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https://highlight.io/compare/highlight-vs-site24x7 | highlight.io: The open source monitoring platform. Star us on GitHub Star Migrate your Highlight account to LaunchDarkly by February 28, 2026. Learn more on our blog. Product Integrations Pricing Resources Docs Sign in Sign up Explore highlight.io The Open Source Site24x7 alternative Session replay of your frontend, fullstack error monitoring, and powerful logging. Get started for free Live demo Highlight.io vs Site24x7 A detailed comparison of Site24x7 and Highlight.io General Unlimited Team Members Support Ticket Integrations Self-hosted Options Analytics Integrations Self-serve Setup Session Replay Session Commenting Session Sharing Privacy SDKs Embedded, fullstack error monitoring Canvas & WebGL Recording Shadow DOM Recording Error Monitoring Embedded Session Replay Error Sharing Support for Backend SDKs Agent-less architecture Logging Frontend logging Backend logging Embedded replay and stacktraces Agent-less architecture What makes us different? Highlight.io is open source and transparent Highlight.io is built with transparency at its core, with a permissive license . Not only do we work in the open, but we also expose what we're working on, on our roadmap . The fact that Highlight.io is open source also makes it easy to integrate and build your own tools on-top of it, an advantage closed-source products like Sentry can't offer. Highlight.io constantly ships new features At Highlight.io, we ship quickly. We update our changelog with a recap of new features biweekly, and we share when these features are completed in our public roadmap . Plus, our community keeps pushing us to do more, so we're constantly adding new integrations . We work hard to keep Highlight.io ahead of the curve, and we're not afraid to show off our secret sauce. Full-stack Observability While Site24x7 provides a comprehensive set of separate features for error monitoring, session replay, and logging, it does not have many session replay features such as Canvas & WebGL or Shadow DOM Recording. Highlight.io enables teams to monitor and optimize their entire tech stack, pairing server-side infrastructure with your frontend web applications. This makes Highlight.io a more comprehensive solution for developers who need to monitor their entire tech stack, in a simple, easy to implement solution. Master OpenTelemetry with our Free Comprehensive Course From fundamentals to advanced implementations, learn how OpenTelemetry can transform your engineering team's observability practices. Ideal for engineering leaders and developers building production-ready monitoring solutions. Start Learning Our customers Highlight powers forward-thinking companies. More about our customers → Don't take our word. Read our customer review section → Highlight helps us catch bugs that would otherwise go undetected and makes it easy to replicate and debug them. Max Musing , Founder & CEO Highlight weaves together the incredible, varied, and complex interactions of our users into something understandable and actionable. Kai Hess , Founding Product Designer I love Highlight because not only does it help me debug more quickly, but it gives me insight into how customers are actually using our product. Meryl Dakin , Founding Software Engineer Highlight has helped us win over several customers by making it possible for us to provide hands-on support, based on a detailed understanding of what each user was doing. Neil Raina , CTO Highlight helps us catch bugs that would otherwise go undetected and makes it easy to replicate and debug them. Max Musing , Founder & CEO Highlight weaves together the incredible, varied, and complex interactions of our users into something understandable and actionable. Kai Hess , Founding Product Designer I love Highlight because not only does it help me debug more quickly, but it gives me insight into how customers are actually using our product. Meryl Dakin , Founding Software Engineer Highlight has helped us win over several customers by making it possible for us to provide hands-on support, based on a detailed understanding of what each user was doing. Neil Raina , CTO Try Highlight Today Get the visibility you need Get started for free Product Pricing Sign up Features Privacy & Security Customers Session Replay Error Monitoring Logging Competitors LogRocket Hotjar Fullstory Smartlook Inspectlet Datadog Sentry Site24x7 Sprig Mouseflow Pendo Heap LogicMonitor Last9 Axiom Better Stack HyperDX Dash0 Developers Changelog Documentation Ambassadors Frameworks React Next.js Angular Gatsby.js Svelte.js Vue.js Express Golang Next.js Node.js Rails Hono Contact & Legal Terms of Service Privacy Policy Careers sales@highlight.io security@highlight.io [object Object] | 2026-01-13T08:49:39 |
https://highlight.io/compare/highlight-vs-logicmonitor | highlight.io: The open source monitoring platform. Star us on GitHub Star Migrate your Highlight account to LaunchDarkly by February 28, 2026. Learn more on our blog. Product Integrations Pricing Resources Docs Sign in Sign up Explore highlight.io The Open Source LogicMonitor alternative Session replay of your frontend, fullstack error monitoring, and powerful logging. Get started for free Live demo Highlight.io vs LogicMonitor A detailed comparison of LogicMonitor and Highlight.io General Unlimited Team Members Support Ticket Integrations Self-hosted Options Analytics Integrations Self-serve Setup Session Replay Session Commenting Session Sharing Privacy SDKs Embedded, fullstack error monitoring Canvas & WebGL Recording Shadow DOM Recording Error Monitoring Embedded Session Replay Error Sharing Support for Backend SDKs Agent-less architecture Logging Frontend logging Backend logging Embedded replay and stacktraces Agent-less architecture What makes us different? Highlight.io is open source and transparent Highlight.io is built with transparency at its core, with a permissive license . Not only do we work in the open, but we also expose what we're working on, on our roadmap . The fact that Highlight.io is open source also makes it easy to integrate and build your own tools on-top of it, an advantage closed-source products like LogicMonitor can't offer. Highlight.io constantly ships new features At Highlight.io, we ship quickly. We update our changelog with a recap of new features biweekly, and we share when these features are completed in our public roadmap . Plus, our community keeps pushing us to do more, so we're constantly adding new integrations . We work hard to keep Highlight.io ahead of the curve, and we're not afraid to show off our secret sauce. Full-stack Observability While LogicMonitor provides a comprehensive set of separate features for error monitoring, it does not support session replay or logging. Highlight.io enables teams to monitor and optimize their entire tech stack, pairing server-side infrastructure with your frontend web applications. This makes Highlight.io a more comprehensive solution for developers who need to monitor their entire tech stack, in a simple, easy to implement solution. Master OpenTelemetry with our Free Comprehensive Course From fundamentals to advanced implementations, learn how OpenTelemetry can transform your engineering team's observability practices. Ideal for engineering leaders and developers building production-ready monitoring solutions. Start Learning Our customers Highlight powers forward-thinking companies. More about our customers → Don't take our word. Read our customer review section → Highlight helps us catch bugs that would otherwise go undetected and makes it easy to replicate and debug them. Max Musing , Founder & CEO Highlight weaves together the incredible, varied, and complex interactions of our users into something understandable and actionable. Kai Hess , Founding Product Designer I love Highlight because not only does it help me debug more quickly, but it gives me insight into how customers are actually using our product. Meryl Dakin , Founding Software Engineer Highlight has helped us win over several customers by making it possible for us to provide hands-on support, based on a detailed understanding of what each user was doing. Neil Raina , CTO Highlight helps us catch bugs that would otherwise go undetected and makes it easy to replicate and debug them. Max Musing , Founder & CEO Highlight weaves together the incredible, varied, and complex interactions of our users into something understandable and actionable. Kai Hess , Founding Product Designer I love Highlight because not only does it help me debug more quickly, but it gives me insight into how customers are actually using our product. Meryl Dakin , Founding Software Engineer Highlight has helped us win over several customers by making it possible for us to provide hands-on support, based on a detailed understanding of what each user was doing. Neil Raina , CTO Try Highlight Today Get the visibility you need Get started for free Product Pricing Sign up Features Privacy & Security Customers Session Replay Error Monitoring Logging Competitors LogRocket Hotjar Fullstory Smartlook Inspectlet Datadog Sentry Site24x7 Sprig Mouseflow Pendo Heap LogicMonitor Last9 Axiom Better Stack HyperDX Dash0 Developers Changelog Documentation Ambassadors Frameworks React Next.js Angular Gatsby.js Svelte.js Vue.js Express Golang Next.js Node.js Rails Hono Contact & Legal Terms of Service Privacy Policy Careers sales@highlight.io security@highlight.io [object Object] | 2026-01-13T08:49:39 |
https://highlight.io/compare/highlight-vs-hyperdx | highlight.io: The open source monitoring platform. Star us on GitHub Star Migrate your Highlight account to LaunchDarkly by February 28, 2026. Learn more on our blog. Product Integrations Pricing Resources Docs Sign in Sign up Explore highlight.io The Open Source HyperDX alternative Session replay of your frontend, fullstack error monitoring, and powerful logging. Get started for free Live demo Highlight.io vs HyperDX A detailed comparison of HyperDX and Highlight.io General Unlimited Team Members Support Ticket Integrations Self-hosted Options Analytics Integrations Self-serve Setup Session Replay Session Commenting Session Sharing Privacy SDKs Embedded, fullstack error monitoring Canvas & WebGL Recording Shadow DOM Recording Error Monitoring Embedded Session Replay Error Sharing Support for Backend SDKs Agent-less architecture Logging Frontend logging Backend logging Embedded replay and stacktraces Agent-less architecture What makes us different? Highlight.io is open source and transparent Highlight.io is built with transparency at its core, with a permissive license . Not only do we work in the open, but we also expose what we're working on, on our roadmap . The fact that Highlight.io is open source also makes it easy to integrate and build your own tools on-top of it, an advantage closed-source products like HyperDX can't offer. Highlight.io constantly ships new features At Highlight.io, we ship quickly. We update our changelog with a recap of new features biweekly, and we share when these features are completed in our public roadmap . Plus, our community keeps pushing us to do more, so we're constantly adding new integrations . We work hard to keep Highlight.io ahead of the curve, and we're not afraid to show off our secret sauce. Full-stack Observability While HyperDX provides a set of separate features for error monitoring, session replay, and logging, it lacks some more comprehensive features. Highlight.io enables teams to monitor and optimize their entire tech stack, pairing server-side infrastructure with your frontend web applications. This makes Highlight.io a more comprehensive solution for developers who need to monitor their entire tech stack, in a simple, easy to implement solution. Master OpenTelemetry with our Free Comprehensive Course From fundamentals to advanced implementations, learn how OpenTelemetry can transform your engineering team's observability practices. Ideal for engineering leaders and developers building production-ready monitoring solutions. Start Learning Our customers Highlight powers forward-thinking companies. More about our customers → Don't take our word. Read our customer review section → Highlight helps us catch bugs that would otherwise go undetected and makes it easy to replicate and debug them. Max Musing , Founder & CEO Highlight weaves together the incredible, varied, and complex interactions of our users into something understandable and actionable. Kai Hess , Founding Product Designer I love Highlight because not only does it help me debug more quickly, but it gives me insight into how customers are actually using our product. Meryl Dakin , Founding Software Engineer Highlight has helped us win over several customers by making it possible for us to provide hands-on support, based on a detailed understanding of what each user was doing. Neil Raina , CTO Highlight helps us catch bugs that would otherwise go undetected and makes it easy to replicate and debug them. Max Musing , Founder & CEO Highlight weaves together the incredible, varied, and complex interactions of our users into something understandable and actionable. Kai Hess , Founding Product Designer I love Highlight because not only does it help me debug more quickly, but it gives me insight into how customers are actually using our product. Meryl Dakin , Founding Software Engineer Highlight has helped us win over several customers by making it possible for us to provide hands-on support, based on a detailed understanding of what each user was doing. Neil Raina , CTO Try Highlight Today Get the visibility you need Get started for free Product Pricing Sign up Features Privacy & Security Customers Session Replay Error Monitoring Logging Competitors LogRocket Hotjar Fullstory Smartlook Inspectlet Datadog Sentry Site24x7 Sprig Mouseflow Pendo Heap LogicMonitor Last9 Axiom Better Stack HyperDX Dash0 Developers Changelog Documentation Ambassadors Frameworks React Next.js Angular Gatsby.js Svelte.js Vue.js Express Golang Next.js Node.js Rails Hono Contact & Legal Terms of Service Privacy Policy Careers sales@highlight.io security@highlight.io [object Object] | 2026-01-13T08:49:39 |
https://refine.dev/blog/lovable-ai/#:~:text=,the%20Options | Lovable.dev - AI Web App Builder | Refine Skip to main content Documentation Tutorial Templates Integrations Blog Refine Home Search ⌘K Loading... Explore Refine AI The next-gen approach to build enterprise-ready React-based internal tools with the power of GenAI. Learn more Back to blog Share on: February 12, 2025 14 min read Lovable.dev - AI Web App Builder Update (August 2025): This article has been updated to include information about Lovable.dev v2, including new features, improvements, and enhanced AI capabilities. Introduction Building software has traditionally been a complex and time-consuming process, often requiring teams of developers to carefully craft every line of code. But what if I could drastically simplify this process? Enter Lovable.dev , an AI-powered app builder that’s designed to revolutionize how we approach software development. In this article, I’ll explore what makes Lovable AI code generation a cool tool for developers. We’ll dive into its features, pricing, and real-world use cases, and also discuss where it shines (and where it might fall short). Whether you’re a startup founder, a solo developer, or part of a larger team, this guide will help you understand how it can fit into your development workflow. Steps we will cover: Introduction What is Lovable AI? How to use lovable.dev? 1. Sign Up and Log In 2. Define Your Project 3. Customize the Output 4. Deploy Your App Pricing - How much does it cost? Messaging Limits: How Many Messages Can You Send? Free Plan: What’s Included? Paid Plans: What Are the Options? AI code generation vs traditional development Limitations of AI-Driven Code Generation Lovable v2 When Does Lovable.dev Make Sense? Lovable.dev Alternatives More Refine technical articles on AI-Powered Development Conclusion What is Lovable AI? Let me put it this way, lovable dev is like having a helpful team member for your app development journey. It’s an AI-powered system that promises to remove the pain of app creation by generating the skeleton of your project with some basic instructions. It acts as your AI co-engineer, enabling you to generate fully functional apps simply by describing what you need. From building your app’s foundation to integrating APIs and managing deployment,it handles it all with remarkable efficiency. You instruct it what you wish to build, and it does the heavy lifting of building the groundwork for you. It supports popular frameworks like React and TypeScript and even integrates with tools like Stripe and Supabase. So you can bypass the hours of boilerplate code and jump straight into polishing and adding your own flair. Now, who is this for? If you're: A developer trying to save time at the start of a project, Someone testing an idea and needing a functional prototype quickly, A small group looking for efficient ways of developing apps, or A beginner trying to dip your toes into app development without needing to deal with complex setups, then Lovable might be worth a closer look. It’s all about simplifying the process and letting you focus on the fun (and challenging) parts of development. What tech stacks does Lovable know? Lovable builds front-end using React, Tailwind & Vite, and can connect to OpenAPI backends. Support for data persistence and authentication is in alpha, using Supabase. How to use lovable.dev? Like other AI web app builders, it has integration to Anthropic's Claude, and in practice, it’s not significantly different from using tools like Claude Chat or ChatGPT for generating. 1. Sign Up and Log In Go to Lovable.dev and create an account. You’ll land on a prompt field that reads, “Ask Lovable to create an…”. 2. Define Your Project Start by entering a natural language description of what you want to build. For example: “Build a blog web app with Next.js” Lovable will process your input and generate the foundational code for your project 3. Customize the Output Your app is given a shareable link so that you can see it live in action. After Lovable AI has generated the base of your app, you can personalize it. I normally start by modifying the components—adding or removing features as required. If the user interface doesn't feel just right, I spend some time refining it or altering the logic to suit my exact requirements. Lovable also provides easy editing with basic tools like undo and version history. You can experiment with changes, roll back if needed, and improve your project step by step. And, if you prefer, you can directly edit code changes in GitHub or your favorite IDE, and Lovable will synchronize everything. One thing that I particularly love is the ease with which it lets you link APIs. Simply tell it like, "Set up Stripe for payments" or "Connect this with OpenAI for text generation", and it does the grunt work for you. It is literally like having an extra pair of hands to take care of the tedious work so that I can focus on the fun parts of building. 4. Deploy Your App When your app is ready, deploy it effortlessly. Lovable integrates seamlessly with platforms like Netlify( Congrats on Netlify to support most of AI agent tools💙), making deployment as simple as clicking a button. Your app gets a shareable URL so you can see it live in action. Pricing - How much does it cost? Lovable AI follows a freemium model, meaning you can start for free but might need to upgrade depending on your usage. Lovable uses the same kind of token system as other AI-based tools. Every time you create, edit, or ask for revisions, you use up tokens. The more complex the request, the more tokens are required. Tokens are the AI's fuel. You'll require less if you're just making small changes. You'll require more if you're building an entire app from scratch. Monitoring your tokens closely saves you money while you continue to get the most out of it. Messaging Limits: How Many Messages Can You Send? Lovable.dev has a daily and monthly message limit , mostly because LLMs (Large Language Models) are expensive to run. To keep things running smoothly, Lovable limits how many messages you can send based on your plan. Free Plan: What’s Included? If you're just exploring, the free plan gives you: 5 free messages per day Maximum of 30 messages per month Just keep in mind: Unused messages don’t roll over. If you don’t use your daily quota, it’s gone—no carrying it over to the next day or month. NOTE Sometimes, using more AI tokens to guide the AI properly results in better long-term outcomes. Well-structured guidance leads to higher-quality code and more efficient development. Paid Plans: What Are the Options? If you need more than the free plan offers, Lovable ai offers several paid tiers , each with an increased message allowance. All paid plans include: 5 free daily messages (same as the free plan) Another monthly message quota Here’s a quick breakdown: Plan Daily Messages Monthly Messages Total Messages per Month Starter 5 (up to 150) 100 250 Launch 5 250 400 Scale 1 5 500 650 Scale 2 5 1,000 1,150 Scale 3 5 1,500 1,650 Scale 4 5 2,000 2,150 Scale 5 5 3,000 3,150 Scale 6 5 4,000 4,150 Scale 7 5 5,000 5,150 The higher the plan, the more messages you can send —so if you're planning to use Lovable extensively, you’ll probably need to upgrade. TIP One cool thing: "Ask the AI to fix" messages don’t count toward your usage limit , so you can make adjustments without worrying about burning through your quota. AI code generation vs traditional development Building software once meant doing everything manually—from framework installation to dependency management and handling deployments. It’s a kind of complex process but one that is often traded at the cost of time and complexity. AI-powered tools are changing this by automating the boilerplate tasks so that developers can start implementing meaningful features right away. Project Setup: One of the biggest differences is in project setup. Normally, you would begin by choosing a framework, installing dependencies, and setting up your project before you've even written one feature. AI web app builders let you skip that step—you simply inform it what you need, and it generates a working project configuration in a matter of seconds. Instead of hours of setup, you're immediately in a place to construct. Deployment : Deployment is also a major dividing line between AI-driven and manual development. With a manual process, deploying an app live usually means arranging hosting, setting up CI/CD pipelines, and debugging along the way. AI-powered platforms, nevertheless, attempt to remove these pain points by offering pre-designed deployment options with little effort needed. While not a total replacement for full customization, it definitely makes it easier for most use cases. Lovable v2: What’s New Lovable v2 brings several exciting improvements over the original version. It introduces a more intuitive user interface, faster AI-generated code, and enhanced support for additional frameworks and integrations. Version 2 also improves error handling and debugging suggestions, making it easier to improve and deploy apps quickly. Another notable feature is the expanded API integration options, allowing developers to connect with more third-party services seamlessly. A standout addition in Lovable v2 is multiplayer coding , which allows multiple developers to collaborate on the same codebase in real time. This feature enhances teamwork, reduces merge conflicts, and makes pair programming or group development sessions much more seamless. Overall, Lovable v2 focuses on speed, flexibility, and a smoother development experience. Limitations of AI-Driven Code Generation Let's be realistic—AI in software development is in its early days. AI hype has reached stratospheric levels over the past year, and over the past five months, AI-powered web code generators have started to be used seriously. The weaknesses I will enumerate below hold good today, but that will not necessarily be true tomorrow. Who can tell? Six months from now, these issues could be completely eliminated. When that happens, we will argue again. Code Quality and Optimization : AI-generated code is not optimized. Alright, it gets you up and running quicker, but the output generated can sometimes be bloated, inefficient, or simply not following best practices. A human developer still needs to intervene, review and optimize the generated code to make it maintainable and performant. Limited Customization : They are great at boilerplate generation, but the moment you need anything that falls outside of their standard templates, you can be stuck with rigid frameworks or hand-coding huge chunks of code. AI tools are great at generic applications but fall short when deep customization is required. Debugging Complexity: Debugging AI-generated code is difficult because you did not create it yourself. Debugging errors is similar to trying to understand someone else's thought process—except that "someone" is an AI, making debugging even more complex. Scalability Issues: AI-generated apps can work for small projects, but as complexity grows, it might be challenging to scale and maintain the codebase. If the AI-generated architecture is not scalable, developers can struggle when they attempt to scale apps efficiently. Security Threats: AI models aren't necessarily following best practices around security, and they may generate code with issues that an experienced developer would otherwise pick up. Blind reliance on AI-generated authentication, API integrations, or database configurations can fail if there are not suitable security audits performed. Security vulnerabilities introduced by AI-generated code can be catastrophic. Over-Dependence on AI: AI software is meant to enhance, not replace, software developers. Over-reliance on AI-generated code that is not understood will lead to a knowledge gap, whereby developers will be increasingly dependent on the tool rather than improving their coding skills. This, in the long term, can lead to poorer problem-solving abilities and lack of advanced technical skills. The Requirement for Human Supervision At the end of the day, AI-powered development tools are just that—tools. They can help enhance productivity, remove friction from the start of a project, and even help with brainstorming, but they don't replace veteran developers who possess the capability to optimize, and scale applications correctly. AI can be a great assistant, but human judgment is still necessary. That being said, technology moves fast. Today’s AI code might have all these problems, but six months from now we might be looking at a whole different set of circumstances. At which time, we’ll be having different discussions about the next set of developments. When Does Lovable.dev Make Sense? For developers who need to get up and running quickly, Lovable.dev can be a great choice. It is not intended to replace traditional development but to enable the early stages of a project to be faster and more streamlined. For instance, if you’re constructing a bigger application, AI-generated scaffolding can give you a solid foundation, with you focusing on business logic and customization rather than boilerplate configuration. It’s similar to starting a long journey with a head start—you’re skipping the most tedious part and diving into the real work. It’s also fantastic for rapid prototyping. If you have an idea you want to test, Lovable.dev allows you to have a working prototype up and running in minutes, rather than days. Rather than having to invest time in setting up a project, you can move on to iterating and testing. For business tools or internal projects, where speed matters more than full control, AI-generated code can save time. Instead of coding an inventory manager or dashboard from scratch, you get a working version in seconds and tweak it as needed. And of course, there are personal projects—the ones you keep delaying because setting them up feels like a hassle. AI-generated code isn’t a perfect solution, but it’s a handy tool when you want things to be quick and easy. Whether you’re building a serious app or just testing an idea, skipping the boring setup can make development more enjoyable. Lovable.dev Alternatives If you’re exploring alternatives to Lovable.dev, there are a few other AI-powered app development tools worth considering. Each comes with its own strengths, depending on your needs—whether it’s rapid prototyping, AI-assisted UI generation, or collaborative coding. I’ll cover these in more detail in a separate article, but here’s a quick overview: Replit AI Agent : Replit’s AI-powered coding assistant helps developers generate and refactor code directly in their IDE. It’s particularly useful for collaborative coding and AI-assisted debugging. Vercel V0 : Vercel’s v0 tool focuses on UI generation, converting natural language prompts into Tailwind CSS and React components. It’s best suited for front-end developers looking to streamline their design-to-code workflow. Bolt.new : Similar to Lovable, Bolt.new helps developers generate full-stack app structures using AI, automating much of the boilerplate work. Each of these tools takes a different approach to AI-assisted development, so the best choice depends on your specific workflow—whether you need end-to-end scaffolding, UI generation, or AI-powered code assistance. More Refine technical articles on AI-Powered Development Vercel v0 Replit AI Code Editor Bolt AI App Builder Conclusion Lovable.dev is not just another AI tool, but a new way of developing web applications. By handling the setup and boilerplate in advance, you get to cut straight to the fun: building and iterating on your app. Whether you're prototyping a new idea, creating an internal business application, or finally working on that personal project you've been delaying, Lovable.dev streamlines the process so you can get started faster. Related Articles What is "Vibe Coding" Ever had a half-formed idea that you just wanted to see in motion, without the usual development overhead? June 24, 2025 Replit AI Agent - AI Web App Builder We'll explore how Replit helps streamline the development process from generating project scaffolding to deploying applications. February 17, 2025 Purpose-Built AI Agents - The Future of Internal Enterprise Apps How AI shapes the internal enterprise software development with purpose-built agents. June 2, 2025 ai Introduction What is Lovable AI? How to use lovable.dev? 1. Sign Up and Log In 2. Define Your Project 3. Customize the Output 4. Deploy Your App Pricing - How much does it cost? Messaging Limits: How Many Messages Can You Send? Free Plan: What’s Included? Paid Plans: What Are the Options? AI code generation vs traditional development Lovable v2: What’s New Limitations of AI-Driven Code Generation When Does Lovable.dev Make Sense? Lovable.dev Alternatives More Refine technical articles on AI-Powered Development Conclusion Refine Inc. 447 Sutter St 405, San Francisco info@refine.dev Resources Documentation Tutorials Blog Product Templates Integrations Company About Contact Us Join us on Refine Inc. 447 Sutter St 405, San Francisco info@refine.dev Join us on Terms & Conditions Privacy Policy License © 2026, Refine from SF to wherever you are | 2026-01-13T08:49:39 |
https://www.fine.dev/blog/ai-coding-tools-all#top-32-ai-coding-tools-and-assistants | The Top AI Coding Tools and Assistants in 2024 Home Docs Changelog Pricing Sign in Get started -> Menu Home Docs Changelog Pricing <- Go Back The Top AI Coding Tools and Assistants in 2024 Do you find yourself going crazy with all the different AI coding tools available? There are so many (here we list 32, but more are announced every week), it's hard to cut through the noise and understand which are the most useful AI coding tools. One thing is for certain: in today's fast-evolving software development landscape, AI coding tools are becoming essential for enhancing productivity, streamlining workflows, and improving code quality. Startups and agencies are looking to adopt the best AI coding tool to help them ship faster, better software and gain a competitive edge. This guide reviews 32 AI coding assistants available in 2024, discussing their features, pricing, and accessibility. Of course, we encourage you to check out Fine , the end-to-end AI coding tool designed to slot in to your team's collaborative workflows. Whilst many of the platforms listed focus on one aspect (code gen, testing, etc) - Fine is the AI Coding tool offering it all. Table of Contents Introduction Top 32 AI Coding Tools and Assistants Available for Immediate Use Fine.dev GitHub Copilot ChatGPT Amazon CodeWhisperer Tabnine Replit AI (Ghostwriter) Codiga Sourcery DeepCode (Snyk) CodeWP AIXcoder Cody (Sourcegraph) Figstack Android Studio Bot Amazon CodeGuru Security Mutable AI Ponicode Otter.ai Snyk Cursor Bolt Codium Qodo Void Editor Honeycomb Pear AI Magic AlphaCode Code Llama StableCode Visual Copilot Devin Conclusion FAQs Introduction Artificial Intelligence (AI) has revolutionized software development, with a plethora of coding tools now available to assist developers. Whether it's automating repetitive tasks, suggesting code improvements, or enhancing security, AI coding assistants have something to offer for every level of developer. Top 32 AI Coding Tools and Assistants Here’s a comprehensive list of the top AI coding assistants in 2024, divided into categories based on availability. Available for Immediate Use Fine - End-to-end AI coding assistant for every stage of the dev lifecycle, with full context awareness. Fine learns your codebase via the GitHub integration to minimize errors and maximize usefulness. It can turn issues into PRs; add docs, tests and logs; answer questions about your code; make revisions to PRs or summarize them; review your code and more. Based in the cloud, it's available via mobile as well as desktop. GitHub Copilot – Offers real-time code suggestions using OpenAI Codex. It helps developers write code more efficiently by predicting entire lines or blocks of code based on the context and the developer's intent. GitHub Copilot supports a wide range of programming languages and is integrated into popular development environments like Visual Studio Code, making it accessible and easy to use. Available plans start at $10/month. Pricing : $10/month (individual), $19/month (business) ChatGPT – Versatile AI assistant capable of code generation and debugging. A free version is available, while ChatGPT Plus costs $20/month. ChatGPT doesn't integrate with your codebase, so you'll need to copy and paste between your editor and the site. Pricing : Free, $20/month for Plus Amazon CodeWhisperer – Integrates seamlessly with AWS services, providing real-time code completions. Free tier available; Pro plan starts at $19/user per month. Pricing : Free, $19/user per month for Pro Tabnine – AI-powered code completion with a focus on privacy. Pricing : Free, $12/month for Pro Replit AI (Ghostwriter) – Collaborative cloud-based IDE offering code generation and debugging features, particularly useful for those with no coding experience or already using Replit. Pricing : $10/month for Core, $33/user per month for Teams Codiga – Real-time static code analysis tool with a free tier; Pro plan costs $14/month. Pricing : Free, $14/month for Pro Sourcery – AI code reviewer. Improves code quality through automated refactoring. Uses GPT4-turbo Pricing : Free for open-source, $12/month for Pro DeepCode (Snyk) – Detects security vulnerabilities in real-time. Free for individuals, with team plans starting at $27/month. Pricing : Free for individuals, $27/month per user CodeWP – AI-powered code generator specifically for WordPress. Pricing starts at $18/month. Pricing : Free, $18/month for Pro AIXcoder – Offers intelligent code completion with support for multiple IDEs. Free and custom enterprise plans available. Pricing : Free, custom pricing for enterprises Cody (Sourcegraph) – Supports project-wide code assistance, offering features like code navigation, large-scale search, and contextual help across entire projects, ensuring that developers can maintain consistency and quality across their entire codebase. Pricing : Free option available, paid plans start at $9 per month. Figstack – Assists with code documentation and optimization, priced at $10/month after a free trial. Pricing : $10/month after free trial Android Studio Bot – Available for free as part of Android Studio. Pricing : Free Amazon CodeGuru Security – Helps optimize code security, free for the first 90 days. Post-trial pricing is $10/month. Pricing : $10/month after first 90 days Mutable AI – Creates a wiki for your codebase. Pricing : Free for open source, basic plan starts at $2 per month. Snyk – Offers code and dependency vulnerability detection. Free for individuals; team plans start at $25/month. Pricing : Free for individuals, $27/month for teams Cursor – Cursor is a powerful AI coding assistant designed to streamline the software development process by providing intelligent code completions, contextual code suggestions, and explanations. It supports a wide range of programming languages and integrates smoothly with popular IDEs, making it an efficient tool for both individual developers and teams. Cursor aims to enhance productivity by reducing the time spent on repetitive coding tasks, offering automated code fixes, and facilitating collaboration. Free for basic use; premium features pricing varies. – Free for basic use; premium features pricing varies. Pricing : Varies Bolt – Although commonly described as a Cursor and V0 killer, Bolt seems to be a ChatGPT for front-end development. It's built by Stackblitz, the cloud-based web-development platform that lets you write, run and debug frontend code in your browser. Pricing : Free to start with paid subscriptions available in the app. Codeium – In-IDE AI coding assistant. Offers autocomplete, chat, and inline commands. Pricing : Free plan available, paid plans start at $10 per month. Qodo – AI coding tool that emphasis quality code, helping developers generate, test and review code. Pricing : Free version available, or $19 per month. Enterprise options available. Void Editor – Void describe themselves as an Open-Source alternative to Cursor offering greater privacy. Their logo seems similar to squarespace. Offers the ability to use the tab button to autocomplete the code you're writing - similar to GitHub Copilot. Waitlist access only, no pricing information available. Honeycomb – AI coding tool announced in August 2024 as a YC-backed startup, but the announcement and website have since disappeared. Still viewable on X . Pear AI – AI-powered coding assistant focused on improving development workflows, available at Pear AI. Built as a fork of Continue, which is a fork of VSCode, leading to controversy during their launch. Pricing : Free plan available requiring your own API keys. "Junior" plan for $15 per month includes limited credits for Claude and GPT4o with more credits available for purchase.. Magic – Requires a waitlist to access during the early access phase. AlphaCode – Limited to research and special projects. Code Llama – Open-source, but some hosted services may be restricted. Stable Code Alpha – Available as part of stability.ai membership. Visual Copilot – AI coding assistant for design-to-code. Import designs from Figma and turn into code. Free plan available with 4K context window and 20 code generations; Basic plan $19 per month, Growth plan $39 per month. Devin – Available only in early access; requires joining the waitlist. Conclusion AI coding tools continue to evolve, offering unique features to boost developer productivity. From real-time code suggestions to comprehensive security checks, developers can choose from a variety of options based on their needs and budget. FAQs Q: Are there any free AI coding tools? A: Yes, many tools offer free tiers or trials, including Fine. Q: How can I access Devin or Magic? A: Both tools require joining a waitlist for early access. Q: Are these tools suitable for beginners? A: Yes, many of these tools cater to all skill levels, providing resources and support for new developers. Important note: Information about platforms, their availability, features and pricing, is based on an automated internet search and may be inaccurate or out-of-date. Last updated: 2024-10-10 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 | 2026-01-13T08:49:39 |
https://www.youtube.com/watch?v=zTVNxdHI2H8 | Cursor AI Code Editor | AI Review - YouTube 정보 보도자료 저작권 문의하기 크리에이터 광고 개발자 약관 개인정보처리방침 정책 및 안전 YouTube 작동의 원리 새로운 기능 테스트하기 © 2026 Google LLC, Sundar Pichai, 1600 Amphitheatre Parkway, Mountain View CA 94043, USA, 0807-882-594 (무료), yt-support-solutions-kr@google.com, 호스팅: Google LLC, 사업자정보 , 불법촬영물 신고 크리에이터들이 유튜브 상에 게시, 태그 또는 추천한 상품들은 판매자들의 약관에 따라 판매됩니다. 유튜브는 이러한 제품들을 판매하지 않으며, 그에 대한 책임을 지지 않습니다. var ytInitialData = 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https://refine.dev/blog/bolt-new-ai/#:~:text=4 | Bolt.new - AI Web App Builder | Refine Skip to main content Documentation Tutorial Templates Integrations Blog Refine Home Search ⌘K Loading... Explore Refine AI The next-gen approach to build enterprise-ready React-based internal tools with the power of GenAI. Learn more Back to blog Share on: February 5, 2025 12 min read Bolt.new - AI Web App Builder This article was last updated on August 1, 2025, to add a note on security best practices when working with AI-generated code. Introduction Let’s face it — building web apps can sometimes feel like a long, uphill climb. Between setting up environments, writing repetitive boilerplate code, and troubleshooting bugs, it’s easy to see why developers are always on the lookout for faster, more efficient ways to work. That’s where AI-powered app builders steps in. Bolt.new, an AI-powered web app builder developed by the StackBlitz team, aims to redefine how developers approach building applications by making the process faster and effortless. In this article, I’ll walk you through what Bolt.new is, its key features, and why AI-powered web development platforms will be a game-changer for anyone in web development. Steps we'll cover in this article: What is Bolt.new AI? How to use Bolt.new? Pricing - How much does it cost? Traditional development vs AI-powered code generation When to Use Bolt.new? Limitations Bolt.new Alternatives What is Bolt.new AI? At its core, it’s an AI-powered app builder that helps developers who want to simplify the way they create web applications. With just a few prompts, you can generate the foundation of your app — no endless configurations or setups required. Who’s it for? If you’re: Working on a complex app and need a quick way to generate the foundational boilerplate to jump straight into scaling and customization, A web developer looking to save time, Part of a small team needing a fast way to prototype ideas, or Someone who wants to test an app concept without a steep learning curve, then Bolt.new is built with you in mind. It’s all about making web app development more accessible, efficient, and, let’s be honest, a little more fun. The magic behind Bolt.new is its use of AI-powered code generation by integration Anthropic's Claude . By simply describing what you want to build, you can get a fully functional app structure in minutes. How to use Bolt.new? Getting started with Bolt.new is a simple. In a matter of a few clicks, you can have an app in motion, with none of the usual environment configuration and boilerplate-code-writing headaches involved. 1. Open the Bolt.new website Head over to bolt.new . There, a clean UI waits for your use, with no complex installation, no secondary download. 2. Describe your app concept At the heart of Bolt.new is its AI feature. All one has to do is simply enter a quick description of an app one wants to build, for example: Type: “I'd prefer an blog app with Astro.” The app will produce the app’s layout and code in a matter of seconds. It’s like describing to a friend what you need and having them organize most of the work for you. 3. Customize your Code Once the app skeleton is produced, a full-fledged code editor will become accessible to you. There, you can: Adjust the format Add custom feature Integrate npm packages inbuilt in the platform It’s designed to enable you to build and update your app in your web browser. 4. Test your app Bolt.new comes with a built-in runtime environment. There is no installation of servers and no configuration to undertake: simply press "Run," and your app will run in your hands 5. Deploy your app with ease Immediate deployment options are at your fingertips, and your app can be shared with a live URL in mere clicks. There is no hosting configuration to concern yourself with, no deployment pipelines to navigate. With its native Netlify integration, deploying your app is a matter of clicks: Click the Deploy button Bolt.new will have everything taken care of in the background, including hosting settings. Within moments, a live URL will be delivered, hosted at Netlify, and ready to share with everyone. Pricing - How much does it cost? When working with AI platforms, having an awareness of tokens is critical in effectively using the platform and maximizing its capabilities. Tokens have a direct bearing in AI processing your request, generating output, and even pricing. Bolt.new offers free daily tokens to get you started with AI-powered features. Once you’ve used up your daily token limit, these features will be paused until your tokens reset the next day, or you can upgrade to a higher plan for continued access. OK but what is a token? A token is simply a small portion of text. For example: The sentence “AI helps developers.” would be broken down into tokens like “AI”, “helps”, “developers”, and “.” — each word and punctuation mark counts as a token. AI models like Bolt.new’s backend (LLMs) process text as tokens. They break down your input, analyze these pieces, and predict the next token(s) to create a response, whether that’s code or text. Token Limits: How Do They Work AI systems can only handle a certain number of tokens at once, and this total includes: The input that you enter, for example, a long query or a long app description The output generated, for instance, a code suggestion, or an app blueprint This means that larger output or larger input can hit token limits in a shorter period, and possibly even requires partitioning work into smaller segments. Token Costs Using an AI-powered platform like Bolt.new involves costs based on token usage. The general rule is simple: Fewer tokens = Less expense The number of processed tokens will have a direct bearing on cost, and, subsequently, efficiency with your I/O is critical. Here’s a calculation for token costing in a range of work in codes: Task Approx. Token Cost Simple function (10 lines) 50-100 tokens Medium script (50 lines) 300-500 tokens Complex logic (100+ lines) 1,000+ tokens Full application (~1,000 lines) 8,000+ tokens Why tokens matter in your project? As your app becomes increasingly complex, so will the number of tokens your app will use to run. For example: Writing a simple helper function (for instance, a quick-fire API request) can involve 50-100 tokens. Generating the logic for a complete app can require a thousand of tokens, and that can become a significant expense. By being careful in your use of tokens, you can maximize your project's efficiency. Be careful with your tokens Understanding how tokens work can allow one to: Write efficient prompts for AI tools Keep your projects budgeted, even when they blow out Make better choices about your work in generating codes and its form and development With this in consideration, you're in a position to use Bolt.new to its full potential for your web development activity. ::: Traditional development vs AI-powered code generation Let’s take a break and compare AI-powered code generation with traditional development methodologies. In case you have been developing "the traditional" manner(most probably:D), then you may enjoy these comparisons at once. Manual Configuration and AI-Creation Traditional development involves a lot of setup work—choosing a framework, including dependencies, creating environments, and all that sort of thing. With Bolt's AI-driven creation, simply speak your desire, and it will build your base for you in seconds. No hands-on, instant output. Longer Deployment Cycles and On-Demand Deployment In traditional workflows, deploying an app can become a multi-step process. You can have to navigate hosting configuration, pipeline configuration, and debugging in between. All of that is bypassed with immediate deploying in Bolt via Netlify integration. When to Use Bolt.new? Bolt.new shines in scenarios where both speed and usability are crucial, helping you cut through repetitive tasks and get straight to building what matters. Let me walk you through some real-world examples of how this tool can make your life easier. Boilerplate for Complex Apps Even for larger, more complex applications, Bolt.new can be a lifesaver when it comes to generating the foundational boilerplate. Instead of spending hours setting up the basic structure, you can jump straight into fine-tuning and scaling your app. It’s like getting a head start in a marathon—most of the groundwork is already done, so you can focus on the challenging, rewarding parts of development. Rapid Prototyping Ever had a brilliant app idea in the middle of the night but didn’t have the time or energy to go through the full setup process? It’s as if you’re sketching out your vision, but instead of paper, you get working code. Perfect for testing concepts quickly without wasting time. Business Apps If you’re working on a business app under a tight deadline, Bolt.new can save you tons of time. For example, imagine you company needs a simple inventory management system. Rather than starting everything from scratch, Bolt.new helps you generate the basic structure and features in seconds. Personal Projects We all have those side projects that we’ve been meaning to start but keep putting off because setting them up feels overwhelming. With AI app generators, you’ve got no excuses left! For instance, I finally started working on my “Kitesurf Spot Recommendation App 🏄” after being lazy for months. Bolt.new made it so easy to get started that I couldn’t delay it any longer—it practically forced me to bring my idea to life. Whether it’s a complex app or a quick demo, it takes care of the heavy lifting so you can focus on what truly matters: creating something amazing. 🚀 Limitations Any tool isn't perfect, and with its caveats. I'd like to talk about a few areas in which it won't necessarily be a best fit. Scalability If you’re dealing with a large, complex project with many requirements, sometimes Bolt.new can fall a little short. For example, when developing a multi-faceted enterprise app with a tons of integrations, AI-code generators can fall a little short for your requirements. It’s a little similar to a Swiss Army knife: incredibly useful for most work, but for a big, heavy-duty one, a specific tool will most likely serve you best. Advanced Customization Bolt.new is ideal for a strong foundation, but when you have a lot of specific detail involved—like a very specific algorithm, a completely custom UI, etc.—you will most likely have a work in front of you. It’s kind of working with a prefab house: efficient and speedy, but when actually building a real one-off, sometimes you have to summon an architect (in my case, your own custom code). These limitations don’t take away from what Bolt.new does best, but it’s good to know where it shines and where it might fall short. For quick and efficient development, it’s an incredibly powerful tool. For massively customized work, you’ll most likely have to use it in combination with traditional development methodologies, though. Just keep in mind: no tool can possibly work for everyone;D Faster Prototyping: How it reduces development time for MVPs and prototypes. Lower Learning Curve: Makes advanced tools accessible to less experienced developers. Collaboration: Enables teams to share projects instantly via URLs. Seamless Workflow: Combines development, testing, and deployment into one platform. ::: A Note on Security While AI-powered builders like Bolt.new are incredibly efficient for generating code, it’s crucial to treat the output as a first draft from a talented but junior developer. Always review the generated code for potential security vulnerabilities, especially in applications that handle user data or authentication. Pay close attention to things like input sanitization, API key exposure, and proper error handling. Integrating AI into your workflow should augment, not replace, your critical review and security best practices. Bolt.new Alternatives If you’re looking for alternatives to Bolt.new, three important options for similar requirements in AI-powered app development include. I'll cover this tools in a separate article later on. Replit Agent: Replit’s AI-powered, enables collaboration and development for developers and helps them work in an effective manner. Lovable: Lovable focuses its work in simplifying app development through AI-powered workflows. Vercel V0: Vercel’s v0 AI tool is designed specifically for creating React and Tailwind CSS UI components out of natural language definitions. Each of them have its respective strengths, and selecting one will rely on your individual requirements for your project, rapid prototyping, deploying at a larger level, or working together in a group environment. More Refine technical articles on AI-Powered Development Lovable AI App Builder Replit AI Code Editor Vercel v0 Conclusion Bolt.new is more than just a tool—it’s a fresh take on how we build web apps. By taking care of the tedious setup and boilerplate, it lets you focus on what really matters: creating something impactful. Whether you’re prototyping a new idea, building for a business, or tackling a side project you’ve been putting off, Bolt.new makes it faster and easier. Why not give it a try and see how it fits into your workflow? Related Articles Quality Code Generation: Multi-Agent Systems and Token Dilution How Refine AI's multi-agent system architecture effectively tackles token dilution, drastically improving code generation quality. June 12, 2025 Vercel v0 - AI-Powered UI Generator Let's explore Vercel v0, an AI-powered UI generator that helps developers quickly scaffold UI elements. March 6, 2025 Code Comments: The Good, The Bad, and The Hilarious A guide to writing comments that help (and avoiding the ones that hurt), with a collection of the funniest gems from real codebases. August 15, 2025 ai Introduction What is Bolt.new AI? How to use Bolt.new? Pricing - How much does it cost? OK but what is a token? Token Limits: How Do They Work Token Costs Why tokens matter in your project? A Note on Security Bolt.new Alternatives More Refine technical articles on AI-Powered Development Conclusion Refine Inc. 447 Sutter St 405, San Francisco info@refine.dev Resources Documentation Tutorials Blog Product Templates Integrations Company About Contact Us Join us on Refine Inc. 447 Sutter St 405, San Francisco info@refine.dev Join us on Terms & Conditions Privacy Policy License © 2026, Refine from SF to wherever you are | 2026-01-13T08:49:39 |
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https://dev.to/dw2kim/developer-expectation-vs-reality-5970 | Developer Expectation vs Reality - 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 Dae Won Kim Posted on Apr 25, 2021 Developer Expectation vs Reality # hacker # developer # security # hacking If you like this video, you can follow me on YT: https://www.youtube.com/channel/UC20eBosE7nW0uWqh9np_znQ 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 Isabella Isabella Isabella Follow 💻 focused in my future | frontend developer as a profession, streamer in the spare time Location São Paulo, Brazil Work Frontend Developer at Mercado Livre Joined May 11, 2021 • May 12 '21 Dropdown menu Copy link Hide Just like this! hahaha Like comment: Like comment: 3 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 Dae Won Kim Follow Hello!👋. I’m a mobile engineer living in Toronto, Canada 🇨🇦 Currently, I’m in love with Flutter development, and I’d like to share all my knowledge and info. Location Toronto, Ontario Education University of Waterloo - BCS Work Senior Engineer II at HomeX Joined Apr 8, 2021 More from Dae Won Kim My Monday Starts Like... # programming # jokes # life # developer 💎 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 | 2026-01-13T08:49:39 |
https://vibe.forem.com/techresolve | Darian Vance - Vibe Coding 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 Vibe Coding Forem Close Follow User actions Darian Vance Lead Cloud Architect & DevOps Strategist with 12+ years in the trenches. Founder of TechResolve. I turn complex cloud chaos into systems you can actually understand and manage. Joined Joined on Dec 26, 2025 Personal website https://techresolve.blog/ twitter website Education BS in Computer Science & 12 Years of Production Outages Work Founder & Lead Architect at TechResolve More info about @techresolve Badges Writing Debut Awarded for writing and sharing your first DEV post! Continue sharing your work to earn the 4 Week Writing Streak Badge. Got it Close Skills/Languages Cloud Architecture (AWS/Azure), Kubernetes, Terraform, Python, Docker, Linux System Administration, CI/CD Automation, Bash Scripting, ITAM/SAM Strategy. Currently learning Integrating LLMs into DevOps pipelines, advanced eBPF for observability, and exploring Rust for high-performance CLI tools. Currently hacking on Building TechResolve.blog into the ultimate troubleshooting resource. Also developing open-source tools to visualize legacy code dependency graphs. Available for Consulting on legacy infrastructure modernization, speaking engagements on "Real-world DevOps Failures," and mentoring junior system admins who want to become architects. Post 1 post published Comment 0 comments written Tag 5 tags followed Solved: Understanding PPC Management — What Are the Most Important Factors Today? Darian Vance Darian Vance Darian Vance Follow Dec 28 '25 Solved: Understanding PPC Management — What Are the Most Important Factors Today? # devops # programming # tutorial # cloud Comments Add Comment 8 min read loading... 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV Vibe Coding Forem — Discussing AI software development, and showing off what we're building. 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 . Vibe Coding Forem © 2025 - 2026. Where anyone can code, with a bit of creativity and some AI help. Log in Create account | 2026-01-13T08:49:39 |
https://golf.forem.com/youtube_golf/golfcom-mlb-all-star-dexter-fowlers-ultimate-putting-tip-12lf#comments | Golf.com: MLB All-Star Dexter Fowler's Ultimate Putting Tip - 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 Golf.com: MLB All-Star Dexter Fowler's Ultimate Putting Tip # golf # recommendations # lessons MLB All-Star Dexter Fowler trades his bat for a putter, giving Erin Lim Rhodes a crash course in lining up putts and reading greens to level up her game. Fellow pro Dexter Lawrence also reveals what it’s like to play at Michael Jordan’s exclusive golf course. Want more? GOLF.com has you covered with Top 100 course lists, teacher rankings, gear reviews, and exclusive celeb interviews—subscribe on YouTube and follow them on Instagram, Twitter, Facebook, and TikTok. 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 | 2026-01-13T08:49:39 |
https://vibe.forem.com/anthony_lee_63e96408d7573/context-mesh-lite-hybrid-vector-search-sql-search-graph-search-fused-for-super-accurate-rag-25kn | Context Mesh Lite: Hybrid Vector Search + SQL Search + Graph Search Fused (for Super Accurate RAG) - Vibe Coding 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 Vibe Coding 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 Anthony Lee Posted on Dec 23, 2025 Context Mesh Lite: Hybrid Vector Search + SQL Search + Graph Search Fused (for Super Accurate RAG) # gemini # serverless # database # ai I spent WAYYY too long trying to build a more accurate RAG retrieval system. With Context Mesh Lite, I managed to combine hybrid vector search with SQL search (agentic text-to-sql) with graph search (shallow graph using dependent tables). The results were a significantly more accurate (albeit slower) RAG system. How does it work? SQL Functions do most of the heavy lifting, creating tables and table dependencies. Then Edge Functions call Gemini (embeddings 001 and 2.5 flash) to create vector embeddings and graph entity/predicate extraction. REQUIREMENTS: This system was built to exist within a Supabase instance. It also requires a Gemini API key (set in your Edge Functions window). I also connected the system to n8n workflows and it works like a charm. Anyway, I'm gonna give it to you. Maybe it'll be useful. Maybe you can improve on it. So, first, go to your Supabase (the entire end-to-end system exists there...only the interface for document upsert and chat are external). Step 1 . Go to the SQL editor and paste this master query: -- =============================================================== -- CONTEXT MESH V9.0: GOLDEN MASTER (COMPOSITE RETRIEVAL) -- UPDATED: Nov 25, 2025 -- =============================================================== -- PART 1: EXTENSIONS -- PART 2: STORAGE CONFIGURATION -- PART 3: CORE TABLES (Docs, Graph, Queue, Config, Registry) -- PART 4: INDEXES -- PART 5: HELPER FUNCTIONS & TRIGGERS -- PART 6: INGESTION FUNCTIONS (Universal V8 Logic) -- PART 7: SEARCH FUNCTIONS (V9: FTS, Enrichment, Detection, Peek) -- PART 8: CONFIGURATION LOGIC (V9 Weights) -- PART 9: GRAPH CONTEXT RERANKER -- PART 10: WORKER SETUP -- PART 11: PERMISSIONS & REPAIRS -- =============================================================== -- =============================================================== -- PART 1: EXTENSIONS -- =============================================================== CREATE EXTENSION IF NOT EXISTS vector; CREATE EXTENSION IF NOT EXISTS pg_trgm; CREATE EXTENSION IF NOT EXISTS pg_net; -- Required for Async Worker -- =============================================================== -- PART 2: STORAGE CONFIGURATION -- =============================================================== INSERT INTO storage.buckets (id, name, public) VALUES ('raw_uploads', 'raw_uploads', false) ON CONFLICT (id) DO NOTHING; DROP POLICY IF EXISTS "Service Role Full Access" ON storage.objects; CREATE POLICY "Service Role Full Access" ON storage.objects FOR ALL USING ( auth.role() = 'service_role' ) WITH CHECK ( auth.role() = 'service_role' ); -- =============================================================== -- PART 3: CORE TABLES -- =============================================================== -- 3a. The Async Queue CREATE TABLE IF NOT EXISTS public.ingestion_queue ( id uuid default gen_random_uuid() primary key, uri text not null, title text not null, chunk_index int not null, chunk_text text not null, status text default 'pending', error_log text, created_at timestamptz default now() ); -- 3b. RAG Tables CREATE TABLE IF NOT EXISTS public.document ( id BIGSERIAL PRIMARY KEY, uri TEXT NOT NULL UNIQUE, title TEXT NOT NULL, doc_type TEXT NOT NULL DEFAULT 'document', meta JSONB NOT NULL DEFAULT '{}'::jsonb, created_at TIMESTAMPTZ NOT NULL DEFAULT now() ); CREATE TABLE IF NOT EXISTS public.chunk ( id BIGSERIAL PRIMARY KEY, document_id BIGINT NOT NULL REFERENCES public.document(id) ON DELETE CASCADE, ordinal INT NOT NULL, text TEXT NOT NULL, tsv TSVECTOR, UNIQUE (document_id, ordinal) ); -- PERFORMANCE: Using halfvec(768) for Gemini embeddings CREATE TABLE IF NOT EXISTS public.chunk_embedding ( chunk_id BIGINT PRIMARY KEY REFERENCES public.chunk(id) ON DELETE CASCADE, embedding halfvec(768) NOT NULL ); -- 3c. Graph Tables CREATE TABLE IF NOT EXISTS public.node ( id BIGSERIAL PRIMARY KEY, key TEXT UNIQUE NOT NULL, labels TEXT[] NOT NULL DEFAULT '{}', props JSONB NOT NULL DEFAULT '{}'::jsonb ); CREATE TABLE IF NOT EXISTS public.edge ( src BIGINT NOT NULL REFERENCES public.node(id) ON DELETE CASCADE, dst BIGINT NOT NULL REFERENCES public.node(id) ON DELETE CASCADE, type TEXT NOT NULL, props JSONB NOT NULL DEFAULT '{}'::jsonb, PRIMARY KEY (src, dst, type) ); CREATE TABLE IF NOT EXISTS public.chunk_node ( chunk_id BIGINT NOT NULL REFERENCES public.chunk(id) ON DELETE CASCADE, node_id BIGINT NOT NULL REFERENCES public.node(id) ON DELETE CASCADE, rel TEXT NOT NULL DEFAULT 'MENTIONS', PRIMARY KEY (chunk_id, node_id, rel) ); -- 3d. Structured Data Registry (V8 Updated) CREATE TABLE IF NOT EXISTS public.structured_table ( id BIGSERIAL PRIMARY KEY, table_name TEXT NOT NULL UNIQUE, document_id BIGINT REFERENCES public.document(id) ON DELETE CASCADE, schema_def JSONB NOT NULL, row_count INT DEFAULT 0, -- V8 Metadata Columns description TEXT, column_semantics JSONB DEFAULT '{}'::jsonb, graph_hints JSONB DEFAULT '[]'::jsonb, sample_row JSONB, created_at TIMESTAMPTZ NOT NULL DEFAULT now(), updated_at TIMESTAMPTZ NOT NULL DEFAULT now() ); -- 3e. Configuration Table CREATE TABLE IF NOT EXISTS public.app_config ( id INT PRIMARY KEY DEFAULT 1, settings JSONB NOT NULL, updated_at TIMESTAMPTZ DEFAULT now(), CONSTRAINT single_row CHECK (id = 1) ); -- =============================================================== -- PART 4: INDEXES -- =============================================================== CREATE INDEX IF NOT EXISTS idx_queue_status ON public.ingestion_queue(status); CREATE INDEX IF NOT EXISTS document_type_idx ON public.document(doc_type); CREATE INDEX IF NOT EXISTS document_uri_idx ON public.document(uri); CREATE INDEX IF NOT EXISTS chunk_tsv_gin ON public.chunk USING GIN (tsv); CREATE INDEX IF NOT EXISTS chunk_doc_idx ON public.chunk(document_id); -- Embedding Index (HNSW) CREATE INDEX IF NOT EXISTS emb_hnsw_cos ON public.chunk_embedding USING HNSW (embedding halfvec_cosine_ops); -- Graph Indexes CREATE INDEX IF NOT EXISTS edge_src_idx ON public.edge (src); CREATE INDEX IF NOT EXISTS edge_dst_idx ON public.edge (dst); CREATE INDEX IF NOT EXISTS node_labels_gin ON public.node USING GIN (labels); CREATE INDEX IF NOT EXISTS node_props_gin ON public.node USING GIN (props); CREATE INDEX IF NOT EXISTS chunknode_node_idx ON public.chunk_node (node_id); CREATE INDEX IF NOT EXISTS chunknode_chunk_idx ON public.chunk_node (chunk_id); -- Registry Index CREATE INDEX IF NOT EXISTS idx_structured_table_active ON public.structured_table(table_name) WHERE row_count > 0; -- =============================================================== -- PART 5: HELPER FUNCTIONS & TRIGGERS -- =============================================================== -- 5a. Full Text Search Update Trigger CREATE OR REPLACE FUNCTION public.chunk_tsv_update() RETURNS trigger LANGUAGE plpgsql AS $$ DECLARE doc_title text; BEGIN SELECT d.title INTO doc_title FROM public.document d WHERE d.id = NEW.document_id; NEW.tsv := setweight(to_tsvector('english', coalesce(doc_title, '')), 'D') || setweight(to_tsvector('english', coalesce(NEW.text, '')), 'A'); RETURN NEW; END $$; DROP TRIGGER IF EXISTS chunk_tsv_trg ON public.chunk; CREATE TRIGGER chunk_tsv_trg BEFORE INSERT OR UPDATE OF text, document_id ON public.chunk FOR EACH ROW EXECUTE FUNCTION public.chunk_tsv_update(); -- 5b. Sanitize Table Names CREATE OR REPLACE FUNCTION public.sanitize_table_name(name TEXT) RETURNS TEXT LANGUAGE sql IMMUTABLE AS $$ SELECT 'tbl_' || regexp_replace(lower(trim(name)), '[^a-z0-9_]', '_', 'g'); $$; -- 5c. Data Extraction Helpers CREATE OR REPLACE FUNCTION public.extract_numeric(text TEXT, key TEXT) RETURNS NUMERIC LANGUAGE sql IMMUTABLE AS $$ SELECT (regexp_match(text, key || '\s*:\s*\$?([0-9,]+\.?[0-9]*)', 'i'))[1]::text::numeric; $$; -- 5d. Polymorphic Date Extraction (Supports Excel, ISO, US formats) -- 1. Text CREATE OR REPLACE FUNCTION public.extract_date(text TEXT) RETURNS DATE LANGUAGE plpgsql IMMUTABLE AS $$ BEGIN IF text ~ '^\d{5}$' THEN RETURN '1899-12-30'::date + (text::int); END IF; IF text ~ '\d{4}-\d{2}-\d{2}' THEN RETURN (regexp_match(text, '(\d{4}-\d{2}-\d{2})'))[1]::date; END IF; IF text ~ '\d{1,2}/\d{1,2}/\d{4}' THEN RETURN to_date((regexp_match(text, '(\d{1,2}/\d{1,2}/\d{4})'))[1], 'MM/DD/YYYY'); END IF; RETURN NULL; EXCEPTION WHEN OTHERS THEN RETURN NULL; END $$; -- 2. Numeric (Excel Serial) CREATE OR REPLACE FUNCTION public.extract_date(val NUMERIC) RETURNS DATE LANGUAGE plpgsql IMMUTABLE AS $$ BEGIN RETURN '1899-12-30'::date + (val::int); EXCEPTION WHEN OTHERS THEN RETURN NULL; END $$; -- 3. Integer CREATE OR REPLACE FUNCTION public.extract_date(val INTEGER) RETURNS DATE LANGUAGE plpgsql IMMUTABLE AS $$ BEGIN RETURN '1899-12-30'::date + val; EXCEPTION WHEN OTHERS THEN RETURN NULL; END $$; -- 4. Date (Pass-through) CREATE OR REPLACE FUNCTION public.extract_date(val DATE) RETURNS DATE LANGUAGE sql IMMUTABLE AS $$ SELECT val; $$; CREATE OR REPLACE FUNCTION public.extract_keywords(p_text TEXT) RETURNS TEXT[] LANGUAGE sql IMMUTABLE AS $$ SELECT array_agg(DISTINCT word) FROM ( SELECT unnest(tsvector_to_array(to_tsvector('english', p_text))) AS word ) words WHERE length(word) > 2 LIMIT 10; $$; -- 5e. Column Type Inference CREATE OR REPLACE FUNCTION public.infer_column_type(sample_values TEXT[]) RETURNS TEXT LANGUAGE plpgsql IMMUTABLE AS $$ DECLARE val TEXT; numeric_count INT := 0; date_count INT := 0; boolean_count INT := 0; total_non_null INT := 0; BEGIN FOR val IN SELECT unnest(sample_values) LOOP IF val IS NOT NULL AND val != '' THEN total_non_null := total_non_null + 1; IF lower(val) IN ('true', 'false', 'yes', 'no', 't', 'f', 'y', 'n', '1', '0') THEN boolean_count := boolean_count + 1; END IF; IF val ~ '\d+\s*x\s*\d+' THEN RETURN 'TEXT'; END IF; IF val ~ '\d+\s*(cm|mm|m|km|in|ft|yd|kg|g|mg|lb|oz|ml|l|gal)' THEN RETURN 'TEXT'; END IF; IF val ~ '^\$?-?[0-9,]+\.?[0-9]*$' THEN numeric_count := numeric_count + 1; END IF; IF val ~ '^\d{4}-\d{2}-\d{2}' OR val ~ '^\d{1,2}/\d{1,2}/\d{4}' OR val ~ '^\d{5}$' THEN date_count := date_count + 1; END IF; END IF; END LOOP; IF total_non_null = 0 THEN RETURN 'TEXT'; END IF; IF boolean_count::float / total_non_null > 0.8 THEN RETURN 'BOOLEAN'; END IF; IF numeric_count::float / total_non_null > 0.8 THEN RETURN 'NUMERIC'; END IF; IF date_count::float / total_non_null > 0.8 THEN RETURN 'DATE'; END IF; RETURN 'TEXT'; END $$; -- =============================================================== -- PART 6: INGESTION FUNCTIONS (RPC) -- =============================================================== -- 6a. Document Ingest (Standard) CREATE OR REPLACE FUNCTION public.ingest_document_chunk( p_uri TEXT, p_title TEXT, p_doc_meta JSONB, p_chunk JSONB, p_nodes JSONB, p_edges JSONB, p_mentions JSONB ) RETURNS JSONB LANGUAGE plpgsql SECURITY DEFINER SET search_path = public, pg_temp AS $$ DECLARE v_doc_id BIGINT; v_chunk_id BIGINT; v_node JSONB; v_edge JSONB; v_mention JSONB; v_src_id BIGINT; v_dst_id BIGINT; BEGIN INSERT INTO public.document(uri, title, doc_type, meta) VALUES (p_uri, p_title, 'document', COALESCE(p_doc_meta, '{}'::jsonb)) ON CONFLICT (uri) DO UPDATE SET title = EXCLUDED.title, meta = public.document.meta || EXCLUDED.meta RETURNING id INTO v_doc_id; INSERT INTO public.chunk(document_id, ordinal, text) VALUES (v_doc_id, (p_chunk->>'ordinal')::INT, p_chunk->>'text') ON CONFLICT (document_id, ordinal) DO UPDATE SET text = EXCLUDED.text RETURNING id INTO v_chunk_id; IF (p_chunk ? 'embedding') THEN INSERT INTO public.chunk_embedding(chunk_id, embedding) VALUES (v_chunk_id, (SELECT array_agg((e)::float4 ORDER BY ord) FROM jsonb_array_elements_text(p_chunk->'embedding') WITH ORDINALITY t(e, ord))::halfvec(768)) ON CONFLICT (chunk_id) DO UPDATE SET embedding = EXCLUDED.embedding; END IF; FOR v_node IN SELECT * FROM jsonb_array_elements(COALESCE(p_nodes, '[]'::jsonb)) LOOP INSERT INTO public.node(key, labels, props) VALUES (v_node->>'key', COALESCE((SELECT array_agg(l::TEXT) FROM jsonb_array_elements_text(v_node->'labels') l), '{}'), COALESCE(v_node->'props', '{}'::jsonb)) ON CONFLICT (key) DO UPDATE SET props = public.node.props || EXCLUDED.props; END LOOP; FOR v_edge IN SELECT * FROM jsonb_array_elements(COALESCE(p_edges, '[]'::jsonb)) LOOP SELECT id INTO v_src_id FROM public.node WHERE key = v_edge->>'src_key'; SELECT id INTO v_dst_id FROM public.node WHERE key = v_edge->>'dst_key'; IF v_src_id IS NOT NULL AND v_dst_id IS NOT NULL THEN INSERT INTO public.edge(src, dst, type, props) VALUES (v_src_id, v_dst_id, v_edge->>'type', COALESCE(v_edge->'props', '{}'::jsonb)) ON CONFLICT (src, dst, type) DO UPDATE SET props = public.edge.props || EXCLUDED.props; END IF; END LOOP; FOR v_mention IN SELECT * FROM jsonb_array_elements(COALESCE(p_mentions, '[]'::jsonb)) LOOP SELECT id INTO v_src_id FROM public.node WHERE key = v_mention->>'node_key'; IF v_chunk_id IS NOT NULL AND v_src_id IS NOT NULL THEN INSERT INTO public.chunk_node(chunk_id, node_id, rel) VALUES (v_chunk_id, v_src_id, COALESCE(v_mention->>'rel', 'MENTIONS')) ON CONFLICT (chunk_id, node_id, rel) DO NOTHING; END IF; END LOOP; RETURN jsonb_build_object('ok', true); END $$; -- 6b. Universal Spreadsheet Ingest (V8 Updated: Description Support) DROP FUNCTION IF EXISTS public.ingest_spreadsheet(text, text, text, jsonb, jsonb, jsonb, jsonb); CREATE OR REPLACE FUNCTION public.ingest_spreadsheet( p_uri TEXT, p_title TEXT, p_table_name TEXT, p_description TEXT, -- V8 Addition p_rows JSONB, p_schema JSONB, p_nodes JSONB, p_edges JSONB ) RETURNS JSONB LANGUAGE plpgsql SECURITY DEFINER SET search_path = public, pg_temp AS $$ DECLARE v_doc_id BIGINT; v_safe_name TEXT; v_col_name TEXT; v_inferred_type TEXT; v_cols TEXT[]; v_sample_values TEXT[]; v_row JSONB; v_node JSONB; v_edge JSONB; v_src_id BIGINT; v_dst_id BIGINT; v_table_exists BOOLEAN; v_all_columns TEXT[]; v_schema_def JSONB; BEGIN INSERT INTO public.document(uri, title, doc_type, meta) VALUES (p_uri, p_title, 'spreadsheet', jsonb_build_object('table_name', p_table_name)) ON CONFLICT (uri) DO UPDATE SET title = EXCLUDED.title RETURNING id INTO v_doc_id; v_safe_name := public.sanitize_table_name(p_table_name); SELECT EXISTS (SELECT FROM pg_tables WHERE schemaname = 'public' AND tablename = v_safe_name) INTO v_table_exists; IF NOT v_table_exists THEN -- Table Creation Logic SELECT array_agg(DISTINCT key ORDER BY key) INTO v_all_columns FROM jsonb_array_elements(p_rows) AS r, jsonb_object_keys(r) AS key; v_cols := ARRAY['id BIGSERIAL PRIMARY KEY']; FOREACH v_col_name IN ARRAY v_all_columns LOOP SELECT array_agg(kv.value::text) INTO v_sample_values FROM jsonb_array_elements(p_rows) r, jsonb_each_text(r) kv WHERE kv.key = v_col_name LIMIT 100; v_inferred_type := public.infer_column_type(COALESCE(v_sample_values, ARRAY[]::TEXT[])); v_cols := v_cols || format('%I %s', v_col_name, v_inferred_type); END LOOP; EXECUTE format('CREATE TABLE public.%I (%s)', v_safe_name, array_to_string(v_cols, ', ')); -- Permissions EXECUTE format('GRANT ALL ON TABLE public.%I TO service_role', v_safe_name); EXECUTE format('GRANT SELECT ON TABLE public.%I TO authenticated, anon', v_safe_name); SELECT jsonb_object_agg(col_name, 'TEXT') INTO v_schema_def FROM unnest(v_all_columns) AS col_name; END IF; -- Insert Rows FOR v_row IN SELECT * FROM jsonb_array_elements(p_rows) LOOP DECLARE v_k TEXT; v_v TEXT; v_cl TEXT[] := ARRAY[]::TEXT[]; v_vl TEXT[] := ARRAY[]::TEXT[]; BEGIN FOR v_k, v_v IN SELECT * FROM jsonb_each_text(v_row) LOOP v_cl := v_cl || quote_ident(v_k); v_vl := v_vl || quote_literal(v_v); END LOOP; IF array_length(v_cl, 1) > 0 THEN EXECUTE format('INSERT INTO public.%I (%s) VALUES (%s)', v_safe_name, array_to_string(v_cl, ', '), array_to_string(v_vl, ', ')); END IF; END; END LOOP; -- Upsert Registry (V8 with Description) INSERT INTO public.structured_table(table_name, document_id, schema_def, row_count, description) VALUES (v_safe_name, v_doc_id, COALESCE(v_schema_def, '{}'::jsonb), jsonb_array_length(p_rows), p_description) ON CONFLICT (table_name) DO UPDATE SET updated_at = now(), description = EXCLUDED.description; -- Upsert Graph Nodes FOR v_node IN SELECT * FROM jsonb_array_elements(COALESCE(p_nodes, '[]'::jsonb)) LOOP INSERT INTO public.node(key, labels, props) VALUES (v_node->>'key', COALESCE((SELECT array_agg(l::TEXT) FROM jsonb_array_elements_text(v_node->'labels') l), '{}'), COALESCE(v_node->'props', '{}'::jsonb)) ON CONFLICT (key) DO UPDATE SET props = public.node.props || EXCLUDED.props; END LOOP; -- Upsert Graph Edges FOR v_edge IN SELECT * FROM jsonb_array_elements(COALESCE(p_edges, '[]'::jsonb)) LOOP SELECT id INTO v_src_id FROM public.node WHERE key = v_edge->>'src_key'; SELECT id INTO v_dst_id FROM public.node WHERE key = v_edge->>'dst_key'; IF v_src_id IS NOT NULL AND v_dst_id IS NOT NULL THEN INSERT INTO public.edge(src, dst, type, props) VALUES (v_src_id, v_dst_id, v_edge->>'type', COALESCE(v_edge->'props', '{}'::jsonb)) ON CONFLICT (src, dst, type) DO UPDATE SET props = public.edge.props || EXCLUDED.props; END IF; END LOOP; RETURN jsonb_build_object('ok', true, 'table_name', v_safe_name); END $$; -- =============================================================== -- PART 7: SEARCH FUNCTIONS (UPDATED V9 - COMPOSITE RETRIEVAL) -- =============================================================== -- 7a. Vector Search CREATE OR REPLACE FUNCTION public.search_vector( p_embedding VECTOR(768), p_limit INT, p_threshold FLOAT8 DEFAULT 0.65 ) RETURNS TABLE(chunk_id BIGINT, content TEXT, score FLOAT8) LANGUAGE sql STABLE AS $$ SELECT ce.chunk_id, c.text as content, 1.0 / (1.0 + (ce.embedding <=> p_embedding)) AS score FROM public.chunk_embedding ce JOIN public.chunk c ON c.id = ce.chunk_id WHERE (1.0 / (1.0 + (ce.embedding <=> p_embedding))) >= p_threshold ORDER BY score DESC LIMIT p_limit; $$; -- 7b. Multi-Strategy Full-Text Search (V9) CREATE OR REPLACE FUNCTION public.search_fulltext( p_query text, p_limit integer ) RETURNS TABLE( chunk_id bigint, content text, score double precision ) LANGUAGE sql STABLE AS $$ WITH query_variants AS ( SELECT websearch_to_tsquery('english', p_query) AS tsq_websearch, plainto_tsquery('english', p_query) AS tsq_plain, to_tsquery('english', regexp_replace(p_query, '\s+', ' | ', 'g')) AS tsq_or ), results AS ( -- Strategy 1: Websearch (most precise) SELECT c.id AS chunk_id, c.text AS content, ts_rank_cd(c.tsv, q.tsq_websearch)::float8 AS score, 1 as strategy FROM public.chunk c CROSS JOIN query_variants q WHERE c.tsv @@ q.tsq_websearch UNION ALL -- Strategy 2: Plain text (more flexible) SELECT c.id AS chunk_id, c.text AS content, ts_rank_cd(c.tsv, q.tsq_plain)::float8 * 0.8 AS score, 2 as strategy FROM public.chunk c CROSS JOIN query_variants q WHERE c.tsv @@ q.tsq_plain AND NOT EXISTS ( SELECT 1 FROM public.chunk c2 CROSS JOIN query_variants q2 WHERE c2.id = c.id AND c2.tsv @@ q2.tsq_websearch ) UNION ALL -- Strategy 3: OR query (most flexible) SELECT c.id AS chunk_id, c.text AS content, ts_rank_cd(c.tsv, q.tsq_or)::float8 * 0.6 AS score, 3 as strategy FROM public.chunk c CROSS JOIN query_variants q WHERE c.tsv @@ q.tsq_or AND NOT EXISTS ( SELECT 1 FROM public.chunk c2 CROSS JOIN query_variants q2 WHERE c2.id = c.id AND (c2.tsv @@ q2.tsq_websearch OR c2.tsv @@ q2.tsq_plain) ) ) SELECT chunk_id, content, score FROM results ORDER BY score DESC LIMIT p_limit; $$; GRANT EXECUTE ON FUNCTION public.search_fulltext TO anon, authenticated, service_role; -- 7c. Table Peeking (V9: GENERIC FK DETECTION + REVERSE LOOKUP) CREATE OR REPLACE FUNCTION public.get_table_context(p_table_name TEXT) RETURNS JSONB LANGUAGE plpgsql SECURITY DEFINER SET search_path = public, pg_temp AS $$ DECLARE v_safe_name TEXT; v_columns TEXT; v_sample_row JSONB; v_description TEXT; v_semantics JSONB; v_categorical_values JSONB := '{}'::jsonb; v_related_tables JSONB := '[]'::jsonb; v_cat_col TEXT; v_cat_values JSONB; v_distinct_count INT; v_fk_col TEXT; v_ref_table TEXT; v_ref_table_exists BOOLEAN; v_join_col TEXT; v_ref_has_id BOOLEAN; v_ref_has_name BOOLEAN; v_reverse_rec RECORD; BEGIN v_safe_name := quote_ident(p_table_name); -- Get schema SELECT string_agg(column_name || ' (' || data_type || ')', ', ') INTO v_columns FROM information_schema.columns WHERE table_name = p_table_name AND table_schema = 'public'; -- Get sample row EXECUTE format('SELECT to_jsonb(t) FROM (SELECT * FROM public.%I LIMIT 1) t', v_safe_name) INTO v_sample_row; -- Get semantic metadata from structured_table SELECT description, column_semantics INTO v_description, v_semantics FROM public.structured_table WHERE table_name = p_table_name; -- Get categorical values for columns with status/type/category in name FOR v_cat_col IN SELECT column_name FROM information_schema.columns WHERE table_schema = 'public' AND table_name = p_table_name AND ( column_name LIKE '%status%' OR column_name LIKE '%type%' OR column_name LIKE '%category%' OR column_name LIKE '%state%' OR column_name LIKE '%priority%' OR column_name LIKE '%level%' ) LOOP BEGIN -- Check if column has reasonable number of distinct values EXECUTE format('SELECT COUNT(DISTINCT %I) FROM public.%I', v_cat_col, v_safe_name) INTO v_distinct_count; -- Only include if 20 or fewer distinct values IF v_distinct_count <= 20 THEN EXECUTE format('SELECT jsonb_agg(DISTINCT %I ORDER BY %I) FROM public.%I', v_cat_col, v_cat_col, v_safe_name) INTO v_cat_values; -- Add to categorical_values object v_categorical_values := v_categorical_values || jsonb_build_object(v_cat_col, v_cat_values); END IF; EXCEPTION WHEN OTHERS THEN -- Skip this column if any error CONTINUE; END; END LOOP; -- ======================================================================== -- PART 1: FORWARD FK DETECTION (this table references other tables) -- ======================================================================== FOR v_fk_col IN SELECT column_name FROM information_schema.columns WHERE table_schema = 'public' AND table_name = p_table_name AND ( column_name LIKE '%\_id' OR -- customer_id, warehouse_id, manager_id column_name LIKE '%\_name' -- manager_name, customer_name ) AND column_name != 'id' -- Skip primary key LOOP -- Infer referenced table name v_ref_table := regexp_replace(v_fk_col, '_(id|name)$', ''); -- Handle pluralization -- carriers → carrier, employees → employee, warehouses → warehouse IF v_ref_table ~ '(ss|us|ch|sh|x|z)es$' THEN v_ref_table := regexp_replace(v_ref_table, 'es$', ''); ELSIF v_ref_table ~ 'ies$' THEN v_ref_table := regexp_replace(v_ref_table, 'ies$', 'y'); ELSIF v_ref_table ~ 's$' THEN v_ref_table := regexp_replace(v_ref_table, 's$', ''); END IF; -- Add tbl_ prefix v_ref_table := 'tbl_' || v_ref_table; -- Check if referenced table exists SELECT EXISTS ( SELECT FROM pg_tables WHERE schemaname = 'public' AND tablename = v_ref_table ) INTO v_ref_table_exists; IF v_ref_table_exists THEN -- Determine join column in referenced table v_join_col := NULL; v_ref_has_id := FALSE; v_ref_has_name := FALSE; -- Check what columns the referenced table has IF v_fk_col LIKE '%\_id' THEN -- For FK columns ending in _id, look for matching ID column in ref table -- customer_id → look for customer_id in tbl_customers -- manager_id → look for employee_id in tbl_employees (special case) SELECT bool_or( column_name = v_fk_col OR column_name = regexp_replace(v_ref_table, '^tbl_', '') || '_id' ) INTO v_ref_has_id FROM information_schema.columns WHERE table_schema = 'public' AND table_name = v_ref_table; IF v_ref_has_id THEN -- Find the actual ID column name SELECT column_name INTO v_join_col FROM information_schema.columns WHERE table_schema = 'public' AND table_name = v_ref_table AND (column_name = v_fk_col OR column_name = regexp_replace(v_ref_table, '^tbl_', '') || '_id') LIMIT 1; END IF; END IF; IF v_fk_col LIKE '%\_name' THEN -- For FK columns ending in _name, look for 'name' column in ref table SELECT bool_or(column_name = 'name') INTO v_ref_has_name FROM information_schema.columns WHERE table_schema = 'public' AND table_name = v_ref_table; IF v_ref_has_name THEN v_join_col := 'name'; END IF; END IF; -- If we found a valid join column, add to related tables IF v_join_col IS NOT NULL THEN v_related_tables := v_related_tables || jsonb_build_array( jsonb_build_object( 'table', v_ref_table, 'fk_column', v_fk_col, 'join_on', format('%I.%I = %I.%I', p_table_name, v_fk_col, v_ref_table, v_join_col), 'useful_columns', 'Details from ' || v_ref_table, 'use_when', format('Query mentions %s or asks about %s details', regexp_replace(v_ref_table, '^tbl_', ''), regexp_replace(v_fk_col, '_(id|name)$', '')) ) ); END IF; END IF; END LOOP; -- ======================================================================== -- PART 2: REVERSE FK DETECTION (other tables reference this table) -- ======================================================================== -- Example: tbl_employees should know that tbl_warehouses.manager_name references it FOR v_reverse_rec IN SELECT DISTINCT c.table_name, c.column_name, c.data_type FROM information_schema.columns c WHERE c.table_schema = 'public' AND c.table_name LIKE 'tbl_%' AND c.table_name != p_table_name AND ( c.column_name LIKE '%\_id' OR c.column_name LIKE '%\_name' ) LOOP v_ref_table := v_reverse_rec.table_name; v_fk_col := v_reverse_rec.column_name; v_join_col := NULL; -- Extract the base entity name from the foreign key column -- manager_id → manager, customer_name → customer DECLARE v_base_entity TEXT; v_current_table_entity TEXT; BEGIN v_base_entity := regexp_replace(v_fk_col, '_(id|name)$', ''); v_current_table_entity := regexp_replace(p_table_name, '^tbl_', ''); -- Normalize pluralization for comparison IF v_current_table_entity ~ 's$' THEN v_current_table_entity := regexp_replace(v_current_table_entity, 's$', ''); END IF; -- Check if this FK might reference the current table -- Examples: -- manager → employee (tbl_warehouses.manager_name → tbl_employees.name) -- customer → customer (tbl_orders.customer_id → tbl_customers.customer_id) -- employee → employee (tbl_employees.manager_id → tbl_employees.employee_id) IF v_base_entity = v_current_table_entity OR (v_base_entity = 'manager' AND v_current_table_entity = 'employee') OR (v_base_entity = 'employee' AND v_current_table_entity = 'employee') THEN -- Determine what column in current table this FK should join to IF v_fk_col LIKE '%\_id' THEN -- Look for matching ID column in current table SELECT column_name INTO v_join_col FROM information_schema.columns WHERE table_schema = 'public' AND table_name = p_table_name AND ( column_name = v_fk_col OR column_name = p_table_name || '_id' OR column_name = regexp_replace(p_table_name, '^tbl_', '') || '_id' ) LIMIT 1; ELSIF v_fk_col LIKE '%\_name' THEN -- Look for 'name' column in current table SELECT column_name INTO v_join_col FROM information_schema.columns WHERE table_schema = 'public' AND table_name = p_table_name AND column_name = 'name' LIMIT 1; END IF; -- If we found a matching join column, add to related tables IF v_join_col IS NOT NULL THEN -- Check if this relationship already exists (avoid duplicates from forward pass) IF NOT EXISTS ( SELECT 1 FROM jsonb_array_elements(v_related_tables) elem WHERE elem->>'table' = v_ref_table AND elem->>'fk_column' = v_fk_col ) THEN v_related_tables := v_related_tables || jsonb_build_array( jsonb_build_object( 'table', v_ref_table, 'fk_column', v_fk_col, 'join_on', format('%I.%I = %I.%I', p_table_name, v_join_col, v_ref_table, v_fk_col), 'useful_columns', 'Details from ' || v_ref_table, 'use_when', format('Query asks about %s that reference %s', regexp_replace(v_ref_table, '^tbl_', ''), regexp_replace(p_table_name, '^tbl_', '')) ) ); END IF; END IF; END IF; END; END LOOP; RETURN jsonb_build_object( 'table', p_table_name, 'schema', v_columns, 'sample', COALESCE(v_sample_row, '{}'::jsonb), 'description', v_description, 'column_semantics', COALESCE(v_semantics, '{}'::jsonb), 'categorical_values', v_categorical_values, 'related_tables', v_related_tables ); EXCEPTION WHEN OTHERS THEN RETURN jsonb_build_object('error', SQLERRM); END $$; GRANT EXECUTE ON FUNCTION public.get_table_context(text) TO service_role, authenticated, anon; -- 7d. Hybrid Graph Search CREATE OR REPLACE FUNCTION public.search_graph_hybrid( p_entities TEXT[], p_actions TEXT[], p_limit INT DEFAULT 20 ) RETURNS TABLE(chunk_id BIGINT, content TEXT, score FLOAT8, strategy TEXT) LANGUAGE plpgsql STABLE AS $$ DECLARE v_has_actions BOOLEAN; BEGIN v_has_actions := (array_length(p_actions, 1) > 0); RETURN QUERY WITH relevant_nodes AS ( SELECT id FROM public.node WHERE EXISTS ( SELECT 1 FROM unnest(p_entities) entity WHERE public.node.key ILIKE '%' || entity || '%' OR public.node.props->>'name' ILIKE '%' || entity || '%' ) ), relevant_edges AS ( SELECT e.src, e.dst, e.type, CASE WHEN s.id IS NOT NULL AND d.id IS NOT NULL THEN 'entity-entity' ELSE 'entity-action' END as match_strategy, CASE WHEN s.id IS NOT NULL AND d.id IS NOT NULL THEN 2.0 ELSE 1.5 END as base_score FROM public.edge e LEFT JOIN relevant_nodes s ON e.src = s.id LEFT JOIN relevant_nodes d ON e.dst = d.id WHERE (s.id IS NOT NULL AND d.id IS NOT NULL) OR (v_has_actions AND (s.id IS NOT NULL OR d.id IS NOT NULL) AND EXISTS (SELECT 1 FROM unnest(p_actions) act WHERE e.type ILIKE act || '%') ) ), hits AS ( SELECT cn.chunk_id, count(*) as mention_count, max(base_score) as max_strategy_score, string_agg(DISTINCT match_strategy, ', ') as strategies FROM relevant_edges re JOIN public.chunk_node cn ON cn.node_id = re.src GROUP BY cn.chunk_id ) SELECT h.chunk_id, c.text as content, (log(h.mention_count + 1) * h.max_strategy_score)::float8 AS score, h.strategies::text as strategy FROM hits h JOIN public.chunk c ON c.id = h.chunk_id ORDER BY score DESC LIMIT p_limit; END $$; -- 7e. Legacy Targeted Graph Search (RESTORED FOR COMPLETENESS) CREATE OR REPLACE FUNCTION public.search_graph_targeted( p_entities TEXT[], p_actions TEXT[], p_limit INT DEFAULT 20 ) RETURNS TABLE(chunk_id BIGINT, content TEXT, score FLOAT8) LANGUAGE plpgsql STABLE AS $$ DECLARE v_has_actions BOOLEAN; BEGIN v_has_actions := (array_length(p_actions, 1) > 0); RETURN QUERY WITH relevant_nodes AS ( SELECT id, props->>'name' as name FROM public.node WHERE EXISTS ( SELECT 1 FROM unnest(p_entities) entity WHERE public.node.key ILIKE '%' || entity || '%' OR public.node.props->>'name' ILIKE '%' || entity || '%' ) ), relevant_edges AS ( SELECT e.src, e.dst, e.type FROM public.edge e JOIN relevant_nodes rn ON e.src = rn.id ), hits AS ( SELECT cn.chunk_id, count(*) as mention_count FROM relevant_edges re JOIN public.chunk_node cn ON cn.node_id = re.src GROUP BY cn.chunk_id ) SELECT h.chunk_id, c.text as content, (log(h.mention_count + 1) * 1.5)::float8 AS score FROM hits h JOIN public.chunk c ON c.id = h.chunk_id ORDER BY score DESC LIMIT p_limit; END $$; -- 7f. Graph Neighborhood (Update 4: Security Definer / Case Insensitive) DROP FUNCTION IF EXISTS public.get_graph_neighborhood(text[]); CREATE OR REPLACE FUNCTION public.get_graph_neighborhood( p_entity_names TEXT[] ) RETURNS TABLE(subject TEXT, action TEXT, object TEXT, context JSONB) LANGUAGE plpgsql SECURITY DEFINER SET search_path = public, pg_temp AS $$ BEGIN RETURN QUERY WITH target_nodes AS ( SELECT id, key, props->>'name' as name FROM public.node WHERE -- 1. Direct Key Match key = ANY(p_entity_names) -- 2. Name Match (Case Insensitive, Trimmed) OR lower(trim(props->>'name')) = ANY( SELECT lower(trim(x)) FROM unnest(p_entity_names) x ) -- 3. Fuzzy Match (Substring) OR EXISTS ( SELECT 1 FROM unnest(p_entity_names) term WHERE length(term) > 3 AND public.node.props->>'name' ILIKE '%' || term || '%' ) ) -- Outgoing Edges SELECT n1.props->>'name', e.type, n2.props->>'name', e.props FROM target_nodes tn JOIN public.edge e ON tn.id = e.src JOIN public.node n1 ON e.src = n1.id JOIN public.node n2 ON e.dst = n2.id UNION ALL -- Incoming Edges SELECT n1.props->>'name', e.type, n2.props->>'name', e.props FROM target_nodes tn JOIN public.edge e ON tn.id = e.dst JOIN public.node n1 ON e.src = n1.id JOIN public.node n2 ON e.dst = n2.id; END $$; GRANT EXECUTE ON FUNCTION public.get_graph_neighborhood(text[]) TO service_role, authenticated, anon; -- 7g. Structured Search (Safe V6.1) DROP FUNCTION IF EXISTS public.search_structured(text, int); CREATE OR REPLACE FUNCTION public.search_structured(p_query_sql TEXT, p_limit INT DEFAULT 20) RETURNS TABLE(table_name TEXT, row_data JSONB, score FLOAT8, rank INT) LANGUAGE plpgsql SECURITY DEFINER SET search_path = public, pg_temp AS $$ DECLARE v_sql TEXT; BEGIN IF p_query_sql IS NULL OR length(trim(p_query_sql)) = 0 THEN RETURN; END IF; v_sql := p_query_sql; -- Sanitization v_sql := regexp_replace(v_sql, '(\W)to\.([a-zA-Z0-9_]+)', '\1t_orders.\2', 'g'); v_sql := regexp_replace(v_sql, '\s+to\s+ON\s+', ' t_orders ON ', 'gi'); v_sql := regexp_replace(v_sql, '\s+AS\s+to\s+', ' AS t_orders ', 'gi'); v_sql := regexp_replace(v_sql, 'tbl_orders\s+to\s+', 'tbl_orders t_orders ', 'gi'); v_sql := regexp_replace(v_sql, '[;\s]+$', ''); RETURN QUERY EXECUTE format( 'WITH user_query AS (%s) SELECT ''result''::text AS table_name, to_jsonb(user_query.*) AS row_data, 1.0::float8 AS score, (row_number() OVER ())::int AS rank FROM user_query LIMIT %s', v_sql, p_limit ); EXCEPTION WHEN OTHERS THEN RETURN QUERY SELECT 'ERROR'::text, jsonb_build_object('msg', SQLERRM, 'sql', v_sql), 1.0, 1; END $$; GRANT EXECUTE ON FUNCTION public.search_structured(text, int) TO service_role, authenticated, anon; -- 7h. Smart Entity Detection (V9 - Composite Retrieval) CREATE OR REPLACE FUNCTION public.detect_query_entities( p_query TEXT ) RETURNS TABLE( entity_type TEXT, table_name TEXT, key_column TEXT, key_value TEXT ) LANGUAGE plpgsql AS $$ BEGIN -- Detect ORDER IDs (O followed by 5 digits) IF p_query ~* 'O\d{5}' THEN RETURN QUERY SELECT 'order'::TEXT, 'tbl_orders'::TEXT, 'order_id'::TEXT, (regexp_match(p_query, '(O\d{5})', 'i'))[1]::TEXT; END IF; -- Detect CUSTOMER IDs (CU followed by 3 digits) IF p_query ~* 'CU\d{3}' THEN RETURN QUERY SELECT 'customer'::TEXT, 'tbl_customers'::TEXT, 'customer_id'::TEXT, (regexp_match(p_query, '(CU\d{3})', 'i'))[1]::TEXT; END IF; -- Detect EMPLOYEE IDs (E followed by 3 digits) IF p_query ~* 'E\d{3}' THEN RETURN QUERY SELECT 'employee'::TEXT, 'tbl_employees'::TEXT, 'employee_id'::TEXT, (regexp_match(p_query, '(E\d{3})', 'i'))[1]::TEXT; END IF; -- Detect WAREHOUSE IDs (WH followed by 3 digits) IF p_query ~* 'WH\d{3}' THEN RETURN QUERY SELECT 'warehouse'::TEXT, 'tbl_warehouses'::TEXT, 'warehouse_id'::TEXT, (regexp_match(p_query, '(WH\d{3})', 'i'))[1]::TEXT; END IF; -- Detect CARRIER IDs (CR followed by 3 digits) IF p_query ~* 'CR\d{3}' THEN RETURN QUERY SELECT 'carrier'::TEXT, 'tbl_carriers'::TEXT, 'carrier_id'::TEXT, (regexp_match(p_query, '(CR\d{3})', 'i'))[1]::TEXT; END IF; RETURN; END; $$; GRANT EXECUTE ON FUNCTION public.detect_query_entities TO anon, authenticated, service_role; -- 7i. Context Enrichment (V9 - Composite Retrieval) CREATE OR REPLACE FUNCTION public.enrich_query_context( p_primary_table TEXT, p_primary_key TEXT, p_primary_value TEXT ) RETURNS TABLE( enrichment_type TEXT, table_name TEXT, row_data JSONB, relationship TEXT ) LANGUAGE plpgsql AS $$ DECLARE v_customer_id TEXT; v_warehouse_id TEXT; v_employee_id TEXT; v_carrier_id TEXT; v_primary_row JSONB; BEGIN -- ==================================================== -- STEP 1: GET PRIMARY ROW -- ==================================================== EXECUTE format( 'SELECT to_jsonb(t.*) FROM public.%I t WHERE %I = $1 LIMIT 1', p_primary_table, p_primary_key ) INTO v_primary_row USING p_primary_value; IF v_primary_row IS NULL THEN RETURN; END IF; RETURN QUERY SELECT 'primary'::TEXT, p_primary_table, v_primary_row, 'direct_match'::TEXT; -- ==================================================== -- STEP 2: FOLLOW FOREIGN KEYS (ENRICH!) -- ==================================================== -- ORDERS TABLE IF p_primary_table = 'tbl_orders' THEN v_customer_id := v_primary_row->>'customer_id'; v_warehouse_id := v_primary_row->>'warehouse_id'; v_carrier_id := v_primary_row->>'carrier_id'; -- Customer IF v_customer_id IS NOT NULL THEN RETURN QUERY SELECT 'enrichment'::TEXT, 'tbl_customers'::TEXT, to_jsonb(c.*), 'order_customer'::TEXT FROM public.tbl_customers c WHERE c.customer_id = v_customer_id; -- Customer History RETURN QUERY SELECT 'related_orders'::TEXT, 'tbl_orders'::TEXT, to_jsonb(o.*), 'customer_history'::TEXT FROM public.tbl_orders o WHERE o.customer_id = v_customer_id AND o.order_id != p_primary_value ORDER BY o.order_date DESC LIMIT 5; END IF; -- Warehouse IF v_warehouse_id IS NOT NULL THEN RETURN QUERY SELECT 'enrichment'::TEXT, 'tbl_warehouses'::TEXT, to_jsonb(w.*), 'order_warehouse'::TEXT FROM public.tbl_warehouses w WHERE w.warehouse_id = v_warehouse_id; END IF; -- Carrier IF v_carrier_id IS NOT NULL THEN RETURN QUERY SELECT 'enrichment'::TEXT, 'tbl_carriers'::TEXT, to_jsonb(cr.*), 'order_carrier'::TEXT FROM public.tbl_carriers cr WHERE cr.carrier_id = v_carrier_id; END IF; END IF; -- CUSTOMERS TABLE IF p_primary_table = 'tbl_customers' THEN RETURN QUERY SELECT 'enrichment'::TEXT, 'tbl_orders'::TEXT, to_jsonb(o.*), 'customer_orders'::TEXT FROM public.tbl_orders o WHERE o.customer_id = p_primary_value ORDER BY o.order_date DESC LIMIT 10; END IF; -- EMPLOYEES TABLE IF p_primary_table = 'tbl_employees' THEN v_employee_id := v_primary_row->>'employee_id'; RETURN QUERY SELECT 'enrichment'::TEXT, 'tbl_employees'::TEXT, to_jsonb(e.*), 'direct_reports'::TEXT FROM public.tbl_employees e WHERE e.manager_id = v_employee_id; RETURN QUERY SELECT 'enrichment'::TEXT, 'tbl_employees'::TEXT, to_jsonb(m.*), 'manager'::TEXT FROM public.tbl_employees m WHERE m.employee_id = (v_primary_row->>'manager_id'); END IF; -- WAREHOUSES TABLE IF p_primary_table = 'tbl_warehouses' THEN RETURN QUERY SELECT 'enrichment'::TEXT, 'tbl_orders'::TEXT, to_jsonb(o.*), 'warehouse_orders'::TEXT FROM public.tbl_orders o WHERE o.warehouse_id = p_primary_value ORDER BY o.order_date DESC LIMIT 10; END IF; RETURN; END; $$; GRANT EXECUTE ON FUNCTION public.enrich_query_context TO anon, authenticated, service_role; -- =============================================================== -- PART 8: CONFIGURATION SYSTEM -- =============================================================== INSERT INTO public.app_config (id, settings) VALUES (1, '{ "chunk_size": 500, "chunk_overlap": 100, "graph_sample_rate": 5, "worker_batch_size": 5, "model_router": "gemini-2.5-flash", "model_reranker": "gemini-2.5-flash-lite", "model_sql": "gemini-2.5-flash", "model_extraction": "gemini-2.5-flash", "rrf_weight_enrichment": 15.0, "rrf_weight_sql": 10.0, "rrf_weight_graph": 5.0, "rrf_weight_fts": 3.0, "rrf_weight_vector": 1.0, "rerank_depth": 15, "min_vector_score": 0.01, "search_limit": 10 }'::jsonb) ON CONFLICT (id) DO NOTHING; CREATE OR REPLACE FUNCTION public.configure_system( p_chunk_size INT DEFAULT NULL, p_chunk_overlap INT DEFAULT NULL, p_graph_sample_rate INT DEFAULT NULL, p_worker_batch_size INT DEFAULT NULL, p_model_router TEXT DEFAULT NULL, p_model_reranker TEXT DEFAULT NULL, p_model_extraction TEXT DEFAULT NULL, p_search_limit INT DEFAULT NULL, p_rerank_depth INT DEFAULT NULL, p_rrf_weight_vector NUMERIC DEFAULT NULL, p_rrf_weight_graph NUMERIC DEFAULT NULL, p_rrf_weight_sql NUMERIC DEFAULT NULL ) RETURNS TEXT LANGUAGE plpgsql SECURITY DEFINER AS $$ DECLARE current_settings JSONB; new_settings JSONB; BEGIN SELECT settings INTO current_settings FROM public.app_config WHERE id = 1; new_settings := current_settings; IF p_chunk_size IS NOT NULL THEN new_settings := jsonb_set(new_settings, '{chunk_size}', to_jsonb(p_chunk_size)); END IF; IF p_chunk_overlap IS NOT NULL THEN new_settings := jsonb_set(new_settings, '{chunk_overlap}', to_jsonb(p_chunk_overlap)); END IF; IF p_graph_sample_rate IS NOT NULL THEN new_settings := jsonb_set(new_settings, '{graph_sample_rate}', to_jsonb(p_graph_sample_rate)); END IF; IF p_worker_batch_size IS NOT NULL THEN new_settings := jsonb_set(new_settings, '{worker_batch_size}', to_jsonb(p_worker_batch_size)); END IF; IF p_model_router IS NOT NULL THEN new_settings := jsonb_set(new_settings, '{model_router}', to_jsonb(p_model_router)); END IF; IF p_model_reranker IS NOT NULL THEN new_settings := jsonb_set(new_settings, '{model_reranker}', to_jsonb(p_model_reranker)); END IF; IF p_model_extraction IS NOT NULL THEN new_settings := jsonb_set(new_settings, '{model_extraction}', to_jsonb(p_model_extraction)); END IF; IF p_search_limit IS NOT NULL THEN new_settings := jsonb_set(new_settings, '{search_limit}', to_jsonb(p_search_limit)); END IF; IF p_rerank_depth IS NOT NULL THEN new_settings := jsonb_set(new_settings, '{rerank_depth}', to_jsonb(p_rerank_depth)); END IF; IF p_rrf_weight_vec | 2026-01-13T08:49:39 |
https://highlight.io/compare/highlight-vs-dash0 | highlight.io: The open source monitoring platform. Star us on GitHub Star Migrate your Highlight account to LaunchDarkly by February 28, 2026. Learn more on our blog. Product Integrations Pricing Resources Docs Sign in Sign up Explore highlight.io The Open Source Dash0 alternative Session replay of your frontend, fullstack error monitoring, and powerful logging. Get started for free Live demo Highlight.io vs Dash0 A detailed comparison of Dash0 and Highlight.io General Unlimited Team Members Support Ticket Integrations Self-hosted Options Analytics Integrations Self-serve Setup Session Replay Session Commenting Session Sharing Privacy SDKs Embedded, fullstack error monitoring Canvas & WebGL Recording Shadow DOM Recording Error Monitoring Embedded Session Replay Error Sharing Support for Backend SDKs Agent-less architecture Logging Frontend logging Backend logging Embedded replay and stacktraces Agent-less architecture What makes us different? Highlight.io is open source and transparent Highlight.io is built with transparency at its core, with a permissive license . Not only do we work in the open, but we also expose what we're working on, on our roadmap . The fact that Highlight.io is open source also makes it easy to integrate and build your own tools on-top of it, an advantage closed-source products like Dash0 can't offer. Highlight.io constantly ships new features At Highlight.io, we ship quickly. We update our changelog with a recap of new features biweekly, and we share when these features are completed in our public roadmap . Plus, our community keeps pushing us to do more, so we're constantly adding new integrations . We work hard to keep Highlight.io ahead of the curve, and we're not afraid to show off our secret sauce. Full-stack Observability While Dash0 provides a set of separate features for logging, it does not support error monitoring or session replay. Highlight.io enables teams to monitor and optimize their entire tech stack, pairing server-side infrastructure with your frontend web applications. This makes Highlight.io a more comprehensive solution for developers who need to monitor their entire tech stack, in a simple, easy to implement solution. Master OpenTelemetry with our Free Comprehensive Course From fundamentals to advanced implementations, learn how OpenTelemetry can transform your engineering team's observability practices. Ideal for engineering leaders and developers building production-ready monitoring solutions. Start Learning Our customers Highlight powers forward-thinking companies. More about our customers → Don't take our word. Read our customer review section → Highlight helps us catch bugs that would otherwise go undetected and makes it easy to replicate and debug them. Max Musing , Founder & CEO Highlight weaves together the incredible, varied, and complex interactions of our users into something understandable and actionable. Kai Hess , Founding Product Designer I love Highlight because not only does it help me debug more quickly, but it gives me insight into how customers are actually using our product. Meryl Dakin , Founding Software Engineer Highlight has helped us win over several customers by making it possible for us to provide hands-on support, based on a detailed understanding of what each user was doing. Neil Raina , CTO Highlight helps us catch bugs that would otherwise go undetected and makes it easy to replicate and debug them. Max Musing , Founder & CEO Highlight weaves together the incredible, varied, and complex interactions of our users into something understandable and actionable. Kai Hess , Founding Product Designer I love Highlight because not only does it help me debug more quickly, but it gives me insight into how customers are actually using our product. Meryl Dakin , Founding Software Engineer Highlight has helped us win over several customers by making it possible for us to provide hands-on support, based on a detailed understanding of what each user was doing. Neil Raina , CTO Try Highlight Today Get the visibility you need Get started for free Product Pricing Sign up Features Privacy & Security Customers Session Replay Error Monitoring Logging Competitors LogRocket Hotjar Fullstory Smartlook Inspectlet Datadog Sentry Site24x7 Sprig Mouseflow Pendo Heap LogicMonitor Last9 Axiom Better Stack HyperDX Dash0 Developers Changelog Documentation Ambassadors Frameworks React Next.js Angular Gatsby.js Svelte.js Vue.js Express Golang Next.js Node.js Rails Hono Contact & Legal Terms of Service Privacy Policy Careers sales@highlight.io security@highlight.io [object Object] | 2026-01-13T08:49:39 |
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https://dev.to/savagepixie/series/1611 | Learning JavaScript Series' Articles - 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 Learning JavaScript Series' Articles Back to SavagePixie's Series My New Friends filter() and map() SavagePixie SavagePixie SavagePixie Follow Jul 24 '19 My New Friends filter() and map() # todayilearned # javascript # beginners # webdev 113 reactions Comments 14 comments 2 min read Destructuring Assignment in JavaScript SavagePixie SavagePixie SavagePixie Follow Jul 25 '19 Destructuring Assignment in JavaScript # javascript # beginners # webdev 13 reactions Comments 2 comments 2 min read Butchering Arrays (or not) with splice() and slice() SavagePixie SavagePixie SavagePixie Follow Jul 27 '19 Butchering Arrays (or not) with splice() and slice() # todayilearned # javascript # beginners 12 reactions Comments Add Comment 3 min read Lookaheads in Javascript SavagePixie SavagePixie SavagePixie Follow Aug 1 '19 Lookaheads in Javascript # todayilearned # javascript # beginners 64 reactions Comments 8 comments 3 min read Wielding replace with all its power SavagePixie SavagePixie SavagePixie Follow Sep 3 '19 Wielding replace with all its power # todayilearned # javascript # devtips 12 reactions Comments Add Comment 4 min read Understanding reduce in JavaScript SavagePixie SavagePixie SavagePixie Follow Sep 5 '19 Understanding reduce in JavaScript # javascript # beginners # webdev 148 reactions Comments 11 comments 3 min read An introduction to promises in JavaScript SavagePixie SavagePixie SavagePixie Follow Nov 23 '19 An introduction to promises in JavaScript # javascript # asynchronous 90 reactions Comments 4 comments 4 min read Cool Object methods in JavaScript SavagePixie SavagePixie SavagePixie Follow Dec 4 '19 Cool Object methods in JavaScript # javascript # devjournal # devtips 60 reactions Comments 6 comments 3 min read 💎 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 | 2026-01-13T08:49:39 |
https://highlight.io/error-monitoring | highlight.io: The open source monitoring platform. Star us on GitHub Star Migrate your Highlight account to LaunchDarkly by February 28, 2026. Learn more on our blog. Product Integrations Pricing Resources Docs Sign in Sign up Explore highlight.io Error monitoring for today’s developer. Error and exception monitoring built for modern web apps. Get started in seconds. Get started Live demo Request a Demo Call Uncover the issues user's face. Reproduce hard-to-crack bugs with error monitoring across your stack. Instant Stacktrace Enhancements. Enhanced stacktraces from your client and server-side errors, with optional uploading in CI. Read the Docs User context from the get-go. Understand the actual users affected by a given error. Keep your customers happy. Read the Docs From a “click” to a server-side error. Visualize a complete, cohesive view of your entire stack. All the way from a user clicking a button to a server-side error. Get started for free Support for all the modern frameworks. Whether it’s React, Angular, or even vanilla JS, we got you covered. Get started with just a few lines of code. View all frameworks import { H } from '@highlight-run/node' H.init({projectID: '<YOUR_PROJECT_ID>'}) const onError = (request, error) => { const parsed = H.parseHeaders(request.headers) H.consumeError(error, parsed.secureSessionId, parsed.requestId) } A few lines of code. That’s it. Turn on Session Replay in seconds and instantly get the visibility you need. Framework Docs import { H } from '@highlight-run/node' H.init({projectID: '<YOUR_PROJECT_ID>'}) const onError = (request, error) => { const parsed = H.parseHeaders(request.headers) H.consumeError(error, parsed.secureSessionId, parsed.requestId) } Above Example in Node.js Other Frameworks → Master OpenTelemetry with our Free Comprehensive Course From fundamentals to advanced implementations, learn how OpenTelemetry can transform your engineering team's observability practices. Ideal for engineering leaders and developers building production-ready monitoring solutions. Start Learning Our customers Highlight powers forward-thinking companies. More about our customers → Don't take our word. Read our customer review section → Highlight helps us catch bugs that would otherwise go undetected and makes it easy to replicate and debug them. Max Musing , Founder & CEO Highlight weaves together the incredible, varied, and complex interactions of our users into something understandable and actionable. Kai Hess , Founding Product Designer I love Highlight because not only does it help me debug more quickly, but it gives me insight into how customers are actually using our product. Meryl Dakin , Founding Software Engineer Highlight has helped us win over several customers by making it possible for us to provide hands-on support, based on a detailed understanding of what each user was doing. Neil Raina , CTO Highlight helps us catch bugs that would otherwise go undetected and makes it easy to replicate and debug them. Max Musing , Founder & CEO Highlight weaves together the incredible, varied, and complex interactions of our users into something understandable and actionable. Kai Hess , Founding Product Designer I love Highlight because not only does it help me debug more quickly, but it gives me insight into how customers are actually using our product. Meryl Dakin , Founding Software Engineer Highlight has helped us win over several customers by making it possible for us to provide hands-on support, based on a detailed understanding of what each user was doing. Neil Raina , CTO Try Highlight Today Get the visibility you need Get started for free Product Pricing Sign up Features Privacy & Security Customers Session Replay Error Monitoring Logging Competitors LogRocket Hotjar Fullstory Smartlook Inspectlet Datadog Sentry Site24x7 Sprig Mouseflow Pendo Heap LogicMonitor Last9 Axiom Better Stack HyperDX Dash0 Developers Changelog Documentation Ambassadors Frameworks React Next.js Angular Gatsby.js Svelte.js Vue.js Express Golang Next.js Node.js Rails Hono Contact & Legal Terms of Service Privacy Policy Careers sales@highlight.io security@highlight.io [object Object] | 2026-01-13T08:49:39 |
https://highlight.io/compare/highlight-vs-smartlook | highlight.io: The open source monitoring platform. Star us on GitHub Star Migrate your Highlight account to LaunchDarkly by February 28, 2026. Learn more on our blog. Product Integrations Pricing Resources Docs Sign in Sign up Explore highlight.io The Open Source Smartlook alternative Pixel-perfect video replay of your frontend web application. Step into the shoes of your users. Get started for free Live demo Highlight.io vs Smartlook A detailed comparison of Smartlook and Highlight.io General Unlimited Team Members Support Ticket Integrations Self-hosted Options Analytics Integrations Self-serve Setup Session Replay Session Commenting Heatmaps Session Sharing Privacy SDKs Embedded, fullstack error monitoring Canvas & WebGL Recording Shadow DOM Recording Error Monitoring Embedded Session Replay Error Sharing Support for Backend SDKs Logging Frontend logging Backend logging Embedded replay and stacktraces What makes us different? Highlight.io is open source and transparent Highlight.io is built with transparency at its core, with a permissive license . Not only do we work in the open, but we also expose what we're working on, on our roadmap . The fact that Highlight.io is open source also makes it easy to integrate and build your own tools on-top of it, an advantage closed-source products like Smartlook can't offer. Highlight.io constantly ships new features At Highlight.io, we ship quickly. We update our changelog with a recap of new features biweekly, and we share when these features are completed in our public roadmap . Plus, our community keeps pushing us to do more, so we're constantly adding new integrations . We work hard to keep Highlight.io ahead of the curve, and we're not afraid to show off our secret sauce. Engineers vs Marketers Highlight and Smartlook have two very different target audiences. While Highlight is a full-stack monitoring solution designed for monitoring web applications, Smartlook is a tool that offers features such as heatmaps and user feedback to help marketers optimize conversion rates for their landing pages. While both tools may offer some overlapping features such as session replay, Highlight is focused on providing monitoring and error-tracking for engineers and product teams, not marketers. Full-stack Monitoring Smartlook is primarily focused on providing session replay and analytics for product folks to gain insights into user behavior and optimize their websites for conversions. However, it has limited monitoring capabilities compared to Highlight.io, which is a full-stack tool designed for engineers. Highlight.io offers session replay, error monitoring, and log analysis, allowing developers to quickly identify and diagnose issues across their entire stack. With its in-depth monitoring capabilities, Highlight.io can help developers improve the overall performance and reliability of their applications. Pricing Smartlook offers a free plan that allows users to record up to 3000 sessions per month, with access to all features including heatmap analysis and form analysis views. Their paid plans start at $55 per month and offer additional features such as event tracking, custom data properties, and integrations with third-party tools. Pricing for larger organizations is available upon request. Highlight offers a free plan that includes 500 sessions and 1,000 errors per month, with unlimited seats for all plans including the free version.' Master OpenTelemetry with our Free Comprehensive Course From fundamentals to advanced implementations, learn how OpenTelemetry can transform your engineering team's observability practices. Ideal for engineering leaders and developers building production-ready monitoring solutions. Start Learning Our customers Highlight powers forward-thinking companies. More about our customers → Don't take our word. Read our customer review section → Highlight helps us catch bugs that would otherwise go undetected and makes it easy to replicate and debug them. Max Musing , Founder & CEO Highlight weaves together the incredible, varied, and complex interactions of our users into something understandable and actionable. Kai Hess , Founding Product Designer I love Highlight because not only does it help me debug more quickly, but it gives me insight into how customers are actually using our product. Meryl Dakin , Founding Software Engineer Highlight has helped us win over several customers by making it possible for us to provide hands-on support, based on a detailed understanding of what each user was doing. Neil Raina , CTO Highlight helps us catch bugs that would otherwise go undetected and makes it easy to replicate and debug them. Max Musing , Founder & CEO Highlight weaves together the incredible, varied, and complex interactions of our users into something understandable and actionable. Kai Hess , Founding Product Designer I love Highlight because not only does it help me debug more quickly, but it gives me insight into how customers are actually using our product. Meryl Dakin , Founding Software Engineer Highlight has helped us win over several customers by making it possible for us to provide hands-on support, based on a detailed understanding of what each user was doing. Neil Raina , CTO Try Highlight Today Get the visibility you need Get started for free Product Pricing Sign up Features Privacy & Security Customers Session Replay Error Monitoring Logging Competitors LogRocket Hotjar Fullstory Smartlook Inspectlet Datadog Sentry Site24x7 Sprig Mouseflow Pendo Heap LogicMonitor Last9 Axiom Better Stack HyperDX Dash0 Developers Changelog Documentation Ambassadors Frameworks React Next.js Angular Gatsby.js Svelte.js Vue.js Express Golang Next.js Node.js Rails Hono Contact & Legal Terms of Service Privacy Policy Careers sales@highlight.io security@highlight.io [object Object] | 2026-01-13T08:49:39 |
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Posts Relevant Latest Top Vibecoding as a Legitimate Way to Bring Ideas to Life Jaclyn McMillan Jaclyn McMillan Jaclyn McMillan Follow Jan 10 Vibecoding as a Legitimate Way to Bring Ideas to Life # ai # vibecoding # chatgpt # vscode Comments Add Comment 3 min read I Fired the "One-Click" AI Builders: How I Built a React Portfolio with Gemini (Without Knowing React) Aaditya Thakur Aaditya Thakur Aaditya Thakur Follow Jan 13 I Fired the "One-Click" AI Builders: How I Built a React Portfolio with Gemini (Without Knowing React) # ai # webdev # career # beginners Comments Add Comment 3 min read I made a Meme Creator because I hate watermarks Brian Zavala Brian Zavala Brian Zavala Follow Jan 13 I made a Meme Creator because I hate watermarks # opensource # react # webdev # javascript Comments Add Comment 3 min read PLI 7.10 - Bypassing AI Knowledge Cutoffs with Auto-Data Synthesis seridarivus 13 seridarivus 13 seridarivus 13 Follow Jan 10 PLI 7.10 - Bypassing AI Knowledge Cutoffs with Auto-Data Synthesis # ai # devops # api # tdd 1 reaction Comments Add Comment 1 min read Claude Code Couldn't Fix My Workflows Automatically, So I Built a System to Fix Them Z. Song Z. Song Z. Song Follow Jan 9 Claude Code Couldn't Fix My Workflows Automatically, So I Built a System to Fix Them # claude # skill Comments Add Comment 2 min read Building a SaaS with Claude Code: Why Experience and Framework Choice Matter José José José Follow Jan 8 Building a SaaS with Claude Code: Why Experience and Framework Choice Matter # claude # cloud Comments Add Comment 3 min read 20 Plus AI Coding Tools for Dev Workflows in 2026 Devin Rosario Devin Rosario Devin Rosario Follow Jan 7 20 Plus AI Coding Tools for Dev Workflows in 2026 # ai # devops # opensource # programming Comments Add Comment 6 min read 🚀 I shipped 47 features in ONE WEEK with Claude and it was INSANE 🔥 Niclas Olofsson Niclas Olofsson Niclas Olofsson Follow Jan 5 🚀 I shipped 47 features in ONE WEEK with Claude and it was INSANE 🔥 # vibecoding # ai # claudecode # programming 2 reactions Comments Add Comment 3 min read Help Us Understand How LLM Hallucinations Impact Their Use in Software Development! Emil Hacklin Emil Hacklin Emil Hacklin Follow Jan 4 Help Us Understand How LLM Hallucinations Impact Their Use in Software Development! # discuss # ai # chatgpt Comments Add Comment 1 min read HTMX in 2026: Why Hypermedia is Dominating the Modern Web Del Rosario Del Rosario Del Rosario Follow Jan 7 HTMX in 2026: Why Hypermedia is Dominating the Modern Web # htmx # webdev # architecture # frontend Comments Add Comment 5 min read I’m Not Technical But I’m Rebuilding Random Video Chat by Fixing the Parts Code Never Touched mark gjura mark gjura mark gjura Follow Jan 2 I’m Not Technical But I’m Rebuilding Random Video Chat by Fixing the Parts Code Never Touched # ai # devops # games Comments Add Comment 3 min read Why Is Controlling the Output of Generative AI Systems Important? tracko tracko tracko Follow Dec 29 '25 Why Is Controlling the Output of Generative AI Systems Important? # webdev # programming # ai # beginners Comments Add Comment 3 min read Solved: Understanding PPC Management — What Are the Most Important Factors Today? Darian Vance Darian Vance Darian Vance Follow Dec 28 '25 Solved: Understanding PPC Management — What Are the Most Important Factors Today? # devops # programming # tutorial # cloud Comments Add Comment 8 min read How Does a Senior Program Manager Use Microsoft Planner to Stay on Track? Alex Rodov Alex Rodov Alex Rodov Follow Dec 25 '25 How Does a Senior Program Manager Use Microsoft Planner to Stay on Track? # ai # agents # microsoft # powerplatform Comments Add Comment 3 min read How to Build AI-Based Recommendation Systems in Mobile Apps (2026 Guide) Eira Wexford Eira Wexford Eira Wexford Follow Dec 26 '25 How to Build AI-Based Recommendation Systems in Mobile Apps (2026 Guide) # ai # appdevelopment # devops Comments Add Comment 8 min read From Scripts to Systems: Agent-Driven Shell Automation in 2026 Del Rosario Del Rosario Del Rosario Follow Jan 8 From Scripts to Systems: Agent-Driven Shell Automation in 2026 # bash # automation # ai # devops Comments Add Comment 4 min read Why I Changed Humoropedia GPT Launch Date, Or Product Hunt Launch Tips You Can Use Roman Marshanski Roman Marshanski Roman Marshanski Follow Dec 25 '25 Why I Changed Humoropedia GPT Launch Date, Or Product Hunt Launch Tips You Can Use # producthunt # chatgpt # ai Comments Add Comment 5 min read How Machine Learning Personalizes User Experiences in Meditation Apps Ava Isley Ava Isley Ava Isley Follow Dec 23 '25 How Machine Learning Personalizes User Experiences in Meditation Apps # ai # software # app Comments Add Comment 5 min read loading... #discuss Discussion threads targeting the whole community #watercooler Light, and off-topic conversation. 💎 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 Vibe Coding Forem — Discussing AI software development, and showing off what we're building. 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https://vibe.forem.com/dhren2019 | Dhren - Vibe Coding 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 Vibe Coding Forem Close Follow User actions Dhren 404 bio not found Location Spain Joined Joined on Jan 11, 2021 github website More info about @dhren2019 Badges Five Year Club This badge celebrates the longevity of those who have been a registered member of the DEV Community for at least five years. Got it Close Writing Debut Awarded for writing and sharing your first DEV post! Continue sharing your work to earn the 4 Week Writing Streak Badge. Got it Close Four Year Club This badge celebrates the longevity of those who have been a registered member of the DEV Community for at least four years. Got it Close Three Year Club This badge celebrates the longevity of those who have been a registered member of the DEV Community for at least three years. Got it Close Two Year Club This badge celebrates the longevity of those who have been a registered member of the DEV Community for at least two years. Got it Close One Year Club This badge celebrates the longevity of those who have been a registered member of the DEV Community for at least one year. Got it Close Post 1 post published Comment 4 comments written Tag 3 tags followed AI News Hub — A Complete AI/Tech News Aggregator SaaS You Fully Own 🔥 Dhren Dhren Dhren Follow Dec 2 '25 AI News Hub — A Complete AI/Tech News Aggregator SaaS You Fully Own 🔥 # ai # cloud # api # database Comments Add Comment 2 min read Want to connect with Dhren? Create an account to connect with Dhren. You can also sign in below to proceed if you already have an account. Create Account Already have an account? Sign in loading... 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV Vibe Coding Forem — Discussing AI software development, and showing off what we're building. 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 . Vibe Coding Forem © 2025 - 2026. Where anyone can code, with a bit of creativity and some AI help. Log in Create account | 2026-01-13T08:49:39 |
https://vibe.forem.com/vibe_youtube/nicholas-renotte-i-spent-6-weeks-using-reinforcement-learning-to-beat-this-godot-game-1jn4 | Nicholas Renotte: I Spent 6 Weeks using Reinforcement Learning to Beat This GoDot Game - Vibe Coding 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 Vibe Coding 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 Vibe YouTube Posted on Oct 11, 2025 Nicholas Renotte: I Spent 6 Weeks using Reinforcement Learning to Beat This GoDot Game # ai # opensource # git I dove headfirst into training a Stable Baselines 3 agent in GoDotRL over six weeks, sharing all the juicy lessons on hooking it up, reward-shaping hacks, and crafting rock-solid GoDot environments for RL. The full code, logs, and 14 iterations are up on GitHub, plus I’ll happily share those hefty DMG files if you need them. Along the way I geeked out on a mining-optimization demo, got toasts sent to Claude (we’re cool now), and even prepped for a live talk in Florida. Huge props to Ed Beeching and Brackeys for the inspo—hit me up on LinkedIn, GitHub, Discord, Patreon, or Facebook if you want to nerd out more! 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 Vibe YouTube Follow Joined Jul 9, 2025 More from Vibe YouTube Tech With Tim: Interview Coder Just Leaked Users’ Full Names and Where They Got Offers # api # git # career # discuss Burke Holland: The complete guide to Agent Skills # ai # opensource Krish Naik: 2.0 Ultimate Data science Bootcamp Induction Session # ai 💎 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 Vibe Coding Forem — Discussing AI software development, and showing off what we're building. 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 . Vibe Coding Forem © 2025 - 2026. Where anyone can code, with a bit of creativity and some AI help. Log in Create account | 2026-01-13T08:49:39 |
https://dev.to/allenheltondev | Allen Helton - DEV Community Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. 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A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account DEV Community Close Follow User actions Allen Helton AWS Serverless Hero • Father • Tech Blogger • Podcast Host • Poultry Rancher Location Texas Joined Joined on Apr 5, 2019 Personal website https://readysetcloud.io github website twitter website Work Ecosystem Engineer at Momento Six Year Club This badge celebrates the longevity of those who have been a registered member of the DEV Community for at least six years. Got it Close Five Year Club This badge celebrates the longevity of those who have been a registered member of the DEV Community for at least five years. Got it Close Writing Debut Awarded for writing and sharing your first DEV post! Continue sharing your work to earn the 4 Week Writing Streak Badge. Got it Close Four Year Club This badge celebrates the longevity of those who have been a registered member of the DEV Community for at least four years. Got it Close 1 Week Community Wellness Streak For actively engaging with the community by posting at least 2 comments in a single week. Got it Close 16 Week Writing Streak You are a writing star! You've written at least one post per week for 16 straight weeks. Congratulations! Got it Close Three Year Club This badge celebrates the longevity of those who have been a registered member of the DEV Community for at least three years. Got it Close Two Year Club This badge celebrates the longevity of those who have been a registered member of the DEV Community for at least two years. Got it Close Top 7 Awarded for having a post featured in the weekly "must-reads" list. 🙌 Got it Close 8 Week Writing Streak The streak continues! You've written at least one post per week for 8 consecutive weeks. Unlock the 16-week badge next! Got it Close 4 Week Writing Streak You've posted at least one post per week for 4 consecutive weeks! Got it Close One Year Club This badge celebrates the longevity of those who have been a registered member of the DEV Community for at least one year. Got it Close More info about @allenheltondev Organizations AWS Heroes AWS Community Builders Momento Skills/Languages AWS, Node.js, serverless, noSQL, Currently learning Event Driven Architectures, WebSockets Post 149 posts published Comment 44 comments written Tag 9 tags followed When serving images from S3 stopped being good enough Allen Helton Allen Helton Allen Helton Follow for AWS Heroes Jan 7 When serving images from S3 stopped being good enough # serverless # blogging 2 reactions Comments Add Comment 6 min read Want to connect with Allen Helton? Create an account to connect with Allen Helton. You can also sign in below to proceed if you already have an account. Create Account Already have an account? Sign in The Real Cost of Swapping Infrastructure Allen Helton Allen Helton Allen Helton Follow Dec 15 '25 The Real Cost of Swapping Infrastructure # infrastructure # architecture # platformengineering 1 reaction Comments Add Comment 3 min read Breakthroughs are just boring improvements that pile up Allen Helton Allen Helton Allen Helton Follow Nov 24 '25 Breakthroughs are just boring improvements that pile up # engineering # innovation Comments Add Comment 6 min read Cache Rebalancing Was Broken. Here's How They Fixed It. Allen Helton Allen Helton Allen Helton Follow Nov 18 '25 Cache Rebalancing Was Broken. Here's How They Fixed It. # caching # distributedsystems # cloud 2 reactions Comments Add Comment 3 min read Designing smarter caches with Valkey 9.0's numbered databases Allen Helton Allen Helton Allen Helton Follow Nov 7 '25 Designing smarter caches with Valkey 9.0's numbered databases # caching # valkey # distributedsystems Comments Add Comment 5 min read This is the best new feature from POST/CON Allen Helton Allen Helton Allen Helton Follow May 1 '24 This is the best new feature from POST/CON # tech # postman # api 1 reaction Comments Add Comment 7 min read Serverless Postgres with Neon - My first impression Allen Helton Allen Helton Allen Helton Follow for AWS Heroes Apr 24 '24 Serverless Postgres with Neon - My first impression # serverless # database # dx 6 reactions Comments Add Comment 8 min read Show your personality Allen Helton Allen Helton Allen Helton Follow for AWS Heroes Apr 17 '24 Show your personality # personalgrowth # career 5 reactions Comments Add Comment 6 min read How to trigger events every 30 seconds in AWS Allen Helton Allen Helton Allen Helton Follow for AWS Heroes Apr 10 '24 How to trigger events every 30 seconds in AWS # serverless # aws # stepfunctions 9 reactions Comments 1 comment 11 min read I didn't know it did that - Postman Postbot Allen Helton Allen Helton Allen Helton Follow for AWS Heroes Apr 3 '24 I didn't know it did that - Postman Postbot # api # postman # ai 4 reactions Comments Add Comment 9 min read Be an enabler Allen Helton Allen Helton Allen Helton Follow for AWS Heroes Mar 27 '24 Be an enabler # personalgrowth # career 9 reactions Comments 5 comments 6 min read How I Built Automatic Click-Tracking and Content Spotlights For My Website Allen Helton Allen Helton Allen Helton Follow for AWS Heroes Feb 21 '24 How I Built Automatic Click-Tracking and Content Spotlights For My Website # serverless # automation # eventdriven 2 reactions Comments Add Comment 9 min read How to create a Slack workflow with webhooks in Momento Topics Allen Helton Allen Helton Allen Helton Follow for Momento Feb 1 '24 How to create a Slack workflow with webhooks in Momento Topics # serverless # momento # eventdriven Comments Add Comment 4 min read Building For Interactivity: When Async Is Not Enough Allen Helton Allen Helton Allen Helton Follow for AWS Heroes Jan 17 '24 Building For Interactivity: When Async Is Not Enough # ux # api # design 4 reactions Comments 1 comment 8 min read How I Built A Santa Chatbot To Mess With My Brother Allen Helton Allen Helton Allen Helton Follow for AWS Heroes Dec 16 '23 How I Built A Santa Chatbot To Mess With My Brother # serverless # ai # momento 5 reactions Comments 1 comment 14 min read This Is NOT A Re:Invent Recap Allen Helton Allen Helton Allen Helton Follow for AWS Heroes Dec 6 '23 This Is NOT A Re:Invent Recap # personalgrowth # community # aws 2 reactions Comments Add Comment 7 min read Using AI To Go From JSON to API in Seconds Allen Helton Allen Helton Allen Helton Follow for AWS Heroes Nov 15 '23 Using AI To Go From JSON to API in Seconds # ai # api # dx 5 reactions Comments Add Comment 8 min read How I Used Amazon Bedrock to Write, Schedule, and Post My Tweets Allen Helton Allen Helton Allen Helton Follow for AWS Heroes Nov 1 '23 How I Used Amazon Bedrock to Write, Schedule, and Post My Tweets # serverless # ai # automation 4 reactions Comments 3 comments 8 min read WebSockets, gRPC, MQTT, and SSE - Which Real-Time Notification Method Is For You? Allen Helton Allen Helton Allen Helton Follow for AWS Heroes Oct 18 '23 WebSockets, gRPC, MQTT, and SSE - Which Real-Time Notification Method Is For You? # tech # eventdriven # websockets # postman 5 reactions Comments Add Comment 7 min read Test-Driven Development with AI: The Right Way to Code Using Generative AI Allen Helton Allen Helton Allen Helton Follow for AWS Heroes Oct 4 '23 Test-Driven Development with AI: The Right Way to Code Using Generative AI # applicationdevelopment # ai 13 reactions Comments 2 comments 8 min read Seriously, Write Your API Spec First Allen Helton Allen Helton Allen Helton Follow for AWS Heroes Sep 27 '23 Seriously, Write Your API Spec First # applicationdevelopment # api 2 reactions Comments 2 comments 5 min read Turn Any API Into An Event-Driven Engine Allen Helton Allen Helton Allen Helton Follow for AWS Heroes Sep 20 '23 Turn Any API Into An Event-Driven Engine # api # eventdriven # opensource 6 reactions Comments Add Comment 7 min read Momento - A Front-end Developer’s Best Kept Secret 🤫 Allen Helton Allen Helton Allen Helton Follow for Momento Sep 19 '23 Momento - A Front-end Developer’s Best Kept Secret 🤫 # webdev # ui # momento 1 reaction Comments Add Comment 6 min read API keys vs tokens - what’s the difference? Allen Helton Allen Helton Allen Helton Follow for Momento Sep 7 '23 API keys vs tokens - what’s the difference? # security # api 2 reactions Comments 1 comment 4 min read How to Process Stripe Subscriptions In Your Serverless Apps Allen Helton Allen Helton Allen Helton Follow for AWS Heroes Sep 6 '23 How to Process Stripe Subscriptions In Your Serverless Apps # serverless # saas # stripe 5 reactions Comments 3 comments 8 min read Building an interactive live reaction app with Next.js and Momento🎯 Allen Helton Allen Helton Allen Helton Follow for Momento Aug 29 '23 Building an interactive live reaction app with Next.js and Momento🎯 # nextjs # websocket # frontend 10 reactions Comments Add Comment 9 min read Is Coding On Its Way Out? Allen Helton Allen Helton Allen Helton Follow for AWS Heroes Aug 23 '23 Is Coding On Its Way Out? # applicationdevelopment # ai # programming 15 reactions Comments 5 comments 5 min read How we built Momento Topics, a serverless WebSocket service Allen Helton Allen Helton Allen Helton Follow for Momento Aug 22 '23 How we built Momento Topics, a serverless WebSocket service # momento # websocket # serverless Comments 2 comments 8 min read A Beginner's Guide to the Serverless Application Model (SAM) Allen Helton Allen Helton Allen Helton Follow for AWS Heroes Aug 16 '23 A Beginner's Guide to the Serverless Application Model (SAM) # serverless # aws # applicationdevelopment 14 reactions Comments 2 comments 8 min read Why are WebSockets so hard? Allen Helton Allen Helton Allen Helton Follow for Momento Aug 15 '23 Why are WebSockets so hard? # frontend # momento # websockets 2 reactions Comments 3 comments 7 min read What Is "Production-Grade" Software? Allen Helton Allen Helton Allen Helton Follow for AWS Heroes Aug 9 '23 What Is "Production-Grade" Software? # applicationdevelopment # programming # observability 2 reactions Comments Add Comment 6 min read Solo SaaS - How I Built a Serverless Workout App By Myself Allen Helton Allen Helton Allen Helton Follow for AWS Heroes Jul 31 '23 Solo SaaS - How I Built a Serverless Workout App By Myself # applicationdevelopment # serverless # aws 11 reactions Comments Add Comment 9 min read Prompt Engineering: The Future of AI-Driven Development Allen Helton Allen Helton Allen Helton Follow for AWS Heroes Jun 14 '23 Prompt Engineering: The Future of AI-Driven Development # ai # chatgpt # development 11 reactions Comments 2 comments 8 min read Making Sense of Cross-Posting: Knowing Where And Why to Publish Your Content Allen Helton Allen Helton Allen Helton Follow for AWS Heroes Jun 7 '23 Making Sense of Cross-Posting: Knowing Where And Why to Publish Your Content # blogging # serverless 8 reactions Comments Add Comment 11 min read ChatGPT Changed How I Write Software Allen Helton Allen Helton Allen Helton Follow for AWS Heroes May 31 '23 ChatGPT Changed How I Write Software # ai # chatgpt 14 reactions Comments 2 comments 8 min read Why Community Is The Best Source of Growth For Your Tech Career Allen Helton Allen Helton Allen Helton Follow for AWS Heroes May 24 '23 Why Community Is The Best Source of Growth For Your Tech Career # tech # aws 3 reactions Comments Add Comment 6 min read Level Up Your Blog With Writer Analytics and Text-to-Speech Allen Helton Allen Helton Allen Helton Follow for AWS Heroes May 17 '23 Level Up Your Blog With Writer Analytics and Text-to-Speech # serverless # automation # blog 3 reactions Comments Add Comment 8 min read Serverless Speed Test: Comparing Lambda, Step Functions, App Runner, and Direct Integrations Allen Helton Allen Helton Allen Helton Follow for AWS Heroes May 10 '23 Serverless Speed Test: Comparing Lambda, Step Functions, App Runner, and Direct Integrations # serverless # aws 3 reactions Comments Add Comment 7 min read Are We Making Lambda Too Hard? Allen Helton Allen Helton Allen Helton Follow for AWS Heroes May 3 '23 Are We Making Lambda Too Hard? # serverless # aws 10 reactions Comments 3 comments 7 min read Build What Matters Allen Helton Allen Helton Allen Helton Follow for AWS Heroes Apr 27 '23 Build What Matters # applicationdevelopment # serverless 4 reactions Comments Add Comment 4 min read The Serverless Toolbox - Tools To Build Serverless Apps Easier Allen Helton Allen Helton Allen Helton Follow for AWS Heroes Apr 19 '23 The Serverless Toolbox - Tools To Build Serverless Apps Easier # serverless # aws 4 reactions Comments 2 comments 6 min read My ChatGPT Workout Generator Just Got Better Allen Helton Allen Helton Allen Helton Follow for AWS Heroes Apr 12 '23 My ChatGPT Workout Generator Just Got Better # applicationdevelopment # serverless 4 reactions Comments Add Comment 6 min read Are Serverless Services Worth It? Allen Helton Allen Helton Allen Helton Follow for AWS Heroes Apr 5 '23 Are Serverless Services Worth It? # applicationdevelopment # serverless 5 reactions Comments Add Comment 7 min read The Solution Architect's Guide to Serverless Allen Helton Allen Helton Allen Helton Follow for AWS Heroes Mar 29 '23 The Solution Architect's Guide to Serverless # solutionsarchitect # serverless 17 reactions Comments 1 comment 8 min read Build Faster and Easier APIs With User Sessions Allen Helton Allen Helton Allen Helton Follow for AWS Heroes Mar 22 '23 Build Faster and Easier APIs With User Sessions # applicationdevelopment # api # serverless 3 reactions Comments Add Comment 6 min read Why API Specs Are the Backbone of Successful Development Allen Helton Allen Helton Allen Helton Follow for AWS Heroes Mar 15 '23 Why API Specs Are the Backbone of Successful Development # applicationdevelopment # api 4 reactions Comments Add Comment 6 min read Building a Serverless Post Scheduler For Static Websites Allen Helton Allen Helton Allen Helton Follow for AWS Heroes Mar 8 '23 Building a Serverless Post Scheduler For Static Websites # serverless # development 4 reactions Comments 1 comment 7 min read Serverless Lessons - Location Is Everything! Allen Helton Allen Helton Allen Helton Follow for AWS Heroes Mar 1 '23 Serverless Lessons - Location Is Everything! # serverless # development 6 reactions Comments Add Comment 7 min read Automate Your Life and Save Time By Going Serverless Allen Helton Allen Helton Allen Helton Follow for AWS Heroes Feb 22 '23 Automate Your Life and Save Time By Going Serverless # watercooler # showcase # gratitude # love 6 reactions Comments Add Comment 6 min read 5 Tips for Building the Best Developer Experience Possible Allen Helton Allen Helton Allen Helton Follow for AWS Heroes Feb 15 '23 5 Tips for Building the Best Developer Experience Possible # ai # productivity # career 6 reactions Comments Add Comment 9 min read ChatGPT Is My New Personal Trainer Allen Helton Allen Helton Allen Helton Follow for AWS Heroes Feb 8 '23 ChatGPT Is My New Personal Trainer # fintech # productivity # featurerequest 25 reactions Comments 4 comments 8 min read The Risks of Moving Too Quickly with Serverless Development Allen Helton Allen Helton Allen Helton Follow for AWS Heroes Feb 1 '23 The Risks of Moving Too Quickly with Serverless Development # serverless # aws 8 reactions Comments 1 comment 9 min read Growing Your Career in the Evolving Tech Field Allen Helton Allen Helton Allen Helton Follow for AWS Heroes Jan 25 '23 Growing Your Career in the Evolving Tech Field # discuss # softwareengineering # development # productivity 6 reactions Comments Add Comment 9 min read I Have Good News And Bad News About Your Cloud Metrics Allen Helton Allen Helton Allen Helton Follow for AWS Heroes Jan 18 '23 I Have Good News And Bad News About Your Cloud Metrics # discuss # design # webdev # a11y 7 reactions Comments 2 comments 6 min read How I Built An Open Source Serverless Newsletter Platform Allen Helton Allen Helton Allen Helton Follow for AWS Heroes Jan 11 '23 How I Built An Open Source Serverless Newsletter Platform # serverless # blogging # opensource 12 reactions Comments Add Comment 8 min read Serverless In 2023 - A Shift In Focus Allen Helton Allen Helton Allen Helton Follow for AWS Heroes Jan 4 '23 Serverless In 2023 - A Shift In Focus # serverless # observability 9 reactions Comments Add Comment 5 min read 2022 in Serverless Allen Helton Allen Helton Allen Helton Follow for AWS Heroes Dec 28 '22 2022 in Serverless # github 7 reactions Comments Add Comment 11 min read Lessons Learned From Writing 50 Blog Posts In A Year Allen Helton Allen Helton Allen Helton Follow for AWS Heroes Dec 21 '22 Lessons Learned From Writing 50 Blog Posts In A Year # personalgrowth # blog # career 15 reactions Comments 4 comments 6 min read I Built a Serverless App To Cross-Post My Blogs Allen Helton Allen Helton Allen Helton Follow for AWS Heroes Dec 14 '22 I Built a Serverless App To Cross-Post My Blogs # serverless # aws # blog 10 reactions Comments Add Comment 8 min read I Don't Know What Serverless Is Anymore Allen Helton Allen Helton Allen Helton Follow for AWS Heroes Dec 7 '22 I Don't Know What Serverless Is Anymore # aws # serverless 11 reactions Comments 1 comment 5 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://highlight.io/compare/highlight-vs-sentry | highlight.io: The open source monitoring platform. Star us on GitHub Star Migrate your Highlight account to LaunchDarkly by February 28, 2026. Learn more on our blog. Product Integrations Pricing Resources Docs Sign in Sign up Explore highlight.io The Open Source Sentry alternative Session replay of your frontend, fullstack error monitoring, and powerful logging. Get started for free Live demo Highlight.io vs Sentry A detailed comparison of Sentry and Highlight.io General Unlimited Team Members Support Ticket Integrations Self-hosted Options Analytics Integrations Self-serve Setup Session Replay Session Commenting Session Sharing Privacy SDKs Embedded, fullstack error monitoring Canvas & WebGL Recording Shadow DOM Recording Error Monitoring Embedded Session Replay Error Sharing Support for Backend SDKs Agent-less architecture Logging Frontend logging Backend logging Embedded replay and stacktraces Agent-less architecture What makes us different? Highlight.io is open source and transparent Highlight.io is built with transparency at its core, with a permissive license . Not only do we work in the open, but we also expose what we're working on, on our roadmap . The fact that Highlight.io is open source also makes it easy to integrate and build your own tools on-top of it, an advantage closed-source products like Sentry can't offer. Highlight.io constantly ships new features At Highlight.io, we ship quickly. We update our changelog with a recap of new features biweekly, and we share when these features are completed in our public roadmap . Plus, our community keeps pushing us to do more, so we're constantly adding new integrations . We work hard to keep Highlight.io ahead of the curve, and we're not afraid to show off our secret sauce. Full-stack Observability While Sentry provides a comprehensive set of separate features for error monitoring and session replay, it does not support logging. Highlight.io enables teams to monitor and optimize their entire tech stack, pairing server-side infrastructure with your frontend web applications. This makes Highlight.io a more comprehensive solution for developers who need to monitor their entire tech stack, in a simple, easy to implement solution. Master OpenTelemetry with our Free Comprehensive Course From fundamentals to advanced implementations, learn how OpenTelemetry can transform your engineering team's observability practices. Ideal for engineering leaders and developers building production-ready monitoring solutions. Start Learning Our customers Highlight powers forward-thinking companies. More about our customers → Don't take our word. Read our customer review section → Highlight helps us catch bugs that would otherwise go undetected and makes it easy to replicate and debug them. Max Musing , Founder & CEO Highlight weaves together the incredible, varied, and complex interactions of our users into something understandable and actionable. Kai Hess , Founding Product Designer I love Highlight because not only does it help me debug more quickly, but it gives me insight into how customers are actually using our product. Meryl Dakin , Founding Software Engineer Highlight has helped us win over several customers by making it possible for us to provide hands-on support, based on a detailed understanding of what each user was doing. Neil Raina , CTO Highlight helps us catch bugs that would otherwise go undetected and makes it easy to replicate and debug them. Max Musing , Founder & CEO Highlight weaves together the incredible, varied, and complex interactions of our users into something understandable and actionable. Kai Hess , Founding Product Designer I love Highlight because not only does it help me debug more quickly, but it gives me insight into how customers are actually using our product. Meryl Dakin , Founding Software Engineer Highlight has helped us win over several customers by making it possible for us to provide hands-on support, based on a detailed understanding of what each user was doing. Neil Raina , CTO Try Highlight Today Get the visibility you need Get started for free Product Pricing Sign up Features Privacy & Security Customers Session Replay Error Monitoring Logging Competitors LogRocket Hotjar Fullstory Smartlook Inspectlet Datadog Sentry Site24x7 Sprig Mouseflow Pendo Heap LogicMonitor Last9 Axiom Better Stack HyperDX Dash0 Developers Changelog Documentation Ambassadors Frameworks React Next.js Angular Gatsby.js Svelte.js Vue.js Express Golang Next.js Node.js Rails Hono Contact & Legal Terms of Service Privacy Policy Careers sales@highlight.io security@highlight.io [object Object] | 2026-01-13T08:49:39 |
https://dev.to/devteam/congrats-to-the-2025-hacktoberfest-writing-challenge-winners-1hpn | Congrats to the 2025 Hacktoberfest Writing Challenge 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 Nov 20, 2025 Congrats to the 2025 Hacktoberfest Writing Challenge Winners! # devchallenge # hacktoberfest # opensource The wait is over! We are excited to announce the winners of the 2025 Hacktoberfest Writing Challenge . This year's Hacktoberfest Writing Challenge brought us stories of first-time contributors finding their footing, maintainers building communities around their projects, and developers reflecting on what open source means to them. As always, we were inspired by the community's dedication to sharing their knowledge and experiences. Since we received close to three hundred submissions, we have decided to pick five winners per prompt! We hope you enjoyed documenting your Hacktoberfest journey and are proud of what you accomplished, regardless of whether or not you get the crown. Without further ado, our winners. Congratulations To… Contributor Chronicles Winners How Being Part of a Community Took Me from Hesitant to 5 PRs Merged Amelia Dutta ・ Nov 2 #devchallenge #hacktoberfest #opensource 6 Merged PRs, 6 Different Projects, 583 Lines of Code: My Hacktoberfest 2025 Story devkumar2313 ・ Nov 1 #hacktoberfest #opensource #github #devchallenge 🤖 The Super Contributor Ascent: Code, Commitment, and the Chronicle of 13 Days Duc Nguyen Thanh ・ Oct 13 #devchallenge #hacktoberfest #opensource How I Fixed Vanishing Pets in vscode-pets Oleksandra ・ Nov 1 #hacktoberfest #showdev #vscode #opensource Hacktoberfest 2025 — Advancing SQL Tooling in Draw.io lastlink ・ Oct 29 #hacktoberfest2025 #sql #drawio #hacktoberfest Maintainer Spotlight Winners My First Merge Almost Gave Me a Panic Attack: A Hacktoberfest Maintainer's Story Paul Labhani Courage ・ Oct 30 #devchallenge #hacktoberfest #opensource #webdev What Building Open Source Fetch Tools Taught Me - And What They Make Me Wanna Forget Gabor Koos ・ Oct 3 #devchallenge #hacktoberfest #opensource #webdev How My AI Projects Hit the Jackpot in Hacktoberfest - A Maintainer's Tale Shraddha ・ Oct 10 #devchallenge #hacktoberfest #opensource #mcp 🎃 Quote.Vote Hacktoberfest 2025 — Building Civic Tech, One Pull Request at a Time Louis Girifalco ・ Nov 3 #devchallenge #hacktoberfest #opensource #webdev Hacktoberfest 2025: Building Open Source Tools That Matter - A Maintainer's Journey Aditya ・ Oct 28 #opensource #hacktoberfest #devchallenge #ai Open Source Reflections Winners Hacktoberfest 2025 Reflection: Three Years, Three Lessons, One Evolution Lymah ・ Oct 30 #devchallenge #hacktoberfest #opensource 🎉 From Hackathon Idea to Super Contributor — My Hacktoberfest 2025 Journey Sanjay Kumar Sah ・ Oct 14 #devchallenge #hacktoberfest #opensource Beyond Hacktoberfest: Building a True Open Source Journey Ayu Adiati ・ Oct 27 #opensource #hacktoberfest #codenewbie #beginners Hacktoberfest 2025: A Journey Through Multiple Perspectives Matheus Cruvinel ・ Oct 25 #devchallenge #hacktoberfest #opensource My Hacktoberfest Journey: From "Maybe Later" to "Merge Successful!" Sheefa Nigar Syed ・ Oct 30 #devchallenge #hacktoberfest #opensource #supercontributor Our winners will each receive a DEV++ Membership , an exclusive DEV badge. All participants will receive a completion badge for rising to the challenge! What's next? Check out our two challenges happening right now (with many more to come in the next few weeks!): Join the AI Challenge for Cross-Platform Apps: $3,000 in Prizes! Jess Lee for The DEV Team ・ Nov 19 #devchallenge #unoplatformchallenge #dotnet #ai Join the AI Agents Intensive Course Writing Challenge with Google and Kaggle! Jess Lee for The DEV Team ・ Oct 31 #googleaichallenge #kaggle #machinelearning #ai See you next time! Interested in being a volunteer judge for future challenges? Learn more here ! Top comments (14) Subscribe Personal Trusted User Create template Templates let you quickly answer FAQs or store snippets for re-use. Submit Preview Dismiss Collapse Expand Ayu Adiati Ayu Adiati Ayu Adiati Follow 👩💻 Software Engineer | ✍🏼 Tech Blogger | ▶ Open Source Maintainer & Contributor | 👥 Community Management Location The Netherlands Joined Mar 16, 2019 • Nov 21 '25 Dropdown menu Copy link Hide Thank you so much! And congrats to all winners! Like comment: Like comment: 3 likes Like Comment button Reply Collapse Expand Mashraf Aiman Mashraf Aiman Mashraf Aiman Follow AGS of NIRAPAD Alliance, Co-founder & CTO of ENNOVAT and PROTIRODH Code enthusiast | Tech Entrepreneur Work CTO at ENNOVAT and ZUTTLE Joined Oct 11, 2025 • Nov 21 '25 Dropdown menu Copy link Hide MASSIVE congratulations to all the 2025 Hacktoberfest Writing Challenge winners Like comment: Like comment: 2 likes Like Comment button Reply Collapse Expand Cyber Safety Zone Cyber Safety Zone Cyber Safety Zone Follow Cybersecurity & Content WriterBlogger at Cyber Safety Zone Helping freelancers and small businesses stay secure in the digital age. I write about AI risks, cyber threats, and budget-friendly security Email admin@cybersafetyzone.com Location United States,san Francisco Joined Aug 17, 2025 • Nov 20 '25 Dropdown menu Copy link Hide Huge congratulations to all the 2025 Hacktoberfest Writing Challenge winners! 🎉 Your insights into open source and your Hacktoberfest journey are truly inspiring — thank you for sharing. 👏 Like comment: Like comment: 2 likes Like Comment button Reply Collapse Expand SolTap SolTap SolTap Follow Your wallet is hidding $SOL. Joined Nov 16, 2025 • Nov 21 '25 Dropdown menu Copy link Hide Congrats for the winners! Like comment: Like comment: 3 likes Like Comment button Reply Collapse Expand MIB MIB MIB Follow Joined Nov 20, 2025 • Nov 21 '25 Dropdown menu Copy link Hide Congratulations to all the winners Like comment: Like comment: 2 likes Like Comment button Reply Collapse Expand Jess Lee The DEV Team Jess Lee The DEV Team Jess Lee Follow Building DEV and Forem with everyone here. Interested in the future. Email jess@forem.com Location USA / TAIWAN Pronouns she/they Work Co-Founder & COO at Forem Joined Jul 29, 2016 • Nov 20 '25 Dropdown menu Copy link Hide Thanks for your sharing your Hacktoberfest journey on DEV @amelia2802 , @devkumar2313 , @ngtduc693 , @oleksandrakordonets , @lastlink , @paulthedev , @gkoos ! Like comment: Like comment: 7 likes Like Comment button Reply Collapse Expand Amelia Dutta Amelia Dutta Amelia Dutta Follow Summoning pixels and wrangling code, I am a frontend developer with a passion for creating visually stunning websites. Currently on an AWS adventure, exploring the vast universe of cloud technology. Email amelia.dutta.02@gmail.com Location Siliguri Pronouns She/Her Work Frontend Developer Joined Oct 24, 2021 • Nov 21 '25 Dropdown menu Copy link Hide Thanks Jess for organising the competition! 🙌🏻 Like comment: Like comment: 2 likes Like Comment button Reply Collapse Expand Jess Lee The DEV Team Jess Lee The DEV Team Jess Lee Follow Building DEV and Forem with everyone here. Interested in the future. Email jess@forem.com Location USA / TAIWAN Pronouns she/they Work Co-Founder & COO at Forem Joined Jul 29, 2016 • Nov 20 '25 Dropdown menu Copy link Hide Thanks for sharing your Hacktoberfest journey on DEV (TIL we have a 10 @-mention per comment max!): @shraddharao_ , @quotevote , @extinctsion , @lymah , @sanjaysah , @adiatiayu , @mcruvinel , @sheefa_nigarsyed_61642e7 !! Like comment: Like comment: 5 likes Like Comment button Reply Collapse Expand Aditya Aditya Aditya Follow Software Engg | Making things ↔ complicated is my hobby. Location New Delhi, India Pronouns He/Him Work Taazaa Inc. Joined Nov 14, 2021 • Nov 23 '25 Dropdown menu Copy link Hide Thank for the challenge. I enjoyed hacktoberfest this year. While hacktoberfest is getting ready for next year, I want contributors to come see my repos and contribute to them. Wishing you happy coding! Like comment: Like comment: 1 like Like Comment button Reply Collapse Expand Louis Girifalco Louis Girifalco Louis Girifalco Follow https://www.Quote.Vote/ Email louis@quote.vote Location Los Angeles, CA Joined Aug 6, 2025 • Nov 22 '25 • Edited on Nov 22 • Edited Dropdown menu Copy link Hide This was such an honor and made me so proud of what we were able to accomplish. Thank you for the platform and visibility. And thank you to all of the contributors who made our Hacktoberfest participation a success. 🌐💪😆 Like comment: Like comment: 1 like Like Comment button Reply 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 • Nov 20 '25 Dropdown menu Copy link Hide Congrats! Like comment: Like comment: 1 like Like Comment button Reply Collapse Expand Louis Girifalco Louis Girifalco Louis Girifalco Follow https://www.Quote.Vote/ Email louis@quote.vote Location Los Angeles, CA Joined Aug 6, 2025 • Nov 21 '25 • Edited on Nov 21 • Edited Dropdown menu Copy link Hide WOW! We are so grateful for all of the support from the community and couldn't be more ecstatic to have been selected as a winner for the writing challenge. Thank you so much to everyone who contributed along the way, and we can't wait to participate again next year! We are accepting invitation requests from anyone in the DEV.to community. Please message me and request your invite here: Quote.Vote Like comment: Like comment: 1 like Like Comment button Reply Collapse Expand Gilson Oliveira Gilson Oliveira Gilson Oliveira Follow Senior developer with a passion for solving infrastructure headaches. Been there, debugged that. Sharing lessons learned the hard way. Brazil 🇧🇷 | Node | Docker | Kafka | Nest | AWS | Typescript Location Brazil Joined Jul 18, 2024 • Dec 2 '25 Dropdown menu Copy link Hide Great!! finally I got a Hacktoberfest t-shirt :D Like comment: Like comment: 1 like Like Comment button Reply View full discussion (14 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. 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https://parenting.forem.com/junothreadborne/why-the-why-game-is-the-most-valuable-thing-i-do-with-my-kids-22ac | Why the "Why?" Game is the Most Valuable Thing I Do With My Kids - 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. 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 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 Juno Threadborne Posted on Oct 20, 2025 Why the "Why?" Game is the Most Valuable Thing I Do With My Kids # newparents # development # communication # learning We've all played it at some point. Parent: Clean your room. Child: Why? Parent: Because your room needs to be clean. Child: Why? Parent: Because it's important to keep things tidy. Child: Why? ...and so on, into the infinite regress of childlike curiosity that both delights and (if we're honest) sometimes exhausts us. And yet—it's my favorite game in the world. Because "Why?" Is a Gift As far as I'm concerned, fostering curiosity is one of the most valuable things we can do for our children. That instinct to ask why isn't a phase to be outgrown—it's the foundation of intelligence, empathy, and even morality. A child who asks "why" is a child who is trying to understand not just what the world is, but how it works—and more importantly, why it works the way it does . That kind of questioning is where critical thinking begins. It's where science starts. It's the seed of philosophy, problem-solving, and deep understanding. The Game Only Works if You Play Back I think the instinct many of us have—and I include myself here—is to treat "Why?" like a delay tactic. A form of defiance, or at least an inconvenience. But in my experience with my own kids, it's rarely that. More often, it's an invitation. It's a child saying: Let me see inside your brain. Let me learn how to think like you. Show me how to reason. So I try to do that. Sometimes the answers are easy. "Because if you leave food on the floor, ants will come." Sometimes the answers go deeper. "Because learning to take care of your space helps you build discipline, and discipline is how you chase your dreams even when you're tired." And sometimes we reach what feels like a dead end. "I don't know. I think I was told that once and never really questioned it." That's the moment where I used to feel stuck—like I'd failed somehow, or like the conversation had to end because I'd run out of authority. But I've learned that's actually where the real magic becomes possible. That moment when a parent looks their child in the eye and says: "Let's figure it out." Because now, you're not just giving them information. You're modeling curiosity. You're saying, I don't know either, but I want to. You're inviting them to seek with you. And that's when a child learns that "I don't know" isn't the end of the road—it's a launchpad. Curiosity Is a Muscle If you want to raise a thinker, you have to protect their "why." You have to feed it, stretch it, let it be annoying sometimes. The world will try to stamp it out. Institutions, systems, even well-meaning adults will try to replace the question with a rule. But the kids who keep asking? Those are often the ones who end up changing things. I don't always have the energy. I get tired. Sometimes I do give the brush-off answer. And sometimes—especially when safety is involved—the answer really is just "because I need you to trust me on this one right now." That's okay too. This isn't about being perfect or endlessly available. It's about the pattern we create over time. But when I can, I try to say: "That's a good question. What do you think?" Because the moment I stop taking their curiosity seriously is the moment they might stop, too. Final Thought The "Why?" Game isn't just a game. It's rehearsal. For critical thought. For dialogue. For the internal monologue they'll someday have with themselves when they're trying to figure out what kind of person they want to be. For me and my kids, it's been one of the most valuable things we do together. And if I'm lucky, they’ll keep asking “why?” Even when I’m not there to answer. Top comments (2) Subscribe Personal Trusted User Create template Templates let you quickly answer FAQs or store snippets for re-use. Submit Preview Dismiss Collapse Expand Noah Brinker Noah Brinker Noah Brinker Follow Marketing @ DEV Joined Apr 4, 2022 • Oct 22 '25 Dropdown menu Copy link Hide This is great. Before kids I would get frustrated at having to answer so many questions, but trying to understand the world from their perspective has given me way more patience. Like comment: Like comment: 4 likes Like Comment button Reply 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 • Oct 20 '25 Dropdown menu Copy link Hide This is such a great post. I especially resonate with not having the answers and figuring it out together. Like comment: Like comment: 3 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 Juno Threadborne Follow 🧵 Writer. 🧑💻 Coder. ✨ Often found bending reality for sport. https://thrd.me Location Hampton, VA Pronouns he/him Joined Oct 16, 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 | 2026-01-13T08:49:39 |
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https://highlight.io/compare/highlight-vs-hotjar | highlight.io: The open source monitoring platform. Star us on GitHub Star Migrate your Highlight account to LaunchDarkly by February 28, 2026. Learn more on our blog. Product Integrations Pricing Resources Docs Sign in Sign up Explore highlight.io The Open Source Hotjar alternative Pixel-perfect video replay of your frontend web application. Step into the shoes of your users. Get started for free Live demo Highlight.io vs Hotjar A detailed comparison of Hotjar and Highlight.io General Unlimited Team Members Support Ticket Integrations Self-hosted Options Analytics Integrations Self-serve Setup Session Replay Session Commenting Heatmaps Session Sharing Privacy SDKs Embedded, fullstack error monitoring Canvas & WebGL Recording Shadow DOM Recording Error Monitoring Embedded Session Replay Error Sharing Support for Backend SDKs Logging Frontend logging Backend logging Embedded replay and stacktraces What makes us different? Highlight.io is open source and transparent Highlight.io is built with transparency at its core, with a permissive license . Not only do we work in the open, but we also expose what we're working on, on our roadmap . The fact that Highlight.io is open source also makes it easy to integrate and build your own tools on-top of it, an advantage closed-source products like Hotjar can't offer. Highlight.io constantly ships new features At Highlight.io, we ship quickly. We update our changelog with a recap of new features biweekly, and we share when these features are completed in our public roadmap . Plus, our community keeps pushing us to do more, so we're constantly adding new integrations . We work hard to keep Highlight.io ahead of the curve, and we're not afraid to show off our secret sauce. Engineers vs Marketers Highlight and Hotjar have two very different target audiences. While Highlight is a full-stack monitoring solution designed for monitoring web applications, Hotjar is a tool that offers features such as heatmaps and user feedback to help marketers optimize conversion rates for their landing pages. While both tools may offer some overlapping features such as session replay, Highlight is focused on providing monitoring and error-tracking for engineers and product teams, not marketers. We focus on cohesion, not just session replay While Hotjar is mainly focused on session replay, Highlight.io provides a full-stack solution that encompasses session replay, logs, and error monitoring. Along with recording user sessions, Highlight.io also captures logs and errors, providing developers with a comprehensive view of their entire stack. In contrast, Hotjar primarily focuses on heatmaps and conversion optimization, which can be more useful to product and marketing teams. Pricing Hotjar provides a limited free plan that allows you to record up to 35 daily sessions with access to only 20 form analysis views. With Highlight, users can start for free and get their first 500 sessions and 1,000 errors per month for free. The tool also provides unlimited seats for all plans, including the free plan. The choice between Hotjar and Highlight for free trials will depend on the specific usage needs and budget of your project. Master OpenTelemetry with our Free Comprehensive Course From fundamentals to advanced implementations, learn how OpenTelemetry can transform your engineering team's observability practices. Ideal for engineering leaders and developers building production-ready monitoring solutions. Start Learning Our customers Highlight powers forward-thinking companies. More about our customers → Don't take our word. Read our customer review section → Highlight helps us catch bugs that would otherwise go undetected and makes it easy to replicate and debug them. Max Musing , Founder & CEO Highlight weaves together the incredible, varied, and complex interactions of our users into something understandable and actionable. Kai Hess , Founding Product Designer I love Highlight because not only does it help me debug more quickly, but it gives me insight into how customers are actually using our product. Meryl Dakin , Founding Software Engineer Highlight has helped us win over several customers by making it possible for us to provide hands-on support, based on a detailed understanding of what each user was doing. Neil Raina , CTO Highlight helps us catch bugs that would otherwise go undetected and makes it easy to replicate and debug them. Max Musing , Founder & CEO Highlight weaves together the incredible, varied, and complex interactions of our users into something understandable and actionable. Kai Hess , Founding Product Designer I love Highlight because not only does it help me debug more quickly, but it gives me insight into how customers are actually using our product. Meryl Dakin , Founding Software Engineer Highlight has helped us win over several customers by making it possible for us to provide hands-on support, based on a detailed understanding of what each user was doing. Neil Raina , CTO Try Highlight Today Get the visibility you need Get started for free Product Pricing Sign up Features Privacy & Security Customers Session Replay Error Monitoring Logging Competitors LogRocket Hotjar Fullstory Smartlook Inspectlet Datadog Sentry Site24x7 Sprig Mouseflow Pendo Heap LogicMonitor Last9 Axiom Better Stack HyperDX Dash0 Developers Changelog Documentation Ambassadors Frameworks React Next.js Angular Gatsby.js Svelte.js Vue.js Express Golang Next.js Node.js Rails Hono Contact & Legal Terms of Service Privacy Policy Careers sales@highlight.io security@highlight.io [object Object] | 2026-01-13T08:49:39 |
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https://refine.dev/blog/lovable-ai/#:~:text=When%20your%20app%20is%20ready%2C,simple%20as%20clicking%20a%20button | Lovable.dev - AI Web App Builder | Refine Skip to main content Documentation Tutorial Templates Integrations Blog Refine Home Search ⌘K Loading... Explore Refine AI The next-gen approach to build enterprise-ready React-based internal tools with the power of GenAI. Learn more Back to blog Share on: February 12, 2025 14 min read Lovable.dev - AI Web App Builder Update (August 2025): This article has been updated to include information about Lovable.dev v2, including new features, improvements, and enhanced AI capabilities. Introduction Building software has traditionally been a complex and time-consuming process, often requiring teams of developers to carefully craft every line of code. But what if I could drastically simplify this process? Enter Lovable.dev , an AI-powered app builder that’s designed to revolutionize how we approach software development. In this article, I’ll explore what makes Lovable AI code generation a cool tool for developers. We’ll dive into its features, pricing, and real-world use cases, and also discuss where it shines (and where it might fall short). Whether you’re a startup founder, a solo developer, or part of a larger team, this guide will help you understand how it can fit into your development workflow. Steps we will cover: Introduction What is Lovable AI? How to use lovable.dev? 1. Sign Up and Log In 2. Define Your Project 3. Customize the Output 4. Deploy Your App Pricing - How much does it cost? Messaging Limits: How Many Messages Can You Send? Free Plan: What’s Included? Paid Plans: What Are the Options? AI code generation vs traditional development Limitations of AI-Driven Code Generation Lovable v2 When Does Lovable.dev Make Sense? Lovable.dev Alternatives More Refine technical articles on AI-Powered Development Conclusion What is Lovable AI? Let me put it this way, lovable dev is like having a helpful team member for your app development journey. It’s an AI-powered system that promises to remove the pain of app creation by generating the skeleton of your project with some basic instructions. It acts as your AI co-engineer, enabling you to generate fully functional apps simply by describing what you need. From building your app’s foundation to integrating APIs and managing deployment,it handles it all with remarkable efficiency. You instruct it what you wish to build, and it does the heavy lifting of building the groundwork for you. It supports popular frameworks like React and TypeScript and even integrates with tools like Stripe and Supabase. So you can bypass the hours of boilerplate code and jump straight into polishing and adding your own flair. Now, who is this for? If you're: A developer trying to save time at the start of a project, Someone testing an idea and needing a functional prototype quickly, A small group looking for efficient ways of developing apps, or A beginner trying to dip your toes into app development without needing to deal with complex setups, then Lovable might be worth a closer look. It’s all about simplifying the process and letting you focus on the fun (and challenging) parts of development. What tech stacks does Lovable know? Lovable builds front-end using React, Tailwind & Vite, and can connect to OpenAPI backends. Support for data persistence and authentication is in alpha, using Supabase. How to use lovable.dev? Like other AI web app builders, it has integration to Anthropic's Claude, and in practice, it’s not significantly different from using tools like Claude Chat or ChatGPT for generating. 1. Sign Up and Log In Go to Lovable.dev and create an account. You’ll land on a prompt field that reads, “Ask Lovable to create an…”. 2. Define Your Project Start by entering a natural language description of what you want to build. For example: “Build a blog web app with Next.js” Lovable will process your input and generate the foundational code for your project 3. Customize the Output Your app is given a shareable link so that you can see it live in action. After Lovable AI has generated the base of your app, you can personalize it. I normally start by modifying the components—adding or removing features as required. If the user interface doesn't feel just right, I spend some time refining it or altering the logic to suit my exact requirements. Lovable also provides easy editing with basic tools like undo and version history. You can experiment with changes, roll back if needed, and improve your project step by step. And, if you prefer, you can directly edit code changes in GitHub or your favorite IDE, and Lovable will synchronize everything. One thing that I particularly love is the ease with which it lets you link APIs. Simply tell it like, "Set up Stripe for payments" or "Connect this with OpenAI for text generation", and it does the grunt work for you. It is literally like having an extra pair of hands to take care of the tedious work so that I can focus on the fun parts of building. 4. Deploy Your App When your app is ready, deploy it effortlessly. Lovable integrates seamlessly with platforms like Netlify( Congrats on Netlify to support most of AI agent tools💙), making deployment as simple as clicking a button. Your app gets a shareable URL so you can see it live in action. Pricing - How much does it cost? Lovable AI follows a freemium model, meaning you can start for free but might need to upgrade depending on your usage. Lovable uses the same kind of token system as other AI-based tools. Every time you create, edit, or ask for revisions, you use up tokens. The more complex the request, the more tokens are required. Tokens are the AI's fuel. You'll require less if you're just making small changes. You'll require more if you're building an entire app from scratch. Monitoring your tokens closely saves you money while you continue to get the most out of it. Messaging Limits: How Many Messages Can You Send? Lovable.dev has a daily and monthly message limit , mostly because LLMs (Large Language Models) are expensive to run. To keep things running smoothly, Lovable limits how many messages you can send based on your plan. Free Plan: What’s Included? If you're just exploring, the free plan gives you: 5 free messages per day Maximum of 30 messages per month Just keep in mind: Unused messages don’t roll over. If you don’t use your daily quota, it’s gone—no carrying it over to the next day or month. NOTE Sometimes, using more AI tokens to guide the AI properly results in better long-term outcomes. Well-structured guidance leads to higher-quality code and more efficient development. Paid Plans: What Are the Options? If you need more than the free plan offers, Lovable ai offers several paid tiers , each with an increased message allowance. All paid plans include: 5 free daily messages (same as the free plan) Another monthly message quota Here’s a quick breakdown: Plan Daily Messages Monthly Messages Total Messages per Month Starter 5 (up to 150) 100 250 Launch 5 250 400 Scale 1 5 500 650 Scale 2 5 1,000 1,150 Scale 3 5 1,500 1,650 Scale 4 5 2,000 2,150 Scale 5 5 3,000 3,150 Scale 6 5 4,000 4,150 Scale 7 5 5,000 5,150 The higher the plan, the more messages you can send —so if you're planning to use Lovable extensively, you’ll probably need to upgrade. TIP One cool thing: "Ask the AI to fix" messages don’t count toward your usage limit , so you can make adjustments without worrying about burning through your quota. AI code generation vs traditional development Building software once meant doing everything manually—from framework installation to dependency management and handling deployments. It’s a kind of complex process but one that is often traded at the cost of time and complexity. AI-powered tools are changing this by automating the boilerplate tasks so that developers can start implementing meaningful features right away. Project Setup: One of the biggest differences is in project setup. Normally, you would begin by choosing a framework, installing dependencies, and setting up your project before you've even written one feature. AI web app builders let you skip that step—you simply inform it what you need, and it generates a working project configuration in a matter of seconds. Instead of hours of setup, you're immediately in a place to construct. Deployment : Deployment is also a major dividing line between AI-driven and manual development. With a manual process, deploying an app live usually means arranging hosting, setting up CI/CD pipelines, and debugging along the way. AI-powered platforms, nevertheless, attempt to remove these pain points by offering pre-designed deployment options with little effort needed. While not a total replacement for full customization, it definitely makes it easier for most use cases. Lovable v2: What’s New Lovable v2 brings several exciting improvements over the original version. It introduces a more intuitive user interface, faster AI-generated code, and enhanced support for additional frameworks and integrations. Version 2 also improves error handling and debugging suggestions, making it easier to improve and deploy apps quickly. Another notable feature is the expanded API integration options, allowing developers to connect with more third-party services seamlessly. A standout addition in Lovable v2 is multiplayer coding , which allows multiple developers to collaborate on the same codebase in real time. This feature enhances teamwork, reduces merge conflicts, and makes pair programming or group development sessions much more seamless. Overall, Lovable v2 focuses on speed, flexibility, and a smoother development experience. Limitations of AI-Driven Code Generation Let's be realistic—AI in software development is in its early days. AI hype has reached stratospheric levels over the past year, and over the past five months, AI-powered web code generators have started to be used seriously. The weaknesses I will enumerate below hold good today, but that will not necessarily be true tomorrow. Who can tell? Six months from now, these issues could be completely eliminated. When that happens, we will argue again. Code Quality and Optimization : AI-generated code is not optimized. Alright, it gets you up and running quicker, but the output generated can sometimes be bloated, inefficient, or simply not following best practices. A human developer still needs to intervene, review and optimize the generated code to make it maintainable and performant. Limited Customization : They are great at boilerplate generation, but the moment you need anything that falls outside of their standard templates, you can be stuck with rigid frameworks or hand-coding huge chunks of code. AI tools are great at generic applications but fall short when deep customization is required. Debugging Complexity: Debugging AI-generated code is difficult because you did not create it yourself. Debugging errors is similar to trying to understand someone else's thought process—except that "someone" is an AI, making debugging even more complex. Scalability Issues: AI-generated apps can work for small projects, but as complexity grows, it might be challenging to scale and maintain the codebase. If the AI-generated architecture is not scalable, developers can struggle when they attempt to scale apps efficiently. Security Threats: AI models aren't necessarily following best practices around security, and they may generate code with issues that an experienced developer would otherwise pick up. Blind reliance on AI-generated authentication, API integrations, or database configurations can fail if there are not suitable security audits performed. Security vulnerabilities introduced by AI-generated code can be catastrophic. Over-Dependence on AI: AI software is meant to enhance, not replace, software developers. Over-reliance on AI-generated code that is not understood will lead to a knowledge gap, whereby developers will be increasingly dependent on the tool rather than improving their coding skills. This, in the long term, can lead to poorer problem-solving abilities and lack of advanced technical skills. The Requirement for Human Supervision At the end of the day, AI-powered development tools are just that—tools. They can help enhance productivity, remove friction from the start of a project, and even help with brainstorming, but they don't replace veteran developers who possess the capability to optimize, and scale applications correctly. AI can be a great assistant, but human judgment is still necessary. That being said, technology moves fast. Today’s AI code might have all these problems, but six months from now we might be looking at a whole different set of circumstances. At which time, we’ll be having different discussions about the next set of developments. When Does Lovable.dev Make Sense? For developers who need to get up and running quickly, Lovable.dev can be a great choice. It is not intended to replace traditional development but to enable the early stages of a project to be faster and more streamlined. For instance, if you’re constructing a bigger application, AI-generated scaffolding can give you a solid foundation, with you focusing on business logic and customization rather than boilerplate configuration. It’s similar to starting a long journey with a head start—you’re skipping the most tedious part and diving into the real work. It’s also fantastic for rapid prototyping. If you have an idea you want to test, Lovable.dev allows you to have a working prototype up and running in minutes, rather than days. Rather than having to invest time in setting up a project, you can move on to iterating and testing. For business tools or internal projects, where speed matters more than full control, AI-generated code can save time. Instead of coding an inventory manager or dashboard from scratch, you get a working version in seconds and tweak it as needed. And of course, there are personal projects—the ones you keep delaying because setting them up feels like a hassle. AI-generated code isn’t a perfect solution, but it’s a handy tool when you want things to be quick and easy. Whether you’re building a serious app or just testing an idea, skipping the boring setup can make development more enjoyable. Lovable.dev Alternatives If you’re exploring alternatives to Lovable.dev, there are a few other AI-powered app development tools worth considering. Each comes with its own strengths, depending on your needs—whether it’s rapid prototyping, AI-assisted UI generation, or collaborative coding. I’ll cover these in more detail in a separate article, but here’s a quick overview: Replit AI Agent : Replit’s AI-powered coding assistant helps developers generate and refactor code directly in their IDE. It’s particularly useful for collaborative coding and AI-assisted debugging. Vercel V0 : Vercel’s v0 tool focuses on UI generation, converting natural language prompts into Tailwind CSS and React components. It’s best suited for front-end developers looking to streamline their design-to-code workflow. Bolt.new : Similar to Lovable, Bolt.new helps developers generate full-stack app structures using AI, automating much of the boilerplate work. Each of these tools takes a different approach to AI-assisted development, so the best choice depends on your specific workflow—whether you need end-to-end scaffolding, UI generation, or AI-powered code assistance. More Refine technical articles on AI-Powered Development Vercel v0 Replit AI Code Editor Bolt AI App Builder Conclusion Lovable.dev is not just another AI tool, but a new way of developing web applications. By handling the setup and boilerplate in advance, you get to cut straight to the fun: building and iterating on your app. Whether you're prototyping a new idea, creating an internal business application, or finally working on that personal project you've been delaying, Lovable.dev streamlines the process so you can get started faster. Related Articles What is "Vibe Coding" Ever had a half-formed idea that you just wanted to see in motion, without the usual development overhead? June 24, 2025 Replit AI Agent - AI Web App Builder We'll explore how Replit helps streamline the development process from generating project scaffolding to deploying applications. February 17, 2025 Purpose-Built AI Agents - The Future of Internal Enterprise Apps How AI shapes the internal enterprise software development with purpose-built agents. June 2, 2025 ai Introduction What is Lovable AI? How to use lovable.dev? 1. Sign Up and Log In 2. Define Your Project 3. Customize the Output 4. Deploy Your App Pricing - How much does it cost? Messaging Limits: How Many Messages Can You Send? Free Plan: What’s Included? Paid Plans: What Are the Options? AI code generation vs traditional development Lovable v2: What’s New Limitations of AI-Driven Code Generation When Does Lovable.dev Make Sense? 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https://parenting.forem.com/communitylivingan/creating-a-safe-supportive-home-environment-for-individuals-with-idd-3j6n#comments | Creating a Safe, Supportive Home Environment for Individuals with IDD - 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 Community Living & Care Insights Posted on Dec 30, 2025 Creating a Safe, Supportive Home Environment for Individuals with IDD # development # familylife # mentalhealth Creating a safe and supportive home environment is one of the most important factors in helping individuals with Intellectual and Developmental Disabilities (IDD) live healthy, meaningful, and fulfilling lives. For individuals with IDD, the home is more than just a place to live—it is where independence is nurtured, emotional security is strengthened, and personal growth is supported. Healthcare solutions agencies that provide HCS (Home and Community-Based Services) and Community First Choice (CFC) services recognize the transformative impact a well-designed home environment can have on long-term outcomes. Through intentional planning, person-centered support, and community-based services, individuals with IDD are able to thrive in settings that prioritize safety, dignity, choice, and overall quality of life. What Is Intellectual and Developmental Disability (IDD)? Intellectual and Developmental Disabilities are conditions that typically appear before age 18 and affect intellectual functioning, adaptive behavior, and daily life skills. These conditions may include Autism Spectrum Disorder, Down syndrome , cerebral palsy, and intellectual disability, among others. Each individual’s abilities, challenges, and support needs are unique. Because IDD impacts communication, learning, self-care, and decision-making to varying degrees, a “one-size-fits-all” approach to care is ineffective. Instead, creating a safe and supportive home begins with understanding the person—not just the diagnosis. Individualized Needs Across the Lifespan The needs of individuals with IDD evolve throughout their lives. Children may require structured routines and behavioral supports, while adults often focus on independent living skills, employment readiness, and community integration. Aging individuals with IDD may experience additional health or mobility challenges that require increased assistance. HCS and CFC services are designed to adapt across the lifespan, ensuring individuals receive the right level of support at every stage of life. The Importance of Person-Centered Planning At the heart of a supportive home environment is person-centered planning. This approach prioritizes the individual’s preferences, goals, cultural background, and strengths. Rather than focusing on limitations, person-centered care emphasizes empowerment and choice. When services are aligned with what matters most to the individual, the home becomes a place of respect, autonomy, and belonging. Creating a Physically Safe Home Environment Home Safety Modifications Physical safety is a foundational element of supportive living. Many individuals with IDD face mobility challenges, sensory sensitivities, or difficulties with balance and coordination. Simple home modifications can significantly reduce the risk of injury and increase independence. Common safety adaptations include: Installing handrails and grab bars Improving lighting and visibility Using non-slip flooring Securing cabinets and appliances Ensuring wheelchair accessibility where needed These modifications allow individuals to move confidently within their homes while maintaining comfort and dignity. Assistive Technology and Adaptive Equipment Technology plays a growing role in creating safer home environments for individuals with IDD. Assistive tools such as communication devices, medication reminders, emergency alert systems, and smart home features enhance safety while promoting independence. When thoughtfully integrated, technology supports autonomy rather than replacing human connection. The Role of HCS and CFC in Home Safety HCS and Community First Choice services provide hands-on assistance that complements physical safety measures. Support staff assist with daily activities such as bathing, meal preparation, and mobility while monitoring for potential risks. This layered approach—environmental safety combined with trained support—creates a secure foundation for daily living. Emotional and Psychological Safety in the Home Establishing Predictability and Routine For many individuals with IDD, consistency and structure are essential for emotional well-being. Predictable routines reduce anxiety, improve emotional regulation, and foster a sense of control. A supportive home environment includes clear expectations, familiar schedules, and consistent caregiving—elements that help individuals feel safe and understood. Trauma-Informed and Compassionate Care Some individuals with IDD have experienced trauma, neglect, or repeated disruptions in care. Trauma-informed support recognizes these experiences and prioritizes emotional safety, trust, and choice. Caregivers trained in trauma-informed approaches understand how to respond calmly, avoid re-traumatization, and support emotional healing within the home. Building Trust Through Consistent Support Staff Consistency in caregiving is critical. Frequent changes in staff can disrupt routines and create emotional distress. HCS and CFC programs emphasize stable, well-trained support staff who build meaningful relationships with individuals and families. Trust develops over time—and trust is the foundation of emotional safety. Promoting Independence While Ensuring Support Balancing Safety and Autonomy True support does not mean doing everything for someone—it means providing the right level of assistance while encouraging independence. A safe home environment empowers individuals with IDD to make choices, take risks appropriate to their abilities, and learn from experience. Balancing safety and autonomy requires thoughtful planning and ongoing communication among individuals, families, and care teams. Skill-Building in the Home The home is an ideal setting for learning and practicing life skills. Through Community First Choice services, individuals receive support with: Personal hygiene and self-care Meal planning and cooking Household tasks Money management Time management and organization Skill-building is most effective when it occurs in real-life settings and aligns with the individual’s goals. Transitioning Toward Greater Independence Independence is not a destination—it is a journey. Progress may be gradual and non-linear, but each step matters. HCS services support individuals as they move toward greater independence, whether that means living more independently, reducing supervision, or increasing community engagement. Social Connection and Community Integration Preventing Isolation Social isolation is a significant risk for individuals with IDD, particularly those receiving in-home support. A truly supportive home environment extends beyond the walls of the residence and encourages meaningful connections. Community Engagement Through CFC Services Community First Choice services emphasize community participation as a core component of quality of life. Support may include transportation, accompaniment, and skill-building to help individuals engage in: Social and recreational activities Faith-based or cultural events Volunteering Community classes and programs These experiences foster belonging, confidence, and emotional well-being. Strengthening Family and Natural Supports Family members, friends, and trusted individuals play a vital role in creating a supportive environment. HCS and CFC services are most effective when they complement—not replace—natural support systems. The Role of Caregivers and Support Staff Training and Competency Standards A safe home environment depends on skilled, compassionate caregivers. Support staff must be trained in: IDD-specific care Safety and emergency procedures Communication strategies Behavior support techniques Person-centered practices Ongoing training ensures high-quality, responsive care. Caregiver Well-Being and Burnout Prevention Caregiver burnout can compromise safety and quality of care. HCS services often include respite care, allowing family caregivers time to rest and recharge. Supporting caregivers ultimately supports the individual receiving care. Agency Oversight and Quality Assurance Healthcare solutions agencies play a critical role in monitoring service quality, ensuring compliance, and continuously improving care. Strong oversight protects individuals and promotes consistent, reliable support. How HCS and Community First Choice Services Support Safe Living Overview of HCS Services HCS services provide comprehensive supports that may include residential assistance, personal care, supervision, and individualized service planning. These services help individuals with IDD live safely in home and community settings rather than institutional environments. Overview of Community First Choice (CFC) Community First Choice focuses on in-home and community-based supports that promote independence, choice, and self-direction. CFC services empower individuals to remain in their homes while actively participating in their communities. Why Integrated Services Matter When HCS and CFC services work together, individuals benefit from coordinated, holistic care that addresses physical safety, emotional well-being, and personal growth. Choosing the Right Healthcare Solutions Agency Families and case managers should look for agencies that demonstrate: A strong person-centered philosophy Experience serving individuals with IDD Transparent communication Qualified, compassionate staff A commitment to community inclusion Our agency is dedicated to creating safe, supportive home environments where individuals with IDD are respected, empowered, and encouraged to live full, meaningful lives. Conclusion: Building Homes Where Individuals with IDD Can Thrive A safe and supportive home environment is the cornerstone of quality care for individuals with IDD. It encompasses physical safety, emotional security, independence, and community connection. With the support of HCS and Community First Choice services, individuals with IDD can live with dignity, choice, and purpose. When families partner with a trusted healthcare solutions agency, the home becomes more than a place to live—it becomes a foundation for growth, belonging, and lifelong well-being. 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 Community Living & Care Insights Follow This page explores person-centered HCS services, independent living, and compassionate supports empowering individuals with IDD to thrive in their communities. Joined Dec 30, 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. 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https://highlight.io/compare/highlight-vs-logrocket | highlight.io: The open source monitoring platform. Star us on GitHub Star Migrate your Highlight account to LaunchDarkly by February 28, 2026. Learn more on our blog. Product Integrations Pricing Resources Docs Sign in Sign up Explore highlight.io The Open Source LogRocket alternative Pixel-perfect video replay of your frontend web application. Step into the shoes of your users. Get started for free Live demo Highlight.io vs LogRocket A detailed comparison of LogRocket and Highlight.io General Unlimited Team Members Support Ticket Integrations Self-hosted Options Analytics Integrations Self-serve Setup Session Replay Session Commenting Heatmaps Session Sharing Privacy SDKs Embedded, fullstack error monitoring Canvas & WebGL Recording Shadow DOM Recording Error Monitoring Embedded Session Replay Error Sharing Support for Backend SDKs Logging Frontend logging Backend logging Embedded replay and stacktraces What makes us different? Highlight.io is open source and transparent Highlight.io is built with transparency at its core, with a permissive license . Not only do we work in the open, but we also expose what we're working on, on our roadmap . The fact that Highlight.io is open source also makes it easy to integrate and build your own tools on-top of it, an advantage closed-source products like LogRocket can't offer. Highlight.io constantly ships new features At Highlight.io, we ship quickly. We update our changelog with a recap of new features biweekly, and we share when these features are completed in our public roadmap . Plus, our community keeps pushing us to do more, so we're constantly adding new integrations . We work hard to keep Highlight.io ahead of the curve, and we're not afraid to show off our secret sauce. We focus on cohesion, not just session replay While LogRocket is mainly focused on session replay, Highlight.io provides a full-stack solution that encompasses session replay, logs, and error monitoring. Along with recording user sessions, Highlight.io also captures logs and errors, providing developers with a comprehensive view of their entire stack. In contrast, LogRocket primarily focuses on session replay and product analytics, which can be more useful to product and marketing teams. Master OpenTelemetry with our Free Comprehensive Course From fundamentals to advanced implementations, learn how OpenTelemetry can transform your engineering team's observability practices. Ideal for engineering leaders and developers building production-ready monitoring solutions. Start Learning Our customers Highlight powers forward-thinking companies. More about our customers → Don't take our word. Read our customer review section → Highlight helps us catch bugs that would otherwise go undetected and makes it easy to replicate and debug them. Max Musing , Founder & CEO Highlight weaves together the incredible, varied, and complex interactions of our users into something understandable and actionable. Kai Hess , Founding Product Designer I love Highlight because not only does it help me debug more quickly, but it gives me insight into how customers are actually using our product. Meryl Dakin , Founding Software Engineer Highlight has helped us win over several customers by making it possible for us to provide hands-on support, based on a detailed understanding of what each user was doing. Neil Raina , CTO Highlight helps us catch bugs that would otherwise go undetected and makes it easy to replicate and debug them. Max Musing , Founder & CEO Highlight weaves together the incredible, varied, and complex interactions of our users into something understandable and actionable. Kai Hess , Founding Product Designer I love Highlight because not only does it help me debug more quickly, but it gives me insight into how customers are actually using our product. Meryl Dakin , Founding Software Engineer Highlight has helped us win over several customers by making it possible for us to provide hands-on support, based on a detailed understanding of what each user was doing. Neil Raina , CTO Try Highlight Today Get the visibility you need Get started for free Product Pricing Sign up Features Privacy & Security Customers Session Replay Error Monitoring Logging Competitors LogRocket Hotjar Fullstory Smartlook Inspectlet Datadog Sentry Site24x7 Sprig Mouseflow Pendo Heap LogicMonitor Last9 Axiom Better Stack HyperDX Dash0 Developers Changelog Documentation Ambassadors Frameworks React Next.js Angular Gatsby.js Svelte.js Vue.js Express Golang Next.js Node.js Rails Hono Contact & Legal Terms of Service Privacy Policy Careers sales@highlight.io security@highlight.io [object Object] | 2026-01-13T08:49:39 |
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Chris Hutchison Director, Enterprise Toolchain By integrating AI into the developer workflow, our teams are writing better code, faster. Our developers are experiencing meaningful productivity gains - freeing them up to focus on higher-value problem solving. Alan Hohn Director, Software Strategy We were able to quadruple the number of builds per night, ultimately improving build success from 60% to 90%. As a result, the customer is receiving new capabilities sooner and with better quality. Stephen Cooper Sr Director of Software Engineering GitLab is helping Nasdaq achieve its vision of becoming 100% cloud by operating at DevOps speed and getting projects out to the cloud quickly, reliably, and with quality. Fabio Huser Software Architect With GitLab CI/CD, we are able to complete 1.5 million builds every month. Using GitLab, our teams can work on the same project and share code within minutes. Chris Hutchison Director, Enterprise Toolchain By integrating AI into the developer workflow, our teams are writing better code, faster. Our developers are experiencing meaningful productivity gains - freeing them up to focus on higher-value problem solving. Alan Hohn Director, Software Strategy We were able to quadruple the number of builds per night, ultimately improving build success from 60% to 90%. As a result, the customer is receiving new capabilities sooner and with better quality. Stephen Cooper Sr Director of Software Engineering GitLab is helping Nasdaq achieve its vision of becoming 100% cloud by operating at DevOps speed and getting projects out to the cloud quickly, reliably, and with quality. Fabio Huser Software Architect With GitLab CI/CD, we are able to complete 1.5 million builds every month. Using GitLab, our teams can work on the same project and share code within minutes. 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Contact Us Contact sales Support portal Customer portal Status Terms of use Privacy statement Product DevSecOps platform AI-Assisted Development Topics CICD GitOps DevOps Version Control DevSecOps Cloud Native AI for Coding Agentic AI Solutions Application Security Testing Automated software delivery Agile development SCM CICD Value stream management GitOps Enterprise Small business Public sector Education Financial services Resources Install Quick start guides Learn Product documentation Blog Customer success stories Remote GitLab Services Community Forum Events Partners Company About Jobs Leadership Team Handbook Investor relations Sustainability Diversity, inclusion and belonging (DIB) Trust Center Newsletter Press Modern Slavery Transparency Statement Language: English English Deutsch Español Français Italiano 日本語 Português Git is a trademark of Software Freedom Conservancy and our use of 'GitLab' is under license View page source Edit this page Please contribute © 2026 GitLab Inc. | 2026-01-13T08:49:39 |
https://www.jamsadr.com/file-an-eu-us-privacy-shield-or-safe-harbor-claim | Data Privacy Framework Resolution | JAMS Mediation, Arbitration, ADR Services Skip to main content Skip to main content Submit a Case JAMS Access Login JAMS Pathways MENU Neutrals Rules & Clauses Arbitration Rules & Procedures Comprehensive Rules Streamlined Rules Discovery Protocols Appeal Procedures Class Action Procedures Consumer Minimum Standards Mass Arbitration Procedures Artificial Intelligence AI Disputes Clause and Rules AI Disputes Protective Order Smart Contracts Smart Contract Clause & Rules International Rules International Mediation Rules International Arbitration Rules International Arbitration Guidelines Construction Arbitration Construction Arbitration Rules Expedited Construction Arbitration Rules Surety Adjudication Rules Labor and Employment Arbitration Rules Employment Arbitration Rules Labor Arbitration Rules Employment Minimum Standards Download Rules / Forms Download Rules / Forms Rules Archive ADR Sample Clauses Clause Workbook (U.S. Domestic) Clause Workbook (International) Artificial Intelligence Disputes Clause Construction Clauses Employment Clauses Locations ADR Services Alternative Dispute Resolution What do we do? 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Mediators Ethics Guidelines Arbitration Arbitration (North America) Arbitration (International) Labor Arbitration Additional Services Appellate Services California Court Reference Services Class Action & Mass Tort Neutral Analysis JAMS Endispute JAMS Pathways JAMS Next Practice Areas & Industries All Practice Areas & Industries Appellate Bankruptcy Class Action & Mass Tort Construction Cybersecurity & Privacy Disaster Relief Employment Energy Engineering & Construction Entertainment & Sports Estate/Probate/Trust Family Law Federal Financial Markets Health Care Higher Education & Title IX Insurance Intellectual Property International & Cross-Border Labor Life Sciences Personal Injury & Tort Real Estate & Real Property Smart Contracts & Blockchain News & Insights Articles & Insights JAMS ADR Insights JAMS International Insights Podcasts News & Press Releases JAMS News & Press Releases Events & Webinars JAMS Events & Webinars About Who we are Our Values Senior Management Impact JAMS Foundation Social Responsibility Life at JAMS Employee Benefits Apply Online JAMS Data Privacy Framework (DPF) Dispute Resolution Print Page Download page as PDF Data Privacy Framework (DPF) Dispute Resolution EU-U.S. DPF • UK Extension to the EU-U.S. DPF • Swiss-U.S. DPF JAMS Data Privacy Framework (DPF) Dispute Resolution The EU-U.S. Data Privacy Framework (EU-U.S. DPF), the UK Extension to the EU-U.S. Data Privacy Framework (UK Extension to the EU-U.S. DPF), and the Swiss-U.S. Data Privacy Framework (Swiss-U.S. DPF) were respectively developed in furtherance of transatlantic commerce by the U.S. Department of Commerce and the European Commission, the UK Government, and the Swiss Federal Administration to provide U.S. organizations with reliable mechanisms for personal data transfers to the United States from the European Union / European Economic Area, the United Kingdom (and Gibraltar), and Switzerland while ensuring data protection that is consistent with EU, UK, and Swiss law. The effective date of the EU-U.S. DPF Principles, including the Supplemental Principles and Annex I of the Principles is July 10, 2023, which is the date of entry into force of the European Commission’s adequacy decision for the EU-U.S. DPF. The adequacy decision enables the transfer of EU personal data to participating organizations consistent with EU law. Effective as of July 17, 2023, eligible organizations in the United States that wish to self-certify their compliance pursuant to the UK Extension to the EU-U.S. DPF may do so; however, personal data cannot be received from the United Kingdom and Gibraltar in reliance on the UK Extension to the EU-U.S. DPF before the date that the adequacy regulations implementing the data bridge for the UK Extension to the EU-U.S. DPF enter into force. The data bridge will enable the transfer of UK and Gibraltar personal data to participating organizations consistent with UK law. The effective date of the Swiss-U.S. DPF Principles, including the Supplemental Principles and Annex I of the Principles is July 17, 2023; however, personal data cannot be received from Switzerland in reliance on the Swiss-U.S. DPF until the date of entry into force of Switzerland’s recognition of adequacy for the Swiss-U.S. DPF. The recognition of adequacy will enable the transfer of Swiss personal data to participating organizations consistent with Swiss law. The Data Privacy Framework (DPF) Program, which is administered by the International Trade Administration (ITA) within the U.S. Department of Commerce, enables eligible U.S.-based organizations to self-certify their compliance pursuant to the EU-U.S. DPF and, as applicable, the UK Extension to the EU-U.S. DPF, and/or the Swiss-U.S. DPF. To participate in the DPF Program, a U.S.-based organization is required to self-certify to the ITA via the Department's DPF Program website (www.dataprivacyframework.gov) and publicly commit to comply with the DPF Principles. While the decision by an eligible U.S.-based organization to self-certify its compliance pursuant to and participate in the relevant part(s) of the DPF Program is voluntary, effective compliance upon self-certification is compulsory. Once such an organization self-certifies to the ITA and publicly declares its commitment to adhere to the DPF Principles that commitment is enforceable under U.S. law. All organizations interested in self-certifying their compliance pursuant to the EU-U.S. DPF and, as applicable, the UK Extension to the EU-U.S. DPF, and/or the Swiss-U.S. DPF should review the requirements in their entirety. The Department’s DPF Program website provides useful information regarding the benefits and requirements of participation in the relevant parts of that program. U.S.-based organizations that self-certify their compliance pursuant to the relevant part(s) of the DPF Program must, amongst other things, provide readily available recourse mechanisms available to investigate unresolved complaints, including a system of alternative dispute resolution (ADR) by an independent third party. The independent recourse mechanisms must be in place prior to self-certification, and must be available at no cost to the individual. Although organizations self-certifying their compliance pursuant to the relevant part(s) of the DPF Program may utilize private sector developed dispute resolution programs for most categories of personal data covered under their self-certifications, those organizations covering human resources data (i.e., personal information about employees, past or present, collected in the context of the employment relationship) transferred from the European Union, the United Kingdom, or Switzerland must agree to cooperate and comply with the EU data protection authorities (DPAs), the UK Information Commissioner’s Office (ICO), and the Swiss Federal Data Protection and Information Commissioner (FDPIC) respectively with regard to such data. JAMS is available to serve as your organization’s designated ADR provider and to assist in resolving disputes brought under the DPF Principles, up to the point of any final arbitration invoked in accordance with the procedures and conditions set forth in the EU-U.S. DPF Principles and/or the Swiss-U.S. DPF Principles. With a panel of over 400 neutrals around the world, JAMS specializes in resolving disputes of all sizes and levels of complexity and our neutrals have significant experience resolving issues involving privacy. Mediation Rules Mediations will be conducted pursuant to JAMS International Mediation Rules unless the parties have specified a different set of Rules or Procedures. Download the JAMS International Mediation Rules Fees JAMS DOES NOT charge any fees for an organization to name it as an ADR provider. If an organization names JAMS as its ADR provider under the EU-U.S. DPF and, as applicable, the UK Extension to the EU-U.S. DPF, and/or the Swiss-U.S. DPF, we request that you notify JAMS by registering here . When a consumer initiates a mediation or an arbitration against an organization (whether under JAMS Rules or another set of rules) all fees for the mediation, including the JAMS Case Management Fee, must be borne by the Organization. The fee arrangement is common to all DPF Dispute Resolution cases for the European Union / European Economic Area, the United Kingdom (and Gibralter), and Switzerland. For any other matters, standard JAMS policies apply. Name JAMS as Your Dispute Resolution Provider If you wish to name JAMS as your Dispute Resolution provider under the EU-U.S. DPF and, as applicable, the UK Extension to the EU-U.S. DPF, and/or the Swiss-U.S. DPF, please register using the link below: JAMS Data Privacy Framework (DPF) Dispute Resolution Registration Customer URL If you do name JAMS as your Dispute Resolution provider under the EU-U.S. DPF and, as applicable, the UK Extension to the EU-U.S. DPF, and/or the Swiss-U.S. DPF, the URL that you will need to provide in your customer-facing privacy policy/ies through which your customers could find information on how to open an EU-U.S. DPF and, as applicable, UK Extension to the EU-U.S. DPF, and/or Swiss-U.S. DPF Dispute Resolution case is: https://www.jamsadr.com/DPF-Dispute-Resolution File a DPF Dispute Resolution Claim If you are a consumer and wish to open an EU-U.S. DPF and, as applicable, UK Extension to the EU-U.S. DPF, and/or a Swiss-U.S. DPF Dispute Resolution case, please file a claim using the link below: File a Data Privacy Framework (DPF) Claim Additional Resources Questions/Contact If you have any additional questions you may contact our DPF coordinator via email . Mara Satterthwaite, msatterthwaite@jamsadr.com JAMS DPF Dispute Resolution Fee Schedule PROFESSIONAL FEES There is no fee associated with listing JAMS as the ADR provider in a self-certification submission under the DPF Program. Fees apply only if a DPF matter is brought to JAMS. Hourly and daily rates vary depending on neutral. Neutrals are independent contractors and set their own Professional Fees. In compliance with the EU, UK, and Swiss data protection initiatives, 100% of ADR fees associated with a DPF matter brought by a consumer will be the responsibility of the respondent company; consumers will not be responsible for any portion of these fees. For non-consumer matters, hearing fees are divided equally among all parties. Professional Fees include time spent for hearings, pre- and post-hearing reading and research, and award preparation. 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https://opensource.org/ai/faq#what-is-an-ai-system | OSAID FAQs – Open Source Initiative Skip to content Get involved About Licenses Open Source Definition Open Source AI Programs Blog Get involved About Licenses Open Source Definition Open Source AI Programs Blog Open Source AI Open Source AI OSAID 1.0 Process Timeline Open Weights FAQ Endorsements Open Main Menu THE open source ai definition 1.0 We have released the first stable version of the Definition. Read version 1.0 Answers to Frequently Asked Questions The Open Source AI Definition (OSAID) represents an important first step in defining Open Source in an AI context. Because AI systems differ fundamentally from traditional software, the OSAID seeks to establish the first set of clear, practical guidelines for development, use and modification of AI systems in keeping with the Open Source ethos. Unfortunately, misconceptions about the definition persist, often stemming from a lack of understanding of the nature of AI. This post aims to clarify key points and provide a forward-looking perspective on the importance of the OSAID. THE open source ai definition 1.0 FAQs What Is an AI System? What is an Open Source AI? Why did you write the Open Source AI Definition? What’s the difference between the Open Source Definition and the Open Source AI Definition? Isn’t training data required to program the AI system? What is the role of training data in the Open Source AI Definition? Why do you allow the exclusion of some training data? How did you arrive at this conclusion? Is it compromising Open Source ideals? What kind of data should be required in the Open Source AI Definition? How do you fix a buggy AI system? What is a skilled person? Is the Open Source AI Definition covering models and weights and parameters? Why do you require training code while OSD #2 doesn’t require compilers? Why is there no mention of safety and risk limitations in the Open Source AI Definition? Are model parameters copyrightable? Why will parameters be available under “OSI-approved terms” but the code will be under “OSI-approved licenses”? Are you going to allow restrictions on the terms for models? Why is the “Preferred form to make modifications” limited to machine learning? Which AI systems comply with the Open Source AI Definition? What’s the next step? FAQs What Is an AI System? According to the OSAID, an AI system aligns with the definition provided by the Organisation for Economic Co-operation and Development (OECD): An AI system is a machine-based system that, for explicit or implicit objectives, infers, from the input it receives, how to generate outputs such as predictions, content, recommendations, or decisions that can influence physical or virtual environments. Different AI systems vary in their levels of autonomy and adaptiveness after deployment. In simple terms, an AI system is “the thing” that processes input to produce output, whether that’s a prediction, recommendation, or another result. Anchoring discussions in such common definitions is essential because AI systems differ radically from traditional software. What is an Open Source AI? An Open Source AI is an AI system made freely available with all necessary code, data and parameters under legal terms approved by the Open Source Initiative. For more details, read below. Why did you write the Open Source AI Definition? Point #2 of the Open Source Definition (OSD) says “The program must include source code […] The source code must be the preferred form in which a programmer would modify the program […]” . When we embarked on this initiative, nobody had a clear answer to the question, “What is the preferred form to modify an AI system?” So OSI offered to find the answer along with the broader community by engaging in a co-design process . What’s the difference between the Open Source Definition and the Open Source AI Definition? The Open Source Definition (OSD) refers to software programs. AI and specifically machine learning systems are not simply software programs; they blend boundaries with data, configuration options, documentation and new artifacts, like weights and biases. The Open Source AI Definition describes the preferred form to modify an AI system, providing clarity on interpreting the principles of the OSD in the domain of AI. Isn’t training data required to program the AI system? A frequent misunderstanding about AI systems is equating training data with source code, suggesting that “training data is how the model gets programmed.” Unlike traditional software, AI systems are not programmed in the conventional sense. Instead, they acquire capabilities autonomously during the training process — a phenomenon distinguishing them from software like the Linux kernel. For example, the Linux kernel is: Programmed by humans. Composed of source code that developers can read, study, and modify. Reproducible, meaning its binary form can be reliably rebuilt from its source code. In contrast, modern AI systems such as large language models develop their behavior in ways that are often unpredictable and inexplicable. Training processes are challenging to replicate reliably, even by the system’s creators. These differences necessitated the establishment of a unique definition beyond the Open Source Definition for software. What is the role of training data in the Open Source AI Definition? Open Source means giving anyone the ability to meaningfully fork (study and modify) your system without requiring additional permissions to make it more useful for themselves and everyone else. This is why point #2 of the OSD requires that the source code be provided in the preferred form for making modifications. This way, everyone has the same rights and ability to fork as the original developers, starting a virtuous innovation cycle. However, training data does not equate to a software source code. Training data is important for studying modern machine learning systems. However, it is not what AI researchers and practitioners necessarily use as part of the preferred form for modifying a trained model. The Data Information and Code requirements of the OSAID allow Open Source AI systems to be forked by third-party AI builders downstream using the same information as the original developers. These forks could include removing nonpublic or non-open data from the training dataset in order to train a new Open Source AI system on fully public or open data. Why do you allow the exclusion of some training data? We want Open Source AI to exist in fields where data cannot be legally shared, such as medical AI. Laws that permit training on data often limit the resharing of that same data to protect copyright or other interests. Privacy rules also give people the right to control their most sensitive information, like decisions about their health. Similarly, much of the world’s Indigenous knowledge is protected through mechanisms that are not compatible with later-developed frameworks for rights exclusivity and sharing. There are also many cases where terms of use of publicly available data may give entity A the confidence that they may use it freely and call it “open data,” but not give entity A the confidence they can, in turn, give entity B the same guarantees for use in a different jurisdiction. Meanwhile, entity B may not feel confident using that data in their own jurisdiction. An example is so-called public domain data, where the definition of public domain varies from country to country. Another example is fair-use or private data, where the finding of fair use or privacy laws may require a good knowledge of the law of a given jurisdiction. This resharing is not so much limited as lacking legal certainty . How did you arrive at this conclusion? Is it compromising Open Source ideals? During our co-design process, relationships between the weights and the data drove the highest community engagement. In the “System analysis” phase , the volunteer groups suggested that training and data processing codes were more important for modifying the AI system than accessing the training and testing data. That result was validated in the “Validation phase” and suggested a path that allows Open Source AI to exist on equal grounds with proprietary systems: both can train on the same kind of data. Some people believe that full, unfettered access to all training data (with no distinction of its kind) is paramount, arguing that anything less would compromise the full reproducibility of AI systems, transparency and security. This approach would relegate Open Source AI to a niche of AI trainable only on open data. That niche would be tiny, even relative to the niche occupied by Open Source in the traditional software ecosystem. The requirements of Data Information keep the same approach present in the Open Source Definition; it doesn’t mandate full reproducibility and transparency but enables them (i.e., reproducible builds ). At the same time, setting a baseline requiring Data Information doesn’t preclude others from formulating and demanding more requirements, like the Digital Public Goods Standard or the Free Systems Distribution Guidelines , which add requirements to the Open Source Definition. One of the key aspects of OSI’s mission is to drive and promote Open Source innovation. The approach OSI takes here enables complete user choice with Open Source AI. Users can keep the insights derived from training+data preprocessing code and a description of unshareable training data and build upon those with their own unshareable data and give the insights derived from further training to everyone, allowing for Open Source AI in areas like health care. Alternatively, users can obtain the available and public data from the Data Information and retrain their model without any unshareable data, resulting in more data transparency in the AI system. Like copyleft and permissive licensing, this approach leaves the choice with the user. What kind of data should be required in the Open Source AI Definition? A significant challenge in AI is the role of data. Unlike traditional software, where source code is the primary artifact, AI systems depend heavily on data — not just any data, but data processed and curated into training datasets. The OSAID recognizes the legal and ethical complexities of data sharing and uses precise legal terms to outline expectations. While not all raw data can be freely distributed, the Definition ensures that the essential elements for modifying an AI system are accessible. There are four classes of data, based on their legal constraints, all of which can be used to train Open Source AI systems: Open training data: data that can be copied, preserved, modified and reshared. It provides the best way to enable users to study the system. This must be shared. Public training data: data that others can inspect as long as it remains available. This also enables users to study the work. However, this data can degrade as links or references are lost or removed from network availability. To obviate this, different communities will have to work together to define standards, procedures, tools and governance models to overcome this risk, and Data Information is required in case the data becomes later unavailable. This must be disclosed with full details on where to obtain it. Obtainable training data is data that can be obtained, including for a fee. This information provides transparency and is similar to a purchasable component in an open hardware system. The Data Information provides a means of understanding this data other than obtaining or purchasing it. This area is likely to change rapidly and will need careful monitoring to protect Open Source AI developers. It must be disclosed with full details on where to obtain it. Unshareable nonpublic training data: data that cannot be shared for explainable reasons, like Personally Identifiable Information (PII). For this class of data, the ability to study some of the system’s biases demands a detailed description of the data – what it is, how it was collected, its characteristics, and so on – so that users can understand the biases and categorization underlying the system. This must be revealed in detail so that, for example, a hospital can create a dataset with identical structure using its own patient data. OSI believes that all these classes of data can be part of the preferred form of making modifications to the AI system. This approach both advances openness in all the components of the AI system and drives more Open Source AI, including private-first areas such as health care. How do you fix a buggy AI system? A core question the OSAID addresses is: How do you fix a buggy AI system? For traditional software, the Open Source Definition provides a clear answer: The program must include source code, and must allow distribution in source code as well as compiled form. The source code must be the preferred form in which a programmer would modify the program. However, modifying an AI system requires more than just source code. After extensive consultation with AI developers, researchers and practitioners, the community, through the OSAID co-design process, concluded that the preferred form for modifying an AI system includes: The software used to create the dataset (i.e., to transform raw data into tokens). The software used to train the system. The results of the training (i.e., the parameters). All legally shareable data used in the training process. These components collectively enable the study, use, modification and sharing of AI systems in a manner consistent with Open Source principles. What is a skilled person? In legal circles, Skilled Person means any person having the current knowledge, experience and competence to perform a certain duty. This Wikipedia entry provides more details. Is the Open Source AI Definition covering models and weights and parameters? Yes. The Open Source AI Definition makes no distinction between what might be called AI system, model, or weights and parameters. Whether the offering is characterized as an AI system, a model, or weights and parameters, to be called Open Source AI, the requirements for providing the preferred form for making modifications will be the same. If you are interested in learning more about Open Weights, please read this article. Why do you require training code while OSD #2 doesn’t require compilers? AI and software are radically different domains, and drawing comparisons between them is rarely productive. OSD point #2 doesn’t mandate that Open Source software uses only compilers released with an OSI-Approved License because compilers are standardized, de jure (like ANSI C) or de facto like TurboPascal or Python. It was generally accepted that to develop more Open Source software one could use a proprietary development environment. For machine learning, the training code is not standardized, and therefore it must be part of the preferred form of making modifications to preserve the right to fork an AI system. Why is there no mention of safety and risk limitations in the Open Source AI Definition? The Open Source AI Definition does not specifically guide or enforce ethical, trustworthy, or responsible AI development practices. However, it does not put up any barriers that would prevent developers from adhering to such principles if they chose to. The efforts to discuss the responsible development, deployment and use of AI systems, including through appropriate government regulation, are a separate conversation. A good starting point is OECD’s Recommendation of the Council on Artificial Intelligence, Section 1: Principles for responsible stewardship of trustworthy AI . Are model parameters copyrightable? The Open Source AI Definition does not take a stance on the legal nature of Parameters. They may be free by nature, or a license or other legal instrument may be required to ensure their freedom. Whether model parameters are copyrightable will become clearer over time as the legal system has more opportunities to address this issue. In any case, we require an explicit assertion accompanying the distribution of Parameters that assures that they are freely available to all. Why will parameters be available under “OSI-approved terms” but the code will be under “OSI-approved licenses”? Are you going to allow restrictions on the terms for models? We used the word “terms” instead of “license” for models because, as mentioned above, we do not yet know what the legal mechanism will be to assure that the models are available to use, study, modify and share. We used “terms” to avoid suggesting that a “license” is the only legal mechanism that could be used. That said, to be approved by the OSI, the terms for parameters must assure the freedom to use, study, modify and share. Why is the “Preferred form to make modifications” limited to machine learning? The principles stated in the Open Source AI Definition are generally applicable to any kind of AI, but machine learning challenges the Open Source Definition. For machine learning, a set of artifacts (components) is required to study and modify the system, thus requiring a new explanation of what is necessary to study and modify the system. Which AI systems comply with the Open Source AI Definition? As part of our validation and testing of the OSAID, the volunteers checked whether the Definition could be used to evaluate if AI systems provided the freedoms expected. The list of models that passed the Validation phase are: Pythia (Eleuther AI), OLMo (AI2), Amber and CrystalCoder (LLM360), and T5 (Google). A few others that were analyzed would probably pass if they changed their licenses/legal terms, for example, BLOOM (BigScience), Starcoder2 (BigCode), and Falcon (TII). Those that have been analyzed and don’t pass because they lack required components and/or their legal agreements are incompatible with the Open Source principles include Llama2 (Meta), Grok (X/Twitter), Phi-2 (Microsoft), and Mixtral (Mistral). These results should be seen as part of the definitional process, a learning moment; they are not certifications of any kind. OSI will continue to validate only legal documents and will not validate or review individual AI systems, just as it does not validate or review software projects. What’s the next step? The Open Source AI Definition reflects a thoughtful and inclusive process endorsed by leading AI developers, researchers and practitioners. It culminates in a first step represented in version 1.0 of the OSAID. The definition acknowledges that AI fundamentally differs from software and requires a tailored approach. Misunderstandings about the OSAID often arise from attempts to apply software engineering paradigms to AI, leading to confusion. By embracing the unique characteristics of AI systems, the OSAID offers a robust framework for fostering transparency, innovation and collaboration in AI development. As we navigate AI’s evolving landscape, it is crucial to engage thoughtfully and constructively with these definitions. By doing so, we can ensure that AI systems remain open, accessible and aligned with the principles of the broader Open Source movement. Our work is only possible thanks to our members. Join us today! 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https://refine.dev/blog/bolt-new-ai/#:~:text=Bolt,higher%20plan%20for%20continued%20access | Bolt.new - AI Web App Builder | Refine Skip to main content Documentation Tutorial Templates Integrations Blog Refine Home Search ⌘K Loading... Explore Refine AI The next-gen approach to build enterprise-ready React-based internal tools with the power of GenAI. Learn more Back to blog Share on: February 5, 2025 12 min read Bolt.new - AI Web App Builder This article was last updated on August 1, 2025, to add a note on security best practices when working with AI-generated code. Introduction Let’s face it — building web apps can sometimes feel like a long, uphill climb. Between setting up environments, writing repetitive boilerplate code, and troubleshooting bugs, it’s easy to see why developers are always on the lookout for faster, more efficient ways to work. That’s where AI-powered app builders steps in. Bolt.new, an AI-powered web app builder developed by the StackBlitz team, aims to redefine how developers approach building applications by making the process faster and effortless. In this article, I’ll walk you through what Bolt.new is, its key features, and why AI-powered web development platforms will be a game-changer for anyone in web development. Steps we'll cover in this article: What is Bolt.new AI? How to use Bolt.new? Pricing - How much does it cost? Traditional development vs AI-powered code generation When to Use Bolt.new? Limitations Bolt.new Alternatives What is Bolt.new AI? At its core, it’s an AI-powered app builder that helps developers who want to simplify the way they create web applications. With just a few prompts, you can generate the foundation of your app — no endless configurations or setups required. Who’s it for? If you’re: Working on a complex app and need a quick way to generate the foundational boilerplate to jump straight into scaling and customization, A web developer looking to save time, Part of a small team needing a fast way to prototype ideas, or Someone who wants to test an app concept without a steep learning curve, then Bolt.new is built with you in mind. It’s all about making web app development more accessible, efficient, and, let’s be honest, a little more fun. The magic behind Bolt.new is its use of AI-powered code generation by integration Anthropic's Claude . By simply describing what you want to build, you can get a fully functional app structure in minutes. How to use Bolt.new? Getting started with Bolt.new is a simple. In a matter of a few clicks, you can have an app in motion, with none of the usual environment configuration and boilerplate-code-writing headaches involved. 1. Open the Bolt.new website Head over to bolt.new . There, a clean UI waits for your use, with no complex installation, no secondary download. 2. Describe your app concept At the heart of Bolt.new is its AI feature. All one has to do is simply enter a quick description of an app one wants to build, for example: Type: “I'd prefer an blog app with Astro.” The app will produce the app’s layout and code in a matter of seconds. It’s like describing to a friend what you need and having them organize most of the work for you. 3. Customize your Code Once the app skeleton is produced, a full-fledged code editor will become accessible to you. There, you can: Adjust the format Add custom feature Integrate npm packages inbuilt in the platform It’s designed to enable you to build and update your app in your web browser. 4. Test your app Bolt.new comes with a built-in runtime environment. There is no installation of servers and no configuration to undertake: simply press "Run," and your app will run in your hands 5. Deploy your app with ease Immediate deployment options are at your fingertips, and your app can be shared with a live URL in mere clicks. There is no hosting configuration to concern yourself with, no deployment pipelines to navigate. With its native Netlify integration, deploying your app is a matter of clicks: Click the Deploy button Bolt.new will have everything taken care of in the background, including hosting settings. Within moments, a live URL will be delivered, hosted at Netlify, and ready to share with everyone. Pricing - How much does it cost? When working with AI platforms, having an awareness of tokens is critical in effectively using the platform and maximizing its capabilities. Tokens have a direct bearing in AI processing your request, generating output, and even pricing. Bolt.new offers free daily tokens to get you started with AI-powered features. Once you’ve used up your daily token limit, these features will be paused until your tokens reset the next day, or you can upgrade to a higher plan for continued access. OK but what is a token? A token is simply a small portion of text. For example: The sentence “AI helps developers.” would be broken down into tokens like “AI”, “helps”, “developers”, and “.” — each word and punctuation mark counts as a token. AI models like Bolt.new’s backend (LLMs) process text as tokens. They break down your input, analyze these pieces, and predict the next token(s) to create a response, whether that’s code or text. Token Limits: How Do They Work AI systems can only handle a certain number of tokens at once, and this total includes: The input that you enter, for example, a long query or a long app description The output generated, for instance, a code suggestion, or an app blueprint This means that larger output or larger input can hit token limits in a shorter period, and possibly even requires partitioning work into smaller segments. Token Costs Using an AI-powered platform like Bolt.new involves costs based on token usage. The general rule is simple: Fewer tokens = Less expense The number of processed tokens will have a direct bearing on cost, and, subsequently, efficiency with your I/O is critical. Here’s a calculation for token costing in a range of work in codes: Task Approx. Token Cost Simple function (10 lines) 50-100 tokens Medium script (50 lines) 300-500 tokens Complex logic (100+ lines) 1,000+ tokens Full application (~1,000 lines) 8,000+ tokens Why tokens matter in your project? As your app becomes increasingly complex, so will the number of tokens your app will use to run. For example: Writing a simple helper function (for instance, a quick-fire API request) can involve 50-100 tokens. Generating the logic for a complete app can require a thousand of tokens, and that can become a significant expense. By being careful in your use of tokens, you can maximize your project's efficiency. Be careful with your tokens Understanding how tokens work can allow one to: Write efficient prompts for AI tools Keep your projects budgeted, even when they blow out Make better choices about your work in generating codes and its form and development With this in consideration, you're in a position to use Bolt.new to its full potential for your web development activity. ::: Traditional development vs AI-powered code generation Let’s take a break and compare AI-powered code generation with traditional development methodologies. In case you have been developing "the traditional" manner(most probably:D), then you may enjoy these comparisons at once. Manual Configuration and AI-Creation Traditional development involves a lot of setup work—choosing a framework, including dependencies, creating environments, and all that sort of thing. With Bolt's AI-driven creation, simply speak your desire, and it will build your base for you in seconds. No hands-on, instant output. Longer Deployment Cycles and On-Demand Deployment In traditional workflows, deploying an app can become a multi-step process. You can have to navigate hosting configuration, pipeline configuration, and debugging in between. All of that is bypassed with immediate deploying in Bolt via Netlify integration. When to Use Bolt.new? Bolt.new shines in scenarios where both speed and usability are crucial, helping you cut through repetitive tasks and get straight to building what matters. Let me walk you through some real-world examples of how this tool can make your life easier. Boilerplate for Complex Apps Even for larger, more complex applications, Bolt.new can be a lifesaver when it comes to generating the foundational boilerplate. Instead of spending hours setting up the basic structure, you can jump straight into fine-tuning and scaling your app. It’s like getting a head start in a marathon—most of the groundwork is already done, so you can focus on the challenging, rewarding parts of development. Rapid Prototyping Ever had a brilliant app idea in the middle of the night but didn’t have the time or energy to go through the full setup process? It’s as if you’re sketching out your vision, but instead of paper, you get working code. Perfect for testing concepts quickly without wasting time. Business Apps If you’re working on a business app under a tight deadline, Bolt.new can save you tons of time. For example, imagine you company needs a simple inventory management system. Rather than starting everything from scratch, Bolt.new helps you generate the basic structure and features in seconds. Personal Projects We all have those side projects that we’ve been meaning to start but keep putting off because setting them up feels overwhelming. With AI app generators, you’ve got no excuses left! For instance, I finally started working on my “Kitesurf Spot Recommendation App 🏄” after being lazy for months. Bolt.new made it so easy to get started that I couldn’t delay it any longer—it practically forced me to bring my idea to life. Whether it’s a complex app or a quick demo, it takes care of the heavy lifting so you can focus on what truly matters: creating something amazing. 🚀 Limitations Any tool isn't perfect, and with its caveats. I'd like to talk about a few areas in which it won't necessarily be a best fit. Scalability If you’re dealing with a large, complex project with many requirements, sometimes Bolt.new can fall a little short. For example, when developing a multi-faceted enterprise app with a tons of integrations, AI-code generators can fall a little short for your requirements. It’s a little similar to a Swiss Army knife: incredibly useful for most work, but for a big, heavy-duty one, a specific tool will most likely serve you best. Advanced Customization Bolt.new is ideal for a strong foundation, but when you have a lot of specific detail involved—like a very specific algorithm, a completely custom UI, etc.—you will most likely have a work in front of you. It’s kind of working with a prefab house: efficient and speedy, but when actually building a real one-off, sometimes you have to summon an architect (in my case, your own custom code). These limitations don’t take away from what Bolt.new does best, but it’s good to know where it shines and where it might fall short. For quick and efficient development, it’s an incredibly powerful tool. For massively customized work, you’ll most likely have to use it in combination with traditional development methodologies, though. Just keep in mind: no tool can possibly work for everyone;D Faster Prototyping: How it reduces development time for MVPs and prototypes. Lower Learning Curve: Makes advanced tools accessible to less experienced developers. Collaboration: Enables teams to share projects instantly via URLs. Seamless Workflow: Combines development, testing, and deployment into one platform. ::: A Note on Security While AI-powered builders like Bolt.new are incredibly efficient for generating code, it’s crucial to treat the output as a first draft from a talented but junior developer. Always review the generated code for potential security vulnerabilities, especially in applications that handle user data or authentication. Pay close attention to things like input sanitization, API key exposure, and proper error handling. Integrating AI into your workflow should augment, not replace, your critical review and security best practices. Bolt.new Alternatives If you’re looking for alternatives to Bolt.new, three important options for similar requirements in AI-powered app development include. I'll cover this tools in a separate article later on. Replit Agent: Replit’s AI-powered, enables collaboration and development for developers and helps them work in an effective manner. Lovable: Lovable focuses its work in simplifying app development through AI-powered workflows. Vercel V0: Vercel’s v0 AI tool is designed specifically for creating React and Tailwind CSS UI components out of natural language definitions. Each of them have its respective strengths, and selecting one will rely on your individual requirements for your project, rapid prototyping, deploying at a larger level, or working together in a group environment. More Refine technical articles on AI-Powered Development Lovable AI App Builder Replit AI Code Editor Vercel v0 Conclusion Bolt.new is more than just a tool—it’s a fresh take on how we build web apps. By taking care of the tedious setup and boilerplate, it lets you focus on what really matters: creating something impactful. Whether you’re prototyping a new idea, building for a business, or tackling a side project you’ve been putting off, Bolt.new makes it faster and easier. Why not give it a try and see how it fits into your workflow? Related Articles Quality Code Generation: Multi-Agent Systems and Token Dilution How Refine AI's multi-agent system architecture effectively tackles token dilution, drastically improving code generation quality. June 12, 2025 Vercel v0 - AI-Powered UI Generator Let's explore Vercel v0, an AI-powered UI generator that helps developers quickly scaffold UI elements. March 6, 2025 Code Comments: The Good, The Bad, and The Hilarious A guide to writing comments that help (and avoiding the ones that hurt), with a collection of the funniest gems from real codebases. August 15, 2025 ai Introduction What is Bolt.new AI? How to use Bolt.new? Pricing - How much does it cost? OK but what is a token? Token Limits: How Do They Work Token Costs Why tokens matter in your project? A Note on Security Bolt.new Alternatives More Refine technical articles on AI-Powered Development Conclusion Refine Inc. 447 Sutter St 405, San Francisco info@refine.dev Resources Documentation Tutorials Blog Product Templates Integrations Company About Contact Us Join us on Refine Inc. 447 Sutter St 405, San Francisco info@refine.dev Join us on Terms & Conditions Privacy Policy License © 2026, Refine from SF to wherever you are | 2026-01-13T08:49:39 |
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https://refine.dev/blog/lovable-ai/#:~:text=Lovable%20builds%20front,is%20in%20alpha%2C%20using%20Supabase | Lovable.dev - AI Web App Builder | Refine Skip to main content Documentation Tutorial Templates Integrations Blog Refine Home Search ⌘K Loading... Explore Refine AI The next-gen approach to build enterprise-ready React-based internal tools with the power of GenAI. Learn more Back to blog Share on: February 12, 2025 14 min read Lovable.dev - AI Web App Builder Update (August 2025): This article has been updated to include information about Lovable.dev v2, including new features, improvements, and enhanced AI capabilities. Introduction Building software has traditionally been a complex and time-consuming process, often requiring teams of developers to carefully craft every line of code. But what if I could drastically simplify this process? Enter Lovable.dev , an AI-powered app builder that’s designed to revolutionize how we approach software development. In this article, I’ll explore what makes Lovable AI code generation a cool tool for developers. We’ll dive into its features, pricing, and real-world use cases, and also discuss where it shines (and where it might fall short). Whether you’re a startup founder, a solo developer, or part of a larger team, this guide will help you understand how it can fit into your development workflow. Steps we will cover: Introduction What is Lovable AI? How to use lovable.dev? 1. Sign Up and Log In 2. Define Your Project 3. Customize the Output 4. Deploy Your App Pricing - How much does it cost? Messaging Limits: How Many Messages Can You Send? Free Plan: What’s Included? Paid Plans: What Are the Options? AI code generation vs traditional development Limitations of AI-Driven Code Generation Lovable v2 When Does Lovable.dev Make Sense? Lovable.dev Alternatives More Refine technical articles on AI-Powered Development Conclusion What is Lovable AI? Let me put it this way, lovable dev is like having a helpful team member for your app development journey. It’s an AI-powered system that promises to remove the pain of app creation by generating the skeleton of your project with some basic instructions. It acts as your AI co-engineer, enabling you to generate fully functional apps simply by describing what you need. From building your app’s foundation to integrating APIs and managing deployment,it handles it all with remarkable efficiency. You instruct it what you wish to build, and it does the heavy lifting of building the groundwork for you. It supports popular frameworks like React and TypeScript and even integrates with tools like Stripe and Supabase. So you can bypass the hours of boilerplate code and jump straight into polishing and adding your own flair. Now, who is this for? If you're: A developer trying to save time at the start of a project, Someone testing an idea and needing a functional prototype quickly, A small group looking for efficient ways of developing apps, or A beginner trying to dip your toes into app development without needing to deal with complex setups, then Lovable might be worth a closer look. It’s all about simplifying the process and letting you focus on the fun (and challenging) parts of development. What tech stacks does Lovable know? Lovable builds front-end using React, Tailwind & Vite, and can connect to OpenAPI backends. Support for data persistence and authentication is in alpha, using Supabase. How to use lovable.dev? Like other AI web app builders, it has integration to Anthropic's Claude, and in practice, it’s not significantly different from using tools like Claude Chat or ChatGPT for generating. 1. Sign Up and Log In Go to Lovable.dev and create an account. You’ll land on a prompt field that reads, “Ask Lovable to create an…”. 2. Define Your Project Start by entering a natural language description of what you want to build. For example: “Build a blog web app with Next.js” Lovable will process your input and generate the foundational code for your project 3. Customize the Output Your app is given a shareable link so that you can see it live in action. After Lovable AI has generated the base of your app, you can personalize it. I normally start by modifying the components—adding or removing features as required. If the user interface doesn't feel just right, I spend some time refining it or altering the logic to suit my exact requirements. Lovable also provides easy editing with basic tools like undo and version history. You can experiment with changes, roll back if needed, and improve your project step by step. And, if you prefer, you can directly edit code changes in GitHub or your favorite IDE, and Lovable will synchronize everything. One thing that I particularly love is the ease with which it lets you link APIs. Simply tell it like, "Set up Stripe for payments" or "Connect this with OpenAI for text generation", and it does the grunt work for you. It is literally like having an extra pair of hands to take care of the tedious work so that I can focus on the fun parts of building. 4. Deploy Your App When your app is ready, deploy it effortlessly. Lovable integrates seamlessly with platforms like Netlify( Congrats on Netlify to support most of AI agent tools💙), making deployment as simple as clicking a button. Your app gets a shareable URL so you can see it live in action. Pricing - How much does it cost? Lovable AI follows a freemium model, meaning you can start for free but might need to upgrade depending on your usage. Lovable uses the same kind of token system as other AI-based tools. Every time you create, edit, or ask for revisions, you use up tokens. The more complex the request, the more tokens are required. Tokens are the AI's fuel. You'll require less if you're just making small changes. You'll require more if you're building an entire app from scratch. Monitoring your tokens closely saves you money while you continue to get the most out of it. Messaging Limits: How Many Messages Can You Send? Lovable.dev has a daily and monthly message limit , mostly because LLMs (Large Language Models) are expensive to run. To keep things running smoothly, Lovable limits how many messages you can send based on your plan. Free Plan: What’s Included? If you're just exploring, the free plan gives you: 5 free messages per day Maximum of 30 messages per month Just keep in mind: Unused messages don’t roll over. If you don’t use your daily quota, it’s gone—no carrying it over to the next day or month. NOTE Sometimes, using more AI tokens to guide the AI properly results in better long-term outcomes. Well-structured guidance leads to higher-quality code and more efficient development. Paid Plans: What Are the Options? If you need more than the free plan offers, Lovable ai offers several paid tiers , each with an increased message allowance. All paid plans include: 5 free daily messages (same as the free plan) Another monthly message quota Here’s a quick breakdown: Plan Daily Messages Monthly Messages Total Messages per Month Starter 5 (up to 150) 100 250 Launch 5 250 400 Scale 1 5 500 650 Scale 2 5 1,000 1,150 Scale 3 5 1,500 1,650 Scale 4 5 2,000 2,150 Scale 5 5 3,000 3,150 Scale 6 5 4,000 4,150 Scale 7 5 5,000 5,150 The higher the plan, the more messages you can send —so if you're planning to use Lovable extensively, you’ll probably need to upgrade. TIP One cool thing: "Ask the AI to fix" messages don’t count toward your usage limit , so you can make adjustments without worrying about burning through your quota. AI code generation vs traditional development Building software once meant doing everything manually—from framework installation to dependency management and handling deployments. It’s a kind of complex process but one that is often traded at the cost of time and complexity. AI-powered tools are changing this by automating the boilerplate tasks so that developers can start implementing meaningful features right away. Project Setup: One of the biggest differences is in project setup. Normally, you would begin by choosing a framework, installing dependencies, and setting up your project before you've even written one feature. AI web app builders let you skip that step—you simply inform it what you need, and it generates a working project configuration in a matter of seconds. Instead of hours of setup, you're immediately in a place to construct. Deployment : Deployment is also a major dividing line between AI-driven and manual development. With a manual process, deploying an app live usually means arranging hosting, setting up CI/CD pipelines, and debugging along the way. AI-powered platforms, nevertheless, attempt to remove these pain points by offering pre-designed deployment options with little effort needed. While not a total replacement for full customization, it definitely makes it easier for most use cases. Lovable v2: What’s New Lovable v2 brings several exciting improvements over the original version. It introduces a more intuitive user interface, faster AI-generated code, and enhanced support for additional frameworks and integrations. Version 2 also improves error handling and debugging suggestions, making it easier to improve and deploy apps quickly. Another notable feature is the expanded API integration options, allowing developers to connect with more third-party services seamlessly. A standout addition in Lovable v2 is multiplayer coding , which allows multiple developers to collaborate on the same codebase in real time. This feature enhances teamwork, reduces merge conflicts, and makes pair programming or group development sessions much more seamless. Overall, Lovable v2 focuses on speed, flexibility, and a smoother development experience. Limitations of AI-Driven Code Generation Let's be realistic—AI in software development is in its early days. AI hype has reached stratospheric levels over the past year, and over the past five months, AI-powered web code generators have started to be used seriously. The weaknesses I will enumerate below hold good today, but that will not necessarily be true tomorrow. Who can tell? Six months from now, these issues could be completely eliminated. When that happens, we will argue again. Code Quality and Optimization : AI-generated code is not optimized. Alright, it gets you up and running quicker, but the output generated can sometimes be bloated, inefficient, or simply not following best practices. A human developer still needs to intervene, review and optimize the generated code to make it maintainable and performant. Limited Customization : They are great at boilerplate generation, but the moment you need anything that falls outside of their standard templates, you can be stuck with rigid frameworks or hand-coding huge chunks of code. AI tools are great at generic applications but fall short when deep customization is required. Debugging Complexity: Debugging AI-generated code is difficult because you did not create it yourself. Debugging errors is similar to trying to understand someone else's thought process—except that "someone" is an AI, making debugging even more complex. Scalability Issues: AI-generated apps can work for small projects, but as complexity grows, it might be challenging to scale and maintain the codebase. If the AI-generated architecture is not scalable, developers can struggle when they attempt to scale apps efficiently. Security Threats: AI models aren't necessarily following best practices around security, and they may generate code with issues that an experienced developer would otherwise pick up. Blind reliance on AI-generated authentication, API integrations, or database configurations can fail if there are not suitable security audits performed. Security vulnerabilities introduced by AI-generated code can be catastrophic. Over-Dependence on AI: AI software is meant to enhance, not replace, software developers. Over-reliance on AI-generated code that is not understood will lead to a knowledge gap, whereby developers will be increasingly dependent on the tool rather than improving their coding skills. This, in the long term, can lead to poorer problem-solving abilities and lack of advanced technical skills. The Requirement for Human Supervision At the end of the day, AI-powered development tools are just that—tools. They can help enhance productivity, remove friction from the start of a project, and even help with brainstorming, but they don't replace veteran developers who possess the capability to optimize, and scale applications correctly. AI can be a great assistant, but human judgment is still necessary. That being said, technology moves fast. Today’s AI code might have all these problems, but six months from now we might be looking at a whole different set of circumstances. At which time, we’ll be having different discussions about the next set of developments. When Does Lovable.dev Make Sense? For developers who need to get up and running quickly, Lovable.dev can be a great choice. It is not intended to replace traditional development but to enable the early stages of a project to be faster and more streamlined. For instance, if you’re constructing a bigger application, AI-generated scaffolding can give you a solid foundation, with you focusing on business logic and customization rather than boilerplate configuration. It’s similar to starting a long journey with a head start—you’re skipping the most tedious part and diving into the real work. It’s also fantastic for rapid prototyping. If you have an idea you want to test, Lovable.dev allows you to have a working prototype up and running in minutes, rather than days. Rather than having to invest time in setting up a project, you can move on to iterating and testing. For business tools or internal projects, where speed matters more than full control, AI-generated code can save time. Instead of coding an inventory manager or dashboard from scratch, you get a working version in seconds and tweak it as needed. And of course, there are personal projects—the ones you keep delaying because setting them up feels like a hassle. AI-generated code isn’t a perfect solution, but it’s a handy tool when you want things to be quick and easy. Whether you’re building a serious app or just testing an idea, skipping the boring setup can make development more enjoyable. Lovable.dev Alternatives If you’re exploring alternatives to Lovable.dev, there are a few other AI-powered app development tools worth considering. Each comes with its own strengths, depending on your needs—whether it’s rapid prototyping, AI-assisted UI generation, or collaborative coding. I’ll cover these in more detail in a separate article, but here’s a quick overview: Replit AI Agent : Replit’s AI-powered coding assistant helps developers generate and refactor code directly in their IDE. It’s particularly useful for collaborative coding and AI-assisted debugging. Vercel V0 : Vercel’s v0 tool focuses on UI generation, converting natural language prompts into Tailwind CSS and React components. It’s best suited for front-end developers looking to streamline their design-to-code workflow. Bolt.new : Similar to Lovable, Bolt.new helps developers generate full-stack app structures using AI, automating much of the boilerplate work. Each of these tools takes a different approach to AI-assisted development, so the best choice depends on your specific workflow—whether you need end-to-end scaffolding, UI generation, or AI-powered code assistance. More Refine technical articles on AI-Powered Development Vercel v0 Replit AI Code Editor Bolt AI App Builder Conclusion Lovable.dev is not just another AI tool, but a new way of developing web applications. By handling the setup and boilerplate in advance, you get to cut straight to the fun: building and iterating on your app. Whether you're prototyping a new idea, creating an internal business application, or finally working on that personal project you've been delaying, Lovable.dev streamlines the process so you can get started faster. Related Articles What is "Vibe Coding" Ever had a half-formed idea that you just wanted to see in motion, without the usual development overhead? June 24, 2025 Replit AI Agent - AI Web App Builder We'll explore how Replit helps streamline the development process from generating project scaffolding to deploying applications. February 17, 2025 Purpose-Built AI Agents - The Future of Internal Enterprise Apps How AI shapes the internal enterprise software development with purpose-built agents. June 2, 2025 ai Introduction What is Lovable AI? How to use lovable.dev? 1. Sign Up and Log In 2. Define Your Project 3. Customize the Output 4. Deploy Your App Pricing - How much does it cost? Messaging Limits: How Many Messages Can You Send? Free Plan: What’s Included? Paid Plans: What Are the Options? AI code generation vs traditional development Lovable v2: What’s New Limitations of AI-Driven Code Generation When Does Lovable.dev Make Sense? Lovable.dev Alternatives More Refine technical articles on AI-Powered Development Conclusion Refine Inc. 447 Sutter St 405, San Francisco info@refine.dev Resources Documentation Tutorials Blog Product Templates Integrations Company About Contact Us Join us on Refine Inc. 447 Sutter St 405, San Francisco info@refine.dev Join us on Terms & Conditions Privacy Policy License © 2026, Refine from SF to wherever you are | 2026-01-13T08:49:39 |
https://dev.to/danieljsaldana/estado-actual-de-goliat-dashboard-descubre-sus-funcionalidades-3e86 | Estado actual de Goliat Dashboard: ¡Descubre sus funcionalidades! - 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 J. Saldaña Posted on Mar 7, 2025 Estado actual de Goliat Dashboard: ¡Descubre sus funcionalidades! # astro # development # react # español En este video comparto el estado actual de Goliat Dashboard, la plataforma que estoy construyendo para facilitar la gestión de proyectos mediante tecnología moderna, combinando Astro, React e integración con IA. Explico en detalle sus funcionalidades actuales, las próximas mejoras y cómo puedes aprovechar Goliat Dashboard para optimizar tu flujo de trabajo. ¡Espero tu feedback en los comentarios! 🙌 PD: Disculpa los ronquidos de mi peludo amigo, ¡parece que no le interesó tanto la charla! 🐶😴 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 Daniel J. Saldaña Follow Soy Product Owner, con un background de DevOps, SRE, SysAdmin y Software Arquitect, entusiasta de la automatización 🚀 y fanático del anime y de la cultura japonesa 🇯🇵 Location Almería Work Civir Joined Jun 4, 2022 More from Daniel J. Saldaña He lanzado un nuevo proyecto para aprender japonés # webdev # ghost # product # development Goliat Dashboard: Cambios en nuestra IA, reportes y gestión de workflows # development # devops # opensource # goliatdashboard Explorando el poder interno del Agente de IA en Goliat Dashboard # webdev # astro # opensource # devops 💎 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 | 2026-01-13T08:49:39 |
https://opensource.org/ai/faq#what-s-the-difference-between-the-open-source-definition-and-the-open-source-ai-definition | OSAID FAQs – Open Source Initiative Skip to content Get involved About Licenses Open Source Definition Open Source AI Programs Blog Get involved About Licenses Open Source Definition Open Source AI Programs Blog Open Source AI Open Source AI OSAID 1.0 Process Timeline Open Weights FAQ Endorsements Open Main Menu THE open source ai definition 1.0 We have released the first stable version of the Definition. Read version 1.0 Answers to Frequently Asked Questions The Open Source AI Definition (OSAID) represents an important first step in defining Open Source in an AI context. Because AI systems differ fundamentally from traditional software, the OSAID seeks to establish the first set of clear, practical guidelines for development, use and modification of AI systems in keeping with the Open Source ethos. Unfortunately, misconceptions about the definition persist, often stemming from a lack of understanding of the nature of AI. This post aims to clarify key points and provide a forward-looking perspective on the importance of the OSAID. THE open source ai definition 1.0 FAQs What Is an AI System? What is an Open Source AI? Why did you write the Open Source AI Definition? What’s the difference between the Open Source Definition and the Open Source AI Definition? Isn’t training data required to program the AI system? What is the role of training data in the Open Source AI Definition? Why do you allow the exclusion of some training data? How did you arrive at this conclusion? Is it compromising Open Source ideals? What kind of data should be required in the Open Source AI Definition? How do you fix a buggy AI system? What is a skilled person? Is the Open Source AI Definition covering models and weights and parameters? Why do you require training code while OSD #2 doesn’t require compilers? Why is there no mention of safety and risk limitations in the Open Source AI Definition? Are model parameters copyrightable? Why will parameters be available under “OSI-approved terms” but the code will be under “OSI-approved licenses”? Are you going to allow restrictions on the terms for models? Why is the “Preferred form to make modifications” limited to machine learning? Which AI systems comply with the Open Source AI Definition? What’s the next step? FAQs What Is an AI System? According to the OSAID, an AI system aligns with the definition provided by the Organisation for Economic Co-operation and Development (OECD): An AI system is a machine-based system that, for explicit or implicit objectives, infers, from the input it receives, how to generate outputs such as predictions, content, recommendations, or decisions that can influence physical or virtual environments. Different AI systems vary in their levels of autonomy and adaptiveness after deployment. In simple terms, an AI system is “the thing” that processes input to produce output, whether that’s a prediction, recommendation, or another result. Anchoring discussions in such common definitions is essential because AI systems differ radically from traditional software. What is an Open Source AI? An Open Source AI is an AI system made freely available with all necessary code, data and parameters under legal terms approved by the Open Source Initiative. For more details, read below. Why did you write the Open Source AI Definition? Point #2 of the Open Source Definition (OSD) says “The program must include source code […] The source code must be the preferred form in which a programmer would modify the program […]” . When we embarked on this initiative, nobody had a clear answer to the question, “What is the preferred form to modify an AI system?” So OSI offered to find the answer along with the broader community by engaging in a co-design process . What’s the difference between the Open Source Definition and the Open Source AI Definition? The Open Source Definition (OSD) refers to software programs. AI and specifically machine learning systems are not simply software programs; they blend boundaries with data, configuration options, documentation and new artifacts, like weights and biases. The Open Source AI Definition describes the preferred form to modify an AI system, providing clarity on interpreting the principles of the OSD in the domain of AI. Isn’t training data required to program the AI system? A frequent misunderstanding about AI systems is equating training data with source code, suggesting that “training data is how the model gets programmed.” Unlike traditional software, AI systems are not programmed in the conventional sense. Instead, they acquire capabilities autonomously during the training process — a phenomenon distinguishing them from software like the Linux kernel. For example, the Linux kernel is: Programmed by humans. Composed of source code that developers can read, study, and modify. Reproducible, meaning its binary form can be reliably rebuilt from its source code. In contrast, modern AI systems such as large language models develop their behavior in ways that are often unpredictable and inexplicable. Training processes are challenging to replicate reliably, even by the system’s creators. These differences necessitated the establishment of a unique definition beyond the Open Source Definition for software. What is the role of training data in the Open Source AI Definition? Open Source means giving anyone the ability to meaningfully fork (study and modify) your system without requiring additional permissions to make it more useful for themselves and everyone else. This is why point #2 of the OSD requires that the source code be provided in the preferred form for making modifications. This way, everyone has the same rights and ability to fork as the original developers, starting a virtuous innovation cycle. However, training data does not equate to a software source code. Training data is important for studying modern machine learning systems. However, it is not what AI researchers and practitioners necessarily use as part of the preferred form for modifying a trained model. The Data Information and Code requirements of the OSAID allow Open Source AI systems to be forked by third-party AI builders downstream using the same information as the original developers. These forks could include removing nonpublic or non-open data from the training dataset in order to train a new Open Source AI system on fully public or open data. Why do you allow the exclusion of some training data? We want Open Source AI to exist in fields where data cannot be legally shared, such as medical AI. Laws that permit training on data often limit the resharing of that same data to protect copyright or other interests. Privacy rules also give people the right to control their most sensitive information, like decisions about their health. Similarly, much of the world’s Indigenous knowledge is protected through mechanisms that are not compatible with later-developed frameworks for rights exclusivity and sharing. There are also many cases where terms of use of publicly available data may give entity A the confidence that they may use it freely and call it “open data,” but not give entity A the confidence they can, in turn, give entity B the same guarantees for use in a different jurisdiction. Meanwhile, entity B may not feel confident using that data in their own jurisdiction. An example is so-called public domain data, where the definition of public domain varies from country to country. Another example is fair-use or private data, where the finding of fair use or privacy laws may require a good knowledge of the law of a given jurisdiction. This resharing is not so much limited as lacking legal certainty . How did you arrive at this conclusion? Is it compromising Open Source ideals? During our co-design process, relationships between the weights and the data drove the highest community engagement. In the “System analysis” phase , the volunteer groups suggested that training and data processing codes were more important for modifying the AI system than accessing the training and testing data. That result was validated in the “Validation phase” and suggested a path that allows Open Source AI to exist on equal grounds with proprietary systems: both can train on the same kind of data. Some people believe that full, unfettered access to all training data (with no distinction of its kind) is paramount, arguing that anything less would compromise the full reproducibility of AI systems, transparency and security. This approach would relegate Open Source AI to a niche of AI trainable only on open data. That niche would be tiny, even relative to the niche occupied by Open Source in the traditional software ecosystem. The requirements of Data Information keep the same approach present in the Open Source Definition; it doesn’t mandate full reproducibility and transparency but enables them (i.e., reproducible builds ). At the same time, setting a baseline requiring Data Information doesn’t preclude others from formulating and demanding more requirements, like the Digital Public Goods Standard or the Free Systems Distribution Guidelines , which add requirements to the Open Source Definition. One of the key aspects of OSI’s mission is to drive and promote Open Source innovation. The approach OSI takes here enables complete user choice with Open Source AI. Users can keep the insights derived from training+data preprocessing code and a description of unshareable training data and build upon those with their own unshareable data and give the insights derived from further training to everyone, allowing for Open Source AI in areas like health care. Alternatively, users can obtain the available and public data from the Data Information and retrain their model without any unshareable data, resulting in more data transparency in the AI system. Like copyleft and permissive licensing, this approach leaves the choice with the user. What kind of data should be required in the Open Source AI Definition? A significant challenge in AI is the role of data. Unlike traditional software, where source code is the primary artifact, AI systems depend heavily on data — not just any data, but data processed and curated into training datasets. The OSAID recognizes the legal and ethical complexities of data sharing and uses precise legal terms to outline expectations. While not all raw data can be freely distributed, the Definition ensures that the essential elements for modifying an AI system are accessible. There are four classes of data, based on their legal constraints, all of which can be used to train Open Source AI systems: Open training data: data that can be copied, preserved, modified and reshared. It provides the best way to enable users to study the system. This must be shared. Public training data: data that others can inspect as long as it remains available. This also enables users to study the work. However, this data can degrade as links or references are lost or removed from network availability. To obviate this, different communities will have to work together to define standards, procedures, tools and governance models to overcome this risk, and Data Information is required in case the data becomes later unavailable. This must be disclosed with full details on where to obtain it. Obtainable training data is data that can be obtained, including for a fee. This information provides transparency and is similar to a purchasable component in an open hardware system. The Data Information provides a means of understanding this data other than obtaining or purchasing it. This area is likely to change rapidly and will need careful monitoring to protect Open Source AI developers. It must be disclosed with full details on where to obtain it. Unshareable nonpublic training data: data that cannot be shared for explainable reasons, like Personally Identifiable Information (PII). For this class of data, the ability to study some of the system’s biases demands a detailed description of the data – what it is, how it was collected, its characteristics, and so on – so that users can understand the biases and categorization underlying the system. This must be revealed in detail so that, for example, a hospital can create a dataset with identical structure using its own patient data. OSI believes that all these classes of data can be part of the preferred form of making modifications to the AI system. This approach both advances openness in all the components of the AI system and drives more Open Source AI, including private-first areas such as health care. How do you fix a buggy AI system? A core question the OSAID addresses is: How do you fix a buggy AI system? For traditional software, the Open Source Definition provides a clear answer: The program must include source code, and must allow distribution in source code as well as compiled form. The source code must be the preferred form in which a programmer would modify the program. However, modifying an AI system requires more than just source code. After extensive consultation with AI developers, researchers and practitioners, the community, through the OSAID co-design process, concluded that the preferred form for modifying an AI system includes: The software used to create the dataset (i.e., to transform raw data into tokens). The software used to train the system. The results of the training (i.e., the parameters). All legally shareable data used in the training process. These components collectively enable the study, use, modification and sharing of AI systems in a manner consistent with Open Source principles. What is a skilled person? In legal circles, Skilled Person means any person having the current knowledge, experience and competence to perform a certain duty. This Wikipedia entry provides more details. Is the Open Source AI Definition covering models and weights and parameters? Yes. The Open Source AI Definition makes no distinction between what might be called AI system, model, or weights and parameters. Whether the offering is characterized as an AI system, a model, or weights and parameters, to be called Open Source AI, the requirements for providing the preferred form for making modifications will be the same. If you are interested in learning more about Open Weights, please read this article. Why do you require training code while OSD #2 doesn’t require compilers? AI and software are radically different domains, and drawing comparisons between them is rarely productive. OSD point #2 doesn’t mandate that Open Source software uses only compilers released with an OSI-Approved License because compilers are standardized, de jure (like ANSI C) or de facto like TurboPascal or Python. It was generally accepted that to develop more Open Source software one could use a proprietary development environment. For machine learning, the training code is not standardized, and therefore it must be part of the preferred form of making modifications to preserve the right to fork an AI system. Why is there no mention of safety and risk limitations in the Open Source AI Definition? The Open Source AI Definition does not specifically guide or enforce ethical, trustworthy, or responsible AI development practices. However, it does not put up any barriers that would prevent developers from adhering to such principles if they chose to. The efforts to discuss the responsible development, deployment and use of AI systems, including through appropriate government regulation, are a separate conversation. A good starting point is OECD’s Recommendation of the Council on Artificial Intelligence, Section 1: Principles for responsible stewardship of trustworthy AI . Are model parameters copyrightable? The Open Source AI Definition does not take a stance on the legal nature of Parameters. They may be free by nature, or a license or other legal instrument may be required to ensure their freedom. Whether model parameters are copyrightable will become clearer over time as the legal system has more opportunities to address this issue. In any case, we require an explicit assertion accompanying the distribution of Parameters that assures that they are freely available to all. Why will parameters be available under “OSI-approved terms” but the code will be under “OSI-approved licenses”? Are you going to allow restrictions on the terms for models? We used the word “terms” instead of “license” for models because, as mentioned above, we do not yet know what the legal mechanism will be to assure that the models are available to use, study, modify and share. We used “terms” to avoid suggesting that a “license” is the only legal mechanism that could be used. That said, to be approved by the OSI, the terms for parameters must assure the freedom to use, study, modify and share. Why is the “Preferred form to make modifications” limited to machine learning? The principles stated in the Open Source AI Definition are generally applicable to any kind of AI, but machine learning challenges the Open Source Definition. For machine learning, a set of artifacts (components) is required to study and modify the system, thus requiring a new explanation of what is necessary to study and modify the system. Which AI systems comply with the Open Source AI Definition? As part of our validation and testing of the OSAID, the volunteers checked whether the Definition could be used to evaluate if AI systems provided the freedoms expected. The list of models that passed the Validation phase are: Pythia (Eleuther AI), OLMo (AI2), Amber and CrystalCoder (LLM360), and T5 (Google). A few others that were analyzed would probably pass if they changed their licenses/legal terms, for example, BLOOM (BigScience), Starcoder2 (BigCode), and Falcon (TII). Those that have been analyzed and don’t pass because they lack required components and/or their legal agreements are incompatible with the Open Source principles include Llama2 (Meta), Grok (X/Twitter), Phi-2 (Microsoft), and Mixtral (Mistral). These results should be seen as part of the definitional process, a learning moment; they are not certifications of any kind. OSI will continue to validate only legal documents and will not validate or review individual AI systems, just as it does not validate or review software projects. What’s the next step? The Open Source AI Definition reflects a thoughtful and inclusive process endorsed by leading AI developers, researchers and practitioners. It culminates in a first step represented in version 1.0 of the OSAID. The definition acknowledges that AI fundamentally differs from software and requires a tailored approach. Misunderstandings about the OSAID often arise from attempts to apply software engineering paradigms to AI, leading to confusion. By embracing the unique characteristics of AI systems, the OSAID offers a robust framework for fostering transparency, innovation and collaboration in AI development. As we navigate AI’s evolving landscape, it is crucial to engage thoughtfully and constructively with these definitions. 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https://dev.to/julienesn/i-built-an-ai-powered-portfolio-tracker-2oen | I built an AI-powered Portfolio Tracker - 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 Julien Posted on Dec 9, 2025 I built an AI-powered Portfolio Tracker # nextjs # react # opensource # showdev Hello devs! I've been tracking my investments in Excel for years, but manual entry was killing me. So I decided to build my own "Bloomberg Terminal" for personal finance. The Problem Most portfolio apps require you to connect your bank account (privacy risk) or enter every trade manually (boring). The Solution: AI Import I built a Smart Import engine using Next.js Server Actions. You can copy-paste ANYTHING into the input field: "Bought 10 AAPL yesterday" A messy CSV from your broker A JSON export The app uses an LLM (Llama 3 via Groq) to parse the text and fetch historical data + dividends via Yahoo Finance. The Stack I used this project to experiment with the latest tech: Framework: Next.js 16 (RC) & React 19 Styling: Tailwind CSS v4 Charts: Visx & Recharts Privacy: Data stored in LocalStorage or Self-hosted via Docker. Demo You can try the import feature here (no login required): https://portfolio-finance-tau.vercel.app/ Let me know if the AI manages to parse your messy Excel files! 👇 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 Julien Follow Joined Mar 2, 2023 Trending on DEV Community Hot AI should not be in Code Editors # programming # ai # productivity # discuss When React Starts Acting Like jQuery (and You Can Totally Tell 😅) # react # webdev # javascript # beginners The First Week at a Startup Taught Me More Than I Expected # startup # beginners # career # 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. 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https://dev.to/savagepixie/cool-object-methods-in-javascript-h9p | Cool Object methods in JavaScript - 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 SavagePixie Posted on Dec 4, 2019 Cool Object methods in JavaScript # javascript # devjournal # devtips Learning JavaScript (8 Part Series) 1 My New Friends filter() and map() 2 Destructuring Assignment in JavaScript ... 4 more parts... 3 Butchering Arrays (or not) with splice() and slice() 4 Lookaheads in Javascript 5 Wielding replace with all its power 6 Understanding reduce in JavaScript 7 An introduction to promises in JavaScript 8 Cool Object methods in JavaScript This is a compilation of a few Object methods that may come in handy. Object.assign Object.entries Object.freeze Object.fromEntries Object.is Object.assign This copies all enumerable own properties from one or more source objects to a target object. So we can use it to add specific properties or change their values by passing other objects to the method. If more than one object have the same key, it will always use the one that's passed last. It returns the target object. Syntax Object . assign ( target , ... sources ) target is the object onto which properties will be copied. sources are all the objects from which properties will be copied. Examples const pony = { colour : ' pink ' , species : ' unicorn ' , } Object . assign ( pony , { cutieMark : ' star ' }, { colour : ' pruple ' }) console . log ( pony ) //{ colour: 'purple', species: 'unicorn', cutieMark: 'star' } Object.assign can also be used to create new objects: const pony = { colour : ' pink ' , species : ' unicorn ' , } const newPony = Object . assign ({}, pony , { cutieMark : ' star ' }, { colour : ' pruple ' }) console . log ( pony ) //{ colour: 'pink', species: 'unicorn' } console . log ( newPony ) //{ colour: 'purple', species: 'unicorn', cutieMark: 'star' } Since arrays are objects, Object.assign also works on them: const array = [ 0 , 1 , 2 , 3 , 4 , 5 ] Object . assign ( array , { 1 : 3 , 3 : 1 }) console . log ( array ) //[ 0, 3, 2, 1, 4, 5 ] Object.entries This method returns an array of the object's own enumerable properties in [ key, value ] pairs. Syntax Object . entries ( object ) Example const pony = { colour : ' pink ' , cutieMark : ' star ' , species : ' unicorn ' , } const arrayedPony = Object . entries ( pony ) console . log ( arrayedPony ) //[[ 'colour', 'pink' ], [ 'cutieMark', 'star'], [ 'species', 'unicorn' ]] Note Object.keys and Object.values function similarly but only return keys and values respectively. Object.freeze This one keeps an object from being changed at all. After freezing it, you can't add properties, remove them or change their value. It returns the same object that was passed. Syntax Object . freeze ( object ) Example const pony = { colour : ' pink ' , species : ' unicorn ' , } Object . freeze ( pony ) Object . assign ( pony , { cutieMark : ' star ' }) //Throws error Object.fromEntries This method does the opposite of Object.entries . It takes an array of [ key, value ] pairs and turns them into an object. Syntax Object . fromEntries ( array ) Object.is This one compares two values and determines if they are the same value . This is different from the equality operator ( == ) in that it doesn't do any sort of type coercion. It is also different from the identity operator ( === ) in that it makes a difference between -0 and +0 and it treats NaN as equal to NaN and to Number.NaN . Syntax Object . is ( value1 , value2 ) Examples console . log ( NaN === NaN ) //false console . log ( Object . is ( NaN , NaN )) //true console . log ( Number . NaN === NaN ) //false console . log ( Object . is ( Number . NaN , NaN )) //true console . log ( NaN === + ' potato ' ) //false console . log ( Object . is ( NaN , + ' potato ' )) //true console . log ( + 0 === - 0 ) //true console . log ( Object . is ( + 0 , - 0 )) //false Two different objects will only be evaluated as true if they refer to the same object. const ponyA = { colour : ' pink ' , species : ' unicorn ' , } const ponyB = ponyA console . log ( Object . is ( ponyA , ponyB )) //true const ponyC = { colour : ' pink ' , species : ' unicorn ' , } console . log ( Object . is ( ponyA , ponyC )) //false //But we can still compare their properties' values: console . log ( Object . is ( ponyA . colour , ponyC . colour )) //true Learning JavaScript (8 Part Series) 1 My New Friends filter() and map() 2 Destructuring Assignment in JavaScript ... 4 more parts... 3 Butchering Arrays (or not) with splice() and slice() 4 Lookaheads in Javascript 5 Wielding replace with all its power 6 Understanding reduce in JavaScript 7 An introduction to promises in JavaScript 8 Cool Object methods in JavaScript Top comments (5) Subscribe Personal Trusted User Create template Templates let you quickly answer FAQs or store snippets for re-use. Submit Preview Dismiss Collapse Expand squigglybob squigglybob squigglybob Follow Location Brum Work Full Stack Developer at at home Joined May 24, 2019 • Dec 4 '19 Dropdown menu Copy link Hide Nice :0) I had heard of freeze recently. What would you do with the output of entries though? P.s. typo in the last eg should be const ponyB = ponyA Like comment: Like comment: 4 likes Like Comment button Reply Collapse Expand Jake Whelan Jake Whelan Jake Whelan Follow Location Ireland Work Principal Software Engineer Joined Dec 2, 2019 • Dec 4 '19 • Edited on Dec 4 • Edited Dropdown menu Copy link Hide entries and fromEntries are awesome because they allows you to use Array.prototype.filter, map, reduce with objects (and their keys too!) Use them to mutate and create objects from existing objects. For example: import { resolve } from ' path ' const paths = { home : ' ./src/home/* ' , settings : ' ./src/settings/* ' } const resolvedPaths = Object . entries ( paths ) . reduce (( acc , [ key , value ]) => { return { ... acc , [ key ]: resolve ( __dirname , path ) } }, {}) const normalisedPaths = Object . entries ( paths ) . reduce (( acc , [ key , value ]) => { return { ... acc , [ key ]: value . replace ( ' /* ' , '' ) } }, {}) const renamedPaths = Object . entries ( paths ) . reduce (( acc , [ key , value ]) => { return { ... acc , [ ` ${ key } Path` ]: value } }, {}) const pathsWithoutSettings = Object . entries ( paths ) . filter (([ key ]) => key !== ' settings ' ) . reduce (( acc , [ key , value ]) => { return { ... acc , [ key ]: value } }, {}) console . log ( resolvedPaths . home ) // C:/Users/jake/dev/my-project/src/home console . log ( normalisedPaths . home ) // ./src/home console . log ( renamedPaths . homePath ) // ./src/home/* console . log ( Object . keys ( pathsWithoutSettings )) // ['home'] and now thanks to fromEntries you can do the same without reduce : const paths = { home : ' ./src/home/* ' , settings : ' ./src/settings/* ' } const renamedPathEntries = Object . entries ( paths ) . map (([ key , value ]) => [ ` ${ key } Path` , value ]) const renamedPaths = Object . fromEntries ( renamedPathEntries ) Like comment: Like comment: 3 likes Like Comment button Reply Collapse Expand Avalander Avalander Avalander Follow "Biography is irrelevant" - Seven of nine (probably) if she was asked that question. Joined Mar 12, 2018 • Dec 4 '19 Dropdown menu Copy link Hide What would you do with the output of entries though? It's quite useful to convert objects to other formats, like query strings or SQL queries: const query { page : 3 , type : ' unicorn ' , } const toQueryString = query => ' ? ' + Object . entries ( query ) . map (([ key , value ]) => [ key , value ]. join ( ' = ' )) // Or .map(x => x.join('=')) . join ( ' & ' ) toQueryString ( query ) // '?page=3&type=unicorn' Like comment: Like comment: 3 likes Like Comment button Reply Collapse Expand squigglybob squigglybob squigglybob Follow Location Brum Work Full Stack Developer at at home Joined May 24, 2019 • Dec 4 '19 Dropdown menu Copy link Hide Yep, that's nice. Object.keys(obj) always bothered me as then you needed to grab the value from the obj with the index of the key, but this way you have it there when you map etc. Like comment: Like comment: 3 likes Like Comment button Reply Collapse Expand SavagePixie SavagePixie SavagePixie Follow Always learning new things. I love web development and coding in general. Joined Jul 23, 2019 • Dec 4 '19 • Edited on Dec 4 • Edited Dropdown menu Copy link Hide Typo fixed! Thanks for the heads-up! As for the output of entries, I think I shall refer to the others' replies :D Like comment: Like comment: 1 like Like Comment button Reply Code of Conduct • Report abuse Are you sure you want to hide this comment? It will become hidden in your post, but will still be visible via the comment's permalink . Hide child comments as well Confirm For further actions, you may consider blocking this person and/or reporting abuse SavagePixie Follow Always learning new things. I love web development and coding in general. Joined Jul 23, 2019 More from SavagePixie Best practices to authenticate with Passport.js # javascript # node # help # discuss Mutability and reassignability in JavaScript # beginners # javascript # tips Asteroid App: Project Submission # twiliohackathon # javascript # node 💎 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/juliankominovic/introducing-live-feedback-2cg8 | Introducing Live Feedback - 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 Julian Kominovic Posted on May 27, 2024 • Edited on Jun 10, 2024 Introducing Live Feedback # javascript # webdev # react # productivity Update: https://dev.to/juliankominovic/update-live-feedback-script-35oi Take a look at the demo video here . JulianKominovic / live-feedback Share development feedback with your team directly on the website. Live feedback Live feedback is a script you can inject on your site that allows you to get feedback on your website in real time from your developers, designers, and clients It is a simple and easy-to-use tool that helps you to improve your website by getting feedback from your team Integration is really simple. In a few steps you can get feedback on your website: Add Live Feedback script in your website Pass some mandatory properties to the script such as repo and owner Live Feedback is now enable on your website. You will see the Login button, click it. After giving Live Feedback access to your repositories you can start giving feedback. Demo 2024-05-26.22-08-24.mp4 Instructions Add script tag Add this script at the end of <body> tag. < script repo =" {your repo} " owner =" {repo owner} " async src =" https://cdn.jsdelivr.net/gh/JulianKominovic/live-feedback@latest/build/bundle.js " /> Enter fullscreen mode Exit fullscreen mode i.e: < script … Enter fullscreen mode Exit fullscreen mode View on GitHub Today I'm going to introduce a new Google Extension that I've been working on the past few weeks. Live feedback is an extension made for Google Chrome browser that allows you to get feedback on your website in real time from your developers, designers, and clients. It is a simple and easy-to-use tool that helps you to improve your website by getting feedback right on the page. The extension is designed to be simple and intuitive, so you can start using it right away without any training by following these simple steps . It's very similar to Vercel Comments , but it's open source and it's not tied to any specific platform, so you can use it everywhere, even on your local development environment. Disclaimer: The extension is under development and it's not ready for production yet. I'm still working on it and adding new features so you may encounter some bugs or issues while using it. Some major changes may happen in the future as well. If you have any feedback or suggestions, please let me know in the comments. What does it do? The extension allows you to select an element on the page and add a comment to it. When you submit the feedback, a screenshot is taken automatically, and the feedback is sent to whatever Github repository you have configured in the extension settings as an issue. You can then view the feedback on Github and discuss it with your team and you also can see the feedback directly on the page as a bubble. Anyone with access to the repository will see the feedback bubble and will be able to comment on it. This makes it easy to collaborate with your team and improve your website. Just make sure you both have the extension installed and configured with the same repository (since the extension uses Github Issues as a backend). In case you are reviewing a pull request, you can also link the issue to the pull request, so you can use this tool to review pull requests as well. How does it work? The extension injects a small script into the page you are viewing. A toolbar is displayed at the bottom of the page. Click on the toolbar + button to start adding feedback. Select an element on the page. Leave a comment. Submit the feedback. 2 screenshots are taken: one of the whole page and one of the selected element. They will be uploaded to your Github repository master branch inside .github/feedback folder. A new issue is created in your Github repository with the feedback and the screenshots attached. In the issue, you can see the feedback, the screenshots, and the comments. You can discuss the feedback with your team in the issue comments. Please DO NOT MODIFY the issue. The issue saves a lot of internal data that the extension uses to display the feedback. If you modify the issue, the extension will not be able to display the feedback correctly. How to install it? Follow these simple steps to install and configure the extension. Features Smart HTML Element tracking: Your feedback will be linked to the specific element on the page. Commenting: You can add comments to the feedback to provide more context. Screenshot: Screenshots are taken automatically when you submit feedback. No backend required: The extension uses Github Issues as a backend, so you don't need to set up a server. Open source: The extension is open source, so you can contribute to its development. Trusthworthy: The extension only requires the permissions it needs to work, and it doesn't collect any personal data. Any data collected is stored on your Github repository. You can see every request the extension makes in the network tab of the developer tools. Checklist I'm still working on the extension, and I plan to add more features in the future. If you have any feedback or suggestions, please let me know in the comments. You may encounter some bugs or issues while using the extension. If you do, please report them on the repository . Soon I will be adding a roadmap to the repository so you can see what features are planned and what features are already implemented in detail. As of now, the extension has the following features: [x] HTML Element tracking [x] CSS Selector system: list of selectors to find the element and kind of consensus criteria to find the element. [x] Typical display attributes: display, visibility, opacity, and pointer-events. [x] Feedback coordinates: x and y coordinates of the element and viewport scroll position. [] Efficient tracking: stop using polling and use MutationObserver instead. Although it's not a big deal since the extension is not running all the time and didn't have any performance issues. [] Lax URL matching: stop making a === comparison and use a more scoped comparison. [] Width and height recovery: recover width and height of the viewport of whoever submitted the feedback. [] Scroll position recovery: recover scroll position of the viewport of whoever submitted the feedback. [x] Feedback on element: clicking on an element. [x] Feedback on text selection: selecting text. [x] Toolbar [x] Toolbar position: bottom of the page. [x] Toolbar styles: simple and clean. [x] Draggable toolbar: drag the toolbar to any position on the page. [x] Toolbar features: [x] Add feedback button: add feedback on an element. [x] Add feedback on text selection button: add feedback on text selection. [x] Show async tasks semaphores: show the status of the async tasks. [] Close toolbar button: close the toolbar. [x] Async tasks status: show the status of the async tasks the extension is running. [x] Loading: when the extension is loading. [x] Success: when the extension has finished successfully. [x] Error: when the extension has finished with an error. [] Improve the status messages. [] Add a timeout to the async tasks. [] Add settings page [] Mentions [] When people mentioned me in the comments. [] When people mentioned me in the issue. [] Issues related to me. [] Threads [] Resolve threads. [] List all threads. [x] Commenting [x] Automatic screenshots [x] No backend required [x] Github integration [x] Create issue [x] Upload screenshots [x] Link issue to pull request [x] Get issue comments [x] Get repository visibility [] Mentions [] Get user mentions [] Get unread notifications 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 Julian Kominovic Follow Software engineer at @Koin Location Argentina, Buenos Aires Education National University of Lanus Work Software engineer at Koin Joined Aug 16, 2021 More from Julian Kominovic Beatiful anime AI generated wallpapers up to 8K # javascript # go # ai # showdev Update: Live Feedback script # webdev # javascript # react # productivity Portfolio rebuilt. # javascript # html # css # portfolio 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV DEV Community — A space to discuss and keep up software development and manage your software career Home DEV++ Podcasts Videos DEV Education Tracks DEV Challenges DEV Help Advertise on DEV DEV Showcase About Contact Free Postgres Database Software comparisons Forem Shop Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. 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https://dev.to/page/kendoreact-challenge-2025-09-10-contest-rules | KendoReact Free Components Challenge Contest Rules - DEV Community Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. 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A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account DEV Community Close KendoReact Free Components Challenge Contest Rules Contest Announcement KendoReact Free Components Challenge Sponsored by Progress Software Corporation (" Sponsor ") NO ENTRY FEE. NO PURCHASE NECESSARY TO ENTER OR WIN. VOID WHERE PROHIBITED. We urge you to carefully read the terms and conditions of this Contest Landing Page located here and the DEV Community Inc. General Contest Official Rules located here ("Official Rules"), incorporated herein by reference. The following contest specific details on this Contest Announcement Page, together with the Official Rules , govern your participation in the named contest defined below (the "Contest"). Sponsor does not claim ownership rights in your Entry. The Official Rules describe the rights you give to Sponsor by submitting an Entry to participate in the named Contest. In the event of a conflict between the terms of this Contest Announcement Page and the Official Rules, the Official Rules will govern and control. Contest Name : KendoReact Free Components Challenge Entry Period : The Contest begins on September 10, 2025 at 9:00 AM PDT and ends on September 28, 2025 at 11:59 PM PDT (the " Entry Period ") How to Enter : All entries must be submitted no later than the end of the Entry Period. You may enter the Contest during the Entry Period as follows: Visit the Contest webpage part of the DEV Community Site located here (the " Contest Page "); and Follow any instructions on the Contest Page and submit your completed entry (each an " Entry "). There is no limit on the number of Entries you may submit during the Entry Period. Required Elements for Entries : Without limiting any terms of the Official Rules, each Entry must include, at a minimum, the following elements: A published submission post on DEV that provides an overview of the app using the submission template provided on the Contest Page. Use of at least 10 free KendoReact UI components in the project. Judging Criteria : All qualified entries will be judged by a panel as selected by Sponsor as set forth in the Official Rules. Judges will award winners based on the following criteria: Use of underlying technology Usability and User Experience Accessibility Creativity In the event of a tie in scoring between judges, the judges will select the entry that received the highest number of positive reactions on their DEV post to determine the winner. In the event that a participant may win multiple prize categories, and the submissions are a tie, we will favor the participant that has not already won a prize category. Prize(s) : The prizes to be awarded from the Contest are as follows: Each winner (3) will receive: $1,000 USD Exclusive DEV Badge DEV++ Membership Participant Winner (who submits a valid and qualified entry) will receive: A completion badge on their DEV profile 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV DEV Community — A space to discuss and keep up software development and manage your software career Home DEV++ Podcasts Videos DEV Education Tracks DEV Challenges DEV Help Advertise on DEV DEV Showcase About Contact Free Postgres Database Software comparisons Forem Shop Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails . DEV Community © 2016 - 2026. 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https://archiveprogram.github.com/ | GitHub Archive Program | Preserving open source software for future generations skip to content Return to homepage Return to homepage Our Approach Greatest Hits Arctic Vault Partners Press Preserving open source software for future generations The world is powered by open source software. 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M1009.3,123.6c0,0.4-0.1,0.7-0.4,0.9c-0.3,0.3-0.6,0.4-0.9,0.4c-0.4,0-0.7-0.1-0.9-0.4c-0.2-0.3-0.4-0.6-0.4-0.9 c0-0.4,0.1-0.7,0.4-0.9c0.3-0.3,0.6-0.4,0.9-0.4c0.4,0,0.7,0.1,0.9,0.4C1009.2,122.9,1009.3,123.2,1009.3,123.6z M1015.9,123.6 c0,0.4-0.1,0.7-0.4,0.9c-0.3,0.3-0.6,0.4-0.9,0.4c-0.4,0-0.7-0.1-0.9-0.4c-0.3-0.3-0.4-0.6-0.4-0.9c0-0.4,0.1-0.7,0.4-0.9 c0.3-0.3,0.6-0.4,0.9-0.4c0.4,0,0.7,0.1,0.9,0.4C1015.8,122.9,1015.9,123.2,1015.9,123.6z M1022.5,123.6c0,0.4-0.1,0.7-0.4,0.9 c-0.3,0.3-0.6,0.4-0.9,0.4c-0.4,0-0.7-0.1-0.9-0.4c-0.3-0 | 2026-01-13T08:49:39 |
https://opensource.org/ai/faq#what-is-a-skilled-person | OSAID FAQs – Open Source Initiative Skip to content Get involved About Licenses Open Source Definition Open Source AI Programs Blog Get involved About Licenses Open Source Definition Open Source AI Programs Blog Open Source AI Open Source AI OSAID 1.0 Process Timeline Open Weights FAQ Endorsements Open Main Menu THE open source ai definition 1.0 We have released the first stable version of the Definition. Read version 1.0 Answers to Frequently Asked Questions The Open Source AI Definition (OSAID) represents an important first step in defining Open Source in an AI context. Because AI systems differ fundamentally from traditional software, the OSAID seeks to establish the first set of clear, practical guidelines for development, use and modification of AI systems in keeping with the Open Source ethos. Unfortunately, misconceptions about the definition persist, often stemming from a lack of understanding of the nature of AI. This post aims to clarify key points and provide a forward-looking perspective on the importance of the OSAID. THE open source ai definition 1.0 FAQs What Is an AI System? What is an Open Source AI? Why did you write the Open Source AI Definition? What’s the difference between the Open Source Definition and the Open Source AI Definition? Isn’t training data required to program the AI system? What is the role of training data in the Open Source AI Definition? Why do you allow the exclusion of some training data? How did you arrive at this conclusion? Is it compromising Open Source ideals? What kind of data should be required in the Open Source AI Definition? How do you fix a buggy AI system? What is a skilled person? Is the Open Source AI Definition covering models and weights and parameters? Why do you require training code while OSD #2 doesn’t require compilers? Why is there no mention of safety and risk limitations in the Open Source AI Definition? Are model parameters copyrightable? Why will parameters be available under “OSI-approved terms” but the code will be under “OSI-approved licenses”? Are you going to allow restrictions on the terms for models? Why is the “Preferred form to make modifications” limited to machine learning? Which AI systems comply with the Open Source AI Definition? What’s the next step? FAQs What Is an AI System? According to the OSAID, an AI system aligns with the definition provided by the Organisation for Economic Co-operation and Development (OECD): An AI system is a machine-based system that, for explicit or implicit objectives, infers, from the input it receives, how to generate outputs such as predictions, content, recommendations, or decisions that can influence physical or virtual environments. Different AI systems vary in their levels of autonomy and adaptiveness after deployment. In simple terms, an AI system is “the thing” that processes input to produce output, whether that’s a prediction, recommendation, or another result. Anchoring discussions in such common definitions is essential because AI systems differ radically from traditional software. What is an Open Source AI? An Open Source AI is an AI system made freely available with all necessary code, data and parameters under legal terms approved by the Open Source Initiative. For more details, read below. Why did you write the Open Source AI Definition? Point #2 of the Open Source Definition (OSD) says “The program must include source code […] The source code must be the preferred form in which a programmer would modify the program […]” . When we embarked on this initiative, nobody had a clear answer to the question, “What is the preferred form to modify an AI system?” So OSI offered to find the answer along with the broader community by engaging in a co-design process . What’s the difference between the Open Source Definition and the Open Source AI Definition? The Open Source Definition (OSD) refers to software programs. AI and specifically machine learning systems are not simply software programs; they blend boundaries with data, configuration options, documentation and new artifacts, like weights and biases. The Open Source AI Definition describes the preferred form to modify an AI system, providing clarity on interpreting the principles of the OSD in the domain of AI. Isn’t training data required to program the AI system? A frequent misunderstanding about AI systems is equating training data with source code, suggesting that “training data is how the model gets programmed.” Unlike traditional software, AI systems are not programmed in the conventional sense. Instead, they acquire capabilities autonomously during the training process — a phenomenon distinguishing them from software like the Linux kernel. For example, the Linux kernel is: Programmed by humans. Composed of source code that developers can read, study, and modify. Reproducible, meaning its binary form can be reliably rebuilt from its source code. In contrast, modern AI systems such as large language models develop their behavior in ways that are often unpredictable and inexplicable. Training processes are challenging to replicate reliably, even by the system’s creators. These differences necessitated the establishment of a unique definition beyond the Open Source Definition for software. What is the role of training data in the Open Source AI Definition? Open Source means giving anyone the ability to meaningfully fork (study and modify) your system without requiring additional permissions to make it more useful for themselves and everyone else. This is why point #2 of the OSD requires that the source code be provided in the preferred form for making modifications. This way, everyone has the same rights and ability to fork as the original developers, starting a virtuous innovation cycle. However, training data does not equate to a software source code. Training data is important for studying modern machine learning systems. However, it is not what AI researchers and practitioners necessarily use as part of the preferred form for modifying a trained model. The Data Information and Code requirements of the OSAID allow Open Source AI systems to be forked by third-party AI builders downstream using the same information as the original developers. These forks could include removing nonpublic or non-open data from the training dataset in order to train a new Open Source AI system on fully public or open data. Why do you allow the exclusion of some training data? We want Open Source AI to exist in fields where data cannot be legally shared, such as medical AI. Laws that permit training on data often limit the resharing of that same data to protect copyright or other interests. Privacy rules also give people the right to control their most sensitive information, like decisions about their health. Similarly, much of the world’s Indigenous knowledge is protected through mechanisms that are not compatible with later-developed frameworks for rights exclusivity and sharing. There are also many cases where terms of use of publicly available data may give entity A the confidence that they may use it freely and call it “open data,” but not give entity A the confidence they can, in turn, give entity B the same guarantees for use in a different jurisdiction. Meanwhile, entity B may not feel confident using that data in their own jurisdiction. An example is so-called public domain data, where the definition of public domain varies from country to country. Another example is fair-use or private data, where the finding of fair use or privacy laws may require a good knowledge of the law of a given jurisdiction. This resharing is not so much limited as lacking legal certainty . How did you arrive at this conclusion? Is it compromising Open Source ideals? During our co-design process, relationships between the weights and the data drove the highest community engagement. In the “System analysis” phase , the volunteer groups suggested that training and data processing codes were more important for modifying the AI system than accessing the training and testing data. That result was validated in the “Validation phase” and suggested a path that allows Open Source AI to exist on equal grounds with proprietary systems: both can train on the same kind of data. Some people believe that full, unfettered access to all training data (with no distinction of its kind) is paramount, arguing that anything less would compromise the full reproducibility of AI systems, transparency and security. This approach would relegate Open Source AI to a niche of AI trainable only on open data. That niche would be tiny, even relative to the niche occupied by Open Source in the traditional software ecosystem. The requirements of Data Information keep the same approach present in the Open Source Definition; it doesn’t mandate full reproducibility and transparency but enables them (i.e., reproducible builds ). At the same time, setting a baseline requiring Data Information doesn’t preclude others from formulating and demanding more requirements, like the Digital Public Goods Standard or the Free Systems Distribution Guidelines , which add requirements to the Open Source Definition. One of the key aspects of OSI’s mission is to drive and promote Open Source innovation. The approach OSI takes here enables complete user choice with Open Source AI. Users can keep the insights derived from training+data preprocessing code and a description of unshareable training data and build upon those with their own unshareable data and give the insights derived from further training to everyone, allowing for Open Source AI in areas like health care. Alternatively, users can obtain the available and public data from the Data Information and retrain their model without any unshareable data, resulting in more data transparency in the AI system. Like copyleft and permissive licensing, this approach leaves the choice with the user. What kind of data should be required in the Open Source AI Definition? A significant challenge in AI is the role of data. Unlike traditional software, where source code is the primary artifact, AI systems depend heavily on data — not just any data, but data processed and curated into training datasets. The OSAID recognizes the legal and ethical complexities of data sharing and uses precise legal terms to outline expectations. While not all raw data can be freely distributed, the Definition ensures that the essential elements for modifying an AI system are accessible. There are four classes of data, based on their legal constraints, all of which can be used to train Open Source AI systems: Open training data: data that can be copied, preserved, modified and reshared. It provides the best way to enable users to study the system. This must be shared. Public training data: data that others can inspect as long as it remains available. This also enables users to study the work. However, this data can degrade as links or references are lost or removed from network availability. To obviate this, different communities will have to work together to define standards, procedures, tools and governance models to overcome this risk, and Data Information is required in case the data becomes later unavailable. This must be disclosed with full details on where to obtain it. Obtainable training data is data that can be obtained, including for a fee. This information provides transparency and is similar to a purchasable component in an open hardware system. The Data Information provides a means of understanding this data other than obtaining or purchasing it. This area is likely to change rapidly and will need careful monitoring to protect Open Source AI developers. It must be disclosed with full details on where to obtain it. Unshareable nonpublic training data: data that cannot be shared for explainable reasons, like Personally Identifiable Information (PII). For this class of data, the ability to study some of the system’s biases demands a detailed description of the data – what it is, how it was collected, its characteristics, and so on – so that users can understand the biases and categorization underlying the system. This must be revealed in detail so that, for example, a hospital can create a dataset with identical structure using its own patient data. OSI believes that all these classes of data can be part of the preferred form of making modifications to the AI system. This approach both advances openness in all the components of the AI system and drives more Open Source AI, including private-first areas such as health care. How do you fix a buggy AI system? A core question the OSAID addresses is: How do you fix a buggy AI system? For traditional software, the Open Source Definition provides a clear answer: The program must include source code, and must allow distribution in source code as well as compiled form. The source code must be the preferred form in which a programmer would modify the program. However, modifying an AI system requires more than just source code. After extensive consultation with AI developers, researchers and practitioners, the community, through the OSAID co-design process, concluded that the preferred form for modifying an AI system includes: The software used to create the dataset (i.e., to transform raw data into tokens). The software used to train the system. The results of the training (i.e., the parameters). All legally shareable data used in the training process. These components collectively enable the study, use, modification and sharing of AI systems in a manner consistent with Open Source principles. What is a skilled person? In legal circles, Skilled Person means any person having the current knowledge, experience and competence to perform a certain duty. This Wikipedia entry provides more details. Is the Open Source AI Definition covering models and weights and parameters? Yes. The Open Source AI Definition makes no distinction between what might be called AI system, model, or weights and parameters. Whether the offering is characterized as an AI system, a model, or weights and parameters, to be called Open Source AI, the requirements for providing the preferred form for making modifications will be the same. If you are interested in learning more about Open Weights, please read this article. Why do you require training code while OSD #2 doesn’t require compilers? AI and software are radically different domains, and drawing comparisons between them is rarely productive. OSD point #2 doesn’t mandate that Open Source software uses only compilers released with an OSI-Approved License because compilers are standardized, de jure (like ANSI C) or de facto like TurboPascal or Python. It was generally accepted that to develop more Open Source software one could use a proprietary development environment. For machine learning, the training code is not standardized, and therefore it must be part of the preferred form of making modifications to preserve the right to fork an AI system. Why is there no mention of safety and risk limitations in the Open Source AI Definition? The Open Source AI Definition does not specifically guide or enforce ethical, trustworthy, or responsible AI development practices. However, it does not put up any barriers that would prevent developers from adhering to such principles if they chose to. The efforts to discuss the responsible development, deployment and use of AI systems, including through appropriate government regulation, are a separate conversation. A good starting point is OECD’s Recommendation of the Council on Artificial Intelligence, Section 1: Principles for responsible stewardship of trustworthy AI . Are model parameters copyrightable? The Open Source AI Definition does not take a stance on the legal nature of Parameters. They may be free by nature, or a license or other legal instrument may be required to ensure their freedom. Whether model parameters are copyrightable will become clearer over time as the legal system has more opportunities to address this issue. In any case, we require an explicit assertion accompanying the distribution of Parameters that assures that they are freely available to all. Why will parameters be available under “OSI-approved terms” but the code will be under “OSI-approved licenses”? Are you going to allow restrictions on the terms for models? We used the word “terms” instead of “license” for models because, as mentioned above, we do not yet know what the legal mechanism will be to assure that the models are available to use, study, modify and share. We used “terms” to avoid suggesting that a “license” is the only legal mechanism that could be used. That said, to be approved by the OSI, the terms for parameters must assure the freedom to use, study, modify and share. Why is the “Preferred form to make modifications” limited to machine learning? The principles stated in the Open Source AI Definition are generally applicable to any kind of AI, but machine learning challenges the Open Source Definition. For machine learning, a set of artifacts (components) is required to study and modify the system, thus requiring a new explanation of what is necessary to study and modify the system. Which AI systems comply with the Open Source AI Definition? As part of our validation and testing of the OSAID, the volunteers checked whether the Definition could be used to evaluate if AI systems provided the freedoms expected. The list of models that passed the Validation phase are: Pythia (Eleuther AI), OLMo (AI2), Amber and CrystalCoder (LLM360), and T5 (Google). A few others that were analyzed would probably pass if they changed their licenses/legal terms, for example, BLOOM (BigScience), Starcoder2 (BigCode), and Falcon (TII). Those that have been analyzed and don’t pass because they lack required components and/or their legal agreements are incompatible with the Open Source principles include Llama2 (Meta), Grok (X/Twitter), Phi-2 (Microsoft), and Mixtral (Mistral). These results should be seen as part of the definitional process, a learning moment; they are not certifications of any kind. OSI will continue to validate only legal documents and will not validate or review individual AI systems, just as it does not validate or review software projects. What’s the next step? The Open Source AI Definition reflects a thoughtful and inclusive process endorsed by leading AI developers, researchers and practitioners. It culminates in a first step represented in version 1.0 of the OSAID. The definition acknowledges that AI fundamentally differs from software and requires a tailored approach. Misunderstandings about the OSAID often arise from attempts to apply software engineering paradigms to AI, leading to confusion. By embracing the unique characteristics of AI systems, the OSAID offers a robust framework for fostering transparency, innovation and collaboration in AI development. As we navigate AI’s evolving landscape, it is crucial to engage thoughtfully and constructively with these definitions. By doing so, we can ensure that AI systems remain open, accessible and aligned with the principles of the broader Open Source movement. Our work is only possible thanks to our members. Join us today! 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https://dev.to/ilyarah | ilya rahnavard - DEV Community Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. DUMB DEV Community Follow Memes and software development shitposting Design Community Follow Web design, graphic design and everything in-between Security Forem Follow Your central hub for all things security. From ethical hacking and CTFs to GRC and career development, for beginners and pros alike Golf Forem Follow A community of golfers and golfing enthusiasts Crypto Forem Follow A collaborative community for all things Crypto—from Bitcoin to protocol development and DeFi to NFTs and market analysis. Parenting Follow A place for parents to the share the joys, challenges, and wisdom that come from raising kids. We're here for them and for each other. Forem Core Follow Discussing the core forem open source software project — features, bugs, performance, self-hosting. Maker Forem Follow A community for makers, hobbyists, and professionals to discuss Arduino, Raspberry Pi, 3D printing, and much more. HMPL.js Forem Follow For developers using HMPL.js to build fast, lightweight web apps. A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account DEV Community Close Follow User actions ilya rahnavard Self-taught full-stack blockchain Firestarter — wired for Solana, TON, Fantom(Sonic), and Ethereum L2s. I ship, I write, I share Joined Joined on Dec 25, 2025 github website twitter website More info about @ilyarah Badges Writing Debut Awarded for writing and sharing your first DEV post! Continue sharing your work to earn the 4 Week Writing Streak Badge. Got it Close Post 4 posts published Comment 0 comments written Tag 14 tags followed Pin Pinned Supercharge Prediction Markets Liquidity on Sonic with Flying Tulip: The Leverage Flywheel Developers Need in 2026 ilya rahnavard ilya rahnavard ilya rahnavard Follow Jan 5 Supercharge Prediction Markets Liquidity on Sonic with Flying Tulip: The Leverage Flywheel Developers Need in 2026 # fullstack # programming # blockchain # web3 Comments Add Comment 3 min read Flay the Fantasy: How I Stopped Betting My Future on Every Line of Code (And Started Shipping Like Crazy in 2026) ilya rahnavard ilya rahnavard ilya rahnavard Follow Jan 4 Flay the Fantasy: How I Stopped Betting My Future on Every Line of Code (And Started Shipping Like Crazy in 2026) # devchallenge # productivity # midnightchallenge # career Comments Add Comment 3 min read How I Built the Fastest TON Memecoin Sniper Alert Bot (Golden-Memecoin-Alert) ilya rahnavard ilya rahnavard ilya rahnavard Follow Jan 2 How I Built the Fastest TON Memecoin Sniper Alert Bot (Golden-Memecoin-Alert) # webdev # python # blockchain # web3 Comments Add Comment 2 min read I Built a Maze Runner Simulation Where Teenage Sam Altman Survives the Glade December 25, 2025 ilya rahnavard ilya rahnavard ilya rahnavard Follow Dec 25 '25 I Built a Maze Runner Simulation Where Teenage Sam Altman Survives the Glade December 25, 2025 # gamedev # python # simulation 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. We're a place where coders share, stay up-to-date and grow their careers. Log in Create account | 2026-01-13T08:49:39 |
https://dev.to/hasmcp-dev/opensource-no-code-mcp-builder-from-api-endpoints-with-built-in-log-tracer-1ei2 | Opensource No-Code MCP Builder from API Endpoints with Built-in Log Tracer - 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 HasMCP Posted on Dec 30, 2025 Opensource No-Code MCP Builder from API Endpoints with Built-in Log Tracer # opensource # api # mcp # llm As a developer, was exploring the idea of using endpoints with LLMs to unlock capabilities that I can not develop myself without having a proper user interface. This is how I met with MCP but the problem didn't go away and got worse over time because the MCP protocol was so early and as usual it was not stable. The tools is/was broken to create one properly with the latest spec to unlock the capabilities seamlessly. Now I am sharing the opensource version of the HasMCP. This is for hackers who don't want to spend time on maintaining the libraries or maintaining new endpoints on top of the existing endpoints in the same server. Log tracing: This was a must-have feature to check what is going on a live MCP Server. What is coming/going from MCP Server as owner of the MCP Server is your right. Do not let dark calls to your tools. Source code is available at Github: https://github.com/hasmcp/hasmcp-ce Built-with Go lang, Vue and love. 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 HasMCP Follow Location San Francisco, CA Work Contextual, Inc. Joined Dec 6, 2025 More from HasMCP Convert your API endpoints to MCP Server in Seconds # ai # mcp # rag # llm 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV DEV Community — A space to discuss and keep up software development and manage your software career Home DEV++ Podcasts Videos DEV Education Tracks DEV Challenges DEV Help Advertise on DEV DEV Showcase About Contact Free Postgres Database Software comparisons Forem Shop Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. 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 | 2026-01-13T08:49:39 |
https://vibe.forem.com/anthony_lee_63e96408d7573 | Anthony Lee - Vibe Coding 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 Vibe Coding Forem Close Follow User actions Anthony Lee 404 bio not found Joined Joined on Nov 11, 2025 More info about @anthony_lee_63e96408d7573 Badges Writing Debut Awarded for writing and sharing your first DEV post! Continue sharing your work to earn the 4 Week Writing Streak Badge. Got it Close Post 3 posts published Comment 1 comment written Tag 0 tags followed Context Mesh Lite: Hybrid Vector Search + SQL Search + Graph Search Fused (for Super Accurate RAG) Anthony Lee Anthony Lee Anthony Lee Follow Dec 23 '25 Context Mesh Lite: Hybrid Vector Search + SQL Search + Graph Search Fused (for Super Accurate RAG) # gemini # serverless # database # ai 1 reaction Comments Add Comment 64 min read Want to connect with Anthony Lee? Create an account to connect with Anthony Lee. You can also sign in below to proceed if you already have an account. Create Account Already have an account? Sign in Beyond Basic RAG: 3 Advanced Architectures I Built to Fix AI Retrieval Anthony Lee Anthony Lee Anthony Lee Follow Dec 7 '25 Beyond Basic RAG: 3 Advanced Architectures I Built to Fix AI Retrieval # ai # database # rag 1 reaction Comments Add Comment 4 min read How I Created Superior RAG Retrieval With 3 Files in Supabase Anthony Lee Anthony Lee Anthony Lee Follow Nov 12 '25 How I Created Superior RAG Retrieval With 3 Files in Supabase # ai # rag # supabase # database 8 reactions Comments Add Comment 8 min read loading... 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV Vibe Coding Forem — Discussing AI software development, and showing off what we're building. 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 . Vibe Coding Forem © 2025 - 2026. Where anyone can code, with a bit of creativity and some AI help. Log in Create account | 2026-01-13T08:49:39 |
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https://dev.to/camptocamp-odoo | Camptocamp Business Solutions - DEV Community Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. DUMB DEV Community Follow Memes and software development shitposting Design Community Follow Web design, graphic design and everything in-between Security Forem Follow Your central hub for all things security. From ethical hacking and CTFs to GRC and career development, for beginners and pros alike Golf Forem Follow A community of golfers and golfing enthusiasts Crypto Forem Follow A collaborative community for all things Crypto—from Bitcoin to protocol development and DeFi to NFTs and market analysis. Parenting Follow A place for parents to the share the joys, challenges, and wisdom that come from raising kids. We're here for them and for each other. Forem Core Follow Discussing the core forem open source software project — features, bugs, performance, self-hosting. Maker Forem Follow A community for makers, hobbyists, and professionals to discuss Arduino, Raspberry Pi, 3D printing, and much more. HMPL.js Forem Follow For developers using HMPL.js to build fast, lightweight web apps. A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account DEV Community Close Follow Organization actions Camptocamp Business Solutions When efficiency matters, we help our customers to digitize and optimize their processes. → Odoo Sales Management → Odoo Project Management → Odoo Operations & Logistics → Odoo Finance Accounting → Odoo SmartCamp → Odoo WMS Location Lausanne, Switzerland Joined Joined on Apr 27, 2021 Twitter logo GitHub logo External link icon Support email info@camptocamp.com Meet the team Post 2 posts published Member 4 members oca-port: new OCA tool to help with modules migration Sébastien Alix Sébastien Alix Sébastien Alix Follow Aug 15 '22 oca-port: new OCA tool to help with modules migration # odoo # oca # github # git 7 reactions Comments Add Comment 3 min read Odoo: Customizing the values when timesheeting Damien Crier Damien Crier Damien Crier Follow Mar 9 '22 Odoo: Customizing the values when timesheeting # odoo # widget # tips # camptocamp 12 reactions Comments 2 comments 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. 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 | 2026-01-13T08:49:39 |
https://archiveprogram.github.com#content | GitHub Archive Program | Preserving open source software for future generations skip to content Return to homepage Return to homepage Our Approach Greatest Hits Arctic Vault Partners Press Preserving open source software for future generations The world is powered by open source software. 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M1009.3,123.6c0,0.4-0.1,0.7-0.4,0.9c-0.3,0.3-0.6,0.4-0.9,0.4c-0.4,0-0.7-0.1-0.9-0.4c-0.2-0.3-0.4-0.6-0.4-0.9 c0-0.4,0.1-0.7,0.4-0.9c0.3-0.3,0.6-0.4,0.9-0.4c0.4,0,0.7,0.1,0.9,0.4C1009.2,122.9,1009.3,123.2,1009.3,123.6z M1015.9,123.6 c0,0.4-0.1,0.7-0.4,0.9c-0.3,0.3-0.6,0.4-0.9,0.4c-0.4,0-0.7-0.1-0.9-0.4c-0.3-0.3-0.4-0.6-0.4-0.9c0-0.4,0.1-0.7,0.4-0.9 c0.3-0.3,0.6-0.4,0.9-0.4c0.4,0,0.7,0.1,0.9,0.4C1015.8,122.9,1015.9,123.2,1015.9,123.6z M1022.5,123.6c0,0.4-0.1,0.7-0.4,0.9 c-0.3,0.3-0.6,0.4-0.9,0.4c-0.4,0-0.7-0.1-0.9-0.4c-0.3-0 | 2026-01-13T08:49:39 |
https://opensource.org/ai/faq#why-did-you-write-the-open-source-ai-definition | OSAID FAQs – Open Source Initiative Skip to content Get involved About Licenses Open Source Definition Open Source AI Programs Blog Get involved About Licenses Open Source Definition Open Source AI Programs Blog Open Source AI Open Source AI OSAID 1.0 Process Timeline Open Weights FAQ Endorsements Open Main Menu THE open source ai definition 1.0 We have released the first stable version of the Definition. Read version 1.0 Answers to Frequently Asked Questions The Open Source AI Definition (OSAID) represents an important first step in defining Open Source in an AI context. Because AI systems differ fundamentally from traditional software, the OSAID seeks to establish the first set of clear, practical guidelines for development, use and modification of AI systems in keeping with the Open Source ethos. Unfortunately, misconceptions about the definition persist, often stemming from a lack of understanding of the nature of AI. This post aims to clarify key points and provide a forward-looking perspective on the importance of the OSAID. THE open source ai definition 1.0 FAQs What Is an AI System? What is an Open Source AI? Why did you write the Open Source AI Definition? What’s the difference between the Open Source Definition and the Open Source AI Definition? Isn’t training data required to program the AI system? What is the role of training data in the Open Source AI Definition? Why do you allow the exclusion of some training data? How did you arrive at this conclusion? Is it compromising Open Source ideals? What kind of data should be required in the Open Source AI Definition? How do you fix a buggy AI system? What is a skilled person? Is the Open Source AI Definition covering models and weights and parameters? Why do you require training code while OSD #2 doesn’t require compilers? Why is there no mention of safety and risk limitations in the Open Source AI Definition? Are model parameters copyrightable? Why will parameters be available under “OSI-approved terms” but the code will be under “OSI-approved licenses”? Are you going to allow restrictions on the terms for models? Why is the “Preferred form to make modifications” limited to machine learning? Which AI systems comply with the Open Source AI Definition? What’s the next step? FAQs What Is an AI System? According to the OSAID, an AI system aligns with the definition provided by the Organisation for Economic Co-operation and Development (OECD): An AI system is a machine-based system that, for explicit or implicit objectives, infers, from the input it receives, how to generate outputs such as predictions, content, recommendations, or decisions that can influence physical or virtual environments. Different AI systems vary in their levels of autonomy and adaptiveness after deployment. In simple terms, an AI system is “the thing” that processes input to produce output, whether that’s a prediction, recommendation, or another result. Anchoring discussions in such common definitions is essential because AI systems differ radically from traditional software. What is an Open Source AI? An Open Source AI is an AI system made freely available with all necessary code, data and parameters under legal terms approved by the Open Source Initiative. For more details, read below. Why did you write the Open Source AI Definition? Point #2 of the Open Source Definition (OSD) says “The program must include source code […] The source code must be the preferred form in which a programmer would modify the program […]” . When we embarked on this initiative, nobody had a clear answer to the question, “What is the preferred form to modify an AI system?” So OSI offered to find the answer along with the broader community by engaging in a co-design process . What’s the difference between the Open Source Definition and the Open Source AI Definition? The Open Source Definition (OSD) refers to software programs. AI and specifically machine learning systems are not simply software programs; they blend boundaries with data, configuration options, documentation and new artifacts, like weights and biases. The Open Source AI Definition describes the preferred form to modify an AI system, providing clarity on interpreting the principles of the OSD in the domain of AI. Isn’t training data required to program the AI system? A frequent misunderstanding about AI systems is equating training data with source code, suggesting that “training data is how the model gets programmed.” Unlike traditional software, AI systems are not programmed in the conventional sense. Instead, they acquire capabilities autonomously during the training process — a phenomenon distinguishing them from software like the Linux kernel. For example, the Linux kernel is: Programmed by humans. Composed of source code that developers can read, study, and modify. Reproducible, meaning its binary form can be reliably rebuilt from its source code. In contrast, modern AI systems such as large language models develop their behavior in ways that are often unpredictable and inexplicable. Training processes are challenging to replicate reliably, even by the system’s creators. These differences necessitated the establishment of a unique definition beyond the Open Source Definition for software. What is the role of training data in the Open Source AI Definition? Open Source means giving anyone the ability to meaningfully fork (study and modify) your system without requiring additional permissions to make it more useful for themselves and everyone else. This is why point #2 of the OSD requires that the source code be provided in the preferred form for making modifications. This way, everyone has the same rights and ability to fork as the original developers, starting a virtuous innovation cycle. However, training data does not equate to a software source code. Training data is important for studying modern machine learning systems. However, it is not what AI researchers and practitioners necessarily use as part of the preferred form for modifying a trained model. The Data Information and Code requirements of the OSAID allow Open Source AI systems to be forked by third-party AI builders downstream using the same information as the original developers. These forks could include removing nonpublic or non-open data from the training dataset in order to train a new Open Source AI system on fully public or open data. Why do you allow the exclusion of some training data? We want Open Source AI to exist in fields where data cannot be legally shared, such as medical AI. Laws that permit training on data often limit the resharing of that same data to protect copyright or other interests. Privacy rules also give people the right to control their most sensitive information, like decisions about their health. Similarly, much of the world’s Indigenous knowledge is protected through mechanisms that are not compatible with later-developed frameworks for rights exclusivity and sharing. There are also many cases where terms of use of publicly available data may give entity A the confidence that they may use it freely and call it “open data,” but not give entity A the confidence they can, in turn, give entity B the same guarantees for use in a different jurisdiction. Meanwhile, entity B may not feel confident using that data in their own jurisdiction. An example is so-called public domain data, where the definition of public domain varies from country to country. Another example is fair-use or private data, where the finding of fair use or privacy laws may require a good knowledge of the law of a given jurisdiction. This resharing is not so much limited as lacking legal certainty . How did you arrive at this conclusion? Is it compromising Open Source ideals? During our co-design process, relationships between the weights and the data drove the highest community engagement. In the “System analysis” phase , the volunteer groups suggested that training and data processing codes were more important for modifying the AI system than accessing the training and testing data. That result was validated in the “Validation phase” and suggested a path that allows Open Source AI to exist on equal grounds with proprietary systems: both can train on the same kind of data. Some people believe that full, unfettered access to all training data (with no distinction of its kind) is paramount, arguing that anything less would compromise the full reproducibility of AI systems, transparency and security. This approach would relegate Open Source AI to a niche of AI trainable only on open data. That niche would be tiny, even relative to the niche occupied by Open Source in the traditional software ecosystem. The requirements of Data Information keep the same approach present in the Open Source Definition; it doesn’t mandate full reproducibility and transparency but enables them (i.e., reproducible builds ). At the same time, setting a baseline requiring Data Information doesn’t preclude others from formulating and demanding more requirements, like the Digital Public Goods Standard or the Free Systems Distribution Guidelines , which add requirements to the Open Source Definition. One of the key aspects of OSI’s mission is to drive and promote Open Source innovation. The approach OSI takes here enables complete user choice with Open Source AI. Users can keep the insights derived from training+data preprocessing code and a description of unshareable training data and build upon those with their own unshareable data and give the insights derived from further training to everyone, allowing for Open Source AI in areas like health care. Alternatively, users can obtain the available and public data from the Data Information and retrain their model without any unshareable data, resulting in more data transparency in the AI system. Like copyleft and permissive licensing, this approach leaves the choice with the user. What kind of data should be required in the Open Source AI Definition? A significant challenge in AI is the role of data. Unlike traditional software, where source code is the primary artifact, AI systems depend heavily on data — not just any data, but data processed and curated into training datasets. The OSAID recognizes the legal and ethical complexities of data sharing and uses precise legal terms to outline expectations. While not all raw data can be freely distributed, the Definition ensures that the essential elements for modifying an AI system are accessible. There are four classes of data, based on their legal constraints, all of which can be used to train Open Source AI systems: Open training data: data that can be copied, preserved, modified and reshared. It provides the best way to enable users to study the system. This must be shared. Public training data: data that others can inspect as long as it remains available. This also enables users to study the work. However, this data can degrade as links or references are lost or removed from network availability. To obviate this, different communities will have to work together to define standards, procedures, tools and governance models to overcome this risk, and Data Information is required in case the data becomes later unavailable. This must be disclosed with full details on where to obtain it. Obtainable training data is data that can be obtained, including for a fee. This information provides transparency and is similar to a purchasable component in an open hardware system. The Data Information provides a means of understanding this data other than obtaining or purchasing it. This area is likely to change rapidly and will need careful monitoring to protect Open Source AI developers. It must be disclosed with full details on where to obtain it. Unshareable nonpublic training data: data that cannot be shared for explainable reasons, like Personally Identifiable Information (PII). For this class of data, the ability to study some of the system’s biases demands a detailed description of the data – what it is, how it was collected, its characteristics, and so on – so that users can understand the biases and categorization underlying the system. This must be revealed in detail so that, for example, a hospital can create a dataset with identical structure using its own patient data. OSI believes that all these classes of data can be part of the preferred form of making modifications to the AI system. This approach both advances openness in all the components of the AI system and drives more Open Source AI, including private-first areas such as health care. How do you fix a buggy AI system? A core question the OSAID addresses is: How do you fix a buggy AI system? For traditional software, the Open Source Definition provides a clear answer: The program must include source code, and must allow distribution in source code as well as compiled form. The source code must be the preferred form in which a programmer would modify the program. However, modifying an AI system requires more than just source code. After extensive consultation with AI developers, researchers and practitioners, the community, through the OSAID co-design process, concluded that the preferred form for modifying an AI system includes: The software used to create the dataset (i.e., to transform raw data into tokens). The software used to train the system. The results of the training (i.e., the parameters). All legally shareable data used in the training process. These components collectively enable the study, use, modification and sharing of AI systems in a manner consistent with Open Source principles. What is a skilled person? In legal circles, Skilled Person means any person having the current knowledge, experience and competence to perform a certain duty. This Wikipedia entry provides more details. Is the Open Source AI Definition covering models and weights and parameters? Yes. The Open Source AI Definition makes no distinction between what might be called AI system, model, or weights and parameters. Whether the offering is characterized as an AI system, a model, or weights and parameters, to be called Open Source AI, the requirements for providing the preferred form for making modifications will be the same. If you are interested in learning more about Open Weights, please read this article. Why do you require training code while OSD #2 doesn’t require compilers? AI and software are radically different domains, and drawing comparisons between them is rarely productive. OSD point #2 doesn’t mandate that Open Source software uses only compilers released with an OSI-Approved License because compilers are standardized, de jure (like ANSI C) or de facto like TurboPascal or Python. It was generally accepted that to develop more Open Source software one could use a proprietary development environment. For machine learning, the training code is not standardized, and therefore it must be part of the preferred form of making modifications to preserve the right to fork an AI system. Why is there no mention of safety and risk limitations in the Open Source AI Definition? The Open Source AI Definition does not specifically guide or enforce ethical, trustworthy, or responsible AI development practices. However, it does not put up any barriers that would prevent developers from adhering to such principles if they chose to. The efforts to discuss the responsible development, deployment and use of AI systems, including through appropriate government regulation, are a separate conversation. A good starting point is OECD’s Recommendation of the Council on Artificial Intelligence, Section 1: Principles for responsible stewardship of trustworthy AI . Are model parameters copyrightable? The Open Source AI Definition does not take a stance on the legal nature of Parameters. They may be free by nature, or a license or other legal instrument may be required to ensure their freedom. Whether model parameters are copyrightable will become clearer over time as the legal system has more opportunities to address this issue. In any case, we require an explicit assertion accompanying the distribution of Parameters that assures that they are freely available to all. Why will parameters be available under “OSI-approved terms” but the code will be under “OSI-approved licenses”? Are you going to allow restrictions on the terms for models? We used the word “terms” instead of “license” for models because, as mentioned above, we do not yet know what the legal mechanism will be to assure that the models are available to use, study, modify and share. We used “terms” to avoid suggesting that a “license” is the only legal mechanism that could be used. That said, to be approved by the OSI, the terms for parameters must assure the freedom to use, study, modify and share. Why is the “Preferred form to make modifications” limited to machine learning? The principles stated in the Open Source AI Definition are generally applicable to any kind of AI, but machine learning challenges the Open Source Definition. For machine learning, a set of artifacts (components) is required to study and modify the system, thus requiring a new explanation of what is necessary to study and modify the system. Which AI systems comply with the Open Source AI Definition? As part of our validation and testing of the OSAID, the volunteers checked whether the Definition could be used to evaluate if AI systems provided the freedoms expected. The list of models that passed the Validation phase are: Pythia (Eleuther AI), OLMo (AI2), Amber and CrystalCoder (LLM360), and T5 (Google). A few others that were analyzed would probably pass if they changed their licenses/legal terms, for example, BLOOM (BigScience), Starcoder2 (BigCode), and Falcon (TII). Those that have been analyzed and don’t pass because they lack required components and/or their legal agreements are incompatible with the Open Source principles include Llama2 (Meta), Grok (X/Twitter), Phi-2 (Microsoft), and Mixtral (Mistral). These results should be seen as part of the definitional process, a learning moment; they are not certifications of any kind. OSI will continue to validate only legal documents and will not validate or review individual AI systems, just as it does not validate or review software projects. What’s the next step? The Open Source AI Definition reflects a thoughtful and inclusive process endorsed by leading AI developers, researchers and practitioners. It culminates in a first step represented in version 1.0 of the OSAID. The definition acknowledges that AI fundamentally differs from software and requires a tailored approach. Misunderstandings about the OSAID often arise from attempts to apply software engineering paradigms to AI, leading to confusion. By embracing the unique characteristics of AI systems, the OSAID offers a robust framework for fostering transparency, innovation and collaboration in AI development. As we navigate AI’s evolving landscape, it is crucial to engage thoughtfully and constructively with these definitions. 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https://vibe.forem.com/emilus1/help-us-understand-how-llm-hallucinations-impact-their-use-in-software-development-3l30 | Help Us Understand How LLM Hallucinations Impact Their Use in Software Development! - Vibe Coding 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 Vibe Coding 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 Emil Hacklin Posted on Jan 4 Help Us Understand How LLM Hallucinations Impact Their Use in Software Development! # ai # chatgpt # discuss I’m currently working on my bachelor’s degree at BTH (Blekinge Institute of Technology) and have created a short survey as part of my final paper. The survey aims to gather insights on how LLM hallucinations affect their use in the software development process. If you work in software development or related fields and use LLMs during your work, I would greatly appreciate your participation! The survey is quick, and your responses will directly contribute to my research. Link to the survey: LLM survey docs.google.com Please answer as soon as possible and thank you for your support and time! Feel free to share this with colleagues and others in the industry. 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 Emil Hacklin Follow Joined Jan 4, 2026 💎 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 Vibe Coding Forem — Discussing AI software development, and showing off what we're building. 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 . Vibe Coding Forem © 2025 - 2026. Where anyone can code, with a bit of creativity and some AI help. Log in Create account | 2026-01-13T08:49:39 |
https://dev.to/t/interview/page/118#main-content | Interview Page 118 - 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 # interview Follow Hide Create Post Older #interview posts 115 116 117 118 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 | 2026-01-13T08:49:39 |
https://forem.com/t/llm#main-content | Llm - Forem Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. 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A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account DEV Community Close # llm Follow Hide Create Post Older #llm posts 1 2 3 4 5 6 7 8 9 … 75 … 173 Posts Left menu 👋 Sign in for the ability to sort posts by relevant , latest , or top . Right menu SLMs, LLMs and a Devious Logic Puzzle Test Ben Santora Ben Santora Ben Santora Follow Jan 12 SLMs, LLMs and a Devious Logic Puzzle Test # llm # performance # testing 5 reactions Comments Add Comment 5 min read Conversation Memory Collapse: Why Excessive Context Weakens AI FARAZ FARHAN FARAZ FARHAN FARAZ FARHAN Follow Jan 13 Conversation Memory Collapse: Why Excessive Context Weakens AI # discuss # ai # llm # productivity Comments Add Comment 3 min read Transactional AI v0.2: Production-Ready with Full Observability Grafikui Grafikui Grafikui Follow Jan 12 Transactional AI v0.2: Production-Ready with Full Observability # ai # typescript # saga # llm Comments Add Comment 8 min read Push Claude Code Updates to Your Phone with ntfy Israel Saba Israel Saba Israel Saba Follow Jan 13 Push Claude Code Updates to Your Phone with ntfy # automation # llm # productivity # tutorial Comments Add Comment 2 min read What are AI agent skills and how to use them - complete breakdown with examples Nek.12 Nek.12 Nek.12 Follow Jan 12 What are AI agent skills and how to use them - complete breakdown with examples # aiagents # llm # skills # contextengineering Comments Add Comment 7 min read 2D Spatial Recognition with Local LLM: Comparing Prompt Strategies toydev toydev toydev Follow Jan 12 2D Spatial Recognition with Local LLM: Comparing Prompt Strategies # llm # ai # promptengineering # langchain Comments Add Comment 5 min read Why LLMs Are Bad at "First Try" and Great at Verification Shinsuke KAGAWA Shinsuke KAGAWA Shinsuke KAGAWA Follow Jan 12 Why LLMs Are Bad at "First Try" and Great at Verification # ai # llm # softwareengineering # promptengineering Comments Add Comment 6 min read All Data and AI Weekly #224-12 Jan 2026 Timothy Spann Timothy Spann Timothy Spann Follow Jan 12 All Data and AI Weekly #224-12 Jan 2026 # mcp # llm # snowflake # genai 5 reactions Comments Add Comment 4 min read Claude-Gemini Integration Tool "CGMB" v1.1.0: Implementing Windows Support ryoto miyake ryoto miyake ryoto miyake Follow Jan 12 Claude-Gemini Integration Tool "CGMB" v1.1.0: Implementing Windows Support # ai # gemini # llm # tooling Comments Add Comment 2 min read Engineering Stable Artificial Identity: The AIIM Platform Architecture Julia Julia Julia Follow Jan 12 Engineering Stable Artificial Identity: The AIIM Platform Architecture # ai # llm # opensource Comments Add Comment 3 min read Guide to get started with Retrieval-Augmented Generation (RAG) Neweraofcoding Neweraofcoding Neweraofcoding Follow Jan 12 Guide to get started with Retrieval-Augmented Generation (RAG) # beginners # llm # rag # tutorial Comments Add Comment 2 min read Getting Started with Ollama for Local LLMs Bernard K Bernard K Bernard K Follow Jan 12 Getting Started with Ollama for Local LLMs # llm # local # linux # mac Comments Add Comment 2 min read Why Should We Optimize JSON for LLMs Del Rosario Del Rosario Del Rosario Follow Jan 12 Why Should We Optimize JSON for LLMs # json # llm # webdev # performance Comments Add Comment 5 min read Speculative Decoding: Cómo Acelerar LLMs 2.4x Sin Cambiar el Modelo Abdessamad Ammi Abdessamad Ammi Abdessamad Ammi Follow Jan 12 Speculative Decoding: Cómo Acelerar LLMs 2.4x Sin Cambiar el Modelo # llm # performance # mlop Comments Add Comment 4 min read Release Note: Methodox Threads (v0.7) Charles Zhang Charles Zhang Charles Zhang Follow for Methodox Technologies, Inc. Jan 12 Release Note: Methodox Threads (v0.7) # chatmanagement # generativeai # llm # texteditor Comments Add Comment 2 min read 2025 Voice AI Guide How to Make Your Own Real-Time Voice Agent (Part-3) Boopathi Boopathi Boopathi Follow Jan 11 2025 Voice AI Guide How to Make Your Own Real-Time Voice Agent (Part-3) # voiceagent # llm # openai # pipecat 5 reactions Comments Add Comment 15 min read Online Course Notes: DeepLearningAI - Advanced Retrieval for AI with Chroma Evan Lin Evan Lin Evan Lin Follow Jan 11 Online Course Notes: DeepLearningAI - Advanced Retrieval for AI with Chroma # rag # llm # deeplearning # ai Comments Add Comment 4 min read Cloud Platform: Choosing Between Heroku and Render as an AI (LLM) Engineer Evan Lin Evan Lin Evan Lin Follow Jan 11 Cloud Platform: Choosing Between Heroku and Render as an AI (LLM) Engineer # architecture # cloud # llm # devops Comments Add Comment 4 min read TIL: Notes on Knowledge Retrieval Architecture for LLMs (2023) Evan Lin Evan Lin Evan Lin Follow Jan 11 TIL: Notes on Knowledge Retrieval Architecture for LLMs (2023) # rag # architecture # llm # ai Comments Add Comment 3 min read [Golang] Quickly Set Up a Free Local ChatGPT with Ollama and Build a LangChainGo Application Evan Lin Evan Lin Evan Lin Follow Jan 11 [Golang] Quickly Set Up a Free Local ChatGPT with Ollama and Build a LangChainGo Application # llm # tutorial # go # chatgpt Comments Add Comment 4 min read [Learning Notes][OpenAI] About OpenAI's New Function Calling Feature Evan Lin Evan Lin Evan Lin Follow Jan 11 [Learning Notes][OpenAI] About OpenAI's New Function Calling Feature # llm # openai # api # tutorial Comments Add Comment 6 min read [Golang][Gemini Pro] Build a LINE Bot with Memory Using Chat Sessions Evan Lin Evan Lin Evan Lin Follow Jan 11 [Golang][Gemini Pro] Build a LINE Bot with Memory Using Chat Sessions # gemini # llm # go # tutorial Comments Add Comment 6 min read Gemini: Summarize Search Results Based on Your Keywords Evan Lin Evan Lin Evan Lin Follow Jan 11 Gemini: Summarize Search Results Based on Your Keywords # gemini # google # rag # llm Comments Add Comment 4 min read Using Gemini to Call MCP Functions on Cline Evan Lin Evan Lin Evan Lin Follow Jan 11 Using Gemini to Call MCP Functions on Cline # gemini # mcp # llm # tutorial Comments Add Comment 6 min read LangChain on Cloud Run: Getting YouTube Info Evan Lin Evan Lin Evan Lin Follow Jan 11 LangChain on Cloud Run: Getting YouTube Info # serverless # llm # python # tutorial Comments Add Comment 4 min read loading... trending guides/resources If You’re Learning AI, These 5 Books Are All You Need TOON vs JSON: A Modern Data Format Showdown Choosing the Right Chunking Strategy: A Comprehensive Guide to RAG Optimization TOON vs JSON: The New Format Designed for AI 🚀 TOON (Token-Oriented Object Notation) — The Smarter, Lighter JSON for LLMs Choosing the Right LLM for Cognee: Local Ollama Setup Opencode for Agentic Development with Local LLMs 5 Must-Read Books for Backend Engineers in 2026 Building Your First Agentic AI: Complete Guide to MCP + Ollama Tool Calling Running Local AI on Linux With GPU: Ollama + Open WebUI + Gemma Book review: “Build a DeepSeek Model (From Scratch)” Using Gemini CLI Through LiteLLM Proxy The 6 Best AI Code Review Tools for Pull Requests in 2025 Building Agent Skills from Scratch Observations from Finetuning Gemma Model on Strix Halo (Fedora 43) Skills, MCPs, and Commands are the same context engineering trend. Dense vs Sparse Retrieval: Mastering FAISS, BM25, and Hybrid Search Prompt Length vs. Context Window: The Real Limits Behind LLM Performance Building RAG Systems: From Zero to Hero Best LLM inference providers. Groq vs. Cerebras: Which Is the Fastest AI Inference Provider? 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV DEV Community — Your community HQ Home About Contact Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. Made with love and Ruby on Rails . DEV Community © 2016 - 2026. We're a blogging-forward open source social network where we learn from one another Log in Create account | 2026-01-13T08:49:39 |
https://dev.to/mentalistops | MentalistOps - DEV Community Forem Feed Follow new Subforems to improve your feed DEV Community Follow A space to discuss and keep up software development and manage your software career Future Follow News and discussion of science and technology such as AI, VR, cryptocurrency, quantum computing, and more. Open Forem Follow A general discussion space for the Forem community. If it doesn't have a home elsewhere, it belongs here Gamers Forem Follow An inclusive community for gaming enthusiasts Music Forem Follow From composing and gigging to gear, hot music takes, and everything in between. Vibe Coding Forem Follow Discussing AI software development, and showing off what we're building. Popcorn Movies and TV Follow Movie and TV enthusiasm, criticism and everything in-between. DUMB DEV Community Follow Memes and software development shitposting Design Community Follow Web design, graphic design and everything in-between Security Forem Follow Your central hub for all things security. From ethical hacking and CTFs to GRC and career development, for beginners and pros alike Golf Forem Follow A community of golfers and golfing enthusiasts Crypto Forem Follow A collaborative community for all things Crypto—from Bitcoin to protocol development and DeFi to NFTs and market analysis. Parenting Follow A place for parents to the share the joys, challenges, and wisdom that come from raising kids. We're here for them and for each other. Forem Core Follow Discussing the core forem open source software project — features, bugs, performance, self-hosting. Maker Forem Follow A community for makers, hobbyists, and professionals to discuss Arduino, Raspberry Pi, 3D printing, and much more. HMPL.js Forem Follow For developers using HMPL.js to build fast, lightweight web apps. A space to share projects, ask questions, and discuss server-driven templating Dropdown menu Dropdown menu Skip to content Navigation menu Search Powered by Algolia Search Log in Create account DEV Community Close Follow User actions MentalistOps Self-taught technician passionate about system diagnostics, CLI tools, and ethical software. Creator of SysNova Toolkit — modular diagnostics for Windows & macOS, built without commercial dependencies Location italy Joined Joined on Oct 26, 2025 Personal website https://mentalistops.webnode.it/contatti/ github website More info about @mentalistops Badges Writing Debut Awarded for writing and sharing your first DEV post! Continue sharing your work to earn the 4 Week Writing Streak Badge. Got it Close Skills/Languages I’ve gained the most experience with BAT, SH, and Bash scripting languages Currently learning SysNova Script Language (SSL) bash, bat e sh utilities batch tools Available for are available in discussions regarding the creation of increasingly evolving command tools of scripts in bat bash and sh Post 15 posts published Comment 0 comments written Tag 0 tags followed Automate Gmail Spam Detection with Python MentalistOps MentalistOps MentalistOps Follow Jan 9 Automate Gmail Spam Detection with Python # python # productivity # security # automation Comments Add Comment 2 min read Automate Gmail Spam Detection with Python MentalistOps MentalistOps MentalistOps Follow Jan 9 Automate Gmail Spam Detection with Python # python # productivity # security # automation Comments Add Comment 1 min read WINDOWS SOS – NOW AVAILABLE IN EXTENDED VERSION MentalistOps MentalistOps MentalistOps Follow Dec 30 '25 WINDOWS SOS – NOW AVAILABLE IN EXTENDED VERSION # opensource # automation # codenewbie # software Comments Add Comment 1 min read I built a Python tool to hunt down Remote Access Trojans on Windows MentalistOps MentalistOps MentalistOps Follow Dec 29 '25 I built a Python tool to hunt down Remote Access Trojans on Windows # python # security # cybersecurity # software Comments Add Comment 1 min read I built a Windows diagnostic tool in Python to detect RATs, persistence, and suspicious logs MentalistOps MentalistOps MentalistOps Follow Dec 29 '25 I built a Windows diagnostic tool in Python to detect RATs, persistence, and suspicious logs # python # security # cybersecurity # github Comments Add Comment 1 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 🛠️ QMR-Lite – Cognitive Recovery Toolkit for Windows 11 23H2 MentalistOps MentalistOps MentalistOps Follow Oct 31 '25 🛠️ QMR-Lite – Cognitive Recovery Toolkit for Windows 11 23H2 # productivity # opensource # automation # testing Comments Add Comment 1 min read Introducing SysBrain: A Cognitive Automation Framework for Windows Power Users” MentalistOps MentalistOps MentalistOps Follow Oct 30 '25 Introducing SysBrain: A Cognitive Automation Framework for Windows Power Users” # productivity # security # opensource Comments Add Comment 1 min read How I Diagnose PCs the Unconventional Way MentalistOps MentalistOps MentalistOps Follow Oct 27 '25 How I Diagnose PCs the Unconventional Way # productivity # tutorial # opensource # softwaredevelopment Comments Add Comment 2 min read I’m Not Like the Others: A Technical Autodidact Who Builds His Own Challenges MentalistOps MentalistOps MentalistOps Follow Oct 27 '25 I’m Not Like the Others: A Technical Autodidact Who Builds His Own Challenges # rust # career # tooling # devjournal Comments Add Comment 2 min read AutoFixer Lite: A Cross-Platform System Diagnostics Tool in Rust (Full Version Available Upon Request) MentalistOps MentalistOps MentalistOps Follow Oct 27 '25 AutoFixer Lite: A Cross-Platform System Diagnostics Tool in Rust (Full Version Available Upon Request) # opensource # rust # softwaredevelopment # developer Comments Add Comment 1 min read my ambitions MentalistOps MentalistOps MentalistOps Follow Oct 27 '25 my ambitions # tooling # learning # rust # python Comments Add Comment 1 min read “A Self-Taught Technician’s Path to Cross-Platform Scripting” MentalistOps MentalistOps MentalistOps Follow Oct 27 '25 “A Self-Taught Technician’s Path to Cross-Platform Scripting” Comments Add Comment 1 min read “SysNova Toolkit: Ethical, Modular Diagnostics for Windows & macOS — Built by a Self-Taught Technician” MentalistOps MentalistOps MentalistOps Follow Oct 27 '25 “SysNova Toolkit: Ethical, Modular Diagnostics for Windows & macOS — Built by a Self-Taught Technician” # opensource # automation # github # development Comments Add Comment 1 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 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 | 2026-01-13T08:49:39 |
https://sliplane.io/blog/the-tech-stack-to-build-a-cloud-provider-2026?utm_source=techstack2026 | Tech Stack Lessons from scaling 20x Beta Features Pricing Docs About us Blog Dashboard Features Pricing Docs About us Blog Dashboard Back to articles Contents What Stayed the Same Observability: Axiom → Parseable Object Storage: Backblaze → IONOS/Hetzner CDN: Cloudflare → Bunny CI/CD: GitHub Actions → Namespace Data Persistence: The Big One The Pattern What's Next Tech Stack Lessons from scaling 20x Jonas Scholz 5 min A year ago, I wrote about our tech stack and how it helped us run a lean cloud computing startup. Since then, we've scaled over 20x. That kind of growth is fun, but also breaks a lot of things and assumptions; and forces you to make hard choices, quickly :D Here's what changed, what stayed the same, and what we learned along the way. What Stayed the Same Some things just work. Our frontend is still Nuxt with Typescript and Tailwind ( RIP ). Our backend is still Go with Go-Gin . We still run on Hetzner bare-metal and use Firecracker for virtualization. Terraform still manages our infrastructure. Redis still handles caching. Crisp still powers customer support. AWS SES still sends our transactional emails. If it ain't broke, don't fix it. But plenty did break — or became too expensive to keep running the same way. Observability: Axiom → Parseable This was our biggest operational change. Last year I praised Axiom for logs. It was great, on the base plan. Until we scaled. As our traffic grew, so did our need for better tracing and more detailed logs. Our Axiom bill exploded past €1,000/month and kept climbing. At that point, you have to ask yourself: is this sustainable? Obviously not lol. We migrated to Parseable , self-hosted on Kubernetes with Minio for S3-compatible storage, all running on bare-metal. The product still feels early, but the team is responsive and ships fixes fast when something breaks. Big shoutout to Anant and Deba ! Would I recommend it? If you can't trade boatloads of money for time, yes. Self-hosting observability is work, but at our "scale" (we are still tiny), it's worth it. We still use Grafana for dashboards and alerts, that hasn't changed (for now, the bill is starting to hurt). Object Storage: Backblaze → IONOS/Hetzner Last year we used Backblaze for blob storage. It was cheap and reliable. The problem wasn't technical, it was purely political and a question of positioning. As we grew, so did the type of customers we attract. Enterprise customers, especially European ones, started pushing back on storing their data with US providers. GDPR compliance, data sovereignty, internal policies; the reasons varied, but the message was clear. No US providers! So our crusade to replace all US providers began with Backblaze. We moved to IONOS and Hetzner for object storage. Are they as good as Backblaze? No, not even close. But they're European, they're (barely) good enough, and they satisfy our customers' requirements. Honestly, if you're not required to use them I wouldn't. It feels like we don't really have a choice here. CDN: Cloudflare → Bunny Same story as storage. Cloudflare is an incredible product with features we'll never use. But customers asked for a European alternative. Bunny fits the bill. It's not feature-complete like Cloudflare, but it handles our CDN needs perfectly. It's fast, reasonably priced, and European. In that case this wasn't even a real tradeoff, Bunny does exactly what we need. For our super simple setup the migration took less than 2 hours. CI/CD: GitHub Actions → Namespace GitHub Actions served us well, but it's stagnated. We needed nested virtualization for testing Firecracker stuff. We needed better performance. GitHub wasn't delivering. We moved to Namespace for our runners. It's a great product — also European, which is becoming a theme here. The performance improvements alone were worth the switch. That said, we'll probably migrate to completely self-hosted runners eventually. The more we scale, the more control we want. Data Persistence: The Big One This was our most significant architectural change. Last year, I bragged about running everything in Postgres with Timescale, including hundreds of millions of analytics rows. That worked great until our database hit 2TB. At 2TB, Postgres becomes hard to manage. Stupid queries can take down prod, scaling is painful. Database pros are going to laugh about me here, 2TB is probably nothing in the grand scheme of things! I am not a postgres pro, and honestly wasn't planning on becoming one. Additionally, the cost just started to hurt. Especially considering that we want to do another 20x in 2026. So we built something simpler: hot data lives in Postgres , then gets flushed to S3 as Parquet files. For queries, we use DuckDB to read directly from S3. DuckDB is amazing . The results surprised us. P99 latency actually improved. Why? Most queries are "give me the last 5 minutes of metrics" or "show me the last 500 logs." That's all hot data sitting in Postgres. Historical queries hit S3, and DuckDB handles Parquet files like a champ. Those are, if not cached, of course slightly slower. This architecture saves money, scales better, and plays to our strengths. We understand S3. We don't understand running a 10TB Postgres cluster The Pattern Looking back at all these changes, there's a clear pattern: European everything. Customer pressure pushed us toward EU providers. Again, this isn't a technical decision. It's a business reality when you grow beyond startups and indie hackers. Self-host at scale. SaaS products are great until your bill crosses a threshold. Then you have to do the math on whether your time is cheaper than their prices. Simple beats clever. We didn't build a fancy distributed database. We flush data to S3 and query it with DuckDB . It's not sexy, but it works! (Actually I think the simplicity is quite sexy, but not great for resume-driven development) What's Next We'll probably self-host our CI runners soon. We're evaluating alternatives to AWS SES since, you know, European. The stack will keep evolving. That's the nature of building infrastructure at scale. But the core philosophy stays the same: keep it simple, keep it maintainable, and only add complexity when the problem forces you to. That's where we're at in 2026. Twenty times bigger, a few hard lessons learned, and a stack that's more European than ever. Cheers, Jonas About the author Jonas Scholz is one of the co-founders of Sliplane, where he focuses mainly on backend development and maintaining system reliability. About Sliplane Sliplane is a simple container hosting solution. It enables you to deploy your containers in the cloud within minutes and scale up as you grow. Try Sliplane for free Welcome to the container cloud Sliplane makes it simple to deploy containers in the cloud and scale up as you grow. Try it now and get started in minutes! Connect GitHub Links Homepage Docker Hosting About us Contact Careers Referral Program Resources Docs API Reference Status Blog Tools Presskit Open Source n8n Langflow Open WebUI PostgreSQL MySQL MariaDB MongoDB Redis Qdrant Alternatives Hostinger Alternative Railway Alternative Coolify Alternative Render Alternative Heroku Alternative Koyeb Alternative Elestio Alternative Fly.io Alternative Legal Legal Disclosure Terms of Service Privacy Policy Cookie Policy Abuse Report Cookie Preferences Localization & VAT All systems operational European Hosting Sliplane is not associated with Docker Inc. or any of its products. Prices do not include VAT. © Sliplane | 2026-01-13T08:49:39 |
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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 # functional Follow Hide Create Post Posts Left menu 👋 Sign in for the ability to sort posts by relevant , latest , or top . Right menu The Underlying Process of Request Processing Sergiy Yevtushenko Sergiy Yevtushenko Sergiy Yevtushenko Follow Jan 12 The Underlying Process of Request Processing # java # functional # architecture # backend Comments Add Comment 4 min read You Probably Already Know What a Monad Is Christian Ekrem Christian Ekrem Christian Ekrem Follow Jan 8 You Probably Already Know What a Monad Is # programming # frontend # functional # beginners Comments Add Comment 1 min read Type-Safe Collections in C#: How NonEmptyList Eliminates Runtime Exceptions Ahmad Al-Freihat Ahmad Al-Freihat Ahmad Al-Freihat Follow Jan 2 Type-Safe Collections in C#: How NonEmptyList Eliminates Runtime Exceptions # csharp # dotnet # functional # architecture Comments Add Comment 4 min read Play: UI Layouts in PureScript Anton Kiłka Anton Kiłka Anton Kiłka Follow Jan 11 Play: UI Layouts in PureScript # purescript # functional # ui # layouts Comments Add Comment 17 min read Stillwater 1.0: Pragmatic Effect Composition and Validation for Rust Glen Baker Glen Baker Glen Baker Follow Dec 24 '25 Stillwater 1.0: Pragmatic Effect Composition and Validation for Rust # rust # functional # validation # opensource Comments Add Comment 8 min read CLI Validation Patterns with Maybe Monads Mike Lane Mike Lane Mike Lane Follow Jan 9 CLI Validation Patterns with Maybe Monads # python # functional # cli # validation 1 reaction Comments 1 comment 6 min read Higher Order Function in JavaScript Sagar Kumar Shrivastava Sagar Kumar Shrivastava Sagar Kumar Shrivastava Follow Dec 25 '25 Higher Order Function in JavaScript # programming # javascript # functional Comments Add Comment 4 min read Core Premise of Function in JavaScript Sagar Kumar Shrivastava Sagar Kumar Shrivastava Sagar Kumar Shrivastava Follow Dec 25 '25 Core Premise of Function in JavaScript # javascript # functional # programming Comments Add Comment 3 min read I Re-implemented Java Streams to Understand Lazy Evaluation Sanjeet Singh Jagdev Sanjeet Singh Jagdev Sanjeet Singh Jagdev Follow Jan 3 I Re-implemented Java Streams to Understand Lazy Evaluation # java # programming # learning # functional Comments Add Comment 5 min read Functional Composition in JavaScript Travis van der F. Travis van der F. Travis van der F. Follow Dec 10 '25 Functional Composition in JavaScript # webdev # javascript # functional # architecture 1 reaction Comments Add Comment 2 min read Closures vs Objects: Understanding 'A Poor Man's' Through the Lens of IVP Yannick Loth Yannick Loth Yannick Loth Follow Dec 4 '25 Closures vs Objects: Understanding 'A Poor Man's' Through the Lens of IVP # functional # objectorientedprogramming # architecture # languagedesign Comments Add Comment 26 min read First-Class Functions in JavaScript Travis van der F. Travis van der F. Travis van der F. Follow Dec 15 '25 First-Class Functions in JavaScript # webdev # javascript # functional # architecture Comments Add Comment 3 min read Functional takes on GoF design patterns Zelenya Zelenya Zelenya Follow Dec 30 '25 Functional takes on GoF design patterns # functional # scala # oop # haskell 8 reactions Comments 1 comment 26 min read Refined Types in Rust: Parse, Don't Validate Glen Baker Glen Baker Glen Baker Follow Dec 28 '25 Refined Types in Rust: Parse, Don't Validate # rust # types # validation # functional 1 reaction Comments Add Comment 7 min read Compile-Time Resource Tracking in Rust: From Runtime Brackets to Type-Level Safety Glen Baker Glen Baker Glen Baker Follow Dec 20 '25 Compile-Time Resource Tracking in Rust: From Runtime Brackets to Type-Level Safety # rust # functional # typesystem # programming 1 reaction Comments Add Comment 6 min read What it was like to give a talk at Clojure South 2025 Marcio Frayze Marcio Frayze Marcio Frayze Follow Dec 3 '25 What it was like to give a talk at Clojure South 2025 # clojure # functional # nubank # elm Comments Add Comment 6 min read Building Type-Safe CLIs in Python with Maybe Monads Mike Lane Mike Lane Mike Lane Follow Nov 10 '25 Building Type-Safe CLIs in Python with Maybe Monads # python # cli # functional # tutorial Comments Add Comment 4 min read Refactoring a God Object Detector That Was Itself a God Object Glen Baker Glen Baker Glen Baker Follow Dec 9 '25 Refactoring a God Object Detector That Was Itself a God Object # rust # refactoring # functional # architecture 1 reaction Comments Add Comment 12 min read Stillwater Validation for Rustaceans: Accumulating Errors Instead of Failing Fast Glen Baker Glen Baker Glen Baker Follow Dec 4 '25 Stillwater Validation for Rustaceans: Accumulating Errors Instead of Failing Fast # rust # validation # functional # errors 1 reaction Comments Add Comment 8 min read From Ruby OOP to Elixir Functional by Example hungle00 hungle00 hungle00 Follow Dec 2 '25 From Ruby OOP to Elixir Functional by Example # ruby # elixir # functional 3 reactions Comments Add Comment 3 min read Three Patterns That Made Prodigy's Functional Migration Worth It Glen Baker Glen Baker Glen Baker Follow Nov 30 '25 Three Patterns That Made Prodigy's Functional Migration Worth It # rust # functional # architecture # refactoring 1 reaction Comments Add Comment 8 min read Value Objects in PHP 8: Let's introduce a functional approach Christian Nastasi Christian Nastasi Christian Nastasi Follow Nov 23 '25 Value Objects in PHP 8: Let's introduce a functional approach # programming # php # functional # software 9 reactions Comments 7 comments 12 min read How was my experience at Lambda Days 2025 Marcio Frayze Marcio Frayze Marcio Frayze Follow Nov 14 '25 How was my experience at Lambda Days 2025 # lambdadays # functional # elm # elixir 5 reactions Comments 2 comments 11 min read Temporal State Coordination: A Timeline of a Timeline Aleta Lovelace Aleta Lovelace Aleta Lovelace Follow Nov 15 '25 Temporal State Coordination: A Timeline of a Timeline # animation # javascript # typescript # functional Comments Add Comment 5 min read Functional Ruby Programming with Trailblazer kinvoki kinvoki kinvoki Follow Nov 3 '25 Functional Ruby Programming with Trailblazer # ruby # trailblazer # functional # codequality 3 reactions Comments Add Comment 2 min read loading... trending guides/resources Value Objects in PHP 8: Let's introduce a functional approach Functional takes on GoF design patterns How was my experience at Lambda Days 2025 Refined Types in Rust: Parse, Don't Validate Temporal State Coordination: A Timeline of a Timeline Closures vs Objects: Understanding 'A Poor Man's' Through the Lens of IVP First-Class Functions in JavaScript What it was like to give a talk at Clojure South 2025 I Re-implemented Java Streams to Understand Lazy Evaluation Type-Level Programming na prática: construindo um encoder Base64 somente com tipos Core Premise of Function in JavaScript Functional Ruby Programming with Trailblazer Functional Composition in JavaScript Building Type-Safe CLIs in Python with Maybe Monads Compile-Time Resource Tracking in Rust: From Runtime Brackets to Type-Level Safety Type-Safe Collections in C#: How NonEmptyList Eliminates Runtime Exceptions You Probably Already Know What a Monad Is Refactoring a God Object Detector That Was Itself a God Object From Ruby OOP to Elixir Functional by Example Play: UI Layouts in PureScript 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV DEV Community — Your community HQ Home About Contact Code of Conduct Privacy Policy Terms of Use Built on Forem — the open source software that powers DEV and other inclusive communities. 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https://opensource.org/ai/faq#how-did-you-arrive-at-this-conclusion-is-it-compromising-open-source-ideals | OSAID FAQs – Open Source Initiative Skip to content Get involved About Licenses Open Source Definition Open Source AI Programs Blog Get involved About Licenses Open Source Definition Open Source AI Programs Blog Open Source AI Open Source AI OSAID 1.0 Process Timeline Open Weights FAQ Endorsements Open Main Menu THE open source ai definition 1.0 We have released the first stable version of the Definition. Read version 1.0 Answers to Frequently Asked Questions The Open Source AI Definition (OSAID) represents an important first step in defining Open Source in an AI context. Because AI systems differ fundamentally from traditional software, the OSAID seeks to establish the first set of clear, practical guidelines for development, use and modification of AI systems in keeping with the Open Source ethos. Unfortunately, misconceptions about the definition persist, often stemming from a lack of understanding of the nature of AI. This post aims to clarify key points and provide a forward-looking perspective on the importance of the OSAID. THE open source ai definition 1.0 FAQs What Is an AI System? What is an Open Source AI? Why did you write the Open Source AI Definition? What’s the difference between the Open Source Definition and the Open Source AI Definition? Isn’t training data required to program the AI system? What is the role of training data in the Open Source AI Definition? Why do you allow the exclusion of some training data? How did you arrive at this conclusion? Is it compromising Open Source ideals? What kind of data should be required in the Open Source AI Definition? How do you fix a buggy AI system? What is a skilled person? Is the Open Source AI Definition covering models and weights and parameters? Why do you require training code while OSD #2 doesn’t require compilers? Why is there no mention of safety and risk limitations in the Open Source AI Definition? Are model parameters copyrightable? Why will parameters be available under “OSI-approved terms” but the code will be under “OSI-approved licenses”? Are you going to allow restrictions on the terms for models? Why is the “Preferred form to make modifications” limited to machine learning? Which AI systems comply with the Open Source AI Definition? What’s the next step? FAQs What Is an AI System? According to the OSAID, an AI system aligns with the definition provided by the Organisation for Economic Co-operation and Development (OECD): An AI system is a machine-based system that, for explicit or implicit objectives, infers, from the input it receives, how to generate outputs such as predictions, content, recommendations, or decisions that can influence physical or virtual environments. Different AI systems vary in their levels of autonomy and adaptiveness after deployment. In simple terms, an AI system is “the thing” that processes input to produce output, whether that’s a prediction, recommendation, or another result. Anchoring discussions in such common definitions is essential because AI systems differ radically from traditional software. What is an Open Source AI? An Open Source AI is an AI system made freely available with all necessary code, data and parameters under legal terms approved by the Open Source Initiative. For more details, read below. Why did you write the Open Source AI Definition? Point #2 of the Open Source Definition (OSD) says “The program must include source code […] The source code must be the preferred form in which a programmer would modify the program […]” . When we embarked on this initiative, nobody had a clear answer to the question, “What is the preferred form to modify an AI system?” So OSI offered to find the answer along with the broader community by engaging in a co-design process . What’s the difference between the Open Source Definition and the Open Source AI Definition? The Open Source Definition (OSD) refers to software programs. AI and specifically machine learning systems are not simply software programs; they blend boundaries with data, configuration options, documentation and new artifacts, like weights and biases. The Open Source AI Definition describes the preferred form to modify an AI system, providing clarity on interpreting the principles of the OSD in the domain of AI. Isn’t training data required to program the AI system? A frequent misunderstanding about AI systems is equating training data with source code, suggesting that “training data is how the model gets programmed.” Unlike traditional software, AI systems are not programmed in the conventional sense. Instead, they acquire capabilities autonomously during the training process — a phenomenon distinguishing them from software like the Linux kernel. For example, the Linux kernel is: Programmed by humans. Composed of source code that developers can read, study, and modify. Reproducible, meaning its binary form can be reliably rebuilt from its source code. In contrast, modern AI systems such as large language models develop their behavior in ways that are often unpredictable and inexplicable. Training processes are challenging to replicate reliably, even by the system’s creators. These differences necessitated the establishment of a unique definition beyond the Open Source Definition for software. What is the role of training data in the Open Source AI Definition? Open Source means giving anyone the ability to meaningfully fork (study and modify) your system without requiring additional permissions to make it more useful for themselves and everyone else. This is why point #2 of the OSD requires that the source code be provided in the preferred form for making modifications. This way, everyone has the same rights and ability to fork as the original developers, starting a virtuous innovation cycle. However, training data does not equate to a software source code. Training data is important for studying modern machine learning systems. However, it is not what AI researchers and practitioners necessarily use as part of the preferred form for modifying a trained model. The Data Information and Code requirements of the OSAID allow Open Source AI systems to be forked by third-party AI builders downstream using the same information as the original developers. These forks could include removing nonpublic or non-open data from the training dataset in order to train a new Open Source AI system on fully public or open data. Why do you allow the exclusion of some training data? We want Open Source AI to exist in fields where data cannot be legally shared, such as medical AI. Laws that permit training on data often limit the resharing of that same data to protect copyright or other interests. Privacy rules also give people the right to control their most sensitive information, like decisions about their health. Similarly, much of the world’s Indigenous knowledge is protected through mechanisms that are not compatible with later-developed frameworks for rights exclusivity and sharing. There are also many cases where terms of use of publicly available data may give entity A the confidence that they may use it freely and call it “open data,” but not give entity A the confidence they can, in turn, give entity B the same guarantees for use in a different jurisdiction. Meanwhile, entity B may not feel confident using that data in their own jurisdiction. An example is so-called public domain data, where the definition of public domain varies from country to country. Another example is fair-use or private data, where the finding of fair use or privacy laws may require a good knowledge of the law of a given jurisdiction. This resharing is not so much limited as lacking legal certainty . How did you arrive at this conclusion? Is it compromising Open Source ideals? During our co-design process, relationships between the weights and the data drove the highest community engagement. In the “System analysis” phase , the volunteer groups suggested that training and data processing codes were more important for modifying the AI system than accessing the training and testing data. That result was validated in the “Validation phase” and suggested a path that allows Open Source AI to exist on equal grounds with proprietary systems: both can train on the same kind of data. Some people believe that full, unfettered access to all training data (with no distinction of its kind) is paramount, arguing that anything less would compromise the full reproducibility of AI systems, transparency and security. This approach would relegate Open Source AI to a niche of AI trainable only on open data. That niche would be tiny, even relative to the niche occupied by Open Source in the traditional software ecosystem. The requirements of Data Information keep the same approach present in the Open Source Definition; it doesn’t mandate full reproducibility and transparency but enables them (i.e., reproducible builds ). At the same time, setting a baseline requiring Data Information doesn’t preclude others from formulating and demanding more requirements, like the Digital Public Goods Standard or the Free Systems Distribution Guidelines , which add requirements to the Open Source Definition. One of the key aspects of OSI’s mission is to drive and promote Open Source innovation. The approach OSI takes here enables complete user choice with Open Source AI. Users can keep the insights derived from training+data preprocessing code and a description of unshareable training data and build upon those with their own unshareable data and give the insights derived from further training to everyone, allowing for Open Source AI in areas like health care. Alternatively, users can obtain the available and public data from the Data Information and retrain their model without any unshareable data, resulting in more data transparency in the AI system. Like copyleft and permissive licensing, this approach leaves the choice with the user. What kind of data should be required in the Open Source AI Definition? A significant challenge in AI is the role of data. Unlike traditional software, where source code is the primary artifact, AI systems depend heavily on data — not just any data, but data processed and curated into training datasets. The OSAID recognizes the legal and ethical complexities of data sharing and uses precise legal terms to outline expectations. While not all raw data can be freely distributed, the Definition ensures that the essential elements for modifying an AI system are accessible. There are four classes of data, based on their legal constraints, all of which can be used to train Open Source AI systems: Open training data: data that can be copied, preserved, modified and reshared. It provides the best way to enable users to study the system. This must be shared. Public training data: data that others can inspect as long as it remains available. This also enables users to study the work. However, this data can degrade as links or references are lost or removed from network availability. To obviate this, different communities will have to work together to define standards, procedures, tools and governance models to overcome this risk, and Data Information is required in case the data becomes later unavailable. This must be disclosed with full details on where to obtain it. Obtainable training data is data that can be obtained, including for a fee. This information provides transparency and is similar to a purchasable component in an open hardware system. The Data Information provides a means of understanding this data other than obtaining or purchasing it. This area is likely to change rapidly and will need careful monitoring to protect Open Source AI developers. It must be disclosed with full details on where to obtain it. Unshareable nonpublic training data: data that cannot be shared for explainable reasons, like Personally Identifiable Information (PII). For this class of data, the ability to study some of the system’s biases demands a detailed description of the data – what it is, how it was collected, its characteristics, and so on – so that users can understand the biases and categorization underlying the system. This must be revealed in detail so that, for example, a hospital can create a dataset with identical structure using its own patient data. OSI believes that all these classes of data can be part of the preferred form of making modifications to the AI system. This approach both advances openness in all the components of the AI system and drives more Open Source AI, including private-first areas such as health care. How do you fix a buggy AI system? A core question the OSAID addresses is: How do you fix a buggy AI system? For traditional software, the Open Source Definition provides a clear answer: The program must include source code, and must allow distribution in source code as well as compiled form. The source code must be the preferred form in which a programmer would modify the program. However, modifying an AI system requires more than just source code. After extensive consultation with AI developers, researchers and practitioners, the community, through the OSAID co-design process, concluded that the preferred form for modifying an AI system includes: The software used to create the dataset (i.e., to transform raw data into tokens). The software used to train the system. The results of the training (i.e., the parameters). All legally shareable data used in the training process. These components collectively enable the study, use, modification and sharing of AI systems in a manner consistent with Open Source principles. What is a skilled person? In legal circles, Skilled Person means any person having the current knowledge, experience and competence to perform a certain duty. This Wikipedia entry provides more details. Is the Open Source AI Definition covering models and weights and parameters? Yes. The Open Source AI Definition makes no distinction between what might be called AI system, model, or weights and parameters. Whether the offering is characterized as an AI system, a model, or weights and parameters, to be called Open Source AI, the requirements for providing the preferred form for making modifications will be the same. If you are interested in learning more about Open Weights, please read this article. Why do you require training code while OSD #2 doesn’t require compilers? AI and software are radically different domains, and drawing comparisons between them is rarely productive. OSD point #2 doesn’t mandate that Open Source software uses only compilers released with an OSI-Approved License because compilers are standardized, de jure (like ANSI C) or de facto like TurboPascal or Python. It was generally accepted that to develop more Open Source software one could use a proprietary development environment. For machine learning, the training code is not standardized, and therefore it must be part of the preferred form of making modifications to preserve the right to fork an AI system. Why is there no mention of safety and risk limitations in the Open Source AI Definition? The Open Source AI Definition does not specifically guide or enforce ethical, trustworthy, or responsible AI development practices. However, it does not put up any barriers that would prevent developers from adhering to such principles if they chose to. The efforts to discuss the responsible development, deployment and use of AI systems, including through appropriate government regulation, are a separate conversation. A good starting point is OECD’s Recommendation of the Council on Artificial Intelligence, Section 1: Principles for responsible stewardship of trustworthy AI . Are model parameters copyrightable? The Open Source AI Definition does not take a stance on the legal nature of Parameters. They may be free by nature, or a license or other legal instrument may be required to ensure their freedom. Whether model parameters are copyrightable will become clearer over time as the legal system has more opportunities to address this issue. In any case, we require an explicit assertion accompanying the distribution of Parameters that assures that they are freely available to all. Why will parameters be available under “OSI-approved terms” but the code will be under “OSI-approved licenses”? Are you going to allow restrictions on the terms for models? We used the word “terms” instead of “license” for models because, as mentioned above, we do not yet know what the legal mechanism will be to assure that the models are available to use, study, modify and share. We used “terms” to avoid suggesting that a “license” is the only legal mechanism that could be used. That said, to be approved by the OSI, the terms for parameters must assure the freedom to use, study, modify and share. Why is the “Preferred form to make modifications” limited to machine learning? The principles stated in the Open Source AI Definition are generally applicable to any kind of AI, but machine learning challenges the Open Source Definition. For machine learning, a set of artifacts (components) is required to study and modify the system, thus requiring a new explanation of what is necessary to study and modify the system. Which AI systems comply with the Open Source AI Definition? As part of our validation and testing of the OSAID, the volunteers checked whether the Definition could be used to evaluate if AI systems provided the freedoms expected. The list of models that passed the Validation phase are: Pythia (Eleuther AI), OLMo (AI2), Amber and CrystalCoder (LLM360), and T5 (Google). A few others that were analyzed would probably pass if they changed their licenses/legal terms, for example, BLOOM (BigScience), Starcoder2 (BigCode), and Falcon (TII). Those that have been analyzed and don’t pass because they lack required components and/or their legal agreements are incompatible with the Open Source principles include Llama2 (Meta), Grok (X/Twitter), Phi-2 (Microsoft), and Mixtral (Mistral). These results should be seen as part of the definitional process, a learning moment; they are not certifications of any kind. OSI will continue to validate only legal documents and will not validate or review individual AI systems, just as it does not validate or review software projects. What’s the next step? The Open Source AI Definition reflects a thoughtful and inclusive process endorsed by leading AI developers, researchers and practitioners. It culminates in a first step represented in version 1.0 of the OSAID. The definition acknowledges that AI fundamentally differs from software and requires a tailored approach. Misunderstandings about the OSAID often arise from attempts to apply software engineering paradigms to AI, leading to confusion. By embracing the unique characteristics of AI systems, the OSAID offers a robust framework for fostering transparency, innovation and collaboration in AI development. As we navigate AI’s evolving landscape, it is crucial to engage thoughtfully and constructively with these definitions. By doing so, we can ensure that AI systems remain open, accessible and aligned with the principles of the broader Open Source movement. Our work is only possible thanks to our members. Join us today! Get involved Mastodon Twitter LinkedIn Reddit About About Our team Board of directors Sponsors Programs Blog Press mentions Trademark Bylaws Licenses Open Source Definition Licenses License Review Process Open Standards Requirement for Software Open Source AI Open Source AI OSAI Definition Process Timeline Open Weights FAQ Checklist Forum Community Become an Individual Member Become an OSI Affiliate Affiliate Organizations Maintainers Events Forum OpenSource.net The content on this website, of which Opensource.org is the author, is licensed under a Creative Commons Attribution 4.0 International License . Opensource.org is not the author of any of the licenses reproduced on this site. Questions about the copyright in a license should be directed to the license steward. 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https://vibe.forem.com/mroshank/cant-play-game-cos-of-ads-so-i-made-my-own-game-ai-studio-3i1d | Cant play game cos of Ads so I made my own Game - Ai Studio - Vibe Coding 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 Vibe Coding 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 Mohamed Roshan Posted on Nov 29, 2025 Cant play game cos of Ads so I made my own Game - Ai Studio # ai # gemini # vibecoding I recently downloaded the Ball Sort game which was infested with ads for every move and level. Got me really frustrated which made me think why not vibe code one Opened up my Ai Studio and started giving different prompts about the design preferences and rules I wanted and unlike other vibe coding platform this time ai studio followed all of my instructions and after a few iterations back and forth I got my very own game ChromaSort It was pretty straight forward and took me a few weeks to complete as it was just a fun lil side project. Also the game additionally has no login nonsense or anything. Your progress is simply cached on your device, unlike a lot of these tiny casual games that somehow still want your email. The stuff that makes it cooler : I made sure no two players ever get the same color combo every level is completely random. That way, I can come back anytime and still get a fresh challenge. What about hosting it ? I have my own e2 micro vm that handles all my fun lil side projects along with my portfolio website. I have set up a Github Action pipeline for deployment + CloudFlare as a proxy and Nginx to handle different routes within the VM hehe. Check out ChromaSort 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 Mohamed Roshan Follow Trying my hands on things by breaking, building and trying out new tools. Currently focused on cloud and infra Work Production Engineer Joined Apr 25, 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 Vibe Coding Forem — Discussing AI software development, and showing off what we're building. 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 . Vibe Coding Forem © 2025 - 2026. Where anyone can code, with a bit of creativity and some AI help. Log in Create account | 2026-01-13T08:49:40 |
https://vibe.forem.com/santino_ | Santino - Vibe Coding 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 Vibe Coding Forem Close Follow User actions Santino I make cool stuff (i guess) Joined Joined on Dec 19, 2025 More info about @santino_ Badges Writing Debut Awarded for writing and sharing your first DEV post! Continue sharing your work to earn the 4 Week Writing Streak Badge. Got it Close Post 1 post published Comment 0 comments written Tag 2 tags followed I built a text to speech API with voice cloning n RapidAPI, looking for feedback Santino Santino Santino Follow Dec 19 '25 I built a text to speech API with voice cloning n RapidAPI, looking for feedback # buildinpublic # synth # api # ai 1 reaction 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 Vibe Coding Forem — Discussing AI software development, and showing off what we're building. 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 . Vibe Coding Forem © 2025 - 2026. Where anyone can code, with a bit of creativity and some AI help. Log in Create account | 2026-01-13T08:49:40 |
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https://opensource.org/license/gpl-2-0 | GNU General Public License version 2 – 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 Popular / Strong Community GNU General Public License version 2 Version 2.0 SPDX short identifier: GPL-2.0 Steward: Free Software Foundation Copyright (C) 1989, 1991 Free Software Foundation, Inc. 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA Everyone is permitted to copy and distribute verbatim copies of this license document, but changing it is not allowed. Preamble The licenses for most software are designed to take away your freedom to share and change it. By contrast, the GNU General Public License is intended to guarantee your freedom to share and change free software–to make sure the software is free for all its users. This General Public License applies to most of the Free Software Foundation’s software and to any other program whose authors commit to using it. (Some other Free Software Foundation software is covered by the GNU Library General Public License instead.) You can apply it to your programs, too. When we speak of free software, we are referring to freedom, not price. Our General Public Licenses are designed to make sure that you have the freedom to distribute copies of free software (and charge for this service if you wish), that you receive source code or can get it if you want it, that you can change the software or use pieces of it in new free programs; and that you know you can do these things. To protect your rights, we need to make restrictions that forbid anyone to deny you these rights or to ask you to surrender the rights. These restrictions translate to certain responsibilities for you if you distribute copies of the software, or if you modify it. For example, if you distribute copies of such a program, whether gratis or for a fee, you must give the recipients all the rights that you have. You must make sure that they, too, receive or can get the source code. And you must show them these terms so they know their rights. We protect your rights with two steps: (1) copyright the software, and (2) offer you this license which gives you legal permission to copy, distribute and/or modify the software. Also, for each author’s protection and ours, we want to make certain that everyone understands that there is no warranty for this free software. If the software is modified by someone else and passed on, we want its recipients to know that what they have is not the original, so that any problems introduced by others will not reflect on the original authors’ reputations. Finally, any free program is threatened constantly by software patents. We wish to avoid the danger that redistributors of a free program will individually obtain patent licenses, in effect making the program proprietary. To prevent this, we have made it clear that any patent must be licensed for everyone’s free use or not licensed at all. The precise terms and conditions for copying, distribution and modification follow. TERMS AND CONDITIONS FOR COPYING, DISTRIBUTION AND MODIFICATION 0 . This License applies to any program or other work which contains a notice placed by the copyright holder saying it may be distributed under the terms of this General Public License. The “Program”, below, refers to any such program or work, and a “work based on the Program” means either the Program or any derivative work under copyright law: that is to say, a work containing the Program or a portion of it, either verbatim or with modifications and/or translated into another language. (Hereinafter, translation is included without limitation in the term “modification”.) Each licensee is addressed as “you”. Activities other than copying, distribution and modification are not covered by this License; they are outside its scope. The act of running the Program is not restricted, and the output from the Program is covered only if its contents constitute a work based on the Program (independent of having been made by running the Program). Whether that is true depends on what the Program does. 1 . You may copy and distribute verbatim copies of the Program’s source code as you receive it, in any medium, provided that you conspicuously and appropriately publish on each copy an appropriate copyright notice and disclaimer of warranty; keep intact all the notices that refer to this License and to the absence of any warranty; and give any other recipients of the Program a copy of this License along with the Program. You may charge a fee for the physical act of transferring a copy, and you may at your option offer warranty protection in exchange for a fee. 2 . You may modify your copy or copies of the Program or any portion of it, thus forming a work based on the Program, and copy and distribute such modifications or work under the terms of Section 1 above, provided that you also meet all of these conditions: a) You must cause the modified files to carry prominent notices stating that you changed the files and the date of any change. b) You must cause any work that you distribute or publish, that in whole or in part contains or is derived from the Program or any part thereof, to be licensed as a whole at no charge to all third parties under the terms of this License. c) If the modified program normally reads commands interactively when run, you must cause it, when started running for such interactive use in the most ordinary way, to print or display an announcement including an appropriate copyright notice and a notice that there is no warranty (or else, saying that you provide a warranty) and that users may redistribute the program under these conditions, and telling the user how to view a copy of this License. (Exception: if the Program itself is interactive but does not normally print such an announcement, your work based on the Program is not required to print an announcement.) These requirements apply to the modified work as a whole. If identifiable sections of that work are not derived from the Program, and can be reasonably considered independent and separate works in themselves, then this License, and its terms, do not apply to those sections when you distribute them as separate works. But when you distribute the same sections as part of a whole which is a work based on the Program, the distribution of the whole must be on the terms of this License, whose permissions for other licensees extend to the entire whole, and thus to each and every part regardless of who wrote it. Thus, it is not the intent of this section to claim rights or contest your rights to work written entirely by you; rather, the intent is to exercise the right to control the distribution of derivative or collective works based on the Program. In addition, mere aggregation of another work not based on the Program with the Program (or with a work based on the Program) on a volume of a storage or distribution medium does not bring the other work under the scope of this License. 3 . You may copy and distribute the Program (or a work based on it, under Section 2) in object code or executable form under the terms of Sections 1 and 2 above provided that you also do one of the following: a) Accompany it with the complete corresponding machine-readable source code, which must be distributed under the terms of Sections 1 and 2 above on a medium customarily used for software interchange; or, b) Accompany it with a written offer, valid for at least three years, to give any third party, for a charge no more than your cost of physically performing source distribution, a complete machine-readable copy of the corresponding source code, to be distributed under the terms of Sections 1 and 2 above on a medium customarily used for software interchange; or, c) Accompany it with the information you received as to the offer to distribute corresponding source code. (This alternative is allowed only for noncommercial distribution and only if you received the program in object code or executable form with such an offer, in accord with Subsection b above.) The source code for a work means the preferred form of the work for making modifications to it. For an executable work, complete source code means all the source code for all modules it contains, plus any associated interface definition files, plus the scripts used to control compilation and installation of the executable. However, as a special exception, the source code distributed need not include anything that is normally distributed (in either source or binary form) with the major components (compiler, kernel, and so on) of the operating system on which the executable runs, unless that component itself accompanies the executable. If distribution of executable or object code is made by offering access to copy from a designated place, then offering equivalent access to copy the source code from the same place counts as distribution of the source code, even though third parties are not compelled to copy the source along with the object code. 4 . You may not copy, modify, sublicense, or distribute the Program except as expressly provided under this License. Any attempt otherwise to copy, modify, sublicense or distribute the Program is void, and will automatically terminate your rights under this License. However, parties who have received copies, or rights, from you under this License will not have their licenses terminated so long as such parties remain in full compliance. 5 . You are not required to accept this License, since you have not signed it. However, nothing else grants you permission to modify or distribute the Program or its derivative works. These actions are prohibited by law if you do not accept this License. Therefore, by modifying or distributing the Program (or any work based on the Program), you indicate your acceptance of this License to do so, and all its terms and conditions for copying, distributing or modifying the Program or works based on it. 6 . Each time you redistribute the Program (or any work based on the Program), the recipient automatically receives a license from the original licensor to copy, distribute or modify the Program subject to these terms and conditions. You may not impose any further restrictions on the recipients’ exercise of the rights granted herein. You are not responsible for enforcing compliance by third parties to this License. 7 . If, as a consequence of a court judgment or allegation of patent infringement or for any other reason (not limited to patent issues), conditions are imposed on you (whether by court order, agreement or otherwise) that contradict the conditions of this License, they do not excuse you from the conditions of this License. If you cannot distribute so as to satisfy simultaneously your obligations under this License and any other pertinent obligations, then as a consequence you may not distribute the Program at all. For example, if a patent license would not permit royalty-free redistribution of the Program by all those who receive copies directly or indirectly through you, then the only way you could satisfy both it and this License would be to refrain entirely from distribution of the Program. If any portion of this section is held invalid or unenforceable under any particular circumstance, the balance of the section is intended to apply and the section as a whole is intended to apply in other circumstances. It is not the purpose of this section to induce you to infringe any patents or other property right claims or to contest validity of any such claims; this section has the sole purpose of protecting the integrity of the free software distribution system, which is implemented by public license practices. Many people have made generous contributions to the wide range of software distributed through that system in reliance on consistent application of that system; it is up to the author/donor to decide if he or she is willing to distribute software through any other system and a licensee cannot impose that choice. This section is intended to make thoroughly clear what is believed to be a consequence of the rest of this License. 8 . If the distribution and/or use of the Program is restricted in certain countries either by patents or by copyrighted interfaces, the original copyright holder who places the Program under this License may add an explicit geographical distribution limitation excluding those countries, so that distribution is permitted only in or among countries not thus excluded. In such case, this License incorporates the limitation as if written in the body of this License. 9 . The Free Software Foundation may publish revised and/or new versions of the General Public License from time to time. Such new versions will be similar in spirit to the present version, but may differ in detail to address new problems or concerns. Each version is given a distinguishing version number. If the Program specifies a version number of this License which applies to it and “any later version”, you have the option of following the terms and conditions either of that version or of any later version published by the Free Software Foundation. If the Program does not specify a version number of this License, you may choose any version ever published by the Free Software Foundation. 10 . If you wish to incorporate parts of the Program into other free programs whose distribution conditions are different, write to the author to ask for permission. For software which is copyrighted by the Free Software Foundation, write to the Free Software Foundation; we sometimes make exceptions for this. Our decision will be guided by the two goals of preserving the free status of all derivatives of our free software and of promoting the sharing and reuse of software generally. NO WARRANTY 11 . BECAUSE THE PROGRAM IS LICENSED FREE OF CHARGE, THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY APPLICABLE LAW. EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM “AS IS” WITHOUT WARRANTY OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM IS WITH YOU. SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF ALL NECESSARY SERVICING, REPAIR OR CORRECTION. 12 . IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MAY MODIFY AND/OR REDISTRIBUTE THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS), EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGES. END OF TERMS AND CONDITIONS How to Apply These Terms to Your New Programs If you develop a new program, and you want it to be of the greatest possible use to the public, the best way to achieve this is to make it free software which everyone can redistribute and change under these terms. To do so, attach the following notices to the program. It is safest to attach them to the start of each source file to most effectively convey the exclusion of warranty; and each file should have at least the “copyright” line and a pointer to where the full notice is found. One line to give the program’s name and a brief idea of what it does. Copyright (C) <year> <name of author> This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program; if not, write to the Free Software Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA Also add information on how to contact you by electronic and paper mail. If the program is interactive, make it output a short notice like this when it starts in an interactive mode: Gnomovision version 69, Copyright (C) year name of author Gnomovision comes with ABSOLUTELY NO WARRANTY; for details type `show w’. This is free software, and you are welcome to redistribute it under certain conditions; type `show c’ for details. The hypothetical commands `show w’ and `show c’ should show the appropriate parts of the General Public License. Of course, the commands you use may be called something other than `show w’ and `show c’; they could even be mouse-clicks or menu items–whatever suits your program. You should also get your employer (if you work as a programmer) or your school, if any, to sign a “copyright disclaimer” for the program, if necessary. Here is a sample; alter the names: Yoyodyne, Inc., hereby disclaims all copyright interest in the program `Gnomovision’ (which makes passes at compilers) written by James Hacker. signature of Ty Coon, 1 April 1989 Ty Coon, President of Vice This General Public License does not permit incorporating your program into proprietary programs. If your program is a subroutine library, you may consider it more useful to permit linking proprietary applications with the library. If this is what you want to do, use the GNU Library General Public License instead of this License. Donate to the OSI The OSI is the authority that defines Open Source, recognized globally by individuals, companies, and public institutions. 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The technical storage or access that is used exclusively for anonymous statistical purposes. Without a subpoena, voluntary compliance on the part of your Internet Service Provider, or additional records from a third party, information stored or retrieved for this purpose alone cannot usually be used to identify you. Marketing Marketing The technical storage or access is required to create user profiles to send advertising, or to track the user on a website or across several websites for similar marketing purposes. Manage options Manage services Manage {vendor_count} vendors Read more about these purposes Accept Deny View preferences Save preferences View preferences {title} {title} {title} Manage consent | 2026-01-13T08:49:40 |
https://vibe.forem.com/anthony_lee_63e96408d7573/context-mesh-lite-hybrid-vector-search-sql-search-graph-search-fused-for-super-accurate-rag-25kn#comments | Context Mesh Lite: Hybrid Vector Search + SQL Search + Graph Search Fused (for Super Accurate RAG) - Vibe Coding 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 Vibe Coding 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 Anthony Lee Posted on Dec 23, 2025 Context Mesh Lite: Hybrid Vector Search + SQL Search + Graph Search Fused (for Super Accurate RAG) # gemini # serverless # database # ai I spent WAYYY too long trying to build a more accurate RAG retrieval system. With Context Mesh Lite, I managed to combine hybrid vector search with SQL search (agentic text-to-sql) with graph search (shallow graph using dependent tables). The results were a significantly more accurate (albeit slower) RAG system. How does it work? SQL Functions do most of the heavy lifting, creating tables and table dependencies. Then Edge Functions call Gemini (embeddings 001 and 2.5 flash) to create vector embeddings and graph entity/predicate extraction. REQUIREMENTS: This system was built to exist within a Supabase instance. It also requires a Gemini API key (set in your Edge Functions window). I also connected the system to n8n workflows and it works like a charm. Anyway, I'm gonna give it to you. Maybe it'll be useful. Maybe you can improve on it. So, first, go to your Supabase (the entire end-to-end system exists there...only the interface for document upsert and chat are external). Step 1 . Go to the SQL editor and paste this master query: -- =============================================================== -- CONTEXT MESH V9.0: GOLDEN MASTER (COMPOSITE RETRIEVAL) -- UPDATED: Nov 25, 2025 -- =============================================================== -- PART 1: EXTENSIONS -- PART 2: STORAGE CONFIGURATION -- PART 3: CORE TABLES (Docs, Graph, Queue, Config, Registry) -- PART 4: INDEXES -- PART 5: HELPER FUNCTIONS & TRIGGERS -- PART 6: INGESTION FUNCTIONS (Universal V8 Logic) -- PART 7: SEARCH FUNCTIONS (V9: FTS, Enrichment, Detection, Peek) -- PART 8: CONFIGURATION LOGIC (V9 Weights) -- PART 9: GRAPH CONTEXT RERANKER -- PART 10: WORKER SETUP -- PART 11: PERMISSIONS & REPAIRS -- =============================================================== -- =============================================================== -- PART 1: EXTENSIONS -- =============================================================== CREATE EXTENSION IF NOT EXISTS vector; CREATE EXTENSION IF NOT EXISTS pg_trgm; CREATE EXTENSION IF NOT EXISTS pg_net; -- Required for Async Worker -- =============================================================== -- PART 2: STORAGE CONFIGURATION -- =============================================================== INSERT INTO storage.buckets (id, name, public) VALUES ('raw_uploads', 'raw_uploads', false) ON CONFLICT (id) DO NOTHING; DROP POLICY IF EXISTS "Service Role Full Access" ON storage.objects; CREATE POLICY "Service Role Full Access" ON storage.objects FOR ALL USING ( auth.role() = 'service_role' ) WITH CHECK ( auth.role() = 'service_role' ); -- =============================================================== -- PART 3: CORE TABLES -- =============================================================== -- 3a. The Async Queue CREATE TABLE IF NOT EXISTS public.ingestion_queue ( id uuid default gen_random_uuid() primary key, uri text not null, title text not null, chunk_index int not null, chunk_text text not null, status text default 'pending', error_log text, created_at timestamptz default now() ); -- 3b. RAG Tables CREATE TABLE IF NOT EXISTS public.document ( id BIGSERIAL PRIMARY KEY, uri TEXT NOT NULL UNIQUE, title TEXT NOT NULL, doc_type TEXT NOT NULL DEFAULT 'document', meta JSONB NOT NULL DEFAULT '{}'::jsonb, created_at TIMESTAMPTZ NOT NULL DEFAULT now() ); CREATE TABLE IF NOT EXISTS public.chunk ( id BIGSERIAL PRIMARY KEY, document_id BIGINT NOT NULL REFERENCES public.document(id) ON DELETE CASCADE, ordinal INT NOT NULL, text TEXT NOT NULL, tsv TSVECTOR, UNIQUE (document_id, ordinal) ); -- PERFORMANCE: Using halfvec(768) for Gemini embeddings CREATE TABLE IF NOT EXISTS public.chunk_embedding ( chunk_id BIGINT PRIMARY KEY REFERENCES public.chunk(id) ON DELETE CASCADE, embedding halfvec(768) NOT NULL ); -- 3c. Graph Tables CREATE TABLE IF NOT EXISTS public.node ( id BIGSERIAL PRIMARY KEY, key TEXT UNIQUE NOT NULL, labels TEXT[] NOT NULL DEFAULT '{}', props JSONB NOT NULL DEFAULT '{}'::jsonb ); CREATE TABLE IF NOT EXISTS public.edge ( src BIGINT NOT NULL REFERENCES public.node(id) ON DELETE CASCADE, dst BIGINT NOT NULL REFERENCES public.node(id) ON DELETE CASCADE, type TEXT NOT NULL, props JSONB NOT NULL DEFAULT '{}'::jsonb, PRIMARY KEY (src, dst, type) ); CREATE TABLE IF NOT EXISTS public.chunk_node ( chunk_id BIGINT NOT NULL REFERENCES public.chunk(id) ON DELETE CASCADE, node_id BIGINT NOT NULL REFERENCES public.node(id) ON DELETE CASCADE, rel TEXT NOT NULL DEFAULT 'MENTIONS', PRIMARY KEY (chunk_id, node_id, rel) ); -- 3d. Structured Data Registry (V8 Updated) CREATE TABLE IF NOT EXISTS public.structured_table ( id BIGSERIAL PRIMARY KEY, table_name TEXT NOT NULL UNIQUE, document_id BIGINT REFERENCES public.document(id) ON DELETE CASCADE, schema_def JSONB NOT NULL, row_count INT DEFAULT 0, -- V8 Metadata Columns description TEXT, column_semantics JSONB DEFAULT '{}'::jsonb, graph_hints JSONB DEFAULT '[]'::jsonb, sample_row JSONB, created_at TIMESTAMPTZ NOT NULL DEFAULT now(), updated_at TIMESTAMPTZ NOT NULL DEFAULT now() ); -- 3e. Configuration Table CREATE TABLE IF NOT EXISTS public.app_config ( id INT PRIMARY KEY DEFAULT 1, settings JSONB NOT NULL, updated_at TIMESTAMPTZ DEFAULT now(), CONSTRAINT single_row CHECK (id = 1) ); -- =============================================================== -- PART 4: INDEXES -- =============================================================== CREATE INDEX IF NOT EXISTS idx_queue_status ON public.ingestion_queue(status); CREATE INDEX IF NOT EXISTS document_type_idx ON public.document(doc_type); CREATE INDEX IF NOT EXISTS document_uri_idx ON public.document(uri); CREATE INDEX IF NOT EXISTS chunk_tsv_gin ON public.chunk USING GIN (tsv); CREATE INDEX IF NOT EXISTS chunk_doc_idx ON public.chunk(document_id); -- Embedding Index (HNSW) CREATE INDEX IF NOT EXISTS emb_hnsw_cos ON public.chunk_embedding USING HNSW (embedding halfvec_cosine_ops); -- Graph Indexes CREATE INDEX IF NOT EXISTS edge_src_idx ON public.edge (src); CREATE INDEX IF NOT EXISTS edge_dst_idx ON public.edge (dst); CREATE INDEX IF NOT EXISTS node_labels_gin ON public.node USING GIN (labels); CREATE INDEX IF NOT EXISTS node_props_gin ON public.node USING GIN (props); CREATE INDEX IF NOT EXISTS chunknode_node_idx ON public.chunk_node (node_id); CREATE INDEX IF NOT EXISTS chunknode_chunk_idx ON public.chunk_node (chunk_id); -- Registry Index CREATE INDEX IF NOT EXISTS idx_structured_table_active ON public.structured_table(table_name) WHERE row_count > 0; -- =============================================================== -- PART 5: HELPER FUNCTIONS & TRIGGERS -- =============================================================== -- 5a. Full Text Search Update Trigger CREATE OR REPLACE FUNCTION public.chunk_tsv_update() RETURNS trigger LANGUAGE plpgsql AS $$ DECLARE doc_title text; BEGIN SELECT d.title INTO doc_title FROM public.document d WHERE d.id = NEW.document_id; NEW.tsv := setweight(to_tsvector('english', coalesce(doc_title, '')), 'D') || setweight(to_tsvector('english', coalesce(NEW.text, '')), 'A'); RETURN NEW; END $$; DROP TRIGGER IF EXISTS chunk_tsv_trg ON public.chunk; CREATE TRIGGER chunk_tsv_trg BEFORE INSERT OR UPDATE OF text, document_id ON public.chunk FOR EACH ROW EXECUTE FUNCTION public.chunk_tsv_update(); -- 5b. Sanitize Table Names CREATE OR REPLACE FUNCTION public.sanitize_table_name(name TEXT) RETURNS TEXT LANGUAGE sql IMMUTABLE AS $$ SELECT 'tbl_' || regexp_replace(lower(trim(name)), '[^a-z0-9_]', '_', 'g'); $$; -- 5c. Data Extraction Helpers CREATE OR REPLACE FUNCTION public.extract_numeric(text TEXT, key TEXT) RETURNS NUMERIC LANGUAGE sql IMMUTABLE AS $$ SELECT (regexp_match(text, key || '\s*:\s*\$?([0-9,]+\.?[0-9]*)', 'i'))[1]::text::numeric; $$; -- 5d. Polymorphic Date Extraction (Supports Excel, ISO, US formats) -- 1. Text CREATE OR REPLACE FUNCTION public.extract_date(text TEXT) RETURNS DATE LANGUAGE plpgsql IMMUTABLE AS $$ BEGIN IF text ~ '^\d{5}$' THEN RETURN '1899-12-30'::date + (text::int); END IF; IF text ~ '\d{4}-\d{2}-\d{2}' THEN RETURN (regexp_match(text, '(\d{4}-\d{2}-\d{2})'))[1]::date; END IF; IF text ~ '\d{1,2}/\d{1,2}/\d{4}' THEN RETURN to_date((regexp_match(text, '(\d{1,2}/\d{1,2}/\d{4})'))[1], 'MM/DD/YYYY'); END IF; RETURN NULL; EXCEPTION WHEN OTHERS THEN RETURN NULL; END $$; -- 2. Numeric (Excel Serial) CREATE OR REPLACE FUNCTION public.extract_date(val NUMERIC) RETURNS DATE LANGUAGE plpgsql IMMUTABLE AS $$ BEGIN RETURN '1899-12-30'::date + (val::int); EXCEPTION WHEN OTHERS THEN RETURN NULL; END $$; -- 3. Integer CREATE OR REPLACE FUNCTION public.extract_date(val INTEGER) RETURNS DATE LANGUAGE plpgsql IMMUTABLE AS $$ BEGIN RETURN '1899-12-30'::date + val; EXCEPTION WHEN OTHERS THEN RETURN NULL; END $$; -- 4. Date (Pass-through) CREATE OR REPLACE FUNCTION public.extract_date(val DATE) RETURNS DATE LANGUAGE sql IMMUTABLE AS $$ SELECT val; $$; CREATE OR REPLACE FUNCTION public.extract_keywords(p_text TEXT) RETURNS TEXT[] LANGUAGE sql IMMUTABLE AS $$ SELECT array_agg(DISTINCT word) FROM ( SELECT unnest(tsvector_to_array(to_tsvector('english', p_text))) AS word ) words WHERE length(word) > 2 LIMIT 10; $$; -- 5e. Column Type Inference CREATE OR REPLACE FUNCTION public.infer_column_type(sample_values TEXT[]) RETURNS TEXT LANGUAGE plpgsql IMMUTABLE AS $$ DECLARE val TEXT; numeric_count INT := 0; date_count INT := 0; boolean_count INT := 0; total_non_null INT := 0; BEGIN FOR val IN SELECT unnest(sample_values) LOOP IF val IS NOT NULL AND val != '' THEN total_non_null := total_non_null + 1; IF lower(val) IN ('true', 'false', 'yes', 'no', 't', 'f', 'y', 'n', '1', '0') THEN boolean_count := boolean_count + 1; END IF; IF val ~ '\d+\s*x\s*\d+' THEN RETURN 'TEXT'; END IF; IF val ~ '\d+\s*(cm|mm|m|km|in|ft|yd|kg|g|mg|lb|oz|ml|l|gal)' THEN RETURN 'TEXT'; END IF; IF val ~ '^\$?-?[0-9,]+\.?[0-9]*$' THEN numeric_count := numeric_count + 1; END IF; IF val ~ '^\d{4}-\d{2}-\d{2}' OR val ~ '^\d{1,2}/\d{1,2}/\d{4}' OR val ~ '^\d{5}$' THEN date_count := date_count + 1; END IF; END IF; END LOOP; IF total_non_null = 0 THEN RETURN 'TEXT'; END IF; IF boolean_count::float / total_non_null > 0.8 THEN RETURN 'BOOLEAN'; END IF; IF numeric_count::float / total_non_null > 0.8 THEN RETURN 'NUMERIC'; END IF; IF date_count::float / total_non_null > 0.8 THEN RETURN 'DATE'; END IF; RETURN 'TEXT'; END $$; -- =============================================================== -- PART 6: INGESTION FUNCTIONS (RPC) -- =============================================================== -- 6a. Document Ingest (Standard) CREATE OR REPLACE FUNCTION public.ingest_document_chunk( p_uri TEXT, p_title TEXT, p_doc_meta JSONB, p_chunk JSONB, p_nodes JSONB, p_edges JSONB, p_mentions JSONB ) RETURNS JSONB LANGUAGE plpgsql SECURITY DEFINER SET search_path = public, pg_temp AS $$ DECLARE v_doc_id BIGINT; v_chunk_id BIGINT; v_node JSONB; v_edge JSONB; v_mention JSONB; v_src_id BIGINT; v_dst_id BIGINT; BEGIN INSERT INTO public.document(uri, title, doc_type, meta) VALUES (p_uri, p_title, 'document', COALESCE(p_doc_meta, '{}'::jsonb)) ON CONFLICT (uri) DO UPDATE SET title = EXCLUDED.title, meta = public.document.meta || EXCLUDED.meta RETURNING id INTO v_doc_id; INSERT INTO public.chunk(document_id, ordinal, text) VALUES (v_doc_id, (p_chunk->>'ordinal')::INT, p_chunk->>'text') ON CONFLICT (document_id, ordinal) DO UPDATE SET text = EXCLUDED.text RETURNING id INTO v_chunk_id; IF (p_chunk ? 'embedding') THEN INSERT INTO public.chunk_embedding(chunk_id, embedding) VALUES (v_chunk_id, (SELECT array_agg((e)::float4 ORDER BY ord) FROM jsonb_array_elements_text(p_chunk->'embedding') WITH ORDINALITY t(e, ord))::halfvec(768)) ON CONFLICT (chunk_id) DO UPDATE SET embedding = EXCLUDED.embedding; END IF; FOR v_node IN SELECT * FROM jsonb_array_elements(COALESCE(p_nodes, '[]'::jsonb)) LOOP INSERT INTO public.node(key, labels, props) VALUES (v_node->>'key', COALESCE((SELECT array_agg(l::TEXT) FROM jsonb_array_elements_text(v_node->'labels') l), '{}'), COALESCE(v_node->'props', '{}'::jsonb)) ON CONFLICT (key) DO UPDATE SET props = public.node.props || EXCLUDED.props; END LOOP; FOR v_edge IN SELECT * FROM jsonb_array_elements(COALESCE(p_edges, '[]'::jsonb)) LOOP SELECT id INTO v_src_id FROM public.node WHERE key = v_edge->>'src_key'; SELECT id INTO v_dst_id FROM public.node WHERE key = v_edge->>'dst_key'; IF v_src_id IS NOT NULL AND v_dst_id IS NOT NULL THEN INSERT INTO public.edge(src, dst, type, props) VALUES (v_src_id, v_dst_id, v_edge->>'type', COALESCE(v_edge->'props', '{}'::jsonb)) ON CONFLICT (src, dst, type) DO UPDATE SET props = public.edge.props || EXCLUDED.props; END IF; END LOOP; FOR v_mention IN SELECT * FROM jsonb_array_elements(COALESCE(p_mentions, '[]'::jsonb)) LOOP SELECT id INTO v_src_id FROM public.node WHERE key = v_mention->>'node_key'; IF v_chunk_id IS NOT NULL AND v_src_id IS NOT NULL THEN INSERT INTO public.chunk_node(chunk_id, node_id, rel) VALUES (v_chunk_id, v_src_id, COALESCE(v_mention->>'rel', 'MENTIONS')) ON CONFLICT (chunk_id, node_id, rel) DO NOTHING; END IF; END LOOP; RETURN jsonb_build_object('ok', true); END $$; -- 6b. Universal Spreadsheet Ingest (V8 Updated: Description Support) DROP FUNCTION IF EXISTS public.ingest_spreadsheet(text, text, text, jsonb, jsonb, jsonb, jsonb); CREATE OR REPLACE FUNCTION public.ingest_spreadsheet( p_uri TEXT, p_title TEXT, p_table_name TEXT, p_description TEXT, -- V8 Addition p_rows JSONB, p_schema JSONB, p_nodes JSONB, p_edges JSONB ) RETURNS JSONB LANGUAGE plpgsql SECURITY DEFINER SET search_path = public, pg_temp AS $$ DECLARE v_doc_id BIGINT; v_safe_name TEXT; v_col_name TEXT; v_inferred_type TEXT; v_cols TEXT[]; v_sample_values TEXT[]; v_row JSONB; v_node JSONB; v_edge JSONB; v_src_id BIGINT; v_dst_id BIGINT; v_table_exists BOOLEAN; v_all_columns TEXT[]; v_schema_def JSONB; BEGIN INSERT INTO public.document(uri, title, doc_type, meta) VALUES (p_uri, p_title, 'spreadsheet', jsonb_build_object('table_name', p_table_name)) ON CONFLICT (uri) DO UPDATE SET title = EXCLUDED.title RETURNING id INTO v_doc_id; v_safe_name := public.sanitize_table_name(p_table_name); SELECT EXISTS (SELECT FROM pg_tables WHERE schemaname = 'public' AND tablename = v_safe_name) INTO v_table_exists; IF NOT v_table_exists THEN -- Table Creation Logic SELECT array_agg(DISTINCT key ORDER BY key) INTO v_all_columns FROM jsonb_array_elements(p_rows) AS r, jsonb_object_keys(r) AS key; v_cols := ARRAY['id BIGSERIAL PRIMARY KEY']; FOREACH v_col_name IN ARRAY v_all_columns LOOP SELECT array_agg(kv.value::text) INTO v_sample_values FROM jsonb_array_elements(p_rows) r, jsonb_each_text(r) kv WHERE kv.key = v_col_name LIMIT 100; v_inferred_type := public.infer_column_type(COALESCE(v_sample_values, ARRAY[]::TEXT[])); v_cols := v_cols || format('%I %s', v_col_name, v_inferred_type); END LOOP; EXECUTE format('CREATE TABLE public.%I (%s)', v_safe_name, array_to_string(v_cols, ', ')); -- Permissions EXECUTE format('GRANT ALL ON TABLE public.%I TO service_role', v_safe_name); EXECUTE format('GRANT SELECT ON TABLE public.%I TO authenticated, anon', v_safe_name); SELECT jsonb_object_agg(col_name, 'TEXT') INTO v_schema_def FROM unnest(v_all_columns) AS col_name; END IF; -- Insert Rows FOR v_row IN SELECT * FROM jsonb_array_elements(p_rows) LOOP DECLARE v_k TEXT; v_v TEXT; v_cl TEXT[] := ARRAY[]::TEXT[]; v_vl TEXT[] := ARRAY[]::TEXT[]; BEGIN FOR v_k, v_v IN SELECT * FROM jsonb_each_text(v_row) LOOP v_cl := v_cl || quote_ident(v_k); v_vl := v_vl || quote_literal(v_v); END LOOP; IF array_length(v_cl, 1) > 0 THEN EXECUTE format('INSERT INTO public.%I (%s) VALUES (%s)', v_safe_name, array_to_string(v_cl, ', '), array_to_string(v_vl, ', ')); END IF; END; END LOOP; -- Upsert Registry (V8 with Description) INSERT INTO public.structured_table(table_name, document_id, schema_def, row_count, description) VALUES (v_safe_name, v_doc_id, COALESCE(v_schema_def, '{}'::jsonb), jsonb_array_length(p_rows), p_description) ON CONFLICT (table_name) DO UPDATE SET updated_at = now(), description = EXCLUDED.description; -- Upsert Graph Nodes FOR v_node IN SELECT * FROM jsonb_array_elements(COALESCE(p_nodes, '[]'::jsonb)) LOOP INSERT INTO public.node(key, labels, props) VALUES (v_node->>'key', COALESCE((SELECT array_agg(l::TEXT) FROM jsonb_array_elements_text(v_node->'labels') l), '{}'), COALESCE(v_node->'props', '{}'::jsonb)) ON CONFLICT (key) DO UPDATE SET props = public.node.props || EXCLUDED.props; END LOOP; -- Upsert Graph Edges FOR v_edge IN SELECT * FROM jsonb_array_elements(COALESCE(p_edges, '[]'::jsonb)) LOOP SELECT id INTO v_src_id FROM public.node WHERE key = v_edge->>'src_key'; SELECT id INTO v_dst_id FROM public.node WHERE key = v_edge->>'dst_key'; IF v_src_id IS NOT NULL AND v_dst_id IS NOT NULL THEN INSERT INTO public.edge(src, dst, type, props) VALUES (v_src_id, v_dst_id, v_edge->>'type', COALESCE(v_edge->'props', '{}'::jsonb)) ON CONFLICT (src, dst, type) DO UPDATE SET props = public.edge.props || EXCLUDED.props; END IF; END LOOP; RETURN jsonb_build_object('ok', true, 'table_name', v_safe_name); END $$; -- =============================================================== -- PART 7: SEARCH FUNCTIONS (UPDATED V9 - COMPOSITE RETRIEVAL) -- =============================================================== -- 7a. Vector Search CREATE OR REPLACE FUNCTION public.search_vector( p_embedding VECTOR(768), p_limit INT, p_threshold FLOAT8 DEFAULT 0.65 ) RETURNS TABLE(chunk_id BIGINT, content TEXT, score FLOAT8) LANGUAGE sql STABLE AS $$ SELECT ce.chunk_id, c.text as content, 1.0 / (1.0 + (ce.embedding <=> p_embedding)) AS score FROM public.chunk_embedding ce JOIN public.chunk c ON c.id = ce.chunk_id WHERE (1.0 / (1.0 + (ce.embedding <=> p_embedding))) >= p_threshold ORDER BY score DESC LIMIT p_limit; $$; -- 7b. Multi-Strategy Full-Text Search (V9) CREATE OR REPLACE FUNCTION public.search_fulltext( p_query text, p_limit integer ) RETURNS TABLE( chunk_id bigint, content text, score double precision ) LANGUAGE sql STABLE AS $$ WITH query_variants AS ( SELECT websearch_to_tsquery('english', p_query) AS tsq_websearch, plainto_tsquery('english', p_query) AS tsq_plain, to_tsquery('english', regexp_replace(p_query, '\s+', ' | ', 'g')) AS tsq_or ), results AS ( -- Strategy 1: Websearch (most precise) SELECT c.id AS chunk_id, c.text AS content, ts_rank_cd(c.tsv, q.tsq_websearch)::float8 AS score, 1 as strategy FROM public.chunk c CROSS JOIN query_variants q WHERE c.tsv @@ q.tsq_websearch UNION ALL -- Strategy 2: Plain text (more flexible) SELECT c.id AS chunk_id, c.text AS content, ts_rank_cd(c.tsv, q.tsq_plain)::float8 * 0.8 AS score, 2 as strategy FROM public.chunk c CROSS JOIN query_variants q WHERE c.tsv @@ q.tsq_plain AND NOT EXISTS ( SELECT 1 FROM public.chunk c2 CROSS JOIN query_variants q2 WHERE c2.id = c.id AND c2.tsv @@ q2.tsq_websearch ) UNION ALL -- Strategy 3: OR query (most flexible) SELECT c.id AS chunk_id, c.text AS content, ts_rank_cd(c.tsv, q.tsq_or)::float8 * 0.6 AS score, 3 as strategy FROM public.chunk c CROSS JOIN query_variants q WHERE c.tsv @@ q.tsq_or AND NOT EXISTS ( SELECT 1 FROM public.chunk c2 CROSS JOIN query_variants q2 WHERE c2.id = c.id AND (c2.tsv @@ q2.tsq_websearch OR c2.tsv @@ q2.tsq_plain) ) ) SELECT chunk_id, content, score FROM results ORDER BY score DESC LIMIT p_limit; $$; GRANT EXECUTE ON FUNCTION public.search_fulltext TO anon, authenticated, service_role; -- 7c. Table Peeking (V9: GENERIC FK DETECTION + REVERSE LOOKUP) CREATE OR REPLACE FUNCTION public.get_table_context(p_table_name TEXT) RETURNS JSONB LANGUAGE plpgsql SECURITY DEFINER SET search_path = public, pg_temp AS $$ DECLARE v_safe_name TEXT; v_columns TEXT; v_sample_row JSONB; v_description TEXT; v_semantics JSONB; v_categorical_values JSONB := '{}'::jsonb; v_related_tables JSONB := '[]'::jsonb; v_cat_col TEXT; v_cat_values JSONB; v_distinct_count INT; v_fk_col TEXT; v_ref_table TEXT; v_ref_table_exists BOOLEAN; v_join_col TEXT; v_ref_has_id BOOLEAN; v_ref_has_name BOOLEAN; v_reverse_rec RECORD; BEGIN v_safe_name := quote_ident(p_table_name); -- Get schema SELECT string_agg(column_name || ' (' || data_type || ')', ', ') INTO v_columns FROM information_schema.columns WHERE table_name = p_table_name AND table_schema = 'public'; -- Get sample row EXECUTE format('SELECT to_jsonb(t) FROM (SELECT * FROM public.%I LIMIT 1) t', v_safe_name) INTO v_sample_row; -- Get semantic metadata from structured_table SELECT description, column_semantics INTO v_description, v_semantics FROM public.structured_table WHERE table_name = p_table_name; -- Get categorical values for columns with status/type/category in name FOR v_cat_col IN SELECT column_name FROM information_schema.columns WHERE table_schema = 'public' AND table_name = p_table_name AND ( column_name LIKE '%status%' OR column_name LIKE '%type%' OR column_name LIKE '%category%' OR column_name LIKE '%state%' OR column_name LIKE '%priority%' OR column_name LIKE '%level%' ) LOOP BEGIN -- Check if column has reasonable number of distinct values EXECUTE format('SELECT COUNT(DISTINCT %I) FROM public.%I', v_cat_col, v_safe_name) INTO v_distinct_count; -- Only include if 20 or fewer distinct values IF v_distinct_count <= 20 THEN EXECUTE format('SELECT jsonb_agg(DISTINCT %I ORDER BY %I) FROM public.%I', v_cat_col, v_cat_col, v_safe_name) INTO v_cat_values; -- Add to categorical_values object v_categorical_values := v_categorical_values || jsonb_build_object(v_cat_col, v_cat_values); END IF; EXCEPTION WHEN OTHERS THEN -- Skip this column if any error CONTINUE; END; END LOOP; -- ======================================================================== -- PART 1: FORWARD FK DETECTION (this table references other tables) -- ======================================================================== FOR v_fk_col IN SELECT column_name FROM information_schema.columns WHERE table_schema = 'public' AND table_name = p_table_name AND ( column_name LIKE '%\_id' OR -- customer_id, warehouse_id, manager_id column_name LIKE '%\_name' -- manager_name, customer_name ) AND column_name != 'id' -- Skip primary key LOOP -- Infer referenced table name v_ref_table := regexp_replace(v_fk_col, '_(id|name)$', ''); -- Handle pluralization -- carriers → carrier, employees → employee, warehouses → warehouse IF v_ref_table ~ '(ss|us|ch|sh|x|z)es$' THEN v_ref_table := regexp_replace(v_ref_table, 'es$', ''); ELSIF v_ref_table ~ 'ies$' THEN v_ref_table := regexp_replace(v_ref_table, 'ies$', 'y'); ELSIF v_ref_table ~ 's$' THEN v_ref_table := regexp_replace(v_ref_table, 's$', ''); END IF; -- Add tbl_ prefix v_ref_table := 'tbl_' || v_ref_table; -- Check if referenced table exists SELECT EXISTS ( SELECT FROM pg_tables WHERE schemaname = 'public' AND tablename = v_ref_table ) INTO v_ref_table_exists; IF v_ref_table_exists THEN -- Determine join column in referenced table v_join_col := NULL; v_ref_has_id := FALSE; v_ref_has_name := FALSE; -- Check what columns the referenced table has IF v_fk_col LIKE '%\_id' THEN -- For FK columns ending in _id, look for matching ID column in ref table -- customer_id → look for customer_id in tbl_customers -- manager_id → look for employee_id in tbl_employees (special case) SELECT bool_or( column_name = v_fk_col OR column_name = regexp_replace(v_ref_table, '^tbl_', '') || '_id' ) INTO v_ref_has_id FROM information_schema.columns WHERE table_schema = 'public' AND table_name = v_ref_table; IF v_ref_has_id THEN -- Find the actual ID column name SELECT column_name INTO v_join_col FROM information_schema.columns WHERE table_schema = 'public' AND table_name = v_ref_table AND (column_name = v_fk_col OR column_name = regexp_replace(v_ref_table, '^tbl_', '') || '_id') LIMIT 1; END IF; END IF; IF v_fk_col LIKE '%\_name' THEN -- For FK columns ending in _name, look for 'name' column in ref table SELECT bool_or(column_name = 'name') INTO v_ref_has_name FROM information_schema.columns WHERE table_schema = 'public' AND table_name = v_ref_table; IF v_ref_has_name THEN v_join_col := 'name'; END IF; END IF; -- If we found a valid join column, add to related tables IF v_join_col IS NOT NULL THEN v_related_tables := v_related_tables || jsonb_build_array( jsonb_build_object( 'table', v_ref_table, 'fk_column', v_fk_col, 'join_on', format('%I.%I = %I.%I', p_table_name, v_fk_col, v_ref_table, v_join_col), 'useful_columns', 'Details from ' || v_ref_table, 'use_when', format('Query mentions %s or asks about %s details', regexp_replace(v_ref_table, '^tbl_', ''), regexp_replace(v_fk_col, '_(id|name)$', '')) ) ); END IF; END IF; END LOOP; -- ======================================================================== -- PART 2: REVERSE FK DETECTION (other tables reference this table) -- ======================================================================== -- Example: tbl_employees should know that tbl_warehouses.manager_name references it FOR v_reverse_rec IN SELECT DISTINCT c.table_name, c.column_name, c.data_type FROM information_schema.columns c WHERE c.table_schema = 'public' AND c.table_name LIKE 'tbl_%' AND c.table_name != p_table_name AND ( c.column_name LIKE '%\_id' OR c.column_name LIKE '%\_name' ) LOOP v_ref_table := v_reverse_rec.table_name; v_fk_col := v_reverse_rec.column_name; v_join_col := NULL; -- Extract the base entity name from the foreign key column -- manager_id → manager, customer_name → customer DECLARE v_base_entity TEXT; v_current_table_entity TEXT; BEGIN v_base_entity := regexp_replace(v_fk_col, '_(id|name)$', ''); v_current_table_entity := regexp_replace(p_table_name, '^tbl_', ''); -- Normalize pluralization for comparison IF v_current_table_entity ~ 's$' THEN v_current_table_entity := regexp_replace(v_current_table_entity, 's$', ''); END IF; -- Check if this FK might reference the current table -- Examples: -- manager → employee (tbl_warehouses.manager_name → tbl_employees.name) -- customer → customer (tbl_orders.customer_id → tbl_customers.customer_id) -- employee → employee (tbl_employees.manager_id → tbl_employees.employee_id) IF v_base_entity = v_current_table_entity OR (v_base_entity = 'manager' AND v_current_table_entity = 'employee') OR (v_base_entity = 'employee' AND v_current_table_entity = 'employee') THEN -- Determine what column in current table this FK should join to IF v_fk_col LIKE '%\_id' THEN -- Look for matching ID column in current table SELECT column_name INTO v_join_col FROM information_schema.columns WHERE table_schema = 'public' AND table_name = p_table_name AND ( column_name = v_fk_col OR column_name = p_table_name || '_id' OR column_name = regexp_replace(p_table_name, '^tbl_', '') || '_id' ) LIMIT 1; ELSIF v_fk_col LIKE '%\_name' THEN -- Look for 'name' column in current table SELECT column_name INTO v_join_col FROM information_schema.columns WHERE table_schema = 'public' AND table_name = p_table_name AND column_name = 'name' LIMIT 1; END IF; -- If we found a matching join column, add to related tables IF v_join_col IS NOT NULL THEN -- Check if this relationship already exists (avoid duplicates from forward pass) IF NOT EXISTS ( SELECT 1 FROM jsonb_array_elements(v_related_tables) elem WHERE elem->>'table' = v_ref_table AND elem->>'fk_column' = v_fk_col ) THEN v_related_tables := v_related_tables || jsonb_build_array( jsonb_build_object( 'table', v_ref_table, 'fk_column', v_fk_col, 'join_on', format('%I.%I = %I.%I', p_table_name, v_join_col, v_ref_table, v_fk_col), 'useful_columns', 'Details from ' || v_ref_table, 'use_when', format('Query asks about %s that reference %s', regexp_replace(v_ref_table, '^tbl_', ''), regexp_replace(p_table_name, '^tbl_', '')) ) ); END IF; END IF; END IF; END; END LOOP; RETURN jsonb_build_object( 'table', p_table_name, 'schema', v_columns, 'sample', COALESCE(v_sample_row, '{}'::jsonb), 'description', v_description, 'column_semantics', COALESCE(v_semantics, '{}'::jsonb), 'categorical_values', v_categorical_values, 'related_tables', v_related_tables ); EXCEPTION WHEN OTHERS THEN RETURN jsonb_build_object('error', SQLERRM); END $$; GRANT EXECUTE ON FUNCTION public.get_table_context(text) TO service_role, authenticated, anon; -- 7d. Hybrid Graph Search CREATE OR REPLACE FUNCTION public.search_graph_hybrid( p_entities TEXT[], p_actions TEXT[], p_limit INT DEFAULT 20 ) RETURNS TABLE(chunk_id BIGINT, content TEXT, score FLOAT8, strategy TEXT) LANGUAGE plpgsql STABLE AS $$ DECLARE v_has_actions BOOLEAN; BEGIN v_has_actions := (array_length(p_actions, 1) > 0); RETURN QUERY WITH relevant_nodes AS ( SELECT id FROM public.node WHERE EXISTS ( SELECT 1 FROM unnest(p_entities) entity WHERE public.node.key ILIKE '%' || entity || '%' OR public.node.props->>'name' ILIKE '%' || entity || '%' ) ), relevant_edges AS ( SELECT e.src, e.dst, e.type, CASE WHEN s.id IS NOT NULL AND d.id IS NOT NULL THEN 'entity-entity' ELSE 'entity-action' END as match_strategy, CASE WHEN s.id IS NOT NULL AND d.id IS NOT NULL THEN 2.0 ELSE 1.5 END as base_score FROM public.edge e LEFT JOIN relevant_nodes s ON e.src = s.id LEFT JOIN relevant_nodes d ON e.dst = d.id WHERE (s.id IS NOT NULL AND d.id IS NOT NULL) OR (v_has_actions AND (s.id IS NOT NULL OR d.id IS NOT NULL) AND EXISTS (SELECT 1 FROM unnest(p_actions) act WHERE e.type ILIKE act || '%') ) ), hits AS ( SELECT cn.chunk_id, count(*) as mention_count, max(base_score) as max_strategy_score, string_agg(DISTINCT match_strategy, ', ') as strategies FROM relevant_edges re JOIN public.chunk_node cn ON cn.node_id = re.src GROUP BY cn.chunk_id ) SELECT h.chunk_id, c.text as content, (log(h.mention_count + 1) * h.max_strategy_score)::float8 AS score, h.strategies::text as strategy FROM hits h JOIN public.chunk c ON c.id = h.chunk_id ORDER BY score DESC LIMIT p_limit; END $$; -- 7e. Legacy Targeted Graph Search (RESTORED FOR COMPLETENESS) CREATE OR REPLACE FUNCTION public.search_graph_targeted( p_entities TEXT[], p_actions TEXT[], p_limit INT DEFAULT 20 ) RETURNS TABLE(chunk_id BIGINT, content TEXT, score FLOAT8) LANGUAGE plpgsql STABLE AS $$ DECLARE v_has_actions BOOLEAN; BEGIN v_has_actions := (array_length(p_actions, 1) > 0); RETURN QUERY WITH relevant_nodes AS ( SELECT id, props->>'name' as name FROM public.node WHERE EXISTS ( SELECT 1 FROM unnest(p_entities) entity WHERE public.node.key ILIKE '%' || entity || '%' OR public.node.props->>'name' ILIKE '%' || entity || '%' ) ), relevant_edges AS ( SELECT e.src, e.dst, e.type FROM public.edge e JOIN relevant_nodes rn ON e.src = rn.id ), hits AS ( SELECT cn.chunk_id, count(*) as mention_count FROM relevant_edges re JOIN public.chunk_node cn ON cn.node_id = re.src GROUP BY cn.chunk_id ) SELECT h.chunk_id, c.text as content, (log(h.mention_count + 1) * 1.5)::float8 AS score FROM hits h JOIN public.chunk c ON c.id = h.chunk_id ORDER BY score DESC LIMIT p_limit; END $$; -- 7f. Graph Neighborhood (Update 4: Security Definer / Case Insensitive) DROP FUNCTION IF EXISTS public.get_graph_neighborhood(text[]); CREATE OR REPLACE FUNCTION public.get_graph_neighborhood( p_entity_names TEXT[] ) RETURNS TABLE(subject TEXT, action TEXT, object TEXT, context JSONB) LANGUAGE plpgsql SECURITY DEFINER SET search_path = public, pg_temp AS $$ BEGIN RETURN QUERY WITH target_nodes AS ( SELECT id, key, props->>'name' as name FROM public.node WHERE -- 1. Direct Key Match key = ANY(p_entity_names) -- 2. Name Match (Case Insensitive, Trimmed) OR lower(trim(props->>'name')) = ANY( SELECT lower(trim(x)) FROM unnest(p_entity_names) x ) -- 3. Fuzzy Match (Substring) OR EXISTS ( SELECT 1 FROM unnest(p_entity_names) term WHERE length(term) > 3 AND public.node.props->>'name' ILIKE '%' || term || '%' ) ) -- Outgoing Edges SELECT n1.props->>'name', e.type, n2.props->>'name', e.props FROM target_nodes tn JOIN public.edge e ON tn.id = e.src JOIN public.node n1 ON e.src = n1.id JOIN public.node n2 ON e.dst = n2.id UNION ALL -- Incoming Edges SELECT n1.props->>'name', e.type, n2.props->>'name', e.props FROM target_nodes tn JOIN public.edge e ON tn.id = e.dst JOIN public.node n1 ON e.src = n1.id JOIN public.node n2 ON e.dst = n2.id; END $$; GRANT EXECUTE ON FUNCTION public.get_graph_neighborhood(text[]) TO service_role, authenticated, anon; -- 7g. Structured Search (Safe V6.1) DROP FUNCTION IF EXISTS public.search_structured(text, int); CREATE OR REPLACE FUNCTION public.search_structured(p_query_sql TEXT, p_limit INT DEFAULT 20) RETURNS TABLE(table_name TEXT, row_data JSONB, score FLOAT8, rank INT) LANGUAGE plpgsql SECURITY DEFINER SET search_path = public, pg_temp AS $$ DECLARE v_sql TEXT; BEGIN IF p_query_sql IS NULL OR length(trim(p_query_sql)) = 0 THEN RETURN; END IF; v_sql := p_query_sql; -- Sanitization v_sql := regexp_replace(v_sql, '(\W)to\.([a-zA-Z0-9_]+)', '\1t_orders.\2', 'g'); v_sql := regexp_replace(v_sql, '\s+to\s+ON\s+', ' t_orders ON ', 'gi'); v_sql := regexp_replace(v_sql, '\s+AS\s+to\s+', ' AS t_orders ', 'gi'); v_sql := regexp_replace(v_sql, 'tbl_orders\s+to\s+', 'tbl_orders t_orders ', 'gi'); v_sql := regexp_replace(v_sql, '[;\s]+$', ''); RETURN QUERY EXECUTE format( 'WITH user_query AS (%s) SELECT ''result''::text AS table_name, to_jsonb(user_query.*) AS row_data, 1.0::float8 AS score, (row_number() OVER ())::int AS rank FROM user_query LIMIT %s', v_sql, p_limit ); EXCEPTION WHEN OTHERS THEN RETURN QUERY SELECT 'ERROR'::text, jsonb_build_object('msg', SQLERRM, 'sql', v_sql), 1.0, 1; END $$; GRANT EXECUTE ON FUNCTION public.search_structured(text, int) TO service_role, authenticated, anon; -- 7h. Smart Entity Detection (V9 - Composite Retrieval) CREATE OR REPLACE FUNCTION public.detect_query_entities( p_query TEXT ) RETURNS TABLE( entity_type TEXT, table_name TEXT, key_column TEXT, key_value TEXT ) LANGUAGE plpgsql AS $$ BEGIN -- Detect ORDER IDs (O followed by 5 digits) IF p_query ~* 'O\d{5}' THEN RETURN QUERY SELECT 'order'::TEXT, 'tbl_orders'::TEXT, 'order_id'::TEXT, (regexp_match(p_query, '(O\d{5})', 'i'))[1]::TEXT; END IF; -- Detect CUSTOMER IDs (CU followed by 3 digits) IF p_query ~* 'CU\d{3}' THEN RETURN QUERY SELECT 'customer'::TEXT, 'tbl_customers'::TEXT, 'customer_id'::TEXT, (regexp_match(p_query, '(CU\d{3})', 'i'))[1]::TEXT; END IF; -- Detect EMPLOYEE IDs (E followed by 3 digits) IF p_query ~* 'E\d{3}' THEN RETURN QUERY SELECT 'employee'::TEXT, 'tbl_employees'::TEXT, 'employee_id'::TEXT, (regexp_match(p_query, '(E\d{3})', 'i'))[1]::TEXT; END IF; -- Detect WAREHOUSE IDs (WH followed by 3 digits) IF p_query ~* 'WH\d{3}' THEN RETURN QUERY SELECT 'warehouse'::TEXT, 'tbl_warehouses'::TEXT, 'warehouse_id'::TEXT, (regexp_match(p_query, '(WH\d{3})', 'i'))[1]::TEXT; END IF; -- Detect CARRIER IDs (CR followed by 3 digits) IF p_query ~* 'CR\d{3}' THEN RETURN QUERY SELECT 'carrier'::TEXT, 'tbl_carriers'::TEXT, 'carrier_id'::TEXT, (regexp_match(p_query, '(CR\d{3})', 'i'))[1]::TEXT; END IF; RETURN; END; $$; GRANT EXECUTE ON FUNCTION public.detect_query_entities TO anon, authenticated, service_role; -- 7i. Context Enrichment (V9 - Composite Retrieval) CREATE OR REPLACE FUNCTION public.enrich_query_context( p_primary_table TEXT, p_primary_key TEXT, p_primary_value TEXT ) RETURNS TABLE( enrichment_type TEXT, table_name TEXT, row_data JSONB, relationship TEXT ) LANGUAGE plpgsql AS $$ DECLARE v_customer_id TEXT; v_warehouse_id TEXT; v_employee_id TEXT; v_carrier_id TEXT; v_primary_row JSONB; BEGIN -- ==================================================== -- STEP 1: GET PRIMARY ROW -- ==================================================== EXECUTE format( 'SELECT to_jsonb(t.*) FROM public.%I t WHERE %I = $1 LIMIT 1', p_primary_table, p_primary_key ) INTO v_primary_row USING p_primary_value; IF v_primary_row IS NULL THEN RETURN; END IF; RETURN QUERY SELECT 'primary'::TEXT, p_primary_table, v_primary_row, 'direct_match'::TEXT; -- ==================================================== -- STEP 2: FOLLOW FOREIGN KEYS (ENRICH!) -- ==================================================== -- ORDERS TABLE IF p_primary_table = 'tbl_orders' THEN v_customer_id := v_primary_row->>'customer_id'; v_warehouse_id := v_primary_row->>'warehouse_id'; v_carrier_id := v_primary_row->>'carrier_id'; -- Customer IF v_customer_id IS NOT NULL THEN RETURN QUERY SELECT 'enrichment'::TEXT, 'tbl_customers'::TEXT, to_jsonb(c.*), 'order_customer'::TEXT FROM public.tbl_customers c WHERE c.customer_id = v_customer_id; -- Customer History RETURN QUERY SELECT 'related_orders'::TEXT, 'tbl_orders'::TEXT, to_jsonb(o.*), 'customer_history'::TEXT FROM public.tbl_orders o WHERE o.customer_id = v_customer_id AND o.order_id != p_primary_value ORDER BY o.order_date DESC LIMIT 5; END IF; -- Warehouse IF v_warehouse_id IS NOT NULL THEN RETURN QUERY SELECT 'enrichment'::TEXT, 'tbl_warehouses'::TEXT, to_jsonb(w.*), 'order_warehouse'::TEXT FROM public.tbl_warehouses w WHERE w.warehouse_id = v_warehouse_id; END IF; -- Carrier IF v_carrier_id IS NOT NULL THEN RETURN QUERY SELECT 'enrichment'::TEXT, 'tbl_carriers'::TEXT, to_jsonb(cr.*), 'order_carrier'::TEXT FROM public.tbl_carriers cr WHERE cr.carrier_id = v_carrier_id; END IF; END IF; -- CUSTOMERS TABLE IF p_primary_table = 'tbl_customers' THEN RETURN QUERY SELECT 'enrichment'::TEXT, 'tbl_orders'::TEXT, to_jsonb(o.*), 'customer_orders'::TEXT FROM public.tbl_orders o WHERE o.customer_id = p_primary_value ORDER BY o.order_date DESC LIMIT 10; END IF; -- EMPLOYEES TABLE IF p_primary_table = 'tbl_employees' THEN v_employee_id := v_primary_row->>'employee_id'; RETURN QUERY SELECT 'enrichment'::TEXT, 'tbl_employees'::TEXT, to_jsonb(e.*), 'direct_reports'::TEXT FROM public.tbl_employees e WHERE e.manager_id = v_employee_id; RETURN QUERY SELECT 'enrichment'::TEXT, 'tbl_employees'::TEXT, to_jsonb(m.*), 'manager'::TEXT FROM public.tbl_employees m WHERE m.employee_id = (v_primary_row->>'manager_id'); END IF; -- WAREHOUSES TABLE IF p_primary_table = 'tbl_warehouses' THEN RETURN QUERY SELECT 'enrichment'::TEXT, 'tbl_orders'::TEXT, to_jsonb(o.*), 'warehouse_orders'::TEXT FROM public.tbl_orders o WHERE o.warehouse_id = p_primary_value ORDER BY o.order_date DESC LIMIT 10; END IF; RETURN; END; $$; GRANT EXECUTE ON FUNCTION public.enrich_query_context TO anon, authenticated, service_role; -- =============================================================== -- PART 8: CONFIGURATION SYSTEM -- =============================================================== INSERT INTO public.app_config (id, settings) VALUES (1, '{ "chunk_size": 500, "chunk_overlap": 100, "graph_sample_rate": 5, "worker_batch_size": 5, "model_router": "gemini-2.5-flash", "model_reranker": "gemini-2.5-flash-lite", "model_sql": "gemini-2.5-flash", "model_extraction": "gemini-2.5-flash", "rrf_weight_enrichment": 15.0, "rrf_weight_sql": 10.0, "rrf_weight_graph": 5.0, "rrf_weight_fts": 3.0, "rrf_weight_vector": 1.0, "rerank_depth": 15, "min_vector_score": 0.01, "search_limit": 10 }'::jsonb) ON CONFLICT (id) DO NOTHING; CREATE OR REPLACE FUNCTION public.configure_system( p_chunk_size INT DEFAULT NULL, p_chunk_overlap INT DEFAULT NULL, p_graph_sample_rate INT DEFAULT NULL, p_worker_batch_size INT DEFAULT NULL, p_model_router TEXT DEFAULT NULL, p_model_reranker TEXT DEFAULT NULL, p_model_extraction TEXT DEFAULT NULL, p_search_limit INT DEFAULT NULL, p_rerank_depth INT DEFAULT NULL, p_rrf_weight_vector NUMERIC DEFAULT NULL, p_rrf_weight_graph NUMERIC DEFAULT NULL, p_rrf_weight_sql NUMERIC DEFAULT NULL ) RETURNS TEXT LANGUAGE plpgsql SECURITY DEFINER AS $$ DECLARE current_settings JSONB; new_settings JSONB; BEGIN SELECT settings INTO current_settings FROM public.app_config WHERE id = 1; new_settings := current_settings; IF p_chunk_size IS NOT NULL THEN new_settings := jsonb_set(new_settings, '{chunk_size}', to_jsonb(p_chunk_size)); END IF; IF p_chunk_overlap IS NOT NULL THEN new_settings := jsonb_set(new_settings, '{chunk_overlap}', to_jsonb(p_chunk_overlap)); END IF; IF p_graph_sample_rate IS NOT NULL THEN new_settings := jsonb_set(new_settings, '{graph_sample_rate}', to_jsonb(p_graph_sample_rate)); END IF; IF p_worker_batch_size IS NOT NULL THEN new_settings := jsonb_set(new_settings, '{worker_batch_size}', to_jsonb(p_worker_batch_size)); END IF; IF p_model_router IS NOT NULL THEN new_settings := jsonb_set(new_settings, '{model_router}', to_jsonb(p_model_router)); END IF; IF p_model_reranker IS NOT NULL THEN new_settings := jsonb_set(new_settings, '{model_reranker}', to_jsonb(p_model_reranker)); END IF; IF p_model_extraction IS NOT NULL THEN new_settings := jsonb_set(new_settings, '{model_extraction}', to_jsonb(p_model_extraction)); END IF; IF p_search_limit IS NOT NULL THEN new_settings := jsonb_set(new_settings, '{search_limit}', to_jsonb(p_search_limit)); END IF; IF p_rerank_depth IS NOT NULL THEN new_settings := jsonb_set(new_settings, '{rerank_depth}', to_jsonb(p_rerank_depth)); END IF; IF p_rrf_weight_vec | 2026-01-13T08:49:40 |
https://opensource.org/ai/faq#what-s-the-next-step | OSAID FAQs – Open Source Initiative Skip to content Get involved About Licenses Open Source Definition Open Source AI Programs Blog Get involved About Licenses Open Source Definition Open Source AI Programs Blog Open Source AI Open Source AI OSAID 1.0 Process Timeline Open Weights FAQ Endorsements Open Main Menu THE open source ai definition 1.0 We have released the first stable version of the Definition. Read version 1.0 Answers to Frequently Asked Questions The Open Source AI Definition (OSAID) represents an important first step in defining Open Source in an AI context. Because AI systems differ fundamentally from traditional software, the OSAID seeks to establish the first set of clear, practical guidelines for development, use and modification of AI systems in keeping with the Open Source ethos. Unfortunately, misconceptions about the definition persist, often stemming from a lack of understanding of the nature of AI. This post aims to clarify key points and provide a forward-looking perspective on the importance of the OSAID. THE open source ai definition 1.0 FAQs What Is an AI System? What is an Open Source AI? Why did you write the Open Source AI Definition? What’s the difference between the Open Source Definition and the Open Source AI Definition? Isn’t training data required to program the AI system? What is the role of training data in the Open Source AI Definition? Why do you allow the exclusion of some training data? How did you arrive at this conclusion? Is it compromising Open Source ideals? What kind of data should be required in the Open Source AI Definition? How do you fix a buggy AI system? What is a skilled person? Is the Open Source AI Definition covering models and weights and parameters? Why do you require training code while OSD #2 doesn’t require compilers? Why is there no mention of safety and risk limitations in the Open Source AI Definition? Are model parameters copyrightable? Why will parameters be available under “OSI-approved terms” but the code will be under “OSI-approved licenses”? Are you going to allow restrictions on the terms for models? Why is the “Preferred form to make modifications” limited to machine learning? Which AI systems comply with the Open Source AI Definition? What’s the next step? FAQs What Is an AI System? According to the OSAID, an AI system aligns with the definition provided by the Organisation for Economic Co-operation and Development (OECD): An AI system is a machine-based system that, for explicit or implicit objectives, infers, from the input it receives, how to generate outputs such as predictions, content, recommendations, or decisions that can influence physical or virtual environments. Different AI systems vary in their levels of autonomy and adaptiveness after deployment. In simple terms, an AI system is “the thing” that processes input to produce output, whether that’s a prediction, recommendation, or another result. Anchoring discussions in such common definitions is essential because AI systems differ radically from traditional software. What is an Open Source AI? An Open Source AI is an AI system made freely available with all necessary code, data and parameters under legal terms approved by the Open Source Initiative. For more details, read below. Why did you write the Open Source AI Definition? Point #2 of the Open Source Definition (OSD) says “The program must include source code […] The source code must be the preferred form in which a programmer would modify the program […]” . When we embarked on this initiative, nobody had a clear answer to the question, “What is the preferred form to modify an AI system?” So OSI offered to find the answer along with the broader community by engaging in a co-design process . What’s the difference between the Open Source Definition and the Open Source AI Definition? The Open Source Definition (OSD) refers to software programs. AI and specifically machine learning systems are not simply software programs; they blend boundaries with data, configuration options, documentation and new artifacts, like weights and biases. The Open Source AI Definition describes the preferred form to modify an AI system, providing clarity on interpreting the principles of the OSD in the domain of AI. Isn’t training data required to program the AI system? A frequent misunderstanding about AI systems is equating training data with source code, suggesting that “training data is how the model gets programmed.” Unlike traditional software, AI systems are not programmed in the conventional sense. Instead, they acquire capabilities autonomously during the training process — a phenomenon distinguishing them from software like the Linux kernel. For example, the Linux kernel is: Programmed by humans. Composed of source code that developers can read, study, and modify. Reproducible, meaning its binary form can be reliably rebuilt from its source code. In contrast, modern AI systems such as large language models develop their behavior in ways that are often unpredictable and inexplicable. Training processes are challenging to replicate reliably, even by the system’s creators. These differences necessitated the establishment of a unique definition beyond the Open Source Definition for software. What is the role of training data in the Open Source AI Definition? Open Source means giving anyone the ability to meaningfully fork (study and modify) your system without requiring additional permissions to make it more useful for themselves and everyone else. This is why point #2 of the OSD requires that the source code be provided in the preferred form for making modifications. This way, everyone has the same rights and ability to fork as the original developers, starting a virtuous innovation cycle. However, training data does not equate to a software source code. Training data is important for studying modern machine learning systems. However, it is not what AI researchers and practitioners necessarily use as part of the preferred form for modifying a trained model. The Data Information and Code requirements of the OSAID allow Open Source AI systems to be forked by third-party AI builders downstream using the same information as the original developers. These forks could include removing nonpublic or non-open data from the training dataset in order to train a new Open Source AI system on fully public or open data. Why do you allow the exclusion of some training data? We want Open Source AI to exist in fields where data cannot be legally shared, such as medical AI. Laws that permit training on data often limit the resharing of that same data to protect copyright or other interests. Privacy rules also give people the right to control their most sensitive information, like decisions about their health. Similarly, much of the world’s Indigenous knowledge is protected through mechanisms that are not compatible with later-developed frameworks for rights exclusivity and sharing. There are also many cases where terms of use of publicly available data may give entity A the confidence that they may use it freely and call it “open data,” but not give entity A the confidence they can, in turn, give entity B the same guarantees for use in a different jurisdiction. Meanwhile, entity B may not feel confident using that data in their own jurisdiction. An example is so-called public domain data, where the definition of public domain varies from country to country. Another example is fair-use or private data, where the finding of fair use or privacy laws may require a good knowledge of the law of a given jurisdiction. This resharing is not so much limited as lacking legal certainty . How did you arrive at this conclusion? Is it compromising Open Source ideals? During our co-design process, relationships between the weights and the data drove the highest community engagement. In the “System analysis” phase , the volunteer groups suggested that training and data processing codes were more important for modifying the AI system than accessing the training and testing data. That result was validated in the “Validation phase” and suggested a path that allows Open Source AI to exist on equal grounds with proprietary systems: both can train on the same kind of data. Some people believe that full, unfettered access to all training data (with no distinction of its kind) is paramount, arguing that anything less would compromise the full reproducibility of AI systems, transparency and security. This approach would relegate Open Source AI to a niche of AI trainable only on open data. That niche would be tiny, even relative to the niche occupied by Open Source in the traditional software ecosystem. The requirements of Data Information keep the same approach present in the Open Source Definition; it doesn’t mandate full reproducibility and transparency but enables them (i.e., reproducible builds ). At the same time, setting a baseline requiring Data Information doesn’t preclude others from formulating and demanding more requirements, like the Digital Public Goods Standard or the Free Systems Distribution Guidelines , which add requirements to the Open Source Definition. One of the key aspects of OSI’s mission is to drive and promote Open Source innovation. The approach OSI takes here enables complete user choice with Open Source AI. Users can keep the insights derived from training+data preprocessing code and a description of unshareable training data and build upon those with their own unshareable data and give the insights derived from further training to everyone, allowing for Open Source AI in areas like health care. Alternatively, users can obtain the available and public data from the Data Information and retrain their model without any unshareable data, resulting in more data transparency in the AI system. Like copyleft and permissive licensing, this approach leaves the choice with the user. What kind of data should be required in the Open Source AI Definition? A significant challenge in AI is the role of data. Unlike traditional software, where source code is the primary artifact, AI systems depend heavily on data — not just any data, but data processed and curated into training datasets. The OSAID recognizes the legal and ethical complexities of data sharing and uses precise legal terms to outline expectations. While not all raw data can be freely distributed, the Definition ensures that the essential elements for modifying an AI system are accessible. There are four classes of data, based on their legal constraints, all of which can be used to train Open Source AI systems: Open training data: data that can be copied, preserved, modified and reshared. It provides the best way to enable users to study the system. This must be shared. Public training data: data that others can inspect as long as it remains available. This also enables users to study the work. However, this data can degrade as links or references are lost or removed from network availability. To obviate this, different communities will have to work together to define standards, procedures, tools and governance models to overcome this risk, and Data Information is required in case the data becomes later unavailable. This must be disclosed with full details on where to obtain it. Obtainable training data is data that can be obtained, including for a fee. This information provides transparency and is similar to a purchasable component in an open hardware system. The Data Information provides a means of understanding this data other than obtaining or purchasing it. This area is likely to change rapidly and will need careful monitoring to protect Open Source AI developers. It must be disclosed with full details on where to obtain it. Unshareable nonpublic training data: data that cannot be shared for explainable reasons, like Personally Identifiable Information (PII). For this class of data, the ability to study some of the system’s biases demands a detailed description of the data – what it is, how it was collected, its characteristics, and so on – so that users can understand the biases and categorization underlying the system. This must be revealed in detail so that, for example, a hospital can create a dataset with identical structure using its own patient data. OSI believes that all these classes of data can be part of the preferred form of making modifications to the AI system. This approach both advances openness in all the components of the AI system and drives more Open Source AI, including private-first areas such as health care. How do you fix a buggy AI system? A core question the OSAID addresses is: How do you fix a buggy AI system? For traditional software, the Open Source Definition provides a clear answer: The program must include source code, and must allow distribution in source code as well as compiled form. The source code must be the preferred form in which a programmer would modify the program. However, modifying an AI system requires more than just source code. After extensive consultation with AI developers, researchers and practitioners, the community, through the OSAID co-design process, concluded that the preferred form for modifying an AI system includes: The software used to create the dataset (i.e., to transform raw data into tokens). The software used to train the system. The results of the training (i.e., the parameters). All legally shareable data used in the training process. These components collectively enable the study, use, modification and sharing of AI systems in a manner consistent with Open Source principles. What is a skilled person? In legal circles, Skilled Person means any person having the current knowledge, experience and competence to perform a certain duty. This Wikipedia entry provides more details. Is the Open Source AI Definition covering models and weights and parameters? Yes. The Open Source AI Definition makes no distinction between what might be called AI system, model, or weights and parameters. Whether the offering is characterized as an AI system, a model, or weights and parameters, to be called Open Source AI, the requirements for providing the preferred form for making modifications will be the same. If you are interested in learning more about Open Weights, please read this article. Why do you require training code while OSD #2 doesn’t require compilers? AI and software are radically different domains, and drawing comparisons between them is rarely productive. OSD point #2 doesn’t mandate that Open Source software uses only compilers released with an OSI-Approved License because compilers are standardized, de jure (like ANSI C) or de facto like TurboPascal or Python. It was generally accepted that to develop more Open Source software one could use a proprietary development environment. For machine learning, the training code is not standardized, and therefore it must be part of the preferred form of making modifications to preserve the right to fork an AI system. Why is there no mention of safety and risk limitations in the Open Source AI Definition? The Open Source AI Definition does not specifically guide or enforce ethical, trustworthy, or responsible AI development practices. However, it does not put up any barriers that would prevent developers from adhering to such principles if they chose to. The efforts to discuss the responsible development, deployment and use of AI systems, including through appropriate government regulation, are a separate conversation. A good starting point is OECD’s Recommendation of the Council on Artificial Intelligence, Section 1: Principles for responsible stewardship of trustworthy AI . Are model parameters copyrightable? The Open Source AI Definition does not take a stance on the legal nature of Parameters. They may be free by nature, or a license or other legal instrument may be required to ensure their freedom. Whether model parameters are copyrightable will become clearer over time as the legal system has more opportunities to address this issue. In any case, we require an explicit assertion accompanying the distribution of Parameters that assures that they are freely available to all. Why will parameters be available under “OSI-approved terms” but the code will be under “OSI-approved licenses”? Are you going to allow restrictions on the terms for models? We used the word “terms” instead of “license” for models because, as mentioned above, we do not yet know what the legal mechanism will be to assure that the models are available to use, study, modify and share. We used “terms” to avoid suggesting that a “license” is the only legal mechanism that could be used. That said, to be approved by the OSI, the terms for parameters must assure the freedom to use, study, modify and share. Why is the “Preferred form to make modifications” limited to machine learning? The principles stated in the Open Source AI Definition are generally applicable to any kind of AI, but machine learning challenges the Open Source Definition. For machine learning, a set of artifacts (components) is required to study and modify the system, thus requiring a new explanation of what is necessary to study and modify the system. Which AI systems comply with the Open Source AI Definition? As part of our validation and testing of the OSAID, the volunteers checked whether the Definition could be used to evaluate if AI systems provided the freedoms expected. The list of models that passed the Validation phase are: Pythia (Eleuther AI), OLMo (AI2), Amber and CrystalCoder (LLM360), and T5 (Google). A few others that were analyzed would probably pass if they changed their licenses/legal terms, for example, BLOOM (BigScience), Starcoder2 (BigCode), and Falcon (TII). Those that have been analyzed and don’t pass because they lack required components and/or their legal agreements are incompatible with the Open Source principles include Llama2 (Meta), Grok (X/Twitter), Phi-2 (Microsoft), and Mixtral (Mistral). These results should be seen as part of the definitional process, a learning moment; they are not certifications of any kind. OSI will continue to validate only legal documents and will not validate or review individual AI systems, just as it does not validate or review software projects. What’s the next step? The Open Source AI Definition reflects a thoughtful and inclusive process endorsed by leading AI developers, researchers and practitioners. It culminates in a first step represented in version 1.0 of the OSAID. The definition acknowledges that AI fundamentally differs from software and requires a tailored approach. Misunderstandings about the OSAID often arise from attempts to apply software engineering paradigms to AI, leading to confusion. By embracing the unique characteristics of AI systems, the OSAID offers a robust framework for fostering transparency, innovation and collaboration in AI development. As we navigate AI’s evolving landscape, it is crucial to engage thoughtfully and constructively with these definitions. By doing so, we can ensure that AI systems remain open, accessible and aligned with the principles of the broader Open Source movement. Our work is only possible thanks to our members. Join us today! 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https://www.atlassian.com/legal/privacy-policy#what-this-policy-covers | Privacy Policy | Atlassian Close View this page in your language ? 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This privacy policy explains how Atlassian Pty Ltd, Atlassian US, Inc. and our corporate affiliates (“Atlassian”, “we”, “us”, “our”) collect, use, share, and protect your information when you use our products, services, websites, or otherwise interact with us (a list of Atlassian’s corporate affiliates can be found in the List of Subsidiaries section of Atlassian’s most recent Form 10-K, available under the SEC Filings tab by selecting the “Annual Filings” filter on the page located here ). We offer a wide range of products, including our cloud and software products. We refer to all of these products, together with our other services and websites, as "Services" in this privacy policy. This privacy policy also explains your choices surrounding how we use information about you, which includes how you can object to certain uses of information about you and how you can access and update certain information about you. If you do not agree with this privacy policy, do not access or use our Services or interact with any other aspect of our business. For individuals in the European Economic Area, United Kingdom, or the United States: please refer to the appropriate “ Regional disclosures ” for additional details that may be relevant to you. This privacy policy is intended to help you understand: Information we collect How we use information How we disclose information How we store and secure information How long we keep information How to access and control your information Our policy towards children Regional disclosures Changes to our privacy policy How to contact us We offer additional policies tailored for specific audiences and use cases. These include: Cookies & Tracking Notice Atlassian Careers Privacy Notice – for job applicants Former Workplace Privacy Notice – for past employees Demographic Survey Privacy Notice – for voluntary survey data This privacy policy describes Atlassian’s data practices as a controller of personal information. Please note that this privacy policy does not apply to the extent that we process personal information in the role of a processor or service provider on behalf of our customers, as further specified in the Data Processing Addendum entered into with those customers. When Atlassian processes personal information on behalf of our customers (such as your employer, if applicable), the customer is the controller of the personal information processed and manages those accounts and any Service sites. In such cases, Atlassian acts as a processor or service provider on behalf of our customer and handles your information according to the instructions of that organization. We are not responsible for the privacy or security practices of our customers, which may differ from those described in this privacy policy. For more information about how an Atlassian customer uses your personal information, or to exercise the rights you may have with respect to that information, please contact that organization directly. Privacy policy overview Atlassian collects information directly from you when you provide it to us, automatically when you use our Services, and from other sources including other users of the Services, other services you link to your account, other Atlassian companies, partners, and third-party providers. How we use information depends on which Services you use, how you use them, and any preferences you have communicated to us. We use information for a range of purposes described below, including to provide the Services and personalize your experience, to develop and improve our Services, to communicate with you, to conduct marketing and promotional activities, to provide customer support, to maintain Service safety and security, to protect our interests and rights, with your consent, and to aggregate or de-identify data. We disclose information as described below, including to service providers, Atlassian partners, providers of third-party services, for compliance with enforcement requests and applicable laws, to enforce our terms and policies and our rights, to Atlassian affiliated companies or in connection with business transfers, as well as with your consent. Additionally, when you use the Services, we disclose certain information about you to other Service users as described in more detail below. Where applicable under local law, you may have certain rights or choices with respect to your personal information, including to request information about our processing of information, to request a copy of your information, to object to our use of information, to request the deletion or restriction of information, to request a disclosure of information in a portable format, or to opt out of certain disclosures of personal information and targeted advertising. See the “ How to access and control your information ” section for more detail on specific choices and how to exercise the rights you may have. In the “ Regional disclosures ” section, we provide additional information for individuals in the European Economic Area and United Kingdom, including information about the legal bases for processing information, international transfers, the specific rights applicable in these jurisdictions, and how to contact our EU and UK representatives. We also provide additional information for individuals in the United States, including details about information collected and disclosed in the past 12 months and specific rights available under applicable U.S. state laws. We provide details on how to contact us with any questions or concerns, or to exercise your rights, in the “ How to contact us ” section. Information we collect We collect information about you when you provide it to us, when you use our Services, and from other sources, as further described below. Information you provide We collect information about you when you input it into the Services or otherwise provide it directly to us. This includes the following categories of information: Account Information and Profile Information: We collect information when you register for an account, create or modify your profile, set preferences, sign up for or make purchases through the Services. For example, you provide contact information (e.g., name or email address) and, in some cases, billing information (e.g., billing address, email address or name), when you register for the Services. You also have options to add a display name, profile photo, job title, and other details to your profile. We also keep track of your preferences when you select settings within the Services. You may also provide information to us when you integrate or link a third-party service with our Services. For example, if you create an account or log into the Services using your Google credentials, we receive your name and email address as permitted by your Google profile settings in order to authenticate you. The information we receive when you link or integrate our Services with a third-party service depends on the settings, permissions and privacy policy controlled by that third-party service. You should always check the privacy settings and notices in these third-party services to understand what information may be disclosed to us or shared with our Services. Content you provide through our products: The Services include the Atlassian products you use, where we collect and store content that you post, send, receive and share. We process this content in the role of a processor or service provider on behalf of our customers; this privacy policy does not apply to that processing (see above for more information). Content you provide through our websites: The Services also include websites owned or operated by us. We collect content that you submit to these websites, which include social media or social networking websites operated by us, our support and documentation websites, our Community Forums, and our Marketplace. For example, you provide content to us when you provide feedback, directly to us through our Services or otherwise, or when you participate in any interactive features, surveys, contests, promotions, sweepstakes, activities or events. Information you provide through our support channels: The Services also include customer support, where you may submit inquiries or other information regarding a problem you are experiencing with a Service. Whether you designate yourself as a technical contact, open a support ticket, speak to one of our representatives directly or otherwise engage with our support team or support features, you will be asked to provide contact information, a summary or description of the problem you are experiencing, and any other documentation, screenshots or information that would be helpful in resolving the issue and/or a Support Entitlement Number (SEN). Payment Information: We collect payment and billing information when you register for certain paid Services. For example, we ask you to designate a billing representative, including name and contact information, upon registration. You might also provide payment information, such as payment card details, which we collect via secure payment processing services. Information we collect automatically We automatically collect information about you when you use our Services, including browsing our websites and taking certain actions within the Services. Information may also be collected about how you interact with and use features in our software products. This includes the following categories of information: Your use of the Services: We collect information about your use, operation, and interaction with any of our Services, including when you connect third party services to or use those services with ours. This information includes, for example, the features you use, the actions you perform, the links you click on; the type, size and filenames of attachments you upload to the Services; search terms; the number of words in a Jira ticket or @ mentions in a comment; the type of Loom videos you created and the number of views on your videos; and how you interact with others on the Services. We also collect information about the teams and people you work with and how you work with them, like who you collaborate with and communicate with most frequently. Administrators may enable our collection of this information from software products. Device and Connection Information: We collect information about your computer, phone, tablet, or other devices you use to access the Services. This device information includes your connection type and settings when you install, access, update, or use our Services. We also collect information through your device about your operating system, browser type, IP address, URLs of referring/exit pages, device identifiers, and diagnostic and crash data. We use your IP address and/or country preference to approximate your location to provide you with a better Service experience. How much of this information we collect depends on the type and settings of the device you use to access the Services. Cookies and Other Tracking Technologies: Atlassian and our third-party partners, such as our advertising and analytics partners, use cookies and other tracking technologies (e.g., web beacons, device identifiers and pixels) to provide functionality, to recognize you across different Services and devices, or to demonstrate that certain content was viewed or clicked. For more information, please see our Cookies & Tracking Notice , which includes information on how to control or opt out of these cookies and tracking technologies. Information from other sources We also receive information about you from other Service users, our related companies, our business and channel partners, and third-party providers, including from social media platforms and public databases. We may combine this information with information we collect through other means described above. This helps us, for example, to update and improve our records, provide and improve our Services, identify new customers, create more personalized advertising, and suggest services that may be of interest to you. This includes information collected from the following sources: Other users of the Services: We receive your email address from other Service users when they provide it in order to invite you to the Services. Similarly, an administrator may provide your contact information when they designate you as the billing or technical contact on your company's account or when they designate you as an administrator. Atlassian Companies: We receive information about you from other Atlassian corporate affiliates, in accordance with their terms and policies. Atlassian Partners: We work with a global network of partners who provide consulting, implementation, training and other services around our products. Some of these partners also help us to market and promote our Services, generate leads for us, and resell our Services. We receive information about you and your activities on and off the Services from these partners, such as billing information, billing and technical contact information, company name, what Atlassian Services you have purchased or may be interested in, evaluation information you have provided, what events you have attended, what country you are in, and information about your interest in and engagement with our Services and online advertisements. Third-Party Providers: We may receive information about you from third-party providers of business and security information and from publicly available sources (e.g., social media platforms), including physical mail addresses, job titles, email addresses, phone numbers, intent data (or user behavior data), IP addresses and social media profiles. How we use information How we use the information we collect depends on which Services you use, how you use them, and any preferences you have communicated to us. We use information for the following purposes: To provide the Services and personalize your experience: We use information about you to provide the Services to you, including to process transactions, authenticate you when you log in, provide customer support, and operate, maintain, and improve the Services. We may use your email domain to infer your affiliation with a particular organization or industry to personalize the content and experience you receive on our websites. Based on your interactions with different Atlassian products, third-party services you link or install, and advertisements, we will personalize your experience and tailor our communications, recommendations and offers to you. To develop and improve our Services: We are always looking for ways to make our Services smarter, faster, secure, integrated, and useful. We use information and collective learnings (including feedback) about how people use our Services to troubleshoot, to identify trends, usage, activity patterns and areas for integration, to improve our Services and to develop new products, features and technologies that benefit our users and the public. For example, to improve the @mention feature, we automatically analyze recent interactions among users and how often they @mention one another to surface the most relevant connections for users, or we might analyze Marketplace search terms to improve the accuracy and relevance of suggested apps returned when you use the search feature. In some cases, we apply these learnings across our Services to improve and develop similar features, to better integrate the Services you use, or to provide you with insights based on how others use our Services. We also test and analyze certain new features with some users before rolling the feature out to all users. To communicate with you about the Services: We use your contact information to send transactional communications via email and within the Services, including confirming your purchases, reminding you of subscription expirations, responding to your comments, questions and requests, and providing customer support. We also provide tailored communications based on your activity and interactions with us, and we may contact you regarding product feedback. If an opt out is available, you will find that option within the communication itself or in your account settings. To conduct marketing and promotional activities: We use information about you and how you use the Services for analysis, research and communications relating to marketing (including targeted advertising of products that may interest you), promotional activities, and business development. We may use your contact information and information about how you use the Services to send promotional communications that may be of specific interest to you, including by email and by displaying Atlassian ads on other companies' websites and applications. These communications may be informed by, for example, your interactions (like counting ad impressions), and are aimed at driving engagement and maximizing what you get out of the Services, including information about new features, survey requests, newsletters, and events we think may be of interest to you. We also communicate with you about new Services, product offers, promotions, and contests. You can control whether you receive these communications as described below at “ How to access and control your information ” under "Opt-out of communications." To provide customer support: We use your information to resolve technical issues you encounter, to respond to your requests for assistance, to analyze crash information, and to repair and improve the Services, including for development, training, or fine-tuning of machine learning and artificial intelligence models. We may also use generative artificial intelligence in responding to your support related requests. Where you give us express permission to do so, we may disclose information to a third-party expert for the purpose of responding to support-related requests. To maintain Service safety and security: We use information about you and your use of the Services to verify accounts and activity, to detect, prevent, and respond to potential or actual security incidents, and to monitor and protect against other malicious, deceptive, fraudulent, illegal or inappropriate activity, including violations of Service policies. Detection and response may leverage generative artificial intelligence or machine learning tools. To protect our legitimate business interests and legal rights: Where required by law or where we believe it is necessary to protect our legal rights and interests, or the legal rights or interests of others, we use information about you in connection with legal claims, compliance, regulatory, and audit functions, and disclosures in connection with the acquisition, merger or sale of a business. With your consent: We use information about you where you have given us consent to do so for a specific purpose not listed above. For example, we may publish testimonials or featured customer stories to promote the Services, with your permission. To aggregate or de-identify data : We may aggregate or de-identify your information collected through the Services so it can no longer be re-identified by us or another party. We may use and disclose aggregated or de-identified data for a number of purposes, including to develop and improve our Services and to conduct marketing and promotional activities. To the extent we aggregate any data originally based on personal information, we maintain and use such data in de-identified form and will not attempt to re-identify the data. How we disclose information We make collaboration tools, and we want them to work well for you. This means disclosing information through the Services and to certain third parties. We disclose information we collect in the ways discussed below. Disclosing to third parties We disclose information to third parties that help us operate, provide, improve, integrate, customize, support, and market our Services. All the above categories exclude text messaging originator opt-in data and consent. This information will not be shared with any third parties, excluding aggregators and providers of the text messaging services. Service Providers: We work with third-party service providers to provide website and application development, hosting, maintenance, backup, storage, virtual infrastructure, payment processing, analysis, marketing, and other services for us, which may require them to access or use information about you. If a service provider needs to access information about you to perform services on our behalf, they do so under close instruction from us, including appropriate security and confidentiality procedures designed to protect your information. Atlassian Partners: We work with a global network of partners who provide consulting, implementation, training and other services around our products. We may disclose your information to these third parties in connection with their services, such as to assist with billing and collections, to provide localized support, and to provide customizations. We may also disclose information to these third parties where you have agreed to that disclosure. Third-Party Services: You, your administrator or other Service users may choose to add new functionality or change the behavior of the Services by installing or connecting third-party services. Doing so may give third-party services access to your account and information about you, like your name and email address. When you intentionally interact with such third-party services, we may disclose certain information to those third parties or receive information from those third parties, consistent with your privacy settings on the third-party service. If you purchase or install a third-party service using Atlassian Marketplace, we will also disclose Order information to the third party in accordance with the Atlassian Marketplace Terms of Use . Third-party service policies and procedures are not controlled by us, and this privacy policy does not cover how third-party services use your information. We encourage you to review the privacy policies of third parties before connecting to or using their applications or services to learn more about their privacy and information handling practices. If you object to information about you being disclosed to these third parties, please do not install or connect the third-party service. Links to Third-Party Sites: The Services may include links that direct you to other websites or services whose privacy practices may differ from ours. If you submit information to any of those third-party sites, your information is governed by their privacy policies. We encourage you to carefully read the privacy policy of any website you visit. Third-Party Widgets: Some of our services contain widgets and social media features, such as the Twitter "tweet" button or Facebook "like" button. These widgets and features may collect your IP address, which page you are visiting on the Services, and may set a cookie to enable the feature to function properly. Widgets and social media features are either hosted by a third-party or hosted directly on our Services. You should always check the privacy settings and notices in these third-party services to understand how those third-parties may use your information. With your consent: We may also disclose information about you to third parties when you give us consent to do so. For example, we often display personal testimonials of satisfied customers on our public websites. With your consent, we may post your name alongside the testimonial. Compliance with Enforcement Requests and Applicable Laws; Enforcement of Our Terms and Policies; Enforcement of Our Rights: We may disclose information about you to government authorities, law enforcement, or industry peers if we believe that sharing is reasonably necessary to (a) comply with any applicable law, regulation, legal process or enforceable governmental request, or legal obligation, (b) enforce the terms of our agreements and our policies, (c) protect the security or integrity of our products and services, (d) protect Atlassian, our customers or the public from harm or illegal activities, or (e) respond to an emergency which we believe in good faith requires us to disclose information to assist in preventing the death or serious bodily injury of any person. For more information on how we respond to government requests, see our Guidelines for Law Enforcement and our Transparency Report . Disclosing to affiliated companies We disclose information we collect to affiliated companies and, in some cases, to prospective affiliates. Affiliated companies are companies owned or operated by us. The protections of this privacy policy apply to the information we disclose in these circumstances. Atlassian companies: We disclose information to other Atlassian corporate affiliates in order to operate, maintain, and improve the Services, and to offer you other Atlassian affiliated services. This includes companies that own or operate the Services. Business Transfers: We may disclose or transfer information we collect under this privacy policy in connection with any merger, sale of company assets, financing, reorganization, dissolution, or acquisition of all or a portion of our business to another company. You will be notified via email and/or a prominent notice on the Services if a transaction takes place, as well as any choices you may have regarding your information. Disclosing to other Service users When you use the Services, we disclose certain information about you to other Service users. Managed accounts and administrators: If you register or access the Services using an email address with a domain that is owned by your employer or organization, or associate that email address with your existing account, and such organization wishes to establish an account or site, certain information about you, including your name, profile picture, contact info, content and past use of your account may become accessible to that organization’s administrator and other Service users sharing the same domain. If you are an administrator for a particular site or group of users within the Services, we may disclose your contact information to current or past Service users, for the purpose of facilitating Service-related requests. Community Forums: Our websites offer publicly accessible blogs, forums, issue trackers, and wikis (e.g., Atlassian Community , Atlassian Developer Community , Trello Community , and Trello Inspiration ). You should be aware that any information you provide on these websites - including profile information associated with the account you use to post the information - may be read, collected, and used by any member of the public who accesses these websites. Your posts and certain profile information may remain even after you terminate your account. We urge you to consider the sensitivity of any information you input into these Services. To request removal of your information from publicly accessible websites operated by us, please contact us as provided below. In some cases, we may not be able to remove your information, in which case we will let you know if we are unable to and why. How we store and secure information We use industry standard technical and organizational measures to secure the information we store. For more information on where and how we store your information, please see the Atlassian Trust Center. While we implement safeguards designed to protect your information, no security system is impenetrable and due to the inherent nature of the Internet, we cannot guarantee that information, during transmission through the Internet or while stored on our systems or otherwise in our care, is absolutely safe from intrusion by others. How long we keep information How long we keep information we collect about you depends on the type of information, the purposes for which it was collected, applicable legal or regulatory requirements, and user expectations and preferences. After such time, we will either delete or de-identify your information or, if this is not possible (for example, because the information has been stored in backup archives), then we will securely store your information and isolate it from any further use until deletion is possible. Account information: We retain your account information for as long as your account is active and a reasonable period thereafter in case you decide to re-activate the Services. We also retain some of your information as necessary to comply with our legal obligations, to resolve disputes, to enforce our agreements, to support business operations, and to continue to develop and improve our Services. Where we retain information to develop and improve our Services, we take steps to de-identify the information. Information you share on the Services: If your account is deactivated or disabled, some of your information and the content you have provided will remain in order to allow your team members or other users to make full use of the Services. For example, we continue to display messages you sent to the users that received them and continue to display content you provided. Managed accounts: If the Services are made available to you through an organization (e.g., your employer), we retain your information as long as required by the administrator of your account. For more information, see "Managed accounts and administrators" at the “ How we disclose information ” section. Marketing information: If you have elected to receive marketing emails from us, we retain information about your marketing preferences for a reasonable period of time from the date you last expressed interest in our Services, such as when you last opened an email from us or ceased using your Atlassian account. We retain information derived from cookies and other tracking technologies for a reasonable period of time from the date such information was created. How to access and control your information Your Rights: Where applicable under local law, you may have certain rights with respect to your personal information. For more information about region-specific rights for residents of the European Economic Area, United Kingdom, and the United States, please refer to the “ Regional disclosures ” section. Depending on which jurisdiction you live in, you may have the right to request information about our processing of your information, to request a copy of your information, to object to our use of your information (including for marketing purposes), to request the deletion or restriction of your information, to request your information in a structured, electronic format, to request to correct or update your information, to request that we transfer your information to a third party, and to request to opt out of certain disclosures of personal information and targeted advertising. In the “ Your choices ” section, we describe the tools and processes for making different requests associated with these rights. You can exercise some of the choices by logging into the Services and using settings available within the Services or your account. For all other requests, you may contact us as provided in the “ How to contact us ” section. Your requests and choices may be limited in certain cases: for example, if fulfilling your request would reveal information about another person, or if you ask to delete information which we are required or permitted by law to retain. Where you have asked us to disclose data to third parties, for example, by installing third-party apps, you will need to contact those third-party service providers directly to have your information deleted or otherwise restricted. If you have unresolved concerns, you may have the right to complain to a data protection authority in the country where you live, where you work, or where you feel your rights were infringed. Your Choices: You have certain choices available to you when it comes to your information. Below is a summary of those choices, how to exercise them and any limitations: Access and update your information: Our Services give you the ability to access and update certain information about you from within the Service. For example, you can access your profile information from your account and update your profile information within your profile settings (see here for instructions on how to do this). You can also make a request to access information that Atlassian holds in relation to your account here . If you don’t have an Atlassian account, you can make a request to access your information here . Delete your information, including your account: Our Services give you the ability to delete certain information about you from within the Services. For example, you can remove certain profile information within your profile settings (see here for instructions on how to do this). If you would like to delete your Atlassian account, see here for more information. If you don’t have an Atlassian account, you can make a request to delete your information here . Please note, however, that we may need to retain certain information for record keeping purposes, to complete transactions, or to comply with our legal obligations. Request that we stop using your information: In some cases, you may ask us to stop accessing, storing, using and otherwise processing your information where you believe we don't have the appropriate rights to do so. For example, if you believe a Services account was created for you without your permission, or you are no longer an active user, you can request that we delete your account as provided in this privacy policy. Where you gave us consent to use your information for a limited purpose, you can contact us to withdraw that consent, but this will not affect any processing that has already taken place at the time. If you object to information about you being disclosed to a third-party service, please disable the service. Opt out of communications: You may opt out of receiving promotional communications from us by using the unsubscribe link within each email, updating your email preferences within your Service account settings menu, or by contacting us as provided below to have your contact information removed from our promotional email list or registration database. Even after you opt out from receiving promotional messages from us, you will continue to receive transactional messages from us regarding our Services. Please note, you will continue to receive generic ads. Opt out of targeted advertising: Where applicable under local law, you may have the right to opt out of targeted advertising by clicking “Manage Preferences” and following the instructions. Where required, we also honor requests to opt out submitted via privacy preference signals recognized under applicable law, such as the Global Privacy Control (“GPC”). For more information on the GPC and how to use a browser or browser extension incorporating the GPC signal, see Global Privacy Control — Take Control Of Your Privacy . Relevant browser-based cookie controls are described in our Cookies & Tracking Notice . You may also be able to opt out of receiving personalized advertisements from other companies who are members of the Network Advertising Initiative or who subscribe to the Digital Advertising Alliance's Self-Regulatory Principles for Online Behavioral Advertising. For more information about this practice and to understand your options, please visit: http://www.aboutads.info , http://optout.networkadvertising.org/ and http://www.youronlinechoices.eu . Data portability: Data portability is the ability to obtain some of your information in a format you can move from one service provider to another (for instance, when you transfer your mobile phone number to another carrier). Depending on the context, this applies to some of your information, but not to all of your information. Should you request it, we will provide you with an electronic file of your basic account information and the information you create on the spaces under your sole control, like your personal Bitbucket repository. Our policy towards children Our Services are not intended for use by anyone under the age of 16. If we become aware that a child under 16 has provided us with personal information, we will take steps to delete such information. Regional disclosures Depending on where you live, you may have specific privacy rights that apply to you. The following privacy representations and disclosures are intended to supplement the main privacy policy and provide additional information about those rights and other information relevant to data subjects located in the following jurisdictions. For data subjects located in the European Economic Area or the United Kingdom, please refer to the European Economic Area and United Kingdom privacy disclosures below. For residents of the United States, please refer to the U.S. State privacy disclosures below. European Economic Area and United Kingdom privacy disclosures If you are an individual in the European Economic Area (EEA) or United Kingdom (UK), we collect and process information about you only where we have legal bases for doing so under applicable data protection laws. The legal bases depend on the Services you use and how you use them. This means we collect and use your information only where: We need it to provide you the Services and personalise your experience, provide customer support and to maintain Service safety and security; It satisfies a legitimate interest (which is not overridden by your data protection interests), such as to develop and improve our Services, to conduct marketing and promotional activities and to protect our legal rights and interests; You give us consent to do so for a specific purpose; or We need to process your data to comply with a legal obligation. If you have consented to our use of information about you for a specific purpose, you have the right to change your mind at any time, but this will not affect any processing that has already taken place. Where we are using your information because we have a legitimate interest to do so, you have the right to object to that use, though, in some cases, this may mean no longer using the Services. The following chart identifies the applicable legal basis for each processing purpose: Purpose (see the How we use information section for more detail) Legal basis To provide the Services and personalize your experience; To develop and improve the Services, including machine learning and artificial intelligence model training; To communicate with you about the Services; To conduct marketing and promotional activities; To provide customer support; Verify your account credentials as needed to log you into the Services and help safeguard your account’s security; Protect our rights, privacy, safety, or property, and/or that of our affiliated companies, you, or other parties, including to enforce this privacy policy and any other agreements or policies; Detect and prevent fraud, illegal activity, or violations of the terms of our agreements and our Service policies, and to maintain the security of our IT systems, architecture, assets, customers, and networks; and Aggregate or de-identify data. Legitimate interests (Article 6(1)(f) GDPR) To provide the Services and personalize your experience; To develop and improve the Services; Communicate with you about changes to our terms, conditions, or policies; or to respond to your inquiries, comments, feedback, or questions; Verify your account credentials as needed to log you into the Services and help safeguard your account’s security; Process payments; Detect and prevent fraud, illegal activity, or violations of Service policies, and to maintain the security of our IT systems, architecture, assets, customers, and networks; and Protect our rights, privacy, safety, or property, and/or that of our affiliated companies, you, or other parties, including to enforce this privacy policy and any other agreements or policies. Contractual necessity (Article 6(1)(b) GDPR) To develop and improve the Services; Publish testimonials or featured customer stories; and To conduct marketing and promotional activities (where you have provided consent to receive such marketing or promotions). Consent (where legally required) (Article 6(1)(a) GDPR) To maintain Service safety and security; Detect and prevent fraud, illegal activity, or violations of the terms of our agreements and our Service policies; Authenticate account credentials, as necessary to log you into the Services and help protect the security of your account; and Comply with legal obligations and legal process and to protect our rights, privacy, safety, or property, and/or that of our affiliated companies, you, or other parties, including to enforce this privacy policy and any other agreements or policies. Compliance with a legal obligation (Article 6(1)(c) GDPR) Where applicable under local law and subject to applicable exceptions, you have the following rights regarding your personal information: To request access to and/or a copy of certain information we hold about you (including in a portable and/or machine-readable format); To object to how we process your personal information; To update or correct your personal information; To request that we delete certain personal information we hold about you; To restrict how we process certain personal information about you; To request that we transfer your information to a third-party provider of services; To withdraw your consent at any time (where you have provided consent for the processing of your personal information); and To lodge a complaint with the relevant supervisory authority. If you have a complaint or concern about your personal information, we encourage you to contact us first, and we will do our best to resolve your concern. You can submit inquiries to the appropriate representative here: EU Representative: Atlassian B.V. c/o Atlassian, Inc. 350 Bush Street, Floor 13 San Francisco, CA 94104 E-Mail: eudatarep@atlassian.com UK Representative: Atlassian (UK) Operations Limited c/o Herbert Smith Freehills LLP Exchange House Primrose Street London EC2A 2EG United Kingdom E-Mail: ukrepresentative@atlassian.com International transfers: We collect information globally and may transfer, process, and store your information outside of your country of residence, to wherever we or our third-party service providers operate for the purpose of providing you the Services. Whenever we transfer your information, we take steps to protect it. International transfers within the Atlassian Companies: To facilitate our global operations, we transfer information globally and allow access to that information from countries in which the Atlassian owned or operated companies have operations for the purposes described in this privacy policy. These countries may not have equivalent privacy and data protection laws to the laws of your country. When we disclose information about you within and among Atlassian corporate affiliates, we make use of the Data Privacy Framework to receive personal data transfers from the European Union/European Economic Area to the U.S. (see the “Data Privacy Framework notice” section below), and the standard contractual data protection clauses (see here ), which have been approved by the European Commission, to safeguard the transfer of information we collect from the European Economic Area, the United Kingdom (the "UK"), and Switzerland. Refer to this page for a list of countries to which we regularly transfer personal data. Data Privacy Framework notice: On July 10, 2023, the European Commission’s adequacy decision for the EU-U.S. Data Privacy Framework (EU-U.S. DPF) entered into force. Atlassian, Inc. and its U.S. subsidiaries (Atlassian Network Service, Inc., Dogwood Labs, Inc., AgileCraft LLC, Halp, Inc., Loom, Inc., Opsgenie, Inc., and Trello, Inc.) adhere to the Data Privacy Framework Principles regarding the collection, use, and retention of personal data that is transferred from the European Union and Switzerland to the U.S. Atlassian complies with the EU-U.S. Data Privacy Framework (EU-U.S. DPF), the UK Extension to the EU-U.S. DPF and the Swiss-U.S. Data Privacy Framework (Swiss-U.S. DPF) as set forth by the U.S. Department of Commerce. Atlassian has certified to the U.S. Department of Commerce that it adheres to the EU-U.S. Data Privacy Framework Principles (EU-U.S. DPF Principles) with regard to the processing of personal data received from the European Union in reliance on the EU-U.S. DPF and from the United Kingdom (and Gibraltar) in reliance on the UK Extension to the EU-U.S. DPF. Atlassian has certified to the U.S. Department of Commerce that it adheres to the Swiss-U.S. Data Privacy Framework Principles (Swiss-U.S. DPF Principles) with regard to the processing of personal data received from Switzerland in reliance on the Swiss-U.S. DPF. If there is any conflict between the terms in this policy and the EU-U.S. DPF Principles and/or the Swiss-U.S. DPF Principles, the Principles shall govern. To learn more about the Data Privacy Framework (DPF) program, and to view our certification, please visit https://www.dataprivacyframework.gov/ . In compliance with the EU-U.S. DPF, the UK Extension to the EU-U.S. DPF, and the Swiss- | 2026-01-13T08:49:40 |
https://analyticsindiamag.com/developers-corner/why-developers-are-ditching-github-copilot/ | Why Developers Are Ditching GitHub Copilot Sections AI News AI Features AI Trends GCC Deep Tech IT Services Global Tech AI Highlights AI Startups AI Hirings Magazine Brand Collaboration Webinars AWS Fractal Intuit Nvidia Events & Meetups Cypher MLDS DES MachineCon HappyLlama CDO Vision Mumbai CDO Vision Bangalore CXO Unplugged Advertise CXO Corner GCC Corner AIM Print Newsletters About us Indian IT Startups AI News Search Sign In Subscribe Published on August 12, 2024 In Deep Tech Why Developers Are Ditching GitHub Copilot "I don't need autocomplete. I need to tell Claude what I want, and it will give me the code." Image by Raghavendra Rao By Mohit Pandey Everyone’s a developer because of tools like ChatGPT and Claude. Similarly, when GitHub Copilot was introduced, it was hailed as a game-changer, capable of speeding up coding tasks, reducing repetitive work, and even generating code snippets based on natural language prompts. However, the reality for many developers has been less than ideal. To understand the reasons, Santiago Valdarrama, an ML teacher and founder of Tideily, asked the question - If you aren't using GitHub Copilot to write code, can you tell me why? And the replies were mixed and nothing short of fascinating. Tom Cruickshank, a developer who tested Copilot with JetBrains IDE, shared his experience. “I tried it out with Jetbrains IDE and I felt it was more of a miss than a hit. I was deleting stuff more than using Subscribe or log in to Continue Reading Uncompromising innovation. Timeless influence. Your support powers the future of independent tech journalism. Subscribe to read Already have an account? Sign In . 📣 Want to advertise in AIM? Book here Mohit Pandey Mohit writes about AI in simple, explainable, and often funny words. He's especially passionate about chatting with those building AI for Bharat, with the occasional detour into AGI. Related Posts ‘My Manager Thinks Copilot is Saving 40% Time’ Developers Should Have a Choice of Not Using AI India Surpasses US as World’s Largest Base of Open Source Contributors: GitHub Octoverse 2025 GitHub Unveils Agent HQ Amid Record 180 Million Developers Worldwide GitHub Launches Copilot CLI in Public Preview for Terminal-Based Coding GitHub’s New Agents Panel to Serve as a ‘Mission Control Centre’ for Developers Don’t Miss the Next Big Shift in AI. Get one year subscription for ₹5999 Subscribe Now Why India’s Gen Z is Struggling to Break Into IT Most graduates still lack the skills IT employers need and are increasingly turning to certifications to bridge the gap. 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Is Data Centre Impact Being Undervalued in India’s GDP Calculations? From AI workloads to enterprise cloud adoption, data centres could become foundational drivers of India’s GDP growth. Building an AI Economy That Includes Everyone “What we’re seeing is that accessibility-driven design often solves a broader problem. It’s not charity. 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https://opensource.org/get-involved#content | Get involved – Open Source Initiative Skip to content Get involved About Licenses Open Source Definition Open Source AI Programs Blog Get involved About Licenses Open Source Definition Open Source AI Programs Blog Open Main Menu Home Get involved Get involved Hundreds of individuals and organizations worldwide join as members and support as donors or sponsors of the OSI. They trust in our neutral stewardship of open source licensing and our role in enabling a global community. “I think this is an organization that you really should support, because they specifically focus on Open Source licenses. And I think that’s a very important area that needs continuous support and evaluation.” -Peter Zaitsev , Founder, Percona “Thank you OSI for protecting what open source means, so that everybody uses the same definition when we’re talking about open source.” -Emily Omier , Founder, Open Source Founders Summit “The Open Source Initiative does vital work defining, maintaining and keeping consistent the definition of what open source actually is.” -Michael Meeks , CEO, Collabora Productivity Membership Join OSI as an individual to belong to the organization that stewards the Open Source Definition. ✅ Voting rights ✅ Tax deductible ✅ Newsletter ✅ Discussions Become a member Donation You can make a one-time or recurring donation as an individual to directly support our mission. ✕ No voting rights ✅ Tax deductible ✅ Flexible giving options ✅ Anonymous if desired Make a donation Sponsorship Show your organization’s commitment to open source. Your funds advance OSI’s overall mission. ✕ No voting rights ✅ Tax deductible ✅ Various tiers ✅ Recognition Sponsor our work Our mission We are a non-profit organization with global scope, formed to educate and advocate for the benefits of Open Source and to build bridges among different constituencies in the Open Source community. ✅ Supporting a healthy ecosystem. ✅ Promoting worldwide collaboration. ✅ Educating about the value of Open Source. ✅ Advocating for frictionless innovation. Testimonials “I firmly believe that open source is the best way to build technology that’s collaborative, transparent and that’s impactful and the OSI crystallizes all these values in the same place.” -Florent Zara, Open Source Services Team Lead, Eclipse Foundation “I support OSI as a thought leader in the open source ecosystem because it provides a set of norms that we can all agree on.” -Anais Concepcion, Co-CEO, Grist “The Open Source Initiative creates a level playing field for all commercial open source vendors to flourish.” -Sandro Groganz Head of Marketing, Passbolt “Thank you OSI for protecting what open source means, so that everybody uses the same definition when we’re talking about open source.” -Raphael Michel , Managing Director, pretix FAQ: Membership, Donations, Sponsorship Who can become an OSI member? OSI membership is open to any individual. If you live in a country under U.S. embargo, please contact us for assistance. Companies cannot become voting members. What membership levels are available and what do they include? OSI offers two paid membership tiers. Supporting Members ($50/year) can nominate and vote for OSI’s Board of Directors, run for a board seat, and get early access to events, workshops, and member discounts. Professional Members ($300/year) get all Supporting Member benefits plus priority access to meetings and exclusive OSI content. We also offer a free Basic Membership that shows your support but does not include voting rights. How long does membership last, and how do I renew? A membership lasts 12 months from your join date. When you sign up, you can choose to renew automatically. Otherwise, we will remind you to renew each year. You can renew online through the OSI member portal or by purchasing a new membership when your term expires. What do OSI membership fees support? Membership dues fund OSI’s programs and staff. Your support pays professional staff salaries and covers activities that promote and protect open source software around the world. In short, your membership helps OSI fulfill its mission as the steward of the Open Source Definition and community. Are OSI membership fees tax-deductible? Yes. The OSI is a California-based 501(c)(3) public charity, so membership dues (and donations) are generally tax-deductible for U.S. taxpayers. As always, please consult your tax advisor about deductibility in your situation. How can I donate to the OSI? You can give by mail or online. Online, you can donate via the OSI member portal. We also accept micro-donations via Flattr. You can also send a check payable to “Open Source Initiative” to our address. Are donations to the OSI tax-deductible? Yes. The OSI is a U.S. 501(c)(3) nonprofit, so donations are generally tax-deductible for U.S. taxpayers. If you are a U.S. donor, you can claim your charitable gift on your federal tax return (check with a tax professional for details). Can I make a one-time gift or a recurring donation? Yes. Our donation form lets you choose a one-time contribution or an annual recurring donation. When you donate online, simply select “One-Time” or “Yearly” on the form. Who can sponsor the OSI and how do we get involved? Any company or organization can become an OSI sponsor. To explore sponsorship, interested organizations should contact OSI . Please see our Sponsorship Prospectus or reach out through the OSI contact form for details. What are the benefits of sponsoring OSI? Sponsors receive public recognition and networking opportunities. For example, sponsors are featured on OSI’s supporters page with their logos displayed prominently. Depending on the sponsorship level, benefits can include logo placement on the website, mentions in newsletters and social media, and invitations to special OSI events. Full details are available in the Sponsorship Prospectus. Does OSI endorse its sponsors or their products? No. OSI is a neutral steward of the Open Source Definition and community. Listing a sponsor on our site is simply a way to thank their support; OSI does not endorse any particular company, product, or service. Does sponsorship give my organization influence over OSI’s decisions or policies? No. Sponsorship of the OSI is a financial contribution that supports our mission, not a governance role. Sponsors do not receive any special influence over OSI’s decisions, licensing approvals, or policy positions. As a 501(c)(3) nonprofit, OSI maintains strict neutrality and independence in all of its work. This ensures that open source remains a community-led effort, not driven by commercial interests. 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https://vibe.forem.com/dixitram/what-do-you-do-with-your-old-first-laptop-when-you-get-a-new-one-40mn#comments | What do you do with your old first laptop when you get a new one?💻 - Vibe Coding 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 Vibe Coding 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 Dixit Ram Posted on Jan 6 What do you do with your old first laptop when you get a new one?💻 # ai # gemini My friend and I were chatting the other day, and we both agreed: No way we’re throwing it away. That thing has seen too many late nights, assignments, games, projects… so many memories. One day the idea just hit me. I thought about those cool iPhone teardown frames people hang on their walls… Why not do the exact same thing with an old laptop? So I asked Gemini to create an image of my old laptop taken apart and framed like art. It turned out awesome! (Attach the Gemini-generated image here — it looks perfect as wall decor) Now I just need a sofa and a house to hang it in. 😅 What about you? Still keeping your first laptop somewhere? Did you repurpose it? Or turn it into something creative? Share your story in the comments — I’d really love to hear it! 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 Dixit Ram Follow I nerd over cool science & tech news 🧑🔬, love discovering and trying new tools and frameworks 💻. Location Gujarat,India Joined Apr 7, 2024 More from Dixit Ram 🐱Cursor Pet Extensions—A Playful Companion # ai # antigravity # plugin # extensions 💎 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 Vibe Coding Forem — Discussing AI software development, and showing off what we're building. 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 . Vibe Coding Forem © 2025 - 2026. Where anyone can code, with a bit of creativity and some AI help. Log in Create account | 2026-01-13T08:49:40 |
https://opensource.org/blog/copyright-law-makes-a-case-for-requiring-data-information-rather-than-open-datasets-for-open-source-ai | Copyright law makes a case for requiring data information rather than open datasets for Open Source AI – 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 September 11, 2024 News Nick Vidal Copyright law makes a case for requiring data information rather than open datasets for Open Source AI The Open Source Initiative (OSI) is running a blog series to introduce some of the people who have been actively involved in the Open Source AI Definition (OSAID) co-design process. The co-design methodology allows for the integration of diverging perspectives into one just, cohesive and feasible standard. Support and contribution from a significant and broad group of stakeholders is imperative to the Open Source process and is proven to bring diverse issues to light, deliver swift outputs and garner community buy-in. This series features the voices of the volunteers who have helped shape and are shaping the Definition. Meet Felix Reda Photo Credit: CC-by 4.0 International Volker Conradus volkerconradus.com . Felix Reda (he/they) has been an active contributor to the Open Source AI Definition (OSAID) co-design process, bringing his personal interest and expertise in copyright reform to the online forums. Working in digital policy for over ten years, including serving as a member of the European Parliament from 2014 to 2019 and working with the strategic litigation NGO Gesellschaft für Freiheitsrechte (GFF), Felix is currently the director of developer policy at GitHub. He is also an affiliate of the Berkman Klein Center for Internet and Society at Harvard and serves on the board of the Open Knowledge Foundation Germany. He holds an M.A. in political science and communications science from the University of Mainz, Germany. Data information as a viable alternative Note : The original text was contributed by Felix Reda to the discussions happening on the Open Source AI forum as a response to Stefano Maffulli’s post on how the draft Open Source AI Definition arrived at its current state, the design principles behind the data information concept and the constraints (legal and technical) it operates under. When we look at applying Open Source principles to the subject of AI, copyright law comes into play, especially for the topic of training data access. Open datasets have been a continuous discussion point in the collaborative process of writing the Open Source AI Definition. I would like to explain why the concept of data information is a viable alternative for the purposes of the OSAID. The definition of Open Source software has an access element and a legal element – the access element being the availability of the source code and the legal element being a license rooted in the copyright-protection given to software. The underlying assumption is that the entity making software available as Open Source is the rights holder in the software and is therefore entitled to make the source code available without infringing the copyright of a third party, and to license it for re-use. To the extent that third-party copyright-protected material is incorporated into the Open Source software, it must itself be released under a compatible Open Source license that also allows the redistribution. When it comes to AI, the situation is fundamentally different: The assumption that an Open Source AI model will only be trained on copyright-protected material that the developer is entitled to redistribute does not hold. Different copyright regimes around the world, including the EU, Japan and Singapore, have statutory exceptions that explicitly allow text and data mining for the purposes of AI training. The EU text and data mining exceptions, which I know best, were introduced with the objective of facilitating the development of AI and other automated analytical techniques. However, they only allow the reproduction of copyright-protected works (aka copying), but not the making available of those works (aka posting them on the internet). That means that an Open Source AI definition that would require the republication of the complete dataset in order for an AI model to qualify as Open Source would categorically exclude Open Source AI models from the ability to rely on the text and data mining exceptions in copyright – that is despite the fact that the legislator explicitly decided that under certain circumstances (for example allowing rights holders to declare a machine-readable opt-out from training outside of the context of scientific research) the use of copyright-protected material for the purposes of training AI models should be legal. This result would be particularly counterproductive because it would even render Open Source AI models illegal in situations where the reproducibility of the dataset would be complete by the standards discussed on the OSAID forum. Examples Imagine an AI model that was trained on publicly accessible text on the internet that was version-controlled, for which the rights holder had not declared an opt-out, but which the rights holder had also not put under a permissive license (all rights reserved). Using this text as training data for an AI model would be legal under copyright law, but re-publishing the training dataset would be illegal. Publishing information about the training dataset that included the version of the data that was used, when and how it was retrieved from which website, and how it was tokenized would meet the requirements of the OSAID v 0.0.8 if (and only if) it put a skilled person in the position to build their own dataset to recreate an equivalent system. Neither the developer of the original Open Source AI model nor the skilled person recreating it would violate copyright law in the process, unlike the scenario that required publication of the dataset. Including a requirement in the OSAID to publish the data, in which the AI developer typically does not hold the copyright, would have little added benefit but would drastically reduce the material that could be used for training, despite the existence of explicit legal permissions to use that content for AI training. I don’t think that would be wise. The international concern of public domain While I support the creation of public domain datasets that can be republished without restrictions, I would like to caution against pointing to these efforts as a solution to the problem of copyright in training datasets. Public domain status is not harmonized internationally – what is in the public domain in one jurisdiction is routinely protected by copyright in other parts of the world. For example, in US discourse it is often assumed that works generated by US government employees are in the public domain. They are not, they are only in the public domain in the US, while they are copyright-protected in other jurisdictions. The same goes for works in which copyright has expired: Although the Berne Convention allows signatory countries to limit the copyright term on works until protection in the work’s country of origin has expired, exceptions to this rule are permitted. For example, although the first incarnation of Mickey Mouse has recently entered the public domain in the US, it is still protected by copyright in Germany due to an obscure bilateral copyright treaty between the US and Germany from 1892. Copyright protection is not conditional on registration of a work, and no even remotely comprehensive, reliable rights information on the copyright status of works exists. Good luck to an Open Source AI developer who tried to stay on top of all of these legal pitfalls. Bottom line There are solid legal permissions for using copyright-protected works for AI training (reproductions). There are no equivalent legal permissions for incorporating copyright-protected works into publishable datasets (making available). What an Open Source AI developer thinks is in the public domain and therefore publishable in an open dataset regularly turns out to be copyright-protected after all, at least in some jurisdictions. Unlike reproductions, which only need to follow the copyright law of the country in which the reproduction takes place, making content available online needs to be legal in all jurisdictions from which the content can be accessed. If the OSAID required the publication of the dataset, this would routinely lead to situations where Open Source AI models could not be made accessible across national borders, thus impeding their collaborative improvement, one of the great strengths of Open Source. I doubt that with such a restrictive definition, Open Source AI would gain any practical significance. Tragically, the text and data mining exceptions that were designed to facilitate research collaboration and innovation across borders, would only support proprietary AI models, while excluding Open Source AI. The concept of data information will help us avoid that pitfall while staying true to Open Source principles. How to get involved The OSAID co-design process is open to everyone interested in collaborating . There are many ways to get involved: Join the forum : share your comment on the drafts. Leave comment on the latest draft : provide precise feedback on the text of the latest draft. Follow the weekly recaps : subscribe to our monthly newsletter and blog to be kept up-to-date. Join the town hall meetings: we’re increasing the frequency to weekly meetings where you can learn more, ask questions and share your thoughts. Join the workshops and scheduled conferences : meet the OSI and other participants at in-person events around the world. Jordan Maris joins OSI Open Source AI Definition – Weekly update september 16 Keep up with Open Source Please leave this field empty. Δ We’ll never share your details and you can unsubscribe with a click! Get involved Mastodon Twitter LinkedIn Reddit About About Our team Board of directors Sponsors Programs Blog Press mentions Trademark Bylaws Licenses Open Source Definition Licenses License Review Process Open Standards Requirement for Software Open Source AI Open Source AI OSAI Definition Process Timeline Open Weights FAQ Checklist Forum Community Become an Individual Member Become an OSI Affiliate Affiliate Organizations Maintainers Events Forum OpenSource.net The content on this website, of which Opensource.org is the author, is licensed under a Creative Commons Attribution 4.0 International License . Opensource.org is not the author of any of the licenses reproduced on this site. Questions about the copyright in a license should be directed to the license steward. 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https://opensource.org/license/lgpl-3-0 | GNU Lesser General Public License version 3 – 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 Popular / Strong Community GNU Lesser General Public License version 3 Version 3.0 Submitted: June 29, 2007 Submitter: GNU Lesser General Public License Approved: September 5, 2007 Board minutes SPDX short identifier: LGPL-3.0-only Steward: Free Software Foundation Link to license steward's version GNU LESSER GENERAL PUBLIC LICENSE Version 3, 29 June 2007 Copyright (C) 2007 Free Software Foundation, Inc. <http://fsf.org/> Everyone is permitted to copy and distribute verbatim copies of this license document, but changing it is not allowed. This version of the GNU Lesser General Public License incorporates the terms and conditions of version 3 of the GNU General Public License, supplemented by the additional permissions listed below. 0. Additional Definitions. As used herein, “this License” refers to version 3 of the GNU Lesser General Public License, and the “GNU GPL” refers to version 3 of the GNU General Public License. “The Library” refers to a covered work governed by this License, other than an Application or a Combined Work as defined below. An “Application” is any work that makes use of an interface provided by the Library, but which is not otherwise based on the Library. Defining a subclass of a class defined by the Library is deemed a mode of using an interface provided by the Library. A “Combined Work” is a work produced by combining or linking an Application with the Library. The particular version of the Library with which the Combined Work was made is also called the “Linked Version”. 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Each version is given a distinguishing version number. If the Library as you received it specifies that a certain numbered version of the GNU Lesser General Public License “or any later version” applies to it, you have the option of following the terms and conditions either of that published version or of any later version published by the Free Software Foundation. If the Library as you received it does not specify a version number of the GNU Lesser General Public License, you may choose any version of the GNU Lesser General Public License ever published by the Free Software Foundation. If the Library as you received it specifies that a proxy can decide whether future versions of the GNU Lesser General Public License shall apply, that proxy’s public statement of acceptance of any version is permanent authorization for you to choose that version for the Library. Donate to the OSI The OSI is the authority that defines Open Source, recognized globally by individuals, companies, and public institutions. The Open Source Initiative (OSI) is a 501(c)3 public benefit corporation, founded in 1998. --> Get involved Mastodon Twitter LinkedIn Reddit About About Our team Board of directors Sponsors Programs Blog Press mentions Trademark Bylaws Licenses Open Source Definition Licenses License Review Process Open Standards Requirement for Software Open Source AI Open Source AI OSAI Definition Process Timeline Open Weights FAQ Checklist Forum Community Become an Individual Member Become an OSI Affiliate Affiliate Organizations Maintainers Events Forum OpenSource.net The content on this website, of which Opensource.org is the author, is licensed under a Creative Commons Attribution 4.0 International License . Opensource.org is not the author of any of the licenses reproduced on this site. 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https://opensource.org/license/bsd-1-clause | 1-clause BSD License – 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 Other/Miscellaneous 1-clause BSD License Version N/A Submitted: December 10, 2019 Submitter: Pedro Giffuni Approved: March 13, 2020 Board minutes SPDX short identifier: BSD-1-Clause Steward: Berkley Software Design Inc. Link to license steward's version Copyright (c) [Year] [Name of Organization] [All rights reserved]. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. THIS SOFTWARE IS PROVIDED BY [Name of Organization] “AS IS” AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL [Name of Organisation] BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. Donate to the OSI The OSI is the authority that defines Open Source, recognized globally by individuals, companies, and public institutions. The Open Source Initiative (OSI) is a 501(c)3 public benefit corporation, founded in 1998. --> Get involved Mastodon Twitter LinkedIn Reddit About About Our team Board of directors Sponsors Programs Blog Press mentions Trademark Bylaws Licenses Open Source Definition Licenses License Review Process Open Standards Requirement for Software Open Source AI Open Source AI OSAI Definition Process Timeline Open Weights FAQ Checklist Forum Community Become an Individual Member Become an OSI Affiliate Affiliate Organizations Maintainers Events Forum OpenSource.net The content on this website, of which Opensource.org is the author, is licensed under a Creative Commons Attribution 4.0 International License . Opensource.org is not the author of any of the licenses reproduced on this site. Questions about the copyright in a license should be directed to the license steward. Read our Privacy Policy Proudly powered by WordPress. Hosted by Pressable. Manage Cookie Consent To provide the best experiences, we use technologies like cookies to store and/or access device information. Consenting to these technologies will allow us to process data such as browsing behavior or unique IDs on this site. Not consenting or withdrawing consent, may adversely affect certain features and functions. Functional Functional Always active The technical storage or access is strictly necessary for the legitimate purpose of enabling the use of a specific service explicitly requested by the subscriber or user, or for the sole purpose of carrying out the transmission of a communication over an electronic communications network. Preferences Preferences The technical storage or access is necessary for the legitimate purpose of storing preferences that are not requested by the subscriber or user. Statistics Statistics The technical storage or access that is used exclusively for statistical purposes. The technical storage or access that is used exclusively for anonymous statistical purposes. Without a subpoena, voluntary compliance on the part of your Internet Service Provider, or additional records from a third party, information stored or retrieved for this purpose alone cannot usually be used to identify you. Marketing Marketing The technical storage or access is required to create user profiles to send advertising, or to track the user on a website or across several websites for similar marketing purposes. Manage options Manage services Manage {vendor_count} vendors Read more about these purposes Accept Deny View preferences Save preferences View preferences {title} {title} {title} Manage consent | 2026-01-13T08:49:40 |
https://opensource.org/license/postgresql | The PostgreSQL License – 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 Redundant with more popular The PostgreSQL License Version N/A Submitted: September 24, 2009 Submitter: Dave Page Approved: February 10, 2010 Board minutes SPDX short identifier: PostgreSQL Link to license steward's version This is a template license. The body of the license starts at the end of this paragraph. To use it, say that it is The PostgreSQL License, and then substitute the copyright year and name of the copyright holder into the body of the license. Then put the license into a prominent file (“COPYRIGHT”, “LICENSE” or “COPYING” are common names for this file) in your software distribution. Copyright (c) $YEAR, $ORGANIZATION Permission to use, copy, modify, and distribute this software and its documentation for any purpose, without fee, and without a written agreement is hereby granted, provided that the above copyright notice and this paragraph and the following two paragraphs appear in all copies. IN NO EVENT SHALL $ORGANISATION BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, INCLUDING LOST PROFITS, ARISING OUT OF THE USE OF THIS SOFTWARE AND ITS DOCUMENTATION, EVEN IF $ORGANISATION HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. $ORGANISATION SPECIFICALLY DISCLAIMS ANY WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. THE SOFTWARE PROVIDED HEREUNDER IS ON AN “AS IS” BASIS, AND $ORGANISATION HAS NO OBLIGATIONS TO PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR MODIFICATIONS. Donate to the OSI The OSI is the authority that defines Open Source, recognized globally by individuals, companies, and public institutions. The Open Source Initiative (OSI) is a 501(c)3 public benefit corporation, founded in 1998. --> Get involved Mastodon Twitter LinkedIn Reddit About About Our team Board of directors Sponsors Programs Blog Press mentions Trademark Bylaws Licenses Open Source Definition Licenses License Review Process Open Standards Requirement for Software Open Source AI Open Source AI OSAI Definition Process Timeline Open Weights FAQ Checklist Forum Community Become an Individual Member Become an OSI Affiliate Affiliate Organizations Maintainers Events Forum OpenSource.net The content on this website, of which Opensource.org is the author, is licensed under a Creative Commons Attribution 4.0 International License . Opensource.org is not the author of any of the licenses reproduced on this site. Questions about the copyright in a license should be directed to the license steward. Read our Privacy Policy Proudly powered by WordPress. Hosted by Pressable. Manage Cookie Consent To provide the best experiences, we use technologies like cookies to store and/or access device information. Consenting to these technologies will allow us to process data such as browsing behavior or unique IDs on this site. Not consenting or withdrawing consent, may adversely affect certain features and functions. Functional Functional Always active The technical storage or access is strictly necessary for the legitimate purpose of enabling the use of a specific service explicitly requested by the subscriber or user, or for the sole purpose of carrying out the transmission of a communication over an electronic communications network. Preferences Preferences The technical storage or access is necessary for the legitimate purpose of storing preferences that are not requested by the subscriber or user. Statistics Statistics The technical storage or access that is used exclusively for statistical purposes. The technical storage or access that is used exclusively for anonymous statistical purposes. Without a subpoena, voluntary compliance on the part of your Internet Service Provider, or additional records from a third party, information stored or retrieved for this purpose alone cannot usually be used to identify you. Marketing Marketing The technical storage or access is required to create user profiles to send advertising, or to track the user on a website or across several websites for similar marketing purposes. Manage options Manage services Manage {vendor_count} vendors Read more about these purposes Accept Deny View preferences Save preferences View preferences {title} {title} {title} Manage consent | 2026-01-13T08:49:40 |
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https://opensource.org/license/agpl-v3 | GNU Affero General Public License version 3 – 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 Uncategorized GNU Affero General Public License version 3 Version 3.0 Submitted: January 30, 2008 Submitter: Stefano Maffulli Approved: March 3, 2008 Board minutes SPDX short identifier: AGPL-3.0-only Steward: Free Software Foundation Link to license steward's version Copyright (C) 2007 Free Software Foundation, Inc. <http://fsf.org/> Everyone is permitted to copy and distribute verbatim copies of this license document, but changing it is not allowed. Preamble The GNU Affero General Public License is a free, copyleft license for software and other kinds of works, specifically designed to ensure cooperation with the community in the case of network server software. The licenses for most software and other practical works are designed to take away your freedom to share and change the works. By contrast, our General Public Licenses are intended to guarantee your freedom to share and change all versions of a program–to make sure it remains free software for all its users. When we speak of free software, we are referring to freedom, not price. Our General Public Licenses are designed to make sure that you have the freedom to distribute copies of free software (and charge for them if you wish), that you receive source code or can get it if you want it, that you can change the software or use pieces of it in new free programs, and that you know you can do these things. Developers that use our General Public Licenses protect your rights with two steps: (1) assert copyright on the software, and (2) offer you this License which gives you legal permission to copy, distribute and/or modify the software. A secondary benefit of defending all users’ freedom is that improvements made in alternate versions of the program, if they receive widespread use, become available for other developers to incorporate. Many developers of free software are heartened and encouraged by the resulting cooperation. However, in the case of software used on network servers, this result may fail to come about. The GNU General Public License permits making a modified version and letting the public access it on a server without ever releasing its source code to the public. The GNU Affero General Public License is designed specifically to ensure that, in such cases, the modified source code becomes available to the community. It requires the operator of a network server to provide the source code of the modified version running there to the users of that server. Therefore, public use of a modified version, on a publicly accessible server, gives the public access to the source code of the modified version. 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If conditions are imposed on you (whether by court order, agreement or otherwise) that contradict the conditions of this License, they do not excuse you from the conditions of this License. If you cannot convey a covered work so as to satisfy simultaneously your obligations under this License and any other pertinent obligations, then as a consequence you may not convey it at all. For example, if you agree to terms that obligate you to collect a royalty for further conveying from those to whom you convey the Program, the only way you could satisfy both those terms and this License would be to refrain entirely from conveying the Program. 13. Remote Network Interaction; Use with the GNU General Public License. Notwithstanding any other provision of this License, if you modify the Program, your modified version must prominently offer all users interacting with it remotely through a computer network (if your version supports such interaction) an opportunity to receive the Corresponding Source of your version by providing access to the Corresponding Source from a network server at no charge, through some standard or customary means of facilitating copying of software. This Corresponding Source shall include the Corresponding Source for any work covered by version 3 of the GNU General Public License that is incorporated pursuant to the following paragraph. Notwithstanding any other provision of this License, you have permission to link or combine any covered work with a work licensed under version 3 of the GNU General Public License into a single combined work, and to convey the resulting work. The terms of this License will continue to apply to the part which is the covered work, but the work with which it is combined will remain governed by version 3 of the GNU General Public License. 14. Revised Versions of this License. The Free Software Foundation may publish revised and/or new versions of the GNU Affero General Public License from time to time. Such new versions will be similar in spirit to the present version, but may differ in detail to address new problems or concerns. Each version is given a distinguishing version number. If the Program specifies that a certain numbered version of the GNU Affero General Public License “or any later version” applies to it, you have the option of following the terms and conditions either of that numbered version or of any later version published by the Free Software Foundation. If the Program does not specify a version number of the GNU Affero General Public License, you may choose any version ever published by the Free Software Foundation. If the Program specifies that a proxy can decide which future versions of the GNU Affero General Public License can be used, that proxy’s public statement of acceptance of a version permanently authorizes you to choose that version for the Program. Later license versions may give you additional or different permissions. However, no additional obligations are imposed on any author or copyright holder as a result of your choosing to follow a later version. 15. Disclaimer of Warranty. THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY APPLICABLE LAW. EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM “AS IS” WITHOUT WARRANTY OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM IS WITH YOU. SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF ALL NECESSARY SERVICING, REPAIR OR CORRECTION. 16. Limitation of Liability. IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS), EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGES. 17. Interpretation of Sections 15 and 16. If the disclaimer of warranty and limitation of liability provided above cannot be given local legal effect according to their terms, reviewing courts shall apply local law that most closely approximates an absolute waiver of all civil liability in connection with the Program, unless a warranty or assumption of liability accompanies a copy of the Program in return for a fee. END OF TERMS AND CONDITIONS How to Apply These Terms to Your New Programs If you develop a new program, and you want it to be of the greatest possible use to the public, the best way to achieve this is to make it free software which everyone can redistribute and change under these terms. To do so, attach the following notices to the program. It is safest to attach them to the start of each source file to most effectively state the exclusion of warranty; and each file should have at least the “copyright” line and a pointer to where the full notice is found. <one line to give the program's name and a brief idea of what it does.> Copyright (C) <year> <name of author> This program is free software: you can redistribute it and/or modify it under the terms of the GNU Affero General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Affero General Public License for more details. You should have received a copy of the GNU Affero General Public License along with this program. If not, see <http://www.gnu.org/licenses/>. Also add information on how to contact you by electronic and paper mail. If your software can interact with users remotely through a computer network, you should also make sure that it provides a way for users to get its source. For example, if your program is a web application, its interface could display a “Source” link that leads users to an archive of the code. There are many ways you could offer source, and different solutions will be better for different programs; see section 13 for the specific requirements. You should also get your employer (if you work as a programmer) or school, if any, to sign a “copyright disclaimer” for the program, if necessary. For more information on this, and how to apply and follow the GNU AGPL, see <http://www.gnu.org/licenses/>. Donate to the OSI The OSI is the authority that defines Open Source, recognized globally by individuals, companies, and public institutions. The Open Source Initiative (OSI) is a 501(c)3 public benefit corporation, founded in 1998. --> Get involved Mastodon Twitter LinkedIn Reddit About About Our team Board of directors Sponsors Programs Blog Press mentions Trademark Bylaws Licenses Open Source Definition Licenses License Review Process Open Standards Requirement for Software Open Source AI Open Source AI OSAI Definition Process Timeline Open Weights FAQ Checklist Forum Community Become an Individual Member Become an OSI Affiliate Affiliate Organizations Maintainers Events Forum OpenSource.net The content on this website, of which Opensource.org is the author, is licensed under a Creative Commons Attribution 4.0 International License . Opensource.org is not the author of any of the licenses reproduced on this site. Questions about the copyright in a license should be directed to the license steward. Read our Privacy Policy Proudly powered by WordPress. Hosted by Pressable. Manage Cookie Consent To provide the best experiences, we use technologies like cookies to store and/or access device information. Consenting to these technologies will allow us to process data such as browsing behavior or unique IDs on this site. Not consenting or withdrawing consent, may adversely affect certain features and functions. Functional Functional Always active The technical storage or access is strictly necessary for the legitimate purpose of enabling the use of a specific service explicitly requested by the subscriber or user, or for the sole purpose of carrying out the transmission of a communication over an electronic communications network. Preferences Preferences The technical storage or access is necessary for the legitimate purpose of storing preferences that are not requested by the subscriber or user. Statistics Statistics The technical storage or access that is used exclusively for statistical purposes. The technical storage or access that is used exclusively for anonymous statistical purposes. Without a subpoena, voluntary compliance on the part of your Internet Service Provider, or additional records from a third party, information stored or retrieved for this purpose alone cannot usually be used to identify you. Marketing Marketing The technical storage or access is required to create user profiles to send advertising, or to track the user on a website or across several websites for similar marketing purposes. Manage options Manage services Manage {vendor_count} vendors Read more about these purposes Accept Deny View preferences Save preferences View preferences {title} {title} {title} Manage consent | 2026-01-13T08:49:40 |
https://opensource.org/blog/the-approved-open-source-licenses-never-looked-better | The Approved Open Source Licenses never looked better – 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 September 7, 2023 News Stefano Maffulli The Approved Open Source Licenses never looked better A license-review project has been underway with the goal of creating a systematic and well-ordered database of all the licenses that have been submitted to OSI for approval since the time of the organization’s founding. Giulia Dellanoce was brought on as an intern to complete this Approval Registry project, and we’re very thankful for her work in completing this mission. The OSI Approved Licenses database is now available on the OSI website! The Open Source community needs a resource to confidently and easily identify licenses that have gained OSI approval, and now they have it. This Approval Registry offers a comprehensive and authoritative listing of all licenses so organizations know that the license they choose for their project allows their software to be freely used, modified, shared and monetized in compliance with the Open Source Definition. The building of the Approval Registry required the review of decades worth of material, including: Review of the public license review mailing lists from 2008 – 2023 Review of the license discuss mailing lists from 1999 – 2007 Review of the public board meeting minutes 2005 – 2023 The license pages have been updated to include the status of each license, whether it has been approved, withdrawn, voluntarily retired or rejected by the board. The metadata of each license has also been updated with links to relevant documentation. More valuable licensing information to come There are plans for future expansion of this project, as the work is never done. Greater details about licenses will continue to be added. As licenses move through the process of being considered for OSI approval, a current status will be listed in the database. Also, OSI has assembled a listing of non-approved licenses for easy searching that will be located on the website at a future date. Another future expansion is the development of an API service that can answer questions like “is this license approved?” There is already a community-contributed API service but it’s not carefully maintained to match the actual list. If you have uses for consuming the database of Approved Licenses via API please get in touch . If you think we’ve missed something, a license page looks wrong or you have access to email board archives from the past, please let us know. File a ticket or contact us . Thank you to Giulia for this important work, and to Slim.AI for the donation to OSI that supported this project so they and other companies can have a trustable, centralized list of Open Source Approved License®. Diverse Open Source uses highlight need for precision in Cyber Resilience Act Open Source Initiative Hosts 2nd Deep Dive AI Event, Aims to Define ‘Open Source’ for AI Keep up with Open Source Please leave this field empty. Δ We’ll never share your details and you can unsubscribe with a click! Get involved Mastodon Twitter LinkedIn Reddit About About Our team Board of directors Sponsors Programs Blog Press mentions Trademark Bylaws Licenses Open Source Definition Licenses License Review Process Open Standards Requirement for Software Open Source AI Open Source AI OSAI Definition Process Timeline Open Weights FAQ Checklist Forum Community Become an Individual Member Become an OSI Affiliate Affiliate Organizations Maintainers Events Forum OpenSource.net The content on this website, of which Opensource.org is the author, is licensed under a Creative Commons Attribution 4.0 International License . Opensource.org is not the author of any of the licenses reproduced on this site. Questions about the copyright in a license should be directed to the license steward. Read our Privacy Policy Proudly powered by WordPress. Hosted by Pressable. Manage Cookie Consent To provide the best experiences, we use technologies like cookies to store and/or access device information. Consenting to these technologies will allow us to process data such as browsing behavior or unique IDs on this site. Not consenting or withdrawing consent, may adversely affect certain features and functions. Functional Functional Always active The technical storage or access is strictly necessary for the legitimate purpose of enabling the use of a specific service explicitly requested by the subscriber or user, or for the sole purpose of carrying out the transmission of a communication over an electronic communications network. Preferences Preferences The technical storage or access is necessary for the legitimate purpose of storing preferences that are not requested by the subscriber or user. Statistics Statistics The technical storage or access that is used exclusively for statistical purposes. The technical storage or access that is used exclusively for anonymous statistical purposes. Without a subpoena, voluntary compliance on the part of your Internet Service Provider, or additional records from a third party, information stored or retrieved for this purpose alone cannot usually be used to identify you. Marketing Marketing The technical storage or access is required to create user profiles to send advertising, or to track the user on a website or across several websites for similar marketing purposes. Manage options Manage services Manage {vendor_count} vendors Read more about these purposes Accept Deny View preferences Save preferences View preferences {title} {title} {title} Manage consent | 2026-01-13T08:49:40 |
https://opensource.org/blog/author/nvidal | Nick Vidal – 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 Author Archives: Nick Vidal Top Open Source licenses in 2025 Top Open Source licenses in 2025 The top 20 OSI-Approved licenses most frequently sought out by our community in 2025 based on number of pageviews. December 17, 2025 Celebrating Generosity and Growth in the OSI Community Celebrating Generosity and Growth in the OSI Community Members Newsletter – December 2025 As we reach the final weeks of the year, I find myself reflecting on a season that invites both gratitude and giving, two values that feel especially resonant for our community. Serving as Interim Executive Director these past months has only deepened my appreciation for the people who make Open Source possible. December 12, 2025 Open Source Without Borders: Reflections from COSCon’25 Open Source Without Borders: Reflections from COSCon’25 Witnessing China’s Deepseek moment firsthand and learning about Kaiyuanshe’s dedication for over a decade building and championing China’s Open Source community with such vision and commitment is truly inspiring. December 10, 2025 DPGA’s Annual Members Meeting: Advancing Open Source & DPGs for the Public Good DPGA’s Annual Members Meeting: Advancing Open Source & DPGs for the Public Good The DPGA’s Annual Members Meeting highlighted several priorities that resonate strongly with OSI’s mission, including promoting Open Source software, advancing public-interest AI, and strengthening global collaboration. December 6, 2025 OFA Symposium 2025 and the Launch of the Open Technology Research Network (OTRN) OFA Symposium 2025 and the Launch of the Open Technology Research Network (OTRN) The OpenForum Academy Symposium 2025 organized by OpenForum Europe (OFE) brought together researchers, policymakers, practitioners, and open technology leaders for two days of deep inquiry into how open technologies shape our economies, infrastructures, and societies. December 3, 2025 Must-See Recordings Now Available Must-See Recordings Now Available Members Newsletter – November 2025 October was punctuated by lots of direct connections with the community. In this month’s newsletter, we’ll highlight our experience through our annual “State of the Source” track at All Things Open; discuss our advocacy on behalf of the Open Source community through our public policy work; and share the recorded sessions from outstanding contributors to the Deep Dive: Data Governance virtual event. November 6, 2025 State of the Source at ATO 2025: State of the “Open” AI State of the Source at ATO 2025: State of the “Open” AI The OSI hosted the State of the Source Track at ATO. Gabriel Toscano from Duke University led the State of the “Open” AI session, unpacking what it really means when models call themselves open. November 5, 2025 State of the Source at ATO 2025: AI and Data Governance State of the Source at ATO 2025: AI and Data Governance The OSI hosted the State of the Source Track at ATO. Katie Steen-James and Nick Vidal participated in a fireside chat (Policy: AI / Data Governance) to discuss the latest AI and data governance policy developments. November 4, 2025 State of the Source at ATO 2025: Cybersecurity State of the Source at ATO 2025: Cybersecurity The OSI hosted the State of the Source Track at ATO. Katie Steen-James, Jeremy Stanley, Barry Peddycord III, and Bob Callaway led the panel Policy Cybersecurity, with updates on SBOMs, the Cyber Resilience Act, and what developers need to know. November 4, 2025 State of the Source at ATO 2025: Sustaining the Open Source Ecosystem State of the Source at ATO 2025: Sustaining the Open Source Ecosystem The OSI hosted the State of the Source Track at ATO. Ruth Suehle, Patrick Masson, Amir Montazery, and Duane O’Brien organized the panel Beyond the Bottom Line: Sustaining the Open Source Ecosystem, exploring real-world approaches to Sustaining Open Source, from new funding models to global procurement policies. November 3, 2025 State of the Source at ATO 2025: Licensing 201 State of the Source at ATO 2025: Licensing 201 The OSI hosted the State of the Source Track at ATO. Pamela Chestek, emeritus OSI Board member, opened the track with Licensing 201, an advanced but practical look at how licenses get approved and why the right choice matters for community health. October 31, 2025 Participate in the 2026 State of Open Source Survey Participate in the 2026 State of Open Source Survey The Open Source Initiative (OSI) is once again partnering with Perforce OpenLogic & Zend, in collaboration with the Eclipse Foundation, for the 2026 State of Open Source Survey, the industry’s most comprehensive study of global Open Source adoption trends. October 22, 2025 Posts pagination 1 2 … 8 Keep up with Open Source Please leave this field empty. Δ We’ll never share your details and you can unsubscribe with a click! Get involved Mastodon Twitter LinkedIn Reddit About About Our team Board of directors Sponsors Programs Blog Press mentions Trademark Bylaws Licenses Open Source Definition Licenses License Review Process Open Standards Requirement for Software Open Source AI Open Source AI OSAI Definition Process Timeline Open Weights FAQ Checklist Forum Community Become an Individual Member Become an OSI Affiliate Affiliate Organizations Maintainers Events Forum OpenSource.net The content on this website, of which Opensource.org is the author, is licensed under a Creative Commons Attribution 4.0 International License . Opensource.org is not the author of any of the licenses reproduced on this site. Questions about the copyright in a license should be directed to the license steward. Read our Privacy Policy Proudly powered by WordPress. Hosted by Pressable. Manage Cookie Consent To provide the best experiences, we use technologies like cookies to store and/or access device information. Consenting to these technologies will allow us to process data such as browsing behavior or unique IDs on this site. Not consenting or withdrawing consent, may adversely affect certain features and functions. Functional Functional Always active The technical storage or access is strictly necessary for the legitimate purpose of enabling the use of a specific service explicitly requested by the subscriber or user, or for the sole purpose of carrying out the transmission of a communication over an electronic communications network. Preferences Preferences The technical storage or access is necessary for the legitimate purpose of storing preferences that are not requested by the subscriber or user. Statistics Statistics The technical storage or access that is used exclusively for statistical purposes. The technical storage or access that is used exclusively for anonymous statistical purposes. Without a subpoena, voluntary compliance on the part of your Internet Service Provider, or additional records from a third party, information stored or retrieved for this purpose alone cannot usually be used to identify you. Marketing Marketing The technical storage or access is required to create user profiles to send advertising, or to track the user on a website or across several websites for similar marketing purposes. Manage options Manage services Manage {vendor_count} vendors Read more about these purposes Accept Deny View preferences Save preferences View preferences {title} {title} {title} Manage consent | 2026-01-13T08:49:40 |
https://opensource.org/license/afl-3-0-php | Academic Free License v. 3.0 – 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 Redundant with more popular Academic Free License v. 3.0 Version 3.0 Submitter: Lawrence Rosen SPDX short identifier: AFL-3.0 This Academic Free License (the “License”) applies to any original work of authorship (the “Original Work”) whose owner (the “Licensor”) has placed the following licensing notice adjacent to the copyright notice for the Original Work: Licensed under the Academic Free License version 3.0 1) Grant of Copyright License. Licensor grants You a worldwide, royalty-free, non-exclusive, sublicensable license, for the duration of the copyright, to do the following: a) to reproduce the Original Work in copies, either alone or as part of a collective work; b) to translate, adapt, alter, transform, modify, or arrange the Original Work, thereby creating derivative works (“Derivative Works”) based upon the Original Work; c) to distribute or communicate copies of the Original Work and Derivative Works to the public, under any license of your choice that does not contradict the terms and conditions, including Licensor’s reserved rights and remedies, in this Academic Free License ; d) to perform the Original Work publicly; and e) to display the Original Work publicly. 2) Grant of Patent License. Licensor grants You a worldwide, royalty-free, non-exclusive, sublicensable license, under patent claims owned or controlled by the Licensor that are embodied in the Original Work as furnished by the Licensor, for the duration of the patents, to make, use, sell, offer for sale, have made, and import the Original Work and Derivative Works. 3) Grant of Source Code License. The term “Source Code” means the preferred form of the Original Work for making modifications to it and all available documentation describing how to modify the Original Work. Licensor agrees to provide a machine-readable copy of the Source Code of the Original Work along with each copy of the Original Work that Licensor distributes. Licensor reserves the right to satisfy this obligation by placing a machine-readable copy of the Source Code in an information repository reasonably calculated to permit inexpensive and convenient access by You for as long as Licensor continues to distribute the Original Work. 4) Exclusions From License Grant. Neither the names of Licensor, nor the names of any contributors to the Original Work, nor any of their trademarks or service marks, may be used to endorse or promote products derived from this Original Work without express prior permission of the Licensor. Except as expressly stated herein, nothing in this License grants any license to Licensor’s trademarks, copyrights, patents, trade secrets or any other intellectual property. No patent license is granted to make, use, sell, offer for sale, have made, or import embodiments of any patent claims other than the licensed claims defined in Section 2. No license is granted to the trademarks of Licensor even if such marks are included in the Original Work. Nothing in this License shall be interpreted to prohibit Licensor from licensing under terms different from this License any Original Work that Licensor otherwise would have a right to license. 5) External Deployment. The term “External Deployment” means the use, distribution, or communication of the Original Work or Derivative Works in any way such that the Original Work or Derivative Works may be used by anyone other than You, whether those works are distributed or communicated to those persons or made available as an application intended for use over a network. As an express condition for the grants of license hereunder, You must treat any External Deployment by You of the Original Work or a Derivative Work as a distribution under section 1(c). 6) Attribution Rights. You must retain, in the Source Code of any Derivative Works that You create, all copyright, patent, or trademark notices from the Source Code of the Original Work, as well as any notices of licensing and any descriptive text identified therein as an “Attribution Notice.” You must cause the Source Code for any Derivative Works that You create to carry a prominent Attribution Notice reasonably calculated to inform recipients that You have modified the Original Work. 7) Warranty of Provenance and Disclaimer of Warranty. Licensor warrants that the copyright in and to the Original Work and the patent rights granted herein by Licensor are owned by the Licensor or are sublicensed to You under the terms of this License with the permission of the contributor(s) of those copyrights and patent rights. Except as expressly stated in the immediately preceding sentence, the Original Work is provided under this License on an “AS IS” BASIS and WITHOUT WARRANTY, either express or implied, including, without limitation, the warranties of non-infringement, merchantability or fitness for a particular purpose. THE ENTIRE RISK AS TO THE QUALITY OF THE ORIGINAL WORK IS WITH YOU. This DISCLAIMER OF WARRANTY constitutes an essential part of this License. No license to the Original Work is granted by this License except under this disclaimer. 8) Limitation of Liability. Under no circumstances and under no legal theory, whether in tort (including negligence), contract, or otherwise, shall the Licensor be liable to anyone for any indirect, special, incidental, or consequential damages of any character arising as a result of this License or the use of the Original Work including, without limitation, damages for loss of goodwill, work stoppage, computer failure or malfunction, or any and all other commercial damages or losses. This limitation of liability shall not apply to the extent applicable law prohibits such limitation. 9) Acceptance and Termination. If, at any time, You expressly assented to this License, that assent indicates your clear and irrevocable acceptance of this License and all of its terms and conditions. If You distribute or communicate copies of the Original Work or a Derivative Work, You must make a reasonable effort under the circumstances to obtain the express assent of recipients to the terms of this License. This License conditions your rights to undertake the activities listed in Section 1, including your right to create Derivative Works based upon the Original Work, and doing so without honoring these terms and conditions is prohibited by copyright law and international treaty. Nothing in this License is intended to affect copyright exceptions and limitations (including “fair use” or “fair dealing”). This License shall terminate immediately and You may no longer exercise any of the rights granted to You by this License upon your failure to honor the conditions in Section 1(c). 10) Termination for Patent Action. This License shall terminate automatically and You may no longer exercise any of the rights granted to You by this License as of the date You commence an action, including a cross-claim or counterclaim, against Licensor or any licensee alleging that the Original Work infringes a patent. This termination provision shall not apply for an action alleging patent infringement by combinations of the Original Work with other software or hardware. 11) Jurisdiction, Venue and Governing Law. Any action or suit relating to this License may be brought only in the courts of a jurisdiction wherein the Licensor resides or in which Licensor conducts its primary business, and under the laws of that jurisdiction excluding its conflict-of-law provisions. The application of the United Nations Convention on Contracts for the International Sale of Goods is expressly excluded. Any use of the Original Work outside the scope of this License or after its termination shall be subject to the requirements and penalties of copyright or patent law in the appropriate jurisdiction. This section shall survive the termination of this License. 12) Attorneys’ Fees. In any action to enforce the terms of this License or seeking damages relating thereto, the prevailing party shall be entitled to recover its costs and expenses, including, without limitation, reasonable attorneys’ fees and costs incurred in connection with such action, including any appeal of such action. This section shall survive the termination of this License. 13) Miscellaneous. If any provision of this License is held to be unenforceable, such provision shall be reformed only to the extent necessary to make it enforceable. 14) Definition of “You” in This License. “You” throughout this License, whether in upper or lower case, means an individual or a legal entity exercising rights under, and complying with all of the terms of, this License. For legal entities, “You” includes any entity that controls, is controlled by, or is under common control with you. For purposes of this definition, “control” means (i) the power, direct or indirect, to cause the direction or management of such entity, whether by contract or otherwise, or (ii) ownership of fifty percent (50%) or more of the outstanding shares, or (iii) beneficial ownership of such entity. 15) Right to Use. You may use the Original Work in all ways not otherwise restricted or conditioned by this License or by law, and Licensor promises not to interfere with or be responsible for such uses by You. 16) Modification of This License. This License is Copyright © 2005 Lawrence Rosen. Permission is granted to copy, distribute, or communicate this License without modification. Nothing in this License permits You to modify this License as applied to the Original Work or to Derivative Works. However, You may modify the text of this License and copy, distribute or communicate your modified version (the “Modified License”) and apply it to other original works of authorship subject to the following conditions: (i) You may not indicate in any way that your Modified License is the “Academic Free License” or “AFL” and you may not use those names in the name of your Modified License; (ii) You must replace the notice specified in the first paragraph above with the notice “Licensed under <insert your license name here>” or with a notice of your own that is not confusingly similar to the notice in this License; and (iii) You may not claim that your original works are open source software unless your Modified License has been approved by Open Source Initiative (OSI) and You comply with its license review and certification process. Donate to the OSI The OSI is the authority that defines Open Source, recognized globally by individuals, companies, and public institutions. The Open Source Initiative (OSI) is a 501(c)3 public benefit corporation, founded in 1998. --> Get involved Mastodon Twitter LinkedIn Reddit About About Our team Board of directors Sponsors Programs Blog Press mentions Trademark Bylaws Licenses Open Source Definition Licenses License Review Process Open Standards Requirement for Software Open Source AI Open Source AI OSAI Definition Process Timeline Open Weights FAQ Checklist Forum Community Become an Individual Member Become an OSI Affiliate Affiliate Organizations Maintainers Events Forum OpenSource.net The content on this website, of which Opensource.org is the author, is licensed under a Creative Commons Attribution 4.0 International License . Opensource.org is not the author of any of the licenses reproduced on this site. Questions about the copyright in a license should be directed to the license steward. Read our Privacy Policy Proudly powered by WordPress. Hosted by Pressable. Manage Cookie Consent To provide the best experiences, we use technologies like cookies to store and/or access device information. Consenting to these technologies will allow us to process data such as browsing behavior or unique IDs on this site. Not consenting or withdrawing consent, may adversely affect certain features and functions. Functional Functional Always active The technical storage or access is strictly necessary for the legitimate purpose of enabling the use of a specific service explicitly requested by the subscriber or user, or for the sole purpose of carrying out the transmission of a communication over an electronic communications network. Preferences Preferences The technical storage or access is necessary for the legitimate purpose of storing preferences that are not requested by the subscriber or user. Statistics Statistics The technical storage or access that is used exclusively for statistical purposes. The technical storage or access that is used exclusively for anonymous statistical purposes. Without a subpoena, voluntary compliance on the part of your Internet Service Provider, or additional records from a third party, information stored or retrieved for this purpose alone cannot usually be used to identify you. Marketing Marketing The technical storage or access is required to create user profiles to send advertising, or to track the user on a website or across several websites for similar marketing purposes. Manage options Manage services Manage {vendor_count} vendors Read more about these purposes Accept Deny View preferences Save preferences View preferences {title} {title} {title} Manage consent | 2026-01-13T08:49:40 |
https://dev.to/ackermannq/building-profiler0x0-an-arcade-style-github-profile-analyzer-that-doesnt-judge-hcp | Building profiler0x0: An Arcade-Style GitHub Profile Analyzer That Doesn't Judge - 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 ackermannQ Posted on Jan 12 Building profiler0x0: An Arcade-Style GitHub Profile Analyzer That Doesn't Judge # webdev # github # typescript # node What if analyzing your GitHub profile felt like unlocking a character in an arcade game instead of staring at a leaderboard? That's the idea behind profiler0x0 🎮 - a project I built that transforms GitHub profiles into collectible arcade-style cards with developer archetypes, signal analysis, and actionable insights. No ranking. No judgment. Just signals. The Philosophy Most developer profile analyzers focus on metrics that create comparison and competition. Stars, followers, contributions - they all feed into a ranking system that can feel demotivating or reductive. profiler0x0 takes a different approach. Instead of asking "How do you compare to others?", it asks "What does your profile signal about your development style?" The result is a fun, shareable identity that celebrates different developer patterns without creating hierarchy. The Five Signals The core of profiler0x0 is analyzing five key signals from your GitHub activity: 🔄 Consistency How steady is your activity pattern? We analyze update patterns across months to detect steady builders vs. bursty sprinters. 🎯 Focus Do you maintain a few meaningful projects or explore many ideas? We measure the ratio of active vs. abandoned repositories. 🔧 Maintenance How well do you keep projects polished? We check for READMEs, licenses, recent updates, and general repository health. 📖 Narrative Can others understand what you build? We analyze README quality, topics, and how well you tell your project stories. 🤝 Collaboration How much do you work with others? (Estimate only) We use forks and contributions as proxies. Each signal is calculated from publicly available GitHub data and scored 0-100, then mapped to developer archetypes. Developer Archetypes Based on your signal combinations, profiler0x0 assigns you one of eight archetypes: The Maintainer : High maintenance + consistency. Keeps projects alive past the hype. The Silent Builder : High consistency, low narrative. Builds quietly, needs clearer story. The Prototype Machine : Low focus, generates ideas fast. Needs more finishes. The Specialist : High focus. Deep investment in a few domains. The Archivist : High narrative + maintenance. Documents well, shares knowledge. The Comeback Kid : Strong base, ready to return. The Hype Surfer : Rides trends, can convert spikes. The Ghost : Profile needs a flagship project. Each archetype comes with a rarity level (Common, Rare, Epic, Legendary) based on how distinctive your signal pattern is - not how "good" it is. The Arcade Card System Your profile becomes a collectible card with: Level : Calculated from account age, active repos, and quality metrics (1-50) Stats : RPG-style attributes (GRIT, FOCUS, CRAFT, AURA) derived from signals Perks : Unlocked based on signal thresholds (e.g., "README Master", "Long-Term Builder") Rarity : Visual distinction based on signal patterns Here's an example of how signals map to stats: // GRIT: consistency + maintenance blend (endurance, reliability) const grit = Math . round ( ( signals . consistency . score * 0.6 + signals . maintenance . score * 0.4 ) ); // FOCUS: direct mapping of focus score const focus = signals . focus . score ; // CRAFT: maintenance + narrative blend (polish, professionalism) const craft = Math . round ( ( signals . maintenance . score * 0.6 + signals . narrative . score * 0.4 ) ); // AURA: narrative + distinctiveness (visibility, presence) const aura = Math . round ( ( signals . narrative . score * 0.7 + distinctiveness * 0.3 ) ); Enter fullscreen mode Exit fullscreen mode Tech Stack Backend Runtime : Node.js + TypeScript Framework : Fastify (lightweight and fast) Testing : Vitest (113 tests: 91 unit + 16 integration + 6 validation) Validation : Zod schemas for request/response validation Data Source : GitHub REST API Caching : In-memory (10min TTL) Frontend Framework : Next.js 15 (App Router) UI Library : React 19 Styling : Tailwind CSS with custom arcade aesthetics Language : TypeScript Animations : CSS + custom neon glow effects Architecture Highlights Signal Calculation Signals are computed from repository data with careful attention to edge cases: function computeConsistency ( repos : GitHubRepo []): SignalDetails { if ( repos . length === 0 ) { return { score : 0 , label : ' none ' , explanation : ' No repositories ' , metrics : {} }; } // Group updates by month const monthlyUpdates = new Map < string , number > (); repos . forEach ( repo => { const month = repo . updatedAt . substring ( 0 , 7 ); // YYYY-MM monthlyUpdates . set ( month , ( monthlyUpdates . get ( month ) || 0 ) + 1 ); }); // Calculate coefficient of variation const updateCounts = Array . from ( monthlyUpdates . values ()); const mean = updateCounts . reduce (( a , b ) => a + b , 0 ) / updateCounts . length ; const variance = updateCounts . reduce (( sum , val ) => sum + Math . pow ( val - mean , 2 ), 0 ) / updateCounts . length ; const stdDev = Math . sqrt ( variance ); const cv = mean > 0 ? stdDev / mean : 1 ; // Lower CV = more consistent = higher score const score = Math . max ( 0 , Math . min ( 100 , Math . round ( 100 - ( cv * 50 )))); // ... label and explanation logic } Enter fullscreen mode Exit fullscreen mode Archetype Selection Archetypes are selected based on signal combinations using a decision tree: export function selectArchetype ( signals : Signals ): Archetype { const scores = { consistency : signals . consistency . score , focus : signals . focus . score , maintenance : signals . maintenance . score , narrative : signals . narrative . score , collaboration : signals . collaboration . score }; // Ghost: Very low overall activity if ( avgScore < 20 && maxScore < 35 ) { return createArchetype ( ' ghost ' , signals , ' Low overall signal scores ' ); } // Maintainer: High maintenance + high consistency if ( scores . maintenance >= 65 && scores . consistency >= 60 ) { return createArchetype ( ' maintainer ' , signals , ' High maintenance and consistent activity ' ); } // ... more archetype logic } Enter fullscreen mode Exit fullscreen mode API Design The API is simple and focused: // GET /api/analyze/:username { " username " : " octocat " , " profile " : { " name " : " ... " , " avatarUrl " : " ... " }, " signals " : { " consistency " : { " score " : 72 , " label " : " steady " , ... }, " focus " : { " score " : 65 , " label " : " moderate " , ... }, // ... }, " archetype " : { " id " : " maintainer " , " name " : " The Maintainer " , " rarity " : " epic " , // ... }, " card " : { " level " : 18 , " stats " : { " GRIT " : 81 , " FOCUS " : 65 , " CRAFT " : 78 , " AURA " : 72 }, " perks " : [ " README Master " , " Long-Term Builder " ] }, " tips " : [ { " title " : " Add more READMEs " , " why " : " ... " , " impact " : " Medium " } ] } Enter fullscreen mode Exit fullscreen mode Testing Strategy With 113 passing tests, the project has comprehensive coverage: Unit Tests (91) : Signal calculations, archetype selection, card generation Integration Tests (16) : API routes, cache behavior, schema validation Validation Tests (6) : Username validation with helpful error messages Example test: describe ( ' computeConsistency ' , () => { it ( ' should score high for steady monthly updates ' , () => { const repos = generateReposWithMonthlyUpdates ( 12 , 5 ); // 12 months, 5 updates each const result = computeConsistency ( repos ); expect ( result . score ). toBeGreaterThan ( 70 ); expect ( result . label ). toBe ( ' steady ' ); }); it ( ' should score low for bursty activity ' , () => { const repos = [ ... generateReposWithMonthlyUpdates ( 2 , 50 ), // 2 months with 50 updates ... generateReposWithMonthlyUpdates ( 10 , 0 ) // 10 months with 0 updates ]; const result = computeConsistency ( repos ); expect ( result . score ). toBeLessThan ( 40 ); expect ( result . label ). toBe ( ' bursty ' ); }); }); Enter fullscreen mode Exit fullscreen mode The UI: Arcade Aesthetics The frontend uses Tailwind CSS with custom neon color schemes and glow effects: /* Custom neon colors */ --neon-cyan : #00 f0ff ; --neon-purple : #a855f7 ; --neon-pink : #ec4899 ; --neon-blue : #3 b82f6 ; /* Glow effects */ .shadow-neon { box-shadow : 0 0 20px rgba ( 168 , 85 , 247 , 0.5 ); } /* Animated gradients */ .bg-gradient-to-r { background : linear-gradient ( to right , var ( --neon-cyan ), var ( --neon-purple )); } Enter fullscreen mode Exit fullscreen mode The result is a retro-futuristic aesthetic that makes profile analysis feel like a game. What I Learned Building profiler0x0 taught me several valuable lessons: Philosophy matters : Starting with "no ranking, no judgment" shaped every design decision and made the project more inclusive. Signal design is hard : Creating meaningful signals from limited public data requires careful thought about what you're actually measuring. Testing pays off : The 113 tests caught numerous edge cases and made refactoring safe. Simple APIs win : A single endpoint ( /api/analyze/:username ) is easier to use and maintain than a complex REST API. Aesthetics enhance UX : The arcade theme makes the tool more engaging and shareable. Try It Out You can check it out , if this resonates with you. I would love to have your feedback and improvement ideas! Limitations & Future Work profiler0x0 is an MVP with known limitations: Can't see private repos or internal work Collaboration signal is perfectible (no PR/issue data in MVP) New accounts will have low signals (not enough data) Optimized for open-source activity patterns Future enhancements could include: More sophisticated collaboration signals (PRs, issues) Historical trend analysis Custom archetype definitions Export/share functionality improvements Conclusion profiler0x0 demonstrates that developer tools don't have to be competitive or judgmental. By focusing on signals rather than rankings, we can create tools that celebrate different development styles and help developers understand their profiles in new ways. The arcade aesthetic makes it fun, but the real value is in the insights - actionable tips that help you level up your GitHub profile based on what you actually want to signal. No ranking. No judgment. Just signals. 🎮 Top comments (2) Subscribe Personal Trusted User Create template Templates let you quickly answer FAQs or store snippets for re-use. Submit Preview Dismiss Collapse Expand Nhi Nguyen Nhi Nguyen Nhi Nguyen Follow Joined Jul 30, 2025 • Jan 12 Dropdown menu Copy link Hide Nice, just test my github account. Really interesting card. But the score on the card is a little bit mis-guided. It could be better if you add a small information explanation button for reader to understand the score meaning. Like comment: Like comment: 2 likes Like Comment button Reply Collapse Expand ackermannQ ackermannQ ackermannQ Follow 🛠️ Senior Full-Stack Developer · React, Node.js, TypeScript 🧠 I design developer tools that scale - clean code, smart audits 🚀 Passionated about helping dev write safer code Joined May 17, 2025 • Jan 12 • Edited on Jan 12 • Edited Dropdown menu Copy link Hide Thanks for your feedback! I'll make sure to implement this shortly then :) You actually have a bit more information here , accessible from the main page Like comment: Like comment: 1 like Like Comment button Reply Code of Conduct • Report abuse Are you sure you want to hide this comment? It will become hidden in your post, but will still be visible via the comment's permalink . Hide child comments as well Confirm For further actions, you may consider blocking this person and/or reporting abuse ackermannQ Follow 🛠️ Senior Full-Stack Developer · React, Node.js, TypeScript 🧠 I design developer tools that scale - clean code, smart audits 🚀 Passionated about helping dev write safer code Joined May 17, 2025 More from ackermannQ Building SandpackVM: How to build a lightweight VM # typescript # javascript # architecture # node ts-typed-errors v0.5.0: From Concept to Production-Ready Error Matching # typescript # webdev # developer # opensource Why I Built ts-typed-errors: A TypeScript Error Handling Revolution # typescript # developer # devex # opensource 💎 DEV Diamond Sponsors Thank you to our Diamond Sponsors for supporting the DEV Community Google AI is the official AI Model and Platform Partner of DEV Neon is the official database partner of DEV Algolia is the official search partner of DEV 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://highlight.io/docs/general/company/compliance-and-security | Compliance & Security Star us on GitHub Star Docs Sign in Sign up General Docs Welcome to highlight.io Get Started Roadmap Company Values Compliance & Security Open Source Contributing Overview GraphQL Backend Frontend (app.highlight.io) Landing Site (highlight.io) Documentation End to End SDK Example Apps Adding an SDK Application Architecture GitHub Code Spaces Code Style Good First Issues Self-hosting Self-hosted [Dev] Self-hosted [Hobby] Self-hosted [Enterprise] Telemetry Our Competitors Product Philosophy Product Features Session Replay Overview Canvas & Iframe Dev-tool Window Recording Tracking Users & Recording Events Filtering Sessions GraphQL Live Mode Performance Impact Player Session Caching Rage Clicks Request Proxying Session Search Extracting the Session URL Session Search Deep Linking Shadow Dom + Web Components Error Monitoring Overview Enhancing Errors with GitHub Error Search Filtering Errors Grouping Errors Managing Errors Manually Reporting Errors Sourcemaps General Features Overview Alerts Comments Digests Environments Search Segments Services Webhooks Logging Overview Log Alerts Log Search Tracing Overview Trace Search Dashboards Overview Dashboard Management Metrics Tutorials Service Latency Web Vitals & Page Speed User Engagement User Analytics Graphing Drilldown Event Search Dashboard Variables SQL Editor Metrics (beta) Overview Frequently Asked Questions. Integrations Integrations Overview Amplitude Integration ClickUp Integration Discord Integration Electron Support Front Integration GitHub Integration Grafana Integration Overview Setup Dashboards Alerts Height Integration Intercom Integration Jira Integration LaunchDarkly Integration Linear Integration Mixpanel Integration Nuxt Integration Pendo Integration Segment Integration Slack Integration Vercel Integration WordPress Plugin Highlight.io Changelog Overview Changelog 12 (02/17) Changelog 13 (02/24) Changelog 14 (03/03) Changelog 15 (03/11) Changelog 16 (03/19) Changelog 17 (04/07) Changelog 18 (04/26) Changelog 19 (05/22) Changelog 20 (06/06) Changelog 21 (06/21) Changelog 22 (08/07) Changelog 23 (08/22) Changelog 24 (09/11) Changelog 25 (10/03) Changelog 26 (11/08) Changelog 27 (12/22) Changelog 28 (3/6) Changelog 29 (4/2) Menu Highlight Docs Welcome to highlight.io Get Started Roadmap Company Values Compliance & Security Open Source Contributing Overview GraphQL Backend Frontend (app.highlight.io) Landing Site (highlight.io) Documentation End to End SDK Example Apps Adding an SDK Application Architecture GitHub Code Spaces Code Style Good First Issues Self-hosting Self-hosted [Dev] Self-hosted [Hobby] Self-hosted [Enterprise] Telemetry Our Competitors Product Philosophy Product Features Session Replay Overview Canvas & Iframe Dev-tool Window Recording Tracking Users & Recording Events Filtering Sessions GraphQL Live Mode Performance Impact Player Session Caching Rage Clicks Request Proxying Session Search Extracting the Session URL Session Search Deep Linking Shadow Dom + Web Components Error Monitoring Overview Enhancing Errors with GitHub Error Search Filtering Errors Grouping Errors Managing Errors Manually Reporting Errors Sourcemaps General Features Overview Alerts Comments Digests Environments Search Segments Services Webhooks Logging Overview Log Alerts Log Search Tracing Overview Trace Search Dashboards Overview Dashboard Management Metrics Tutorials Service Latency Web Vitals & Page Speed User Engagement User Analytics Graphing Drilldown Event Search Dashboard Variables SQL Editor Metrics (beta) Overview Frequently Asked Questions. Integrations Integrations Overview Amplitude Integration ClickUp Integration Discord Integration Electron Support Front Integration GitHub Integration Grafana Integration Overview Setup Dashboards Alerts Height Integration Intercom Integration Jira Integration LaunchDarkly Integration Linear Integration Mixpanel Integration Nuxt Integration Pendo Integration Segment Integration Slack Integration Vercel Integration WordPress Plugin Highlight.io Changelog Overview Changelog 12 (02/17) Changelog 13 (02/24) Changelog 14 (03/03) Changelog 15 (03/11) Changelog 16 (03/19) Changelog 17 (04/07) Changelog 18 (04/26) Changelog 19 (05/22) Changelog 20 (06/06) Changelog 21 (06/21) Changelog 22 (08/07) Changelog 23 (08/22) Changelog 24 (09/11) Changelog 25 (10/03) Changelog 26 (11/08) Changelog 27 (12/22) Changelog 28 (3/6) Changelog 29 (4/2) Getting Started Getting Started with Highlight Fullstack Mapping Browser React.js Next.js Remix Vue.js Angular Gatsby.js SvelteKit Electron highlight.run SDK Overview Canvas & WebGL Console Messages Content-Security-Policy Identifying Users iframe Recording Monkey Patches Browser OpenTelemetry Persistent Asset Storage Privacy Proxying Highlight React.js Error Boundary Recording Network Requests and Responses Recording WebSocket Events Salesforce Lightning Web Components (LWC) Data Export Sourcemap Configuration Tracking Events Troubleshooting Upgrading Highlight Versioning Sessions & Errors Other React Native (beta) Server Go Overview chi Echo Fiber Gin GORM gqlgen Logrus Manual Tracing gorilla mux JS Overview Apollo AWS Lambda Cloudflare Workers Express.js Firebase Hono Nest.js Next.js Node.js Pino tRPC Winston Python Overview AWS Lambda Azure Functions Django FastAPI Flask Google Cloud Functions Loguru Other Frameworks Python AI / LLM Libraries Python Libraries Ruby Overview Other Frameworks Ruby on Rails Rust Overview actix-web No Framework Hosting Providers Overview Metrics in AWS Logging in AWS Logging in Azure Fly.io NATS Log Shipper Logging in GCP Heroku Log Drain Render Log Stream Logging in Trigger.dev Vercel Log Drain Elixir Overview Elixir App Java: All Frameworks PHP: All Frameworks C# .NET ASP C# .NET 4 ASP Docker / Docker Compose File Fluent Forward curl OpenTelemetry Protocol (OTLP) Syslog RFC5424 Systemd / Journald Native OpenTelemetry Overview Error Monitoring Logging Tracing Browser Instrumentation Metrics Fullstack Frameworks Overview Next.js Fullstack Overview Next.js Page Router Guide Next.js App Router Guide Edge Runtime Advanced Config Remix Walkthrough Self Host & Local Dev Overview Development deployment guide. Integrations Microsoft Teams self-hosted Hobby deployment guide. Traefik SSL Proxying. Docs Home SDK Client SDK API Reference Cloudflare Worker SDK API Reference Go SDK API Reference Hono SDK API Reference Java SDK API Reference Next.JS SDK API Reference Node.JS SDK API Reference Python SDK API Reference Ruby SDK API Reference Rust SDK API Reference Docs / Highlight Docs / Company / Compliance & Security Compliance & Security Security Certifications We take compliance and security very seriously at highlight.io . We officially have a SOC 2 Type2 report, GDPR compliance and are currently in the process of attaining HIPAA. Requesting information If you're evaluating highlight.io at your company and want to request documentation of any of our certifications, request a DPA, or have questions on the security end, please shoot us an email at security@highlight.io . Subprocessors Below is a list of our subprocessors: Subprocessor Processing Usage Country of location Amazon Web Services (AWS) Data hosting and processing USA Google Data Storage USA Mixpanel Analytics USA Hubspot CRM, Marketing Automation USA Intercom Support Services USA Sendgrid Email Delivery USA Stripe Payment Processing USA Clickhouse Data storage USA Avoiding Cookie Consent (disabling localStorage) If you're using the highlight.io browser client and would like to avoid requesting cookie consent from your users, you can pass the storageMode: 'sessionStorage' option to H.init to make sure that highlight will not persist any data in window.localStorage . This will mean that if a user leaves your site and returns later, a new highlight recording will start regardless of the time since they left, since we will not persist any metadata in the browser. Values Open Source Community / Support Suggest Edits? Follow us! [object Object] | 2026-01-13T08:49:40 |
https://highlight.io/docs | Welcome to highlight.io Star us on GitHub Star Docs Sign in Sign up General Docs Welcome to highlight.io Get Started Roadmap Company Values Compliance & Security Open Source Contributing Overview GraphQL Backend Frontend (app.highlight.io) Landing Site (highlight.io) Documentation End to End SDK Example Apps Adding an SDK Application Architecture GitHub Code Spaces Code Style Good First Issues Self-hosting Self-hosted [Dev] Self-hosted [Hobby] Self-hosted [Enterprise] Telemetry Our Competitors Product Philosophy Product Features Session Replay Overview Canvas & Iframe Dev-tool Window Recording Tracking Users & Recording Events Filtering Sessions GraphQL Live Mode Performance Impact Player Session Caching Rage Clicks Request Proxying Session Search Extracting the Session URL Session Search Deep Linking Shadow Dom + Web Components Error Monitoring Overview Enhancing Errors with GitHub Error Search Filtering Errors Grouping Errors Managing Errors Manually Reporting Errors Sourcemaps General Features Overview Alerts Comments Digests Environments Search Segments Services Webhooks Logging Overview Log Alerts Log Search Tracing Overview Trace Search Dashboards Overview Dashboard Management Metrics Tutorials Service Latency Web Vitals & Page Speed User Engagement User Analytics Graphing Drilldown Event Search Dashboard Variables SQL Editor Metrics (beta) Overview Frequently Asked Questions. Integrations Integrations Overview Amplitude Integration ClickUp Integration Discord Integration Electron Support Front Integration GitHub Integration Grafana Integration Overview Setup Dashboards Alerts Height Integration Intercom Integration Jira Integration LaunchDarkly Integration Linear Integration Mixpanel Integration Nuxt Integration Pendo Integration Segment Integration Slack Integration Vercel Integration WordPress Plugin Highlight.io Changelog Overview Changelog 12 (02/17) Changelog 13 (02/24) Changelog 14 (03/03) Changelog 15 (03/11) Changelog 16 (03/19) Changelog 17 (04/07) Changelog 18 (04/26) Changelog 19 (05/22) Changelog 20 (06/06) Changelog 21 (06/21) Changelog 22 (08/07) Changelog 23 (08/22) Changelog 24 (09/11) Changelog 25 (10/03) Changelog 26 (11/08) Changelog 27 (12/22) Changelog 28 (3/6) Changelog 29 (4/2) Menu Highlight Docs Welcome to highlight.io Get Started Roadmap Company Values Compliance & Security Open Source Contributing Overview GraphQL Backend Frontend (app.highlight.io) Landing Site (highlight.io) Documentation End to End SDK Example Apps Adding an SDK Application Architecture GitHub Code Spaces Code Style Good First Issues Self-hosting Self-hosted [Dev] Self-hosted [Hobby] Self-hosted [Enterprise] Telemetry Our Competitors Product Philosophy Product Features Session Replay Overview Canvas & Iframe Dev-tool Window Recording Tracking Users & Recording Events Filtering Sessions GraphQL Live Mode Performance Impact Player Session Caching Rage Clicks Request Proxying Session Search Extracting the Session URL Session Search Deep Linking Shadow Dom + Web Components Error Monitoring Overview Enhancing Errors with GitHub Error Search Filtering Errors Grouping Errors Managing Errors Manually Reporting Errors Sourcemaps General Features Overview Alerts Comments Digests Environments Search Segments Services Webhooks Logging Overview Log Alerts Log Search Tracing Overview Trace Search Dashboards Overview Dashboard Management Metrics Tutorials Service Latency Web Vitals & Page Speed User Engagement User Analytics Graphing Drilldown Event Search Dashboard Variables SQL Editor Metrics (beta) Overview Frequently Asked Questions. Integrations Integrations Overview Amplitude Integration ClickUp Integration Discord Integration Electron Support Front Integration GitHub Integration Grafana Integration Overview Setup Dashboards Alerts Height Integration Intercom Integration Jira Integration LaunchDarkly Integration Linear Integration Mixpanel Integration Nuxt Integration Pendo Integration Segment Integration Slack Integration Vercel Integration WordPress Plugin Highlight.io Changelog Overview Changelog 12 (02/17) Changelog 13 (02/24) Changelog 14 (03/03) Changelog 15 (03/11) Changelog 16 (03/19) Changelog 17 (04/07) Changelog 18 (04/26) Changelog 19 (05/22) Changelog 20 (06/06) Changelog 21 (06/21) Changelog 22 (08/07) Changelog 23 (08/22) Changelog 24 (09/11) Changelog 25 (10/03) Changelog 26 (11/08) Changelog 27 (12/22) Changelog 28 (3/6) Changelog 29 (4/2) Getting Started Getting Started with Highlight Fullstack Mapping Browser React.js Next.js Remix Vue.js Angular Gatsby.js SvelteKit Electron highlight.run SDK Overview Canvas & WebGL Console Messages Content-Security-Policy Identifying Users iframe Recording Monkey Patches Browser OpenTelemetry Persistent Asset Storage Privacy Proxying Highlight React.js Error Boundary Recording Network Requests and Responses Recording WebSocket Events Salesforce Lightning Web Components (LWC) Data Export Sourcemap Configuration Tracking Events Troubleshooting Upgrading Highlight Versioning Sessions & Errors Other React Native (beta) Server Go Overview chi Echo Fiber Gin GORM gqlgen Logrus Manual Tracing gorilla mux JS Overview Apollo AWS Lambda Cloudflare Workers Express.js Firebase Hono Nest.js Next.js Node.js Pino tRPC Winston Python Overview AWS Lambda Azure Functions Django FastAPI Flask Google Cloud Functions Loguru Other Frameworks Python AI / LLM Libraries Python Libraries Ruby Overview Other Frameworks Ruby on Rails Rust Overview actix-web No Framework Hosting Providers Overview Metrics in AWS Logging in AWS Logging in Azure Fly.io NATS Log Shipper Logging in GCP Heroku Log Drain Render Log Stream Logging in Trigger.dev Vercel Log Drain Elixir Overview Elixir App Java: All Frameworks PHP: All Frameworks C# .NET ASP C# .NET 4 ASP Docker / Docker Compose File Fluent Forward curl OpenTelemetry Protocol (OTLP) Syslog RFC5424 Systemd / Journald Native OpenTelemetry Overview Error Monitoring Logging Tracing Browser Instrumentation Metrics Fullstack Frameworks Overview Next.js Fullstack Overview Next.js Page Router Guide Next.js App Router Guide Edge Runtime Advanced Config Remix Walkthrough Self Host & Local Dev Overview Development deployment guide. Integrations Microsoft Teams self-hosted Hobby deployment guide. Traefik SSL Proxying. Docs Home SDK Client SDK API Reference Cloudflare Worker SDK API Reference Go SDK API Reference Hono SDK API Reference Java SDK API Reference Next.JS SDK API Reference Node.JS SDK API Reference Python SDK API Reference Ruby SDK API Reference Rust SDK API Reference Docs / Highlight Docs / Welcome to highlight.io Welcome to highlight.io Highlight has been acquired by LaunchDarkly ! Want to know more about our plans for the future? Read the press release . This docs site is no longer being updated. Instead, check out the LaunchDarkly observability docs . highlight.io is monitoring software for the next generation of developers. And it's all open source :). Get Started Get started with highlight.io. Instrument your frontend & backend. Our product highlight.io gives you fullstack visibility into your application by pairing session replay, error monitoring, and logging, allowing you to tie frontend issues with backend logs and performance issues. When highlight.io is fully integrated, this is what it looks like: About us Mission & Values. Details about our company, our values, and open source. Compliance & Security. Our security certificates, and contact details. Contributing to highlight.io Open source, self hosting highlight, and contributing. Self hosting highlight.io Open source, self hosting highlight, and contributing. Features Session Replay. Session replay features, how to get started, etc.. Error Monitoring. Error monitoring features, how to get started, etc.. Logging. Logging features, how to get started, etc.. Tracing. Tracing features, how to get started, etc.. Highlight Docs Get Started Overview Community / Support Suggest Edits? Follow us! [object Object] | 2026-01-13T08:49:40 |
https://opensource.org/blog/introducing-the-new-api-for-osi-approved-licenses | Introducing the new API for OSI Approved Licenses® – 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 June 19, 2025 News Nick Vidal Introducing the new API for OSI Approved Licenses® The Open Source Initiative (OSI) is excited to announce the availability of a new API service providing access to the canonical list of OSI Approved Licenses® . This launch is part of our broader effort to modernize how we manage and share Open Source license data, making it easier for the community to identify and verify licenses that comply with the Open Source Definition. The new API The list of OSI Approved Licenses® is a critical reference point for developers, legal teams, companies, and communities around the world. The OSI Approved Licenses® database is a comprehensive, structured, and up-to-date database of approved licenses and their metadata. This new API service builds directly on that work. The new API is served directly from our website and reflects the official source of truth for OSI license data. This service is fully public and free to use . You can now access the full list of OSI Approved Licenses® from: https://opensource.org/api/license You can fetch detailed metadata on individual licenses, including: License name and version SPDX identifier Approval and submission dates License steward and submitter Withdrawal or retirement status Links to board meeting minutes and evidence of approval For example, you can access data from the GNU General Public License version 3 at: https://opensource.org/api/license/gpl-3-0 { "id": "gpl-3-0", "name": "GNU General Public License version 3", "version": "3.0", "submission_date": "20070629", "submission_url": "http://lists.opensource.org/pipermail/license-discuss_lists.opensource.org/2007-June/012888.html", "submitter_name": "GNU GENERAL PUBLIC LICENSE", "approval_date": "20070905", "license_steward_version": "", "license_steward_url": "https://www.gnu.org/licenses/gpl-3.0.en.html", "board_minutes": "https://opensource.org/meeting-minutes/minutes20070905/", "stewards": [ "free-software-foundation" ], "keywords": [ "popular-strong-community" ], "_links": { "self": { "href": "https://opensource.org/api/license/gpl-3-0" }, "html": { "href": "https://opensource.org/license/gpl-3-0" }, "collection": { "href": "https://opensource.org/api/licenses" } } } It’s also possible to search licenses by name: https://opensource.org/api/license?name=gpl Deprecation of legacy service The new API is not backward compatible with the legacy API service. Users will need to migrate to the new endpoint. If you’re currently using api.opensource.org , please note that the old service is outdated and will be deprecated in the coming months . We recommend beginning your migration now to ensure uninterrupted access. Feedback welcome We’re still refining the API and exploring ways to expand its capabilities. If you have a use case, suggestion, or need help transitioning to the new service, please get in touch . We’re especially interested in hearing from developers, legal teams, and tooling providers who rely on accurate license data. We look forward to seeing what the community builds on top of this new API. We would like to thank Automattic for sponsoring this work and our former intern Giulia Dellanoce for creating a systematic and well-ordered database of all the licenses that have been submitted to OSI for approval since the time of the organization’s founding. Open Source and the future of European AI sovereignty: Insights from Vivatech 2025 LinuxFr.org joins the OSI: strengthening the francophone community Keep up with Open Source Please leave this field empty. Δ We’ll never share your details and you can unsubscribe with a click! Get involved Mastodon Twitter LinkedIn Reddit About About Our team Board of directors Sponsors Programs Blog Press mentions Trademark Bylaws Licenses Open Source Definition Licenses License Review Process Open Standards Requirement for Software Open Source AI Open Source AI OSAI Definition Process Timeline Open Weights FAQ Checklist Forum Community Become an Individual Member Become an OSI Affiliate Affiliate Organizations Maintainers Events Forum OpenSource.net The content on this website, of which Opensource.org is the author, is licensed under a Creative Commons Attribution 4.0 International License . Opensource.org is not the author of any of the licenses reproduced on this site. 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https://dev.to/vldi01/modern-kmp-part-1-the-end-of-the-404-not-found2-39ca#comments | Modern KMP (Part 1): The End of the "404 Not Found"2 - 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 Vladyslav Diachuk Posted on Jan 11 Modern KMP (Part 1): The End of the "404 Not Found"2 # architecture # mobile # kotlin # api How to use "Contract-First" development to guarantee your Android/iOS clients and Ktor Backend are always in perfect sync. It’s 4:55 PM on a Friday. You just deployed a hotfix to the backend. You feel good. Five minutes later, Sentry alerts start screaming. SerializationException: Field 'user_id' is required but missing. Ah, right. You refactored the backend response model to use camelCase userId , but you forgot to update the Android Retrofit interface and the iOS Codable struct. This is "The Drift." It is the silent killer of mobile agility. In the traditional world, we fight The Drift with communication: Slack messages, Swagger/OpenAPI docs, and hope. But docs get outdated, and hope is not a strategy. In the Kotlin Multiplatform (KMP) world, we can do better. We can fight The Drift with the Compiler . In this 3-part series on Modern KMP Architecture , I’m going to share the setup I use to bridge the gap between Client and Server. Part 1 (This Article): Full-Stack Type Safety (The "Contract-First" Pattern). Part 2: Scalable Modularization (Solving the "God Module" build problem). Part 3: The Anatomy of a Feature (Decoupled Navigation & UDF). A Note on "Enterprise Grade" vs. "Experimental Magic": The modularization strategies I will cover in Part 2 and 3 are battle-tested patterns I’ve learned from working on large-scale enterprise apps. However, the Server-Side generation I am showing today is a proof-of-concept tool . It is magical, it works, but if you are building a banking backend, you might want to stick to manual routing while keeping the shared interface concept. Let’s solve the biggest problem first: The Contract. The "Code-First" Contract Most KMP tutorials teach you how to share Data (e.g., the User data class). That's a good start, but it's not enough. If your Client thinks the endpoint is GET /user and your Server thinks it's GET /users , sharing the data class won't save you. We need to share the Behavior . In my architecture, the "Source of Truth" is not a YAML file or a Confluence page. It is a simple Kotlin Interface located in a shared :network:api module. // :network:api/src/commonMain/kotlin/UserApi.kt interface UserApi { @GET ( "users/{id}" ) suspend fun getUser ( @Path ( "id" ) userId : Long ): User @POST ( "users" ) suspend fun createUser ( @Body user : User ): User @NoAuth @GET ( "users/public" ) suspend fun getPublicInfo (): String @Multipart @POST ( "users/avatar" ) suspend fun uploadAvatar ( @Part ( "avatar" ) content : List < PartData >): String } Enter fullscreen mode Exit fullscreen mode 💡 Mental Model: If you have used gRPC, this will feel familiar. We are effectively using Kotlin Interfaces as our .proto files. This gives us the strict contract safety of RPC, but keeps the simplicity, tooling, and inspectability of standard HTTP/JSON. This looks like a standard Retrofit interface. But in this architecture, this file drives everything . 1. The Client Side (Ktorfit) For the client (Android, iOS, Desktop), we use Ktorfit . It’s essentially "Retrofit for KMP." It looks at that interface and generates the Ktor Client implementation for us. // Generated Client Code (Simplified) public class _ UserApiImpl ( private val client : HttpClient ) : UserApi { override suspend fun getUser ( userId : Long ): User { return client . get ( "users/$userId" ). body () } } Enter fullscreen mode Exit fullscreen mode This is standard practice. But now, let’s do something radical. 2. The Server Side (The Experiment) Usually, Ktor server routing is written manually. This is where the drift happens. You type post("auth/login") manually, and if you make a typo, you get a 404. To solve this, I wrote a custom KSP (Kotlin Symbol Processing) processor for the Server. It reads the exact same interface used by the client and generates the server routing entry points. It even handles Context Propagation . One of the biggest challenges with shared interfaces is: "How do I get the HTTP Headers or the Auth Token inside my implementation if the interface function signature doesn't have a call parameter?" My processor wraps the execution in a CallContext , allowing you to access the raw Ktor ApplicationCall and your typed JWT token from anywhere in your implementation. // server/src/.../UserApiImpl.kt // 1. You implement the shared interface class UserApiImpl ( private val userDao : UserDao ) : UserApi { override suspend fun getUser ( userId : Long ): User { // 2. Need the raw call or token? Use the context wrapper. val context = getCallContext < UserToken >() val token = context . jwtToken // Strongly typed Token object val call = context . call // Raw RoutingCall (headers, cookies, IP) return userDao . getUserById ( userId ) ?: throw NotFoundException () } override suspend fun createUser ( user : User ): User { return userDao . insertUser ( user ) } } Enter fullscreen mode Exit fullscreen mode The Magic Trick: Coroutine Context You might be wondering: "How does getCallContext() find the call if I never passed it as an argument?" If we added call: ApplicationCall to the interface methods, the Client would break (because the Client doesn't know what a Ktor Server ApplicationCall is). The solution is Kotlin Coroutine Contexts . Since Ktor handles every request inside a coroutine, my processor generates code that injects the data into the CoroutineContext scope just before your function runs. // Generated by the Processor (Simplified) post ( "auth/register" ) { val request = call . receive < RegisterRequest >() val principal = .. . // Parsed from JWT or Unit if @NoAuth // The Trick: We inject the context into the Coroutine Scope withContext ( CallContext ( call , principal )) { call . respond ( impl . register ( request )) } } Enter fullscreen mode Exit fullscreen mode This allows getCallContext() to retrieve the data from the current scope, acting like a "Coroutine-Local" variable. This keeps your shared interface clean and platform-agnostic, while giving the server implementation full access to the HTTP context. Now, your Server Application code is dumb. It just binds the implementation: // server/src/Application.kt routing { // The compiler forces me to provide an implementation of UserApi bindUserApi ( UserApiImpl ( userDao )) } Enter fullscreen mode Exit fullscreen mode The "Wow" Moment Because both sides rely on the generated code from the same interface file, we achieve Full-Stack Type Safety. Here is what happens if I decide to change createUser(@Body user: User) to createUser(@Body user: User, @Query("force") force: Boolean) : I change the Kotlin Interface in :network:api . I hit "Build." The Client Fails: The Android codebase turns red because I’m passing the wrong arguments. The Server Fails: The Backend codebase turns red because the implementation class no longer overrides the interface correctly. The build does not pass until both the Client and the Server agree on the new contract. The Reality Check (Trade-offs) This sounds like magic, but every architectural decision has a cost. 1. You Own The Tooling This KSP processor is a cool project, but it is not a standard library maintained by JetBrains. It works for my template, but if Ktor changes its DSL drastically, or if you have complex routing needs (e.g., wildcards, regex paths) that the processor doesn't support, you will hit a wall. Recommendation: For a startup or a hobby project? This is a superpower. For a massive enterprise legacy migration? Use the Shared Interface pattern, but maybe write the server-side routing manually to stay on the safe side. 2. The JWT Type Safety Gap There is one specific edge case I couldn't solve purely at compile-time. While the API Contract is fully typed, the Auth Token Type is not strictly enforced by the compiler. If you define your interface to require an AdminToken , but inside your implementation you ask for getCallContext<UserToken>() , the code will compile. However, at runtime, the CallContext will contain the wrong token type, leading to a crash or an error. This is a limitation of how contexts are propagated at runtime vs. generic erasure at compile time. 3. Strict Contracts You cannot "just code." You must define your data shape and interfaces before writing UI or server logic. This slows down initial prototyping but significantly speeds up long-term maintenance. 4. The "Lock-Step" Trap (Versioning) The compiler guarantees that your current App code matches your current Server code. It does not guarantee that the app installed on a user's phone (from three months ago) matches your new Server deployment. The Rule: If you change an interface method signature, you break old clients. The Fix: Never break; only append. If you need to change the logic for getUser , do not modify the existing function. Create getUserV2() in the interface, mark the old one as @Deprecated , and let the compiler guide you to migrate the client code while keeping the old endpoint alive for legacy users. Seeing is Believing I’ve open-sourced this entire setup in my template, ModernArchitecture . It includes: The Shared :network module. The Ktorfit setup for Clients. The Custom KSP Processor for the Server (with Context & Auth support). You can clone it, change an endpoint, and watch your project break (safely) in real-time. Link to GitHub repo What's Next? We have a secure, type-safe contract. But as your app grows to 50, 60, or 100 features, you hit the next major KMP bottleneck: Build Times. How do we organize a massive KMP project so that changing one line of code doesn’t force us to recompile the entire world? In Part 2 , I’ll switch gears to the Battle-Tested Architecture : The API/Impl Split Pattern and the Database Inversion technique that keeps our builds lightning fast. 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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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 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 Darian Vance Posted on Dec 28, 2025 • Originally published at wp.me Solved: Understanding PPC Management — What Are the Most Important Factors Today? # devops # programming # tutorial # cloud 🚀 Executive Summary TL;DR: Traditional PPC management struggles with data silos, manual overheads, and reactive optimization, leading to suboptimal ROAS and scalability issues. Modern PPC demands a DevOps approach, integrating unified data pipelines, automation, and AI/ML for real-time insights, efficient operations, and predictive optimization to maximize ad spend ROI. 🎯 Key Takeaways Building a unified data pipeline, centralizing data from diverse ad platforms (Google Ads, Meta Ads), CRM, and web analytics into a scalable data warehouse (e.g., Google BigQuery), is crucial for holistic, real-time performance insights. Implementing automation and orchestration for repetitive PPC tasks, such as bid/budget management, negative keyword addition, and ad testing, using platform scripts (Google Ads Scripts) or external tools (Apache Airflow, Prefect) significantly boosts efficiency and reduces manual overheads. Leveraging AI/ML for predictive optimization, either through platform Smart Bidding strategies (Target CPA, Target ROAS) or custom machine learning models, enables dynamic, auction-time adjustments based on complex signals to maximize ROAS or conversion volume. Optimize your PPC campaigns in today’s dynamic digital landscape by focusing on data-driven strategies, automation, and robust technical infrastructure to achieve superior ROI and efficiency. Understanding Modern PPC Management: A DevOps Approach The digital advertising landscape is in constant flux. For IT professionals and DevOps engineers, managing Pay-Per-Click (PPC) campaigns isn’t just a marketing concern; it’s an increasingly complex challenge involving data pipelines, automation, infrastructure, and advanced analytical capabilities. Relying solely on manual processes or basic platform interfaces is no longer sufficient to maintain competitive advantage or maximize return on ad spend (ROAS). Symptoms: The Challenges of Traditional PPC Management If you’re finding your organization’s PPC efforts falling short, you’re likely encountering one or more of these common symptoms: Suboptimal Return on Ad Spend (ROAS): Despite significant investment, ad campaigns aren’t delivering the expected revenue or profit, indicating inefficient targeting, bidding, or ad copy. Manual Management Overheads: Teams spend excessive time on repetitive tasks like bid adjustments, budget monitoring, keyword research, and ad creation, leading to burnout and operational bottlenecks. Delayed Insights and Reactive Optimization: Reliance on weekly or monthly reports means reactions to performance shifts are slow, missing critical windows for optimization. Data is often siloed, making holistic analysis difficult. Scalability Issues: Expanding campaigns across multiple platforms (Google Ads, Meta Ads, LinkedIn Ads, etc.) or geographies becomes a logistical nightmare, preventing rapid market penetration. Data Attribution Gaps: Difficulty accurately attributing conversions to the correct touchpoints across the customer journey, leading to misinformed budget allocation. Lack of Predictive Capabilities: Inability to forecast campaign performance, identify future trends, or proactively adjust strategies based on external factors. Addressing these symptoms requires a shift from reactive, manual campaign management to a proactive, technically integrated approach. Here are three critical solutions for today’s PPC landscape, viewed through a DevOps lens. Solution 1: Building a Unified Data Pipeline for Holistic Performance Insights One of the most significant challenges in modern PPC is the fragmentation of data. Ad platforms provide their own analytics, but correlating performance across Google Ads, Meta Ads, CRM data, and web analytics (e.g., Google Analytics 4) is crucial for a complete picture. A unified data pipeline is the foundational infrastructure for data-driven decision-making. Problem Solved: Data Silos and Delayed, Incomplete Insights By centralizing data, IT and DevOps teams empower marketing with comprehensive, real-time insights, enabling faster, more accurate optimizations and a clearer understanding of the customer journey. Implementation Details: Data Extraction (ETL/ELT): Establish automated processes to pull raw data from various ad platforms and other sources. Data Warehousing: Store the consolidated, structured data in a scalable, cloud-native data warehouse. Business Intelligence (BI): Connect BI tools to visualize data, create custom dashboards, and enable self-service analytics for marketing teams. Real-World Example & Configuration: Let’s consider integrating data from Google Ads and Meta Ads into Google BigQuery, then visualizing it with Looker Studio (formerly Google Data Studio). 1. Data Extraction: While managed services like Fivetran, Airbyte, or Stitch are excellent for this, a custom Python script using platform APIs offers granular control and can be scheduled via tools like Apache Airflow or Prefect. # Example Python snippet for Google Ads API data extraction # This requires installing the google-ads client library: pip install google-ads from google.ads.google_ads.client import GoogleAdsClient def fetch_google_ads_data(customer_id, developer_token, client_id, client_secret, refresh_token): # Initialize Google Ads client client = GoogleAdsClient.load_from_dict({ "developer_token": developer_token, "client_id": client_id, "client_secret": client_secret, "refresh_token": refresh_token, "login_customer_id": customer_id # Typically MCC ID if managing multiple accounts }) ga_service = client.get_service("GoogleAdsService") # Define your GAQL query query = """ SELECT campaign.name, metrics.clicks, metrics.impressions, metrics.cost_micros, segments.date FROM campaign WHERE segments.date DURING LAST_7_DAYS ORDER BY segments.date DESC """ stream = ga_service.search_stream(customer_id=str(customer_id), query=query) results = [] for batch in stream: for row in batch.results: results.append({ "campaign_name": row.campaign.name, "clicks": row.metrics.clicks, "impressions": row.metrics.impressions, "cost_usd": row.metrics.cost_micros / 1_000_000, # Convert from micros to USD "date": row.segments.date }) return results # In a production setup, credentials would be loaded securely # data = fetch_google_ads_data(CUSTOMER_ID, DEV_TOKEN, CLIENT_ID, CLIENT_SECRET, REFRESH_TOKEN) # Then, load 'data' into BigQuery using the google-cloud-bigquery client library Enter fullscreen mode Exit fullscreen mode 2. Data Warehousing (Google BigQuery): Define a schema in BigQuery to store your consolidated data. A common structure might include columns for date , platform , campaign_id , campaign_name , ad_group_id , clicks , impressions , cost , conversions , etc. # Example BigQuery DDL for a consolidated PPC table CREATE TABLE `your_project.your_dataset.ppc_performance` ( `date` DATE NOT NULL, `platform` STRING NOT NULL, -- e.g., 'Google Ads', 'Meta Ads' `campaign_id` STRING NOT NULL, `campaign_name` STRING, `ad_group_id` STRING, `ad_group_name` STRING, `clicks` INT64, `impressions` INT64, `cost_usd` FLOAT64, `conversions` INT64, `conversion_value_usd` FLOAT64 ) PARTITION BY date; Enter fullscreen mode Exit fullscreen mode 3. Business Intelligence (Looker Studio): Connect Looker Studio directly to your BigQuery table. You can then create dynamic dashboards that combine metrics from different platforms, calculate ROAS across your entire ad spend, and drill down into campaign specifics. This provides a single source of truth for all stakeholders. Solution 2: Implementing Automation and Orchestration for Campaign Efficiency Manual intervention in PPC campaigns is a major bottleneck. Automation, driven by scripts and orchestration tools, can dramatically improve efficiency, reduce errors, and ensure timely responses to market changes. Problem Solved: Manual Overheads and Reactive Management Automating repetitive tasks frees up marketing specialists to focus on strategic initiatives, while ensuring campaigns are always optimized according to predefined rules and real-time data. Implementation Details: Bid and Budget Management: Automatically adjust bids based on performance targets (CPA, ROAS) or time-of-day/day-of-week patterns. Manage budgets to prevent over/under-spending. Keyword and Negative Keyword Management: Automatically identify search queries that should be added as new keywords or negative keywords. Ad Creation and Testing: Programmatically generate ad variations, perform A/B tests, and pause underperforming ads. Alerting and Reporting: Set up automated alerts for anomalies (e.g., sudden drop in conversions, budget depletion) and scheduled performance reports. Real-World Example & Configuration: Google Ads Scripts Google Ads Scripts (JavaScript-based) run directly within the Google Ads platform, offering powerful automation capabilities without external infrastructure. Example: Automating Negative Keyword Addition for Poor Performance This script identifies search terms that have received clicks but no conversions and adds them as negative keywords to prevent wasted spend. // Google Ads Script to add negative keywords for queries with clicks but no conversions function main() { var CAMPAIGN_NAME_CONTAINS = "My_PPC_Campaign"; // Target specific campaigns var MIN_CLICKS = 10; // Minimum clicks before considering var DATE_RANGE = "LAST_30_DAYS"; var campaignIterator = AdsApp.campaigns() .withCondition("CampaignStatus = 'ENABLED'") .withCondition("CampaignName CONTAINS '" + CAMPAIGN_NAME_CONTAINS + "'") .get(); while (campaignIterator.hasNext()) { var campaign = campaignIterator.next(); var searchTermReport = AdsApp.report( "SELECT Query, Clicks, Conversions " + "FROM SEARCH_QUERY_PERFORMANCE_REPORT " + "WHERE CampaignId = " + campaign.getId() + " AND Clicks >= " + MIN_CLICKS + " AND Conversions = 0 " + "DURING " + DATE_RANGE); var rows = searchTermReport.rows(); var negativeKeywordsAdded = 0; while (rows.hasNext()) { var row = rows.next(); var query = row["Query"]; // Add as exact match negative keyword to the campaign campaign.negativeKeywords().addBiddingKeyword( "[" + query + "]" ); negativeKeywordsAdded++; Logger.log("Added negative keyword to campaign '" + campaign.getName() + "': [" + query + "]"); } Logger.log("Campaign '" + campaign.getName() + "': " + negativeKeywordsAdded + " negative keywords added."); } } Enter fullscreen mode Exit fullscreen mode For more complex, cross-platform automation or scenarios requiring external data sources (e.g., inventory feeds, CRM data), Python-based scripts utilizing the respective platform APIs (Google Ads API, Meta Marketing API) orchestrated by tools like Apache Airflow or Prefect provide greater flexibility and scalability. These can run on dedicated cloud instances or serverless functions. Solution 3: Leveraging AI/ML for Predictive Optimization and Advanced Bidding The latest evolution in PPC management involves moving beyond rule-based automation to predictive analytics and machine learning. This allows for dynamic adjustments based on complex signals, leading to highly optimized performance. Problem Solved: Suboptimal Bidding, Lack of Predictive Capabilities, and Missed Opportunities AI/ML solutions enable campaigns to adapt to subtle market shifts, user behavior patterns, and competitive landscapes that are impossible for humans or simple rules to account for, maximizing ROAS or conversion volume. Implementation Details: Platform Smart Bidding: Utilize the built-in AI-driven bidding strategies offered by ad platforms. Custom ML Models: For highly specific or large-scale needs, build and deploy bespoke machine learning models for bidding, budget allocation, or audience segmentation. Real-World Example & Comparison: Smart Bidding vs. Custom ML Platform Smart Bidding (e.g., Google Ads Smart Bidding): Google Ads offers various Smart Bidding strategies (e.g., Target CPA, Target ROAS, Maximize Conversions with a target) that leverage Google’s vast data and machine learning capabilities to optimize bids at auction time. These algorithms consider signals like device, location, time of day, audience lists, operating system, and more to determine the optimal bid. Custom Machine Learning Models: For organizations with significant data science resources and very specific, complex optimization goals, custom ML models offer unparalleled control. This could involve: Predictive models for conversion probability or customer lifetime value (CLV) to inform real-time bidding. Dynamic budget allocation models that shift spend between campaigns/platforms based on predicted performance. Anomaly detection models to quickly identify and alert on unusual performance patterns. However, building and maintaining custom ML models for PPC requires substantial investment in data engineering, data science, and MLOps infrastructure. Feature Platform Smart Bidding Custom ML Models (Advanced) Complexity of Setup Low (select strategy, set target) Very High (data engineering, model development, deployment, MLOps) Data Requirements Relies on platform’s internal data & signals (requires sufficient conversion volume) Extensive, high-quality historical data (PPC, CRM, web analytics, external factors) Control & Customization Limited to platform’s options and targets Full control over model logic, features, and optimization goals Maintenance & Operations Low (platform manages) High (model monitoring, retraining, infrastructure management) Latency & Real-time Near real-time (auction-time bidding) Can achieve real-time, but requires robust MLOps infrastructure (e.g., low-latency prediction services) Use Case Most standard PPC optimization goals (CPA, ROAS, conversions) Highly specific, proprietary optimization goals; leveraging unique, non-platform data; competitive advantage For most organizations, leveraging platform-native Smart Bidding is the most efficient and effective path to AI-driven optimization. Custom ML models are reserved for the elite few with unique data assets and significant engineering capabilities, where the competitive edge justifies the immense effort. Conclusion: The DevOps Imperative in PPC The era of manual, siloed PPC management is rapidly fading. Today, successful PPC campaigns demand a robust technical backbone. By embracing data engineering for unified insights, automation for operational efficiency, and advanced AI/ML for predictive optimization, IT and DevOps professionals can transform PPC from a marketing expenditure into a finely tuned, highly efficient revenue-generating machine. This strategic alignment between marketing and technical teams is not just an advantage; it’s a necessity for thriving in the modern digital economy. 👉 Read the original article on TechResolve.blog 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 Darian Vance Follow Lead Cloud Architect & DevOps Strategist with 12+ years in the trenches. Founder of TechResolve. I turn complex cloud chaos into systems you can actually understand and manage. Education BS in Computer Science & 12 Years of Production Outages Work Founder & Lead Architect at TechResolve Joined Dec 26, 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 Vibe Coding Forem — Discussing AI software development, and showing off what we're building. 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https://opensource.org/license/mit | The MIT License – 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 Popular / Strong Community The MIT License Version N/A SPDX short identifier: MIT Copyright <YEAR> <COPYRIGHT HOLDER> Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. Donate to the OSI The OSI is the authority that defines Open Source, recognized globally by individuals, companies, and public institutions. The Open Source Initiative (OSI) is a 501(c)3 public benefit corporation, founded in 1998. --> Get involved Mastodon Twitter LinkedIn Reddit About About Our team Board of directors Sponsors Programs Blog Press mentions Trademark Bylaws Licenses Open Source Definition Licenses License Review Process Open Standards Requirement for Software Open Source AI Open Source AI OSAI Definition Process Timeline Open Weights FAQ Checklist Forum Community Become an Individual Member Become an OSI Affiliate Affiliate Organizations Maintainers Events Forum OpenSource.net The content on this website, of which Opensource.org is the author, is licensed under a Creative Commons Attribution 4.0 International License . Opensource.org is not the author of any of the licenses reproduced on this site. Questions about the copyright in a license should be directed to the license steward. Read our Privacy Policy Proudly powered by WordPress. Hosted by Pressable. Manage Cookie Consent To provide the best experiences, we use technologies like cookies to store and/or access device information. Consenting to these technologies will allow us to process data such as browsing behavior or unique IDs on this site. Not consenting or withdrawing consent, may adversely affect certain features and functions. Functional Functional Always active The technical storage or access is strictly necessary for the legitimate purpose of enabling the use of a specific service explicitly requested by the subscriber or user, or for the sole purpose of carrying out the transmission of a communication over an electronic communications network. Preferences Preferences The technical storage or access is necessary for the legitimate purpose of storing preferences that are not requested by the subscriber or user. Statistics Statistics The technical storage or access that is used exclusively for statistical purposes. The technical storage or access that is used exclusively for anonymous statistical purposes. Without a subpoena, voluntary compliance on the part of your Internet Service Provider, or additional records from a third party, information stored or retrieved for this purpose alone cannot usually be used to identify you. Marketing Marketing The technical storage or access is required to create user profiles to send advertising, or to track the user on a website or across several websites for similar marketing purposes. Manage options Manage services Manage {vendor_count} vendors Read more about these purposes Accept Deny View preferences Save preferences View preferences {title} {title} {title} Manage consent | 2026-01-13T08:49:40 |
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https://opensource.org/blog/top-open-source-licenses-in-2024 | Top Open Source licenses in 2024 – 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 December 23, 2024 News Nick Vidal Top Open Source licenses in 2024 The Open Source Initiative (OSI) serves as the premier resource for millions of visitors seeking essential information about OSI-Approved licenses. The enriched license pages go beyond basic descriptions, incorporating relevant metadata to provide deeper insights and better support for Open Source users, developers, and organizations. The most popular licenses include the MIT license, BSD licenses (3-clause and 2-clause), Apache 2.0 license, and GNU General Public license (2.0 and 3.0). These licenses continue to lead the way as the go-to choices for countless Open Source projects worldwide, reflecting their widespread adoption and versatility. Here’s the top 20 OSI-Approved licenses most frequently sought out by our community in 2024 based on number of pageviews. License Pageviews Visitors mit 1.7M 1M bsd-3-clause 247.9K 207K apache-2-0 244.6K 184K bsd-2-clause 115.8K 98.2K gpl-2-0 83.8K 71.7K gpl-3-0 72.4K 61.5K isc-license-txt 48.7K 34.9K lgpl-2-1 21.6K 19K lgpl-3-0 17.8K 15.4K OFL-1.1 16.9K 14.1K mpl-2-0 14.8K 12.8K postgresql 14.6K 12K ms-pl-html 13.8K 9.9K agpl-v3 13.3K 11.1K 0bsd 13.1K 11.1K bsd-1-clause 10.3K 8.7K afl-3-0-php 10.1K 8.6K cpl1-0-txt 8.1K 5.9K osl-3-0-php 7.2K 6.3K mit-0 6.7K 5.8K In 2025, we plan to further enhance these license pages with even more features, insights, and user-focused improvements. Whether you’re a seasoned developer, a project maintainer, or just beginning your Open Source journey, these resources will continue to evolve to meet your needs. If you are interested in supporting our work, please consider donating to or sponsoring the OSI. 2024 end-of-year review: policy and standards Open Source AI and policy from the perspective of East Asia Keep up with Open Source Please leave this field empty. Δ We’ll never share your details and you can unsubscribe with a click! Get involved Mastodon Twitter LinkedIn Reddit About About Our team Board of directors Sponsors Programs Blog Press mentions Trademark Bylaws Licenses Open Source Definition Licenses License Review Process Open Standards Requirement for Software Open Source AI Open Source AI OSAI Definition Process Timeline Open Weights FAQ Checklist Forum Community Become an Individual Member Become an OSI Affiliate Affiliate Organizations Maintainers Events Forum OpenSource.net The content on this website, of which Opensource.org is the author, is licensed under a Creative Commons Attribution 4.0 International License . Opensource.org is not the author of any of the licenses reproduced on this site. Questions about the copyright in a license should be directed to the license steward. Read our Privacy Policy Proudly powered by WordPress. Hosted by Pressable. Manage Cookie Consent To provide the best experiences, we use technologies like cookies to store and/or access device information. Consenting to these technologies will allow us to process data such as browsing behavior or unique IDs on this site. Not consenting or withdrawing consent, may adversely affect certain features and functions. Functional Functional Always active The technical storage or access is strictly necessary for the legitimate purpose of enabling the use of a specific service explicitly requested by the subscriber or user, or for the sole purpose of carrying out the transmission of a communication over an electronic communications network. Preferences Preferences The technical storage or access is necessary for the legitimate purpose of storing preferences that are not requested by the subscriber or user. Statistics Statistics The technical storage or access that is used exclusively for statistical purposes. The technical storage or access that is used exclusively for anonymous statistical purposes. Without a subpoena, voluntary compliance on the part of your Internet Service Provider, or additional records from a third party, information stored or retrieved for this purpose alone cannot usually be used to identify you. Marketing Marketing The technical storage or access is required to create user profiles to send advertising, or to track the user on a website or across several websites for similar marketing purposes. Manage options Manage services Manage {vendor_count} vendors Read more about these purposes Accept Deny View preferences Save preferences View preferences {title} {title} {title} Manage consent | 2026-01-13T08:49:40 |
https://opensource.org/license/OFL-1.1 | SIL OPEN FONT LICENSE – 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 Special Purpose SIL OPEN FONT LICENSE Version 1.1 Submitted: November 5, 2008 Submitter: Yuko Noguchi Approved: April 1, 2009 Board minutes SPDX short identifier: OFL-1.1 Steward: SIL International Link to license steward's version PREAMBLE The goals of the Open Font License (OFL) are to stimulate worldwide development of collaborative font projects, to support the font creation efforts of academic and linguistic communities, and to provide a free and open framework in which fonts may be shared and improved in partnership with others. The OFL allows the licensed fonts to be used, studied, modified and redistributed freely as long as they are not sold by themselves. The fonts, including any derivative works, can be bundled, embedded, redistributed and/or sold with any software provided that any reserved names are not used by derivative works. The fonts and derivatives, however, cannot be released under any other type of license. The requirement for fonts to remain under this license does not apply to any document created using the fonts or their derivatives. DEFINITIONS “Font Software” refers to the set of files released by the Copyright Holder(s) under this license and clearly marked as such. 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PERMISSION & CONDITIONS Permission is hereby granted, free of charge, to any person obtaining a copy of the Font Software, to use, study, copy, merge, embed, modify, redistribute, and sell modified and unmodified copies of the Font Software, subject to the following conditions: 1) Neither the Font Software nor any of its individual components, in Original or Modified Versions, may be sold by itself. 2) Original or Modified Versions of the Font Software may be bundled, redistributed and/or sold with any software, provided that each copy contains the above copyright notice and this license. These can be included either as stand-alone text files, human-readable headers or in the appropriate machine-readable metadata fields within text or binary files as long as those fields can be easily viewed by the user. 3) No Modified Version of the Font Software may use the Reserved Font Name(s) unless explicit written permission is granted by the corresponding Copyright Holder. This restriction only applies to the primary font name as presented to the users. 4) The name(s) of the Copyright Holder(s) or the Author(s) of the Font Software shall not be used to promote, endorse or advertise any Modified Version, except to acknowledge the contribution(s) of the Copyright Holder(s) and the Author(s) or with their explicit written permission. 5) The Font Software, modified or unmodified, in part or in whole, must be distributed entirely under this license, and must not be distributed under any other license. The requirement for fonts to remain under this license does not apply to any document created using the Font Software. TERMINATION This license becomes null and void if any of the above conditions are not met. 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