Optimized performance ensures fast checkouts. Or a financial services platform processing high volume transactions. Scalability absorbs demand. Security enforces compliance. Performance maintains low latency. Or a SaaS product expanding globally. Multi region deployments scale reach. Zero trust security protects data. Observability ensures consistent performance. This synergy is where cloud engineering delivers its greatest value. Common Challenges Without Proper Cloud Engineering Organizations that adopt the cloud without engineering rigor often encounter the same problems. Cloud costs spiral without clear visibility. Security misconfigurations expose sensitive data. Performance bottlenecks frustrate users. Operational complexity increases instead of decreasing. Tool sprawl makes governance difficult. Being cloud first is not the same as being cloud engineered. The difference shows up in outcomes. When Should Organizations Invest in Cloud Engineering? Most companies don’t wake up one morning and decide they need cloud engineering. The need shows up gradually, often disguised as “growing pains” or “temporary issues” that never quite go away. One clear signal is rapid growth paired with unpredictability. If traffic spikes feel stressful instead of exciting, or if your team is constantly reacting to load issues, scaling limits, or last minute fixes, your systems are already telling you something. Growth without engineered scalability eventually becomes a liability. Another common trigger is legacy modernization. Moving old applications into the cloud is relatively easy. Making them reliable, secure, and cost efficient in the long run is not. This is often where organizations realize that migration alone does not deliver the outcomes they expected and that structured cloud engineering services are needed to redesign how those systems actually operate. Compliance heavy environments face this moment even sooner. As regulations tighten and audits become more frequent, manual controls and fragmented security measures start to crack. Engineering security and governance into the cloud from the start becomes far less risky than trying to retrofit it later. Performance and uptime issues are another strong indicator. If slow releases, recurring outages, or degraded user experiences are becoming normal, the problem is rarely just tooling. It is usually architectural. Cloud engineering addresses performance at the system level, not just at the infrastructure layer. Finally, rising cloud spend without a clear return is often the loudest alarm. When costs go up but agility, speed, and reliability do not, it signals a lack of optimization and visibility. At this stage, investing in cloud engineering services is less about innovation and more about regaining control. In short, organizations should invest in cloud engineering when the cloud stops feeling like an advantage and starts feeling complex, expensive, or fragile. That moment is not a failure. It is simply the point where intentional engineering becomes essential. Best Practices for Implementing Cloud Engineering Successfully Start with a Cloud Engineering Strategy Successful programs align architecture with business goals. Scalability, security, and performance KPIs are defined upfront. Technology decisions support measurable outcomes. Adopt Automation and DevOps Early Infrastructure as Code, CI/CD pipelines, and automated monitoring create consistency and speed. Manual processes are replaced with repeatable workflows. Build Governance Without Slowing Innovation Effective governance provides guardrails, not gates. Security and compliance are embedded into pipelines, allowing teams to move fast safely. Partner with Cloud Engineering Experts Experience matters. The right partners accelerate transformation, avoid costly design mistakes, and ensure long term optimization. Conclusion: Cloud Engineering as a Competitive Advantage Cloud engineering is no longer optional for modern enterprises. It is the foundation on which scalable growth, robust security, and high performance are built. Organizations that engineer the cloud rather than simply adopt it gain agility. They respond faster to change. They operate with confidence under pressure. They achieve sustainable ROI from their cloud investments. 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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Location 125 Village Blvd, 3rd Floor, Suite 315, Princeton Forrestal Village NJ, United States, 08540 Joined Dec 23, 2025 More from Cygnet.One Designing Secure-by-Design Cloud Platforms for Regulated Industries # architecture # cloud # security How Cloud-Native Architecture Enables Faster Innovation # architecture # cloud # devops Best Practices for Securing Cloud Infrastructure in Enterprise Environments # architecture # cloud # security 💎 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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YouTube Golf YouTube Golf YouTube Golf Follow Jul 8 '25 Bryan Bros Golf: We Flew To Germany For Golf Match! # golf # dpworldtour # roundrecap # launchmonitors Comments Add Comment 1 min read Rick Shiels Golf: Can Bad golfer CHEATING Beat Tour Pro? YouTube Golf YouTube Golf YouTube Golf Follow Jul 8 '25 Rick Shiels Golf: Can Bad golfer CHEATING Beat Tour Pro? # golfyoutube # roundrecap # dpworldtour # livgolf Comments Add Comment 1 min read Rick Shiels Golf: Can Bad golfer CHEATING Beat Tour Pro? YouTube Golf YouTube Golf YouTube Golf Follow Jul 7 '25 Rick Shiels Golf: Can Bad golfer CHEATING Beat Tour Pro? # roundrecap # golfyoutube # livgolf # dpworldtour Comments Add Comment 1 min read Peter Finch Golf: I take on the best 50 PGA Pros for £100,000 (My Best Round Of The Year!) 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https://docs.github.com/en/get-started/git-basics/set-up-git | Set up Git - 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 Get started / Git basics / Set up Git Home Get started Start your journey About GitHub and Git Create an account Hello World Set up your profile Find inspiration Download files Upload a project Learning resources Onboarding Getting started with your GitHub account Getting started with GitHub Team Getting started with the GitHub Enterprise Cloud trial Getting started with GitHub Enterprise Cloud Using GitHub GitHub flow Connecting to GitHub Communicating on GitHub Feature preview Supported browsers GitHub Mobile Allow network access Connectivity problems Learning about GitHub GitHub’s plans GitHub language support Types of GitHub accounts Access permissions GitHub Advanced Security Changes to GitHub plans GitHub glossary Learn to code Get started with Git Finding example code Reuse people's code Set up Copilot for learning Local development Debug with Copilot Storing secrets safely Getting feedback on your code Secure your code Secure your dependencies Accessibility Manage theme settings Keyboard shortcuts GitHub Command Palette Writing on GitHub Start writing on GitHub Quickstart About writing & formatting Basic formatting syntax Work with advanced formatting Organized data with tables Collapsed sections Create code blocks Create diagrams Mathematical expressions Auto linked references Attaching files About tasklists Permanent links to code Using keywords in issues and pull requests Work with saved replies About saved replies Creating a saved reply Editing a saved reply Deleting a saved reply Using saved replies Share content with gists Creating gists Forking and cloning gists Saving gists with stars Moderating gist comments Explore projects Finding open source projects Contribute to open source Use Copilot to explore projects Contribute to a project Save repositories with stars Following people Following organizations Git basics Set up Git Set your username Caching credentials Repeated credential prompts macOS Keychain credentials Git workflows About remote repositories Manage remote repositories Associate text editors Handle line endings Ignoring files Git cheatsheet Using Git About Git Push commits to a remote Get changes from a remote Non-fast-forward error Splitting a subfolder About Git subtree merges About Git rebase Git rebase Resolve conflicts after rebase Special characters in names Maximum push limit Archive account and public repos Request account archive GitHub Archive program Using GitHub Docs Docs versions Hover cards GitHub Certifications About GitHub Certifications Registering for an exam Get started / Git basics / Set up Git Set up Git At the heart of GitHub is an open-source version control system (VCS) called Git. Git is responsible for everything GitHub-related that happens locally on your computer. View page as Markdown In this article Using Git Setting up Git Authenticating with GitHub from Git Next steps Using Git To use Git on the command line, you will need to download, install, and configure Git on your computer. You can also install GitHub CLI to use GitHub from the command line. For more information, see About GitHub CLI . If you want to work with Git locally, but do not want to use the command line, you can download and install the GitHub Desktop client. For more information, see About GitHub Desktop . If you do not need to work with files locally, GitHub lets you complete many Git-related actions directly in the browser, including: Quickstart for repositories Fork a repository Managing files Setting up Git Download and install the latest version of Git . Note Most Chrome OS devices from 2020 onwards now have a built-in Linux environment, which includes Git. 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Connecting over SSH If you clone with SSH, you must generate SSH keys on each computer you use to push or pull from GitHub. For more information, see About remote repositories and Generating a new SSH key and adding it to the ssh-agent . Next steps You now have Git and GitHub all set up. You may now choose to create a repository where you can put your projects. Saving your code in a repository allows you to back up your code and share it around the world. Creating a repository for your project allows you to store code in GitHub. This provides a backup of your work that you can choose to share with other developers. For more information, see Quickstart for repositories . Forking a repository will allow you to make changes to another repository without affecting the original. For more information, see Fork a repository . Each repository on GitHub is owned by a person or an organization. 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https://dev.to/challenges/brightdata-n8n-2025-08-13#main-content | Real-Time AI Agents powered by n8n and Bright Data - DEV 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 Challenges > Real-Time AI Agents powered by n8n and Bright Data CHALLENGE RESULTS 🏆 Winners Announced! 🎊 Congrats to the Winners of the Real-Time AI Agents Challenge powered by n8n and Bright Data! Read Announcement Challenge ends soon! Submit your entry now DAYS : HOURS : MINUTES : SECONDS See prompts Real-Time AI Agents powered by n8n and Bright Data View Entries Please sign in to follow this challenge Give your AI agents the power of real-time web data! Challenge Status: Ended Ended Join our next Challenge We're thrilled to partner with n8n and Bright Data to bring the community a brand new challenge! Running through August 31 , the Real-Time AI Agents Challenge powered by n8n and Bright Data invites you to build AI Agents using cutting-edge tools that are reshaping how AI agents access and process data. ✨ Join us on August 19 at 12pm ET for a special livestream right on the DEV homepage. Our co-founder @peter will be walking through the tools for this challenge with the n8n and Bright Data teams! For anyone that can't make it, we'll make sure to include the video in our resource section below. ✨ Building with n8n's automation platform combined with Bright Data's web data infrastructure truly puts you at the forefront of AI agent development. We have one prompt for this challenge with five chances to win, we hope you give it a try! Key Dates Contest start: August 13, 2025 Submissions due: August 31, 2025 Winners announced: September 11, 2025 Badge Rewards Real-Time AI Agents Challenge Completion Badge Real-Time AI Agents Challenge Winner Badge Find Out More Ask questions and share your ideas on the Real-Time AI Agents powered by n8n and Bright Data Launch Post. View Launch Post Sponsored by n8n n8n is the automation platform built for developers and technical teams. It lets users build useful, multi-step workflows using AI and 1000+ integrations—from Slack to Postgres to OpenAI. Whether self-hosted or in the cloud, n8n gives full control over data and logic while blending low-code ease with full-code power. With 120k+ GitHub stars and a vibrant global community, n8n is the trusted path for bringing AI agents and internal automations into production. Learn More → Sponsored by Bright Data Bright Data is the global leader in limitless web data infrastructure for AI & BI. Their platform enables users to discover, access, extract, and interact with any public website delivering structured, reliable, real-time or historical data at petabyte scale. Whether you're building a single agent or a full-scale AI pipeline, Bright Data ensures your models, workflows, and business intelligence systems are powered by the freshest, most flexible data available. Learn More → Challenge Prompt Unstoppable Workflow Build an unstoppable workflow with n8n that leverages Bright Data's n8n Verified Node to create something truly useful, complex, and creative. Your agent should demonstrate how adding real-time web data helps enhance what AI can accomplish. How to Submit In order to participate, you will need to publish a post using the submission template below. All projects must: Use n8n's AI Agent node with Bright Data's verified node Be publicly accessible via n8n's chat interface or another interaction layer, OR include a screen capture/demo video Include your n8n workflow JSON in a GitHub Gist or similar format (JSON file in the associated repo) Bright Data Credits Participants will receive $250 in credits upon signing up through our dedicated sign up link . If you're not seeing the credits in your account, try adding devto as a promo code. If additional credits are required, participants can email noah@brightdata.com with the subject line "DEV Challenge - Credit Required," including the email they used to sign up and details about their use case. Important Note: Use of Data Provided by Bright Data If you receive data from Bright Data as part of this challenge, it is solely for use in your project submission. This data is not intended for reuse, resale, or redistribution at any point. Data provided for the competition will be accessed through an account created by Bright Data and credited using a dev.to promotion code. The promotion code will provide the necessary credits to complete your project as part of the challenge. Misuse of the data or credits may result in disqualification from the competition and/or revocation of access. Submission Template Judging Criteria: Utilization of Underlying Technology Accessibility and User Experience Business Value and Use Case Creativity and Usability Writing Quality (Clarity and Originality) Helpful Links & Resources Get to know n8n and Bright Data by utilizing their docs and tutorials: Get n8n : Start fast with a 14-day trial on cloud or with the free self-hosted community edition n8n Quick Start Tutorial : Getting Started with n8n Bright Data Developer Docs Bright Data Blog Bright Data Use Cases Additional Videos: AI Agents Challenge with n8n and Bright Data Building with n8n and Bright Data (Live DEMO with DEV) Connect: Follow @n8n_io on X Frequently Asked Questions Participation Can I submit to a prompt more than once? Yes, you can submit multiple submissions per prompt but you'll need to publish a separate post for each submission. Can I work on a team? Yes, you can work on teams of up to four people. If you collaborate with anyone, you'll need to list their DEV handles in your submission post so we can award a badge to your entire team! Please only publish one submission per team. DEV does not handle prize-splitting, so in the event that your submission wins the shop gift, you will need to split that amongst yourselves. Thank you for understanding! How old do I have to be to participate? Participants need to be 18+ in order to participate. If I live in X, am I eligible to participate? For eligibility rules, see our official challenge rules . Submission Can I update my submission after the submission due date? No, please do not update your submission during the judging period. Can my submission include open source code? Riffing on open source code and borrowing and improving on previous work/ideas is encouraged but it's important your changes are significant enough to ensure your submission is valid. When does riffing become plagiarism? It will depend, but transparency is important, license compatibility is important. You can use someone else's code to give you a jumpstart to demonstrate your ideas on top of someone else's base, but not just re-package the base. It should be clear to the judges what you added to the project in terms of the code and conceptual inspiration. This means, you should clearly state what you were building on and what elements are original to this new submission. When building on existing code, we expect a significant change that adds something tangible to the output. i.e. a new animation, and new sprite, a new function, a new presentation. Not just changes to the source - i.e. changing colours, changing one sprite, changing one function. What happens if my submission is considered plagiarized or invalid? Anything deemed to be plagiarism will not be eligible for prizes. Incidental plagiarism may simply result in your disqualification from the challenge (regardless of the number of other valid submissions you have published). Egregious plagiarism will result in your suspension from DEV entirely. Any non-generic, non-trivial usage of prior work, including open source code must be credited in your submission. Do submissions have to be in English? Non-english submissions are eligible for a completion badge but not eligible for prizes due to the current limitations of our judges. We will not be judging on mastery of the English language, so please don't let this deter you from submitting if you are not a native English speaker! We hope to evolve this in the future to be more accommodating. Do I need a license for my code? You are not required to license your code but we strongly recommend that you do. Here are some you may consider: MIT , Apache , BSD-2 , BSD-3 , or Commons Clause . Can I use AI? Use of AI is allowed as long as all other rules are followed. We want to give you a chance to show off your skills in realistic scenarios. If you use AI tools to help you achieve your submission, all the power to you. How do I embed my project directly into my DEV post? Our editor supports many types of embeds, including: Stackbliz, Glitch, Github, etc. You can typically use the {% embed https://... %} syntax directly in the post. Click here for more information on our markdown support. For CodePen, you will need to use this syntax: {% codepen http://... %} For CodeSandbox, you will need to use this syntax: {% codesandbox http://... %} Judging and Prizing Can there be ties? 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. How will I know if I won? Winners will be announced in a DEV post on the winner announcement date noted in our key dates section. When will I receive my DEV badge? Both participation and winner badges will be awarded, in most cases, the same day as the winner announcement. When will I receive my prizes? The DEV Team will contact you via the email associated with your DEV profile within, at most, 10 business days of the announcement date to share the details of claiming your prizes. What steps do I need to take to receive my cash prize? The winner (including each member of a team) may be required to sign and return an affidavit of eligibility and publicity/liability release, and provide any additional tax filing information (such as a W-9, social security number or Federal tax ID number) within seven (7) business days following the date of your first email notification. Real-Time AI Agents powered by n8n and Bright Data Rules NO PURCHASE NECESSARY. Open only to 18+. Contest entry period ends August 31, 2025 at 11:59 PM PDT. Contest is void where prohibited or restricted by law or regulation. All entires must be submitted during the content period. For Official Rules, see n8n and Bright Data Real-Time AI Agents Challenge Contest Rules and General Contest Official Rules . Dismiss 💎 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. 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https://dev.to/t/webdev/page/78 | Web Development Page 78 - 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 Web Development Follow Hide Because the internet... Create Post submission guidelines Be nice. Be respectful. Assume best intentions. Be kind, rewind. Older #webdev posts 75 76 77 78 79 80 81 82 83 Posts Left menu 👋 Sign in for the ability to sort posts by relevant , latest , or top . Right menu Building a Secure Crypto Payment Gateway with Node.js and Flutter Krunal Bhimani Krunal Bhimani Krunal Bhimani Follow Dec 16 '25 Building a Secure Crypto Payment Gateway with Node.js and Flutter # webdev # node # flutter # fintech Comments Add Comment 4 min read Building Magic Link Authentication with Next.js Server-Side Rendering and Supabase Alec Winter Alec Winter Alec Winter Follow Dec 16 '25 Building Magic Link Authentication with Next.js Server-Side Rendering and Supabase # webdev # nextjs # supabase # authentication Comments Add Comment 5 min read Automate Your Content Repurposing: Instagram Reels to Blog Posts Olamide Olaniyan Olamide Olaniyan Olamide Olaniyan Follow Dec 16 '25 Automate Your Content Repurposing: Instagram Reels to Blog Posts # webdev # ai # javascript # tutorial Comments Add Comment 2 min read Our Third Tiny Tool: A Simple JPG to PNG Converter We Built as an Experiment Lynn Lynn Lynn Follow Dec 16 '25 Our Third Tiny Tool: A Simple JPG to PNG Converter We Built as an Experiment # webdev # indiehacker # sideprojects # opensource Comments Add Comment 1 min read Short URLs Without the Struggle Dody Bayu Artaputra Dody Bayu Artaputra Dody Bayu Artaputra Follow Dec 16 '25 Short URLs Without the Struggle # php # tooling # webdev Comments Add Comment 4 min read Technical Deep Dive: How React Server Components Work and Where the Vulnerabilities Appear Bishoy Semsem Bishoy Semsem Bishoy Semsem Follow Dec 16 '25 Technical Deep Dive: How React Server Components Work and Where the Vulnerabilities Appear # react # webdev Comments Add Comment 6 min read Speed Is Overrated: Clarity Is the Real Competitive Advantage Jaideep Parashar Jaideep Parashar Jaideep Parashar Follow Dec 31 '25 Speed Is Overrated: Clarity Is the Real Competitive Advantage # webdev # ai # productivity # beginners 19 reactions Comments 1 comment 3 min read End Of The Year For Denshya Libraries Valery Zinchenko Valery Zinchenko Valery Zinchenko Follow for denshya Dec 16 '25 End Of The Year For Denshya Libraries # news # webdev # frontend # showdev 1 reaction Comments Add Comment 2 min read I built a Free Invoice Generator with Next.js because I hate subscriptions Mutashim Mohsin Mutashim Mohsin Mutashim Mohsin Follow Dec 16 '25 I built a Free Invoice Generator with Next.js because I hate subscriptions # nextjs # webdev # saas # tooling Comments Add Comment 2 min read Stop Building "Dead Endpoints": Why Your API Strategy Needs an AI Overhaul Author Shivani Author Shivani Author Shivani Follow Dec 17 '25 Stop Building "Dead Endpoints": Why Your API Strategy Needs an AI Overhaul # webdev # api # ai # architecture Comments Add Comment 2 min read I Have Finally Launched my Template⚡⚡ Sushil Sushil Sushil Follow Dec 16 '25 I Have Finally Launched my Template⚡⚡ # webdev # programming # javascript # ai 1 reaction Comments Add Comment 1 min read I hate WebP files. So I built a Chrome extension to kill them. opzozi opzozi opzozi Follow Dec 16 '25 I hate WebP files. So I built a Chrome extension to kill them. # opensource # javascript # chrome # webdev 1 reaction Comments Add Comment 2 min read CSS Inline-Block Explained: When & How to Use It in Modern Web Design Satyam Gupta Satyam Gupta Satyam Gupta Follow Dec 17 '25 CSS Inline-Block Explained: When & How to Use It in Modern Web Design # css # webdev # programming # beginners Comments Add Comment 5 min read Is Shopify Plus Worth It? A Practical Guide for Developers and Technical Founders prateekshaweb prateekshaweb prateekshaweb Follow Dec 16 '25 Is Shopify Plus Worth It? A Practical Guide for Developers and Technical Founders # startup # webdev # api # architecture Comments Add Comment 4 min read Unlocking the Power of Types: A Deep Dive into TypeScript Visakh Vijayan Visakh Vijayan Visakh Vijayan Follow Dec 17 '25 Unlocking the Power of Types: A Deep Dive into TypeScript # webdev # javascript # programming # typescript Comments Add Comment 2 min read How the New US Tax Framework Could Shape the Market in 2026 Dan Keller Dan Keller Dan Keller Follow Dec 21 '25 How the New US Tax Framework Could Shape the Market in 2026 # webdev # productivity # tutorial # devops 3 reactions Comments Add Comment 2 min read Building a Secure Crypto Payment Gateway with Node.js and Flutter Krunal Bhimani Krunal Bhimani Krunal Bhimani Follow Dec 16 '25 Building a Secure Crypto Payment Gateway with Node.js and Flutter # webdev # node # flutter # fintech 1 reaction Comments Add Comment 4 min read Building AppReviews: the stack, the choices, and the compromises Quentin Dommerc Quentin Dommerc Quentin Dommerc Follow Dec 16 '25 Building AppReviews: the stack, the choices, and the compromises # programming # webdev # frontend # database Comments Add Comment 5 min read Supercharge Your Svelte Development with shadcn-svelte-mcp Michael Amachree Michael Amachree Michael Amachree Follow Dec 16 '25 Supercharge Your Svelte Development with shadcn-svelte-mcp # svelte # mcp # shadcn # webdev Comments Add Comment 3 min read Hidden Journey Behind virtual-react-json-diff Utku Akyüz Utku Akyüz Utku Akyüz Follow Dec 17 '25 Hidden Journey Behind virtual-react-json-diff # json # react # webdev # typescript 2 reactions Comments Add Comment 4 min read Node-gyp Errors? A Complete Guide to Fixing npm Install Failures Bhuvan Raj Bhuvan Raj Bhuvan Raj Follow Dec 17 '25 Node-gyp Errors? A Complete Guide to Fixing npm Install Failures # webdev # node # npm # devops Comments Add Comment 3 min read Zoneless Angular Explained — How Change Detection Works Without Zone.js Mridu Dixit Mridu Dixit Mridu Dixit Follow Jan 9 Zoneless Angular Explained — How Change Detection Works Without Zone.js # webdev # angular # zoneless # javascript 1 reaction Comments Add Comment 2 min read Stop Waiting for Backend APIs: Introducing Fakelab, a TypeScript-First Mock Server alireza alireza alireza Follow Dec 29 '25 Stop Waiting for Backend APIs: Introducing Fakelab, a TypeScript-First Mock Server # webdev # javascript # opensource # node 1 reaction Comments Add Comment 6 min read 5 React UI Component Libraries for your next Project Ritesh Kokam Ritesh Kokam Ritesh Kokam Follow Dec 29 '25 5 React UI Component Libraries for your next Project # webdev # react # javascript # beginners 1 reaction Comments Add Comment 5 min read Creating a simplified LinkedIn-style social architecture Joshua Joshua Joshua Follow Dec 16 '25 Creating a simplified LinkedIn-style social architecture # webdev # programming # systemdesign # distributedsystems 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://dev.to/shuckle_xd/you-cant-trust-images-anymore-58jh#xvertice-links | You can't trust Images anymore - 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 pri Posted on Jan 12 You can't trust Images anymore # computervision # showdev Image manipulation isn't something new , it's been happening from almost around the time when photographs were first invented. It's just that in recent years with Artificial Intelligence has made it easier to do so. This opened the floodgates for artificially manipulated images on the internet. I literally can't tell half the time if what I am seeing is real or not. I have started questioning every image I see, heck I even question some of the photos my family sends me. This... is not good. Manipulated images have not just introduced something hard to catch, but have tarnished the credibility of real images. Images have always been a source of truth for us, something which we use to visualise what could have been merely text. Just look at history books, wouldn't they just be boring without any images? But if manipulation existed before, were images really a source of truth? History shows this isn't a one-off problem, but a recurring failure of how we trust images. One of the most widely circulated portraits of President Abraham Lincoln was later found to be simple image compositing, where his face had been placed onto another man's body. For decades this image was never questioned of its authority, despite the fact that the body belonged to a slavery advocate, directly contradicting what Lincoln stood for. This manipulation wasn't subtle, nor was it digital, yet it went unquestioned for years. Not because it was true but because verifying it was harder than believing it . Image on left is the altered portrait of President Lincoln and image on right is the original protrait of slavery advocate John Calhoun (Image credit: Library of Congress) Someone who understood the power of images was the renowned dictator of the USSR, Joseph Stalin . During his reign of power photos were not just used as historical records, but as tools to shape them. Stalin's enemies were not just removed from public life, but also expunged from records, erasing them from history. This slowly became normalised, unquestioned and now instead of images documenting the past, it was Stalin's state writing their version of the past. This type of image manipulation is an example of how it could be used not just to distort truth but help overwrite it . Left shows the original photograph of Nikolai Antipov, Stalin, Sergei Kirov and Nikolai Shvernik in Leningrad, 1926. (Credit: Tate Archive by David King, 2016/Tate, London/Art Resource, NY) The modern digital era marked a fundamental shift. With tools like Adobe Photoshop , image manipulation stopped being rare and became accessible to almost anyone. Editing no longer required significant skill, time, or resources and more importantly, it became difficult to detect. While mechanisms like metadata were introduced to preserve authenticity, they were fragile and easily altered, offering only a thin layer of reassurance. For the first time, image creation began to scale faster than image verification . This wasn’t just an increase in fake images, it was the point where trust in images stopped keeping up. Now, come to present day, that imbalance has widened dramatically. With the rise of Artificial Intelligence for image generation and editing, creating convincing manipulations no longer requires technical skill or effort. Images can now be generated, altered, or refined through simple instructions, often in seconds. What once demanded time, expertise, and intent has been reduced to a conversational interaction. Meanwhile, verifying whether an image is authentic still requires scrutiny, tools, and context in forensic fields. The result isn’t that images suddenly became fake, it’s that human judgment can no longer reliably keep up . https://x.com/IndianTechGuide/status/2009256327596355938?s=20 In recent podcast with Raj Shamani, Deepinder Goyal talked about how customers abuse AI generated content to scam Zomato customer support. I know I have been bashing on Image manipulation for the last four paragraphs or so, but it isn't inherently bad. In fact, it has enabled some of the most valuable visual work we have, from enhanced space imagery to complex visual design and creative expression. The problem isn’t that images are altered. It’s that viewers are rarely told how or why they were altered. What matters isn’t whether an image has been manipulated, but whether the truth behind it is knowable. Image of Cosmic Tarantula, which has been enhanced from infrared spectrum to a visible spectrum for better color visualization. (Image Credit: NASA, ESA, CSA, STScI, Webb ERO Production Team) To explore this problem, we’ve been building Xvertice , an attempt to give viewers more context instead of false certainty. Rather than labelling images as simply “real” or “fake,” Xvertice focuses more on explainable image forensics, helping users understand how an image may have been created, altered, or processed over time. The goal isn’t to replace judgment, but to inform it . We’re launching an experimental demo to share this approach early. It’s not a finished product, and it’s not meant to deliver definitive answers but it should make clear how we think about image trust, and how we’re trying to close the gap between creation and verification. If you try it, your feedback will directly shape where it goes next. Xvertice Links Website: https://x-vertice.com/ Twitter/X: https://x.com/teamxvertice Peerlist: https://peerlist.io/company/xvertice LinkedIn: https://www.linkedin.com/company/xvertice Sources https://www.digitalcameraworld.com/features/abraham-lincoln-vs-john-calhoun-the-original-deepfake-photo https://www.history.com/articles/josef-stalin-great-purge-photo-retouching 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 pri Follow Building https://x-vertice.com/ Joined Jan 12, 2026 Trending on DEV Community Hot When is a side project worth committing to? # ai # gemini # sideprojects # showdev What was your win this week??? # weeklyretro # discuss How to Crack Any Software Developer Interview in 2026 (Updated for AI & Modern Hiring) # softwareengineering # programming # career # interview 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV 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. Made with love and Ruby on Rails . Forem © 2016 - 2026. We're a place where coders share, stay up-to-date and grow their careers. Log in Create account | 2026-01-13T08:49:31 |
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.mask.full{-webkit-transition-delay:1s;-moz-transition-delay:1s;-spec-transition-delay:1s;transition-delay:1s;-webkit-transform:rotate(59.4deg);-moz-transform:rotate(59.4deg);-ms-transform:rotate(59.4deg);-o-transform:rotate(59.4deg);-spec-transform:rotate(59.4deg);transform:rotate(59.4deg)}.card--dashboard .card__progress--circle[data-progress="33"] .circle .fill.fix{-webkit-transform:rotate(118.8deg);-moz-tran | 2026-01-13T08:49:32 |
https://commonsclause.com/ | Commons Clause License The Commons Clause . “Commons Clause” License Condition v1.0 The Software is provided to you by the Licensor under the License, as defined below, subject to the following condition. Without limiting other conditions in the License, the grant of rights under the License will not include, and the License does not grant to you, the right to Sell the Software. For purposes of the foregoing, “Sell” means practicing any or all of the rights granted to you under the License to provide to third parties, for a fee or other consideration (including without limitation fees for hosting or consulting/ support services related to the Software), a product or service whose value derives, entirely or substantially, from the functionality of the Software. Any license notice or attribution required by the License must also include this Commons Clause License Condition notice. Software: [name software] License: [i.e. Apache 2.0] Licensor: [ABC company] FAQ What is Commons Clause? The Commons Clause is a license condition drafted by Heather Meeker that applies a narrow, minimal-form commercial restriction on top of an existing open source license to transition the project to a source-availability licensing scheme. The combined text replaces the existing license, allowing all permissions of the original license to remain except the ability to "Sell" the software as defined in the text. This Clause is not intended to replace licenses of existing open source projects in general, but to be used by specific projects to satisfy urgent business or legal requirements without resorting to fully "closing source". Is this “Open Source”? No. “Open source”, has a specific definition that was written years ago and is stewarded by the Open Source Initiative, which approves Open Source licenses. Applying the Commons Clause to an open source project will mean the source code is available, and meets many of the elements of the Open Source Definition, such as free access to source code, freedom to modify, and freedom to re-distribute, but not all of them. So to avoid confusion, it is best not to call Commons Clause software “open source.” If I change from an open source license to Commons Clause, how does this affect my project? When the Commons Clause is applied to an existing open source project, it only affects code moving forward -- meaning no existing users are immediately affected. Licenses applied to previous versions are not revoked, so the Clause will only apply to future releases. If you choose to adopt the Commons Clause, you should understand the implications any license change will have on your community and weigh that against the threat of allowing others to trade on your work developing your open source project. The Commons Clause was intended, in practice, to have virtually no effect other than force a negotiation with those who take predatory commercial advantage of open source development. In practice, those are some of the biggest technology businesses in the world, some of whom use open source software but don’t give back to the community. Freedom for others to commercialize your software comes with starting an open source project, and while that freedom is important to uphold, growth and commercial pressures will inevitably force some projects to close. The Commons Clause provides an alternative. The Commons Clause was not designed to restrict code sharing or development, but preserves the rights of developers to benefit from commercial use of their work. However, those that adopt the Clause should understand the broader implications of making a license change and commitments to source availability. May I create, distribute, offer as SaaS, and/or “sell” my products using Commons Clause licensed components? Yes! Commons Clause only forbids you from “selling” the Commons Clause software itself. You may develop on top of Commons Clause licensed software (adding applications, tools, utilities or plug-ins) and you may embed and redistribute Commons Clause software in a larger product, and you may distribute and even “sell” (which includes offering as a commercial SaaS service) your product. You may even provide consulting services ( see clarifying discussion here ). You just can’t sell a product that consists in substance of the Commons Clause software and does not add value. This is not a new concept. It’s similar to “value-add” requirements in many licenses. For example let’s say you use a library containing numerical algorithms from Rogue Wave Software . Can you create an application with the library and sell the application? Yes. Can you offer that application as SaaS and charge for it? Yes. Can you change the name of the library and change some function names and sell the library or offer it as SaaS? No. Let’s apply the example to Commons Clause licensed software. Commons Clause-licensed Redis Graph is a graph database module for BSD-licensed Redis. Can you create applications with Redis Graph and distribute and/or sell them? Yes. Can you redistribute Redis Graph along with your application? Yes. Can you offer that application as SaaS and charge for it? Yes. Can you take Redis Graph itself, call it ElastiGraph and offer it as SaaS and charge for it. No. Isn’t this the same as a proprietary license? Commons Clause is a source-available license that is less liberal than permissive open source licenses (such as Apache, BSD, MIT). It allows you more commercial freedom in some ways than copyleft or reciprocal open source licenses (such as GPL and AGPL), and it is much more liberal than proprietary source-unavailable licenses, such as for the numerical algorithms library mentioned in the previous answer. The Commons Clause source-available license provides many of the benefits of open source software to anyone not intending to “sell” the Commons Clause licensed software itself. Anyone not intending to “sell” the Commons Clause licensed software itself may view the source code, make modifications, submit pull requests to get their modifications into the software, freely use, embed and redistribute the software, make and distribute and sell derivative works. To anyone wishing to sell the Commons Clause licensed software itself, an action that the license prohibits, it appears proprietary, in the sense that it would be necessary to negotiate a license to do that with the owner of the Commons Clause software. Why not just use AGPL? AGPL simply doesn't work to solve this problem. It is not a widely adopted license, and its “network” clause is not clearly written, so companies are not willing to stake their entire development resources on using AGPL to prevent free riding. AGPL doesn't go far enough to preserve the rights of developers. If cloud-based software is licensed under AGPL, often, much of the value for improvements to the cloud-based software arguably falls outside of the “Program” thereby nullifying many of the benefits of mandating enforcing source code offers. Hosting, management, and other elements are often just as important as the core code. In addition, the ambiguity of what is covered by AGPL’s network clause (“interacting ..remotely through a computer network”) means that many potential users are more confused and cautious about using AGPL code than a source-available license. Like the group behind Commons Clause, the drafters of AGPL were concerned about the “cloud loophole” in licenses like GPL. Unfortunately, AGPL’s network clause was a compromise; one camp in the GPL3 drafting process wanted to introduce a network clause into GPL3, and many more than wanted to preserve the “distribution trigger”. So the network clause was never popular, and even after 10 years, AGPL has not been broadly accepted, particularly in business. Most companies still won’t use AGPL code at all. So it is not a useful open source solution for emerging companies. The open source community says this is a bad idea. I love open source software. Should I refuse to use Commons Clause software? Some people believe that all software must be open source, and they will never condone anything else. But in reality, there are lots of models for licensing software. Commons Clause is just one alternative. But the important thing is that the developers who have chosen Commons Clause have been faced with the choice of doing something new or allowing their businesses to fail. And the other possibility -- the completely proprietary, closed source model of companies like Oracle and Adobe -- is always a possibility. So if anyone tries to convince you that Commons Clause is wrong because it doesn't meet all the requirements of the Open Source Definition, you should ask them if proprietary is better -- or no software at all. You probably use plenty of software that is “freeware” -- under free of charge proprietary licenses (JRE, Acrobat). If you refuse to use Commons Clause software, you should refuse to use those, too. Those licenses give you less rights. Why did you use open source licenses as the basis for Commons Clause? We didn’t have to, we could have just written a new, proprietary license. But people understand the popular open source licenses, and we wanted to be clear that we were allowing everything those licenses allow, except for one kind of use. For maintainers, this portability was a specific design constraint to support the legacy schemes they were transitioning from. Why not just use Creative Commons non-commercial (sharealike)? CC-NC is a similar idea, but CC licenses are not software licenses. Also, there is a lot of confusion about what is a “commercial” use, and we only wanted to restrict one narrow kind of commercial use. CC-NC is actually much more restrictive than Commons Clause. Commons Clause prohibits me from selling “substantially” the Commons Clause licensed software. What does “substantially” mean? “Substiantially” is not a new concept. Qualifications like "substantially" are common in legal documents to indicate that minor differences are not important. In this sense, "substantially" means “for the most part,” or “essentially” (as the word is defined in the Oxford English Dictionary.) The Commons Clause restricts the sale of a product “whose value derives, entirely or substantially, from the functionality of the Software." Selling a product which adds only an insubstantial value to the software -- such as changing the product name, changing some API or function names, or just making the Commons Clause licensed product available via SaaS -- would be restricted. What will this do to Open Source? Open source is here to stay. But open source works better for some kinds of software than others. The Open Source Definition and the development model it represents is an immensely important set of ideals that have carried many projects to success. But most of those projects were basic infrastructure projects, as opposed to advanced applications. And very few pure open source businesses have flourished. Open Source projects are not free of cost, they often support billions of dollars of revenue and can require tens of millions of dollars in financing to stay afloat. That can work -- with a lot of effort -- for software that everyone uses, like operating systems. Also, lots of companies are successful using open source -- when they are selling something else, like hardware or services or dual-license upsell modules. But many software companies can’t keep the doors open with an open source licensing model. The Commons Clause was drafted by a group of developers behind many of the world’s most popular open source projects who feel a lot of pain and pressure from a rapidly-developing business ecosystem and the realities of the cost of developing projects. It wasn’t created to end open source, but start a conversation on what we can do to meet the financial needs of commercial software projects and the communities behind them. Commons Clause · Contributed by FOSSA ( @getfossa ) · View Source on GitHub · Website Design by Roka | 2026-01-13T08:49:32 |
https://realpython.com/python-sets/ | Sets in Python – Real Python Start Here Learn Python Python Tutorials → In-depth articles and video courses Learning Paths → Guided study plans for accelerated learning Quizzes & Exercises → Check your learning progress Browse Topics → Focus on a specific area or skill level Community Chat → Learn with other Pythonistas Office Hours → Live Q&A calls with Python experts Podcast → Hear what’s new in the world of Python Books → Round out your knowledge and learn offline Reference → Concise definitions for common Python terms Code Mentor → Beta Personalized code assistance & learning tools Unlock All Content → More Learner Stories Python Newsletter Python Job Board Meet the Team Become a Tutorial Writer Become a Video Instructor Search / Join Sign‑In — FREE Email Series — 🐍 Python Tricks 💌 Get Python Tricks » 🔒 No spam. Unsubscribe any time. Browse Topics Guided Learning Paths Basics Intermediate Advanced ai algorithms api best-practices career community databases data-science data-structures data-viz devops django docker editors flask front-end gamedev gui machine-learning news numpy projects python stdlib testing tools web-dev web-scraping Table of Contents Getting Started With Python’s set Data Type Building Sets in Python Creating Sets Through Literals Using the set() Constructor Using Set Comprehensions Performing Common Set Operations Union Intersection Difference Symmetric Difference Using Augmented Set Operations Augmented Union Augmented Intersection Augmented Difference Augmented Symmetric Difference Comparing Sets Subsets Proper Subsets Supersets Proper Supersets Disjoint Sets Using Other Set Methods Adding an Element With .add() Removing an Existing Element With .remove() Deleting an Existing or Missing Element With .discard() Removing and Returning an Element With .pop() Removing All Elements With .clear() Creating Shallow Copies of Sets With .copy() Traversing Sets Accessing and Modifying Elements in a Loop Processing and Removing Elements in a Loop Iterating Through a Sorted Set Exploring Other Set Capabilities Finding the Number of Elements With len() Running Membership Tests on Sets Conclusion Frequently Asked Questions Mark as Completed Share Recommended Video Course Using Sets in Python Sets in Python by Leodanis Pozo Ramos Publication date May 05, 2025 Reading time estimate 47m basics python Mark as Completed Share Table of Contents Getting Started With Python’s set Data Type Building Sets in Python Creating Sets Through Literals Using the set() Constructor Using Set Comprehensions Performing Common Set Operations Union Intersection Difference Symmetric Difference Using Augmented Set Operations Augmented Union Augmented Intersection Augmented Difference Augmented Symmetric Difference Comparing Sets Subsets Proper Subsets Supersets Proper Supersets Disjoint Sets Using Other Set Methods Adding an Element With .add() Removing an Existing Element With .remove() Deleting an Existing or Missing Element With .discard() Removing and Returning an Element With .pop() Removing All Elements With .clear() Creating Shallow Copies of Sets With .copy() Traversing Sets Accessing and Modifying Elements in a Loop Processing and Removing Elements in a Loop Iterating Through a Sorted Set Exploring Other Set Capabilities Finding the Number of Elements With len() Running Membership Tests on Sets Conclusion Frequently Asked Questions Remove ads Watch Now This tutorial has a related video course created by the Real Python team. Watch it together with the written tutorial to deepen your understanding: Using Sets in Python Python provides a built-in set data type. It differs from other built-in data types in that it’s an unordered collection of unique elements. It also supports operations that differ from those of other data types. You might recall learning about sets and set theory in math class. Maybe you even remember Venn diagrams: Venn Diagram In mathematics, the definition of a set can be abstract and difficult to grasp. In practice, you can think of a set as a well-defined collection of unique objects, typically called elements or members . Grouping objects in a set can be pretty helpful in programming. That’s why Python has sets built into the language. By the end of this tutorial, you’ll understand that: A set is an unordered collection of unique, hashable elements. The set() constructor works by converting any iterable into a set, removing duplicate elements in the process. You can initialize a set using literals, the set() constructor, or comprehensions. Sets are unordered because they don’t maintain a specific order of elements. Sets are useful when you need to run set operations , remove duplicates , run efficient membership tests , and more. In this tutorial, you’ll dive deep into the features of Python sets and explore topics like set creation and initialization, common set operations, set manipulation, and more. Get Your Code: Click here to download the free sample code that shows you how to work with sets in Python. Take the Quiz: Test your knowledge with our interactive “Python Sets” quiz. You’ll receive a score upon completion to help you track your learning progress: Interactive Quiz Python Sets In this quiz, you'll assess your understanding of Python's built-in set data type. You'll revisit the definition of unordered, unique, hashable collections, how to create and initialize sets, and key set operations. Getting Started With Python’s set Data Type Python’s built-in set data type is a mutable and unordered collection of unique and hashable elements. In this definition, the qualifiers mean the following: Mutable : You can add or remove elements from an existing set. Unordered : A set doesn’t maintain any particular order of its elements. Unique elements : Duplicate elements aren’t allowed. Hashable elements : Each element must have a hash value that stays the same for its entire lifetime. As with other mutable data types, you can modify sets by increasing or decreasing their size or number of elements. To this end, sets provide a series of handy methods that allow you to add and remove elements to and from an existing set. The elements of a set must be unique. This feature makes sets especially useful in scenarios where you need to remove duplicate elements from an existing iterable , such as a list or tuple : Python >>> numbers = [ 1 , 2 , 2 , 2 , 3 , 4 , 5 , 5 ] >>> set ( numbers ) {1, 2, 3, 4, 5} In practice, removing duplicate items from an iterable might be one of the most useful and commonly used features of sets. Python implements sets as hash tables . A great feature of hash tables is that they make lookup operations almost instantaneous. Because of this, sets are exceptionally efficient in membership operations with the in and not in operators . Finally, Python sets support common set operations , such as union , intersection , difference , symmetric difference , and others. This feature makes them useful when you need to do some of the following tasks: Find common elements in two or more sets Find differences between two or more sets Combine multiple sets together while avoiding duplicates As you can see, set is a powerful data type with characteristics that make it useful in many contexts and situations. Throughout the rest of this tutorial, you’ll learn more about the features that make sets a worthwhile addition to your programming toolkit. Remove ads Building Sets in Python To use a set, you first need to create it. You’ll have different ways to build sets in Python. For example, you can create them using one of the following techniques: Set literals The set() constructor A set comprehension In the following sections, you’ll learn how to use the three approaches listed above to create new sets in Python. You’ll start with set literals. Creating Sets Through Literals You can define a new set by providing a comma-separated series of hashable objects within curly braces {} as shown below: Python Syntax { obj_0 [, obj_1 , ... , obj_n ]} The portion of this syntax enclosed in square brackets is optional. This means you can build a set with a single item if you remove the code inside the square brackets: Python >>> # Single-element set >>> hex_colors = { "#33FF57" } >>> hex_colors {'#33FF57'} >>> # Multiple-element set >>> hex_colors = { ... "#33FF57" , # Green ... "#3357FF" , # Blue ... "#F1C40F" , # Yellow ... "#E74C3C" , # Red ... } >>> hex_colors {'#F1C40F', '#33FF57', '#E74C3C', '#3357FF'} In the first example, you create a set with a single element representing a color in hexadecimal notation. Later, you define the set with four elements. Note: You can’t use a literal to create an empty set because an empty pair of curly braces creates a dictionary. More about this topic in a moment. When you define a set following the literal syntax, each object becomes a distinct element. This syntax won’t unpack iterable objects. For example, if you use a tuple, then it’ll be added to the set as a tuple rather than a series of elements: Python >>> rgb_colors = { ... ( 51 , 255 , 87 ), # Green ... ( 51 , 87 , 255 ), # Blue ... ( 241 , 196 , 15 ), # Yellow ... ( 231 , 76 , 60 ), # Red ... } >>> rgb_colors { (51, 255, 87), (241, 196, 15), (51, 87, 255), (231, 76, 60) } In this example, you create a set of colors expressed as three-value tuples that follow the RGB color model. Note that the resulting set contains tuples. It doesn’t unpack the tuples’ content. In practice, most sets will contain similar objects—for example, even numbers or surnames: Python >>> { 2 , 4 , 6 , 8 , 10 , 8 , 2 } {2, 4, 6, 8, 10} >>> { "Smith" , "McArthur" , "Wilson" , "Johansson" , "Smith" } {'Johansson', 'McArthur', 'Wilson', 'Smith'} Holding objects of homogeneous data type or similar semantics isn’t a requirement for Python sets. Additionally, note how in both examples, the resulting set removed the duplicate. This behavior guarantees that the resulting set contains only unique elements. The elements of a set can be objects of different data types: Python >>> { 42 , "Hi!" , 3.14159 , None , "Python" } {None, 42, 3.14159, 'Hi!', 'Python'} In this example, your set contains numbers, strings, and even the None object. Even though sets can store objects of different data types , it’s common to have sets of semantically equivalent objects, such as colors, letters, surnames, and so on. This kind of set, in most cases, results in objects of the same data type. It’s also important to remember that set elements must be hashable. For example, you can include a tuple in a set, as you already learned, but you can’t include a list because lists aren’t hashable: Python >>> rgb_colors = { ... [ 51 , 255 , 87 ], # Green ... [ 51 , 87 , 255 ], # Blue ... [ 241 , 196 , 15 ], # Yellow ... [ 231 , 76 , 60 ], # Red ... } Traceback (most recent call last): ... TypeError : unhashable type: 'list' Apart from lists, you can’t use dictionaries , bytearray objects, or other sets as the elements of a set. These data types are mutable, and therefore, they can’t be hashable. A special case occurs with tuples. If you have tuples containing hashable values, then you can add those tuples to a set. However, if your tuples contain unhashable values, then you can’t add them to a set: Python >>> students = { ... ( "Jane" , 18 , [ "Math" , "Physics" , "History" ]), ... ( "John" , 19 , [ "English" , "History" , "Philosophy" ]), ... } Traceback (most recent call last): ... TypeError : unhashable type: 'list' In this example, you have tuples holding students’ data. Inside each tuple, you have a list of subjects. Lists are unhashable, so they can’t be added to sets even if they’re contained in a tuple. Remove ads Using the set() Constructor You can also build sets using the set() constructor . When would you use this approach? For example, there’s no literal for creating empty sets because an empty pair of curly braces creates an empty dictionary. If you want to create an empty set, then you have to use the constructor: Python >>> empty = set () >>> empty set() Calling the set constructor is the most straightforward and readable way to create an empty set. Note that instead of getting an empty pair of curly braces in the output, you get set() to avoid confusion with empty dictionaries. The syntax to build a set using the constructor is shown below: Python Syntax set ([ iterable ]) The argument iterable is optional and must be an iterable like a list or tuple. For example, the following code builds a set from a list: Python >>> set ([ 1 , 2 , 2 , 3 , 4 , 4 , 5 ]) {1, 2, 3, 4, 5} In this example, you pass a list of numbers to set() . Note how the originally duplicate values are only represented once in the resulting set. Python strings are also iterable, so you can pass a string to set() . This will generate a set of characters in the input string: Python >>> language = "Python" >>> set ( language ) {'y', 'P', 'o', 't', 'n', 'h'} The resulting set of characters is unordered. The original order, as specified in the string, isn’t preserved. There’s a subtle difference between using the set() constructor and the literal syntax. Observe the difference with a quick example: Python >>> set ( "Hello!" ) {'H', 'l', 'e', '!', 'o'} >>> { "Hello!" } {'Hello!'} When you create sets using the set() constructor, the argument must be iterable. The constructor unpacks the iterable and adds its items to the resulting set as individual elements. In contrast, the set literal syntax adds the iterable as a single element to the set. It doesn’t unpack its items. Using Set Comprehensions A set comprehension is a concise way to create a set by evaluating an expression over an iterable. It works similarly to list comprehensions but automatically removes duplicates. Here’s the syntax for a set comprehension: Python Syntax { expression for member in iterable [ if condition ]} The set comprehension syntax consists of the following key components: The enclosing brackets ( {} ) define the set comprehension. The comprehension expression provides an element in each iteration. The current member represents the current item or value in the iterable. The iterable can be any iterable object, including a list , tuple , set , generator , or similar type. The [if condition] part is an optional conditional that you can use to filter existing collections or generate elements conditionally. A set comprehension returns a new set. So, you use them to create, transform, and filter sets, which are essential skills for any Python programmer. Note: To dive deeper into set comprehensions, check out the Python Set Comprehensions: How and When to Use Them tutorial. To illustrate how to use a set comprehension, say that you have a list of usernames initially entered without validation. You need to clean the list by converting all the usernames to lowercase, removing leading and trailing spaces, and removing duplicates. You can do this with a set comprehension: Python >>> usernames = [ ... "Alice" , ... " bob" , ... "ALICE " , ... "Bob" , ... "charlie" , ... "Charlie" , ... "JOHN" ... ] >>> { name . lower () . strip () for name in usernames } {'bob', 'alice', 'john', 'charlie'} In this example, the set comprehension processes a list of strings. It converts each value into lowercase and removes any leading and trailing spaces. It also eliminates duplicates. This way, you have a new set of clean usernames. Remove ads Performing Common Set Operations Python’s set data type provides a host of operations that are based on the operations defined for mathematical sets. You can perform most set operations in two different ways: Using an operator Calling a method In the following sections, you’ll explore both approaches and their differences. To kick things off, you’ll start with set union, which is one of the most common operations that you’ll perform on sets. Union The union of two sets returns a new set that contains all unique elements from both sets. You can perform a union using the | operator or the .union() method. Any duplicate elements are automatically removed, so each item appears only once in the result. Union is a great way to keep all the elements without unwanted duplication. The following diagram provides a visual representation of the union operation between sets A and B : Set Union The darkest area in the center of the diagram represents the elements that were common to A and B and now are unique in the resulting set. Here’s the syntax for the union operation, using both the operator and the method: Python Syntax x1 | x2 [ | x3 | ... | xN ] x1 . union ( x2 [, x3 , ... , xN ]) In this syntax, the portion between square brackets is optional. The union operator ( | ) is a binary operator, which means it operates on two operands. The .union() method can take any number of arguments. To illustrate how the union operation works, say that you have the following sets: Python >>> pet_animals = { "dog" , "cat" , "hamster" , "parrot" } >>> farm_animals = { "cow" , "chicken" , "goat" , "dog" , "cat" } The union of pet_animals and farm_animals is a new set containing the elements from both initial sets. In the case of having one or more repeated elements, the resulting set will contain only one instance of those elements. In this example, "dog" and "cat" are repeated. Here’s how the union operator works: Python >>> pet_animals | farm_animals {'cow', 'hamster', 'cat', 'dog', 'goat', 'chicken', 'parrot'} >>> farm_animals | pet_animals {'cow', 'hamster', 'cat', 'dog', 'goat', 'chicken', 'parrot'} Note that the resulting sets contain only one instance of "dog" and "cat" . The rest of the elements are also in the result. It’s important to mention that the union operation is commutative, meaning the order of the operands doesn’t affect the outcome. The .union() method works similarly. You’ll invoke the method on one of the sets and pass the other as an argument: Python >>> pet_animals . union ( farm_animals ) {'hamster', 'chicken', 'cow', 'dog', 'parrot', 'cat', 'goat'} >>> farm_animals . union ( pet_animals ) {'hamster', 'chicken', 'cow', 'dog', 'parrot', 'cat', 'goat'} The resulting sets contain the same elements as in the previous example. Of course, they’re not in the same order because sets are unordered data types. In both examples, the operator and method behave identically. However, there’s a subtle difference between them. When you use the | operator, both operands must be sets. The .union() method, on the other hand, can take any iterables as arguments and then perform the union. Observe the difference between these two statements: Python >>> pet_animals | [ "cow" , "chicken" , "goat" , "dog" , "cat" ] Traceback (most recent call last): ... TypeError : unsupported operand type(s) for |: 'set' and 'list' >>> pet_animals . union ([ "cow" , "chicken" , "goat" , "dog" , "cat" ]) {'hamster', 'chicken', 'cow', 'dog', 'parrot', 'cat', 'goat'} The first attempt to compute the union of pet_animals and the list of farm animals fails because the | operator doesn’t support data types different from sets. The .union() method succeeds because it can handle different iterable types. Note: The behavior of the union operator and method shown in the example above is consistent with the other operators and their corresponding methods. Here’s how you can use the operator and method with multiple sets: Python >>> a = { 1 , 2 , 3 , 4 } >>> b = { 2 , 3 , 4 , 5 } >>> c = { 3 , 4 , 5 , 6 } >>> d = { 4 , 5 , 6 , 7 } >>> a . union ( b , c , d ) {1, 2, 3, 4, 5, 6, 7} >>> a | b | c | d {1, 2, 3, 4, 5, 6, 7} As usual, the resulting set contains all elements that are present in the specified sets without any duplication. Remove ads Intersection The intersection of two sets is a new set containing only the elements common to both sets. You can use the & operator or the .intersection() method to perform an intersection. Intersection is a great way to find shared values between datasets, such as mutual friends, overlapping tags, or common items. The following diagram provides a visual representation of the intersection between sets A and B : Set Intersection The green area represents the intersection and holds the elements that are present in both A and B . Here’s the syntax for the intersection operation, using both the operator and the method: Python Syntax x1 & x2 [ & x3 & ... & xN ] x1 . intersection ( x2 [, x3 , ... , xN ]) Again, the portion in square brackets is optional. The & operator is also binary, so you can use it with two operands. The .intersection() method can take any number of arguments. The operator and the method return a set of elements common to both. Consider the following examples where you use an intersection to find mutual friends: Python >>> john_friends = { "Linda" , "Mathew" , "Carlos" , "Laura" } >>> jane_friends = { "Alice" , "Bob" , "Laura" , "Mathew" } >>> john_friends & jane_friends {'Laura', 'Mathew'} >>> john_friends . intersection ( jane_friends ) {'Laura', 'Mathew'} In this example, the resulting set contains the people who are both John and Jane’s friends. Isn’t that cool? You can specify multiple sets with the intersection operator and method, just like you can with set union: Python >>> a = { 1 , 2 , 3 , 4 } >>> b = { 2 , 3 , 4 , 5 } >>> c = { 3 , 4 , 5 , 6 } >>> d = { 4 , 5 , 6 , 7 } >>> a & b & c & d {4} >>> a . intersection ( b , c , d ) {4} The resulting set contains only elements that are present in all of the specified sets. In this example, only the number 4 is present in all sets. Finally, it’s important to mention that if an intersection finds no common elements, you get an empty set: Python >>> x = { 1 , 2 , 3 , 4 } >>> y = { 5 , 6 , 7 , 8 } >>> x & y set() In this example, there are no common elements in x and y , so you get an empty set as a result of the intersection operation. Difference The difference between two sets is a new set containing elements that are in the first set but not in the second. It subtracts one set from another. You can perform a difference using the - operator or the .difference() method. Difference is applicable when you want to identify what’s unique to one dataset compared to another. The following diagram provides a visual representation of the difference between sets A and B : Set Difference The green area represents the elements that only exist in A , which is the result of the difference operation. Here’s the syntax for the difference operation, using both the operator and the method: Python Syntax x1 - x2 [ - x3 - ... - xN ] x1 . difference ( x2 [, x3 , ... , xN ]) Again, the operator works with two sets, and the method can take any number of arguments. For a practical example, say that you have a set of people who have registered for an event and another set of people who actually attended. The difference tells you who didn’t show up: Python >>> registered_users = { "Alice" , "Bob" , "Charlie" , "Diana" , "Linda" } >>> checked_in_users = { "Alice" , "Charlie" , "Linda" } >>> registered_users - checked_in_users {'Bob', 'Diana'} In this example, the resulting set contains the users who registered but didn’t attend the event. The set difference operation is useful when you have questions like who is missing or what hasn’t been done yet. Note: In the case of set difference, the order of the operands affects the result: Python >>> checked_in_users - registered_users set() Now, you get an empty set, which demonstrates that the difference operation isn’t commutative. Once again, you can specify more than two sets: Python >>> a = { 1 , 2 , 3 , 30 , 300 } >>> b = { 10 , 20 , 30 , 40 } >>> c = { 100 , 200 , 300 , 400 } >>> a - b - c {1, 2, 3} >>> a . difference ( b , c ) {1, 2, 3} When you specify multiple sets, the operation is performed from left to right. To better understand this behavior, consider the following diagram: Here, a - b is computed first, resulting in {1, 2, 3, 300} . Then, c is subtracted from the resulting set, leaving {1, 2, 3} . Remove ads Symmetric Difference The symmetric difference between two sets is a new set containing all the elements that appear in either set but not both. You can perform a symmetric difference using the ^ operator or the .symmetric_difference() method. The symmetric difference comes in handy when you need to identify elements that are in exactly one of the two sets. The following diagram gives you a visual representation of the symmetric difference between sets A and B : Set Symmetric Difference The green area represents elements in A but not in B , and the other way around. The middle area represents the elements present in both A and B . So, the resulting set contains uncommon or unshared elements. Here’s the syntax for both the operator and method for the symmetric difference operation: Python Syntax x1 ^ x2 [ ^ x3 ^ ... ^ xN ] x1 . symmetric_difference ( x2 ) The operator works similarly to the other set operators. However, the method behaves differently because it only accepts one argument. Note: The symmetric difference is also known as the exclusive OR because it represents elements that appear in either of the two sets, but not in both at the same time. Going back to your event example, say that the event has morning and afternoon sessions, and you want to know the attendees who participated in only one of the sessions. You can do this with the symmetric difference operation: Python >>> morning_attendees = { "Alice" , "Charlie" , "Linda" , "John" , "Jane" } >>> afternoon_attendees = { "Charlie" , "Linda" , "Bob" , "Jane" } >>> morning_attendees ^ afternoon_attendees {'John', 'Bob', 'Alice'} >>> morning_attendees . symmetric_difference ( afternoon_attendees ) {'John', 'Bob', 'Alice'} The resulting set contains the attendees who were present in only one session. A closer look at the involved sets will allow you to conclude that Alice and John attended the morning session, while Bob only attended the afternoon session. Note: Unlike the set difference operation, symmetric difference is commutative: Python >>> afternoon_attendees ^ morning_attendees {'John', 'Bob', 'Alice'} Despite the order of operands, you get the same result. The symmetric difference operator ( ^ ) also allows you to process more than two sets: Python >>> a = { 1 , 2 , 3 , 4 , 5 } >>> b = { 10 , 2 , 3 , 4 , 50 } >>> c = { 1 , 50 , 100 } >>> a ^ b ^ c {100, 5, 10} As with the difference operator ( - ), when you specify multiple sets, the operation is performed from left to right. Curiously, the .symmetric_difference() method doesn’t support multiple arguments: Python >>> a = { 1 , 2 , 3 , 4 , 5 } >>> b = { 10 , 2 , 3 , 4 , 50 } >>> c = { 1 , 50 , 100 } >>> a . symmetric_difference ( b , c ) Traceback (most recent call last): ... TypeError : symmetric_difference() takes exactly one argument (2 given) If you try to call .symmetric_difference() with more than one argument, then you get a TypeError exception. You can work around this behavior by chaining calls: Python >>> a . symmetric_difference ( b ) . symmetric_difference ( c ) {10, 100, 5} In this example, you call the method on a . Then, you call the method on the result of the previous call. The final result is the same as with the operator. Remove ads Using Augmented Set Operations The union, intersection, difference, and symmetric difference operators covered in the previous section have augmented variations that you can use to modify a set in place . Remember, sets are mutable data types, so you can add and remove elements from a set in place. Note: Python has a variation of sets called frozenset that’s immutable. This built-in data type works like normal sets but doesn’t allow you to add or remove elements. Additionally, they don’t support augmented operations. For each augmented operator, you’ll have an equivalent method. In the following sections, you’ll learn about these augmented operators and how they work with sets. Augmented Union The augmented union updates a set in place. You can use either the augmented union operator ( |= ) or the .update() method to do this. Here’s the syntax for both: Python Syntax x1 |= x2 [ | x3 | ... | xN ] x1 . update ( x2 [, x3 , ... , xN ]) The part of the syntax that’s enclosed in square brackets is optional. Both tools update the target set ( x1 ) with elements from the other sets. Returning to your event example, say that you’d like to have an up-to-date record of the attendees who have checked in: Python >>> checked_in_attendees = set () >>> id ( checked_in_attendees ) 4364315648 >>> checked_in_attendees |= { "Alice" , "Charlie" } >>> checked_in_attendees {'Charlie', 'Alice'} >>> id ( checked_in_attendees ) 4364315648 >>> checked_in_attendees . update ({ "Linda" , "Bob" }) >>> checked_in_attendees {'Charlie', 'Bob', 'Linda', 'Alice'} >>> id ( checked_in_attendees ) 4364315648 In this example, you first create an empty set using the set() constructor. Then, you use the |= operator to add two people to the checked-in set. Next, you add more people using the .update() method. The built-in id() function lets you check that your set remains the same and that the updates are in-place operations. Augmented Intersection The intersection update allows you to modify a set in place by intersection. You can perform this operation using the augmented intersection operator ( &= ) or the .intersection_update() method. Here’s the required syntax: Python Syntax x1 &= x2 [ & x3 & ... & xN ] x1 . intersection_update ( x2 [, x3 , ... , xN ]) The operator and the method update the target set ( x1 ) with elements from the other sets. As a result, the final version of x1 will hold only the elements found in all the involved sets. For example, say that you have a list of target customers for a marketing campaign, and you only want to keep those who have agreed to receive emails: Python >>> accepted_emails = { "Bob" , "Diana" , "Charlie" } >>> target_customers = { "Alice" , "Bob" , "Charlie" , "Diana" , "Jane" } >>> target_customers &= accepted_emails >>> target_customers {'Charlie', 'Bob', 'Diana'} >>> # Or >>> target_customers = { "Alice" , "Bob" , "Charlie" , "Diana" , "Jane" } >>> target_customers . intersection_update ( accepted_emails ) >>> target_customers {'Charlie', 'Bob', 'Diana'} With the intersection update, you’ve reduced the target customers to those who accepted marketing emails. Augmented Difference The difference update lets you modify a set in place by difference. To run this type of update, you can use the augmented difference operator ( -= ) or the .difference_update() method. Here’s the syntax you should use to run a difference update: Python Syntax x1 -= x2 [ | x3 | ... | xN ] x1 . difference_update ( x2 [, x3 , ... , xN ]) Both the operator and the method update x1 by removing elements found in the rest of the sets. Note: The syntax for the augmented difference operator differs from the syntax of augmented union and augmented intersection. Note that the minus sign ( - ) isn’t used in the optional part of the syntax. Instead, you have to use the union operator ( | ). To learn how the augmented difference works, suppose you have a list of tasks to complete for a Python project and want to remove the ones you’ve just finished: Python >>> todo_list = { ... "Implement user login" , ... "Fix bug #123" , ... "Improve performance" , ... "Write unit tests" ... } >>> completed_tasks = { ... "Fix bug #123" , ... "Improve performance" ... } >>> todo_list . difference_update ( completed_tasks ) >>> todo_list {'Implement user login', 'Write unit tests'} In this example, you use the .difference_update() method to remove the completed tasks. Go ahead and try the -= operator! Remove ads Augmented Symmetric Difference The symmetric difference update allows you to modify a set by symmetric difference. You can perform this operation with the augmented symmetric difference operator ( ^= ) or the .symmetric_difference_update() method. Here’s the required syntax: Python Syntax x1 ^= x2 x1 . symmetric_difference_update ( x2 ) These tools update x1 in place, retaining the elements found in either x1 or x2 , but not in both. Suppose you want to get the list of people who participated in only one session of your event. You can do it with a symmetric difference update: Python >>> morning_attendees = { "Alice" , "Charlie" , "Linda" , "John" , "Jane" } >>> afternoon_attendees = { "Charlie" , "Linda" , "Bob" , "Jane" } >>> whole_day_attendees = set () >>> whole_day_attendees ^= morning_attendees >>> whole_day_attendees . symmetric_difference_update ( afternoon_attendees ) >>> whole_day_attendees {'Bob', 'Alice', 'John'} In this example, you have two initial sets with the list of people who came in the morning and afternoon sessions. Next, you create a new empty set called whole_day_attendees . Then, you use the ^= operator and the .symmetric_difference_update() to update the set with the elements from the initial sets. As a final result, you get the list of people that came to only one session. Comparing Sets You can also use operators and methods to compare two sets. In the context of sets, relational operators like > , < , >= , and <= have a slightly different interpretation than in numerical comparisons. In the following sections, you’ll learn how these operators work with sets and how to interpret their results. You’ll also learn about the equivalent methods. It’s important to note that all the checks in the following sections return a Boolean value rather than a new set. Subsets The subset operation lets you determine whether one set is contained in another. You can use the <= operator or the .issubset() method to perform this check. Here’s the syntax for both the operator and method for the subset check: Python Syntax x1 <= x2 x1 . issubset ( x2 ) A set x1 is a subset of another set x2 if every element of x1 is in x2 . This type of check is commonly used to check whether the first set is contained in the second. For example, suppose you want to prepare a delicious meal. You have the required ingredients for a recipe and the ingredients you currently have in your kitchen. You can quickly check if you have everything you need for your meal with a subset operation: Python >>> required_ingredients = { "cheese" , "eggs" , "milk" } >>> available_ingredients = { "cheese" , "eggs" , "milk" , "sugar" , "salt" } >>> required_ingredients <= available_ingredients True >>> required_ingredients . issubset ( available_ingredients ) True When you run this subset check, you get True as a result. This means that you have all the ingredients for your meal. It’s important to note that a set is considered a subset of itself: Python >>> a = { 1 , 2 , 3 , 4 , 5 } >>> a <= a True >>> a . issubset ( a ) True This result may seem a bit strange at first, but it completely fits the definition: every element of a is in a . Remove ads Proper Subsets With this check, you can determine whether one set is a proper subset of another. To perform this check, you’ll use the < operator. You won’t have a dedicated method. The syntax for a proper subset check is shown below: Python Syntax x1 < x2 A proper subset is a subset with the additional requirement that the compared sets can’t be identical. For example, set x1 is considered a proper subset of set x2 if every element of x1 is in x2 , and x1 isn’t equal to x2 . Note: Two sets are equal when they contain the same elements. You can run this comparison with the equality operator ( == ), which doesn’t consider the order of elements because sets are unordered data types. To illustrate how you could use the proper subset check, say that you’re offering a service with two plans: regular and premium. Using a proper subset check, you can confirm that the regular plan has fewer features than the premium plan: Python >>> regular_plan = { "Tutorials" , "Quizzes" } >>> premium_plan = { "Tutorials" , "Video Courses" , "Quizzes" , "Books" } >>> regular_plan < premium_plan True In this example, when you check whether your regular plan is a proper subset of your premium plan, you get True . This check will warn you against any mistakes while updating the content of your plans. Finally, while a set is considered a subset of itself, it isn’t a proper subset of itself: Python >>> a = { 1 , 2 , 3 , 4 , 5 } >>> a < a False This behavior is consistent with the proper subset definition, which states that both sets can’t be equal. Supersets The superset check lets you determine whether one set contains another. To perform this check, you can use the >= operator or the .issuperset() method. Here’s the syntax for both the operator and method for the superset check: Python Syntax x1 >= x2 x1 . issuperset ( x2 ) A superset is the opposite of a subset. In other words, set x1 is a superset of set x2 if x1 contains every element of x2 . Returning to the meal example, you can also use the superset check to determine whether you have all the required ingredients: Python >>> required_ingredients = { "cheese" , "eggs" , "milk" } >>> available_ingredients = { "cheese" , "eggs" , "milk" , "sugar" , "salt" } >>> available_ingredients >= required_ingredients True >>> available_ingredients . issuperset ( required_ingredients ) True This time, you run the check in the opposite direction. Instead of checking that all the ingredients are available in your kitchen, you’re checking whether your available ingredients contain the required ones. Finally, a set is also considered a superset of itself: Python >>> a = { 1 , 2 , 3 , 4 , 5 } >>> a . issuperset ( a ) True >>> a >= a True Again, this behavior completely fits the definition: a contains every element of a . Remove ads Proper Supersets With this check, you can determine whether one set is a proper superset of another. To perform this check, you’ll use the > operator. As with a proper subset, you won’t have a dedicated method to check for a proper superset. Here’s the syntax for a proper superset check: Python Syntax x1 > x2 A proper superset is also a superset, except that the involved sets can’t be identical. For example, set x1 is a proper superset of set x2 if x1 contains every element of x2 , and x1 is different from x2 . The proper superset check is the opposite of the proper subset check. So, here’s a different approach to the example about service plans: Python >>> regular_plan = { "Tutorials" , "Quizzes" } >>> premium_plan = { "Tutorials" , "Video Courses" , "Quizzes" , "Books" } >>> premium_plan > regular_plan True This time, you check in the opposite direction, checking whether the regular plan is contained in the premium plan but guaranteeing that both plans are different. Finally, a set isn’t a proper superset of itself: Python >>> a = { 1 , 2 , 3 , 4 , 5 } >>> a > a False Once again, this behavior is consistent with the definition of a proper superset, where the compared sets can’t be equal. Disjoint Sets Finally, you have the disjoint check, which allows you to determine if two sets don’t have any elements in common. In this case, you only have a dedicated method called .isdisjoint() . You won’t have an operator. Here’s the syntax for the disjoint check: Python Syntax x1 . isdisjoint ( x2 ) The x1.isdisjoint(x2) call returns True if x1 and x2 have no elements in common. This type of check is useful when you need to ensure that two sets have no overlap. For example, say that you’re coding the order system for a store. You’d like to prevent the purchase of certain products if the user is underage: Python >>> def verify_purchase ( age , selection , restricted_products ): ... if age < 21 and not selection . isdisjoint ( restricted_products ): ... print ( "Purchase denied: selection includes age-restricted products" ) ... else : ... print ( "Purchase approved" ) ... Inside verify_purchase() , you first check whether the current user is under 21 years old. If that’s the case, the user is underage, so you need to verify the selected products. To do that, you use a set disjoint check. Here’s how the function works: Python >>> verify_purchase ( ... age = 18 , ... selection = { "milk" , "bread" , "beer" }, ... restricted_products = { "alcohol" , "beer" , "cigarettes" } ... ) Purchase denied: selection includes age-restricted products >>> verify_purchase ( ... age = 18 , ... selection = { "milk" , "bread" }, ... restricted_products = { "alcohol" , "beer" , "cigarettes" } ... ) Purchase approved >>> verify_purchase ( ... age = 35 , ... selection = { "milk" , "bread" , "beer" }, ... restricted_products = { "alcohol" , "beer" , "cigarettes" } ... ) Purchase approved In the first call, the user is 18 years old and is trying to buy beer, which isn’t allowed for underage users. In the second call, the beer was removed from the order, so the purchase was approved. Finally, if the user is an adult, then they don’t have purchase restrictions. Remove ads Using Other Set Methods So far, you’ve learned a lot about set-specific operations. However, those aren’t the only operations that you can perform on sets. There are a mix of methods that you can call on sets to change their content. You’ll find methods for adding elements to a set and also for removing elements from a set. These are the two generic mutations that you can perform on sets. In the following sections, you’ll learn about these methods and how to use them in your Python code. Adding an Element With .add() The .add() method allows you to add a single element to an existing set. Below is a quick example that shows how this method works: Python >>> employees = { "Alice" , "Charlie" } >>> employees . add ( "John" ) >>> employees {'Charlie', 'John', 'Alice'} >>> employees . add ( "Laura" ) >>> employees {'Charlie', 'John', 'Laura', 'Alice'} >>> employees . add ( "John" ) >>> employees {'Laura', 'Alice', 'Charlie', 'John'} >>> employees . add ( "Jane" , "Bob" ) Traceback (most recent call last): ... TypeError : set.add() takes exactly one argument (2 given) In these examples, you add elements to an existing set. Note that when you call .add() with an element that’s already in the set, nothing happens. Finally, you can only pass one argument to .add() . Otherwise, you get a TypeError exception. Removing an Existing Element With .remove() If you need to remove elements from a set, then use the .remove() method. You can call this method with the element you want to remove. However, keep in mind that you’ll get an exception if the target element isn’t found in the set: Python >>> employees = { "Alice" , "Charlie" , "John" , "Laura" } >>> employees . remove ( "Charlie" ) >>> employees {'John', 'Laura', 'Alice'} >>> employees . remove ( "Linda" ) Traceback (most recent call last): ... KeyError : 'Linda' With .remove() , you can delete one element at a time. When the target element doesn’t exist in the set, you get a KeyError exception. Why a KeyError ? Well, sets are implemented like dictionaries with keys but without associated values. So, set elements are like dictionary keys. Deleting an Existing or Missing Element With .discard() Like .remove() , the .discard() method allows you to remove a single element from an existing set. The difference between both methods is that .discard() doesn’t raise an exception if the element doesn’t exist: Python >>> employees = { "Alice" , "Charlie" , "John" , "Laura" } >>> employees . discard ( "Alice" ) >>> employees {'Charlie', 'John', 'Laura'} >>> employees . discard ( "Linda" ) >>> employees {'Charlie', 'John', 'Laura'} If the element exists in the set, then .discard() removes it. If the element isn’t present in the set, then .discard() does nothing without raising an error. Removing and Returning an Element With .pop() Sometimes, you need to retrieve an element from a set, process it, and then remove it. In that case, you can use the .pop() method, which removes and returns an element from a set. If the target set is empty, then .pop() raises a KeyError exception: Python >>> employees = { "Alice" , "Charlie" , "John" , "Laura" } >>> employee = employees . pop () >>> employee 'Charlie' >>> employee = employees . pop () >>> employee 'John' >>> employees {'Laura', 'Alice'} >>> employees . pop () >>> employees . pop () >>> employees . pop () Traceback (most recent call last): ... KeyError : 'pop from an empty set' The .pop() method removes and returns an arbitrary element from a set in one go. Because sets are unordered data types, you can’t predict which element will be removed. You can assign the removed element to a variable and get a reference as you did with employee . Removing All Elements With .clear() If you ever need to remove all the elements from a set in a single operation, then you can use the .clear() method: Python >>> employees = { "Alice" , "Charlie" , "John" , "Laura" } >>> employees . clear () >>> employees set() The .clear() method comes in handy when you want to reset a set so you can start fresh. C | 2026-01-13T08:49:32 |
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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 Anup Singh Posted on Dec 18, 2025 Why Building Software Should Be as Easy as Ordering Pizza # webdev # ai # showdev # vibecoding Introducing instant website cloning on JustCopy.ai — because you shouldn't have to reinvent the wheel every time you build something. The Problem with Building Software Today Let's be honest: building software in 2025 is still unnecessarily hard. You have an idea. You know exactly what you want. Maybe you've even seen a website that does something similar. But instead of just... getting it, you're stuck spending hours — sometimes days — trying to recreate something that already exists. The rise of "vibe-coding" with AI tools has helped, but it's still a grind. You're prompting, iterating, debugging, prompting again. It's faster than before, sure. But it's still building from scratch. Every. Single. Time. We asked ourselves: why? What If Software Worked Like Pizza? Think about ordering pizza from Domino's. You don't call them up and explain the concept of pizza. You don't describe how dough works or walk them through the chemistry of cheese melting. You just open the app, pick what you want, customize the toppings, and it shows up at your door. Ready to eat. Exactly how you wanted it. That's our vision for software. Browse what exists. Pick what you like. Customize it to fit your needs. Done. That's why we built JustCopy.ai — and that's literally why we named it that. Introducing: Instant Website Cloning Starting today, you can clone any website built on JustCopy.ai in seconds. Here's how it works: Browse our growing library of websites and applications Clone anything you like with one click Customize however you want — change colors, swap out content, add features Ship it No starting from a blank canvas. No explaining your vision to an AI for the fifteenth time. No rebuilding what someone else has already perfected. Just copy. Just customize. Just ship. Why This Matters The best ideas shouldn't be trapped behind technical barriers. Right now, there are entrepreneurs, creators, and dreamers with brilliant concepts who can't bring them to life because building software requires either deep technical skills or deep pockets. That's a massive loss — not just for them, but for all of us who never get to benefit from what they would have built. We believe the future of software isn't about who can code the fastest or prompt the best. It's about making creation accessible to everyone. About removing friction. About getting out of the way and letting people focus on what matters: their ideas, their businesses, their impact. The Bigger Picture Website cloning is just the beginning. We recently shipped Voice AI capabilities — now anyone can add natural voice interactions to their apps. We've added AI Agents that can reason and take autonomous actions. We're building toward a future where creating sophisticated, intelligent applications is as simple as describing what you want. Our team just spun up GPUs and loaded CSM models to power voice interactions. We're actively adding NVIDIA H100s to make responses lightning fast. Every week, we're pushing the boundaries of what's possible. Because here's the thing: what used to take FAANG engineers with 10+ years of experience months to build, you can now create in minutes. That's not hyperbole. That's the future we're actively building. Ready to Try It? Stop building from scratch. Stop spending hours on what should take minutes. 🔍 Browse. 📋 Clone. ✨ Customize. 🚀 Ship. Head over to JustCopy.ai and see for yourself. Your next project is already built — it's just waiting for you to make it yours. — The JustCopy.ai Team 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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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 Popcorn Movies and TV — Movie and TV enthusiasm, criticism and everything in-between. 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 . Popcorn Movies and TV © 2016 - 2026. Let's watch something great! Log in Create account | 2026-01-13T08:49:32 |
https://talkpython.fm/youtube | Talk Python - YouTube 정보 보도자료 저작권 문의하기 크리에이터 광고 개발자 약관 개인정보처리방침 정책 및 안전 YouTube 작동의 원리 새로운 기능 테스트하기 © 2026 Google LLC, Sundar Pichai, 1600 Amphitheatre Parkway, Mountain View CA 94043, USA, 0807-882-594 (무료), yt-support-solutions-kr@google.com, 호스팅: Google LLC, 사업자정보 , 불법촬영물 신고 크리에이터들이 유튜브 상에 게시, 태그 또는 추천한 상품들은 판매자들의 약관에 따라 판매됩니다. 유튜브는 이러한 제품들을 판매하지 않으며, 그에 대한 책임을 지지 않습니다. 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 | 2026-01-13T08:49:32 |
https://dev.to/camptocamp-odoo/oca-port-new-oca-tool-to-help-with-modules-migration-1aa#comments | oca-port: new OCA tool to help with modules migration - 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 Sébastien Alix for Camptocamp Business Solutions Posted on Aug 15, 2022 • Edited on Aug 16, 2022 oca-port: new OCA tool to help with modules migration # odoo # oca # github # git The OCA ( Odoo Community Association ) has a new tool: OCA port . It helps forward porting and back porting changes on modules from one branch to another, making module maintenance and migration easier. Story It all started with the migration of an Odoo project composed of roughly ~350 OCA modules from 13.0 to 14.0 back in 2021. As usual with big migrations on active projects, new fixes and improvements were added from time to time even after the migration process began, making already migrated modules on 14.0 outdated. To handle this migration we needed to: migrate OCA modules from 13.0 to 14.0 (as usual), port all fixes and features done in 13.0 on the already migrated 14.0 modules (even more important) make it easy & comfortable for the developer That's how oca-port was born! Quick example Go to a local copy of a repository. Let’s say you want to check if the whole module can be migrated or if some changes need to be ported to the targeted version: $ cd path/to/OCA/stock-logistics-workflow $ oca-port 14.0 15.0 stock_split_picking Enter fullscreen mode Exit fullscreen mode Resulting in this kind of report: stock_split_picking already exists on 15.0, checking PRs to port... 1 pull request(s) related to 'stock_split_picking' to port from origin/14.0 to origin/15.0 1) PR #935 (https://github.com/OCA/stock-logistics-workflow/pull/935) [14.0][FW] stock_split_picking: Port PR from 13.0 to 14.0: By sonhd91, merged at 2021-12-20T08:21:17Z => Not ported: stock_split_picking => 2 commit(s) not (fully) ported Enter fullscreen mode Exit fullscreen mode To process the migration (or the port of missing changes), you pass the fork of the repository on which you have write access (this is the name of your git remote, be sure to add it first): $ git remote add camptocamp git@github.com:camptocamp/stock-logistics-workflow.git $ oca-port 14.0 15.0 stock_split_picking --fork = camptocamp Enter fullscreen mode Exit fullscreen mode The same report will be displayed but this time with a user prompt: [...same report than above...] - Port PR #935 (https://github.com/OCA/stock-logistics-workflow/pull/935) [14.0][FW] stock_split_picking: Port PR from 13.0 to 14.0... Port it? [y/N]: Enter fullscreen mode Exit fullscreen mode Let's port these changes by answering 'yes': - Port PR #935 (https://github.com/OCA/stock-logistics-workflow/pull/935) [14.0][FW] stock_split_picking: Port PR from 13.0 to 14.0... Port it? [y/N]: y Create branch oca-port-pr-935-from-14.0-to-15.0 from origin/14.0... Apply ba5840f8 [FIX] stock_split_picking: README... Apply 2aeeffcf [IMP] stock_split_picking: allow splitting ppickings waiting for other operations... 🎉 Last PR processed! 🎉 Push branch 'oca-port-pr-935-from-14.0-to-15.0' to remote 'camptocamp'? [y/N]: y Create a draft PR from 'oca-port-pr-935-from-14.0-to-15.0' to '15.0' against OCA/stock-logistics-workflow? [y/N]: y PR created => https://github.com/OCA/stock-logistics-workflow/pull/1058 Enter fullscreen mode Exit fullscreen mode Roadmap Blacklist modules and pull requests that shouldn’t be migrated and share this with other contributors by saving these data in a file part of the repository. Improve its usage as a Python package and generate the output as JSON or CSV (this will help to get a report of things that still need to be ported for a bunch of modules for instance, and estimate the work) Visit https://github.com/OCA/oca-port for more details and options! Contributors of this post: Sébastien Alix Simone Orsi Damien Crier Gilles Cherix Denis Leemann 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 Camptocamp Business Solutions Follow More from Camptocamp Business Solutions Odoo: Customizing the values when timesheeting # odoo # widget # tips # camptocamp 💎 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. Made with love and Ruby on Rails . Forem © 2016 - 2026. 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https://docs.suprsend.com/docs/inbox-flutter#usenotifications-hook | Flutter (Headless) - SuprSend, Notification infrastructure for Product teams Skip to main content SuprSend, Notification infrastructure for Product teams home page Search... ⌘ K Community Trust Center Platform Status Postman Collection GETTING STARTED What is SuprSend? Quick Start Guide Best Practices Plan Your Integration Go-live checklist CORE CONCEPTS Templates Users Events Workflow Notification Categories Preferences Tenants Lists Broadcast Objects Translations DLT Guidelines Whatsapp Template Guidelines WORKFLOW BUILDER Design Workflow Node List Workflow Settings Trigger Workflow Validate Trigger Payload Tenant Workflows Notification Inbox Overview Multi Tabs React Javascript (Angular, Vuejs etc) React Native Flutter (Headless) PREFERENCE CENTRE Embedded Preference Centre Javascript Angular React VENDOR INTEGRATION GUIDE Overview Email Integrations SMS Integrations Android Push Whatsapp Integrations iOS Push Chat Integrations Vendor Fallback Tenant Vendor INTEGRATIONS Webhook Connectors MONITORING & DEBUGGING Logs Audit Logs Error Guides MANAGE YOUR ACCOUNT Authentication Methods Contact Us Get Started SuprSend, Notification infrastructure for Product teams home page Search... ⌘ K Ask AI Contact Us Get Started Get Started Search... Navigation Notification Inbox Flutter (Headless) Documentation API Reference Management API CLI Reference Developer Resources Changelog Documentation API Reference Management API CLI Reference Developer Resources Changelog Notification Inbox Flutter (Headless) OpenAI Open in ChatGPT Integrate SuprSend inbox in Flutter using the headless SDK and hooks. OpenAI Open in ChatGPT SuprSend uses flutter hooks to provide inbox functionality in flutter applications. Installation 1 Project's pubspec.yaml changes Add the following line of code inside dependencies in the pubspec.yaml file under the dependencies section pubspec.yaml Copy Ask AI dependencies : flutter : sdk : flutter suprsend_flutter_inbox : "^0.0.1" 2 Run flutter pub get in the terminal Bash Copy Ask AI $ flutter pub get Initialization Enclose your Material App inside SuprSendProvider and pass the workspace key, workspace secret, distinct_id, and subscriber_id . main.dart Copy Ask AI import 'package:suprsend_flutter_inbox/main.dart' ; SuprSendProvider ( workspaceKey : < your workspace key > , workspaceSecret: < your workspace secret > , distinctId: distinct_id, subscriberId: subscriber_id, child: YourAppComponent() ) SuprSend hooks can only be used inside of SuprSendProvider. Adding SuprSend inbox component useBell hook This hook provides unSeenCount, markAllSeen which is related to the Bell icon in the inbox unSeenCount : Use this variable to show the unseen notification count anywhere in your application. markAllSeen : Used to mark seen for all notifications. Call this method on clicking the bell icon so that it will reset the notification count to 0. bell.dart Copy Ask AI import 'package:suprsend_flutter_inbox/main.dart' ; final bellData = useBell (); // bellData structure: { "unSeenCount" : int , "markAllSeen" : () =>void } useNotifications hook This hook provides a notifications list, unSeenCount, markClicked, and markAllSeen. notifications : List of all notifications. This array can be looped and notifications can be displayed. unSeenCount : Use this variable to show the unseen notification count anywhere in your application. markClicked : Method used to mark a notification as clicked. Pass notification id which is clicked as the first param. code.dart Copy Ask AI import 'package:suprsend_flutter_inbox/main.dart' ; final notifData = useNotifications (); // notifData structure: { "notifications" : List < Notification > , "unSeenCount" : int , "markAllSeen" : () =>void "markClicked" :( n_id ) =>void } // Notification structure: { "n_id" : string , "n_category" : string , "created_on" : int , "seen_on" : int , "message" : { "header" : string , "text" : string , "url" : string , "extra_data" : string , "avatar" : { "action_url" : string , "avatar_url" : string }, "subtext" : { "text" : string , "action_url" : string } "actions" :[ { "name" : string , "url" : string } ] } } Example implementation Example implementation can be found here . Was this page helpful? Yes No Suggest edits Raise issue Previous Embedded Preference Centre How to integrate a Notification Preference Center into your website and add its link to your notification templates. Next ⌘ I x github linkedin youtube Powered by On this page Installation Initialization Adding SuprSend inbox component useBell hook useNotifications hook Example implementation | 2026-01-13T08:49:32 |
https://zeroday.forem.com/new/career | New Post - Security 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. 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 Security Forem Close Join the Security Forem Security Forem is a community of 3,676,891 amazing developers Continue with Apple Continue with Google Continue with Facebook Continue with Forem Continue with GitHub 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 Security Forem? 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 Security Forem — Your central hub for all things security. From ethical hacking and CTFs to GRC and career development, for beginners and pros alike 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 . Security Forem © 2016 - 2026. Share. Secure. Succeed Log in Create account | 2026-01-13T08:49:32 |
https://www.devcycle.com/features/feature-rollouts | Feature Rollouts | DevCycle Product Solutions Resources Pricing Docs Book Demo Login Create Account Scheduled and Gradual Rollouts What are Feature Rollouts? Feature rollouts are when you can release new features to your users gradually. It allows you to ensure a good user experience before releasing the feature to a wider audience. Feature flags can be used to decide who gets access to a new feature. On the DevCycle dashboard, you can slowly roll out a feature to a certain percentage of your users. You also have the ability to determine which users it will be rolled out to based on factors such as location, device type and more. From there, you can measure the impact of a feature as it’s released to your user base. COMMON QUESTIONS When Should Controlled Releases Be Used In Rollouts? Controlled releases should always be used in rollouts. They help minimize risk by only showing it to a subset of your users and allow you to gather feedback on the feature you're releasing while ensuring it’s working as intended. There are two types of controlled rollouts: releasing a new feature to a certain percentage of customers or releasing it according to what they have in common, like location or IP address. For a percentage rollout, the development team starts with a small release to 1% of their customers. The team will now measure different CX metrics, such as whether the functionality seems to be working well and increasing customer satisfaction. If the release goes well, the team will then roll out to 10% of their customers and more as it continues to perform as expected. With releases based on common attributes, a team could release a feature to only Toronto, then to Canada, North America and then the rest of the world. You could also release a feature for beta testing to a small group of volunteers. The team can select beta testers using their unique user ID. This way, the new feature will only be released for certain users. This type of controlled rollout is often combined. A team might start by releasing to internal users by IP address. Then they might release it to the beta test group. Next they might release to 1% of the entire user base. And then they would continue the rollout to everyone. Execution How To Create A Percentage Rollout The most common way to implement a percentage rollout is by using feature flags. DevCycle's targeting capabilities to carry out controlled rollouts in a variety of ways. You can use feature flags to target your users based on any metric. This allows you to control the rollout of features for both controlled rollouts and other purposes including subscription models, paywalls, and unfinished features. Feature flags are a great way to make the process of targeting easier because they make rollback as simple as the click of a button. All you have to do is switch off the feature toggle, and your application is back to normal. This way, you can easily fix bugs without worrying about how they will impact users. START USING PERCENTAGE ROLLOUTS Create A Free Account With DevCycle DevCycle is a feature management tool that allows you to leverage feature flags to ship faster, reduce risk and maximize the impact of your canary release. By leveraging feature flags, you can increase your release cadence by minimizing release complexity. Through continuously deploying and testing in production, you can organize your feature flags in several environments with our APIs without needing to leave your workflow. Developers, product, and marketing teams can toggle a feature on or off in the DevCycle dashboard to control who has access. Your team can also predetermine a rollout schedule to specify which users have access to a new feature and at what date. This means you can create a predetermined rollout period for your release and let DevCycle gradually deploy it based on the rollout schedule your team set up. DevCycle also enables you to maximize the impact of your releases through zero latency experimentation build for developers. Iterate and optimize features with the ability to dynamically modify content in production without redeployments. Engineering teams can employ continuous integration and continuous delivery to keep up with the competition. This practice will allow for faster development cycles, as well as the ability to deploy new features without risk of errors. Practices like implementing percentage rollouts also help mitigate risk. Want to use feature flags to start using percentage rollouts and improve your software development workflow? Get started with a free trial of DevCycle. Footer DevCycle What are Feature Flags? OpenFeature Create a Free Account Request a Demo Pricing Resources Documentation SDKs APIs Integrations Blog Contact Support Company About Us Careers Terms of Service Security & Compliance Privacy Policy Contact Us Discord X GitHub LinkedIn Bluesky © 2026 DevCycle All rights reserved. | 2026-01-13T08:49:32 |
https://dev.to/udoka033/how-to-implement-darklight-themes-in-your-web-apps-2ah4 | How to Implement Dark/Light Themes in Your Web Apps - 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 Kasie Udoka Success Posted on Jul 18, 2024 • Edited on Sep 3, 2024 How to Implement Dark/Light Themes in Your Web Apps # webdev # javascript # tutorial # css Have you ever toggled between dark and light themes on a website and thought, "I wish my site could do that"? Well, now it can. In this article, I'll show you how to implement dark and light modes in your web projects using HTML, CSS, and JavaScript, giving your users the best visual experience. Prerequisite: A basic understanding of HTML and CSS is required to comprehend this tutorial. Dark/light theme Implementation The key components of setting up a dark mode/light mode on websites are: A webpage A button for switching between the themes The theme or color to be switched The logic behind switching the theme and button text. A Webpage Set up your project <!DOCTYPE html> <html lang= "en" > <head> <meta charset= "UTF-8" > <meta name= "viewport" content= "width=device-width, initial-scale=1.0" > <title> Virtual Tour App </title> </head> <body> <div class= "hero-sec" > <div class= "col1" > <h1> Everyday Is a Journey </h1> <p> Visit any Location Virtually, Anytime, Anywhere </p> <button> Tour </button> </div> <div class= "col2" > <img src= "img.jpg" alt= "landscape" width= "560px" > </div> </div> </body> </html> Enter fullscreen mode Exit fullscreen mode Output of plain web page A Toggle Button It is important to add the theme toggle button. This is the button that triggers the change of color from light mode to dark mode and vice versa. <button id= "toggle-button" > Dark mode </button> Enter fullscreen mode Exit fullscreen mode Light/dark mode theme This is a crucial step because two themes or colors are involved here. We need a way to attach different styles to the web page with few lines of code. We will be using CSS variables for theming. Please read my article on CSS Variables if it sounds new to you . Step 1: Declare the style for the light theme :root { --bg : #fafaf3 ; --color : #0A0A0A } // This is the light theme ; the default theme Enter fullscreen mode Exit fullscreen mode Step 2: Declare the class for the dark theme .dark { --bg : #0A0A0A ; --color : #ffffff ; } // This is the class that will be added onclick of the button Enter fullscreen mode Exit fullscreen mode Note: The variable names must be the same. This can be done without variables by using only the body element. However, it is better to use CSS variables because many occasions require more than the background color to be changed. Some web app theming requires changing text colors, border colors, shadows, etc. So using a variable allows full control of all elements, especially in large applications. Let's complete the styling of our web page. Ensure your CSS is linked to the HTML file. :root { --bg : #fafaf3 ; --color : #0A0A0A } // This is the light theme ; the default theme .dark { --bg : #0A0A0A ; --color : #ffffff ; } body { background : var ( --bg ); color : var ( --color ); font-family : monospace } .hero-sec { display : flex ; justify-content : space-evenly ; color : var ( --color ); margin-top : 48px ; } .col1 { margin-top : 6rem ; height : 40% ; } h1 { font-size : 2.5rem ; } p { font-size : 1.3rem ; } button { padding : 1rem 2rem ; background-color : #3f51b5 ; color : #ffffff ; border : none ; cursor : pointer ; } .hero-sec button { font-size : 1.3rem ; } Enter fullscreen mode Exit fullscreen mode Output The logic behind switching themes When a user clicks the toggle button, we expect two things to happen. The theme or color mode of the website should change. The text on the button should change. To Change the theme Manipulate the DOM (Document Object Model) to get the button and body of the web page. Declare a function to add "dark" class to the body element (which we already declared in the css). Call the function once a user clicks the dark/light mode button. Ensure your JS is linked to your HTML. const toggleBtn = document . getElementById ( " toggle-button " ) const body = document . body function toggleTheme () { body . classList . toggle ( " dark " ) } toggleBtn . addEventListener ( ' click ' , toggleTheme ); Enter fullscreen mode Exit fullscreen mode To change the text Add another block of code to the toggleTheme function. This code simply means that If the body contains the class "dark", toggle text to "Light mode" and vice versa. if ( body . classList . contains ( " dark " )) { toggleBtn . textContent = " Light Mode " ; } else { toggleBtn . textContent = " Dark Mode " ; } Enter fullscreen mode Exit fullscreen mode This can be done in one line for cleaner code. toggleBtn . textContent = body . classList . contains ( " dark " )? " Light Mode " : " Dark Mode " Enter fullscreen mode Exit fullscreen mode Yes, You can switch themes now. Cool Right? Check the attached video for full demo. In Conclusion By following the steps outlined in this tutorial, you can provide your users with the flexibility to choose their preferred theme, making your web app more engaging and accessible. If you enjoyed my article you can Buy Me A Coffee to Support my Work Read my other articles on Progressive Web Apps , Innermost workings of the web , CSS Variables , A Beginner's guide to front-end dev and more . Please Like, Comment, and Follow for more web-dev and tech-related articles. 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 Kasie Udoka Success Follow Front-end developer creating intuitive and user-friendly interface for websites. Transforming complexity into clarity by writing. Pronouns She/Her Joined Apr 20, 2024 More from Kasie Udoka Success Burnout to Breakthrough: Rediscovering My Passion in Tech and Writing # productivity # career # webdev # beginners Progressive Web Apps (PWA): A Comprehensive Guide # javascript # webdev # react # beginners CSS Variables (CSS Custom properties) for Beginners # webdev # beginners # css # javascript 💎 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/not_varunkv/how-to-create-product-gifs-for-your-landing-page-no-video-editing-required-5b89 | How to Create Product GIFs for Your Landing Page (No Video Editing Required) - 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 Varun Krishnan Posted on Jan 2 How to Create Product GIFs for Your Landing Page (No Video Editing Required) # productivity # webdev # design # tutorial The Brochure vs. The Demo Imagine walking into an electronics store. You see a sleek new laptop. Do you just stare at the turned-off screen? No. You touch the trackpad. You open a window. You want to see it work. Your landing page is that store. But most SaaS landing pages are just... brochures. They have beautiful, high-res, completely static screenshots. They force the user to read about the features instead of seeing the features. And reading is hard work. The 3-Second Rule You have roughly 3 seconds to convince a visitor to stay on your site. Static Image: The brain has to process the text, look at the UI, map the text to the UI, and simulate the interaction mentally. Cognitive load: High. GIF/Video: The brain sees movement. It instantly understands "Clicking X does Y." Cognitive load: Low. Motion is a cheat code for attention. Why Not Just Use Video? "Okay," you say. "I'll just embed a YouTube video." You could. But videos are heavy. They require a click to play. They have sound (risky). They take over the experience. GIFs are the sweet spot. Autoplay: No click needed. Silent: Safe for work. Looping: Reinforces the core value proposition. Lightweight: Loads faster than a 4K video embed. The Problem with GIF Creation Creating a polished product GIF used to be painful. Record screen (OBS/Loom). Import to Premiere/After Effects. Add a device frame overlay. Mask the video to fit the screen. Add a background. Export and pray the file size isn't 50MB. Most developers (and even designers) don't have time for this. So they settle for static screenshots. The Shotframe Solution: GIFs in the Browser We added GIF support to Shotframe to solve exactly this problem. We wanted the polish of After Effects with the speed of a screenshot tool. How it works: Record Your Screen: Use any tool to grab a short clip of your key feature. (Keep it under 5 seconds for best results). Drop into Shotframe: Upload your video file just like an image. Frame It: Choose a premium device frame (iPhone, MacBook, Browser). Shotframe handles the masking automatically. Style It: Add a custom gradient background (use BlendIt to match your brand colors!). Export: Download a highly optimized GIF ready for your landing page. Best Practices for Product GIFs If you're going to use GIFs, do it right: Keep it Short: 3-5 seconds max. Focus on ONE interaction. Start with Action: Don't have 2 seconds of a stillness at the start. Movement should happen immediately. High Contrast: Make sure the cursor and the button clicks are visible. Optimization: Don't upload a 20MB GIF to your hero section. Use Shotframe’s export settings to balance quality and size. Conclusion Your product is dynamic. Your marketing should be too. Stop letting your hard work sit still. Make it move. [Try the Shotframe GIF Maker →] 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 Varun Krishnan Follow A fullstack developer, building products to solve real-world problems. Joined Nov 12, 2025 More from Varun Krishnan How to Make Product Mockups That Don't Look Like Templates # webdev # tutorial # productivity # showdev How to Create a Gradient from Any Photo (Step-by-Step) # design # css # tutorial # productivity The 48-Hour Button: Fighting Supabase, Google Auth, and "Scope Creep" # webdev # ai # nextjs # saas 💎 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/nemesiscodex/a-better-way-to-run-git-worktrees-finally-1lh9 | A Better Way to Run Git Worktrees Finally! - 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 Julio Daniel Reyes Posted on Dec 16, 2025 A Better Way to Run Git Worktrees Finally! # git # vibecoding # programming # ai I recently found git-gtr, a small CLI by the CodeRabbit team that wraps native Git worktrees and makes them practical for daily use. Repository: https://github.com/coderabbitai/git-worktree-runner Install it, create an alias for it alias gw="git gtr" (Easier to remember, but up to you!). Navigate to your repository gw new <branchName> will create a new worktree. The first time it will create a new folder in the parent directory <repo>-worktrees , inside it a folder <branchName> for your newly created worktree. gw editor <branchName> will open the configured code editor. gw ai <branchName> will start your cli (claude, codex, opencode) gw run <branchName> <command> will run commands on that worktree gw rm <branchName> to remove it once you are done. Full demo in my new vid. Would you use this? or do you prefer the original git command? 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 Julio Daniel Reyes Follow Hi! I'm a Software Engineer passionate about technology Location Paraguay Work Software Engineer at Bairesdev Joined Dec 13, 2019 Trending on DEV Community Hot If a problem can be solved without AI, does AI actually make it better? # ai # architecture # discuss I Didn’t “Become” a Senior Developer. I Accumulated Damage. # programming # ai # career # discuss What was your win this week??? # weeklyretro # discuss 💎 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 | 2026-01-13T08:49:32 |
https://dev.to/renuo/extending-hotwire-beyond-ruby-on-rails-k7c#comments | Extending Hotwire beyond Ruby on Rails - 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 Daniel Bengl for Renuo AG Posted on Mar 8, 2024 • Edited on Oct 1, 2024 • Originally published at renuo.ch Extending Hotwire beyond Ruby on Rails # rails # hotwire # bunjs # webdev This blog article is inspired by a Hotwire Turbo streams tutorial for Sinatra . When you search for Hotwire tutorials on Google, you’ll find that most of the results are related to Ruby on Rails. Even the Hotwire guides predominantly use Ruby on Rails as an example for implementing Turbo Streams. This does not really come as a surprise, as the framework has been created by the same company behind the Ruby on Rails framework. However, it’s important to recognize that Hotwire is not exclusively a Rails framework. In this blog article, I aim to convince you that Hotwire can be used beyond the Rails context, especially Turbo, its core feature. Goals In this blog article, I will explain: Setting up a BunJS Application Implementing client and server-side Web Sockets Using turbo streams to update the UI Creating a stimulus controller attached to the DOM Step 1: Set up a BunJS Application Initially, I considered using Java Spring for this blog, but I encountered challenges with Web Sockets. Instead, I opted for a much simpler TypeScript application. Let’s start by initializing a new BunJS application: mkdir bunjs-turbo-demo cd bunjs-turbo-demo bun init Enter fullscreen mode Exit fullscreen mode Now, let’s run the application: bun run index.ts Hello via Bun! Enter fullscreen mode Exit fullscreen mode Step 2: Implement a Simple Web Socket / HTTP Server with BunJS Web Sockets serve as the backbone for real-time communication in our project. In this step, we’ll create a basic Web socket HTTP server using Bun. Web Sockets are essential for enabling bidirectional communication between clients (such as web browsers) and the server. The Multiple Publisher - Multiple Subscriber Pattern Our approach involves implementing the multiple publisher - multiple subscriber pattern . Here’s how it works: Client Interaction : Clients (users' web browsers) initiate actions, such as sending chat messages or requesting updates. These interactions trigger Web Socket connections to the server. Server Processing : The server receives messages from multiple clients. It processes these messages and prepares appropriate responses. Broadcasting Updates : When a client sends a message (e.g., a new chat message), the server broadcasts it to all connected clients. This ensures that everyone receives the latest updates in real time. Seamless Communication : Web Sockets allow seamless, low-latency communication. Clients can instantly receive updates without the need for manual page refreshes. Here is a simple sequence diagram showing the core idea of this project: Implement the server For brevity, I’ve omitted the code for view helpers such as layoutHTML and chatRoomHTML . These helpers handle rendering HTML components and chat room layouts. While important, their details won’t significantly impact the core concepts discussed in this blog. const topic = " chatroom " ; Bun . serve ({ port : 8080 , fetch ( req , server ) { const url = new URL ( req . url ) if ( url . pathname === " / " ) return new Response ( layoutHTML ( " Chatroom " , chatRoomHTML ()), { headers : { " Content-Type " : " text/html " , } }) if ( url . pathname === " /subscribe " ) { if ( server . upgrade ( req )) { return } return new Response ( " Couldn't upgrade to a WebSocket connection " ) } return new Response ( " 404! " ); }, websocket : { open ( ws ) { console . log ( " Websocket opened " ) ws . subscribe ( topic ) ws . publishText ( topic , messageHTML ( " Someone joined the chat " )) }, message ( ws , message ) { console . log ( " Websocket received: " , message ) ws . publishText ( topic , messageHTML ( `Anonymous: ${ message } ` )) }, close ( ws ) { console . log ( " Websocket closed " ) ws . publishText ( topic , messageHTML ( " Someone left the chat " )) }, publishToSelf : true } }) Enter fullscreen mode Exit fullscreen mode Implement the client The application is incomplete without the client, which connects to the Web Socket server. Following the Web Socket server connection documentation, connecting to the backend is straightforward: const client = new WebSocket ( " ws://localhost:8080/subscribe " ) const form = document . getElementById ( " chat-form " ) const chatFeed = document . getElementById ( " chat-feed " ) client . addEventListener ( " message " , ( event ) => { chatFeed . innerHTML += event . data }) form . addEventListener ( " submit " , ( event ) => { event . preventDefault () const formData = new FormData ( form ) const message = formData . get ( " message " ) client . send ( message ) form . reset () }) Enter fullscreen mode Exit fullscreen mode Don't forget to add the route for the JavaScript file to the backend and include it inside your view using a module script tag. Also, make sure to implement the backend response. The problem As you can see here, every change in UI needs to be manually implemented. At the moment, we are listening to a single event and updating one single element. When the application grows in complexity, the JavaScript code grows, too. What if I told you that we can "almost" completely eliminate the client code by introducing Turbo streams? Step 3: Implement Turbo streams Turbo is a vital part of the Hotwire Framework. It enables you to dramatically reduce the amount of custom JavaScript you need to write. The most relevant feature for this application are the turbo streams. They enable us to deliver page changes in the form of HTML over the wire. Importing Turbo is as simple as including this snippet of code inside our layout file: <script type= "module" > import hotwiredTurbo from ' https://cdn.jsdelivr.net/npm/@hotwired/turbo@8.0.3/+esm ' </script> Enter fullscreen mode Exit fullscreen mode In order to use Web Sockets for Turbo streams in the frontend, we can use the following snippet from the stream documentation : <turbo-stream-source src= "ws://localhost:8080/subscribe" /> Enter fullscreen mode Exit fullscreen mode In order to update the UI when a message is sent, we broadcast the following HTML through Web Sockets: <turbo-stream action= "append" target= "chat-feed" > <template> <p class= "notice" > Anonymous: Hello World! </p> </template> </turbo-stream> Enter fullscreen mode Exit fullscreen mode This method of HTML updates stands out for its transparency and simplicity. Firstly, we select an element with the #chat-feed selector and then append to it the contents of the broadcasted template. In this case, a paragraph containing the user message. This also eliminates almost all the client-side JavaScript needed for page update. Step 4: Implement Form Controller Before introducing turbo, we added a simple event listener to reset the Form after the data has been sent to the server. We now need to bring the functionality back, but without reusing the old code. We could use a turbo-stream to reset the form or even a turbo-frame, but rather than using that, I decided to use another library of the Hotwire framework, namely Stimulus: Stimulus is a JavaScript framework with modest ambitions. It doesn’t seek to take over your entire front-end—in fact, it’s not concerned with rendering HTML at all. Instead, it’s designed to augment your HTML with just enough behavior to make it shine. https://stimulus.hotwired.dev/ This is a simple code snippet for the Form Stimulus controller: import { Application , Controller } from " https://cdn.jsdelivr.net/npm/stimulus@3.2.2/+esm " class FormController extends Controller { clear () { this . element . reset () } } const application = Application . start (); application . register ( " form " , FormController ); Enter fullscreen mode Exit fullscreen mode This is what the form HTML looks like, with data attributes used to attach the controller to the DOM and hook the events up to the corresponding controller methods: <form id= "chat-form" action= "/submit" method= "post" data-controller= "form" data-action= "turbo:submit-end->form#clear" > <label for= "message-input" > Message: </label> <input name= "message" data-form-target= "input" required > <input type= "hidden" name= "clientId" value= "${clientId}" > <input type= "submit" value= "Send" > </form> Enter fullscreen mode Exit fullscreen mode The event that works best for form submission in that case is turbo:submit-end . Following the documentation of Stimulus descriptors, we can call the #clear() method after the form submission event. We are not using the submit event because this would clear the form prematurely. Conclusion Hotwire is a JavaScript framework that helps us make applications more interactive while keeping the JavaScript code to a minimum. While the framework has been created by the authors of Ruby on Rails, the framework itself is backend agnostic. Turbo streams enable us to update client user interfaces asynchronously without the need for any (in some cases, just very little) frontend code. Stimulus enables us to add simple JavaScript behavior to our HTML with the use of Stimulus Controllers and data-attributes. Where can I find the source? You can find the complete chatting application with additional features such as: Client identification via Query Parameters Random username generation Real-time user list The GitHub Repository for this project can be found here: https://github.com/CuddlyBunion341/bunjs-turbo-demo 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 Renuo AG Follow More from Renuo AG Shopify's 2000 # rails # ruby Small Dev Fascination # rails # ruby web-console and processes # ruby # rails # debugging 💎 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/t/career/page/828 | Career Page 828 - 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 Career Follow Hide This tag is for anything relating to careers! Job offers, workplace conflict, interviews, resumes, promotions, etc. Create Post submission guidelines All articles and discussions should relate to careers in some way. Pretty much everything on dev.to is about our careers in some way. Ideally, though, keep the tag related to getting, leaving, or maintaining a career or job. about #career A career is the field in which you work, while a job is a position held in that field. Related tags include #resume and #portfolio as resources to enhance your #career Older #career posts 825 826 827 828 829 830 831 832 833 Posts Left menu 👋 Sign in for the ability to sort posts by relevant , latest , or top . Right menu 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 | 2026-01-13T08:49:32 |
https://dev.to/lingarao_yechuri_2f59259c/navigating-long-ai-chats-is-broken-so-i-built-a-chrome-extension-to-fix-it-54j#why-i-built-this | Navigating Long AI Chats Is Broken — So I Built a Chrome Extension to Fix It - 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 Lingarao Yechuri Posted on Jan 12 Navigating Long AI Chats Is Broken — So I Built a Chrome Extension to Fix It # chatgpt # gemini # productivity # ux If you regularly use ChatGPT, Claude, or Gemini, you’ve probably faced this problem 👇 You had an amazing response 50 messages ago , but now: Endless scrolling Cmd/Ctrl + F doesn’t help much Context is lost Gemini loads history lazily, making it even worse Long AI conversations quickly become unusable once they grow past a certain point. The Problem AI chats are great for: Debugging complex issues Research and learning Long brainstorming sessions Iterative prompt refinement But current chat UIs are not designed for long-term navigation . Common issues: No structured overview of prompts Hard to jump between questions Re-finding past answers is painful Each platform handles history differently (especially Gemini) As conversations grow, signal gets buried under noise . The Solution: Prompt Navigation for AI Chats I built a Chrome extension that adds prompt-level navigation to AI chat platforms. Instead of scrolling endlessly, you get: A structured list of prompts One-click jump to any question Faster navigation across long chats A consistent experience across ChatGPT, Claude, and Gemini Think of it as a table of contents for your AI conversation . How It Works The extension: Detects user prompts in the current chat Builds a navigable list in a side panel Lets you instantly jump to any prompt-response pair Works entirely on the client side (no backend, no data leaving your browser) Gemini-specific note Gemini loads older messages dynamically as you scroll. Because of this, the extension can only index the currently loaded prompts . Once you click an older prompt, Gemini loads more history, and the list updates progressively. This is a platform limitation — not a data or permission issue. Use Cases This extension is especially useful if you: Debug long coding sessions Revisit research-heavy conversations Refine prompts over multiple iterations Use AI as a learning or thinking partner Switch between multiple AI platforms daily Instead of restarting chats or copy-pasting summaries, you can navigate and reuse context efficiently . Why I Built This Many people suggest: “Just ask the LLM to summarize and start a new chat.” That works — but it breaks flow. I wanted: Zero disruption No re-prompting No backend APIs A simple UX improvement that should’ve existed by default So I built it. What’s Next I’m actively improving it based on feedback: Better prompt grouping Cross-chat reuse ideas Performance improvements for very long sessions If you spend hours inside AI chats, this extension is meant for you. here is the extension Feedback and suggestions are welcome 👋 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 Lingarao Yechuri Follow I am Web developer Joined Dec 18, 2025 Trending on DEV Community Hot If a problem can be solved without AI, does AI actually make it better? # ai # architecture # discuss Stop Overengineering: How to Write Clean Code That Actually Ships 🚀 # discuss # javascript # programming # webdev When is a side project worth committing to? # ai # gemini # sideprojects # showdev 💎 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 | 2026-01-13T08:49:32 |
https://talkpython.fm/episodes/show/534/diskcache-your-secret-python-perf-weapon#takeaways-anchor | Episode #534 - diskcache: Your secret Python perf weapon | Talk Python To Me Podcast TalkPython [ ' Podcast ' ] Episodes Courses Live stream Guests Merch Blog Book New course: Agentic AI for Python Devs Black Friday deals: AI courses, full course library, and the book. --> diskcache: Your secret Python perf weapon Episode #534, published Mon, Jan 12, 2026, recorded Fri, Dec 19, 2025 Episode Deep Dive Links Transcript Download It's BLACK FRIDAY at Talk Python Get the Black Friday deals --> Guests and sponsors Vincent D. Warmerdam Talk Python Talk Python Your cloud SSD is sitting there, bored, and it would like a job. Today we’re putting it to work with DiskCache, a simple, practical cache built on SQLite that can speed things up without spinning up Redis or extra services. Once you start to see what it can do, a universe of possibilities opens up. We're joined by Vincent Warmerdam to dive into DiskCache. Play on YouTube Watch the live stream version Overcast Apple Castbox PocketCasts RSS RadioPublic Spotify Pro Edition --> YouTube Canary Every episode in your player of choice Episode Deep Dive Guest Introduction Vincent Warmerdam joins Michael Kennedy to dive deep into DiskCache. Vincent has an extensive background in data science and machine learning, which is what many in the Python community know him from. He currently works at Marimo ( marimo.io ), a company building modern Python notebooks that take lessons from Jupyter and apply a fresh, reactive approach. Vincent is also a prolific content creator, maintaining educational resources at Calmcode ( calmcode.io ) and contributing to open source projects like scikit-lego. His practical experience spans both data science workflows in notebooks and web development, giving him unique insight into how caching benefits different parts of the Python ecosystem. What to Know If You're New to Python If you are newer to Python and want to get the most out of this episode analysis, here are some foundational concepts that will help: Dictionaries in Python : DiskCache behaves like a Python dictionary with square bracket access ( cache["key"] = value ), so understanding how dictionaries work is essential. Decorators : The episode discusses using @cache.memoize decorators to automatically cache function results, similar to the built-in functools.lru_cache . Serialization with Pickle : Python's pickle module converts objects to bytes for storage; DiskCache uses this under the hood for complex objects. Multi-processing basics : Understanding that web apps often run multiple Python processes helps explain why cross-process caching matters. Key Points and Takeaways 1. DiskCache: A SQLite-Backed Dictionary That Persists to Disk DiskCache is a Python library that provides a dictionary-like interface backed by SQLite, allowing you to cache data that survives process restarts. Unlike functools.lru_cache which stores everything in memory and disappears when your Python process ends, DiskCache writes to a file on disk. This means your cached data persists across restarts, deployments, and even Docker container rebuilds. The library handles all the complexity of SQLite transactions, thread safety, and process safety behind a simple API where you just use square bracket notation like a regular dictionary. github.com/grantjenks/python-diskcache grantjenks.com/docs/diskcache 2. Thread Safety and Cross-Process Sharing One of DiskCache's standout features is that it is both thread-safe and process-safe out of the box. This is critical for web applications that typically run multiple worker processes (a "web garden") where each process needs access to the same cached data. Traditional in-memory caches like LRU cache are isolated to a single process, meaning each worker would have to build its own cache independently. With DiskCache, all processes can read from and write to the same SQLite file, and the library handles the locking and concurrency concerns automatically. Michael uses this on Talk Python's website where multiple Docker containers share a common cache volume. SQLite's built-in locking mechanisms Works across Docker containers with shared volumes 3. Massive Cost Savings: Disk is Cheap, Memory is Expensive The episode makes a compelling economic argument for disk-based caching. Modern NVMe SSDs are incredibly fast, often approaching memory speeds for read operations, but cost a fraction of what RAM costs on cloud providers. Michael mentioned paying around $5 for 400GB of disk space on his cloud VMs, while the equivalent RAM would cost orders of magnitude more. This flips the traditional "keep it in memory because it is faster" advice on its head, especially for caching scenarios where the alternative is recomputing expensive operations or making network calls to Redis. NVMe SSD performance approaches memory for many use cases Reduces cloud hosting costs significantly No need for separate Redis/Memcached servers 4. LLM and Machine Learning Use Cases Vincent highlighted DiskCache as essential for anyone working with LLMs or machine learning models. When running benchmarks or experiments, you often need to call expensive LLM APIs or run inference on local models repeatedly. If the same input produces a deterministic (or acceptable) output, caching prevents wasting compute, time, and money on redundant calls. This is especially valuable during development when you might restart notebooks or rerun experiments many times. The @cache.memoize decorator makes this trivially easy to implement on any function. Prevents redundant LLM API calls during benchmarks Saves money on cloud API costs Essential for iterative notebook workflows 5. Web Application Caching Patterns Michael shared several practical examples from the Talk Python website. He caches rendered Markdown-to-HTML conversions, parsed YouTube video IDs from show notes, and HTTP request results for cache-busting file hashes. Each of these represents a computation that does not need to happen on every request. He maintains separate cache instances for different purposes, making it easy to clear specific caches without affecting others. The pattern of using content hashes as part of cache keys ensures that cached data automatically invalidates when the source content changes. Markdown to HTML rendering YouTube ID extraction from show notes HTTP cache-busting hash computation Separate caches for different concerns 6. The Memoize Decorator for Automatic Function Caching DiskCache provides a @cache.memoize decorator that works similarly to functools.lru_cache but persists to disk. You decorate a function, and DiskCache automatically creates cache keys from the function name and its arguments. The decorator supports expiration times, so you can say "cache this for 5 minutes" for data that should refresh periodically, like a Reddit-style front page. Vincent discovered you can even exclude certain arguments from the cache key calculation, which solved his problem when a progress bar object was causing cache misses in notebook workflows. Expiration/TTL support for automatic cache invalidation Argument exclusion for objects that should not affect caching Works with any picklable Python objects 7. FanoutCache for High-Concurrency Scenarios For applications with many concurrent writers, DiskCache offers FanoutCache which automatically shards data across multiple SQLite files. Since SQLite allows concurrent readers but writers block other writers, sharding reduces contention by spreading writes across multiple database files. The default is 8 shards, but you can configure this based on your expected number of concurrent writers. This is particularly useful for high-traffic web applications or parallel data processing pipelines. Automatic sharding across multiple SQLite files Reduces write contention Django integration uses FanoutCache by default 8. Built-in Django Integration DiskCache ships with a Django-compatible cache backend that you can drop into your Django settings file. This replaces the need for Redis or Memcached as your Django cache backend while maintaining full compatibility with Django's caching APIs. You simply configure the backend as diskcache.DjangoCache and specify a location, and Django's existing caching decorators and low-level cache API work seamlessly. This is especially valuable for smaller deployments where running a separate cache server adds unnecessary operational complexity. Drop-in replacement for Redis/Memcached in Django Full Django cache API compatibility grantjenks.com/docs/diskcache/djangocache.html 9. Custom Serialization for Compression and Special Types While DiskCache uses Python's pickle by default, you can implement custom disk classes to control serialization. The documentation includes an example using JSON with zlib compression, which can achieve 80-90% size reduction for text-heavy data like LLM responses or API results. Vincent experimented with quantized NumPy array storage, trading minimal precision loss for 4x disk space savings. For JSON serialization, the hosts recommended orjson over the standard library for better performance and type support including dates and NumPy arrays. github.com/ijl/orjson - Fast JSON library with extended type support zlib compression for text-heavy caches Custom disk classes for specialized serialization needs 10. Eviction Policies and Cache Size Management DiskCache includes several eviction policies to manage cache size automatically. The default policy is "least recently stored" (LRS), but you can also use "least recently used" (LRU) or "least frequently used" (LFU). The default size limit is 1GB, which prevents unbounded cache growth but might catch developers off guard if they expect unlimited storage. You can also set expiration times on individual cache entries, which is useful for data that should automatically refresh after a certain period. Least Recently Stored (LRS) - default Least Recently Used (LRU) Least Frequently Used (LFU) Configurable size limits and TTL 11. Advanced Data Structures: Deque and Index Beyond simple key-value caching, DiskCache provides higher-level data structures. The Deque (pronounced "deck") class provides a persistent double-ended queue useful for cross-process communication or simple job queues, potentially replacing Celery for simpler use cases. The Index class provides an ordered dictionary with transactional support, allowing you to retrieve multiple values atomically. These structures enable patterns like work distribution across processes without requiring external message brokers. Deque for persistent queues and cross-process communication Index for ordered dictionaries with transactions Potential replacement for simple Celery use cases 12. Related Tools in the SQLite Ecosystem The conversation touched on several complementary tools in the SQLite ecosystem. Litestream provides continuous streaming backup of SQLite databases to S3-compatible storage, making SQLite viable for production deployments with proper backup strategies. Plash is a new Python-focused hosting platform from Answer AI (Jeremy Howard's company) that provides persistent SQLite as a first-class database option. These tools reflect a broader trend of reconsidering SQLite for production use cases that previously required PostgreSQL or MySQL. litestream.io - Streaming SQLite backup to S3 plash.io - Python hosting with persistent SQLite github.com/benbjohnson/litestream 13. Vincent's Code Archaeology Project Vincent built a visualization project called "Code Archaeology" that demonstrates DiskCache in a real-world data science context. The project analyzes Git repositories by running git blame across 100 time samples to show how code evolves over time, with sedimentary-style charts showing which lines of code survive versus get replaced. Processing large repositories like Django (550,000 lines) took over two hours, making caching essential for iterative development. The project is open source and welcomes contributions of additional repository analyses. koaning.github.io/codearch - Live visualization Threading combined with DiskCache for parallel processing Real-world example of caching expensive git operations 14. Project Maintenance Status and Longevity The hosts acknowledged that DiskCache has not had a release since 2023, with the maintainer (Grant Jenks) possibly busy with work at OpenAI. However, both Vincent and Michael emphasized this should not discourage adoption. The library is mature, stable, and built on SQLite which is actively maintained. Vincent stated he would need to see the library "break vividly in front of my face" before considering alternatives. The codebase is open source and could be forked if necessary, but the underlying SQLite dependency makes breaking changes extremely unlikely. Last PyPI release: 2023 Built on actively-maintained SQLite Considered stable/"done" rather than abandoned Interesting Quotes and Stories "It really behaves like a dictionary, except you persist to disk and under the hood is using SQLite. I think that does not cover everything, but you get quite close if that is the way you think about it." -- Vincent Warmerdam "Your cloud SSD is sitting there, bored, and it would like a job." -- Michael Kennedy (from episode summary) "I pay something like $5 for 400 gigs of disk. Do you know how much 400 gigs of RAM will cost on the cloud? There goes the college tuition." -- Michael Kennedy "I vividly remember when I started college, people were always saying, keep it in memory because it is way faster than disk. But I think we have got to let a lot of that stuff just go." -- Vincent Warmerdam "This cache needs to break vividly in front of my face for me to consider not using it. Because it does feel like it is done, and in a really good way." -- Vincent Warmerdam "There are only two hard things in computer science: naming things, cache invalidation, and off by one errors." -- Referenced during discussion "One thing I learned is that caching is actually hard to get right. It is on par with naming things." -- Vincent Warmerdam "How do you fix that with a whole bunch of infrastructure? No, with a decorator." -- Vincent Warmerdam on the simplicity of DiskCache Story: The Progress Bar Bug Vincent shared a debugging story from building his code archaeology project. He was using the memoize decorator but noticed his cache was never being hit. After investigation, he discovered the problem: one of his function arguments was a Marimo progress bar object. Every time he reran the notebook, a new progress bar instance was created with a different object ID, causing every cache lookup to miss. The solution was DiskCache's ability to exclude specific arguments from the cache key calculation - a feature he was relieved to find already existed in the library. Key Definitions and Terms LRU Cache : Least Recently Used cache, a caching strategy that evicts the least recently accessed items first. Python's functools.lru_cache implements this in memory. Memoization : An optimization technique that stores the results of expensive function calls and returns the cached result when the same inputs occur again. Serialization/Pickle : The process of converting Python objects into a byte stream for storage or transmission. Pickle is Python's built-in serialization format. Sharding : Distributing data across multiple storage locations (in this case, multiple SQLite files) to reduce contention and improve performance. TTL (Time To Live) : An expiration time set on cached data after which it is automatically considered stale and removed. ACID Compliance : A set of database properties (Atomicity, Consistency, Isolation, Durability) that guarantee reliable transaction processing. SQLite is ACID-compliant. Web Garden : A deployment pattern where multiple worker processes handle web requests, typically managed by a WSGI server like Gunicorn or uWSGI. NVMe SSD : Non-Volatile Memory Express Solid State Drive, a modern storage interface that provides significantly faster read/write speeds than traditional SATA SSDs. Learning Resources Here are resources to learn more and go deeper on topics covered in this episode: LLM Building Blocks for Python : Vincent's course that originally sparked this episode, covering practical LLM techniques including caching strategies for API calls and benchmarks. Agentic AI Programming for Python : Collaborate with AI like a skilled junior developer. Build production features in hours with Cursor and Claude. Get real results. Python for Absolute Beginners : If you are new to Python and want to understand dictionaries, decorators, and other fundamentals referenced in this episode. HTMX + Flask: Modern Python Web Apps : Covers web development patterns where DiskCache caching techniques would be immediately applicable. Overall Takeaway DiskCache represents a powerful example of choosing the right tool for the job rather than reaching for the most complex solution. In an era where developers often default to running Redis or Memcached servers for caching, DiskCache offers a compelling alternative that requires no additional infrastructure, leverages the rock-solid reliability of SQLite, and takes advantage of modern fast SSDs that have closed much of the performance gap with RAM. Whether you are building web applications, running LLM experiments, or processing data in notebooks, the pattern is the same: expensive computations should not be repeated unnecessarily. The library embodies the Unix philosophy of doing one thing well. Its dictionary-like API means there is virtually no learning curve for Python developers, while advanced features like sharding, transactions, and custom serialization are available when needed. Vincent's observation that this is in his "top five favorite Python libraries" and Michael's extensive production use on Talk Python speak to its real-world reliability. Perhaps most importantly, this episode challenges conventional wisdom about caching architecture. You do not always need a separate cache server. You do not always need to keep everything in memory. Sometimes the simplest solution - a well-designed SQLite file on a fast SSD - is exactly right. As Vincent put it: "Give this cache thing a try. It is just good software." Links from the show diskcache docs : grantjenks.com LLM Building Blocks for Python course : training.talkpython.fm JSONDisk : grantjenks.com Git Code Archaeology Charts : koaning.github.io Talk Python Cache Admin UI : blobs.talkpython.fm Litestream SQLite streaming : litestream.io Plash hosting : pla.sh Watch this episode on YouTube : youtube.com Episode #534 deep-dive : talkpython.fm/534 Episode transcripts : talkpython.fm Theme Song: Developer Rap 🥁 Served in a Flask 🎸 : talkpython.fm/flasksong ---== Don't be a stranger ==--- YouTube : youtube.com/@talkpython Bluesky : @talkpython.fm Mastodon : @talkpython@fosstodon.org X.com : @talkpython Michael on Bluesky : @mkennedy.codes Michael on Mastodon : @mkennedy@fosstodon.org Michael on X.com : @mkennedy Episode Transcript Collapse transcript WebVTT format On GitHub 00:00 Your cloud SSD is sitting there, bored, and it would like a job. 00:03 Today, we're putting into work with DiscCache, a simple, practical cache built on SQLite 00:08 that can speed things up without spinning up Redis or other extra servers. 00:13 Once you start to see what it can do, a universe of possibilities opens up. 00:17 We're joined by Vincent Warmerdom to dive into DiscCache. 00:21 This is Talk Python To Me, episode 534, recorded December 19th, 2025. 00:27 Talk Python To Me, yeah, we ready to roll. 00:29 Upgrading the code, no fear of getting old Async in the air, new frameworks in sight 00:35 Geeky rap on deck, Quart crew It's time to unite We started in Pyramid, cruising old school lanes 00:41 Had that stable base, yeah sir Welcome to Talk Python To Me, the number one Python podcast for developers and data scientists. 00:48 This is your host, Michael Kennedy. 00:49 I'm a PSF fellow who's been coding for over 25 years. 00:54 Let's connect on social media. 00:55 You'll find me and Talk Python on Mastodon, Bluesky, and X. 00:58 The social links are all in your show notes. 01:01 You can find over 10 years of past episodes at talkpython.fm. 01:05 And if you want to be part of the show, you can join our recording live streams. 01:08 That's right. 01:09 We live stream the raw uncut version of each episode on YouTube. 01:13 Just visit talkpython.fm/youtube to see the schedule of upcoming events. 01:17 Be sure to subscribe there and press the bell so you'll get notified anytime we're recording. 01:22 Vincent, hello. 01:23 Michael, Michael, we're back. 01:25 Awesome. 01:26 Awesome to be back with you. 01:27 Yeah, this is almost the sequel to the last time you were on the show. 01:32 So it's going to be fun. 01:34 Yeah, so sequel in this case, not the query language, 01:36 like an actual sequel of events. 01:38 Yes. 01:39 Yeah, you can correct me if I'm wrong, but I think what happened is you had me on a podcast a while ago 01:45 to talk about a course that I made, and a big chunk of the course that we were very enthusiastic about 01:49 was about this tool called DiscCache. 01:51 And then we kind of came to the conclusion, well, we had to cap it off. 01:54 Maybe it's fun to do an episode on just DiscCache. 01:57 since we're both pretty huge fans of it. 01:59 I think that's how we got here. 02:00 I think that is how we got here as well. 02:02 And we're going to dive into this. 02:05 Honestly, it's a pretty simple library called Disc Cache, 02:09 but what it unlocks is really, really sweet. 02:11 And I'm going to talk about a lot of different angles. 02:14 And now, even though it's just been not that long since you were on the show, 02:18 maybe just give us a quick intro of who you are. 02:20 Hi, my name is Vincent. 02:21 I've done a bunch of data machine learning stuff, mainly in the past. 02:25 That's sort of what a lot of people know me from. 02:27 These days, though, I work for a company called Marimo. 02:29 You might have heard from us. 02:30 We make very modern Python notebooks. 02:32 We took some lessons from Jupyter, and we take a new spin of it. 02:35 So that's my day to day. 02:37 But I still like to write notebooks and do kind of fun little benchmarks and also stuff 02:42 with LLMs. 02:42 And I've just noticed that for a lot of that work, boy, 02:45 disk cache is amazing. 02:47 And I also use it for web stuff. 02:48 And I think that's also what your use case is a little bit more of. 02:51 But yeah, in notebook land, you also like to have a very good caching mechanism 02:56 And on the Mremo side of things, we are also working on different caching mechanisms, which I might talk about in a bit. 03:01 But just for me, the bread and butter, the thing I've used for years at this point is disk cache whenever it comes to that territory. 03:06 Yeah, it's funny. 03:07 This was recommended to me for Python Bytes as a news item over there quite a while ago, like years ago. 03:13 And I'm like, oh, that's pretty interesting. 03:15 And then I saw you using it in the LLM Building Blocks course, and it just unlocked for me. 03:20 Like, oh, my. 03:22 Oh, this is something else. 03:24 And so since then, I've been doing a bunch with it, and I'm a big fan. 03:27 I've been on this, like trying to avoid complexity, but still getting really cool responses, performance, et cetera, out of your apps. 03:35 And I think this is a really nice way to add multi-process, super fast caching to your app without involving more servers and more stuff that's got to get connected and keep running and so on. 03:47 But before we get into the details of that, maybe let's just talk about caching in general. 03:53 Like what types of caching is there? 03:55 You know, I sort of give a little precursor there. 03:57 But yeah, dive into it. 03:58 So like in the course, the main example I remember talking about was the one-- 04:03 you've got this LLM, and you want to do some benchmarks. 04:05 And it might be the case that, I don't know, using an LLM for, let's say, classification, 04:09 like some text goes in, we got to know whether or not 04:12 it's about a certain topic, yes, no, or something like that. 04:14 Then it would be really great if, suppose, the same text came 04:17 by for whatever reason, that we don't run the query on the LLM 04:21 Again, it's like wasted compute, wasted money. 04:23 So it'd be kind of nice if the same text goes in that we then say, 04:27 oh, we know what the answer to that thing is already. 04:29 We cached it, so here you can go back. 04:31 And that's the case when you're dealing with heavy compute ML systems. 04:35 But there's a similar situation that you might have, I guess, 04:37 with expensive SQL queries, or you want to reduce the load on a database somewhere. 04:41 Then having some sort of a caching layer that's able to say, 04:43 oh, you're querying for something, but I already know what it is. 04:47 Boom, we can send it back. 04:49 I think the classical thing you would do in Python is you have this decorator in functools, I think, right? 04:53 The LRU_cache. 04:57 Yeah, exactly. 04:58 Yeah. 04:58 That's a hell of a world to that. 04:59 But the downside of that thing is that it's all in memory. 05:02 So if you were to reboot your Python process, you lose all that caching. 05:05 So that's why people historically, I think, resorted to-- 05:08 I think Redis, I think, is the most well-known caching tool. 05:12 It's the one I've always used. 05:13 There's Memcache, I think. 05:14 There's other tools. 05:15 You could use Postgres for some of this stuff as well. 05:18 But recently, especially because disks are just getting quicker 05:21 and quicker, people have been looking at SQLite for this sort of a thing as well. 05:25 So that's, I think, the quickest summary and also sort of the entryway to how I got started with disk cache. 05:31 Yeah, and so for this example that you highlight in the LLM 05:34 Building Blocks course, it's not a conversation. 05:38 It's like a one-shot situation, right? 05:41 You come up-- you say, I have some code or some documents, 05:43 and I have almost like an API. 05:45 I'm going to send that off to the LLM and ask it, tell me X, Y, and Z about it. 05:51 And sure, it's got some kind of temperature and it won't always give an exactly the same answer, 05:56 but you're willing to, you know, you're willing to accept an answer. 06:00 And at that point, like why ask it again and again and again, which it might take seconds, 06:05 it might cost money. 06:06 Whereas if you just remember through caching somehow, you remember it, it's like, boom, instant. 06:13 Yeah, and it tends to come up a lot in when you're doing benchmarks, for example. 06:16 So you have this for loop, you want to go over your entire data set, try all these different approaches. 06:21 And if you've got a new approach, then you want that to run, of course. 06:23 But if you accidentally trigger an old approach, then you don't want to incur the cost of like going through all those different LLMs. 06:29 I should say, like, even if you just forget about LLMs, let's just say machine learning in general. 06:33 Let's say there's some sort of image classification thing you're using in the cloud. 06:36 There also, you would say, like, file name goes in. 06:39 that's an image and if the same file name goes in we don't want the expensive compute cost to happen 06:43 either so it's definitely more general than llms but llms do feel like it's the zeitgeisty thing to 06:48 worry about yeah i think for two reasons one because they're just the topic du jour and two 06:54 because they're they're i think a part of computing that most people experience that is way slower than 06:59 they're used to yeah well and especially if you're you know if i suppose that you you have a an 07:05 an attic somewhere and you're a dad and you want to do home lab stuff and you're playing with all 07:09 these open source LLM models, then you also learn that, yeah, they're fun to play with, but they also 07:14 take a lot of time to compute things. So then immediately you get the motivation to do it the 07:18 right way. Yeah, I built a couple of little utilities that talk to a local LLM. I think it's 07:25 the OpenAI OpenWeights one, that 20 billion parameter one I have running on my Mac Mini, 07:31 and it's pretty good, a little bit slow, but, you know, it's fine for what it's being used for. And 07:35 put-- use your disk cache technique on it. 07:39 And if I ask it the same question again, it's like, boom. 07:41 You don't need to wait 10 seconds. 07:43 Here's the answer. 07:43 Yeah. 07:44 So that-- and I guess like-- but I guess from your perspective, 07:46 I think your main entry point to this domain was a little bit more from the web dev perspective, right? 07:51 Like that's-- and I suppose you're using it a lot for preventing expensive queries to go to Postgres, 07:57 or I don't exactly know your backend. 07:59 You know how-- you won't believe how optimized my website is. 08:02 There's not a single query that goes to Postgres, because they go to MongoDB. 08:06 I'm just kidding. 08:06 There you go. 08:07 No, but your point is totally valid. 08:10 Go into the database, right? 08:11 Now, I don't actually cache that many requests. 08:15 I don't avoid that many requests going to the database. 08:17 They're really quite quick, and so I'm OK with that. 08:19 But when you think about a feature-rich database, feature-rich web app, there's just tons of these little edge 08:26 cases you're like, oh, got to do that thing. 08:28 And it's not a big deal, but we've got to do it 500 times in a request. 08:31 Then it is kind of a thing. 08:34 So let me give you an example. 08:35 I'll give you some examples. 08:36 So for example, the good portions of the show notes on talkpython.fm are in Markdown. 08:43 I don't want to show people Markdown. 08:44 I want to show them HTML, right? 08:47 So when a request comes in, it'll say any fragment of HTML that needs 08:53 to be turned into Markdown instead of just going, oh, 08:56 let me process that. 08:57 It just goes, all right, what is the hash of this or some other indicator of the content? 09:03 And then I've already computed that and stored it in disk cache. 09:06 So here's the HTML result. 09:08 Another example is there's a little YouTube icon on each page. 09:13 And that's actually in the show notes, but then the website parses the YouTube ID out 09:17 and then embeds it with an, like, there's a bunch of stuff going on there to keep YouTube 09:22 out of spying on my visitors. 09:25 But stuff happens, YouTube ID is used. 09:27 That could be parsed every time. 09:29 Or I can just say this episode has this YouTube ID. 09:33 That information goes into a cache, right? 09:35 And because it's a disk cache sort of scenario, like a file-based one, not an LRU cache. 09:42 It doesn't change the memory footprint and it's shared across processes. 09:46 So in like the web world, it's really common to have a web garden 09:48 where you've got like two or four processes all being like round robin to 09:53 from some web server manager thing, right? 09:56 If you don't somehow out of process that, either Redis or SQLite or database or something, 10:03 then all of those things are recreating that, right? 10:05 They can't reuse that, right? 10:07 So there's a lot of interesting components there. 10:09 And I suppose your web deployment, you have like a big VM, I suppose, 10:11 and then there's like multiple Docker containers running, 10:14 but they do all have access to the same volume, and that's how you access SQLite. 10:18 Bingo, yeah, exactly, exactly. 10:21 And how am I doing? 10:22 Yeah, so what I have done is in the Docker Compose file, 10:26 I have an external, This is also important for Docker. 10:29 So I have an external folder on a big hard drive in the big VM that says, here's where 10:34 all the caches go. 10:36 And then depending on which app, it'll pick like a sub directory it can go look at or 10:40 whatever that it's using. 10:41 And so that way, even if I do a complete rebuild of the Docker image, it still retains 10:48 its cache from version to version and all that kind of business. 10:51 You could do that with a persistent VM as well, volume as well. 10:55 But I've just decided-- 10:57 you can go and inspect it a little easier and see how big the cache is and stuff like that. 11:00 OK, so we're going to get into the weeds of how disk cache works exactly. 11:04 But I'm triggered here because it sounds like you've done 11:06 something clever there. 11:07 Because what you can do in disk cache is you can say, look, here's a file that's SQLite. 11:11 And then it behaves like a dictionary, but it's persisted on disk. 11:14 But what I just heard you say is that you've got multiple caches. 11:16 So am I right to hear that, oh, for some things that 11:19 need to be cached, let's say the YouTube things, that's a separate file. 11:22 And then all the markdown stuff, that's also a separate file, and therefore if connections need to be made to either, 11:27 it's also kind of nicely split. 11:29 Is that also the design there? 11:30 Yeah, that is. 11:30 And actually, before, like, we're going to dive into all the details of how it works, 11:33 but I'll just go, I'm just to give people a little glimpse. 11:36 I'll go ahead and show, I've got this whole admin back in here. 11:39 And I've got different caches for different purposes. 11:42 Because they're just SQLite files, you can either say, give me the same one, 11:45 or you can say, this one is named something else, and it has a different file name or different folder or whatever. 11:50 Right, so I've got one that stores things like that YouTube ID I talked about 11:53 any markdown, any fragment of markdown anywhere in the web app that it needs to say that needs 11:58 to go to HTML, like just. 12:00 Yeah, and it's like 8,000 items in that thing. 12:03 Yeah. 12:04 In this one, there's 8,970 items, which is nine megs, right? 12:08 I mean, it's not huge, but it's not too bad. 12:10 And you can actually even see where it thinks it lives, but that's not really where it lives 12:14 because there's, you know, the volume redirects and stuff. 12:17 But I've also got stuff for directly about the episodes that it needs to pull back. 12:22 And then I do a lot of HTTP caching. 12:25 And one of the things that I think is really wrong with web development is people say, 12:30 well, that's like a stale image or that's a stale CSS file or JavaScript, you know, 12:33 all that kind of stuff. 12:34 So if you just do like super minor tricks and just put some kind of hash ID on the end 12:41 of your content, it will, and you teach your CDN or whatever, that that's a different file 12:47 if it varies by query string, then you never, ever have to worry about stale content ever. 12:52 right but computing that can be expensive especially for remote stuff like if it's it's on a different 12:57 it's like a s3 thing but you still want to have it do that so i have a special cache for that and 13:01 that takes that's like pretty complicated to build up because it's got to do like almost 700 web 13:06 requests to figure out what those are but once they're done it's blazing fast you don't have to 13:10 do it again right unless it changes then it doesn't change much and so on so there's that's the way 13:14 that i'm sort of using and appreciating disk cache yeah it works well in your setup because you've 13:19 gone for the VM route. I mean, if you go for something like Fly.io or maybe even 13:24 DigitalOcean has like a really, I think it's a nice like app service, but that 13:27 all revolves around Docker containers that like spin up horizontally. And I 13:31 don't think those containers can be configured in such a way they share the volume. 13:36 So in that sense, you could still use disk cache, but then 13:40 each individual instance of the Docker container would have its own cache, which still could 13:43 work out. 13:45 Not going to be as well well functional. It's going to be better with your setup, though. 13:50 Yeah, absolutely. I agree, though. You could still do it. Or you could go, I'll take the 13:55 zen of what Vincent and Michael are saying today, and I'll apply that to Postgres, or 13:59 I'll apply that to whatever data. You could pull this off in a database. 14:03 You would just have to do more work. Yeah. I mean, I've had a couple of, I think 14:07 it was like a Django conference talk I saw a while ago. They were also raving about 14:11 disk cache. But the merits of disk cache do depend a little bit on your 14:15 deployment, though. 14:15 That is, I think, one observation. 14:17 Like in your setup, I can definitely imagine it. 14:18 Interesting. 14:19 Yeah. 14:19 Yeah. 14:20 Well, I don't even think we properly introduced this thing 14:22 yet, so. 14:23 But let's maybe go there. 14:24 Yeah. 14:24 Let's start there. 14:25 Let's start there. 14:26 It's time. 14:26 OK. 14:27 It's time. 14:27 Yeah. 14:29 I guess the simplest way I usually describe it, it really behaves like a dictionary, 14:33 except you persist a disk and under the hood is using SQLite. 14:36 I think that's the-- it doesn't cover everything, but you get quite close, if that's the way it is. 14:40 I think there might be-- 14:42 you know, I keep harping on this on the show, but there are so many people that are new to Python 14:45 and programming these days. 14:47 Many, many of them, almost half of them. 14:49 I think it's worth pointing out, just like, what is SQLite? 14:51 Like, why is it different than any other database? 14:54 Like, why have I been using the word database or SQLite 14:56 when SQLite is a database, right? 14:57 That's weird. 14:58 - So, I never really took a good database, of course. 15:01 I might be ruining the formalism of it. 15:04 But the main, like, for me at least, the way I like to think about it is Postgres, 15:08 that's a thing I can run on a VM, and then other Docker containers can connect to it 15:13 because it's running out of process. 15:14 There's some other process that has the database somewhere, 15:17 and I can connect to it. 15:18 And I think the main thing that makes SQLite different 15:20 is that, no, you got to run it on the same machine, 15:23 on the same process where your program is running. 15:25 And that's, I think, the main-- 15:26 and there's all sorts of little details, like how the data structures are used internally, 15:30 and SQLite doesn't have a lot of types. 15:32 There's lots of other differences. 15:33 I think that's the main one. 15:35 Unless, Michael, I forgot something. 15:36 MICHAEL LUTH: Yeah, no, I think it's-- 15:38 and it's-- 15:40 operationally, it's a separate thing run. It has to have both, it has to be secure because if your data gets exposed, like- 15:49 For Postgres, is it not for SQL? Yes, it's running somewhere. People can SSH in if you're 15:54 not careful. You've got to be mindful of passwords and all that stuff. That's totally true. 15:58 Right. And it can go down. Like it could just become unavailable because you've screwed up 16:02 something or whatever, right? It's a thing you have to manage in the complexity of running your app 16:07 when it's like, well, it used to just be one thing I could run in a Docker container. Well, 16:10 now I got different servers, they got to coordinate and there's firewalls and there's like, it's just, 16:14 it just takes it so much higher in terms of complexity that like SQLite is a file. 16:19 Yes. 16:20 I mean, I do want to maybe defend Postgres a little bit there. 16:22 Cause one thing that's like really nice and convenient in terms of like CICD and deployments 16:26 and all that, oh, suppose you want to scale horizontally and there's like Docker containers 16:31 running on the left and there's this one Postgres thing running on the right. 16:34 I mean, you can just turn on and off all those Docker containers as you see fit. 16:38 they're just going to connect to the Postgres instance. 16:40 And I've done this trick for Calm Code a bunch of times 16:43 where I just switch cloud providers, because Postgres is running there, 16:46 and I can just move the Docker containers to another cloud provider, and it all works fine. 16:50 No migration necessary. 16:52 With SQLite, that aspect is a little bit more tricky. 16:54 You have to be a bit more mindful. 16:56 Although, I should mention, might be worth a Google. 16:59 There's actually this one new cloud provider that's very much Python-focused. 17:02 It's called Plash, P-L-A dot S-H, I think. 17:06 Oh, this is new to me. 17:07 Yeah, so I think-- 17:08 Wow, OK. 17:09 Look at this. 17:09 From.py to.com in seconds. 17:12 Yeah, it's the Answer AI, Jeremy Howard and friends. 17:15 I don't know to what extent this is super production ready. 17:18 And SQLite, you've got to be mindful of the production aspect 17:22 for some reasons as well. 17:23 But one thing that is kind of cool about them is they give you a persistent SQLite as a database 17:29 and a pipeline process that can just kind of attach to it. 17:32 And they just-- in their mind, that's the simplest way that a cloud provider should be. 17:36 take a very opinionated approach. 17:38 So yeah, if you're interested in maybe running this 17:40 as a web service, migrations are a little bit tricky 17:43 in that realm, because you do have to download the entire data set due to migration 17:47 and upload it again, I think, if I recall correctly. 17:50 And for some apps, that's no big deal. 17:52 Others, that's a mega deal. 17:53 Depends how big that data is. 17:55 So I'm not suggesting this is going to be for everything and everyone, 17:58 but I do think it's cool, which is why I figured I'd mention it. 18:00 Oh, it's new to me. 18:03 I'm going to follow up with a lightstream.io. 18:06 Have you seen this? 18:07 Yeah, that is also really neat. 18:11 So basically, what if you want to back up your SQLite? 18:13 Like, how could you do that? 18:15 Oh, it might be nice to do that with S3. 18:17 And I think it's like the guy who made the thing works at Fly.io. 18:21 He's doing a bunch of low-level stuff. 18:23 One thing about that open source package is also really interesting, by the way, 18:26 is I think he refuses PRs from the outside. 18:30 He just wants to have no distractions whatsoever. 18:33 He has a very interesting way of developing software. 18:35 You can submit issues, of course. 18:38 I think if you scroll down, there used to be a notice that 18:40 basically said, hey, this is a-- 18:42 I'm not running this-- 18:43 Yeah. 18:44 There you go. 18:45 We welcome-- yeah, contribution guide. 18:48 We welcome bug reports. 18:51 Yeah, this is a way where you can basically stream updates to S3. 18:54 And the main observation there is S3 is actually really cheap 18:58 if all you do is push stuff into it. 18:59 If you never pull it out, usually getting it out is the expensive bit of S3. 19:03 So this is like pennies on the dollar for really decent backup. 19:08 And you can also send it to multiple-- 19:09 you can send it to Amazon and also to DigitalOcean, 19:11 if you like. 19:12 Yeah. 19:13 Yeah, because these days, S3 is really a synonym for blob storage on almost any hosting platform. 19:20 Like, it used to be S3 might go to literally S3 at AWS. 19:23 But now it's like, or DigitalOcean object spaces, or to you name it. 19:29 They've all adopted the API, kind of like OpenAI's API. 19:32 Yeah, I will say it's a little bit awkward that you have to-- 19:35 like, sometimes you go to a cloud provider, and they say, you have to download a SDK 19:40 from a competing cloud provider, and then you can connect to our cloud bucket. 19:44 I know. 19:44 And it's usually Bodo 3. 19:46 And Bodo 3 is-- 19:48 if you want to cry because you're using a library, like, Bodo 3 has a good chance of being the first one 19:53 to make you do it. 19:53 It is so bad for me. 19:55 It's so not custom-- 19:57 It's not built with craft and love. 19:59 It's like auto-generated where you pass these-- 20:02 like, you pass this kind of dictionary, and then the other argument takes a separate dictionary 20:05 that relates back-- it's just like, could you give me a real API here? 20:09 IAN MCKAYAN: I mean, the one thing I can appreciate about Bodo that I do think is honest to mention 20:12 is they do try to just maintain it. 20:15 The backward compatibility of that thing also means it can't move in any direction as well. 20:19 And I can't-- there is this meme where Google kills all 20:22 of its products way too early, and Amazon's meme that they kill them way too late, sometimes never. 20:27 Right? 20:28 So in that sense, I can appreciate that they just try to keep Bodo just not necessarily as user friendly, 20:33 but they do keep it super stable. 20:34 Like, I get there's a balance there. 20:36 Yeah. 20:37 I feel like we still haven't really introduced this cache. 20:39 We've kind of set the stage. 20:41 Anyway, but yeah, SQLite, super cool. 20:44 How does it work under the hood? 20:45 Well, it's really just like a Python dictionary. 20:47 So you can say something like, hey, make a new cache. 20:49 And then you can do things like cache, square brackets, 20:52 string name, equals, and then whatever Python object you like can go in. And Python has this serialization method called a pickle. 21:00 Serialization just means, well, you can persist it to disk in some way, and then you can sort of 21:05 get it back into memory again. And that's what disk cache just uses under the hood. So in theory, 21:10 any Python object that you can think of can go into disk cache. The only sort of thing to be 21:16 mindful of is if you have like Python version, if NumPy version 1 in Python 3.6, and you're going 21:21 to inject a whole lot of that into this cache. 21:24 Don't expect those objects to serialize nicely back 21:26 if you're using Python 3.12 and NumPy version 2 or something. 21:29 Right, because pickle is almost an in-memory representation 21:33 of the thing. 21:34 And that may have evolved over time. 21:36 That's also a true statement about your own classes, potentially. 21:39 Yeah, so if you're dealing with multiple Python versions 21:41 and multiple versions of different packages, there's a little bit of a danger zone to be aware of there. 21:47 That said, for most of the stuff that I do, that's basically a non-issue. 21:50 But I do get this nice little object that can just store stuff into SQLite and can get it out. 21:56 And it's very general. 21:58 It's going to try to be clever about it. 21:59 Like if you give it an int, it's going to actually store it as an int and not use the pickle format. 22:03 So there's a couple of clever things that it can do. 22:06 And it's also really like a Python dictionary. 22:07 So you can do the square bracket thing. 22:09 You can also do the delete and then cache square bracket thing to delete a key from the cache. 22:15 Just like a Python dictionary, you have the get method. 22:17 So you can say dot get key. 22:19 And if it's missing, you can pass a default value. 22:22 So it's very much like a dictionary. 22:25 I think Bob's your uncle on that one. 22:27 Unless, Michael, I've forgotten something. 22:29 But I think that's the simplest way to do it. 22:30 Yeah, pretty much. 22:31 Yeah, I think so. 22:32 The difference being it's not in memory. 22:34 It's stored to a file. 22:36 It happens-- it's not always a SQLite file. 22:39 But often, it is a SQLite file as its core foundation 22:43 that it's stored to. 22:43 So it gives you process restart ability, where it still remembers the stuff you cached. 22:49 It's not like LRU cache. 22:50 We got to redo it every single time. 22:52 And I think, I don't know where it is in the docs here, 22:56 but the thread safety bit of it and the cross-process safety 23:00 is really nice about, is it persistent? 23:03 You've got this whole table here, things like, is it persistent? 23:06 Yes. 23:06 Is it thread safe? 23:07 Yes. 23:07 Is it process safe? 23:08 Yes. 23:10 Compared against other things people might choose. 23:13 And that, honestly, I think that is the other half of the magic. 23:17 Yeah, so especially for your web stuff, I would say that that's the thing you really want. 23:21 And some of that, of course, is just SQLite itself. 23:25 Historically, one reason why people always used to say, like, use Postgres, not SQLite, 23:28 has to do with precisely this concurrency stuff. 23:32 My impression is that SQLite is really good at reading, but writing can be slow if multiple processes do it. 23:37 Some of that, I think, is related to the disk as well. 23:39 I don't know to what extent that has changed. 23:41 But historically, at least, whenever I was doing Django, hanging out at Django events, 23:45 People are always saying, like, just use Postgres because it's better for the web thing. 23:48 But it is safe, the SQLite. 23:51 It might become slower, but it is thread safe if it's-- 23:53 MARK MANDEL: Right. 23:54 There's actually-- they've thought a lot about in this thing 23:58 about transactions, concurrency, and basically dealing with that. 24:02 But it is ultimately, for the most part, still SQLite underneath. 24:07 But the thing with a cache is if you're writing it more 24:10 than you're reading it, you probably shouldn't have a cache. 24:13 Yeah. 24:13 I mean, like... 24:15 That beats the purpose. 24:18 Exactly. 24:18 Like, you get no value if you're recreating it. 24:21 You're only probably just doing overhead and wasting memory or disk space. 24:24 So it's inherently a situation where it's | 2026-01-13T08:49:32 |
https://dev.to/ahaoboy/windows-contextmenu-manager-155a | windows-contextmenu-manager - 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 阿豪 Posted on Jul 27, 2025 windows-contextmenu-manager # tauri # rust # windows # contextmenu windows-contextmenu-manager (2 Part Series) 1 windows-contextmenu-manager: tauri and rust 2 windows-contextmenu-manager Windows ContextMenu Manager Windows ContextMenu Manager is a graphical tool designed to help users manage and customize the Windows right-click (context) menu with ease. Built with a modern UI and powered by Tauri and React, this application provides a safe and user-friendly way to enable, disable, and organize contextmenu items for both Windows 10 and Windows 11. ⚠️ Early Development Warning: This project is still in early development. Please backup your registry before making any changes! https://github.com/ahaoboy/windows-contextmenu-manager-tauri Top comments (0) Subscribe Personal Trusted User Create template Templates let you quickly answer FAQs or store snippets for re-use. Submit Preview Dismiss 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 阿豪 Follow coder Location china Work code farmer Joined Sep 29, 2020 More from 阿豪 Improving yt-dlp-ejs with Rust: Smaller and Faster # rust # ytdlp # swc # quickjs Running QuickJS Engine with Rust on OpenWrt # rust # quickjs # openwrt # javascript easy-install: A Rust-Powered Package Installer That Actually Works on OpenWrt # openwrt # rust # github # tool 💎 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 | 2026-01-13T08:49:32 |
https://dev.to/devteam/congrats-to-the-frontend-challenge-office-edition-winners-30p9 | Congrats to the Frontend Challenge: Office Edition Winners! - 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 Jess Lee for The DEV Team Posted on Aug 14, 2025 Congrats to the Frontend Challenge: Office Edition Winners! # frontendchallenge # devchallenge # webdev # css Today's the day! We are excited to announce the winners of the Frontend Challenge: Office Edition sponsored by Axero . Reviewing submissions for this challenge was a true delight as we witnessed incredible creativity across both our Holistic Webdev and CSS Art prompts. From time-traveling intranet dashboards to retro computer recreations, participants embraced the office theme with remarkable skill and imagination. Regardless of whether or not you win, we hope you enjoyed working on your submission and are proud of what you accomplished! Without further ado, our winners. Congratulations To… Holistic Webdev Winner: PulseHub @dr_rvinobchander_ac6a created "PulseHub", a dynamic intranet homepage that not only shares critical company information but offers a gamified experience for employees. PulseHub: The Future of Workplace Collaboration 🚀 Dr. R. Vinob Chander ・ Jul 8 #frontendchallenge #devchallenge #css We appreciated the level of customization in the drag-and-drop interface as well as light/dark mode and the robust set of widgets offered! CSS Art Winner: Zoom Call Mosaic @eleftheriabatsou 's responsive CSS-only zoom call takes home the prize! We loved the attention to detail with the active speaker box, live chat panel, and inclusion of the 'video off' participant. Zoom Call Mosaic, Office Culture Eleftheria Batsou ・ Jul 27 #frontendchallenge #devchallenge #css This tribute to modern remote work culture perfectly captures those messy, human, and totally relatable moments that define our daily Zoom calls. Prizes Our winners will receive the following: Holistic Webdev Winner $2,500 USD DEV++ Membership Exclusive DEV Badge CSS Art Winner $500 USD DEV++ Membership Exclusive DEV Badge All participants with a valid submission will receive a completion badge. A Special Thanks to Our Sponsor We want to give a huge shoutout to Axero for sponsoring this challenge! This marks our very first Frontend Challenge with cash prizes, made possible by Axero's generous support. Axero creates innovative intranet solutions that empower companies to build customizable digital workspaces where teams can communicate, collaborate, and connect. Their platform serves as a central hub for all essential employee resources and communications, which perfectly aligned with our office-themed challenge. What's next? Keep an eye out for future Frontend Challenges - we're always cooking up new themes and exciting prompts to push your creativity and skills. In the meantime, check out the Real-Time AI Agents Challenge powered by n8n and Bright Data: Join the Real-Time AI Agents Challenge powered by n8n and Bright Data: $5,000 in prizes across FIVE winners! Jess Lee for The DEV Team ・ Aug 13 #devchallenge #ai #webdev #n8nbrightdatachallenge We'll also be launching the Midnight "Privacy First" Challenge next week. Follow the tag now so you don't miss the announcement: # midnightchallenge Follow his is the official tag for submissions and announcements related to the Midnight Network "Privacy First" Challenge. Wiki Body Markdown: Stay tuned -- this challenge will be announced on August 20, 2025! We hope you had fun, felt challenged, and learn a thing or two! See you next time! Interested in being a volunteer judge for future challenges? Learn more here ! Top comments (31) Subscribe Personal Trusted User Create template Templates let you quickly answer FAQs or store snippets for re-use. Submit Preview Dismiss Collapse Expand Ben Halpern The DEV Team Ben Halpern The DEV Team Ben Halpern Follow A Canadian software developer who thinks he’s funny. Email ben@forem.com Location NY Education Mount Allison University Pronouns He/him Work Co-founder at Forem Joined Dec 27, 2015 • Aug 14 '25 Dropdown menu Copy link Hide Really creative submissions, congrats folks! Like comment: Like comment: 5 likes Like Comment button Reply Collapse Expand Eleftheria Batsou Eleftheria Batsou Eleftheria Batsou Follow 💼 DevRel / Community Manager ⌨ Front end developer | UXer | Content Creator 🙆 Here to share my passion && transfer/receive knowledge Loves to: ✈️🍪💃 Location Thessaloniki, Greece Education Informatics and telecommunication of engineering Pronouns She/Her Work Community Manager & Content Creator Joined Jan 3, 2020 • Aug 14 '25 Dropdown menu Copy link Hide Thank you so much for this! I really appreciate it. I checked many of the submissions and a lot of people did great work. 🙏🏻🙏🏻 Like comment: Like comment: 7 likes Like Comment button Reply Collapse Expand Fayaz Fayaz Fayaz Follow Software Engineer 𑁍 Thinker 𑁍 Problem Solver. Interests: AI, Software Development, Web Security, Privacy, Nature, Philosophy, History, Spirituality, Politics, Conversation. Location Bangladesh Education BSc. in Computer Science & Engineering Work Building a new SaaS Joined Nov 12, 2017 • Aug 15 '25 Dropdown menu Copy link Hide Congrats! 🥳 Like comment: Like comment: 2 likes Like Comment button Reply Collapse Expand Xander Cage Xander Cage Xander Cage Follow Joined Aug 15, 2025 • Aug 15 '25 Dropdown menu Copy link Hide Congratss Like comment: Like comment: Like Thread Thread Xander Cage Xander Cage Xander Cage Follow Joined Aug 15, 2025 • Aug 15 '25 Dropdown menu Copy link Hide Congrats Like comment: Like comment: 2 likes Like Comment button Reply Collapse Expand Fayaz Fayaz Fayaz Follow Software Engineer 𑁍 Thinker 𑁍 Problem Solver. Interests: AI, Software Development, Web Security, Privacy, Nature, Philosophy, History, Spirituality, Politics, Conversation. Location Bangladesh Education BSc. in Computer Science & Engineering Work Building a new SaaS Joined Nov 12, 2017 • Aug 15 '25 • Edited on Aug 15 • Edited Dropdown menu Copy link Hide Congrats to the winners! @eleftheriabatsou and @dr_rvinobchander_ac6a 🥳 Noticed many cool projects, so didn't dare to participate! 🤣 All those who participated but didn't win, better luck next time! 🤞 Like comment: Like comment: 5 likes Like Comment button Reply Collapse Expand Kamil Trávník Kamil Trávník Kamil Trávník Follow Location AIzaSyD25Ancl0WMonV2X_LYdmG4FILZK4dORiY Joined Aug 15, 2019 • Aug 18 '25 Dropdown menu Copy link Hide Ruth 7 Like comment: Like comment: 1 like Like Comment button Reply Collapse Expand Fayaz Fayaz Fayaz Follow Software Engineer 𑁍 Thinker 𑁍 Problem Solver. Interests: AI, Software Development, Web Security, Privacy, Nature, Philosophy, History, Spirituality, Politics, Conversation. Location Bangladesh Education BSc. in Computer Science & Engineering Work Building a new SaaS Joined Nov 12, 2017 • Aug 18 '25 Dropdown menu Copy link Hide 🤔 ? Like comment: Like comment: 1 like Like Comment button Reply Collapse Expand Pravesh Sudha Pravesh Sudha Pravesh Sudha Follow AWS Community Builder Bridging critical thinking and innovation, from philosophy to DevOps. Email programmerpravesh@gmail.com Location India Education Hindu College, Delhi University, India Pronouns he/him Work Freelance DevOps Engineer At Fiverr Joined Jul 19, 2024 • Aug 14 '25 Dropdown menu Copy link Hide Congrats to both of the winners. I saw the submission, they are fab! Like comment: Like comment: 3 likes Like Comment button Reply Collapse Expand Pranamya Rajashekhar Pranamya Rajashekhar Pranamya Rajashekhar Follow Code. Coffee. Cats. Location Mangalore, India Education BTech CSE @ VITC Pronouns She/Her Work AEH @ Accenture Joined Oct 29, 2022 • Aug 14 '25 Dropdown menu Copy link Hide Congrats to the winners! This was a fun one: I'm totally keeping my eye out for the next frontend challenge 😌 Like comment: Like comment: 3 likes Like Comment button Reply Collapse Expand Thea Thea Thea Follow Frontend Engineer with a passion for Python, Vue, React, and graphic design, In-game Photographer, Introvert, Lifelong learner, Curious cat (='.'=) Email thea.mushambadze@gmail.com Location Batumi, Georgia Education Computer and Electrical Engineering Pronouns she/her Work Frontend Engineer Joined Jan 29, 2017 • Aug 14 '25 Dropdown menu Copy link Hide Congrats to the winners! ❤️ Like comment: Like comment: 4 likes Like Comment button Reply Collapse Expand Mayank Prajapati Mayank Prajapati Mayank Prajapati Follow With over 3 years of experience in Web3 and AI-powered solutions, I specialize in building scalable and secure applications. My expertise spans across modern front-end and back-end technologies, with Location Bhopal (MP) India Joined Sep 30, 2024 • Aug 14 '25 • Edited on Aug 14 • Edited Dropdown menu Copy link Hide Congratulations on winning and making react and typescript project as the challenge clearly say to make project on html css javascript. Well done selector. Like comment: Like comment: 1 like Like Comment button Reply Collapse Expand Prema Ananda Prema Ananda Prema Ananda Follow Full-stack developer: AI applications, rapid MVPs, database expert (MongoDB, Redis, PostgreSQL). Multi-agent systems specialist. Fixed-price development. Days, not months! Email djoty108@gmail.com Location Ukraine Joined May 24, 2025 • Aug 15 '25 Dropdown menu Copy link Hide Well-deserved victory! Both projects are top-notch. Congratulations! 🎉 Ah, where to find so much energy for a beautiful frontend... Mine usually runs out after writing the backend. Thanks for the inspiration, there's a lot to learn from! Like comment: Like comment: 3 likes Like Comment button Reply Collapse Expand Alvaro Montoro Alvaro Montoro Alvaro Montoro Follow CSS aficionado ⊆ Web Developer ⊆ Software Developer ⊆ Person (He/Him) Location Austin, TX Work UI Manager / CSS Aficionado Joined Apr 27, 2019 • Aug 14 '25 Dropdown menu Copy link Hide Congratulations! Like comment: Like comment: 2 likes Like Comment button Reply Collapse Expand Peter Kim Frank The DEV Team Peter Kim Frank The DEV Team Peter Kim Frank Follow Doing a bit of everything at DEV / Forem Email peter@dev.to Education Wesleyan University Pronouns He/Him Work Co-Founder Joined Jan 3, 2017 • Aug 14 '25 Dropdown menu Copy link Hide Congrats, this was a fun one to keep an eye on! Like comment: Like comment: 3 likes Like Comment button Reply View full discussion (31 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? 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Contribute to Forem More from The DEV Team Congrats to the AI Agents Intensive Course Writing Challenge Winners! # googleaichallenge # devchallenge # ai # agents Join the Algolia Agent Studio Challenge: $3,000 in Prizes! # algoliachallenge # devchallenge # agents # webdev Join the New Year, New You Portfolio Challenge: $3,000 in Prizes + Feedback from Google AI Team (For Winners and Runner Ups!) # devchallenge # googleaichallenge # career # gemini 💎 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 | 2026-01-13T08:49:32 |
https://dev.to/lingarao_yechuri_2f59259c/navigating-long-ai-chats-is-broken-so-i-built-a-chrome-extension-to-fix-it-54j#the-problem | Navigating Long AI Chats Is Broken — So I Built a Chrome Extension to Fix It - 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 Lingarao Yechuri Posted on Jan 12 Navigating Long AI Chats Is Broken — So I Built a Chrome Extension to Fix It # chatgpt # gemini # productivity # ux If you regularly use ChatGPT, Claude, or Gemini, you’ve probably faced this problem 👇 You had an amazing response 50 messages ago , but now: Endless scrolling Cmd/Ctrl + F doesn’t help much Context is lost Gemini loads history lazily, making it even worse Long AI conversations quickly become unusable once they grow past a certain point. The Problem AI chats are great for: Debugging complex issues Research and learning Long brainstorming sessions Iterative prompt refinement But current chat UIs are not designed for long-term navigation . Common issues: No structured overview of prompts Hard to jump between questions Re-finding past answers is painful Each platform handles history differently (especially Gemini) As conversations grow, signal gets buried under noise . The Solution: Prompt Navigation for AI Chats I built a Chrome extension that adds prompt-level navigation to AI chat platforms. Instead of scrolling endlessly, you get: A structured list of prompts One-click jump to any question Faster navigation across long chats A consistent experience across ChatGPT, Claude, and Gemini Think of it as a table of contents for your AI conversation . How It Works The extension: Detects user prompts in the current chat Builds a navigable list in a side panel Lets you instantly jump to any prompt-response pair Works entirely on the client side (no backend, no data leaving your browser) Gemini-specific note Gemini loads older messages dynamically as you scroll. Because of this, the extension can only index the currently loaded prompts . Once you click an older prompt, Gemini loads more history, and the list updates progressively. This is a platform limitation — not a data or permission issue. Use Cases This extension is especially useful if you: Debug long coding sessions Revisit research-heavy conversations Refine prompts over multiple iterations Use AI as a learning or thinking partner Switch between multiple AI platforms daily Instead of restarting chats or copy-pasting summaries, you can navigate and reuse context efficiently . Why I Built This Many people suggest: “Just ask the LLM to summarize and start a new chat.” That works — but it breaks flow. I wanted: Zero disruption No re-prompting No backend APIs A simple UX improvement that should’ve existed by default So I built it. What’s Next I’m actively improving it based on feedback: Better prompt grouping Cross-chat reuse ideas Performance improvements for very long sessions If you spend hours inside AI chats, this extension is meant for you. here is the extension Feedback and suggestions are welcome 👋 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 Lingarao Yechuri Follow I am Web developer Joined Dec 18, 2025 Trending on DEV Community Hot If a problem can be solved without AI, does AI actually make it better? # ai # architecture # discuss Stop Overengineering: How to Write Clean Code That Actually Ships 🚀 # discuss # javascript # programming # webdev When is a side project worth committing to? # ai # gemini # sideprojects # showdev 💎 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 | 2026-01-13T08:49:32 |
https://www.fine.dev/blog/common-cto-startup-pitfalls#6-building-everything-from-scratch | 7 Common AI Startup Pitfalls and How CTOs Can Avoid Them Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back 7 Common AI Startup Pitfalls and How CTOs Can Avoid Them Table of Contents Misjudging Data Quality Requirements Ignoring Ethical and Bias Concerns Overpromising AI Capabilities Underestimating Infrastructure Needs Lack of Clear Metrics for Success Building Everything from Scratch Overlooking Scalability How to Succeed as a Startup CTO in AI AI is transforming industries. For small startups, it's the difference between success and stagnation. But AI development is complex, especially for small teams with limited resources. Here are seven common pitfalls AI startups face and how CTOs can avoid them. 1. Misjudging Data Quality Requirements A common mistake among startups is underestimating the importance of data quality. Machine learning models thrive on clean, well-labeled data, and poor data quality can lead to incorrect conclusions and unreliable products. CTOs should establish robust data collection and cleaning processes early on, ensuring that data used in training models is accurate and relevant. Prioritize setting up validation checks and consider leveraging synthetic data to supplement small datasets when needed. 2. Ignoring Ethical and Bias Concerns Bias in AI systems can lead to flawed outcomes and reputational damage. Startups may move quickly to deploy their AI, ignoring the need to consider ethical implications and the potential biases inherent in training data. CTOs should take the lead in evaluating datasets for bias and ensuring fairness. Collaborate with data scientists to audit models regularly and be transparent about the limitations and risks associated with your AI. 3. Overpromising AI Capabilities In the excitement of innovation, it's easy to overpromise what AI can achieve. Overpromising to stakeholders or customers often results in unmet expectations, leading to frustration and loss of credibility. CTOs should manage expectations by being transparent about the limitations of current AI capabilities. Start with smaller, tangible goals and build from there, ensuring scalability once the foundational models have proven their value. 4. Underestimating Infrastructure Needs AI can be resource-intensive, requiring significant computational power and specialized hardware. Underestimating infrastructure needs can lead to bottlenecks and unexpected expenses, slowing down development. CTOs should evaluate the computational requirements early on and consider cloud-based solutions or partnerships with third-party providers to keep costs manageable without sacrificing performance. 5. Lack of Clear Metrics for Success Without clear success metrics, AI projects can drift without direction. For a startup, time and resources are scarce commodities. CTOs must define success metrics for their AI initiatives right from the beginning. Whether it's model accuracy, user engagement, or processing speed, having well-defined KPIs helps the team stay focused and enables better iteration based on measurable outcomes. 6. Building Everything from Scratch Many small AI startups fall into the trap of building all components in-house. While this might seem like the right way to maintain control, it’s often impractical and inefficient. CTOs should consider leveraging open-source tools, pre-trained models, and third-party APIs to accelerate development. For example, tools like TensorFlow, PyTorch, and existing NLP models can save time and enable the team to focus on unique value propositions instead of reinventing the wheel. 7. Overlooking Scalability Startups may initially focus on getting a minimum viable product (MVP) out, but overlooking scalability can create issues down the road. Building an AI product that works well for ten users doesn’t necessarily mean it will work for ten thousand. CTOs should keep scalability in mind when designing data pipelines, choosing infrastructure, and developing models. Cloud-based infrastructure and modular code can make scaling smoother as demand grows. How to Succeed as a Startup CTO in AI Avoiding these pitfalls is key to making AI work for your startup. Focus on data quality, avoid biases, manage expectations, and don’t try to do it all alone. Leveraging existing tools and maintaining a clear vision for scalability will help your team deliver AI products that meet market needs and grow with your users. By recognizing these challenges, CTOs can set realistic goals, align resources, and foster a culture of learning and adaptation—key ingredients to AI startup success. Interested in seeing how AI coding assistants can streamline your development process? Discover more with Fine.dev and bring efficiency to your team's AI development journey. Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:32 |
https://docs.suprsend.com/docs/inbox-react-native#example-implementation | React Native (Headless) - SuprSend, Notification infrastructure for Product teams Skip to main content SuprSend, Notification infrastructure for Product teams home page Search... ⌘ K Community Trust Center Platform Status Postman Collection GETTING STARTED What is SuprSend? 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Navigation React Native React Native (Headless) Documentation API Reference Management API CLI Reference Developer Resources Changelog Documentation API Reference Management API CLI Reference Developer Resources Changelog React Native React Native (Headless) OpenAI Open in ChatGPT Integrate SuprSend inbox in React Native using the headless library and hooks. OpenAI Open in ChatGPT The Headless Inbox library provides hooks that can be integrated into React Native components for building inbox, and toast functionality in your applications. Installation npm yarn Copy Ask AI npm install @suprsend/react-headless Initialization Enclose your app in SuprSendProvider like below and pass the workspace key , distinct_id , and subscriber_id . App.js Copy Ask AI import { SuprSendProvider } from "@suprsend/react-headless" ; function App () { return ( < SuprSendProvider workspaceKey = "<workspace_key>" subscriberId = "<subscriber_id>" distinctId = "<distinct_id>" > < YourAppCode /> </ SuprSendProvider > ); } SuprSend hooks can only be used inside of SuprSendProvider. Adding SuprSend inbox component 1) useBell hook This hook provides unSeenCount, markAllSeen which is related to the Bell icon in the inbox unSeenCount : Use this variable to show the unseen notification count anywhere in your application. markAllSeen : Used to mark seen for all notifications. Call this method on clicking the bell icon so that it will reset the bell count to 0. Bell.js Copy Ask AI import { useBell } from "@suprsend/react-headless" ; function Bell () { const { unSeenCount , markAllSeen } = useBell (); return < p onClick = { () => markAllSeen () } > { unSeenCount } </ p > ; } 2) useNotifications hook This hook provides a notifications list, unSeenCount, markClicked, markAllSeen. notifications : List of all notifications. This array can be looped and notifications can be displayed. unSeenCount : Use this variable to show the unseen notification count anywhere in your application. markClicked : Method used to mark a notification as clicked. Pass notification id which is clicked as the first param. markAllRead : This method is used to mark all individual notifications as seen. Add a button anywhere in your notification tray as Mark all as read and on clicking of that call this method. mark all read sample Notifications.js Copy Ask AI import { useNotifications } from "@suprsend/react-headless" ; function Notifications () { const { notifications , markAllRead } = useNotifications (); return ( < div > < h3 > Notifications </ h3 > < p onClick = { () => { markAllRead ()} } > Mark all read </ p > { notifications . map (( notification ) => { return ( < NotificationItem notification = { notification } key = { notification . n_id } markClicked = { markClicked } /> ); }) } </ div > ); } function NotificationItem ({ notification , markClicked }) { const message = notification . message ; const created = new Date ( notification . created_on ). toDateString (); return ( < div onClick = { () => { markClicked ( notification . n_id ); } } style = { { backgroundColor: "lightgray" , margin: 2 , borderRadius: 5 , padding: 4 , cursor: "pointer" , } } > < div style = { { display: "flex" } } > < p > { message . header } </ p > { ! notification . seen_on && < p style = { { color: "green" } } > * </ p > } </ div > < div > < p > { message . text } </ p > </ div > < div > < p style = { { fontSize: "12px" } } > { created } </ p > </ div > </ div > ); } Notification object structure: Notification.js Copy Ask AI interface IRemoteNotification { n_id : string n_category : string created_on : number seen_on ?: number message : IRemoteNotificationMessage } interface IRemoteNotificationMessage { header : string schema : string text : string url : string extra_data ?: string actions ?: { url : string ; name : string }[] avatar ?: { avatar_url ?: string ; action_url ?: string } subtext ?: { text ?: string ; action_url ?: string } } 3) useEvent hook This hook is an event emitter when and takes arguments event type and callback function when the event happens. Must be called anywhere inside SuprSendProvider Handled Events: new_notification: Called when the new notification occurs can be used to show toast in your application. Sample.js Copy Ask AI import { useEvent } from "@suprsend/react-headless" ; function Home () { useEvent ( "new_notification" , ( newNotification ) => { console . log ( "new notification data: " , newNotification ); alert ( "You have new notifications" ); }); return < p > Home </ p > ; } Example implementation Check the example implementation. Was this page helpful? Yes No Suggest edits Raise issue Previous HMAC Authentication Steps to safely authenticate users and generate subscriber-id in headless Inbox implementation. Next ⌘ I x github linkedin youtube Powered by On this page Installation Initialization Adding SuprSend inbox component 1) useBell hook 2) useNotifications hook 3) useEvent hook Example implementation | 2026-01-13T08:49:32 |
https://dev.to/voxel51/computer-vision-meetup-rgb-x-model-development-exploring-four-channel-ml-workflows-5hne | Computer Vision Meetup: RGB-X Model Development: Exploring Four Channel ML Workflows - 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 Jimmy Guerrero for Voxel51 Posted on Oct 11, 2024 Computer Vision Meetup: RGB-X Model Development: Exploring Four Channel ML Workflows # computervision # datascience # ai # machinelearning Machine Learning is rapidly becoming multimodal. With many models in Computer Vision expanding to areas like vision and 3D, one area that has also quietly been advancing rapidly is RGB-X data, such as infrared, depth, or normals. In this talk we will cover some of the leading models in this exploding field of Visual AI and show some best practices on how to work with these complex data formats! About the Speaker Daniel Gural is a seasoned Machine Learning Evangelist with a strong passion for empowering Data Scientists and ML Engineers to unlock the full potential of their data. Currently serving as a valuable member of Voxel51, he takes a leading role in efforts to bridge the gap between practitioners and the necessary tools, enabling them to achieve exceptional outcomes. Not a Meetup member? Sign up to attend the next event! Recorded on Oct 10, 2024 at the AI, Machine Learning and Computer Vision Meetup. 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? 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Hide child comments as well Confirm For further actions, you may consider blocking this person and/or reporting abuse Voxel51 Follow More from Voxel51 Elderly Action Recognition: No One Should Age Alone, AI’s Promise for the Next Generation of Elders # computervision # ai # machinelearning # datascience Journey into Visual AI: Exploring FiftyOne Together — Part IV Model Evaluation # computervision # machinelearning # ai # datascience How to Tame Your (Data) Dragon # computervision # ai # machinelearning # datascience 💎 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://www.fine.dev/blog/common-cto-startup-pitfalls#3-overpromising-ai-capabilities | 7 Common AI Startup Pitfalls and How CTOs Can Avoid Them Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back 7 Common AI Startup Pitfalls and How CTOs Can Avoid Them Table of Contents Misjudging Data Quality Requirements Ignoring Ethical and Bias Concerns Overpromising AI Capabilities Underestimating Infrastructure Needs Lack of Clear Metrics for Success Building Everything from Scratch Overlooking Scalability How to Succeed as a Startup CTO in AI AI is transforming industries. For small startups, it's the difference between success and stagnation. But AI development is complex, especially for small teams with limited resources. Here are seven common pitfalls AI startups face and how CTOs can avoid them. 1. Misjudging Data Quality Requirements A common mistake among startups is underestimating the importance of data quality. Machine learning models thrive on clean, well-labeled data, and poor data quality can lead to incorrect conclusions and unreliable products. CTOs should establish robust data collection and cleaning processes early on, ensuring that data used in training models is accurate and relevant. Prioritize setting up validation checks and consider leveraging synthetic data to supplement small datasets when needed. 2. Ignoring Ethical and Bias Concerns Bias in AI systems can lead to flawed outcomes and reputational damage. Startups may move quickly to deploy their AI, ignoring the need to consider ethical implications and the potential biases inherent in training data. CTOs should take the lead in evaluating datasets for bias and ensuring fairness. Collaborate with data scientists to audit models regularly and be transparent about the limitations and risks associated with your AI. 3. Overpromising AI Capabilities In the excitement of innovation, it's easy to overpromise what AI can achieve. Overpromising to stakeholders or customers often results in unmet expectations, leading to frustration and loss of credibility. CTOs should manage expectations by being transparent about the limitations of current AI capabilities. Start with smaller, tangible goals and build from there, ensuring scalability once the foundational models have proven their value. 4. Underestimating Infrastructure Needs AI can be resource-intensive, requiring significant computational power and specialized hardware. Underestimating infrastructure needs can lead to bottlenecks and unexpected expenses, slowing down development. CTOs should evaluate the computational requirements early on and consider cloud-based solutions or partnerships with third-party providers to keep costs manageable without sacrificing performance. 5. Lack of Clear Metrics for Success Without clear success metrics, AI projects can drift without direction. For a startup, time and resources are scarce commodities. CTOs must define success metrics for their AI initiatives right from the beginning. Whether it's model accuracy, user engagement, or processing speed, having well-defined KPIs helps the team stay focused and enables better iteration based on measurable outcomes. 6. Building Everything from Scratch Many small AI startups fall into the trap of building all components in-house. While this might seem like the right way to maintain control, it’s often impractical and inefficient. CTOs should consider leveraging open-source tools, pre-trained models, and third-party APIs to accelerate development. For example, tools like TensorFlow, PyTorch, and existing NLP models can save time and enable the team to focus on unique value propositions instead of reinventing the wheel. 7. Overlooking Scalability Startups may initially focus on getting a minimum viable product (MVP) out, but overlooking scalability can create issues down the road. Building an AI product that works well for ten users doesn’t necessarily mean it will work for ten thousand. CTOs should keep scalability in mind when designing data pipelines, choosing infrastructure, and developing models. Cloud-based infrastructure and modular code can make scaling smoother as demand grows. How to Succeed as a Startup CTO in AI Avoiding these pitfalls is key to making AI work for your startup. Focus on data quality, avoid biases, manage expectations, and don’t try to do it all alone. Leveraging existing tools and maintaining a clear vision for scalability will help your team deliver AI products that meet market needs and grow with your users. By recognizing these challenges, CTOs can set realistic goals, align resources, and foster a culture of learning and adaptation—key ingredients to AI startup success. Interested in seeing how AI coding assistants can streamline your development process? Discover more with Fine.dev and bring efficiency to your team's AI development journey. Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:32 |
https://dev.to/dougwithseismic/spin-up-a-license-key-api-on-new-railway-functions-in-less-than-two-minutes-4m5i#comments | Spin up a License Key API on new Railway Functions In Less Than Two Minutes! - 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 Doug silkstone Posted on Feb 11, 2025 Spin up a License Key API on new Railway Functions In Less Than Two Minutes! # serverless # javascript # bunjs # railway Railway's new Functions feature makes it incredibly easy to deploy single-file TypeScript code without the overhead of managing infrastructure or repositories. In this article, we'll walk through building a license API using Hono , Redis, and the Bun runtime—all in a single file. No more excuses, it's time to build software! Note: Railway Functions are perfect for small tasks like handling webhooks, cron jobs, or simple APIs. What makes them even better is how they interact with the rest of the Railway ecosystem. Customizing Your Prefixes Before diving in, make sure to edit the prefix values in the code to suit your needs. The default prefixes, such as WTHSEISMIC_ , are placeholders and should be replaced with values relevant to your project to ensure uniqueness and avoid conflicts. Prerequisites A Railway account. Basic knowledge of TypeScript. Familiarity with serverless concepts. Step 1: Set Up a New Project Create a New Project: Head over to your Railway dashboard and create a new project. Choose the Functions service to get started. Select the Functions Environment: Railway will automatically set up the environment using the Bun runtime for your function. No need for additional configuration! Step 2: Provision Redis Add a Redis Service: In your Railway project, provision a Redis service. This will be used to store license data. Share Environment Variables: After provisioning Redis, click on the Redis service, then head to Variables . Use the "Share Variables" feature to expose the following environment variables to your function: REDISHOST REDISPORT REDISUSER REDISPASSWORD (Optional) REDIS_TLS if your Redis requires TLS. Step 3: Create Your Function Create a New Function: In the Railway dashboard, click New Function . This opens the built-in editor which supports TypeScript using Bun. Set Up Additional Environment Variables: Add any additional variables your API requires. For example, generate unique values (e.g., using a UUID generator) for: ADMIN_KEY HMAC_SECRET PAYMENT_SECRET Optionally, set PORT (defaults to 3000 if not provided). Step 4: Paste and Save the Code Copy and paste the following complete code into the Source Code tab of your Railway Function. Save your changes using ⌘+S (or Ctrl+S on Windows). Railway will automatically deploy your changes! // index.ts import { Hono } from " hono " ; import { cors } from " hono/cors " ; import { rateLimiter } from " hono-rate-limiter " ; import Redis from " ioredis " ; import crypto from " node:crypto " ; // Custom prefix configuration const LICENSE_PREFIX = " WTHSEISMIC_ " ; const LICENSE_SET = " WTHSEISMIC_LICENSES " ; const WEBHOOK_SET = " WTHSEISMIC_WEBHOOKS " ; // Updated LicenseTier type to include "unlimited" type LicenseTier = " basic " | " pro " | " enterprise " | " unlimited " ; ... ( full code here ) Enter fullscreen mode Exit fullscreen mode Step 5: Test Your Deployment Once deployed, Railway provides a URL for your function. Use the following curl commands to test each endpoint: 5.1: Test the Root Endpoint Returns the current timestamp. curl -X GET https://<your-function-url>/ Enter fullscreen mode Exit fullscreen mode 5.2: Create a New License Creates a new license key for a user. curl -X POST https://<your-function-url>/api/licenses \ -H "Content-Type: application/json" \ -d '{"email": "user@example.com", "tier": "pro", "durationDays": 90}' Enter fullscreen mode Exit fullscreen mode 5.3: Validate a License Validates an existing license key. curl -X GET https://<your-function-url>/api/licenses/WTHSEISMIC_xxx Enter fullscreen mode Exit fullscreen mode 5.4: Handle Payment Webhook Simulates a payment webhook to extend a license's duration. curl -X POST https://<your-function-url>/webhooks/payment \ -H "Content-Type: text/plain" \ -H "X-Payment-Signature: <signature>" \ -d '{"licenseKey": "WTHSEISMIC_xxx", "durationDays": 30}' Enter fullscreen mode Exit fullscreen mode 5.5: Extend License via Admin Endpoint Extends the license duration using an admin key. curl -X POST https://<your-function-url>/admin/licenses/WTHSEISMIC_xxx/extend \ -H "Content-Type: application/json" \ -H "X-Admin-Key: your-secret-key" \ -d '{"durationDays": 30}' Enter fullscreen mode Exit fullscreen mode Use these examples to verify that your function is working as expected. So there you have it, in less than two minutes, we've put together a license key server on Railway using Redis, Hono and Bun - Demonstrating how headache-free the whole process is, and how (not so) small snippets of code can live within your Railway ecoystem within minutes. Great feature, great platform. 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 Doug silkstone Follow Location Prague, CZ Joined Feb 11, 2025 Trending on DEV Community Hot How I Built an AI Terraform Review Agent on Serverless AWS # aws # terraform # serverless # devops What was your win this week??? # weeklyretro # discuss I Didn’t “Become” a Senior Developer. I Accumulated Damage. # programming # ai # career # discuss 💎 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 | 2026-01-13T08:49:32 |
https://dev.to/red5 | Red5 - 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 Forem Close Follow Organization actions Red5 Live video, audio, and data streaming solutions and infrastructure for developers, startup, and enterprises. Products include open-source solutions such as open-source Red5 media server, Red5 Pro, Red5 Cloud, and SDKs. Joined Joined on Aug 13, 2025 Twitter logo GitHub logo External link icon Meet the team Post 18 posts published Member 2 members H.264 vs H.265 vs VP9: Which Codec Should You Use in 2026? Maria Artamonova Maria Artamonova Maria Artamonova Follow Jan 9 H.264 vs H.265 vs VP9: Which Codec Should You Use in 2026? # livestreaming # software # learning # beginners Comments Add Comment 20 min read How to Use RTSP Protocol in Browsers And Why Direct Integration Isn’t Possible Maria Artamonova Maria Artamonova Maria Artamonova Follow Jan 6 How to Use RTSP Protocol in Browsers And Why Direct Integration Isn’t Possible # livestreaming # software # learning # beginners Comments Add Comment 8 min read WebRTC Architecture Explained: P2P vs SFU vs MCU vs XDN Maria Artamonova Maria Artamonova Maria Artamonova Follow Jan 5 WebRTC Architecture Explained: P2P vs SFU vs MCU vs XDN # livestreaming # webrtc # architecture Comments Add Comment 9 min read Debunking 9 Myths About WebRTC Scalability Maria Artamonova Maria Artamonova Maria Artamonova Follow Jan 2 Debunking 9 Myths About WebRTC Scalability # livestreaming # software # learning # beginners Comments Add Comment 11 min read What is WebRTC? Definition, Use cases, How It Works [2025 Updated] Maria Artamonova Maria Artamonova Maria Artamonova Follow Dec 23 '25 What is WebRTC? Definition, Use cases, How It Works [2025 Updated] # livestreaming # software # learning # webrtc Comments Add Comment 20 min read What is Ultra-Low Latency? Definition, Use Cases, and How to Achieve it [2025] Maria Artamonova Maria Artamonova Maria Artamonova Follow Dec 18 '25 What is Ultra-Low Latency? Definition, Use Cases, and How to Achieve it [2025] # livestreaming # software # learning # beginners Comments Add Comment 21 min read AV1 vs H.264: Codec Comparison Guide [2025 Updated] Maria Artamonova Maria Artamonova Maria Artamonova Follow Dec 15 '25 AV1 vs H.264: Codec Comparison Guide [2025 Updated] # livestreaming # software # av1 # h264 Comments Add Comment 10 min read MOQ vs WebRTC: Why Both Protocols Can And Should Exist In Live Streaming Space In 2025 Maria Artamonova Maria Artamonova Maria Artamonova Follow Dec 12 '25 MOQ vs WebRTC: Why Both Protocols Can And Should Exist In Live Streaming Space In 2025 # livestreaming # software # moq # webrtc Comments 2 comments 6 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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https://dev.to/t/bunjs/page/7#main-content | Bunjs Page 7 - 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 # bunjs Follow Hide Create Post Older #bunjs posts 4 5 6 7 8 9 10 11 Posts Left menu 👋 Sign in for the ability to sort posts by relevant , latest , or top . Right menu Extending Hotwire beyond Ruby on Rails Daniel Bengl Daniel Bengl Daniel Bengl Follow for Renuo AG Mar 8 '24 Extending Hotwire beyond Ruby on Rails # rails # hotwire # bunjs # webdev 1 reaction Comments Add Comment 6 min read Bun-ify Your Project Anna Anna Anna Follow for Beau Mar 6 '24 Bun-ify Your Project # javascript # bunjs # vue # nuxt 9 reactions Comments 1 comment 5 min read HTMX with Bun: A Real World App sjdonado sjdonado sjdonado Follow Mar 5 '24 HTMX with Bun: A Real World App # htmx # bunjs # tailwindcss # opensource 9 reactions Comments Add Comment 5 min read Developing your own Chrome Extension - Fixing Errors with ts-morph and using Buns API (Part 4) JoLo JoLo JoLo Follow Mar 3 '24 Developing your own Chrome Extension - Fixing Errors with ts-morph and using Buns API (Part 4) # typescript # chrome # bunjs # tsmorph 1 reaction Comments Add Comment 6 min read Developing your own Chrome Extension in Bun and Typescript (Part 2) JoLo JoLo JoLo Follow Mar 2 '24 Developing your own Chrome Extension in Bun and Typescript (Part 2) # bunjs # chrome # typescript # webdev 1 reaction Comments Add Comment 7 min read Will Bun.js replace Node.js? Renato Renato Renato Follow Feb 28 '24 Will Bun.js replace Node.js? # node # bunjs # programming # javascript Comments Add Comment 4 min read 🍞 Bun, A Faster JavaScript Runtime James Robert Lund III James Robert Lund III James Robert Lund III Follow Feb 27 '24 🍞 Bun, A Faster JavaScript Runtime # bunjs # node # webdev # javascript 3 reactions Comments 1 comment 3 min read Elysia: A Bun-first Web Framework Urmalveer Singh Urmalveer Singh Urmalveer Singh Follow Feb 5 '24 Elysia: A Bun-first Web Framework # webdev # bunjs # elysia # beginners 76 reactions Comments 16 comments 3 min read Bun Agus Sudarmanto Agus Sudarmanto Agus Sudarmanto Follow Feb 11 '24 Bun # webdev # bunjs # typescript Comments Add Comment 3 min read Why we chose Bun Christopher Ribeiro Christopher Ribeiro Christopher Ribeiro Follow for Alertpix Feb 8 '24 Why we chose Bun # webdev # javascript # programming # bunjs 8 reactions Comments 1 comment 2 min read Writing a simple RESTful TypeScript web service with Bun.js Nazeel Nazeel Nazeel Follow Feb 5 '24 Writing a simple RESTful TypeScript web service with Bun.js # bunjs # webdev # restapi # typescript 8 reactions Comments Add Comment 9 min read Streamlining JavaScript Development with PackageFlex: One-Click Copy for npm Install Commands Bhoomit Ganatra Bhoomit Ganatra Bhoomit Ganatra Follow Jan 27 '24 Streamlining JavaScript Development with PackageFlex: One-Click Copy for npm Install Commands # chromeextension # npm # yarn # bunjs 5 reactions Comments 1 comment 2 min read An 85 Lines of Code Static Site Generator with Bun and JSX Sergei Orlov Sergei Orlov Sergei Orlov Follow Jan 24 '24 An 85 Lines of Code Static Site Generator with Bun and JSX # typescript # bunjs # jsx # ssg 1 reaction Comments Add Comment 6 min read Always start with a code template Jack Le Hamster Jack Le Hamster Jack Le Hamster Follow Jan 28 '24 Always start with a code template # template # bunjs # npm # typescript 3 reactions Comments 1 comment 7 min read Introducing JetPath: A Lightning-Fast, Code-Saving Node Framework, for Supercharged Server-Side apps! ✨🚀 Friday candour Friday candour Friday candour Follow Dec 28 '23 Introducing JetPath: A Lightning-Fast, Code-Saving Node Framework, for Supercharged Server-Side apps! ✨🚀 # node # bunjs # backend # express 1 reaction Comments 1 comment 7 min read Creating a Modern Web Application with Bun, Astro, TypeScript, and HTMX (BATH Stack Quickstart) Fritz Blueford Fritz Blueford Fritz Blueford Follow Dec 6 '23 Creating a Modern Web Application with Bun, Astro, TypeScript, and HTMX (BATH Stack Quickstart) # bunjs # astro # typescript # htmx 5 reactions Comments Add Comment 2 min read I'm looking for contributors for my open source project Jack Le Hamster Jack Le Hamster Jack Le Hamster Follow Nov 30 '23 I'm looking for contributors for my open source project # javascript # gamedev # napl # bunjs Comments Add Comment 1 min read Bun adoption guide: Overview, examples, and alternatives Matt Angelosanto Matt Angelosanto Matt Angelosanto Follow for LogRocket Nov 22 '23 Bun adoption guide: Overview, examples, and alternatives # bunjs # javascript 11 reactions Comments Add Comment 12 min read My thoughts on ElysiaJS Chola Chola Chola Follow Nov 19 '23 My thoughts on ElysiaJS # bunjs # backend # development # elysiajs 9 reactions Comments 2 comments 4 min read Creating and running a Next.js project using Bun Gustavo Bueno Gustavo Bueno Gustavo Bueno Follow Nov 17 '23 Creating and running a Next.js project using Bun # bunjs # nextjs # javascript # tutorial 2 reactions Comments Add Comment 2 min read Bun: The Supercharged JavaScript Runtime Gustavo Bueno Gustavo Bueno Gustavo Bueno Follow Nov 21 '23 Bun: The Supercharged JavaScript Runtime # bunjs # javascript # runtime # development 2 reactions Comments 1 comment 2 min read Dockerizing NuxtJS with Bun DeVoresyah ArEst DeVoresyah ArEst DeVoresyah ArEst Follow Nov 8 '23 Dockerizing NuxtJS with Bun # docker # nuxt # bunjs 8 reactions Comments 2 comments 2 min read Started a repo for my new game engine Jack Le Hamster Jack Le Hamster Jack Le Hamster Follow Nov 4 '23 Started a repo for my new game engine # javascript # bunjs # gamedev # napl 2 reactions Comments Add Comment 2 min read Build an Express App Using Bun and Deploy It To Render With Docker Andrew Shearer Andrew Shearer Andrew Shearer Follow Oct 25 '23 Build an Express App Using Bun and Deploy It To Render With Docker # express # bunjs # docker # cloud 14 reactions Comments 3 comments 5 min read Going real time with donation alerts Christopher Ribeiro Christopher Ribeiro Christopher Ribeiro Follow for Alertpix Oct 20 '23 Going real time with donation alerts # webdev # javascript # node # bunjs 12 reactions 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://golf.forem.com/youtube_golf/no-laying-up-podcast-the-booth-vol23-trap-draw-ep-365-11ha#comments | No Laying Up Podcast: The Booth Vol.23 | Trap Draw, Ep 365 - Golf 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. 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 Golf Forem 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 YouTube Golf Posted on Oct 31, 2025 No Laying Up Podcast: The Booth Vol.23 | Trap Draw, Ep 365 # golf # recommendations The Booth Vol.23 | Trap Draw Ep. 365 finds Cody and Neil dishing out mea culpas (and demanding yours) before diving into Neil’s big move to the suburbs, their die-hard hardware-store loyalties, current watch recommendations, decoding social-media feedback, Neil’s panel appearance at Columbia, and more of their signature banter. They also rally support for the Evans Scholars Foundation, thank sponsors ServPro, Rhoback, and Stone Creek Coffee, and remind listeners to subscribe to the No Laying Up Newsletter and YouTube channel—or join The Nest for ad-light episodes, exclusive perks, and an annual gift. Watch on YouTube 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 YouTube Golf Follow Joined Jun 22, 2025 More from YouTube Golf No Laying Up Podcast: 1108: Brooks Koepka and the Returning Member Program # golf # recommendations No Laying Up Podcast: 1108: Koepka and the Returning Member Program # golf # recommendations Grant Horvat: Can I Beat Bob With 1 Club? (Meltdown) # golf # videogames # recommendations 💎 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 Golf Forem — A community of golfers and golfing 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 . Golf Forem © 2016 - 2026. Where hackers, sticks, weekend warriors, pros, architects and wannabes come together Log in Create account | 2026-01-13T08:49:32 |
https://golf.forem.com/t/recommendations#main-content | Recommendations - Golf 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 Golf Forem Close # recommendations Follow Hide Crowdsourced film and TV recommendations Create Post Posts Left menu 👋 Sign in for the ability to sort posts by relevant , latest , or top . Right menu Golf.com: Behind Closed Doors: Sleepy Hollow’s Opulent Home on the Hudson YouTube Golf YouTube Golf YouTube Golf Follow Nov 7 '25 Golf.com: Behind Closed Doors: Sleepy Hollow’s Opulent Home on the Hudson # golf # offtopic # recommendations Comments Add Comment 1 min read No Laying Up Podcast: The Booth Vol.23 | Trap Draw, Ep 365 YouTube Golf YouTube Golf YouTube Golf Follow Oct 31 '25 No Laying Up Podcast: The Booth Vol.23 | Trap Draw, Ep 365 # golf # recommendations Comments Add Comment 1 min read No Laying Up Podcast: Chop Session with DJ | Trap Draw, Ep 367 YouTube Golf YouTube Golf YouTube Golf Follow Oct 31 '25 No Laying Up Podcast: Chop Session with DJ | Trap Draw, Ep 367 # golf # recommendations # offtopic # betting Comments Add Comment 1 min read No Laying Up Podcast: Lava Golf, International Crown + Jack's Big Win | NLU Pod, Ep 1085 YouTube Golf YouTube Golf YouTube Golf Follow Oct 29 '25 No Laying Up Podcast: Lava Golf, International Crown + Jack's Big Win | NLU Pod, Ep 1085 # golf # recommendations Comments Add Comment 1 min read Golf.com: MLB All-Star Dexter Fowler's Ultimate Putting Tip YouTube Golf YouTube Golf YouTube Golf Follow Oct 31 '25 Golf.com: MLB All-Star Dexter Fowler's Ultimate Putting Tip # golf # lessons # recommendations Comments Add Comment 1 min read Peter Finch Golf: I challenged a HEAD PRO at HIS OWN course... (Ep. 1 – Heswall GC) YouTube Golf YouTube Golf YouTube Golf Follow Oct 25 '25 Peter Finch Golf: I challenged a HEAD PRO at HIS OWN course... (Ep. 1 – Heswall GC) # golf # betting # recommendations Comments Add Comment 1 min read Golf.com: The Heartfelt Purpose Behind the Folds of Honor Collegiate YouTube Golf YouTube Golf YouTube Golf Follow Oct 29 '25 Golf.com: The Heartfelt Purpose Behind the Folds of Honor Collegiate # golf # recommendations Comments Add Comment 1 min read No Laying Up Podcast: Fall Events That Slap + Great Dunes | NLU Pod, Ep 1091 YouTube Golf YouTube Golf YouTube Golf Follow Nov 20 '25 No Laying Up Podcast: Fall Events That Slap + Great Dunes | NLU Pod, Ep 1091 # golf # recommendations 5 reactions Comments Add Comment 1 min read No Laying Up Podcast: The Incidents of Sergio Garcia | NLU Pod, Ep 1086 YouTube Golf YouTube Golf YouTube Golf Follow Oct 29 '25 No Laying Up Podcast: The Incidents of Sergio Garcia | NLU Pod, Ep 1086 # golf # recommendations 3 reactions Comments Add Comment 1 min read No Laying Up Podcast: The Science of Putting with Dr. Sasho MacKenzie | NLU Pod, Ep 1082 YouTube Golf YouTube Golf YouTube Golf Follow Oct 15 '25 No Laying Up Podcast: The Science of Putting with Dr. Sasho MacKenzie | NLU Pod, Ep 1082 # golf # recommendations # lessons 2 reactions Comments Add Comment 1 min read Danny Maude: Use This Incredible Drill To Hit Every Club Longer YouTube Golf YouTube Golf YouTube Golf Follow Oct 11 '25 Danny Maude: Use This Incredible Drill To Hit Every Club Longer # golf # lessons # recommendations Comments Add Comment 1 min read No Laying Up Podcast: Chop Session with Cody | Trap Draw, Ep 361 YouTube Golf YouTube Golf YouTube Golf Follow Oct 12 '25 No Laying Up Podcast: Chop Session with Cody | Trap Draw, Ep 361 # golf # offtopic # recommendations Comments Add Comment 1 min read Peter Finch Golf: My favourite course ever. No question. YouTube Golf YouTube Golf YouTube Golf Follow Oct 10 '25 Peter Finch Golf: My favourite course ever. No question. # golf # recommendations Comments Add Comment 1 min read No Laying Up Podcast: Ryder Cup Loose Ends, Sand Valley + Weekly Recap | NLU Pod, Ep 1079 YouTube Golf YouTube Golf YouTube Golf Follow Oct 7 '25 No Laying Up Podcast: Ryder Cup Loose Ends, Sand Valley + Weekly Recap | NLU Pod, Ep 1079 # golf # recommendations Comments Add Comment 1 min read Danny Maude: The Ridiculous Reason Why 90% of Golfers Can't Strike Their Irons & Hybrids YouTube Golf YouTube Golf YouTube Golf Follow Oct 30 '25 Danny Maude: The Ridiculous Reason Why 90% of Golfers Can't Strike Their Irons & Hybrids # golf # lessons # recommendations 1 reaction Comments Add Comment 1 min read Bryan Bros Golf: We Challenged the US Junior Champion to a Match! YouTube Golf YouTube Golf YouTube Golf Follow Sep 24 '25 Bryan Bros Golf: We Challenged the US Junior Champion to a Match! # golf # recommendations Comments Add Comment 1 min read Peter Finch Golf: I’ve wanted to play here all my life... YouTube Golf YouTube Golf YouTube Golf Follow Sep 24 '25 Peter Finch Golf: I’ve wanted to play here all my life... # golf # recommendations Comments Add Comment 1 min read Bryan Bros Golf: We Played With the #1 Junior Golfer in the Country YouTube Golf YouTube Golf YouTube Golf Follow Sep 24 '25 Bryan Bros Golf: We Played With the #1 Junior Golfer in the Country # golf # recommendations Comments Add Comment 1 min read No Laying Up Podcast: BallKnowers with Bob Sturm | Trap Draw, Ep 360 YouTube Golf YouTube Golf YouTube Golf Follow Sep 24 '25 No Laying Up Podcast: BallKnowers with Bob Sturm | Trap Draw, Ep 360 # golf # betting # recommendations Comments Add Comment 1 min read Bryan Bros Golf: Can We Beat the US Junior Champion?! YouTube Golf YouTube Golf YouTube Golf Follow Sep 24 '25 Bryan Bros Golf: Can We Beat the US Junior Champion?! # golf # recommendations Comments Add Comment 1 min read Golf.com: The Unsolved Mystery Behind Bethpage Black's Famous Warning Sign YouTube Golf YouTube Golf YouTube Golf Follow Sep 23 '25 Golf.com: The Unsolved Mystery Behind Bethpage Black's Famous Warning Sign # golf # recommendations Comments Add Comment 1 min read Grant Horvat: Can I Beat Max Homa if I Start 5 Under Par? YouTube Golf YouTube Golf YouTube Golf Follow Sep 22 '25 Grant Horvat: Can I Beat Max Homa if I Start 5 Under Par? # golf # recommendations # videogames Comments Add Comment 1 min read Grant Horvat: Grant Horvat Vs Max Homa (Stroke Play) YouTube Golf YouTube Golf YouTube Golf Follow Sep 22 '25 Grant Horvat: Grant Horvat Vs Max Homa (Stroke Play) # golf # recommendations Comments Add Comment 1 min read Peter Finch Golf: I play the FIRST EVER Ryder Cup Course... YouTube Golf YouTube Golf YouTube Golf Follow Sep 20 '25 Peter Finch Golf: I play the FIRST EVER Ryder Cup Course... # golf # recommendations Comments Add Comment 1 min read No Laying Up Podcast: The Wild Life of Joey Ferrari | NLU Pod, Ep 1084 YouTube Golf YouTube Golf YouTube Golf Follow Oct 22 '25 No Laying Up Podcast: The Wild Life of Joey Ferrari | NLU Pod, Ep 1084 # golf # recommendations Comments 1 comment 1 min read loading... trending guides/resources Golf.com: Behind Closed Doors: Sleepy Hollow’s Opulent Home on the Hudson No Laying Up Podcast: The Booth Vol.23 | Trap Draw, Ep 365 Golf.com: MLB All-Star Dexter Fowler's Ultimate Putting Tip No Laying Up Podcast: Chop Session with DJ | Trap Draw, Ep 367 Danny Maude: The Ridiculous Reason Why 90% of Golfers Can't Strike Their Irons & Hybrids No Laying Up Podcast: Fall Events That Slap + Great Dunes | NLU Pod, Ep 1091 💎 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 Golf Forem — A community of golfers and golfing 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. 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https://dev.to/voxel51/eccv-2024-zero-shot-video-anomaly-detection-leveraging-large-language-models-for-rule-based-4gn3 | ECCV 2024: Zero-shot Video Anomaly Detection: Leveraging Large Language Models for Rule-Based Reasoning - 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 Jimmy Guerrero for Voxel51 Posted on Nov 22, 2024 ECCV 2024: Zero-shot Video Anomaly Detection: Leveraging Large Language Models for Rule-Based Reasoning # computervision # datascience # ai # machinelearning Video Anomaly Detection (VAD) is critical for applications such as surveillance and autonomous driving. However, existing methods lack transparent reasoning, limiting public trust in real-world deployments. We introduce a rule-based reasoning framework that leverages Large Language Models (LLMs) to induce detection rules from few-shot normal samples and apply them to identify anomalies, incorporating strategies such as rule aggregation and perception smoothing to enhance robustness. The abstract nature of language enables rapid adaptation to diverse VAD scenarios, ensuring flexibility and broad applicability. ECCV 2024 Paper: Follow the Rules: Reasoning for Video Anomaly Detection with Large Language Models About the Speaker Yuchen Yang is a a Ph.D. Candidate in the Department of Computer Science at Johns Hopkins University. Her research aims to deliver functional, trustworthy solutions for machine learning and AI systems. 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? 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Hide child comments as well Confirm For further actions, you may consider blocking this person and/or reporting abuse Voxel51 Follow More from Voxel51 Elderly Action Recognition: No One Should Age Alone, AI’s Promise for the Next Generation of Elders # computervision # ai # machinelearning # datascience Journey into Visual AI: Exploring FiftyOne Together — Part IV Model Evaluation # computervision # machinelearning # ai # datascience How to Tame Your (Data) Dragon # computervision # ai # machinelearning # datascience 💎 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.suprsend.com/docs/type-generation | Type Safety - SuprSend, Notification infrastructure for Product teams Skip to main content SuprSend, Notification infrastructure for Product teams home page Search... ⌘ K Community Trust Center Platform Status Postman Collection Developer Resources Overview Updates and Versioning Versioning and Support Policy SDK Changelog Authentication API Keys and Secrets Service Token Best Practices for Key & Token Management MCP Overview BETA Quickstart Tool List Building with LLMs Security Security SDKs and APIs SDKs Management API REST API Postman Collection Features Validate Trigger Payload Type Safety Testing Testing the Template Test Mode Monitoring and Logging Logs Data Out Contact Us Get Started SuprSend, Notification infrastructure for Product teams home page Search... ⌘ K Ask AI Contact Us Get Started Get Started Search... Navigation Features Type Safety Documentation API Reference Management API CLI Reference Developer Resources Changelog Documentation API Reference Management API CLI Reference Developer Resources Changelog Features Type Safety OpenAI Open in ChatGPT Ensure Type Safety in Workflow Triggers with Schema-Driven Interfaces. OpenAI Open in ChatGPT Overview Type generation automatically creates strongly-typed programming language interfaces from your SuprSend JSON schemas . Instead of manually writing type definitions, you define your workflow payload structure once as a JSON schema in SuprSend, and the CLI generates type-safe interfaces for TypeScript, Python, Go, Java, Kotlin, Swift, or Dart. This ensures payloads sent to workflows always match the expected schema, catching errors at compile time instead of at runtime. Generated type files are auto-generated and should not be manually edited. Regenerate types when you update schemas in SuprSend. Why Use Type Generation? Without type generation, you work with plain objects that can lead to runtime errors. Type generation catches these errors during development with compile-time type safety and IDE autocomplete. Copy Ask AI // ❌ Without types - bug may show up only at runtime const data1 = { invoice_amount: "5000" }; const total1 = data1 . invoice_amount + 500 ; // "5000500" (string concat) // ✅ With generated types - error caught during development type OrderCreatedEventData = { invoice_amount : number ; }; const data2 : OrderCreatedEventData = { invoice_amount: "5000" }; // ^^^^^^^^^ TypeScript error: // Type 'string' is not assignable to type 'number'. You get early error detection, IDE autocomplete, immediate feedback when schemas change, and self-documenting code. Generate Types Prerequisites Before generating types, ensure you have: ✅ SuprSend CLI installed ✅ Authenticated with your workspace ✅ Created and enabled schemas for your workflows ( see guide ) Command Syntax Once you’ve completed all the prerequisites, you can generate types using the following command in CLI. It will create type definitions for all the live schemas in your workspace: Copy Ask AI suprsend generate-types < languag e > --output-file < output-fil e > [flags] Here’s an example of how to generate types in all languages: TypeScript Python Go Java Kotlin Swift Dart Copy Ask AI suprsend generate-types typescript suprsend generate-types typescript --output-file types.ts Supported Languages Language File Extension Default Output File TypeScript .ts suprsend-types.ts Python .py suprsend-types.py Go .go suprsend-types.go Java .java suprsend-types.java Kotlin .kt suprsend-types.kt Swift .swift suprsend-types.swift Dart .dart suprsend-types.dart For complete details on command arguments and flags, see the CLI Generate Types Reference . Output File Structure The output of the syntax generates a file with interfaces or definitions corresponding to all events and workflows that are linked to the schemas. So, there can’t be a mismatch between the schema mapped to the event or workflow while writing the code. All events are suffixed with Event keyword and workflows are suffixed with Workflow keyword. suprsend-types.py suprsend-types.ts suprsend-types.go suprsend-types.java Copy Ask AI from typing import Optional, List from pydantic import BaseModel class OrderCreatedEvent ( BaseModel ): order_id: str user_id: str order_amount: float currency: str payment_status: str discount_code: Optional[ str ] = None items_count: int class SendInvoiceWorkflow ( BaseModel ): invoice_id: str invoice_amount: float invoice_date: str invoice_status: str invoice_due_date: str invoice_currency: str invoice_items: List[InvoiceItem] Use Generated Types Once generated, you can import the type definitions in your workflow or event triggers to ensure type safety throughout your codebase. TypeScript Python Go Java Copy Ask AI import { Suprsend , WorkflowTriggerRequest } from "@suprsend/node-sdk" ; //Import the generated types import { SendInvoiceWorkflow , OrderCreatedEvent } from "./suprsend-types" ; const client = new Suprsend ( "workspace_key" , "workspace_secret" ); // ✅ Type-safe data creation const triggerData : SendInvoiceWorkflow = { order_id: "Order-1234" , user_id: "User-1234" , order_amount: 5000 , currency: "USD" }; const body = { workflow: "send-invoice" , recipients: [ { distinct_id: "0gxxx9f14-xxxx-23c5-1902-xxxcb6912ab09" , $email: [ " [email protected] " ], name: "recipient_1" , }, ], data: triggerData , // ✅ Type-safe }; const wf = new WorkflowTriggerRequest ( body , { tenant_id: "tenant_id" , idempotency_key: "_unique_request_identifier" , }); const response = await client . workflows . trigger ( wf ); console . log ( "response" , response ); With Pydantic models (Python), you get runtime validation. Invalid data types will raise validation errors with clear messages. Best Practices Don’t edit generated files — treat them as build artifacts and regenerate from schema changes. Regenerate on schema updates — keep types in sync with SuprSend schemas (ideally in the same PR as schema changes). Automate in CI/CD — run type generation in your pipeline and fail the build if generated output is out of date. Version your schemas — evolve payloads safely without breaking existing producers/consumers. Use types at boundaries — type the payload right before calling workflows.trigger(...) (and validate incoming webhook/event payloads). Frequently Asked Questions My generated types are outdated. What should I do? If generated types don’t match your current schemas, regenerate them using the CLI: Copy Ask AI suprsend generate-types typescript --output-file types.ts Always regenerate types after updating or committing schemas in SuprSend. Why are some fields missing in my generated types? This usually happens when: The schema is still in draft and not committed Types were not regenerated after schema changes Ensure the schema is committed and regenerate the types using the CLI. Why do I see type errors in my IDE but the code still runs? This typically means: Generated types are outdated The schema was changed in SuprSend but types weren’t regenerated You’re generating types from the wrong workspace Regenerate types and verify the --workspace flag if used. What happens if I don’t use type safety? Without type safety: Errors surface only at runtime Invalid payloads may partially process Workflow conditions and templates can break silently Debugging becomes harder across environments Should I edit the generated type files? No. Generated files should not be edited manually. Any changes will be overwritten the next time types are regenerated. Always update schemas in SuprSend and regenerate types. How often should I regenerate types? You should regenerate types whenever: A schema is added or updated A field is added, removed, or renamed A field’s datatype changes Many teams automate this in CI/CD. Can I automate type generation in CI/CD? Yes. It’s recommended to add type generation to your CI/CD pipeline to ensure schemas and application code stay in sync across environments. What does type safety mean in SuprSend workflows? Type safety ensures that the data you send when triggering workflows or events strictly matches the schema defined in SuprSend. This helps catch missing fields, wrong data types, or invalid payloads during development instead of at runtime. Why should I use type-safe workflow triggers? Type-safe triggers help prevent production bugs caused by incorrect payloads, improve developer experience with autocomplete and validation, and ensure your workflow logic always receives valid and expected data. How does SuprSend generate type-safe interfaces? SuprSend generates strongly typed interfaces directly from your JSON schemas. You define the schema once in SuprSend, and the CLI generates language-specific types (TypeScript, Python, Go, Java, Kotlin, Swift, Dart) that stay in sync with your workflows. Which languages are supported for type generation? SuprSend supports type generation for: TypeScript Python Go Java Kotlin Swift Dart Related Documentation Validate Trigger Payload - Learn about JSON schemas and how to link them to workflows or events CLI Generate Types Reference - Complete CLI command reference for generating types Was this page helpful? Yes No Suggest edits Raise issue Previous Testing the Template How to send a test notification from the template editor to your device for actual message preview. Next ⌘ I x github linkedin youtube Powered by On this page Overview Why Use Type Generation? Generate Types Prerequisites Command Syntax Supported Languages Output File Structure Use Generated Types Best Practices Frequently Asked Questions Related Documentation | 2026-01-13T08:49:32 |
https://parenting.forem.com/eli-sanderson/how-becoming-a-parent-helped-me-notice-the-small-things-i79#comments | How Becoming a Parent Helped Me Notice the Small Things - Parenting 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 Parenting 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 Eli Sanderson Posted on Nov 21, 2025 How Becoming a Parent Helped Me Notice the Small Things # celebrations # discuss # newparents I never thought I’d be the kind of person who took pictures of everything my baby did. Before I became a parent, I used to laugh when people showed me twenty nearly identical photos of their kid doing something simple—like eating peas or staring at a lamp. I’d smile politely and pretend to understand. Now I’m that person. I became that person the moment I held my son for the first time. Something in me shifted. It didn’t happen gradually. It happened all at once. His fingers curled around mine, so tiny and warm, and suddenly every second felt important. Not in a dramatic way—just in a very quiet, very tender way. I wanted to remember everything, even the things that didn’t seem special. But the funny part is: at first, I completely forgot about pictures. The first week was a blur of diapers, soft cries, and trying to figure out if I was doing anything right. I held him, fed him, changed him, rocked him, stared at him, and tried not to panic. Every time he moved, I felt a mix of love and worry so strong it made my chest ache. It wasn’t until about day eight that I realized I only had four photos of him. Four. One from the hospital. One from the car ride home. One where he yawned. And one where he poked himself in the cheek. They were fine photos, but they weren’t moments. Not really. They were just proof he existed. So one morning, while my son slept swaddled like a tiny burrito, I picked up my phone and told myself, “I’m going to start paying attention today.” I didn’t know what that meant at the time. Not really. But I stepped into the day with that quiet promise in my head. The first picture I took that day was of his hand. Just his hand resting on my shirt while I held him. His fingers were curled in a loose shape, like he was dreaming of holding something. The sunlight came through the blinds and drew little lines across his skin. I kept staring at the photo afterward, surprised by how soft it looked. That was it. That was the start. After that, the pictures changed. They weren’t rushed anymore. They weren’t “take-this-before-he-moves” photos. They were little pauses. Tiny breaths. Small pieces of a day that would pass whether I noticed them or not. I started taking pictures of the way he slept. Not just the cute sleeping positions, but the little ones—the way his bottom lip stuck out when he dreamed, the way his eyelashes rested on his cheeks like soft shadows, the way his hair curled on the side he slept on. I took pictures of his feet. His tiny socks never stayed on, and his toes curled in the funniest ways. One picture caught his foot pressed against my arm while he stretched. I had never thought feet could make me emotional, but there I was, staring at a tiny foot and feeling something warm in my throat. One morning, I held him close while rocking him, and his hand rested against my neck. I felt the warmth of it long after he fell back asleep. I took a picture of that too—not his whole face, just his hand and my shoulder. When I look at it now, I can still remember the weight of him. But the best photos were the ones that happened when I wasn’t trying. There was a day when he lifted his head for the first time during tummy time. He looked a little like a confused turtle. His eyes were huge. His forehead wrinkled. He wobbled, lifted again, wobbled again, then face-planted gently into the blanket. I didn’t take a picture of the face-plant (I was too busy making sure he was okay), but I took one of the moment right after—his expression somewhere between triumph and “Why did I do that?” Then came the day he discovered his own hands. If you’ve never watched a baby realize they have hands, it’s kind of magical. He saw them. Actually saw them. He stared. He wiggled his fingers. He looked shocked and delighted and confused all at once. I took pictures of the whole process—his eyebrows raised, his mouth opened in wonder, his small hands lit by morning sun. Those pictures are still some of my favorites. People kept telling me, “Don’t worry about taking pictures. Just be present.” And I understood what they meant, but taking pictures didn’t take me out of the moment. It brought me deeper into it. To take a picture, I had to notice things I never saw before. Tiny things. Fleeting things. Like the way his hair tuft stuck up after naps. Or the way he gripped my thumb tightly whenever he drank his bottle. Or the way his eyes tracked the ceiling fan even though it wasn’t moving. Or the way his whole body tensed before he sneezed. Or the way he smiled in his sleep—those tiny, secret smiles. I took pictures of all of it, not because I wanted to make a perfect photo album but because I didn’t want these small pieces of life to fade. As the months went on, I learned to use my phone camera better. Nothing fancy—just better angles, better light, more patience. I took fewer rushed shots. More quiet ones. I found that the best pictures came when I didn’t force anything. When I let the moment be the moment. There was a rainy afternoon when he sat in my lap and stared out the window. The raindrops streaked down the glass, and the city outside looked hazy and soft. I lifted the camera slowly and captured the side of his face—round cheek, tiny ear, the reflection of the window in his eyes. That photo still feels like a dream. Then there was the evening we sat on the floor with a pile of toys. He grabbed a soft giraffe and tried to chew on its ear. I snapped a picture of him concentrating so hard his tongue stuck out. That’s when I realized babies don’t just chew things—they study them with their whole bodies. One of the most meaningful pictures I ever took wasn’t cute at all. It was late, and he was having trouble settling. He cried hard, and I rocked him, humming softly. His face was red, his cheeks wet, his eyebrows scrunched. I took a picture—not to capture his sadness, but to remind myself that these moments mattered too. The hard nights. The tired days. The love that doesn’t stop just because everything feels heavy. Looking at that picture later reminded me that parenting isn’t just the highlight reel—it’s the whole story. I kept photographing the small things: The way he held his bottle with both hands as if it weighed a hundred pounds. The way his hair glowed orange in sunset light. The way he kicked his feet when he saw me walk into the room. The way he scrunched his nose when he tasted something new. The way he fell asleep on my chest, breathing slow and warm. Every picture felt like a tiny anchor in a sea of days that move faster than anyone tells you they will. And then one day, something happened that I wasn’t ready for. He crawled. It was slow, clumsy, and full of determination. I felt my heart lift and break at the same time. I wanted to cheer. I wanted to cry. I wanted to freeze the moment so it wouldn’t slip away. I took a picture of him lifting one knee, his face serious and focused. Then I put the camera down and let myself feel the moment fully. When I picked it up again, he was already across the room. That’s what parenting is. Moments that change everything—and happen in the blink of an eye. There was another moment when he stood while holding onto the couch. His legs shook. His fingers tightened. His face glowed with pride. I took a picture of his feet pressing into the carpet, and it made me realize how quickly he was growing. Sometimes I scroll through the photos late at night—picture after picture of small, quiet moments I would’ve forgotten. The way his hand fit inside mine. The way his eyes searched my face. The way he laughed when I blew raspberries on his belly. All the tiny things that didn’t feel tiny at all. One night, after a long day of teething and fussiness and me feeling stretched too thin, I stumbled onto a little story someone had posted that reminded me of gentleness. It helped calm my mind in a way I really needed. I saved it, and sometimes I come back to it . It reminded me that paying attention is its own kind of love. Parenting is messy. Hard. Beautiful. Exhausting. Tender. All at once. And taking pictures helped me hold onto the parts that made everything worth it. Sometimes I think the photos aren’t really for the future at all. They’re for right now. They help me pause. They help me breathe. They help me see the magic hiding in ordinary moments. Because the truth is, babies don’t stay tiny. Their fingers stretch. Their legs grow strong. Their faces change. Their voices take shape. And the world moves so quickly it’s easy to forget how much each day mattered. So I keep taking pictures. Not perfect ones. Not staged ones. Just honest ones. Pictures of moments I don’t want to forget. Moments that feel small until they’re gone. Moments that make me feel like the luckiest person in the room. Moments I’ll look back on someday and think, “Oh. This was it. This was everything.” Parenting taught me that the small things are never really small. They’re the whole world in pieces. And now, every time I pick up my camera, I feel grateful. Not for the photo itself, but for the chance to see the moment before it passes. These little moments are the ones that stay. And I’m glad I didn’t miss them. Top comments (1) 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 Jess Lee 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 24 '25 Dropdown menu Copy link Hide Thanks for the lovely post! I'll share that I will probably feel forever guilty that I have wayyyy more photos of my first kid than my second 😅 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 Eli Sanderson Follow Joined Nov 21, 2025 💎 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 Parenting — 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. 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 . Parenting © 2016 - 2026. Navigating the chaos and joy of parenting. Log in Create account | 2026-01-13T08:49:32 |
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Right menu Golf.com: Behind Closed Doors: Sleepy Hollow’s Opulent Home on the Hudson YouTube Golf YouTube Golf YouTube Golf Follow Nov 7 '25 Golf.com: Behind Closed Doors: Sleepy Hollow’s Opulent Home on the Hudson # golf # offtopic # recommendations Comments Add Comment 1 min read No Laying Up Podcast: Old Course Renovations, Weekly Recap + Jackson Koivun | NLU Pod, Ep 1087 YouTube Golf YouTube Golf YouTube Golf Follow Nov 6 '25 No Laying Up Podcast: Old Course Renovations, Weekly Recap + Jackson Koivun | NLU Pod, Ep 1087 # discuss # golf 2 reactions Comments Add Comment 1 min read Golf.com: Ross Butler cures Erin Lim Rhodes Chipping Yips | Can I Get A Tip YouTube Golf YouTube Golf YouTube Golf Follow Oct 31 '25 Golf.com: Ross Butler cures Erin Lim Rhodes Chipping Yips | Can I Get A Tip # golf # lessons # quotes Comments Add Comment 1 min read No Laying Up Podcast: The Booth Vol.23 | Trap Draw, Ep 365 YouTube Golf YouTube Golf YouTube Golf Follow Oct 31 '25 No Laying Up Podcast: The Booth Vol.23 | Trap Draw, Ep 365 # golf # recommendations Comments Add Comment 1 min read No Laying Up Podcast: Chop Session with DJ | Trap Draw, Ep 367 YouTube Golf YouTube Golf YouTube Golf Follow Oct 31 '25 No Laying Up Podcast: Chop Session with DJ | Trap Draw, Ep 367 # golf # recommendations # offtopic # betting Comments Add Comment 1 min read No Laying Up Podcast: Lava Golf, International Crown + Jack's Big Win | NLU Pod, Ep 1085 YouTube Golf YouTube Golf YouTube Golf Follow Oct 29 '25 No Laying Up Podcast: Lava Golf, International Crown + Jack's Big Win | NLU Pod, Ep 1085 # golf # recommendations Comments Add Comment 1 min read Golf.com: MLB All-Star Dexter Fowler's Ultimate Putting Tip YouTube Golf YouTube Golf YouTube Golf Follow Oct 31 '25 Golf.com: MLB All-Star Dexter Fowler's Ultimate Putting Tip # golf # lessons # recommendations Comments Add Comment 1 min read Peter Finch Golf: I challenged a HEAD PRO at HIS OWN course... (Ep. 1 – Heswall GC) YouTube Golf YouTube Golf YouTube Golf Follow Oct 25 '25 Peter Finch Golf: I challenged a HEAD PRO at HIS OWN course... (Ep. 1 – Heswall GC) # golf # betting # recommendations Comments Add Comment 1 min read Golf.com: The Heartfelt Purpose Behind the Folds of Honor Collegiate YouTube Golf YouTube Golf YouTube Golf Follow Oct 29 '25 Golf.com: The Heartfelt Purpose Behind the Folds of Honor Collegiate # golf # recommendations Comments Add Comment 1 min read No Laying Up Podcast: Weekly Recap + Se Ri Pak Deep Dive | NLU Pod, Ep 1083 YouTube Golf YouTube Golf YouTube Golf Follow Oct 20 '25 No Laying Up Podcast: Weekly Recap + Se Ri Pak Deep Dive | NLU Pod, Ep 1083 # golf # quotes Comments Add Comment 1 min read No Laying Up Podcast: Fall Events That Slap + Great Dunes | NLU Pod, Ep 1091 YouTube Golf YouTube Golf YouTube Golf Follow Nov 20 '25 No Laying Up Podcast: Fall Events That Slap + Great Dunes | NLU Pod, Ep 1091 # golf # recommendations 5 reactions Comments Add Comment 1 min read No Laying Up Podcast: The Incidents of Sergio Garcia | NLU Pod, Ep 1086 YouTube Golf YouTube Golf YouTube Golf Follow Oct 29 '25 No Laying Up Podcast: The Incidents of Sergio Garcia | NLU Pod, Ep 1086 # golf # recommendations 3 reactions Comments Add Comment 1 min read No Laying Up Podcast: The Science of Putting with Dr. Sasho MacKenzie | NLU Pod, Ep 1082 YouTube Golf YouTube Golf YouTube Golf Follow Oct 15 '25 No Laying Up Podcast: The Science of Putting with Dr. Sasho MacKenzie | NLU Pod, Ep 1082 # golf # recommendations # lessons 2 reactions Comments Add Comment 1 min read Golf.com: Golf Behind Bars: Inside America’s Most Unlikely Club YouTube Golf YouTube Golf YouTube Golf Follow Oct 16 '25 Golf.com: Golf Behind Bars: Inside America’s Most Unlikely Club # golf # lessons 2 reactions Comments 1 comment 1 min read Danny Maude: Use This Incredible Drill To Hit Every Club Longer YouTube Golf YouTube Golf YouTube Golf Follow Oct 11 '25 Danny Maude: Use This Incredible Drill To Hit Every Club Longer # golf # lessons # recommendations Comments Add Comment 1 min read No Laying Up Podcast: Chop Session with Cody | Trap Draw, Ep 361 YouTube Golf YouTube Golf YouTube Golf Follow Oct 12 '25 No Laying Up Podcast: Chop Session with Cody | Trap Draw, Ep 361 # golf # offtopic # recommendations Comments Add Comment 1 min read Peter Finch Golf: My favourite course ever. No question. YouTube Golf YouTube Golf YouTube Golf Follow Oct 10 '25 Peter Finch Golf: My favourite course ever. No question. # golf # recommendations Comments Add Comment 1 min read No Laying Up Podcast: Ryder Cup Loose Ends, Sand Valley + Weekly Recap | NLU Pod, Ep 1079 YouTube Golf YouTube Golf YouTube Golf Follow Oct 7 '25 No Laying Up Podcast: Ryder Cup Loose Ends, Sand Valley + Weekly Recap | NLU Pod, Ep 1079 # golf # recommendations Comments Add Comment 1 min read Golf.com: Golf Behind Bars: Inside America’s Most Unlikely Golf Club YouTube Golf YouTube Golf YouTube Golf Follow Oct 15 '25 Golf.com: Golf Behind Bars: Inside America’s Most Unlikely Golf Club # golf # lessons 3 reactions Comments Add Comment 1 min read Rick Shiels Golf: Our Best Golf Challenge EVER YouTube Golf YouTube Golf YouTube Golf Follow Oct 31 '25 Rick Shiels Golf: Our Best Golf Challenge EVER # discuss # golf # offtopic 2 reactions Comments 1 comment 1 min read Golf.com: The Mystery Of Bethpage Black’s Unique Warning Sign YouTube Golf YouTube Golf YouTube Golf Follow Sep 24 '25 Golf.com: The Mystery Of Bethpage Black’s Unique Warning Sign # golf 2 reactions Comments Add Comment 1 min read No Laying Up Podcast: Ryder Cup Autopsy Report with Duncan Carey and Jamie Kennedy | NLU Pod, Ep 1078 YouTube Golf YouTube Golf YouTube Golf Follow Oct 2 '25 No Laying Up Podcast: Ryder Cup Autopsy Report with Duncan Carey and Jamie Kennedy | NLU Pod, Ep 1078 # golf 2 reactions Comments Add Comment 1 min read Danny Maude: The Ridiculous Reason Why 90% of Golfers Can't Strike Their Irons & Hybrids YouTube Golf YouTube Golf YouTube Golf Follow Oct 30 '25 Danny Maude: The Ridiculous Reason Why 90% of Golfers Can't Strike Their Irons & Hybrids # golf # lessons # recommendations 1 reaction Comments Add Comment 1 min read Bryan Bros Golf: We Challenged the US Junior Champion to a Match! YouTube Golf YouTube Golf YouTube Golf Follow Sep 24 '25 Bryan Bros Golf: We Challenged the US Junior Champion to a Match! # golf # recommendations Comments Add Comment 1 min read Bryan Bros Golf: We Played With the #1 Junior Golfer in the Country YouTube Golf YouTube Golf YouTube Golf Follow Sep 24 '25 Bryan Bros Golf: We Played With the #1 Junior Golfer in the Country # golf # recommendations Comments Add Comment 1 min read loading... trending guides/resources Golf.com: Behind Closed Doors: Sleepy Hollow’s Opulent Home on the Hudson Anybody watching the Internet Invitational? No Laying Up Podcast: Old Course Renovations, Weekly Recap + Jackson Koivun | NLU Pod, Ep 1087 No Laying Up Podcast: The Booth Vol.23 | Trap Draw, Ep 365 Golf.com: The Heartfelt Purpose Behind the Folds of Honor Collegiate Golf.com: MLB All-Star Dexter Fowler's Ultimate Putting Tip Golf.com: Ross Butler cures Erin Lim Rhodes Chipping Yips | Can I Get A Tip No Laying Up Podcast: Chop Session with DJ | Trap Draw, Ep 367 Danny Maude: The Ridiculous Reason Why 90% of Golfers Can't Strike Their Irons & Hybrids Rick Shiels Golf: Our Best Golf Challenge EVER No Laying Up Podcast: Fall Events That Slap + Great Dunes | NLU Pod, Ep 1091 💎 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 Golf Forem — A community of golfers and golfing 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. 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https://www.fine.dev/blog/common-cto-startup-pitfalls#pricing | 7 Common AI Startup Pitfalls and How CTOs Can Avoid Them Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back 7 Common AI Startup Pitfalls and How CTOs Can Avoid Them Table of Contents Misjudging Data Quality Requirements Ignoring Ethical and Bias Concerns Overpromising AI Capabilities Underestimating Infrastructure Needs Lack of Clear Metrics for Success Building Everything from Scratch Overlooking Scalability How to Succeed as a Startup CTO in AI AI is transforming industries. For small startups, it's the difference between success and stagnation. But AI development is complex, especially for small teams with limited resources. Here are seven common pitfalls AI startups face and how CTOs can avoid them. 1. Misjudging Data Quality Requirements A common mistake among startups is underestimating the importance of data quality. Machine learning models thrive on clean, well-labeled data, and poor data quality can lead to incorrect conclusions and unreliable products. CTOs should establish robust data collection and cleaning processes early on, ensuring that data used in training models is accurate and relevant. Prioritize setting up validation checks and consider leveraging synthetic data to supplement small datasets when needed. 2. Ignoring Ethical and Bias Concerns Bias in AI systems can lead to flawed outcomes and reputational damage. Startups may move quickly to deploy their AI, ignoring the need to consider ethical implications and the potential biases inherent in training data. CTOs should take the lead in evaluating datasets for bias and ensuring fairness. Collaborate with data scientists to audit models regularly and be transparent about the limitations and risks associated with your AI. 3. Overpromising AI Capabilities In the excitement of innovation, it's easy to overpromise what AI can achieve. Overpromising to stakeholders or customers often results in unmet expectations, leading to frustration and loss of credibility. CTOs should manage expectations by being transparent about the limitations of current AI capabilities. Start with smaller, tangible goals and build from there, ensuring scalability once the foundational models have proven their value. 4. Underestimating Infrastructure Needs AI can be resource-intensive, requiring significant computational power and specialized hardware. Underestimating infrastructure needs can lead to bottlenecks and unexpected expenses, slowing down development. CTOs should evaluate the computational requirements early on and consider cloud-based solutions or partnerships with third-party providers to keep costs manageable without sacrificing performance. 5. Lack of Clear Metrics for Success Without clear success metrics, AI projects can drift without direction. For a startup, time and resources are scarce commodities. CTOs must define success metrics for their AI initiatives right from the beginning. Whether it's model accuracy, user engagement, or processing speed, having well-defined KPIs helps the team stay focused and enables better iteration based on measurable outcomes. 6. Building Everything from Scratch Many small AI startups fall into the trap of building all components in-house. While this might seem like the right way to maintain control, it’s often impractical and inefficient. CTOs should consider leveraging open-source tools, pre-trained models, and third-party APIs to accelerate development. For example, tools like TensorFlow, PyTorch, and existing NLP models can save time and enable the team to focus on unique value propositions instead of reinventing the wheel. 7. Overlooking Scalability Startups may initially focus on getting a minimum viable product (MVP) out, but overlooking scalability can create issues down the road. Building an AI product that works well for ten users doesn’t necessarily mean it will work for ten thousand. CTOs should keep scalability in mind when designing data pipelines, choosing infrastructure, and developing models. Cloud-based infrastructure and modular code can make scaling smoother as demand grows. How to Succeed as a Startup CTO in AI Avoiding these pitfalls is key to making AI work for your startup. Focus on data quality, avoid biases, manage expectations, and don’t try to do it all alone. Leveraging existing tools and maintaining a clear vision for scalability will help your team deliver AI products that meet market needs and grow with your users. By recognizing these challenges, CTOs can set realistic goals, align resources, and foster a culture of learning and adaptation—key ingredients to AI startup success. Interested in seeing how AI coding assistants can streamline your development process? Discover more with Fine.dev and bring efficiency to your team's AI development journey. Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:32 |
https://docs.suprsend.com/docs/web-push-quick-start | Web Push - SuprSend, Notification infrastructure for Product teams Skip to main content SuprSend, Notification infrastructure for Product teams home page Search... ⌘ K Community Trust Center Platform Status Postman Collection GETTING STARTED What is SuprSend? Quick Start Guide Overview Email SMS Whatsapp Inbox Mobile Push Web Push Slack Microsoft Teams Best Practices Plan Your Integration Go-live checklist CORE CONCEPTS Templates Users Events Workflow Notification Categories Preferences Tenants Lists Broadcast Objects Translations DLT Guidelines Whatsapp Template Guidelines WORKFLOW BUILDER Design Workflow Node List Workflow Settings Trigger Workflow Validate Trigger Payload Tenant Workflows Notification Inbox Overview Multi Tabs React Javascript (Angular, Vuejs etc) React Native Flutter (Headless) PREFERENCE CENTRE Embedded Preference Centre Javascript Angular React VENDOR INTEGRATION GUIDE Overview Email Integrations SMS Integrations Android Push Whatsapp Integrations iOS Push Chat Integrations Vendor Fallback Tenant Vendor INTEGRATIONS Webhook Connectors MONITORING & DEBUGGING Logs Audit Logs Error Guides MANAGE YOUR ACCOUNT Authentication Methods Contact Us Get Started SuprSend, Notification infrastructure for Product teams home page Search... ⌘ K Ask AI Contact Us Get Started Get Started Search... Navigation Quick Start Guide Web Push Documentation API Reference Management API CLI Reference Developer Resources Changelog Documentation API Reference Management API CLI Reference Developer Resources Changelog Quick Start Guide Web Push OpenAI Open in ChatGPT Quick start guide to set up & send Web Push notifications using SuprSend SDK in your website. OpenAI Open in ChatGPT Create SuprSend account Simply signup on SuprSend to create your account. If you already have your company account setup, ask your admin to invite you to the team. Integrate webpush in your website Integrate SuprSend Web SDK and webpush vendor in your website. Start testing in Sandbox workspace Your SuprSend account includes three default workspaces: Sandbox, Staging, and Production. You can switch between them from the top navigation bar, and create additional workspaces if needed. Sandbox Demo Workspace with pre-configured vendors for quick exploration and POC. Includes a sample workflow, a sample user with your registered email and pre-configured channels for quick testing. Limitation: Available for a trial period of 30 days. Staging Development workspace used to test notification flows before pushing it to production. You can enable Test Mode to safely test notification flows without delivering to real users. In Test Mode, notifications is delivered only to designated internal testers. You can also set up a catch-all channel to redirect all notifications intended for non-test users. Production Live workspace for syncing your actual product users and running production workflows. We do not recommend making changes directly in your production workspace as it might disrupt your live notifications. Identify user to attach push token to their profile Call this method as soon as you know the identity of user, that is after login authentication. Pass the id that you use as internal user identifier (UUID, email or numeric code). You’ll use this same id in recipient field to trigger the notification. Javascript Copy Ask AI suprsend . identify ( _distinct_id_ ); //Sample suprsend . identify ( "291XXXXX-62XX-4dXX-b2XX" ); suprsend . identify ( " [email protected] " ); Call reset to clear user data on log out Don’t forget to call reset on user logout. If not called, user id will not reset and multiple tokens and channels will get added to the user_id who logged in first on the device. Javascript Copy Ask AI suprsend . reset (); Create a workflow Workflow houses the automation logic of your notification. Each workflow starts with a trigger, processes the defined logic, and sends one or more messages to the end user. You can create a workflow from SuprSend dashboard by clicking on button on the workflows tab . To design a workflow, you need: A Trigger point - Trigger initiates the workflow. You can initiate it Using the direct workflow API , where you can include recipient channel information, preferences, and actor details directly in the trigger. By emitting an event : You can trigger these events from your frontend application or from your backend systems, depending on the use case. (note: the recipient needs to be pre-created for event-based triggers). Delivery node - Delivery Nodes represent the channels where users will receive notifications. You can use: multi-channel nodes, to send messages across multiple channels, smart channel routing , to notify users sequentially rather than bombarding them on all channels at once (though it’s generally better to use). Template in delivery node contains the content of the notification. You can add both static and dynamic content sourced from user properties or trigger payloads. We use handlebars as our Whatsapp templating language. You can add dynamic content as {{var}} . Add trigger data in the mock to get variable auto-suggestions during editing. Ensure to publish the template before using it in a workflow. Learn how to design Webpush template here. 3. Functional nodes (Optional) : These are the logic nodes in the workflow. You can use it to add delay, batch multiple notifications in a summary or add conditional branches in the workflow. Check out all workflow nodes here. Trigger the workflow You can trigger a test workflow directly from dashboard by clicking on ‘ Text ’ button in your workflow editor or “Commit” changes to trigger it from your code. We follow Git like versioning for workflow changes, so you need to commit your changes to trigger new workflow via the API. You can check all methods of triggering workflow here . To trigger a workflow, you need: Recipient : End user who would be notified in the workflow run. Recipient is uniquely identified by distinct_id within SuprSend and must have the relevant channel identity set in their profile. You can define recipient inline in case of API based trigger or create user profile first for event based trigger. Data or Event Properties : This will be used to render dynamic content in the template (added in template mock) or variables in the workflow configuration. We’ll be triggering the workflow with direct API trigger for quick testing. You can check all trigger methods here. Sample payload for API based trigger You can get workspace key, secret or API Key for trigger from Settings tab -> API Keys . Push channel will be updated in user profile as soon as you identify the user in step 4 , so you can just pass the distinct_id and data in the trigger. curl Python Node Go Java Copy Ask AI curl --request POST \ --url https://hub.suprsend.com/trigger/ \ --header 'Authorization: Bearer __api_key__' \ --header 'accept: application/json' \ --header 'content-type: application/json' \ --data ' { "workflow": "_workflow_slug_", "recipients": [ { "distinct_id": "0gxxx9f14-xxxx-23c5-1902-xxxcb6912ab09", "name":"recipient_1" } ], "data":{ "first_name": "User", "invoice_amount": "$5000", "invoice_id":"Invoice-1234" } } Check notification logs You can view the status of any sent notification under the Logs tab. Logs are organized in the following order: Requests : Captures all API/SDK requests sent to SuprSend from your backend or frontend. You can see the input payload and request response here. Executions : Workflow executions are logged here. You can click on a log entry to open the step-by-step workflow debugger Messages : All delivery nodes (including webhooks) are tracked here along with their message status (delivered, seen, clicked). Message preview for delivered notifications will also be available soon. Push to Production In SuprSend, each environment is isolated, meaning workflows, users, and vendors are configured separately in testing and production workspaces. Follow this go live checklist to setup things in production once you are done testing. Was this page helpful? Yes No Suggest edits Raise issue Previous Slack Quick set up guide to start sending notification on Slack chat via SuprSend. Next ⌘ I x github linkedin youtube Powered by On this page Create SuprSend account Integrate webpush in your website Start testing in Sandbox workspace Identify user to attach push token to their profile Call reset to clear user data on log out Create a workflow Trigger the workflow Check notification logs Push to Production | 2026-01-13T08:49:32 |
https://www.linkedin.com/company/coderabbitai#main-content | CodeRabbit | LinkedIn Skip to main content LinkedIn Top Content People Learning Jobs Games Sign in Join now for free CodeRabbit Software Development San Francisco, California 24,856 followers Cut Code Review Time & Bugs in Half. Instantly. See jobs Follow View all 117 employees Report this company Overview Jobs About us CodeRabbit is an innovative, AI-driven platform that transforms the way code reviews are done. It delivers context-aware, human-like reviews, improving code quality, reducing the time and effort required for thorough manual code reviews, and enabling teams to ship software faster. Trusted by over a thousand organizations, including The Economist, Life360, ConsumerAffairs, Hasura, and many more, to improve their code review workflow. CodeRabbit is SOC 2 Type 2, GDPR certified, and doesn't train on customer's proprietary code. Website https://coderabbit.ai External link for CodeRabbit Industry Software Development Company size 51-200 employees Headquarters San Francisco, California Type Privately Held Founded 2023 Products CodeRabbit CodeRabbit DevOps Software Ship quality code faster with CodeRabbit's AI code reviews. We offer codebase-aware line-by-line reviews with 1-click fixes to speed up your code review process. Merge PRs 50% faster with 50% fewer bugs. Locations Primary San Francisco, California, US Get directions Bengaluru, IN Get directions Employees at CodeRabbit John Demko Ashmeet Sidana Daniel Cohen Miles Mulcare See all employees Updates CodeRabbit reposted this Santosh Yadav 1d Edited Report this post Hey friends hope you had a great weekend, this week was tough for #tailwindcss as project was struggling with funding, good thing this time everyone cared and rushed in to save the project for another day. But the question remains open, is Open Source ever going to be sustainable? Cc: CodeRabbit Open Source funding was always broken Santosh Yadav on LinkedIn 39 1 Comment Like Comment Share CodeRabbit 24,856 followers 16h Report this post Rohit Khanna is going to be sharing how AI is already reshaping real engineering work, which is exactly the kind of conversation we care about at CodeRabbit! If you're in the area and available to attend, you'll not want to miss out! 🐰 Nishant Chandra 18h Edited Over the past year, I've had the same conversation with engineering leaders over and over again. AI isn't just changing how we write code. It's changing how we think about code review, how we structure teams, who we hire, and honestly, what's even worth building in the first place. But most of the conversations happening publicly? They're polished keynotes and product pitches. What's missing are the messy, honest rooms where people can actually think out loud. That's what we're trying to create with FutureLab at Newton School of Technology . The first session is happening in collaboration with The Product Folks . We're bringing together engineering leaders who are living through this shift right now, not theorizing about it. We'll start with a panel: Rohit Khanna (VP Engineering, CodeRabbit ), Rohit Nambiar (VP Engineering, Paytm ), and Aditya C. (VP Engineering, MoEngage ), moderated by Suhas Motwani (Co-founder, The Product Folks ). Then we open it up. No agenda, no script. Just people who've been in the trenches comparing notes, disagreeing, and figuring things out together. If you're actively dealing with how engineering workflows, team structures, and production realities are shifting in an AI-first world, this might be worth your time. Details and invite requests here: https://luma.com/oq62rgmn 8 Like Comment Share CodeRabbit reposted this Devario J. 17h Report this post I've been evaluating agentic code review from a few different sources (openAI, CodeRabbit etc) and so far...Im deeply in love with CodeRabbit . 11 4 Comments Like Comment Share CodeRabbit 24,856 followers 2d Report this post Letting users pick their favorite LLM feels empowering, but it destroys quality, consistency, and cost. The best UX? No model dropdown at all. Here’s why that choice should belong to evaluation, not preference. 👇 https://lnkd.in/ehCzRD5n 14 Like Comment Share CodeRabbit 24,856 followers 3d Report this post Ranking every PR we've ever reviewed 36 4 Comments Like Comment Share CodeRabbit reposted this Nithin K. 4d Report this post When the CEO of the world's most valuable tech company makes a statement like this, you pay attention. This isn't just an endorsement. It's a signal. “We are using CodeRabbit all over NVIDIA!” - Jensen at CES 2026 Michael Fox Mayur Gandhi Rohit Khanna Sahil M Bansal Ritvi Mishra Aravind Putrevu Lewis Mbae Sohum Tanksali Daniel Cohen David Loker Geetika Mehndiratta Hendrik Krack Erik Thorelli #AI #SoftwareDevelopment #CodeReview #NVIDIA #EngineeringExcellence #DevTools 75 3 Comments Like Comment Share CodeRabbit reposted this Amanda Saunders 5d Edited Report this post Big milestone for open AI in production. CodeRabbit just announced support for NVIDIA Nemotron in their AI code review platform. Real open-source models. Real developer workflows. Real production impact. By integrating Nemotron, CodeRabbit is giving teams more flexibility, better cost control, and strong reasoning performance without being locked into a single proprietary model. It’s a great example of how open models are moving beyond research and into day-to-day engineering tools. The future of AI isn’t one giant model. It’s specialized systems, powered by open models, running where and how developers choose. 👏 Huge shoutout to the CodeRabbit team for pushing open AI forward. Read more: https://lnkd.in/eXrbMRVi #agenticAI #AIinAction #opensourceAI …more 77 1 Comment Like Comment Share CodeRabbit 24,856 followers 5d Edited Report this post Mastra ships a mission-critical TypeScript agent framework used by companies like SoftBank and Adobe. For their 1.0 release, they had: > A fast-moving codebase > Zero room for breaking changes. Problem: Moving that fast without a reliable code review tool meant that bugs could slip through. Before CodeRabbit they tried multiple AI review tools and struggled to trust them! But now they have: > 70–85% of comments accepted > 0 follow‐up PRs > A clear baseline for what “review ready” means. Read more below 👇 https://lnkd.in/evwEasyZ 11 Like Comment Share CodeRabbit reposted this Harjot Gill 6d Report this post “We are using CodeRabbit all over NVIDIA!” - Jensen at CES 2026 NVIDIA AI 1,564,692 followers 6d 🤯 100% of NVIDIA engineers code with AI—and they’re checking in 3x more code than before. At that scale, human-only code review can’t keep up. CodeRabbit review agents use models like Claude and GPT with NVIDIA Nemotron to: ✅ Pull context from code, docs, project trackers, and more ✅ Use Nemotron’s long context and reasoning to summarize ✅ …so that frontier models can flag issues and suggest fixes in minutes, not days. Join us today at 11 AM PT to see an end-to-end demo and bring your Qs: https://nvda.ws/4aN0sNi 🤗 Get Nemotron Nano 3: https://nvda.ws/4qKwJJz 159 22 Comments Like Comment Share CodeRabbit reposted this NVIDIA AI 1,564,692 followers 6d Report this post 🤯 100% of NVIDIA engineers code with AI—and they’re checking in 3x more code than before. At that scale, human-only code review can’t keep up. CodeRabbit review agents use models like Claude and GPT with NVIDIA Nemotron to: ✅ Pull context from code, docs, project trackers, and more ✅ Use Nemotron’s long context and reasoning to summarize ✅ …so that frontier models can flag issues and suggest fixes in minutes, not days. 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https://docs.suprsend.com/docs/developer/versioning/sdk-changelog | SDK Changelog - SuprSend, Notification infrastructure for Product teams Skip to main content SuprSend, Notification infrastructure for Product teams home page Search... ⌘ K Community Trust Center Platform Status Postman Collection Developer Resources Overview Updates and Versioning Versioning and Support Policy SDK Changelog Authentication API Keys and Secrets Service Token Best Practices for Key & Token Management MCP Overview BETA Quickstart Tool List Building with LLMs Security Security SDKs and APIs SDKs Management API REST API Postman Collection Features Validate Trigger Payload Type Safety Testing Testing the Template Test Mode Monitoring and Logging Logs Data Out Contact Us Get Started SuprSend, Notification infrastructure for Product teams home page Search... ⌘ K Ask AI Contact Us Get Started Get Started Search... Navigation Updates and Versioning SDK Changelog Documentation API Reference Management API CLI Reference Developer Resources Changelog Documentation API Reference Management API CLI Reference Developer Resources Changelog Updates and Versioning SDK Changelog OpenAI Open in ChatGPT Complete release history for all SuprSend SDKs with detailed release notes, features, fixes, and breaking changes. OpenAI Open in ChatGPT The SuprSend SDK Changelog provides a comprehensive record of all SDK releases, including new features, bug fixes, breaking changes, and security updates across all supported platforms. Release History Server-side SDKs Client-side SDKs Python SDK - v0.15.0 Repository: suprsend-py-sdk Latest Release: v0.15.0 v0.15.0 Aug 30, 2025 Changes: v2 APIs and response fixes v0.14.0 Apr 12, 2025 Changes: Removed cap of 100 from workflow recipients v0.13.0 Feb 26, 2025 Features: User APIs v0.12.0 Nov 4, 2024 Changes: Updated README and renamed $pushvendor to $id_provider Objects implementation methods v0.11.0 Apr 18, 2024 Features: Added support for user’s timezone Added support for workflow trigger API v0.11.0-pre Apr 16, 2024 Features: Workflow trigger API v0.10.0 Jan 29, 2024 Features: Added tenants API v0.9.0 Oct 31, 2023 Features: Added set/setonce/increment method to update subscriber properties v0.8.0 Oct 16, 2023 Features: Added support for Microsoft Teams v0.7.0 Sep 14, 2023 Changes: Increased idempotency key length to 255 v0.6.0 Feb 27, 2023 Features: Support for all outbound Slack messages v0.6.0-pre Feb 27, 2023 Features: Support for all outbound Slack messages v0.5.2 Jan 6, 2023 Features: Support dynamic workflow for transient users v0.5.1-pre Dec 26, 2022 Features: Subscribers List and broadcast APIs v0.5.0 Dec 10, 2022 Features: User operation events v2 schema Faster jsonschema validation for workflows and events v0.4.2-alpha Oct 21, 2022 Features: Expose APIs to add/update/retrieve organization brands v0.4.1 Oct 19, 2022 Features: Support for attachments using URL v0.4.0 Oct 10, 2022 Features: Added user.set_preferred_language() method to enable multi-lingual notifications based on user’s preference v0.3.0 Sep 29, 2022 Features: Support for idempotency-key in workflow and event v0.2.1 Sep 21, 2022 Changes: Minor fixes v0.2.0 Sep 21, 2022 Changes: Terminology changed from Batch to Bulk v0.1.5 Sep 5, 2022 Features: Workflow now supports User channel preference Workflow now supports push tokens with provider v0.1.4 Sep 3, 2022 Features: Batch support for Events, Workflows and Users v0.1.3 Jul 24, 2022 Changes: Updated mandatory channels list in Dynamic workflow trigger v0.1.2 Jul 6, 2022 Features: Added user methods: add_slack_email , add_slack_userid , remove_slack_email , remove_slack_userid v0.1.1 Apr 30, 2022 Initial Release v0.1.0 Apr 28, 2022 Initial Release v0.1.0-pre Apr 13, 2022 Pre-release v0.0.15 Apr 13, 2022 Initial Release Node.js SDK - v1.13.1 Repository: suprsend-node-sdk Latest Release: v1.13.1 v1.13.1 2 weeks ago Bugfix: Fixed error naming issue in users API v1.13.0 May 21, 2025 Changes: Added user APIs Removed validation for user channel methods Request payload size changes v1.12.0 Jan 30, 2025 Features: Object improvement and user methods support v1.11.1 Jan 18, 2025 Bugfix: Added defaults for optional method parameters in objects v1.11.0 Nov 4, 2024 Changes: Updated README Added object implementation methods v1.10.0 May 1, 2024 Features: Added new workflow API Timezone set method in user methods v1.9.1 Mar 13, 2024 Changes: Added preferred_language in workflow schema v1.9.0 Jan 10, 2024 Features: Added tenant APIs Microsoft Teams channel added Syncing list by version methods added User methods: set, set_once, increment added v1.8.2 Nov 9, 2023 Fixes: Fixed GitHub dependabot issues v1.8.1 Jun 13, 2023 Changes: Increased idempotency_key length v1.8.0 Apr 22, 2023 Features: Error handling in bulk API v1.7.1 Mar 31, 2023 Fixes: Fixed error logging related issue in bulk APIs v1.7.0 Mar 16, 2023 Fixes: Fixed dependabot vulnerabilities in json5 and minimatch packages v1.6.0 Mar 2, 2023 Features: Added add_slack , remove_slack methods Deprecated add_slack_email , remove_slack_email , add_slack_userid , remove_slack_userid Workflow.json file minor changes v1.5.1 Feb 20, 2023 Changes: Made config flag optional while initializing SuprSend instance v1.5.0 Feb 16, 2023 Features: Added types in this SDK for TypeScript support v1.4.0 Jan 12, 2023 Features: Broadcast method added List object naming change v1.3.0 Dec 30, 2022 Features: User operations implementation v1.2.0 Dec 24, 2022 Features: Added list API methods v1.1.2 Dec 19, 2022 Features: Added brands API v1.1.1 Oct 23, 2022 Changes: Updated README Implementation of user language preference method v1.1.0 Oct 20, 2022 Features: Implementing remote file URL as attachment v1.0.0 Sep 30, 2022 Features: Bulk APIs implementation for users, events, and workflows Adding an idempotency_key in the event and workflow to ignore duplicate requests v0.1.1 Jul 2, 2022 Changes: Updated axios and babel-core packages versions v0.1.0 May 3, 2022 Features: Send Track events and set user channels through SDK Implemented Success Metrics v0.0.6 May 3, 2022 Features: Initialize SuprSend SDK Create Dynamic Workflows Java SDK - v0.12.0 Repository: suprsend-java-sdk Latest Release: v0.12.0 v0.12.0 Aug 30, 2025 Features: v2 APIs response structure v0.11.0 Jul 5, 2025 Features: HTTP proxy implementation v0.10.0 May 22, 2025 Changes: Changed payload size limit to 800KB v0.9.0 Feb 1, 2025 Features: Added all user APIs v0.8.0 Jan 24, 2025 Features: Added objects implementation methods v0.7.2 Jan 21, 2025 Changes: Upgraded dependencies v0.7.1 Nov 8, 2024 Changes: Renamed $pushvendor to $id_provider Removed regex validation from JSON schema v0.7.0 May 5, 2024 Features: Added API to trigger workflow via slug v0.6.0 Jan 29, 2024 Features: Added subscriber properties List versioning Microsoft Teams support v0.5.0 Mar 6, 2023 Features: Bulk Event, Subscriber & Workflow Support List Support & Broadcast Support v0.4.0 Sep 29, 2022 Features: Added support for idempotency key Accept idempotencyKey as part of event and workflow v0.3.0 May 29, 2022 Changes: Refactored codebase Java 8 compatibility Go SDK - v0.8.0 Repository: suprsend-go Latest Release: v0.8.0 v0.8.0 Sep 1, 2025 Features: Added TikTok and X social links to Brand and Tenant structures Updated response as per event.v2 API & workflow schema v0.7.0 Jul 23, 2025 Features: Added proxy support Added Preferences API methods v0.6.0 May 10, 2025 Changes: Updated README and renamed $pushvendor to $id_provider Bumped golang.org/x/net dependencies Added object and user API methods v0.5.1 Apr 18, 2024 Fixes: Git tag issue with v0.5.0 v0.5.0 Apr 18, 2024 Features: Added support for user’s timezone Added support for workflow trigger API v0.5.0-pre Apr 16, 2024 Features: Workflow trigger API v0.4.0 Jan 28, 2024 Features: Added tenants API List versioning Microsoft Teams support v0.3.1 Oct 12, 2023 Security: Upgraded go/net package as part of security fix v0.3.0 Mar 8, 2023 Features: Include all new features v0.2.0 Jan 6, 2023 Features: Support for transient users in Dynamic workflow v0.1.0 Nov 16, 2022 Features: Added basic README and examples JavaScript SDK - v4.0.3 Repository: suprsend-web-sdk Latest Release: v4.0.3 v4.0.3 11 hours ago Bugfix: Socket connection authentication failed issue after refresh v4.0.2 2 weeks ago Changes: Socket.io connection config changes to support offline mode v4.0.1 Jul 28, 2025 Features: WebPush token update optimization v4.0.0 Jul 24, 2025 Bugfix: Pagination issue while archiving notification v3.1.0 May 24, 2025 Changes: Documentation service worker link version change Added preferences tags v3.0.3 Apr 22, 2025 Changes: Updated documentation Bugfix: Fixed host undefined issue in service worker file v3.0.2 Jan 8, 2025 Changes: Added documentation for in-app feed v3.0.1 Jan 7, 2025 Features: Support for feed v2.0.1 Sep 10, 2024 Changes: Revamp: v2 version of web SDK React SDK - v0.3.2 Repository: suprsend-react-sdk Latest Release: v0.3.2 v0.3.2 11 hours ago Bugfix: Socket connection authentication failed issue after refresh v0.3.1 2 weeks ago Changes: Version updated and Socket.io connection config changes v0.3.0 Aug 19, 2025 Features: Shadow DOM support and custom infinite scroll component v0.2.1 Jul 28, 2025 Features: WebPush add token optimization v0.2.0 Jul 24, 2025 Bugfix: Archive pagination bug fix v0.1.3 May 24, 2025 Changes: Updated @suprsend/react-core version v0.1.2 May 15, 2025 Bugfix: Markdown ESM issue fix v0.1.1 Apr 17, 2025 Changes: Updated core-sdk version v0.1.0 Apr 17, 2025 Features: Language support v0.0.7 Mar 18, 2025 Features: Added disable markdown flag v0.0.6 Feb 18, 2025 Bugfix: Fixed typedef bug related to children v0.0.5 Feb 3, 2025 Bugfix: Scrolling issue in macOS and always show action menu icon in mobile v0.0.4 Jan 16, 2025 Bugfix: Action menu overflow issue fixed v0.0.3 Jan 11, 2025 Bugfix: Improved docs and fixed null case issue of notification card v0.0.2 Jan 8, 2025 Changes: Added documentation Android SDK - 0.1.8 Repository: suprsend-android-sdk Latest Release: 0.1.8 0.1.8 Sep 4, 2022 Bugfix: Notification - Small Icon & Action Icon support If icon does not exist in drawable folder then notification was not getting shown 0.1.4 Jun 17, 2022 Changes: Removed cached flag and added check to verify app launch 0.1Beta9 Apr 24, 2022 Changes: Minor fixes iOS SDK - 1.0.7 Repository: SuprSend-iOS-SDK Latest Release: 1.0.7 1.0.7 Mar 11, 2025 Changes: Link SQLite library 1.0.6 Mar 11, 2025 Changes: Remove bitcode from SuprsendCore 1.0.4 Mar 11, 2025 Changes: Bump pod version 1.0.3 Aug 13, 2024 Features: iOS APNS push delivery status improvements 1.0.2 Feb 4, 2023 Changes: SuprSend SDK changes for unsubscribe push notifications on reset React Native SDK - v2.5.0 Repository: suprsend-rn-sdk Latest Release: v2.5.0 v2.5.0 Mar 13, 2025 Changes: Upgraded native iOS SDK to fix bitcode issue v2.4.0 Sep 3, 2024 Changes: Fixed GitHub dependabot issues Updated iOS native version to fix APNS delivery issue v2.3.1 Sep 25, 2023 Fixes: Fixed GitHub dependabot issues v2.3.0 Mar 21, 2023 Fixes: Fixed GitHub Dependabot vulnerabilities in dependencies v2.2.0 Mar 13, 2023 Changes: Updated Android SDK version to enable sound customization in FCM push v2.1.0 Feb 9, 2023 Features: Added unsubscribe push flag in reset method v2.0.2 Jan 6, 2023 Features: Added enableLogging method Deprecated setLogLevel method v2.0.1 Jan 4, 2023 Bugfix: Reset bugfix in iOS v2.0.0 Dec 29, 2022 Features: Upgraded Android native SDK version Method to ask notification permission for Android version >= 13 Reset method now takes a parameter to remove push tokens on logout v1.0.0 Sep 28, 2022 Changes: Upgraded native iOS SDK version v0.4.3 Sep 17, 2022 Fixes: Fixed track method issue in Android iOS deployment version upgraded to 11 in podspec for iOS v0.4.2 Sep 6, 2022 Changes: Upgraded native Android version v0.4.1 Aug 31, 2022 Changes: Updated native Android version v0.4.0 May 20, 2022 Features: iOS implementation in React Native iOS Push notifications implemented v0.3.14 May 20, 2022 Features: Initial stable release with only Android implementation in this React Native project Flutter SDK - v2.5.0 Repository: suprsend-flutter-sdk Latest Release: v2.5.0 v2.5.0 Jun 7, 2025 Changes: Upgraded native SuprSend Android SDK version v2.4.0 May 10, 2025 Changes: Added namespace changes and removed ask notification permission method v2.3.1 Mar 11, 2025 Bugfix: Upgraded iOS SDK version to fix bitcode v2.3.0 Mar 11, 2025 Changes: Upgraded version of native iOS SDK v2.2.0 Aug 14, 2024 Changes: Fixed iOS delivery issue v2.1.1 Nov 30, 2023 Changes: Native Android SDK version updated Removed debug logs in Android on identify v2.1.0 Feb 9, 2023 Features: Added unsubscribePush flag in reset method v2.0.1 Jan 24, 2023 Changes: Downgraded minimum Dart SDK version to 2.15.0 from 2.16.0 v2.0.0 Jan 6, 2023 Features: Updated native Android version Reset method now accepts unsubscribe_push flag Added permission method to ask for user permission to show notifications for Android 13 v1.0.0 Nov 4, 2022 Changes: Upgraded native iOS SDK version to 1.0.1 Migration Guides For detailed migration instructions between major versions, please refer to our SDK Migration Guide . Support If you encounter any issues during migration or have questions about specific releases, please contact our support team at [email protected] Was this page helpful? Yes No Suggest edits Raise issue Previous API Keys and Secrets Learn the different authentication methods available in SuprSend and how to securely integrate them into your application. Next ⌘ I x github linkedin youtube Powered by On this page Release History Migration Guides Support | 2026-01-13T08:49:32 |
https://www.linkedin.com/company/coderabbitai?trk=organization_guest_main-feed-card_reshare-text | CodeRabbit | LinkedIn Skip to main content LinkedIn Top Content People Learning Jobs Games Sign in Join for free CodeRabbit Software Development San Francisco, California 24,856 followers Cut Code Review Time & Bugs in Half. Instantly. See jobs Follow Discover all 117 employees Report this company Overview Jobs About us CodeRabbit is an innovative, AI-driven platform that transforms the way code reviews are done. It delivers context-aware, human-like reviews, improving code quality, reducing the time and effort required for thorough manual code reviews, and enabling teams to ship software faster. Trusted by over a thousand organizations, including The Economist, Life360, ConsumerAffairs, Hasura, and many more, to improve their code review workflow. CodeRabbit is SOC 2 Type 2, GDPR certified, and doesn't train on customer's proprietary code. Website https://coderabbit.ai External link for CodeRabbit Industry Software Development Company size 51-200 employees Headquarters San Francisco, California Type Privately Held Founded 2023 Products CodeRabbit CodeRabbit DevOps Software Ship quality code faster with CodeRabbit's AI code reviews. We offer codebase-aware line-by-line reviews with 1-click fixes to speed up your code review process. Merge PRs 50% faster with 50% fewer bugs. Locations Primary San Francisco, California, US Get directions Bengaluru, IN Get directions Employees at CodeRabbit John Demko Ashmeet Sidana Daniel Cohen Miles Mulcare See all employees Updates CodeRabbit reposted this Santosh Yadav 1d Edited Report this post Hey friends hope you had a great weekend, this week was tough for #tailwindcss as project was struggling with funding, good thing this time everyone cared and rushed in to save the project for another day. But the question remains open, is Open Source ever going to be sustainable? Cc: CodeRabbit Open Source funding was always broken Santosh Yadav on LinkedIn 39 1 Comment Like Comment Share CodeRabbit 24,856 followers 16h Report this post Rohit Khanna is going to be sharing how AI is already reshaping real engineering work, which is exactly the kind of conversation we care about at CodeRabbit! If you're in the area and available to attend, you'll not want to miss out! 🐰 Nishant Chandra 18h Edited Over the past year, I've had the same conversation with engineering leaders over and over again. AI isn't just changing how we write code. It's changing how we think about code review, how we structure teams, who we hire, and honestly, what's even worth building in the first place. But most of the conversations happening publicly? They're polished keynotes and product pitches. What's missing are the messy, honest rooms where people can actually think out loud. That's what we're trying to create with FutureLab at Newton School of Technology . The first session is happening in collaboration with The Product Folks . We're bringing together engineering leaders who are living through this shift right now, not theorizing about it. We'll start with a panel: Rohit Khanna (VP Engineering, CodeRabbit ), Rohit Nambiar (VP Engineering, Paytm ), and Aditya C. (VP Engineering, MoEngage ), moderated by Suhas Motwani (Co-founder, The Product Folks ). Then we open it up. No agenda, no script. Just people who've been in the trenches comparing notes, disagreeing, and figuring things out together. If you're actively dealing with how engineering workflows, team structures, and production realities are shifting in an AI-first world, this might be worth your time. Details and invite requests here: https://luma.com/oq62rgmn 8 Like Comment Share CodeRabbit reposted this Devario J. 17h Report this post I've been evaluating agentic code review from a few different sources (openAI, CodeRabbit etc) and so far...Im deeply in love with CodeRabbit . 11 4 Comments Like Comment Share CodeRabbit 24,856 followers 2d Report this post Letting users pick their favorite LLM feels empowering, but it destroys quality, consistency, and cost. The best UX? No model dropdown at all. Here’s why that choice should belong to evaluation, not preference. 👇 https://lnkd.in/ehCzRD5n 14 Like Comment Share CodeRabbit 24,856 followers 3d Report this post Ranking every PR we've ever reviewed 36 4 Comments Like Comment Share CodeRabbit reposted this Nithin K. 4d Report this post When the CEO of the world's most valuable tech company makes a statement like this, you pay attention. This isn't just an endorsement. It's a signal. “We are using CodeRabbit all over NVIDIA!” - Jensen at CES 2026 Michael Fox Mayur Gandhi Rohit Khanna Sahil M Bansal Ritvi Mishra Aravind Putrevu Lewis Mbae Sohum Tanksali Daniel Cohen David Loker Geetika Mehndiratta Hendrik Krack Erik Thorelli #AI #SoftwareDevelopment #CodeReview #NVIDIA #EngineeringExcellence #DevTools 75 3 Comments Like Comment Share CodeRabbit reposted this Amanda Saunders 5d Edited Report this post Big milestone for open AI in production. CodeRabbit just announced support for NVIDIA Nemotron in their AI code review platform. Real open-source models. Real developer workflows. Real production impact. By integrating Nemotron, CodeRabbit is giving teams more flexibility, better cost control, and strong reasoning performance without being locked into a single proprietary model. It’s a great example of how open models are moving beyond research and into day-to-day engineering tools. The future of AI isn’t one giant model. It’s specialized systems, powered by open models, running where and how developers choose. 👏 Huge shoutout to the CodeRabbit team for pushing open AI forward. Read more: https://lnkd.in/eXrbMRVi #agenticAI #AIinAction #opensourceAI …more 77 1 Comment Like Comment Share CodeRabbit 24,856 followers 5d Edited Report this post Mastra ships a mission-critical TypeScript agent framework used by companies like SoftBank and Adobe. For their 1.0 release, they had: > A fast-moving codebase > Zero room for breaking changes. Problem: Moving that fast without a reliable code review tool meant that bugs could slip through. Before CodeRabbit they tried multiple AI review tools and struggled to trust them! But now they have: > 70–85% of comments accepted > 0 follow‐up PRs > A clear baseline for what “review ready” means. Read more below 👇 https://lnkd.in/evwEasyZ 11 Like Comment Share CodeRabbit reposted this Harjot Gill 6d Report this post “We are using CodeRabbit all over NVIDIA!” - Jensen at CES 2026 NVIDIA AI 1,564,692 followers 6d 🤯 100% of NVIDIA engineers code with AI—and they’re checking in 3x more code than before. At that scale, human-only code review can’t keep up. CodeRabbit review agents use models like Claude and GPT with NVIDIA Nemotron to: ✅ Pull context from code, docs, project trackers, and more ✅ Use Nemotron’s long context and reasoning to summarize ✅ …so that frontier models can flag issues and suggest fixes in minutes, not days. Join us today at 11 AM PT to see an end-to-end demo and bring your Qs: https://nvda.ws/4aN0sNi 🤗 Get Nemotron Nano 3: https://nvda.ws/4qKwJJz 159 22 Comments Like Comment Share CodeRabbit reposted this NVIDIA AI 1,564,692 followers 6d Report this post 🤯 100% of NVIDIA engineers code with AI—and they’re checking in 3x more code than before. At that scale, human-only code review can’t keep up. CodeRabbit review agents use models like Claude and GPT with NVIDIA Nemotron to: ✅ Pull context from code, docs, project trackers, and more ✅ Use Nemotron’s long context and reasoning to summarize ✅ …so that frontier models can flag issues and suggest fixes in minutes, not days. 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https://dev.to/t/interview/page/6#main-content | Interview 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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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 # interview Follow Hide Create Post Older #interview posts 3 4 5 6 7 8 9 10 11 Posts Left menu 👋 Sign in for the ability to sort posts by relevant , latest , or top . Right menu The best Google coding interview platform Stack Overflowed Stack Overflowed Stack Overflowed Follow Dec 8 '25 The best Google coding interview platform # webdev # programming # google # interview 2 reactions Comments Add Comment 4 min read Week 2 Scripting Challenge: Caesarian Cipher fosres fosres fosres Follow Dec 25 '25 Week 2 Scripting Challenge: Caesarian Cipher # python # security # tutorial # interview Comments Add Comment 6 min read Coding Challenge Practice - Question 63 Bukunmi Odugbesan Bukunmi Odugbesan Bukunmi Odugbesan Follow Nov 22 '25 Coding Challenge Practice - Question 63 # challenge # algorithms # javascript # interview Comments Add Comment 1 min read How to prepare for a Coding/Technical Interview Swarnali Roy Swarnali Roy Swarnali Roy Follow Dec 24 '25 How to prepare for a Coding/Technical Interview # coding # interview # beginners # developers 1 reaction Comments Add Comment 4 min read HTML Interview Questions With Answers Vidya Vidya Vidya Follow Nov 21 '25 HTML Interview Questions With Answers # interview # html # beginners # career 2 reactions Comments Add Comment 2 min read Next Permutation — Intuition, Explanation, and Clean Implementation we_are_broken_compilers we_are_broken_compilers we_are_broken_compilers Follow Dec 11 '25 Next Permutation — Intuition, Explanation, and Clean Implementation # algorithms # interview # datastructures # beginners 2 reactions Comments Add Comment 3 min read AWS Migration & Modernization Interview Cheat Sheet Data Tech Bridge Data Tech Bridge Data Tech Bridge Follow Dec 24 '25 AWS Migration & Modernization Interview Cheat Sheet # architecture # aws # interview Comments Add Comment 30 min read After failing 37 interviews, I built the interview prep tool I wish I had Ilyas Seisov Ilyas Seisov Ilyas Seisov Follow Dec 23 '25 After failing 37 interviews, I built the interview prep tool I wish I had # webdev # interview # learning # beginners 3 reactions Comments Add Comment 3 min read System Design Interview Tip No One Talks About Ayusch Ayusch Ayusch Follow Nov 19 '25 System Design Interview Tip No One Talks About # systemdesign # programming # softwaredevelopment # interview Comments Add Comment 3 min read A Senior Developer Challenge Liquidcode Liquidcode Liquidcode Follow Nov 20 '25 A Senior Developer Challenge # challenge # coding # interview # softwaredevelopment 31 reactions Comments Add Comment 3 min read What Is the Difference Between AssignMessage vs ExtractVariables in Apigee ? realNameHidden realNameHidden realNameHidden Follow Nov 20 '25 What Is the Difference Between AssignMessage vs ExtractVariables in Apigee ? # apigee # interview # api # management 5 reactions Comments Add Comment 3 min read Autocomplete/Typeahead System Design [Frontend Focused] Arghya Majumder Arghya Majumder Arghya Majumder Follow Dec 23 '25 Autocomplete/Typeahead System Design [Frontend Focused] # systemdesign # frontend # interview # performance Comments Add Comment 37 min read React Coding Challenge : Meeting Calendar ZeeshanAli-0704 ZeeshanAli-0704 ZeeshanAli-0704 Follow Dec 22 '25 React Coding Challenge : Meeting Calendar # webdev # interview # react 1 reaction Comments Add Comment 6 min read Top Promise-Based Interview Coding Questions Rahul Sharma Rahul Sharma Rahul Sharma Follow Nov 17 '25 Top Promise-Based Interview Coding Questions # challenge # javascript # interview # webdev Comments Add Comment 2 min read 🚀 Introducing LeetIndex: A Clean, Fast Way to Explore Coding Problems Kaustubh Trivedi Kaustubh Trivedi Kaustubh Trivedi Follow Nov 17 '25 🚀 Introducing LeetIndex: A Clean, Fast Way to Explore Coding Problems # showdev # interview # tooling # leetcode Comments 1 comment 2 min read Coding Challenge Practice - Question 57 Bukunmi Odugbesan Bukunmi Odugbesan Bukunmi Odugbesan Follow Nov 16 '25 Coding Challenge Practice - Question 57 # interview # javascript # tutorial Comments Add Comment 1 min read Top 30 React Interview Questions and Answers in 2025 Mahdar Mahdar Mahdar Follow Nov 30 '25 Top 30 React Interview Questions and Answers in 2025 # architecture # interview # react Comments Add Comment 14 min read 15 Django Questions Every Developer Should Answer in Their Sleep sizan mahmud0 sizan mahmud0 sizan mahmud0 Follow Nov 15 '25 15 Django Questions Every Developer Should Answer in Their Sleep # webdev # django # interview # programming 1 reaction Comments Add Comment 7 min read JavaFX In Action #23 with Craig Raw about the Sparrow Bitcoin Wallet Frank Delporte Frank Delporte Frank Delporte Follow Nov 20 '25 JavaFX In Action #23 with Craig Raw about the Sparrow Bitcoin Wallet # java # javafx # interview # bitcoin Comments Add Comment 2 min read 1513. Number of Substrings With Only 1s tomato tomato tomato Follow Dec 21 '25 1513. Number of Substrings With Only 1s # algorithms # coding # interview # leetcode Comments Add Comment 1 min read Coding Challenge Practice - Question 56 Bukunmi Odugbesan Bukunmi Odugbesan Bukunmi Odugbesan Follow Nov 15 '25 Coding Challenge Practice - Question 56 # algorithms # javascript # beginners # interview Comments Add Comment 1 min read SQL Interview Prep: Last-Minute Brushup for Experienced Professionals Data Tech Bridge Data Tech Bridge Data Tech Bridge Follow Dec 18 '25 SQL Interview Prep: Last-Minute Brushup for Experienced Professionals # career # interview # sql Comments 1 comment 13 min read Port Numbers Quiz Week 1 -- Ports Every Security Engineer Should Know fosres fosres fosres Follow Dec 17 '25 Port Numbers Quiz Week 1 -- Ports Every Security Engineer Should Know # security # networking # interview # career Comments Add Comment 15 min read 10 Best AI Interview Helpers for 2026 Hadil Ben Abdallah Hadil Ben Abdallah Hadil Ben Abdallah Follow for Final Round AI Dec 18 '25 10 Best AI Interview Helpers for 2026 # programming # ai # interview # career 98 reactions Comments 22 comments 9 min read Spring vs Spring Boot: What Are the Main Differences Every Java Developer Should Know? realNameHidden realNameHidden realNameHidden Follow Dec 17 '25 Spring vs Spring Boot: What Are the Main Differences Every Java Developer Should Know? # java # spring # springboot # interview 6 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 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://www.fine.dev/blog/common-cto-startup-pitfalls#4-underestimating-infrastructure-needs | 7 Common AI Startup Pitfalls and How CTOs Can Avoid Them Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back 7 Common AI Startup Pitfalls and How CTOs Can Avoid Them Table of Contents Misjudging Data Quality Requirements Ignoring Ethical and Bias Concerns Overpromising AI Capabilities Underestimating Infrastructure Needs Lack of Clear Metrics for Success Building Everything from Scratch Overlooking Scalability How to Succeed as a Startup CTO in AI AI is transforming industries. For small startups, it's the difference between success and stagnation. But AI development is complex, especially for small teams with limited resources. Here are seven common pitfalls AI startups face and how CTOs can avoid them. 1. Misjudging Data Quality Requirements A common mistake among startups is underestimating the importance of data quality. Machine learning models thrive on clean, well-labeled data, and poor data quality can lead to incorrect conclusions and unreliable products. CTOs should establish robust data collection and cleaning processes early on, ensuring that data used in training models is accurate and relevant. Prioritize setting up validation checks and consider leveraging synthetic data to supplement small datasets when needed. 2. Ignoring Ethical and Bias Concerns Bias in AI systems can lead to flawed outcomes and reputational damage. Startups may move quickly to deploy their AI, ignoring the need to consider ethical implications and the potential biases inherent in training data. CTOs should take the lead in evaluating datasets for bias and ensuring fairness. Collaborate with data scientists to audit models regularly and be transparent about the limitations and risks associated with your AI. 3. Overpromising AI Capabilities In the excitement of innovation, it's easy to overpromise what AI can achieve. Overpromising to stakeholders or customers often results in unmet expectations, leading to frustration and loss of credibility. CTOs should manage expectations by being transparent about the limitations of current AI capabilities. Start with smaller, tangible goals and build from there, ensuring scalability once the foundational models have proven their value. 4. Underestimating Infrastructure Needs AI can be resource-intensive, requiring significant computational power and specialized hardware. Underestimating infrastructure needs can lead to bottlenecks and unexpected expenses, slowing down development. CTOs should evaluate the computational requirements early on and consider cloud-based solutions or partnerships with third-party providers to keep costs manageable without sacrificing performance. 5. Lack of Clear Metrics for Success Without clear success metrics, AI projects can drift without direction. For a startup, time and resources are scarce commodities. CTOs must define success metrics for their AI initiatives right from the beginning. Whether it's model accuracy, user engagement, or processing speed, having well-defined KPIs helps the team stay focused and enables better iteration based on measurable outcomes. 6. Building Everything from Scratch Many small AI startups fall into the trap of building all components in-house. While this might seem like the right way to maintain control, it’s often impractical and inefficient. CTOs should consider leveraging open-source tools, pre-trained models, and third-party APIs to accelerate development. For example, tools like TensorFlow, PyTorch, and existing NLP models can save time and enable the team to focus on unique value propositions instead of reinventing the wheel. 7. Overlooking Scalability Startups may initially focus on getting a minimum viable product (MVP) out, but overlooking scalability can create issues down the road. Building an AI product that works well for ten users doesn’t necessarily mean it will work for ten thousand. CTOs should keep scalability in mind when designing data pipelines, choosing infrastructure, and developing models. Cloud-based infrastructure and modular code can make scaling smoother as demand grows. How to Succeed as a Startup CTO in AI Avoiding these pitfalls is key to making AI work for your startup. Focus on data quality, avoid biases, manage expectations, and don’t try to do it all alone. Leveraging existing tools and maintaining a clear vision for scalability will help your team deliver AI products that meet market needs and grow with your users. By recognizing these challenges, CTOs can set realistic goals, align resources, and foster a culture of learning and adaptation—key ingredients to AI startup success. Interested in seeing how AI coding assistants can streamline your development process? Discover more with Fine.dev and bring efficiency to your team's AI development journey. Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:32 |
https://www.fine.dev/blog/common-cto-startup-pitfalls#pricing | 7 Common AI Startup Pitfalls and How CTOs Can Avoid Them Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back 7 Common AI Startup Pitfalls and How CTOs Can Avoid Them Table of Contents Misjudging Data Quality Requirements Ignoring Ethical and Bias Concerns Overpromising AI Capabilities Underestimating Infrastructure Needs Lack of Clear Metrics for Success Building Everything from Scratch Overlooking Scalability How to Succeed as a Startup CTO in AI AI is transforming industries. For small startups, it's the difference between success and stagnation. But AI development is complex, especially for small teams with limited resources. Here are seven common pitfalls AI startups face and how CTOs can avoid them. 1. Misjudging Data Quality Requirements A common mistake among startups is underestimating the importance of data quality. Machine learning models thrive on clean, well-labeled data, and poor data quality can lead to incorrect conclusions and unreliable products. CTOs should establish robust data collection and cleaning processes early on, ensuring that data used in training models is accurate and relevant. Prioritize setting up validation checks and consider leveraging synthetic data to supplement small datasets when needed. 2. Ignoring Ethical and Bias Concerns Bias in AI systems can lead to flawed outcomes and reputational damage. Startups may move quickly to deploy their AI, ignoring the need to consider ethical implications and the potential biases inherent in training data. CTOs should take the lead in evaluating datasets for bias and ensuring fairness. Collaborate with data scientists to audit models regularly and be transparent about the limitations and risks associated with your AI. 3. Overpromising AI Capabilities In the excitement of innovation, it's easy to overpromise what AI can achieve. Overpromising to stakeholders or customers often results in unmet expectations, leading to frustration and loss of credibility. CTOs should manage expectations by being transparent about the limitations of current AI capabilities. Start with smaller, tangible goals and build from there, ensuring scalability once the foundational models have proven their value. 4. Underestimating Infrastructure Needs AI can be resource-intensive, requiring significant computational power and specialized hardware. Underestimating infrastructure needs can lead to bottlenecks and unexpected expenses, slowing down development. CTOs should evaluate the computational requirements early on and consider cloud-based solutions or partnerships with third-party providers to keep costs manageable without sacrificing performance. 5. Lack of Clear Metrics for Success Without clear success metrics, AI projects can drift without direction. For a startup, time and resources are scarce commodities. CTOs must define success metrics for their AI initiatives right from the beginning. Whether it's model accuracy, user engagement, or processing speed, having well-defined KPIs helps the team stay focused and enables better iteration based on measurable outcomes. 6. Building Everything from Scratch Many small AI startups fall into the trap of building all components in-house. While this might seem like the right way to maintain control, it’s often impractical and inefficient. CTOs should consider leveraging open-source tools, pre-trained models, and third-party APIs to accelerate development. For example, tools like TensorFlow, PyTorch, and existing NLP models can save time and enable the team to focus on unique value propositions instead of reinventing the wheel. 7. Overlooking Scalability Startups may initially focus on getting a minimum viable product (MVP) out, but overlooking scalability can create issues down the road. Building an AI product that works well for ten users doesn’t necessarily mean it will work for ten thousand. CTOs should keep scalability in mind when designing data pipelines, choosing infrastructure, and developing models. Cloud-based infrastructure and modular code can make scaling smoother as demand grows. How to Succeed as a Startup CTO in AI Avoiding these pitfalls is key to making AI work for your startup. Focus on data quality, avoid biases, manage expectations, and don’t try to do it all alone. Leveraging existing tools and maintaining a clear vision for scalability will help your team deliver AI products that meet market needs and grow with your users. By recognizing these challenges, CTOs can set realistic goals, align resources, and foster a culture of learning and adaptation—key ingredients to AI startup success. Interested in seeing how AI coding assistants can streamline your development process? Discover more with Fine.dev and bring efficiency to your team's AI development journey. Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:32 |
https://open.forem.com/t/productivity#main-content | Productivity - Open 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 Open Forem Close Productivity Follow Hide Productivity includes tips on how to use tools and software, process optimization, useful references, experience, and mindstate optimization. Create Post submission guidelines Please check if your article contains information or discussion bases about productivity. From posts with the tag #productivity we expect tips on how to use tools and software, process optimization, useful references, experience, and mindstate optimization. Productivity is a very broad term with many aspects and topics. From the color design of the office to personal rituals, anything can contribute to increase / optimize your own productivity or that of a team. about #productivity Does my article fit the tag? It depends! Productivity is a very broad term with many aspects and topics. From the color design of the office to personal rituals, anything can contribute to increase / optimize your own productivity or that of a team. Older #productivity posts 1 2 3 4 5 6 7 8 9 … 75 … 1272 Posts Left menu 👋 Sign in for the ability to sort posts by relevant , latest , or top . Right menu digital marketing Junaid Rana Junaid Rana Junaid Rana Follow Jan 9 digital marketing # ai # programming # beginners # productivity Comments Add Comment 5 min read On Being Productive Without Being Busy Serguey Asael Shinder Serguey Asael Shinder Serguey Asael Shinder Follow Jan 8 On Being Productive Without Being Busy # discuss # motivation # productivity Comments Add Comment 1 min read How Event Platforms Manage Regional Demand Kunal Das Kunal Das Kunal Das Follow Dec 31 '25 How Event Platforms Manage Regional Demand # management # productivity # software Comments Add Comment 4 min read Advanced Project Planning with Microsoft Planner: How Dependencies and Critical Path Keep Projects on Track? Alex Rodov Alex Rodov Alex Rodov Follow Dec 29 '25 Advanced Project Planning with Microsoft Planner: How Dependencies and Critical Path Keep Projects on Track? # management # productivity Comments Add Comment 3 min read Infrastructure Workforce Development in India: A Roadmap to 2030 Incoban Insights Incoban Insights Incoban Insights Follow Dec 27 '25 Infrastructure Workforce Development in India: A Roadmap to 2030 # career # management # productivity Comments Add Comment 3 min read Designing High-Frequency Circuit Boards That Work the First Time: An Engineer’s Field Guide Fen Liu Fen Liu Fen Liu Follow Dec 24 '25 Designing High-Frequency Circuit Boards That Work the First Time: An Engineer’s Field Guide # design # hardware # productivity 1 reaction Comments 1 comment 6 min read Improving Storage Performance in Enterprise IT Environments Amelia Hebrew Amelia Hebrew Amelia Hebrew Follow Dec 23 '25 Improving Storage Performance in Enterprise IT Environments # productivity # sannetworkswitch # business # technology Comments Add Comment 1 min read Abrir Propriedades do Sistema via CMD (Windows) Carlos Eduardo De Souza Lemos Carlos Eduardo De Souza Lemos Carlos Eduardo De Souza Lemos Follow Dec 22 '25 Abrir Propriedades do Sistema via CMD (Windows) # beginners # learning # productivity Comments Add Comment 2 min read Morar sozinho aos 15 anos Samuel Lucas Samuel Lucas Samuel Lucas Follow Dec 22 '25 Morar sozinho aos 15 anos # productivity Comments Add Comment 1 min read Technical Overview of Energy Audits for Commercial and Industrial Buildings in Dubai ridhe sharma ridhe sharma ridhe sharma Follow Dec 22 '25 Technical Overview of Energy Audits for Commercial and Industrial Buildings in Dubai # management # productivity # science Comments Add Comment 3 min read Discord community engagement strategies for thriving channels Wevolv3 Wevolv3 Wevolv3 Follow Dec 20 '25 Discord community engagement strategies for thriving channels # leadership # management # productivity Comments Add Comment 4 min read Managing the Energy of Regional Food Truck Events Marcus Delgado Marcus Delgado Marcus Delgado Follow Dec 15 '25 Managing the Energy of Regional Food Truck Events # 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A Guide to Flexible Freight Movement How Skill Development Can Improve Construction Quality in India How to Automate Document Translation 💎 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 Open Forem — A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here 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 . Open Forem © 2016 - 2026. Where all the other conversations belong Log in Create account | 2026-01-13T08:49:32 |
https://dev.to/tmorin/architecture-that-delivers-real-value-not-just-diagrams-3ldm | 📄 Architecture That Delivers Real Value — Not Just Diagrams - 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 Thibault Morin Posted on Jul 17, 2025 📄 Architecture That Delivers Real Value — Not Just Diagrams # architecture # learning # productivity # agile Quick Technical Architecture Method - QTAM (Videos) (3 Part Series) 1 📄 Architecture That Delivers Real Value — Not Just Diagrams 2 🎯 The 3 Questions That Make or Break Your Architecture Effort 3 🧠 Why Architecture Diagrams Aren’t Enough – and What to Do Instead Architecture work isn’t just about systems and diagrams — it’s about delivering real business value and aligning with stakeholder expectations. In this video, we dive into the Architecture Work Template, a practical tool designed to help you: ✅ Scope architecture efforts from multiple perspectives ✅ Bridge the gap between technical design and business outcomes ✅ Validate your analysis and turn insights into actionable plans ✅ Produce intermediate deliverables that lead to real change The Architecture Work Template is not for executive slides — it’s built for practitioners who want to make their architecture relevant, actionable, and aligned. You’ll also learn about the Architecture Work Canvas, which helps you frame your goals, constraints, and stakeholders before jumping into solutions. 👉 Try The Architecture Work Template and the full QTAM method → https://qtam.morin.io 🎓 Also available as a full online training on Udemy — theory + real-world practice + downloadable tools → https://qtam.morin.io How do you make sure your architecture delivers more than just clean diagrams? I’d love to hear what tools or approaches you use to stay aligned with stakeholders. Quick Technical Architecture Method - QTAM (Videos) (3 Part Series) 1 📄 Architecture That Delivers Real Value — Not Just Diagrams 2 🎯 The 3 Questions That Make or Break Your Architecture Effort 3 🧠 Why Architecture Diagrams Aren’t Enough – and What to Do Instead Top comments (0) Subscribe Personal Trusted User Create template Templates let you quickly answer FAQs or store snippets for re-use. Submit Preview Dismiss 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 Thibault Morin Follow Location Switzerland Joined Dec 10, 2021 More from Thibault Morin 💥 Myth #16: Technical constraints are decided later # architecture # productivity # learning # agile 💥 Myth #15: Internal priorities are all that matter # architecture # productivity # learning # agile 💥 Myth #14: Architecture work must follow a fixed, waterfall-like sequence # architecture # productivity # learning # agile 💎 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://www.linkedin.com/posts/coderabbitai_letting-users-pick-their-favorite-llm-feels-activity-7415822757399171072-epoJ | LLM Choice Destroys Quality and Consistency | CodeRabbit posted on the topic | LinkedIn Agree & Join LinkedIn By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Skip to main content LinkedIn Top Content People Learning Jobs Games Sign in Register now LLM Choice Destroys Quality and Consistency This title was summarized by AI from the post below. CodeRabbit 24,856 followers 2d Report this post Letting users pick their favorite LLM feels empowering, but it destroys quality, consistency, and cost. The best UX? No model dropdown at all. Here’s why that choice should belong to evaluation, not preference. 👇 https://lnkd.in/ehCzRD5n 14 Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in More Relevant Posts Nanthakumar Ramakrishnan 3d Report this post Why do apps place "delete" option slightly away from primary buttons? You can notice that Placing "delete" option is a kind of ux, always away from the primary buttons. Why because which spacing reduces accidental taps and gives users a moment to take pause. It is quietly preventing irreversible mistakes. Solid UX designs for caution as much as speed. When consequences are high, slowing users down is a feature, not just a flaw. #UXDesign #UserExperience #DesignThinking #HumanCenteredDesign #EverydayUX #ProductDesign Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in Bramasol, Inc. 4,648 followers 2w Report this post 9 UX Design Shifts That Will Shape 2026, These UX design shifts respond to that reality because they focus on building products that work for people in ways that respect their time, intelligence, and privacy https://hubs.ly/Q03Z5yKy0 2 Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in Jason Ambrose 3w Report this post The walled gardens are coming down. We see more and more customers challenging the assumptions on how, or if, to consolidate UX for sellers in platforms. Nobody wants 40 tabs, but does one tab make sense for all situations and all users? It's not clear that LLMs will be the grand unifying UX, either, but they are at least prompting questions (ironically) about the experience. 31 1 Comment Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in Aayush Ghimire 3w Report this post Every new user on your product shouldn't cost you a meeting. If a product relies on explanations, it's already asking way too much from the users. Clear UX spreads while explanations apologize for the bad UX. Share the last time a user figured out your product themselves without asking support agents. 4 Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in Nanthakumar Ramakrishnan 1w Report this post Why do apps show skeleton screens instead of black loading pages? Those placeholders reassure users that loaded content is coming there, even if it is not ready yet. This UX focused on trust and continuity. Solid UX always avoids dead ends. By showing some activity instead of dead emptiness, ]so the users can stay engaged and patient. #UXDesign #UserExperience #DesignThinking #HumanCenteredDesign #EverydayUX #ProductDesign Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in Syeda Kisa Batool 3w Report this post "If users notice your design, you already failed." Good UI looks beautiful. But great UX disappears. When users don’t think, don’t struggle, and don’t need instructions that’s not luck. That’s intentional UX design. Because the best compliment isn’t “Wow, nice design.” It’s “It just works.” #UIUX #UXDesign #ProductDesign #DesignThinking #UXFirst 15 2 Comments Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in Leor Wolins 2w Report this post MYTH: “Accessibility is for a small percentage of users.” REALITY: Accessibility improves the experience for EVERY user. Inclusive design isn’t a checkbox — it’s a competitive advantage. Here’s how Human-Centered Thinking transforms your product: → Inclusive design = bigger market More people can use your product, so more people will. → Edge case thinking = fewer failures If it works for the most challenged user, it’ll work flawlessly for everyone else. → Dignity-driven design = brand trust People remember products that make them feel respected and capable. Want to future-proof your UX? Make inclusion become your strongest differentiator 👉 https://wix.to/45dc5pI #DesignLeadership #UXAccessibility #InclusiveUX View C2PA information 1 Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in Micah Tom 5d Report this post I reduced churn by redesigning one screen. Not the entire product. Not a full rebrand. One screen. Because churn rarely starts with anger. It starts with confusion. Good UX doesn’t impress users. It reassures them. Small clarity improvements compound. 13 3 Comments Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in Emmanuel Oko 2w Report this post Users Didn’t Break Up With You — They Just Disappeared 😅 Low user retention Is often a UX Problem Disguised as Pricing Users rarely say: “Your UX is bad.” They just leave the product. And users leaving caused by UX is the most painful because it’s silent. Here’s how UI/UX increases low user retention without warning: 1. Friction everywhere Extra clicks. Hidden actions. Unclear CTAs. Each friction point is a tiny reason to leave. 2. Poor feedback states No loading indicators No success confirmation No error clarity Users feel unsure → trust drops → churn rises. 3. Slow experience = lost confidence Performance is UX. Speed is UX. Responsiveness is UX. If your product feels slow, low user retention increases, even if it works. Low user retention doesn’t always mean “bad product.” Sometimes it means “bad experience.” …more 4 Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in Md Samiul Islam 4d Report this post Emotion in UX: why trust beats beauty every time. Users don’t stay because your product looks good. They stay because it feels safe to use. Clear flows build trust. Consistent behavior creates confidence. Predictable outcomes make users comfortable. A beautiful interface without trust is fragile. One mistake, and users leave. Design that earns trust keeps users coming back. That’s what actually drives retention. Beauty attracts. Trust converts. #UXDesign #EmotionalDesign #UserExperience #UIUX #ProductDesign 1 Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in 24,856 followers View Profile Connect Explore content categories Career Productivity Finance Soft Skills & Emotional Intelligence Project Management Education Technology Leadership Ecommerce User Experience Show more Show less LinkedIn © 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines العربية (Arabic) বাংলা (Bangla) Čeština (Czech) Dansk (Danish) Deutsch (German) Ελληνικά (Greek) English (English) Español (Spanish) فارسی (Persian) Suomi (Finnish) Français (French) हिंदी (Hindi) Magyar (Hungarian) Bahasa Indonesia (Indonesian) Italiano (Italian) עברית (Hebrew) 日本語 (Japanese) 한국어 (Korean) मराठी (Marathi) Bahasa Malaysia (Malay) Nederlands (Dutch) Norsk (Norwegian) ਪੰਜਾਬੀ (Punjabi) Polski (Polish) Português (Portuguese) Română (Romanian) Русский (Russian) Svenska (Swedish) తెలుగు (Telugu) ภาษาไทย (Thai) Tagalog (Tagalog) Türkçe (Turkish) Українська (Ukrainian) Tiếng Việt (Vietnamese) 简体中文 (Chinese (Simplified)) 正體中文 (Chinese (Traditional)) Language Sign in to view more content Create your free account or sign in to continue your search Sign in Welcome back Email or phone Password Show Forgot password? 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https://www.fine.dev/blog/common-cto-startup-pitfalls#1-misjudging-data-quality-requirements | 7 Common AI Startup Pitfalls and How CTOs Can Avoid Them Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back 7 Common AI Startup Pitfalls and How CTOs Can Avoid Them Table of Contents Misjudging Data Quality Requirements Ignoring Ethical and Bias Concerns Overpromising AI Capabilities Underestimating Infrastructure Needs Lack of Clear Metrics for Success Building Everything from Scratch Overlooking Scalability How to Succeed as a Startup CTO in AI AI is transforming industries. For small startups, it's the difference between success and stagnation. But AI development is complex, especially for small teams with limited resources. Here are seven common pitfalls AI startups face and how CTOs can avoid them. 1. Misjudging Data Quality Requirements A common mistake among startups is underestimating the importance of data quality. Machine learning models thrive on clean, well-labeled data, and poor data quality can lead to incorrect conclusions and unreliable products. CTOs should establish robust data collection and cleaning processes early on, ensuring that data used in training models is accurate and relevant. Prioritize setting up validation checks and consider leveraging synthetic data to supplement small datasets when needed. 2. Ignoring Ethical and Bias Concerns Bias in AI systems can lead to flawed outcomes and reputational damage. Startups may move quickly to deploy their AI, ignoring the need to consider ethical implications and the potential biases inherent in training data. CTOs should take the lead in evaluating datasets for bias and ensuring fairness. Collaborate with data scientists to audit models regularly and be transparent about the limitations and risks associated with your AI. 3. Overpromising AI Capabilities In the excitement of innovation, it's easy to overpromise what AI can achieve. Overpromising to stakeholders or customers often results in unmet expectations, leading to frustration and loss of credibility. CTOs should manage expectations by being transparent about the limitations of current AI capabilities. Start with smaller, tangible goals and build from there, ensuring scalability once the foundational models have proven their value. 4. Underestimating Infrastructure Needs AI can be resource-intensive, requiring significant computational power and specialized hardware. Underestimating infrastructure needs can lead to bottlenecks and unexpected expenses, slowing down development. CTOs should evaluate the computational requirements early on and consider cloud-based solutions or partnerships with third-party providers to keep costs manageable without sacrificing performance. 5. Lack of Clear Metrics for Success Without clear success metrics, AI projects can drift without direction. For a startup, time and resources are scarce commodities. CTOs must define success metrics for their AI initiatives right from the beginning. Whether it's model accuracy, user engagement, or processing speed, having well-defined KPIs helps the team stay focused and enables better iteration based on measurable outcomes. 6. Building Everything from Scratch Many small AI startups fall into the trap of building all components in-house. While this might seem like the right way to maintain control, it’s often impractical and inefficient. CTOs should consider leveraging open-source tools, pre-trained models, and third-party APIs to accelerate development. For example, tools like TensorFlow, PyTorch, and existing NLP models can save time and enable the team to focus on unique value propositions instead of reinventing the wheel. 7. Overlooking Scalability Startups may initially focus on getting a minimum viable product (MVP) out, but overlooking scalability can create issues down the road. Building an AI product that works well for ten users doesn’t necessarily mean it will work for ten thousand. CTOs should keep scalability in mind when designing data pipelines, choosing infrastructure, and developing models. Cloud-based infrastructure and modular code can make scaling smoother as demand grows. How to Succeed as a Startup CTO in AI Avoiding these pitfalls is key to making AI work for your startup. Focus on data quality, avoid biases, manage expectations, and don’t try to do it all alone. Leveraging existing tools and maintaining a clear vision for scalability will help your team deliver AI products that meet market needs and grow with your users. By recognizing these challenges, CTOs can set realistic goals, align resources, and foster a culture of learning and adaptation—key ingredients to AI startup success. Interested in seeing how AI coding assistants can streamline your development process? Discover more with Fine.dev and bring efficiency to your team's AI development journey. Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:32 |
https://www.linkedin.com/company/coderabbitai?trk=organization_guest_main-feed-card_feed-actor-image | CodeRabbit | LinkedIn Skip to main content LinkedIn Top Content People Learning Jobs Games Sign in Join now CodeRabbit Software Development San Francisco, California 24,856 followers Cut Code Review Time & Bugs in Half. Instantly. See jobs Follow View all 117 employees Report this company Overview Jobs About us CodeRabbit is an innovative, AI-driven platform that transforms the way code reviews are done. It delivers context-aware, human-like reviews, improving code quality, reducing the time and effort required for thorough manual code reviews, and enabling teams to ship software faster. Trusted by over a thousand organizations, including The Economist, Life360, ConsumerAffairs, Hasura, and many more, to improve their code review workflow. CodeRabbit is SOC 2 Type 2, GDPR certified, and doesn't train on customer's proprietary code. Website https://coderabbit.ai External link for CodeRabbit Industry Software Development Company size 51-200 employees Headquarters San Francisco, California Type Privately Held Founded 2023 Products CodeRabbit CodeRabbit DevOps Software Ship quality code faster with CodeRabbit's AI code reviews. We offer codebase-aware line-by-line reviews with 1-click fixes to speed up your code review process. Merge PRs 50% faster with 50% fewer bugs. Locations Primary San Francisco, California, US Get directions Bengaluru, IN Get directions Employees at CodeRabbit John Demko Ashmeet Sidana Daniel Cohen Miles Mulcare See all employees Updates CodeRabbit reposted this Santosh Yadav 1d Edited Report this post Hey friends hope you had a great weekend, this week was tough for #tailwindcss as project was struggling with funding, good thing this time everyone cared and rushed in to save the project for another day. But the question remains open, is Open Source ever going to be sustainable? Cc: CodeRabbit Open Source funding was always broken Santosh Yadav on LinkedIn 39 1 Comment Like Comment Share CodeRabbit 24,856 followers 16h Report this post Rohit Khanna is going to be sharing how AI is already reshaping real engineering work, which is exactly the kind of conversation we care about at CodeRabbit! If you're in the area and available to attend, you'll not want to miss out! 🐰 Nishant Chandra 18h Edited Over the past year, I've had the same conversation with engineering leaders over and over again. AI isn't just changing how we write code. It's changing how we think about code review, how we structure teams, who we hire, and honestly, what's even worth building in the first place. But most of the conversations happening publicly? They're polished keynotes and product pitches. What's missing are the messy, honest rooms where people can actually think out loud. That's what we're trying to create with FutureLab at Newton School of Technology . The first session is happening in collaboration with The Product Folks . We're bringing together engineering leaders who are living through this shift right now, not theorizing about it. We'll start with a panel: Rohit Khanna (VP Engineering, CodeRabbit ), Rohit Nambiar (VP Engineering, Paytm ), and Aditya C. (VP Engineering, MoEngage ), moderated by Suhas Motwani (Co-founder, The Product Folks ). Then we open it up. No agenda, no script. Just people who've been in the trenches comparing notes, disagreeing, and figuring things out together. If you're actively dealing with how engineering workflows, team structures, and production realities are shifting in an AI-first world, this might be worth your time. Details and invite requests here: https://luma.com/oq62rgmn 8 Like Comment Share CodeRabbit reposted this Devario J. 17h Report this post I've been evaluating agentic code review from a few different sources (openAI, CodeRabbit etc) and so far...Im deeply in love with CodeRabbit . 11 4 Comments Like Comment Share CodeRabbit 24,856 followers 2d Report this post Letting users pick their favorite LLM feels empowering, but it destroys quality, consistency, and cost. The best UX? No model dropdown at all. Here’s why that choice should belong to evaluation, not preference. 👇 https://lnkd.in/ehCzRD5n 14 Like Comment Share CodeRabbit 24,856 followers 3d Report this post Ranking every PR we've ever reviewed 36 4 Comments Like Comment Share CodeRabbit reposted this Nithin K. 4d Report this post When the CEO of the world's most valuable tech company makes a statement like this, you pay attention. This isn't just an endorsement. It's a signal. “We are using CodeRabbit all over NVIDIA!” - Jensen at CES 2026 Michael Fox Mayur Gandhi Rohit Khanna Sahil M Bansal Ritvi Mishra Aravind Putrevu Lewis Mbae Sohum Tanksali Daniel Cohen David Loker Geetika Mehndiratta Hendrik Krack Erik Thorelli #AI #SoftwareDevelopment #CodeReview #NVIDIA #EngineeringExcellence #DevTools 75 3 Comments Like Comment Share CodeRabbit reposted this Amanda Saunders 5d Edited Report this post Big milestone for open AI in production. CodeRabbit just announced support for NVIDIA Nemotron in their AI code review platform. Real open-source models. Real developer workflows. Real production impact. By integrating Nemotron, CodeRabbit is giving teams more flexibility, better cost control, and strong reasoning performance without being locked into a single proprietary model. It’s a great example of how open models are moving beyond research and into day-to-day engineering tools. The future of AI isn’t one giant model. It’s specialized systems, powered by open models, running where and how developers choose. 👏 Huge shoutout to the CodeRabbit team for pushing open AI forward. Read more: https://lnkd.in/eXrbMRVi #agenticAI #AIinAction #opensourceAI …more 77 1 Comment Like Comment Share CodeRabbit 24,856 followers 5d Edited Report this post Mastra ships a mission-critical TypeScript agent framework used by companies like SoftBank and Adobe. For their 1.0 release, they had: > A fast-moving codebase > Zero room for breaking changes. Problem: Moving that fast without a reliable code review tool meant that bugs could slip through. Before CodeRabbit they tried multiple AI review tools and struggled to trust them! But now they have: > 70–85% of comments accepted > 0 follow‐up PRs > A clear baseline for what “review ready” means. Read more below 👇 https://lnkd.in/evwEasyZ 11 Like Comment Share CodeRabbit reposted this Harjot Gill 6d Report this post “We are using CodeRabbit all over NVIDIA!” - Jensen at CES 2026 NVIDIA AI 1,564,692 followers 6d 🤯 100% of NVIDIA engineers code with AI—and they’re checking in 3x more code than before. At that scale, human-only code review can’t keep up. CodeRabbit review agents use models like Claude and GPT with NVIDIA Nemotron to: ✅ Pull context from code, docs, project trackers, and more ✅ Use Nemotron’s long context and reasoning to summarize ✅ …so that frontier models can flag issues and suggest fixes in minutes, not days. Join us today at 11 AM PT to see an end-to-end demo and bring your Qs: https://nvda.ws/4aN0sNi 🤗 Get Nemotron Nano 3: https://nvda.ws/4qKwJJz 159 22 Comments Like Comment Share CodeRabbit reposted this NVIDIA AI 1,564,692 followers 6d Report this post 🤯 100% of NVIDIA engineers code with AI—and they’re checking in 3x more code than before. At that scale, human-only code review can’t keep up. CodeRabbit review agents use models like Claude and GPT with NVIDIA Nemotron to: ✅ Pull context from code, docs, project trackers, and more ✅ Use Nemotron’s long context and reasoning to summarize ✅ …so that frontier models can flag issues and suggest fixes in minutes, not days. Join us today at 11 AM PT to see an end-to-end demo and bring your Qs: https://nvda.ws/4aN0sNi 🤗 Get Nemotron Nano 3: https://nvda.ws/4qKwJJz …more 382 17 Comments Like Comment Share Join now to see what you are missing Find people you know at CodeRabbit Browse recommended jobs for you View all updates, news, and articles Join now Similar pages Toplyne Software Development San Francisco, California Dyna Robotics Technology, Information and Internet Redwood City, CA Overmind Software Development Ema Software Development MetalBear Software Development New York, NY Traycer Software Development Alegeus Financial Services Boston, Massachusetts PassiveLogic Software Development Salt Lake City, UT Snapp AI Technology, Information and Internet San Francisco, CA Vercel Software Development San Francisco, California Show more similar pages Show fewer similar pages Browse jobs Engineer jobs 555,845 open jobs Engineering Manager jobs 145,990 open jobs Developer jobs 258,935 open jobs Analyst jobs 694,057 open jobs Manager jobs 1,880,925 open jobs Director jobs 1,220,357 open jobs Full Stack Engineer jobs 38,546 open jobs Software Engineering Manager jobs 59,689 open jobs Director of Product Management jobs 14,985 open jobs Senior Software Engineer jobs 78,145 open jobs Senior Product Manager jobs 50,771 open jobs Product Manager jobs 199,941 open jobs Scientist jobs 48,969 open jobs Associate Software Engineer jobs 223,979 open jobs Marketing Manager jobs 106,879 open jobs Consultant jobs 760,907 open jobs Software Engineer jobs 300,699 open jobs Co-Founder jobs 5,680 open jobs Quality Assurance Engineer jobs 31,450 open jobs Frontend Developer jobs 17,238 open jobs Show more jobs like this Show fewer jobs like this Funding CodeRabbit 5 total rounds Last Round Series B Oct 16, 2025 External Crunchbase Link for last round of funding US$ 60.0M Investors Scale Venture Partners + 5 Other investors See more info on crunchbase More searches More searches Engineer jobs Software Engineer jobs Associate Product Manager jobs Account Executive jobs Business Development Specialist jobs Principal Software Engineer jobs Manager jobs Chief Technology Officer jobs Director jobs Automotive Engineer jobs Engineering Manager jobs Scientist jobs Developer jobs Senior Product Manager jobs Co-Founder jobs Android Developer jobs Customer Engineer jobs Technical Lead jobs Technology Supervisor jobs Lead jobs Application Engineer jobs Enterprise Account Executive jobs Director of Engineering jobs Intelligence Specialist jobs Senior Software Engineering Manager jobs Sales Engineer jobs Director Hardware jobs Director of Hardware Engineering jobs Account Manager jobs Deployment Engineer jobs Principal Architect jobs Group Product Manager jobs Senior Manager jobs Head of Analytics jobs Head of Product Management jobs Software Test Lead jobs Trade Specialist jobs Field Director jobs User Experience Designer jobs Principal Engineer jobs Assistant Vice President jobs Software Test Manager jobs Strategy Analyst jobs Director of Product Management jobs Associate Software Engineer jobs Security Manager jobs Legal Associate jobs Senior Scientist jobs Vice President of Engineering jobs Client Account Director jobs Designer jobs Field Application Scientist jobs Java Software Engineer jobs Analyst jobs Account Strategist jobs Intern jobs Tester jobs Business Analyst jobs Marketing Director jobs Test Engineer jobs LinkedIn © 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines العربية (Arabic) বাংলা (Bangla) Čeština (Czech) Dansk (Danish) Deutsch (German) Ελληνικά (Greek) English (English) Español (Spanish) فارسی (Persian) Suomi (Finnish) Français (French) हिंदी (Hindi) Magyar (Hungarian) Bahasa Indonesia (Indonesian) Italiano (Italian) עברית (Hebrew) 日本語 (Japanese) 한국어 (Korean) मराठी (Marathi) Bahasa Malaysia (Malay) Nederlands (Dutch) Norsk (Norwegian) ਪੰਜਾਬੀ (Punjabi) Polski (Polish) Português (Portuguese) Română (Romanian) Русский (Russian) Svenska (Swedish) తెలుగు (Telugu) ภาษาไทย (Thai) Tagalog (Tagalog) Türkçe (Turkish) Українська (Ukrainian) Tiếng Việt (Vietnamese) 简体中文 (Chinese (Simplified)) 正體中文 (Chinese (Traditional)) Language Agree & Join LinkedIn By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . 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https://dev.to/shuckle_xd/you-cant-trust-images-anymore-58jh#sources | You can't trust Images anymore - 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 pri Posted on Jan 12 You can't trust Images anymore # computervision # showdev Image manipulation isn't something new , it's been happening from almost around the time when photographs were first invented. It's just that in recent years with Artificial Intelligence has made it easier to do so. This opened the floodgates for artificially manipulated images on the internet. I literally can't tell half the time if what I am seeing is real or not. I have started questioning every image I see, heck I even question some of the photos my family sends me. This... is not good. Manipulated images have not just introduced something hard to catch, but have tarnished the credibility of real images. Images have always been a source of truth for us, something which we use to visualise what could have been merely text. Just look at history books, wouldn't they just be boring without any images? But if manipulation existed before, were images really a source of truth? History shows this isn't a one-off problem, but a recurring failure of how we trust images. One of the most widely circulated portraits of President Abraham Lincoln was later found to be simple image compositing, where his face had been placed onto another man's body. For decades this image was never questioned of its authority, despite the fact that the body belonged to a slavery advocate, directly contradicting what Lincoln stood for. This manipulation wasn't subtle, nor was it digital, yet it went unquestioned for years. Not because it was true but because verifying it was harder than believing it . Image on left is the altered portrait of President Lincoln and image on right is the original protrait of slavery advocate John Calhoun (Image credit: Library of Congress) Someone who understood the power of images was the renowned dictator of the USSR, Joseph Stalin . During his reign of power photos were not just used as historical records, but as tools to shape them. Stalin's enemies were not just removed from public life, but also expunged from records, erasing them from history. This slowly became normalised, unquestioned and now instead of images documenting the past, it was Stalin's state writing their version of the past. This type of image manipulation is an example of how it could be used not just to distort truth but help overwrite it . Left shows the original photograph of Nikolai Antipov, Stalin, Sergei Kirov and Nikolai Shvernik in Leningrad, 1926. (Credit: Tate Archive by David King, 2016/Tate, London/Art Resource, NY) The modern digital era marked a fundamental shift. With tools like Adobe Photoshop , image manipulation stopped being rare and became accessible to almost anyone. Editing no longer required significant skill, time, or resources and more importantly, it became difficult to detect. While mechanisms like metadata were introduced to preserve authenticity, they were fragile and easily altered, offering only a thin layer of reassurance. For the first time, image creation began to scale faster than image verification . This wasn’t just an increase in fake images, it was the point where trust in images stopped keeping up. Now, come to present day, that imbalance has widened dramatically. With the rise of Artificial Intelligence for image generation and editing, creating convincing manipulations no longer requires technical skill or effort. Images can now be generated, altered, or refined through simple instructions, often in seconds. What once demanded time, expertise, and intent has been reduced to a conversational interaction. Meanwhile, verifying whether an image is authentic still requires scrutiny, tools, and context in forensic fields. The result isn’t that images suddenly became fake, it’s that human judgment can no longer reliably keep up . https://x.com/IndianTechGuide/status/2009256327596355938?s=20 In recent podcast with Raj Shamani, Deepinder Goyal talked about how customers abuse AI generated content to scam Zomato customer support. I know I have been bashing on Image manipulation for the last four paragraphs or so, but it isn't inherently bad. In fact, it has enabled some of the most valuable visual work we have, from enhanced space imagery to complex visual design and creative expression. The problem isn’t that images are altered. It’s that viewers are rarely told how or why they were altered. What matters isn’t whether an image has been manipulated, but whether the truth behind it is knowable. Image of Cosmic Tarantula, which has been enhanced from infrared spectrum to a visible spectrum for better color visualization. (Image Credit: NASA, ESA, CSA, STScI, Webb ERO Production Team) To explore this problem, we’ve been building Xvertice , an attempt to give viewers more context instead of false certainty. Rather than labelling images as simply “real” or “fake,” Xvertice focuses more on explainable image forensics, helping users understand how an image may have been created, altered, or processed over time. The goal isn’t to replace judgment, but to inform it . We’re launching an experimental demo to share this approach early. It’s not a finished product, and it’s not meant to deliver definitive answers but it should make clear how we think about image trust, and how we’re trying to close the gap between creation and verification. If you try it, your feedback will directly shape where it goes next. Xvertice Links Website: https://x-vertice.com/ Twitter/X: https://x.com/teamxvertice Peerlist: https://peerlist.io/company/xvertice LinkedIn: https://www.linkedin.com/company/xvertice Sources https://www.digitalcameraworld.com/features/abraham-lincoln-vs-john-calhoun-the-original-deepfake-photo https://www.history.com/articles/josef-stalin-great-purge-photo-retouching 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 pri Follow Building https://x-vertice.com/ Joined Jan 12, 2026 Trending on DEV Community Hot When is a side project worth committing to? # ai # gemini # sideprojects # showdev What was your win this week??? # weeklyretro # discuss How to Crack Any Software Developer Interview in 2026 (Updated for AI & Modern Hiring) # softwareengineering # programming # career # interview 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV 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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https://www.fine.dev/blog/build-scalable-tech-infrastructure-for-startups#start-open-source | How to Build a Scalable Tech Infrastructure on a Startup Budget: A Step-by-Step Guide for CTOs Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back How to Build a Scalable Tech Infrastructure on a Startup Budget: A Step-by-Step Guide for CTOs Building a scalable tech infrastructure on a startup budget requires creativity and prioritization. As a CTO, you need to grow infrastructure without exhausting resources. This guide outlines steps to help your tech stack expand with your user base, without financial strain. Table of Contents Start with Open-Source Solutions Use Cloud Services Wisely Modular Architecture Automate Early Think Lean—Build for Your Current Needs Monitoring and Alerts Outsource Non-Critical Components Leverage Community and Startup Programs Scalable Data Management Prepare for Growth with a Flexible Mindset Look for Integrations Ready to Scale with Ease? 1. Start with Open-Source Solutions When budget is tight, opting for open-source software can be a game-changer. Open-source solutions often provide the flexibility you need to get started without the licensing fees associated with proprietary systems. Tools like PostgreSQL for databases, Kubernetes for orchestration, and Apache Kafka for data streaming can all be incredibly effective without incurring high costs. can all be incredibly effective without incurring high costs. The initial learning curve might be steep, but the savings are well worth it. There's also a whole community out there to help you. 2. Use Cloud Services Wisely The allure of cloud services like AWS , Google Cloud , or Azure is real—scalability, reliability, and global availability. However, these services can become expensive if not optimized. Start small by utilizing free tiers and cost calculators. Identify the essential cloud resources you need, and always keep an eye on your billing dashboard. Consider using cloud credits, which are often available for startups through accelerator programs.. 3. Modular Architecture Adopting a modular architecture allows you to build components that can be independently scaled or replaced. By separating services (e.g., microservices or serverless functions), you gain the flexibility to scale certain parts of your infrastructure as needed, instead of the entire system. This approach can help you save on unnecessary costs and avoid a complete overhaul when scaling. 4. Automate Early Automation saves both time and money. Implement CI/CD pipelines to automate testing, deployment, and code integration. This not only reduces manual effort but also helps you ship faster without additional costs. Tools like Jenkins , GitLab CI , or GitHub Actions are great options that won't break the bank, and they help maintain quality control as your team expands. that won't break the bank, and they help maintain quality control as your team expands. They can also work together with Fine, to ensure that you not only have a robust set of tests that constantly run, but any failures are turned into fixes at maximum speed. 5. Think Lean—Build for Your Current Needs Avoid the temptation to over-engineer your infrastructure based on hypothetical future requirements. Focus on building for your current needs, but keep scalability in mind. You want something that’s "scale-ready" without being bloated. An MVP-style infrastructure should focus on the most crucial features that will support immediate growth and customer acquisition. 6. Monitoring and Alerts Establishing a simple monitoring system will help you identify issues before they impact users. Open-source tools like Prometheus and Grafana allow you to keep an eye on system performance and resource usage. on system performance and resource usage. Effective monitoring helps you make informed decisions on scaling—such as when it's truly necessary to increase server capacity. 7. Outsource Non-Critical Components To keep your internal team focused on core competencies, consider outsourcing non-critical functions, like hosting static assets or even customer support. Managed services can help reduce overhead. For example, Firebase can handle authentication and real-time data syncing, allowing your developers to focus on core product features instead of worrying about server maintenance. 8. Leverage Community and Startup Programs Many tech giants offer generous startup programs, including cloud credits, free tools, and discounted software licenses. Amazon Activate , Microsoft for Startups , and Google for Startups are programs that can provide significant cost savings in the early stages. that can provide significant cost savings in the early stages. Engage with tech communities like Stack Overflow and GitHub as well, where you can access free resources and advice. 9. Scalable Data Management Data is at the core of most tech businesses, but managing it can quickly become expensive if not done wisely. Start with cost-effective databases like PostgreSQL or NoSQL options like MongoDB, depending on your needs. As your data needs grow, consider partitioning, archiving older data, and using data warehouses only when it makes sense. 10. Prepare for Growth with a Flexible Mindset Scalability is about more than technology; it's about mindset. Regularly evaluate whether your tech stack is meeting your current needs and where you might face constraints as you grow. Flexibility in choosing tools, hiring, and decision-making will allow you to scale smoothly when your startup hits growth phases. 11. Look for integrations Where platforms offer similar features, integrations with your existing tech stack can often be the deciding factor. The more your platforms can talk to each other and automate tasks, the better for your growth. Fine works with a variety of platforms to build a knowledge graph and complement your natural workflows, making it the premier AI choice for many scaling startups. Ready to Scale with Ease? Consider using Fine to make your infrastructure scalable and efficient. Fine offers advanced AI capabilities that help automate testing, code integration, and debugging, allowing your team to focus on core development without getting bogged down in manual tasks. Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:32 |
https://dev.to/cyberlord/how-exactly-are-ai-models-deployed-23an | How Exactly Are AI Models Deployed? - 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 CyberLord Posted on Jan 6 How Exactly Are AI Models Deployed? # ai # beginners # machinelearning # chatgpt In the past few months, we've seen a lot of AI models being released. From Gemini's Nano Banana to OpenAI's ChatGPT 5.2, different kinds of models are out there and available to use. However, not many people know exactly how these models are deployed. If you're also one of these people, don't worry I gotchu. AI model deployment is the process of making AI models work in a production environment. It comprises of different processes that ensures models can perform effectively and efficiently in real-world applications. Before a model is deployed, it must go through a cycle and that cycle usually includes: Data Collection Preprocessing Model Training Evaluation Deployment Monitoring and Maintenance Each cycle has its own challenges and requirements. Let me break them down. 1. Data Collection: The Foundation of AI The first step in deploying an AI model is gathering data. This data usually consists of texts, images, audio, videos, etc and is usually gotten from databases, web scraping, APIs, surveys, user behavior, etc. Although, the data needs to be relevant, diverse, and of high quality because without good data, even the best AI algorithms won’t perform well. 2. Preprocessing: Cleaning and Preparing the Data After gathering all the data, it's definitely certain that it will contain some errors such as missing values, duplicates, or even irrelevant information. This is where preprocessing comes in. Preprocessing is mainly about: Cleaning and organizing that data. Fixing errors in the data. Filling in missing values or removing incomplete entries. Converting data into a usable format (e.g., turning text into numbers for analysis). Normalizing values so everything is on the same scale. This ensures that the data is thoroughly cleaned and ready for use. 3. Model Training: Teaching the AI After cleaning up the data, it is then used to train the AI model and through continuous (reinforced, supervised or sometimes unsupervised) training, the model is now able to identify patterns, make predictions, solve problems, etc. This process is usually repeated multiple times until the model performs well to a certain degree of excellence and produces desired outcomes. 4. Evaluation: Testing the AI After the model is trained using gathered data, it is then trained using new, unused data to see how well it can use it's training data to address real-world scenarios, questions, etc. It's worth noting that there are some metrics used in this process which include: Accuracy: How often is the model correct? Precision/Recall: Does it correctly identify important cases? F1 Score: A balance between precision and recall. Latency: How fast can the model process inputs? Scalability: Can it handle a large number of requests simultaneously? Robustness: How well does it handle edge cases or unexpected inputs? If these metrics aren't met, developers go back to the training data or model architecture to make changes until desired outcomes are reached. 5. Deployment: Putting the AI to Work Once a model passes evaluation, it’s ready to be deployed in the real world but before that, there are some things to consider. The first being, how and where the model will run. Some models use a lot of resources and this plays a major factor in choosing where to deploy them. Cloud Deployment: Some models are hosted on platforms like AWS, Google Cloud, or Azure. This option makes the model easy to access and scale. A common example are AI chatbots. Edge Deployment: This is another method of deploying models is through IoT devices such as smartphones, tablets, etc. This method offers offline functionality and the most common example is the face recognition we have on our phones. Hybrid Deployment: This method is a combination of the cloud and edge methods. It's used in some electric cars like Tesla which process data locally and uploads it to the cloud. After selecting the preferred deployment method, the model is then integrated into a larger system or application. The model could be integrated into: APIs: Wrapping the model in an API (Application Programming Interface) so other systems can communicate with it. Microservices: Deploying the model as an independent service that interacts with other components. Real-Time Pipelines: For systems requiring instant predictions (e.g., fraud detection), the model is integrated into streaming pipelines. This integration ensures the model works seamlessly with existing workflows, applications, etc. Once the deployment and integration methods have been selected, the model is then deployed in the real world where regular users like you and me can start interacting with it. E.g. A recommendation engine on an e-commerce site suggesting products to customers. 6. Monitoring and Maintenance Deployment isn’t where it all ends, the AI models need to be constantly monitored to ensure they perform well in real-world conditions. Over time developers track the model's performance by regularly assessing it's accuracy against real-world data, identify and fix errors or biases that emerge after deployment. From time to time, they periodically update the model based on feedback form users and changes in data patterns to improve the model's output quality. Deploying AI models is a complex process but then it transforms algorithms into solutions that solve real-world problems, most of which we enjoy today e.g. autonomous vehicles, AI Chatbots, etc. I hope you now understand how these models are usually deployed. If you did, leave a comment, like and don't forget to follow ❤️. 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 CyberLord Follow Writer with a passion for transforming complex technical concepts into clear, concise and engaging content and also creating informative content that speaks to people from diverse audiences. Joined Oct 3, 2023 More from CyberLord Can AI Design The Perfect Game? # ai # beginners # design # gamedev AI Revolution in Game Development: Unleashing Innovation and Immersion in the Gaming Industry. # ai # machinelearning # gamedev The Effects of AI in Technical Writing # beginners # programming # ai # community 💎 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 | 2026-01-13T08:49:32 |
https://dev.to/cyberlord/how-exactly-are-ai-models-deployed-23an#comments | How Exactly Are AI Models Deployed? - 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 CyberLord Posted on Jan 6 How Exactly Are AI Models Deployed? # ai # beginners # machinelearning # chatgpt In the past few months, we've seen a lot of AI models being released. From Gemini's Nano Banana to OpenAI's ChatGPT 5.2, different kinds of models are out there and available to use. However, not many people know exactly how these models are deployed. If you're also one of these people, don't worry I gotchu. AI model deployment is the process of making AI models work in a production environment. It comprises of different processes that ensures models can perform effectively and efficiently in real-world applications. Before a model is deployed, it must go through a cycle and that cycle usually includes: Data Collection Preprocessing Model Training Evaluation Deployment Monitoring and Maintenance Each cycle has its own challenges and requirements. Let me break them down. 1. Data Collection: The Foundation of AI The first step in deploying an AI model is gathering data. This data usually consists of texts, images, audio, videos, etc and is usually gotten from databases, web scraping, APIs, surveys, user behavior, etc. Although, the data needs to be relevant, diverse, and of high quality because without good data, even the best AI algorithms won’t perform well. 2. Preprocessing: Cleaning and Preparing the Data After gathering all the data, it's definitely certain that it will contain some errors such as missing values, duplicates, or even irrelevant information. This is where preprocessing comes in. Preprocessing is mainly about: Cleaning and organizing that data. Fixing errors in the data. Filling in missing values or removing incomplete entries. Converting data into a usable format (e.g., turning text into numbers for analysis). Normalizing values so everything is on the same scale. This ensures that the data is thoroughly cleaned and ready for use. 3. Model Training: Teaching the AI After cleaning up the data, it is then used to train the AI model and through continuous (reinforced, supervised or sometimes unsupervised) training, the model is now able to identify patterns, make predictions, solve problems, etc. This process is usually repeated multiple times until the model performs well to a certain degree of excellence and produces desired outcomes. 4. Evaluation: Testing the AI After the model is trained using gathered data, it is then trained using new, unused data to see how well it can use it's training data to address real-world scenarios, questions, etc. It's worth noting that there are some metrics used in this process which include: Accuracy: How often is the model correct? Precision/Recall: Does it correctly identify important cases? F1 Score: A balance between precision and recall. Latency: How fast can the model process inputs? Scalability: Can it handle a large number of requests simultaneously? Robustness: How well does it handle edge cases or unexpected inputs? If these metrics aren't met, developers go back to the training data or model architecture to make changes until desired outcomes are reached. 5. Deployment: Putting the AI to Work Once a model passes evaluation, it’s ready to be deployed in the real world but before that, there are some things to consider. The first being, how and where the model will run. Some models use a lot of resources and this plays a major factor in choosing where to deploy them. Cloud Deployment: Some models are hosted on platforms like AWS, Google Cloud, or Azure. This option makes the model easy to access and scale. A common example are AI chatbots. Edge Deployment: This is another method of deploying models is through IoT devices such as smartphones, tablets, etc. This method offers offline functionality and the most common example is the face recognition we have on our phones. Hybrid Deployment: This method is a combination of the cloud and edge methods. It's used in some electric cars like Tesla which process data locally and uploads it to the cloud. After selecting the preferred deployment method, the model is then integrated into a larger system or application. The model could be integrated into: APIs: Wrapping the model in an API (Application Programming Interface) so other systems can communicate with it. Microservices: Deploying the model as an independent service that interacts with other components. Real-Time Pipelines: For systems requiring instant predictions (e.g., fraud detection), the model is integrated into streaming pipelines. This integration ensures the model works seamlessly with existing workflows, applications, etc. Once the deployment and integration methods have been selected, the model is then deployed in the real world where regular users like you and me can start interacting with it. E.g. A recommendation engine on an e-commerce site suggesting products to customers. 6. Monitoring and Maintenance Deployment isn’t where it all ends, the AI models need to be constantly monitored to ensure they perform well in real-world conditions. Over time developers track the model's performance by regularly assessing it's accuracy against real-world data, identify and fix errors or biases that emerge after deployment. From time to time, they periodically update the model based on feedback form users and changes in data patterns to improve the model's output quality. Deploying AI models is a complex process but then it transforms algorithms into solutions that solve real-world problems, most of which we enjoy today e.g. autonomous vehicles, AI Chatbots, etc. I hope you now understand how these models are usually deployed. If you did, leave a comment, like and don't forget to follow ❤️. 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 CyberLord Follow Writer with a passion for transforming complex technical concepts into clear, concise and engaging content and also creating informative content that speaks to people from diverse audiences. Joined Oct 3, 2023 More from CyberLord Can AI Design The Perfect Game? # ai # beginners # design # gamedev AI Revolution in Game Development: Unleashing Innovation and Immersion in the Gaming Industry. # ai # machinelearning # gamedev The Effects of AI in Technical Writing # beginners # programming # ai # community 💎 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 # odoo Follow Hide Create Post Older #odoo posts 1 2 3 4 5 6 7 8 Posts Left menu 👋 Sign in for the ability to sort posts by relevant , latest , or top . Right menu Odoo security concept Antonov Mike Antonov Mike Antonov Mike Follow Feb 5 '24 Odoo security concept # python # beginners # odoo # security 8 reactions Comments 4 comments 7 min read How to Publish odoo apps on app store Manish Manish Manish Follow Feb 5 '24 How to Publish odoo apps on app store # odoo # python # webdev # hacks Comments Add Comment 1 min read Odoo Tips : security files Jeevachaithanyan Sivanandan Jeevachaithanyan Sivanandan Jeevachaithanyan Sivanandan Follow Jan 21 '24 Odoo Tips : security files # odoo Comments Add Comment 1 min read Odoo Tips : No labels are showing for the fields in the view Jeevachaithanyan Sivanandan Jeevachaithanyan Sivanandan Jeevachaithanyan Sivanandan Follow Jan 21 '24 Odoo Tips : No labels are showing for the fields in the view # odoo Comments Add Comment 1 min read Odoo : Choosing Between `related` and `compute` Attributes in Odoo Models Jeevachaithanyan Sivanandan Jeevachaithanyan Sivanandan Jeevachaithanyan Sivanandan Follow Jan 8 '24 Odoo : Choosing Between `related` and `compute` Attributes in Odoo Models # odoo 1 reaction Comments Add Comment 2 min read Odoo Report : using python instead of View | Group By and Filter Jeevachaithanyan Sivanandan Jeevachaithanyan Sivanandan Jeevachaithanyan Sivanandan Follow Jan 15 '24 Odoo Report : using python instead of View | Group By and Filter # odoo # webdev 3 reactions Comments Add Comment 6 min read Odoo : how to add a field before address field Jeevachaithanyan Sivanandan Jeevachaithanyan Sivanandan Jeevachaithanyan Sivanandan Follow Jan 3 '24 Odoo : how to add a field before address field # odoo Comments Add Comment 1 min read How to remove 8069 port from odoo url Manish Manish Manish Follow Dec 25 '23 How to remove 8069 port from odoo url # webdev # odoo # python Comments Add Comment 1 min read How to install odoo17 on Ubuntu Manish Manish Manish Follow Dec 25 '23 How to install odoo17 on Ubuntu # webdev # odoo # python # linux Comments Add Comment 1 min read odoo - 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https://dev.to/ilyarah/how-i-built-the-fastest-ton-memecoin-sniper-alert-bot-golden-memecoin-alert-121h#comments | How I Built the Fastest TON Memecoin Sniper Alert Bot (Golden-Memecoin-Alert) - 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 ilya rahnavard Posted on Jan 2 How I Built the Fastest TON Memecoin Sniper Alert Bot (Golden-Memecoin-Alert) # webdev # python # blockchain # web3 TON memecoins move insanely fast in late 2025 – early 2026. Most tokens reach peak hype in the first 5–30 minutes after liquidity addition. By the time you see them trending on DexScreener, Telegram channels or Twitter — the move is usually 70–90% over. I got tired of missing entries, so I built Golden-Memecoin-Alert — a focused, low-latency sniper alert system specifically for TON. Repo: https://github.com/ilyarah/Golden-Memecoin-Alert Core Design Goals Detect new Jetton pools within seconds of meaningful liquidity addition Aggressive pre-filtering to remove 90–95% obvious rugs/scams instantly Very high signal-to-noise ratio (quality over quantity) Beautiful, instantly actionable Telegram messages Minimal latency end-to-end ** Architecture (high-level)** TON Center / TonAPI websocket ──► New pool / liquidity tx detector ↓ Pre-filtering engine (5–7 quick checks) ↓ Scoring engine (0–100) + threshold ↓ Async Telegram delivery (aiohttp + python-telegram-bot) ↓ Redis for deduping & rate limiting alerts Enter fullscreen mode Exit fullscreen mode ** Key filtering layers (all executed in <1 second):** Liquidity threshold (configurable, usually ≥$30–50k initial) Creator wallet age + tx history (very young or no history → high risk) Dev wallet concentration after first minutes Sell-tax / honeypot simulation (via quick buy/sell emulation) Early holder distribution (top 5 wallets < 40–50% preferred) Basic social presence check (Telegram group creation near launch) Only tokens passing most filters go to scoring. Scoring Factors (current weights – subject to change) On-chain momentum (volume, buys/sells ratio) → 35% Holder distribution & dev wallet behavior → 25% Social signals (Telegram growth speed) → 20% Risk indicators (tax, honeypot flags) → 15% Time since launch penalty (harder to get high score later) → 5% Alert threshold currently ~78–82 (very strict). Real-world performance (first ~2 months private run) ~180 high-confidence alerts ~38% reached ≥5× from alert price ~11 tokens did 20×–120× False positive rate ~9–11% Median latency: 22 seconds (best cases <10s) Still far from perfect, but meaningfully better than manual monitoring or most public Telegram scanners. Current Telegram Alert Format 🌟 GOLDEN ALERT #142 $SHIBON Launch: 38s ago MC: $142k • Liq: $58k (STON.fi) Buy: https://ston.fi/swap?... Group: t.me/shibon_ton Score: 89/100 Dev: <4% Holders: 420+ (strong early distribution) Risk: Low (no sell tax detected) Time to decide: ~2–5 minutes usually Enter fullscreen mode Exit fullscreen mode Tech Stack (as of v0.1) Python 3.11+ (asyncio heavy) TON Center API v2 + TonAPI websocket python-telegram-bot (async) aiohttp + Redis (caching & dedup) FastAPI for internal monitoring dashboard (optional) ** How to Run Your Own Instance** git clone https://github.com/ilyarah/Golden-Memecoin-Alert.git cd Golden-Memecoin-Alert # Install pip install -r requirements.txt # Create .env from .env.example # Fill TON_API_KEY, TELEGRAM_BOT_TOKEN, etc. python main.py Enter fullscreen mode Exit fullscreen mode Security warning Never run with main wallet. Always review the code yourself. Use limited balance wallets only. Final Notes The TON memecoin meta changes every few weeks. Tools that crushed in Q4 2025 are already lagging in Q1 2026. I open-sourced Golden-Memecoin-Alert because: I believe collective improvement beats solo edge The community can make it faster and smarter than I ever could alone PRs, forks, and brutal feedback are extremely welcome. Stay early. Stay sharp. Ilya ( @ilyarah on GitHub & Telegram) Repo: https://github.com/ilyarah/Golden-Memecoin-Alert Star it if it saves you from missing the next 50×. 🚀 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 ilya rahnavard Follow Self-taught full-stack blockchain Firestarter — wired for Solana, TON, Fantom(Sonic), and Ethereum L2s. I ship, I write, I share Joined Dec 25, 2025 More from ilya rahnavard Supercharge Prediction Markets Liquidity on Sonic with Flying Tulip: The Leverage Flywheel Developers Need in 2026 # fullstack # programming # blockchain # web3 I Built a Maze Runner Simulation Where Teenage Sam Altman Survives the Glade December 25, 2025 # gamedev # python # simulation 💎 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://openfeature.dev/docs/reference/sdks/server/javascript/nestjs | OpenFeature NestJS SDK | OpenFeature Skip to main content Check out our KubeCon NA '25 recap, and our new training course! Docs Specification Ecosystem Community Support & Training Tutorials Blog Search Introduction Concepts Evaluation API Providers Evaluation Context Hooks Events SDK Paradigms Tracking SDKs SDK Compatibility Overview Server Dart .NET Go Java Node.js NestJS PHP Python Ruby Rust Client Kotlin iOS Web Angular React Other Technologies CLI OFREP OpenAPI Spec MCP Contributing SDKs Server Node.js NestJS On this page OpenFeature NestJS SDK Overview The OpenFeature NestJS SDK is a package that provides a NestJS wrapper for the OpenFeature Server SDK . Capabilities include: Providing a NestJS global module to simplify OpenFeature configuration and usage within NestJS Setting up logging, event handling, hooks and providers directly when registering the module Injecting feature flags directly into controller route handlers by using decorators Injecting transaction evaluation context for flag evaluations directly from execution context (HTTP header values, client IPs, etc.) Injecting OpenFeature clients into NestJS services and controllers by using decorators Quick start MCP Install 📋 Copy Prompt Follow the MCP Getting Started guide to quickly set up the OpenFeature MCP server and connect your AI tool. Run this prompt: "Install OpenFeature into this app" Quick Install: 📦 Install in Cursor 📦 Install in VS Code claude mcp add --transport stdio openfeature npx -y @openfeature/mcp Requirements Node.js version 20+ NestJS version 8+ Install npm npm install --save @openfeature/nestjs-sdk yarn # yarn requires manual installation of the peer dependencies (see below) yarn add @openfeature/nestjs-sdk @openfeature/server-sdk @openfeature/core Required peer dependencies The following list contains the peer dependencies of @openfeature/nestjs-sdk with its expected and compatible versions: @openfeature/server-sdk : >=1.7.5 @nestjs/common : ^8.0.0 || ^9.0.0 || ^10.0.0 || ^11.0.0 @nestjs/core : ^8.0.0 || ^9.0.0 || ^10.0.0 || ^11.0.0 rxjs : ^6.0.0 || ^7.0.0 || ^8.0.0 The minimum required version of @openfeature/server-sdk currently is 1.7.5 . Usage The example below shows how to use the OpenFeatureModule with OpenFeature's InMemoryProvider . import { Module } from '@nestjs/common' ; import { OpenFeatureModule , InMemoryProvider } from '@openfeature/nestjs-sdk' ; @ Module ( { imports : [ OpenFeatureModule . forRoot ( { defaultProvider : new InMemoryProvider ( { testBooleanFlag : { defaultVariant : 'default' , variants : { default : true } , disabled : false , } , } ) , providers : { differentProvider : new InMemoryProvider ( ) , } , } ) , ] , } ) export class AppModule { } With the OpenFeatureModule configured, it's possible to inject flag evaluation details into route handlers like in the following code snippet. import { Controller , ExecutionContext , Get } from '@nestjs/common' ; import { map , Observable } from 'rxjs' ; import { BooleanFeatureFlag , EvaluationDetails } from '@openfeature/nestjs-sdk' ; import { Request } from 'express' ; @ Controller ( ) export class OpenFeatureController { @ Get ( '/welcome' ) public async welcome ( @ BooleanFeatureFlag ( { flagKey : 'testBooleanFlag' , defaultValue : false , } ) feature : Observable < EvaluationDetails < boolean >> , ) { return feature . pipe ( map ( ( details ) => details . value ? 'Welcome to this OpenFeature-enabled NestJS app!' : 'Welcome to this NestJS app!' , ) , ) ; } } It is also possible to inject the default or domain scoped OpenFeature clients into a service via Nest dependency injection system. import { Injectable } from '@nestjs/common' ; import { OpenFeatureClient , Client } from '@openfeature/nestjs-sdk' ; @ Injectable ( ) export class OpenFeatureTestService { constructor ( @ OpenFeatureClient ( ) private defaultClient : Client , @ OpenFeatureClient ( { domain : 'my-domain' } ) private scopedClient : Client , ) { } public async getBoolean ( ) { return await this . defaultClient . getBooleanValue ( 'testBooleanFlag' , false ) ; } } Managing Controller or Route Access via Feature Flags The RequireFlagsEnabled decorator can be used to manage access to a controller or route based on the enabled state of a feature flag. The decorator will throw an exception if the required feature flag(s) are not enabled. import { Controller , Get } from '@nestjs/common' ; import { RequireFlagsEnabled } from '@openfeature/nestjs-sdk' ; @ Controller ( ) export class OpenFeatureController { @ RequireFlagsEnabled ( { flags : [ { flagKey : 'testBooleanFlag' } ] } ) @ Get ( '/welcome' ) public async welcome ( ) { return 'Welcome to this OpenFeature-enabled NestJS app!' ; } } Module additional information Flag evaluation context injection Whenever a flag evaluation occurs, context can be provided with information like user e-mail, role, targeting key, etc. in order to trigger specific evaluation rules or logic. The OpenFeatureModule provides a way to configure context for each request using the contextFactory option. The contextFactory is run in a NestJS interceptor scope to configure the evaluation context, and then it is used in every flag evaluation related to this request. By default, the interceptor is configured globally, but it can be changed by setting the useGlobalInterceptor to false . In this case, it is still possible to configure a contextFactory that can be injected into route, module or controller bound interceptors. Edit this page Previous Node.js Next PHP Overview Quick start Requirements Install Usage Module additional information Flag evaluation context injection Sections Docs Specification Community Tutorials Community BlueSky Twitter LinkedIn Join us on Slack YouTube More GitHub Trademarks © 2026 OpenFeature is a Cloud Native Computing Foundation incubating project | Documentation Distributed under CC BY 4.0 | All Rights Reserved | 2026-01-13T08:49:32 |
https://www.fine.dev/blog/common-cto-startup-pitfalls#2-ignoring-ethical-and-bias-concerns | 7 Common AI Startup Pitfalls and How CTOs Can Avoid Them Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back 7 Common AI Startup Pitfalls and How CTOs Can Avoid Them Table of Contents Misjudging Data Quality Requirements Ignoring Ethical and Bias Concerns Overpromising AI Capabilities Underestimating Infrastructure Needs Lack of Clear Metrics for Success Building Everything from Scratch Overlooking Scalability How to Succeed as a Startup CTO in AI AI is transforming industries. For small startups, it's the difference between success and stagnation. But AI development is complex, especially for small teams with limited resources. Here are seven common pitfalls AI startups face and how CTOs can avoid them. 1. Misjudging Data Quality Requirements A common mistake among startups is underestimating the importance of data quality. Machine learning models thrive on clean, well-labeled data, and poor data quality can lead to incorrect conclusions and unreliable products. CTOs should establish robust data collection and cleaning processes early on, ensuring that data used in training models is accurate and relevant. Prioritize setting up validation checks and consider leveraging synthetic data to supplement small datasets when needed. 2. Ignoring Ethical and Bias Concerns Bias in AI systems can lead to flawed outcomes and reputational damage. Startups may move quickly to deploy their AI, ignoring the need to consider ethical implications and the potential biases inherent in training data. CTOs should take the lead in evaluating datasets for bias and ensuring fairness. Collaborate with data scientists to audit models regularly and be transparent about the limitations and risks associated with your AI. 3. Overpromising AI Capabilities In the excitement of innovation, it's easy to overpromise what AI can achieve. Overpromising to stakeholders or customers often results in unmet expectations, leading to frustration and loss of credibility. CTOs should manage expectations by being transparent about the limitations of current AI capabilities. Start with smaller, tangible goals and build from there, ensuring scalability once the foundational models have proven their value. 4. Underestimating Infrastructure Needs AI can be resource-intensive, requiring significant computational power and specialized hardware. Underestimating infrastructure needs can lead to bottlenecks and unexpected expenses, slowing down development. CTOs should evaluate the computational requirements early on and consider cloud-based solutions or partnerships with third-party providers to keep costs manageable without sacrificing performance. 5. Lack of Clear Metrics for Success Without clear success metrics, AI projects can drift without direction. For a startup, time and resources are scarce commodities. CTOs must define success metrics for their AI initiatives right from the beginning. Whether it's model accuracy, user engagement, or processing speed, having well-defined KPIs helps the team stay focused and enables better iteration based on measurable outcomes. 6. Building Everything from Scratch Many small AI startups fall into the trap of building all components in-house. While this might seem like the right way to maintain control, it’s often impractical and inefficient. CTOs should consider leveraging open-source tools, pre-trained models, and third-party APIs to accelerate development. For example, tools like TensorFlow, PyTorch, and existing NLP models can save time and enable the team to focus on unique value propositions instead of reinventing the wheel. 7. Overlooking Scalability Startups may initially focus on getting a minimum viable product (MVP) out, but overlooking scalability can create issues down the road. Building an AI product that works well for ten users doesn’t necessarily mean it will work for ten thousand. CTOs should keep scalability in mind when designing data pipelines, choosing infrastructure, and developing models. Cloud-based infrastructure and modular code can make scaling smoother as demand grows. How to Succeed as a Startup CTO in AI Avoiding these pitfalls is key to making AI work for your startup. Focus on data quality, avoid biases, manage expectations, and don’t try to do it all alone. Leveraging existing tools and maintaining a clear vision for scalability will help your team deliver AI products that meet market needs and grow with your users. By recognizing these challenges, CTOs can set realistic goals, align resources, and foster a culture of learning and adaptation—key ingredients to AI startup success. Interested in seeing how AI coding assistants can streamline your development process? Discover more with Fine.dev and bring efficiency to your team's AI development journey. Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:32 |
https://dev.to/veritaschain/the-eu-ai-act-doesnt-mandate-cryptographic-logs-but-youll-want-them-anyway-97f | The EU AI Act Doesn't Mandate Cryptographic Logs—But You'll Want Them Anyway - 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 VeritasChain Standards Organization (VSO) Posted on Dec 25, 2025 The EU AI Act Doesn't Mandate Cryptographic Logs—But You'll Want Them Anyway # ai # cryptography # blockchain How Articles 12, 15, and 73 create implicit pressure for tamper-evident audit trails in high-risk AI systems TL;DR The EU AI Act (Regulation 2024/1689) requires automatic logging for high-risk AI systems but doesn't explicitly mandate cryptographic mechanisms. However, the combination of lifetime traceability requirements (Article 12), cybersecurity obligations (Article 15), and forensic evidence preservation rules (Article 73) makes hash-chained, digitally-signed logs the economically rational choice. This article maps each relevant provision to cryptographic implementations—and shows why "minimum compliance" approaches are legally riskier than going beyond the baseline. The Regulatory Landscape: What the Act Actually Says The EU AI Act entered into force on August 1, 2024. High-risk system requirements become enforceable on August 2, 2026 . The clock is ticking. Article 12: The Foundation "High-risk AI systems shall technically allow for the automatic recording of events (logs) over the lifetime of the system." — Article 12(1), Regulation (EU) 2024/1689 This is a mandatory pre-market design requirement . Systems lacking logging capabilities cannot legally enter the EU market. But notice what's not specified: ❌ Log format or schema ❌ Storage architecture ❌ Integrity protection methods ❌ Third-party verifiability The phrase "appropriate to the intended purpose" delegates technical specification to provider judgment. This is where cryptographic approaches shine. Article 19: Retention Requirements Obligation Minimum Period Automatically generated logs 6 months Technical documentation 10 years Conformity assessments 10 years Financial institutions face sector-specific extensions (MiFID II: 5-7 years). The question isn't whether to retain logs—it's whether you can prove they haven't been tampered with during that period. Article 73: The Forensic Imperative "The provider shall not perform any investigation which involves altering the AI system concerned in a way which may affect any subsequent evaluation of the causes of the incident." — Article 73(6) This is the killer provision. During serious incident investigations: 15 days for standard incidents 10 days for death or suspected death 2 days for critical infrastructure disruption Mutable logs create legal exposure. If you modify logs (intentionally or inadvertently) during investigation, you face: Regulatory presumption of non-compliance Enhanced penalties under Article 99 (misleading information) Civil liability in private litigation Cryptographic hash chains solve this. Append-only logs with cryptographic timestamps demonstrate preservation compliance without restricting legitimate analysis. The Compliance Gap: Minimum vs. Defensible Here's the uncomfortable truth: Minimum Compliance Vulnerability Cryptographic Solution Mutable database logs Article 73 evidence tampering allegations Tamper-evident hash chains Manual documentation Annex IV burden; human error Automated generation from event streams Provider-only verification Authority skepticism Third-party verifiable proofs Reactive incident response Article 73 deadline pressure Real-time anomaly detection The Act creates a "compliance floor, not ceiling" regime. Minimum compliance is achievable with conventional logging—but cryptographic approaches provide superior evidential weight and competitive differentiation. Technical Architecture: Building Compliant Audit Trails Hash Chain Implementation Every event links cryptographically to its predecessor: import hashlib import json from datetime import datetime , timezone class AuditEvent : def __init__ ( self , event_type : str , payload : dict , prev_hash : str ): self . timestamp = datetime . now ( timezone . utc ). isoformat () self . event_type = event_type self . payload = payload self . prev_hash = prev_hash self . hash = self . _compute_hash () def _compute_hash ( self ) -> str : """ SHA-256 hash of canonicalized event data """ canonical = json . dumps ({ " timestamp " : self . timestamp , " event_type " : self . event_type , " payload " : self . payload , " prev_hash " : self . prev_hash }, sort_keys = True , separators = ( ' , ' , ' : ' )) return hashlib . sha256 ( canonical . encode ()). hexdigest () def verify_chain ( self , expected_prev_hash : str ) -> bool : """ Verify hash chain integrity """ return self . prev_hash == expected_prev_hash # Article 12(3) biometric system logging event = AuditEvent ( event_type = " BIOMETRIC_VERIFICATION " , payload = { " start_time " : " 2025-12-25T09:00:00Z " , " end_time " : " 2025-12-25T09:00:03Z " , " reference_database " : " db_employees_v3 " , " match_confidence " : 0.97 , " verifier_id " : " operator_12345 " , # Article 12(3)(d) requirement " verifier_signature " : " ed25519:... " # Non-repudiation }, prev_hash = " abc123... " ) Enter fullscreen mode Exit fullscreen mode This satisfies: ✅ Article 12(1): Automatic recording capability ✅ Article 12(3): Biometric system minimum logging ✅ Article 73(6): Tamper-evident evidence preservation Digital Signatures for Human Oversight Article 14 requires human oversight capabilities. Article 12(3)(d) requires identification of human verifiers. Digital signatures provide non-repudiation: from nacl.signing import SigningKey , VerifyKey from nacl.encoding import HexEncoder class OversightAction : """ Article 14 human oversight with cryptographic attribution """ def __init__ ( self , action_type : str , operator_key : SigningKey ): self . action_type = action_type self . timestamp = datetime . now ( timezone . utc ). isoformat () self . operator_public_key = operator_key . verify_key . encode ( HexEncoder ). decode () self . _sign ( operator_key ) def _sign ( self , key : SigningKey ): message = f " { self . action_type } : { self . timestamp } " . encode () self . signature = key . sign ( message , encoder = HexEncoder ). signature . decode () def verify ( self , public_key : VerifyKey ) -> bool : message = f " { self . action_type } : { self . timestamp } " . encode () try : public_key . verify ( message , bytes . fromhex ( self . signature ) ) return True except : return False # Human override decision (Article 14(4)(d)) override = OversightAction ( action_type = " DECISION_OVERRIDE " , operator_key = operator_signing_key ) Enter fullscreen mode Exit fullscreen mode This creates: Individual attribution : Specific person exercised oversight Temporal proof : Intervention occurred at claimed time Decision integrity : Cannot be silently modified post-incident Merkle Trees for Efficient Verification Authorities don't need your entire operational dataset. Merkle proofs enable selective disclosure : import hashlib from typing import List , Optional class MerkleTree : """ Efficient verification without full dataset exposure """ def __init__ ( self , leaves : List [ str ]): self . leaves = [ self . _hash ( leaf ) for leaf in leaves ] self . tree = self . _build_tree ( self . leaves ) self . root = self . tree [ - 1 ][ 0 ] if self . tree else None def _hash ( self , data : str ) -> str : return hashlib . sha256 ( data . encode ()). hexdigest () def _build_tree ( self , leaves : List [ str ]) -> List [ List [ str ]]: if not leaves : return [] tree = [ leaves ] while len ( tree [ - 1 ]) > 1 : level = [] nodes = tree [ - 1 ] for i in range ( 0 , len ( nodes ), 2 ): left = nodes [ i ] right = nodes [ i + 1 ] if i + 1 < len ( nodes ) else left level . append ( self . _hash ( left + right )) tree . append ( level ) return tree def get_proof ( self , index : int ) -> List [ tuple ]: """ Generate proof for leaf at index """ proof = [] for level in self . tree [: - 1 ]: if index % 2 == 0 : sibling_idx = index + 1 if index + 1 < len ( level ) else index proof . append (( ' right ' , level [ sibling_idx ])) else : proof . append (( ' left ' , level [ index - 1 ])) index //= 2 return proof # Anchor daily Merkle roots for long-term verification daily_events = [ event . hash for event in today_audit_trail ] merkle = MerkleTree ( daily_events ) anchor_root = merkle . root # Store/publish this single hash Enter fullscreen mode Exit fullscreen mode Use case : Authority requests logs from incident timeframe. You provide: Relevant events (Article 72 post-market monitoring) Merkle proofs demonstrating completeness Anchored root (published/timestamped) proving data existed at claimed time No full dataset exposure. Mathematically verifiable integrity. MQL5 Integration: Trading System Audit Trails For algorithmic trading systems under EU AI Act scope: //+------------------------------------------------------------------+ //| VCP-compliant audit logging for MQL5 trading algorithms | //| Satisfies Article 12 automatic recording requirement | //+------------------------------------------------------------------+ #include <JAson.mqh> class CVCPAuditLog { private: string m_prev_hash; int m_file_handle; string ComputeSHA256(string data) { uchar src[], dst[], key[]; StringToCharArray(data, src); CryptEncode(CRYPT_HASH_SHA256, src, key, dst); string hash = ""; for(int i = 0; i < ArraySize(dst); i++) hash += StringFormat("%02x", dst[i]); return hash; } public: CVCPAuditLog() { m_prev_hash = "genesis"; m_file_handle = FileOpen("vcp_audit.jsonl", FILE_WRITE|FILE_TXT); } void LogOrderEvent(string event_type, ulong ticket, double price, double volume) { CJAVal json; json["timestamp"] = TimeToString(TimeGMT(), TIME_DATE|TIME_SECONDS); json["event_type"] = event_type; json["ticket"] = IntegerToString(ticket); json["price"] = DoubleToString(price, _Digits); json["volume"] = DoubleToString(volume, 2); json["symbol"] = _Symbol; json["prev_hash"] = m_prev_hash; string canonical = json.Serialize(); string current_hash = ComputeSHA256(canonical); json["hash"] = current_hash; if(m_file_handle != INVALID_HANDLE) { FileWriteString(m_file_handle, json.Serialize() + "\n"); FileFlush(m_file_handle); } m_prev_hash = current_hash; } // Article 14: Human oversight logging void LogHumanOverride(string reason, string operator_id) { CJAVal json; json["timestamp"] = TimeToString(TimeGMT(), TIME_DATE|TIME_SECONDS); json["event_type"] = "HUMAN_OVERRIDE"; json["reason"] = reason; json["operator_id"] = operator_id; json["prev_hash"] = m_prev_hash; // In production: add Ed25519 signature from operator's key string canonical = json.Serialize(); m_prev_hash = ComputeSHA256(canonical); json["hash"] = m_prev_hash; if(m_file_handle != INVALID_HANDLE) FileWriteString(m_file_handle, json.Serialize() + "\n"); } }; // Global audit logger CVCPAuditLog g_audit; void OnTrade() { // Automatically log all trade events (Article 12(1)) HistorySelect(TimeCurrent() - 1, TimeCurrent()); int total = HistoryDealsTotal(); for(int i = 0; i < total; i++) { ulong ticket = HistoryDealGetTicket(i); double price = HistoryDealGetDouble(ticket, DEAL_PRICE); double volume = HistoryDealGetDouble(ticket, DEAL_VOLUME); g_audit.LogOrderEvent("DEAL_EXECUTED", ticket, price, volume); } } Enter fullscreen mode Exit fullscreen mode GDPR Compatibility: The Crypto-Shredding Solution The elephant in the room: GDPR Article 5(1)(e) storage limitation vs. AI Act Article 19 retention requirements. Solution: Architectural separation ┌─────────────────────────────────────────────────────────────┐ │ AUDIT INTEGRITY LAYER │ │ (Immutable - hash chains, Merkle roots, timestamps) │ │ │ │ ┌──────────┐ ┌──────────┐ ┌──────────┐ ┌──────────┐ │ │ │ Event │──│ Event │──│ Event │──│ Event │ │ │ │ Hash #1 │ │ Hash #2 │ │ Hash #3 │ │ Hash #4 │ │ │ └────┬─────┘ └────┬─────┘ └────┬─────┘ └────┬─────┘ │ └───────┼─────────────┼─────────────┼─────────────┼──────────┘ │ │ │ │ ▼ ▼ ▼ ▼ ┌─────────────────────────────────────────────────────────────┐ │ PERSONAL DATA LAYER │ │ (Deletable - encrypted, key-managed) │ │ │ │ ┌──────────┐ ┌──────────┐ ┌──────────┐ ┌──────────┐ │ │ │ Encrypted│ │ Encrypted│ │ DELETED │ │ Encrypted│ │ │ │ PII #1 │ │ PII #2 │ │ (shredded)│ │ PII #4 │ │ │ │ [Key: K1]│ │ [Key: K1]│ │ │ │ [Key: K2]│ │ │ └──────────┘ └──────────┘ └──────────┘ └──────────┘ │ └─────────────────────────────────────────────────────────────┘ Enter fullscreen mode Exit fullscreen mode Crypto-shredding workflow : Personal data encrypted with per-subject keys Hash of encrypted data stored in audit chain GDPR deletion request → destroy encryption key Audit chain intact (proves events occurred) Personal data irrecoverable (satisfies erasure right) from cryptography.fernet import Fernet from cryptography.hazmat.primitives import hashes from cryptography.hazmat.primitives.kdf.pbkdf2 import PBKDF2HMAC import base64 import os class CryptoShreddingManager : """ GDPR-compliant deletion with audit trail preservation """ def __init__ ( self , key_store_path : str ): self . key_store = {} self . key_store_path = key_store_path def _generate_subject_key ( self , subject_id : str ) -> bytes : """ Generate unique encryption key per data subject """ salt = os . urandom ( 16 ) kdf = PBKDF2HMAC ( algorithm = hashes . SHA256 (), length = 32 , salt = salt , iterations = 480000 , ) key = base64 . urlsafe_b64encode ( kdf . derive ( subject_id . encode ())) self . key_store [ subject_id ] = { " key " : key , " salt " : salt } return key def encrypt_pii ( self , subject_id : str , data : bytes ) -> tuple : """ Encrypt PII, return ciphertext and hash for audit chain """ if subject_id not in self . key_store : key = self . _generate_subject_key ( subject_id ) else : key = self . key_store [ subject_id ][ " key " ] f = Fernet ( key ) ciphertext = f . encrypt ( data ) # Hash goes in immutable audit chain data_hash = hashlib . sha256 ( ciphertext ). hexdigest () return ciphertext , data_hash def crypto_shred ( self , subject_id : str ) -> bool : """ GDPR Article 17 erasure via key destruction """ if subject_id in self . key_store : # Securely overwrite key material key_data = self . key_store [ subject_id ] key_data [ " key " ] = os . urandom ( len ( key_data [ " key " ])) del self . key_store [ subject_id ] # Log shredding event (itself goes in audit chain) return True return False Enter fullscreen mode Exit fullscreen mode The Business Case: Beyond Compliance Risk Calculus For a high-risk AI system serving the EU market: Scenario Conventional Logs Cryptographic Logs Article 73 investigation Integrity questioned; burden on provider to prove non-tampering Cryptographic proof of integrity; authority can verify independently Conformity assessment Self-attestation only Third-party verifiable evidence packages Litigation Logs challenged as potentially altered Mathematical proof of authenticity Insurance Higher premiums; exclusions for data integrity failures Favorable terms for verified audit trails Competitive positioning Baseline compliance "Cryptographically Verifiable" as premium feature Standards Trajectory CEN-CENELEC JTC 21 is developing harmonized standards for AI Act compliance: prEN ISO/IEC 24970 : AI System Logging (public consultation expected mid-2025) Standards likely to incorporate cryptographic mechanisms based on: ISO/IEC 27001 integrity controls Financial sector precedents (SEC CAT, ESMA transaction reporting) NIST Cybersecurity Framework cryptographic baselines Early adopters of cryptographic logging will be aligned with harmonized standards before publication. Implementation Roadmap Phase 1: Foundation (Now → Q2 2025) [ ] Implement hash-chained event logging [ ] Deploy Ed25519 signing for human oversight events [ ] Establish key management infrastructure [ ] Document architecture as Article 11/Annex IV technical documentation Phase 2: Verification (Q2 2025 → Q4 2025) [ ] Add Merkle tree aggregation for efficient proofs [ ] Integrate eIDAS-qualified timestamps [ ] Implement GDPR crypto-shredding layer [ ] Build authority reporting templates (Article 73) Phase 3: Hardening (Q4 2025 → August 2026) [ ] Conformity assessment dry run [ ] Third-party audit of cryptographic controls [ ] Post-market monitoring integration (Article 72) [ ] Incident response procedure validation Conclusion: The Implicit Mandate The EU AI Act doesn't explicitly require cryptographic audit trails. But it creates a regulatory environment where they're the economically rational choice : Article 12 demands lifetime logging → hash chains ensure continuity Article 15 requires cybersecurity → cryptographic integrity satisfies this Article 73 prohibits evidence alteration → immutable logs provide defense Article 72 needs verifiable monitoring → timestamped proofs demonstrate compliance The market is moving toward cryptographic verification not because it's legally mandated, but because alternatives are legally riskier. The VeritasChain Protocol (VCP) provides an open specification for implementing these patterns. Whether you adopt VCP or build your own architecture, the technical requirements are clear: hash chains, digital signatures, qualified timestamps, and verifiable proofs. The August 2026 deadline approaches. The question isn't whether to implement cryptographic audit trails—it's whether you'll be ready when authorities start asking for evidence you can actually prove. Resources EU AI Act Official Text : EUR-Lex 2024/1689 VeritasChain Protocol Specification : veritaschain.org VCP GitHub : github.com/veritaschain IETF Draft : draft-kamimura-scitt-vcp CEN-CENELEC JTC 21 : AI Standards Development This article is published by the VeritasChain Standards Organization (VSO) as educational content. VSO is a non-profit standards body and does not endorse specific commercial implementations. For technical inquiries: technical@veritaschain.org Tags : #ai #compliance #cryptography #euaiact #audit #blockchain #regulations #fintech 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 VeritasChain Standards Organization (VSO) Follow Developing global cryptographic standards for algorithmic & AI-driven trading. Maintainer of VeritasChain Protocol (VCP) — a tamper-evident audit layer designed for MiFID II, EU AI Act, and next-gener Location Tokyo, Japan Joined Dec 7, 2025 More from VeritasChain Standards Organization (VSO) Building Cryptographic Audit Trails for AI Trading Systems: A Deep Dive into RFC 6962-Based Verification # ai # regtech The Grok Scandal Proves AI Needs Cryptographic Audit Trails—Not Just Content Moderation # ai # security # opensource Why Your Trading Algorithm Needs a Flight Recorder: Lessons from the 2025 Market Chaos # fintech # cryptography # security # algorithms 💎 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 # software Follow Hide All things related to software development and engineering. Create Post Older #software posts 9 10 11 12 13 14 15 16 17 Posts Left menu 👋 Sign in for the ability to sort posts by relevant , latest , or top . Right menu Making Authentication Seamless: How SSO Works in Modern Systems Sohil Lalakiya Sohil Lalakiya Sohil Lalakiya Follow Oct 2 '25 Making Authentication Seamless: How SSO Works in Modern Systems # webdev # security # ai # software Comments Add Comment 3 min read Create Custom Business Software in Two Hours and Free of Charge: Ditching the Buy-vs-Build Dilemma Alex Werder Alex Werder Alex Werder Follow Nov 5 '25 Create Custom Business Software in Two Hours and Free of Charge: Ditching the Buy-vs-Build Dilemma # opensource # php # software 1 reaction Comments Add Comment 10 min read How to build a Heapless Vector using `MaybeUninit<T>` for Better Performance. Allwell Allwell Allwell Follow Nov 4 '25 How to build a Heapless Vector using `MaybeUninit<T>` for Better Performance. # rust # iot # datastructures # software Comments Add Comment 21 min read 🛠 How to Approach Building Software Mohammed mhanna Mohammed mhanna Mohammed mhanna Follow Oct 14 '25 🛠 How to Approach Building Software # discuss # software # architecture # learning 4 reactions Comments Add Comment 3 min read Jenis-Jenis Pola Komunikasi Antar Sistem Aplikasi Nandan Ramdani Nandan Ramdani Nandan Ramdani Follow Oct 23 '25 Jenis-Jenis Pola Komunikasi Antar Sistem Aplikasi # programming # webdev # software # architect Comments Add Comment 3 min read Behaviour-based Object Composition in Simulations Eric Eric Eric Follow Nov 2 '25 Behaviour-based Object Composition in Simulations # architecture # programming # software # csharp 6 reactions Comments Add Comment 9 min read 🧹 Garbage Collection (GC) in Java Mohammed mhanna Mohammed mhanna Mohammed mhanna Follow Oct 12 '25 🧹 Garbage Collection (GC) in Java # developer # resources # software # computerscience 1 reaction Comments Add Comment 3 min read When Floating-Point Failed Catastrophically Cfir Aguston Cfir Aguston Cfir Aguston Follow Oct 12 '25 When Floating-Point Failed Catastrophically # software # programming # techhistory # computerscience Comments Add Comment 2 min read Functional Interfaces You Must Know - The Backbone of Java Streams Priyank Bhardwaj Priyank Bhardwaj Priyank Bhardwaj Follow Nov 1 '25 Functional Interfaces You Must Know - The Backbone of Java Streams # java # streams # software # tutorial 1 reaction Comments Add Comment 4 min read I built a free PowerShell tool to fix common Windows 11 issues (BSOD, network, audio, login, updates) MentalistOps MentalistOps MentalistOps Follow Nov 1 '25 I built a free PowerShell tool to fix common Windows 11 issues (BSOD, network, audio, login, updates) # productivity # opensource # automation # software Comments Add Comment 1 min read Professional Roadmap Oct.20.2025 Nicolás Gómez Aragón Nicolás Gómez Aragón Nicolás Gómez Aragón Follow Oct 21 '25 Professional Roadmap Oct.20.2025 # salesforce # backend # software # learning Comments Add Comment 1 min read Trust over Speed: Why Rhythm Is the Key to Sustainable Growth KONI KONI KONI Follow Nov 1 '25 Trust over Speed: Why Rhythm Is the Key to Sustainable Growth # productivity # programming # software Comments 1 comment 1 min read How the Service Catalog Works in BILLmanager Mateo Rivera Mateo Rivera Mateo Rivera Follow Sep 27 '25 How the Service Catalog Works in BILLmanager # tutorial # software Comments Add Comment 4 min read The Great Software Quality Collapse: How We Normalized Catastrophe Denis Stetskov Denis Stetskov Denis Stetskov Follow Sep 29 '25 The Great Software Quality Collapse: How We Normalized Catastrophe # ai # software # engineering # development Comments Add Comment 6 min read The Post-SaaS Era: How AI Agents Are Redefining Software Delivery Rylko Roman Rylko Roman Rylko Roman Follow Oct 29 '25 The Post-SaaS Era: How AI Agents Are Redefining Software Delivery # saas # software # postsaas # ai Comments 1 comment 5 min read The Architecture of Multi-Agent AI Systems, Explained Leena Malhotra Leena Malhotra Leena Malhotra Follow Sep 26 '25 The Architecture of Multi-Agent AI Systems, Explained # architecture # software # ai 3 reactions Comments Add Comment 7 min read Building a HIPAA-Compliant Chatbot with AWS Lambda & Bedrock LAVANYA LAHARI NANDIPATI LAVANYA LAHARI NANDIPATI LAVANYA LAHARI NANDIPATI Follow Sep 25 '25 Building a HIPAA-Compliant Chatbot with AWS Lambda & Bedrock # aws # software # hipaa # awsbedrock Comments Add Comment 2 min read The Basics of Software Testing M. Oly Mahmud M. Oly Mahmud M. Oly Mahmud Follow Oct 29 '25 The Basics of Software Testing # software # testing # computerscience # softwareengineering 7 reactions Comments Add Comment 3 min read Being A Great Developer Is More Than Just Code Output - Mentorship Cesar Garza Cesar Garza Cesar Garza Follow Oct 28 '25 Being A Great Developer Is More Than Just Code Output - Mentorship # mentorship # software # leadership # ai 1 reaction Comments Add Comment 4 min read The Patchbay Principle: How Audio Engineering Taught Me to Code Caleb Stein Caleb Stein Caleb Stein Follow Oct 29 '25 The Patchbay Principle: How Audio Engineering Taught Me to Code # programming # beginners # coding # software 2 reactions Comments 1 comment 6 min read An Object Composition System for Reactive Worlds: BOCS Eric Eric Eric Follow Oct 27 '25 An Object Composition System for Reactive Worlds: BOCS # csharp # coding # architecture # software 13 reactions Comments 2 comments 8 min read “SysNova Toolkit: Ethical Diagnostics for Windows & macOS — Built by a Self-Taught Technician” MentalistOps MentalistOps MentalistOps Follow Oct 26 '25 “SysNova Toolkit: Ethical Diagnostics for Windows & macOS — Built by a Self-Taught Technician” # opensource # softwareengineering # software # developers Comments Add Comment 1 min read How Product Development Software Drives Innovation and Business Growth Andrew Wade Andrew Wade Andrew Wade Follow Sep 23 '25 How Product Development Software Drives Innovation and Business Growth # software # ai # webdev # product Comments Add Comment 4 min read 👨💻 Web Developer vs Software Engineer - What’s the difference? Are they the same? Muhammad Hamid Raza Muhammad Hamid Raza Muhammad Hamid Raza Follow Oct 26 '25 👨💻 Web Developer vs Software Engineer - What’s the difference? Are they the same? # webdev # software # productivity # career 6 reactions Comments Add Comment 2 min read On Fear of Friday Deployments Steve Fenton Steve Fenton Steve Fenton Follow Sep 22 '25 On Fear of Friday Deployments # cicd # software 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. 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https://www.fine.dev/blog/build-scalable-tech-infrastructure-for-startups#pricing | How to Build a Scalable Tech Infrastructure on a Startup Budget: A Step-by-Step Guide for CTOs Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back How to Build a Scalable Tech Infrastructure on a Startup Budget: A Step-by-Step Guide for CTOs Building a scalable tech infrastructure on a startup budget requires creativity and prioritization. As a CTO, you need to grow infrastructure without exhausting resources. This guide outlines steps to help your tech stack expand with your user base, without financial strain. Table of Contents Start with Open-Source Solutions Use Cloud Services Wisely Modular Architecture Automate Early Think Lean—Build for Your Current Needs Monitoring and Alerts Outsource Non-Critical Components Leverage Community and Startup Programs Scalable Data Management Prepare for Growth with a Flexible Mindset Look for Integrations Ready to Scale with Ease? 1. Start with Open-Source Solutions When budget is tight, opting for open-source software can be a game-changer. Open-source solutions often provide the flexibility you need to get started without the licensing fees associated with proprietary systems. Tools like PostgreSQL for databases, Kubernetes for orchestration, and Apache Kafka for data streaming can all be incredibly effective without incurring high costs. can all be incredibly effective without incurring high costs. The initial learning curve might be steep, but the savings are well worth it. There's also a whole community out there to help you. 2. Use Cloud Services Wisely The allure of cloud services like AWS , Google Cloud , or Azure is real—scalability, reliability, and global availability. However, these services can become expensive if not optimized. Start small by utilizing free tiers and cost calculators. Identify the essential cloud resources you need, and always keep an eye on your billing dashboard. Consider using cloud credits, which are often available for startups through accelerator programs.. 3. Modular Architecture Adopting a modular architecture allows you to build components that can be independently scaled or replaced. By separating services (e.g., microservices or serverless functions), you gain the flexibility to scale certain parts of your infrastructure as needed, instead of the entire system. This approach can help you save on unnecessary costs and avoid a complete overhaul when scaling. 4. Automate Early Automation saves both time and money. Implement CI/CD pipelines to automate testing, deployment, and code integration. This not only reduces manual effort but also helps you ship faster without additional costs. Tools like Jenkins , GitLab CI , or GitHub Actions are great options that won't break the bank, and they help maintain quality control as your team expands. that won't break the bank, and they help maintain quality control as your team expands. They can also work together with Fine, to ensure that you not only have a robust set of tests that constantly run, but any failures are turned into fixes at maximum speed. 5. Think Lean—Build for Your Current Needs Avoid the temptation to over-engineer your infrastructure based on hypothetical future requirements. Focus on building for your current needs, but keep scalability in mind. You want something that’s "scale-ready" without being bloated. An MVP-style infrastructure should focus on the most crucial features that will support immediate growth and customer acquisition. 6. Monitoring and Alerts Establishing a simple monitoring system will help you identify issues before they impact users. Open-source tools like Prometheus and Grafana allow you to keep an eye on system performance and resource usage. on system performance and resource usage. Effective monitoring helps you make informed decisions on scaling—such as when it's truly necessary to increase server capacity. 7. Outsource Non-Critical Components To keep your internal team focused on core competencies, consider outsourcing non-critical functions, like hosting static assets or even customer support. Managed services can help reduce overhead. For example, Firebase can handle authentication and real-time data syncing, allowing your developers to focus on core product features instead of worrying about server maintenance. 8. Leverage Community and Startup Programs Many tech giants offer generous startup programs, including cloud credits, free tools, and discounted software licenses. Amazon Activate , Microsoft for Startups , and Google for Startups are programs that can provide significant cost savings in the early stages. that can provide significant cost savings in the early stages. Engage with tech communities like Stack Overflow and GitHub as well, where you can access free resources and advice. 9. Scalable Data Management Data is at the core of most tech businesses, but managing it can quickly become expensive if not done wisely. Start with cost-effective databases like PostgreSQL or NoSQL options like MongoDB, depending on your needs. As your data needs grow, consider partitioning, archiving older data, and using data warehouses only when it makes sense. 10. Prepare for Growth with a Flexible Mindset Scalability is about more than technology; it's about mindset. Regularly evaluate whether your tech stack is meeting your current needs and where you might face constraints as you grow. Flexibility in choosing tools, hiring, and decision-making will allow you to scale smoothly when your startup hits growth phases. 11. Look for integrations Where platforms offer similar features, integrations with your existing tech stack can often be the deciding factor. The more your platforms can talk to each other and automate tasks, the better for your growth. Fine works with a variety of platforms to build a knowledge graph and complement your natural workflows, making it the premier AI choice for many scaling startups. Ready to Scale with Ease? Consider using Fine to make your infrastructure scalable and efficient. Fine offers advanced AI capabilities that help automate testing, code integration, and debugging, allowing your team to focus on core development without getting bogged down in manual tasks. Start building today Try out the smoothest way to build, launch and manage an app Try for Free -> © Fine.dev - All rights reserved. Product Overview AI Workflows Pricing & Plans Changelog Blog Docs Company Press Terms & Conditions Privacy policy | 2026-01-13T08:49:32 |
https://dev.to/jojobyte/developing-a-ui-for-dash-d-crowdnodejs-mark-iii-vanilla-html-js-css-episode-3-2k1k | Developing a UI for Dash (Ð) CrowdNode.js - Mark III [Vanilla HTML, JS & CSS] 📺 Episode 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. 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 jojobyte Posted on Jan 8, 2023 • Originally published at youtube.com Developing a UI for Dash (Ð) CrowdNode.js - Mark III [Vanilla HTML, JS & CSS] 📺 Episode 3 😵💫 # welcome # career # learning # nextjs Originally live streamed to YouTube 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 jojobyte Follow I'm insatiably curious, it's terminal. Can I borrow your cat? Joined Jun 8, 2019 Trending on DEV Community Hot I Didn’t “Become” a Senior Developer. I Accumulated Damage. # programming # ai # career # discuss Prompt Engineering Won’t Fix Your Architecture # discuss # career # ai # programming If a problem can be solved without AI, does AI actually make it better? # ai # architecture # discuss 💎 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 | 2026-01-13T08:49:32 |
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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 Vibe Coding Forem Close Code of Conduct Last updated July 31, 2023 All participants of DEV Community are expected to abide by our Code of Conduct and Terms of Service , both online and during in-person events that are hosted and/or associated with DEV Community. Our Pledge In the interest of fostering an open and welcoming environment, we as moderators of DEV Community pledge to make participation in our project and our community a harassment-free experience for everyone, regardless of age, body size, disability, ethnicity, gender identity and expression, level of experience, nationality, personal appearance, race, religion, or sexual identity and orientation. 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https://dev.to/robin-ivi/flow-like-a-river-soar-like-a-bird-559j | Flow Like a River, Soar Like a Bird - 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 Engineer Robin 🎭 Posted on Feb 10, 2025 Flow Like a River, Soar Like a Bird # beginners # career # learning # motivation Description: In life, be like a river—unstoppable, adapting to every twist and turn, carving your own path through challenges. Be like a bird—fearless, rising above setbacks, and embracing endless possibilities. Keep moving forward, keep soaring higher! Life is a journey filled with obstacles and opportunities. Be like a river—resilient, adaptable, and unstoppable, carving your own path despite the challenges. No matter how many barriers come your way, keep flowing with determination. At the same time, be like a bird—fearless, free, and always looking ahead. Rise above difficulties, embrace new heights, and never let limitations hold you back. Just as rivers find their way to the ocean and birds conquer the skies, you too can achieve greatness by moving forward with purpose and soaring beyond boundaries. 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 Engineer Robin 🎭 Follow I am a software developer, designer and development front and back end project. Location Bangalore, INDIA Education Computer science and engineering, B.tech Work Software Developer Joined Apr 11, 2023 More from Engineer Robin 🎭 Top 100 PHP Interview Questions and Answers # tutorial # learning # softwaredevelopment # php Top 50 PHP Interview Questions # php # interview # discuss # career What is SEO? A Complete Guide to Search Engine Optimization # seo # discuss # tutorial # learning 💎 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 | 2026-01-13T08:49:32 |
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