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We’re open sourcing ArrowJS 1.0: the first UI framework for coding agents. Imagine React/Vue, but with no compiler, build process, or JSX transformer. It’s just TS/JS so LLMs are already great at it. AND run generated code securely w/ sandbox pkg. ➡️

Justin Schroeder

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237,880 Aufrufe • vor 4 Monaten •via X (Twitter)

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We open sourced Claude Artifacts for your own apps. Ask your agent to visualize algorithms, create 3D animations, render charts, or generate interactive diagrams. PLUS it runs the generated code securely w/ sandbox iframe. It's additive to your app, so you can drop it in with one toggle. ➡️

We open sourced Claude Artifacts for your own apps. Ask your agent to visualize algorithms, create 3D animations, render charts, or generate interactive diagrams. PLUS it runs the generated code securely w/ sandbox iframe. It's additive to your app, so you can drop it in with one toggle. ➡️

Atai Barkai

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Hell froze over: announcing FormKit for React. Secretly framework-agnostic since inception, today we’re open sourcing the most popular Vue form library…for React. Why is this a big deal? 1. Forms are still hard. We (the creators of FormKit) thought form libraries were no longer necessary, given the trajectory of coding agents. It turns out we were wrong, and we learned this the hard way. Need repeating conditional fields nested 3 layers deep inside a dynamic component, with accessibility, validation, internationalization, and backend error placement? Turns out coding agents aren’t great at that. It’s table stakes for FormKit. 2. Single component. This matters more than you would think, but FormKit doesn’t ship lots of different components each with its own props. Instead, it has a single one: and unified props. This was done to provide a better DX to human engineers. It makes it easy to spot when a given component was part of the form’s data structure vs a presentational component. It turns out this matters even more to coding agents than humans. No matter where your coding agent is, whenever it sees “FormKit” it immediately knows “oh, that’s part of the form’s data”. 3. No plumbing. FormKit doesn’t require any manual data collection, event listening, or state tracking. It does all this for you on a heavily tested, framework agnostic, self-assembling graph. The only code your agent needs to write is declarative templates and submission handlers that respond to the state. 4. Dense colocation. FormKit’s syntax happens to be ideal for coding agents; nearly everything you need to know about a given input is *on* the input: Colocation dramatically improves the efficacy of coding agents. 5. DOM. FormKit, unlike most form frameworks in React, renders the actual DOM. This also increases colocation and best practices, meaning your coding agent is far more likely to produce consistent and high-quality output that looks and acts the way its supposed to. 6. Schema. FormKit’s own inputs are not written using Vue or React — instead, FormKit has its own render schema — think of it like an AST for the DOM — and you can modify it on the fly. It’s not very human-friendly to write, but it turns out most models are already pretty well trained on FormKit’s schema. Want your inputs to look a bit different on one form than another? No problem, your coding agent can easily make those changes *without* modifying the JSX structure at all. Oh, and any inputs you create for Vue work with React and vice versa. 7. Plugins. FormKit leans into the unstructured tree graph hard. The graph doesn’t just collect data, it also passes down configuration and plugins. Want one form to work a bit differently than another one? No problem — just add a plugin to the top of that form or group and its children will all receive that feature. You can even mass assign props and configuration this way. Of course, FormKit has been solving these exact issues for a long time, but it wasn’t until we started using it on our own projects with coding agents that we realized what a huge advantage it is. With so many people using coding agents with React, it made sense to unveil FormKit for what it has always been — a completely framework-agnostic form framework that happens to unlock your coding agents. ➡️

Hell froze over: announcing FormKit for React. Secretly framework-agnostic since inception, today we’re open sourcing the most popular Vue form library…for React. Why is this a big deal? 1. Forms are still hard. We (the creators of FormKit) thought form libraries were no longer necessary, given the trajectory of coding agents. It turns out we were wrong, and we learned this the hard way. Need repeating conditional fields nested 3 layers deep inside a dynamic component, with accessibility, validation, internationalization, and backend error placement? Turns out coding agents aren’t great at that. It’s table stakes for FormKit. 2. Single component. This matters more than you would think, but FormKit doesn’t ship lots of different components each with its own props. Instead, it has a single one: and unified props. This was done to provide a better DX to human engineers. It makes it easy to spot when a given component was part of the form’s data structure vs a presentational component. It turns out this matters even more to coding agents than humans. No matter where your coding agent is, whenever it sees “FormKit” it immediately knows “oh, that’s part of the form’s data”. 3. No plumbing. FormKit doesn’t require any manual data collection, event listening, or state tracking. It does all this for you on a heavily tested, framework agnostic, self-assembling graph. The only code your agent needs to write is declarative templates and submission handlers that respond to the state. 4. Dense colocation. FormKit’s syntax happens to be ideal for coding agents; nearly everything you need to know about a given input is on the input: Colocation dramatically improves the efficacy of coding agents. 5. DOM. FormKit, unlike most form frameworks in React, renders the actual DOM. This also increases colocation and best practices, meaning your coding agent is far more likely to produce consistent and high-quality output that looks and acts the way its supposed to. 6. Schema. FormKit’s own inputs are not written using Vue or React — instead, FormKit has its own render schema — think of it like an AST for the DOM — and you can modify it on the fly. It’s not very human-friendly to write, but it turns out most models are already pretty well trained on FormKit’s schema. Want your inputs to look a bit different on one form than another? No problem, your coding agent can easily make those changes without modifying the JSX structure at all. Oh, and any inputs you create for Vue work with React and vice versa. 7. Plugins. FormKit leans into the unstructured tree graph hard. The graph doesn’t just collect data, it also passes down configuration and plugins. Want one form to work a bit differently than another one? No problem — just add a plugin to the top of that form or group and its children will all receive that feature. You can even mass assign props and configuration this way. Of course, FormKit has been solving these exact issues for a long time, but it wasn’t until we started using it on our own projects with coding agents that we realized what a huge advantage it is. With so many people using coding agents with React, it made sense to unveil FormKit for what it has always been — a completely framework-agnostic form framework that happens to unlock your coding agents. ➡️

Justin Schroeder

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Agents Are Replacing SaaS 🟢 And We’re Living It At Assisterr, we don’t just build AI agents - we use them Our own infrastructure has already replaced most traditional SaaS tools with custom-built AI agents that handle everything from analytics and reporting to workflow automation Need deep product insights? Our Analytics Assistant tracks real-time data, generates reports, and delivers actionable insights—automatically 🚀 Need a new tool? We don’t waste time looking for SaaS alternatives - we just build a custom agent. No code, no hassle, just instant automation We’re committed to making this accessible to everyone—so anyone can create, customize, and deploy AI agents tailored to their needs The future isn’t SaaS. The future is agents. And with Assisterr, it’s already here

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assisterr

28,813 Aufrufe • vor 1 Jahr

$Everyone's sleeping on MiniMax. Again. They just shipped M3. The first open-weights model to combine frontier coding, 1M context, and native multimodality in one drop. I plugged it into Claude Code this morning. Pasted a design from Dribbble. Watched M3 write production-ready React code in one session. At the agency, I just replaced Opus 4.8 with M3 for 80% of our coding tasks. The output is the same and we are running everything at a fraction of the cost. Open infrastructure is the future.$

Everyone's sleeping on MiniMax. Again. They just shipped M3. The first open-weights model to combine frontier coding, 1M context, and native multimodality in one drop. I plugged it into Claude Code this morning. Pasted a design from Dribbble. Watched M3 write production-ready React code in one session. At the agency, I just replaced Opus 4.8 with M3 for 80% of our coding tasks. The output is the same and we are running everything at a fraction of the cost. Open infrastructure is the future.

Prajwal Tomar

12,904 Aufrufe • vor 1 Monat

AI coding agents are great at building frontends, but they usually fail the moment you ask for a database or auth. You end up with a "cool demo" that doesn't actually work. I just tried InsForge 2.0, and it’s the first time I've seen an AI agent ship a fullstack app in seconds. Here is why it’s a game-changer:

AI coding agents are great at building frontends, but they usually fail the moment you ask for a database or auth. You end up with a "cool demo" that doesn't actually work. I just tried InsForge 2.0, and it’s the first time I've seen an AI agent ship a fullstack app in seconds. Here is why it’s a game-changer:

Chidanand Tripathi

82,745 Aufrufe • vor 4 Monaten

2. Build interactive tools and apps without code Describe your idea and Grok scaffolds the UI, logic, and deployment steps no coding required. Prompt: "You are a senior software architect who excels at building no-code and low-code systems with HTML, JavaScript, and Web APIs. Task Design a fully working interactive tool based on this idea: [DESCRIBE YOUR TOOL IDEA] Deliverables 1. A plain-English explanation of how the tool works. 2. A step-by-step plan to implement it with Grok or a no-code platform. 3. Exact HTML/CSS/JS code if relevant. 4. UX and design improvement tips. 5. Instructions to generate a shareable, embed-ready version. Imagine you are shipping an MVP for a startup demo. "

2. Build interactive tools and apps without code Describe your idea and Grok scaffolds the UI, logic, and deployment steps no coding required. Prompt: "You are a senior software architect who excels at building no-code and low-code systems with HTML, JavaScript, and Web APIs. Task Design a fully working interactive tool based on this idea: [DESCRIBE YOUR TOOL IDEA] Deliverables 1. A plain-English explanation of how the tool works. 2. A step-by-step plan to implement it with Grok or a no-code platform. 3. Exact HTML/CSS/JS code if relevant. 4. UX and design improvement tips. 5. Instructions to generate a shareable, embed-ready version. Imagine you are shipping an MVP for a startup demo. "

God of Prompt

316,672 Aufrufe • vor 1 Jahr

Temporal CEO Samar Birwadker says GitHub was designed for humans, but is now at the mercy of agents. "Agents are starting to get more and more long-lived, more asynchronous, and more mission-critical." "For example, if you pick coding agents alone, is something like GitHub was designed for humans collaborate and create [pull requests] right now." "Now a lot of code is being generated by these agents, and they're the ones creating these PRs essentially, and even code review process is being automated by other agents." "So now this entire system backend, which is being built for human consumption, is now at the mercy of these agents kind of using it for their own coordination and collaboration."

Temporal CEO Samar Birwadker says GitHub was designed for humans, but is now at the mercy of agents. "Agents are starting to get more and more long-lived, more asynchronous, and more mission-critical." "For example, if you pick coding agents alone, is something like GitHub was designed for humans collaborate and create [pull requests] right now." "Now a lot of code is being generated by these agents, and they're the ones creating these PRs essentially, and even code review process is being automated by other agents." "So now this entire system backend, which is being built for human consumption, is now at the mercy of these agents kind of using it for their own coordination and collaboration."

MTS

26,902 Aufrufe • vor 2 Monaten

Bash is all you need! Which is why I'm introducing my holiday project: just-bash just-bash is a pretty complete implementation of bash in TypeScript designed to be used as a bash tool by AI agents. Because it turns out agents love exploring data via shell scripts, even beyond coding. It comes with grep, sed, awk and the 99th percentile features that an agent like Claude Code or Cursor would use. In fact, Claude Code can use it for secure bash execution. In the package - A bash-tool for AI SDK - A binary for use by yourself or your coding agents - An overlay filesystem to feed files to your agent securely - A Vercel Sandbox compatible API, so you can quickly upgrade to a real VM if you need to run binaries - An example AI agent that explores the just-bash code base using just-bash - I imported the Oils shell bash compatibility suite and just-bash passes a very good chunk What is interesting about this codebase: It was essentially entirely written by Opus 4.5. Coding agents love bash and they are good at reproducing it. They are also great at text-book recursive descent parsers and AST tweet-walk interpreters. That said, it is, like, a lot of code and I didn't read it all 😅. This is very much a hack, but it also seems to be _really_ useful. I haven't really found anything agents want to use that it doesn't support and it's fast and secure (caveats apply). It doesn't have write access to your computer and the filesystem is given a root that the agent cannot escape from. Find it at Related: Our recent blog post how we migrated our data analysis agent to bash tools and achieved incredible quality improvements The video shows the example agent investigating the just-bash code base

Bash is all you need! Which is why I'm introducing my holiday project: just-bash just-bash is a pretty complete implementation of bash in TypeScript designed to be used as a bash tool by AI agents. Because it turns out agents love exploring data via shell scripts, even beyond coding. It comes with grep, sed, awk and the 99th percentile features that an agent like Claude Code or Cursor would use. In fact, Claude Code can use it for secure bash execution. In the package - A bash-tool for AI SDK - A binary for use by yourself or your coding agents - An overlay filesystem to feed files to your agent securely - A Vercel Sandbox compatible API, so you can quickly upgrade to a real VM if you need to run binaries - An example AI agent that explores the just-bash code base using just-bash - I imported the Oils shell bash compatibility suite and just-bash passes a very good chunk What is interesting about this codebase: It was essentially entirely written by Opus 4.5. Coding agents love bash and they are good at reproducing it. They are also great at text-book recursive descent parsers and AST tweet-walk interpreters. That said, it is, like, a lot of code and I didn't read it all 😅. This is very much a hack, but it also seems to be _really_ useful. I haven't really found anything agents want to use that it doesn't support and it's fast and secure (caveats apply). It doesn't have write access to your computer and the filesystem is given a root that the agent cannot escape from. Find it at Related: Our recent blog post how we migrated our data analysis agent to bash tools and achieved incredible quality improvements The video shows the example agent investigating the just-bash code base

Malte Ubl

124,713 Aufrufe • vor 6 Monaten

Anthropic's most viral feature is now open-source! Until now, Anthropic's Generative UI capabilities only existed inside its own products. CopilotKit🪁 just shipped Open Generative UI, an open-source implementation of Claude Artifacts that works in any app. The agent generates HTML/SVG at runtime, and CopilotKit streams it token-by-token into a sandboxed iframe inside the app's chat. So the user can watch the UI assemble itself in real time, not after the full response is ready. The sandbox is fully isolated with no access to the parent app, the DOM, or user data. So if the agent hallucinates broken markup or unexpected JavaScript, nothing leaks outside the iframe. Under the hood, the agent does not select from pre-built components. Instead, it generates arbitrary visuals from scratch every time. The output is unconstrained by default, but you can shape it by defining prompt-based skills that teach the agent specific visual formats or guidelines. For instance, a skill prompt can guide the agent toward producing a Chart.js dashboard with proper axis labels and responsive sizing, or an interactive 3D model with rotation controls. The video below shows this in action, and the output quality you see actually comes from the skills layer. Open Generative UI runs on AG-UI, so it works out of the box with LangGraph, CrewAI, Mastra, Google ADK, AWS Strands, and more. It also ships with a standalone MCP server that plugs into Claude Code, Cursor, or any MCP-compatible client. And the entire stack is built on top of CopilotKit, the open-source frontend framework for agents and generative UI. 30k+ GitHub stars, with SDKs for React, Next.js, Angular, and Vue. I have shared the GitHub repo and a live playground in the replies!

Anthropic's most viral feature is now open-source! Until now, Anthropic's Generative UI capabilities only existed inside its own products. CopilotKit🪁 just shipped Open Generative UI, an open-source implementation of Claude Artifacts that works in any app. The agent generates HTML/SVG at runtime, and CopilotKit streams it token-by-token into a sandboxed iframe inside the app's chat. So the user can watch the UI assemble itself in real time, not after the full response is ready. The sandbox is fully isolated with no access to the parent app, the DOM, or user data. So if the agent hallucinates broken markup or unexpected JavaScript, nothing leaks outside the iframe. Under the hood, the agent does not select from pre-built components. Instead, it generates arbitrary visuals from scratch every time. The output is unconstrained by default, but you can shape it by defining prompt-based skills that teach the agent specific visual formats or guidelines. For instance, a skill prompt can guide the agent toward producing a Chart.js dashboard with proper axis labels and responsive sizing, or an interactive 3D model with rotation controls. The video below shows this in action, and the output quality you see actually comes from the skills layer. Open Generative UI runs on AG-UI, so it works out of the box with LangGraph, CrewAI, Mastra, Google ADK, AWS Strands, and more. It also ships with a standalone MCP server that plugs into Claude Code, Cursor, or any MCP-compatible client. And the entire stack is built on top of CopilotKit, the open-source frontend framework for agents and generative UI. 30k+ GitHub stars, with SDKs for React, Next.js, Angular, and Vue. I have shared the GitHub repo and a live playground in the replies!

Akshay 🚀

86,515 Aufrufe • vor 2 Monaten

New short course: Building Code Agents with Hugging Face smolagents! Learn how to build code agents in this course, created in collaboration with Hugging Face, and taught by Thomas Wolf, its co-founder and CSO, and m_ric, Hugging Face’s Project Lead on Agents. Tool-calling agents use LLMs to generate multiple function calls sequentially to complete a complex sequence of tasks. They generate one function call, execute it, observe, reason, and decide what to do next. Code agents take a different approach. They consolidate all these calls into a single block of code, letting the LLM lay out an entire action plan at once, which can be executed efficiently to provide more reliable results. You’ll learn how to code agents using smolagents, a lightweight agentic framework from Hugging Face. Along the way, you’ll learn how to run LLM-generated code safely and develop an evaluation system to optimize your code agent for production. In detail, you’ll learn: - How agentic systems have evolved, gaining greater levels of agency over time—and why code agents are a next step. - How code agents write their actions in code. - When code agents outperform function-calling agents. - How to run code agents safely in your system using a constrained Python interpreter and sandboxing using E2B. - To trace, debug, and assess the code agent to optimize its behaviours for complex requests. - How to build a research multi-agent system that can find information online and organize it into an interactive report. By the end of this course, you’ll know how to build and run code agents using smolagents, and deploy them safely with a structured evaluation system in your projects. Please sign up here!

New short course: Building Code Agents with Hugging Face smolagents! Learn how to build code agents in this course, created in collaboration with Hugging Face, and taught by Thomas Wolf, its co-founder and CSO, and m_ric, Hugging Face’s Project Lead on Agents. Tool-calling agents use LLMs to generate multiple function calls sequentially to complete a complex sequence of tasks. They generate one function call, execute it, observe, reason, and decide what to do next. Code agents take a different approach. They consolidate all these calls into a single block of code, letting the LLM lay out an entire action plan at once, which can be executed efficiently to provide more reliable results. You’ll learn how to code agents using smolagents, a lightweight agentic framework from Hugging Face. Along the way, you’ll learn how to run LLM-generated code safely and develop an evaluation system to optimize your code agent for production. In detail, you’ll learn: - How agentic systems have evolved, gaining greater levels of agency over time—and why code agents are a next step. - How code agents write their actions in code. - When code agents outperform function-calling agents. - How to run code agents safely in your system using a constrained Python interpreter and sandboxing using E2B. - To trace, debug, and assess the code agent to optimize its behaviours for complex requests. - How to build a research multi-agent system that can find information online and organize it into an interactive report. By the end of this course, you’ll know how to build and run code agents using smolagents, and deploy them safely with a structured evaluation system in your projects. Please sign up here!

Andrew Ng

127,724 Aufrufe • vor 1 Jahr

I'm building a localhost AI app builder, inspired by tools like Lovable / Bolt / v0. Works with your own coding agents: ✅ Claude Code CLI ✅ Codex CLI ✅ GitHub Copilot (Chat extension + CLI) ✅ Cursor CLI So no new subscription is required. It also works with your app framework: ✅ Next.js ✅ React (Vite) ✅ Vue ✅ Svelte ✅ Angular ✅ TanStack Start ✅ Other frameworks (.NET, Ruby, etc.) You can create & open apps from a GUI, chat with your coding agent directly in the browser, view diffs, and more. It's live today as a VS Code extension called 'Wuunu'. Let me know what you think. :) Wuunu is completely independent, it's not affiliated with or endorsed by Lovable, Bolt, or v0.

I'm building a localhost AI app builder, inspired by tools like Lovable / Bolt / v0. Works with your own coding agents: ✅ Claude Code CLI ✅ Codex CLI ✅ GitHub Copilot (Chat extension + CLI) ✅ Cursor CLI So no new subscription is required. It also works with your app framework: ✅ Next.js ✅ React (Vite) ✅ Vue ✅ Svelte ✅ Angular ✅ TanStack Start ✅ Other frameworks (.NET, Ruby, etc.) You can create & open apps from a GUI, chat with your coding agent directly in the browser, view diffs, and more. It's live today as a VS Code extension called 'Wuunu'. Let me know what you think. :) Wuunu is completely independent, it's not affiliated with or endorsed by Lovable, Bolt, or v0.

Wesley

36,893 Aufrufe • vor 7 Monaten

Introducing FlowMaker 🌊🤖 A fully open-source, low-code way of building custom agent workflows. Build agents via a drag and drop interface, run it directly in the app, and also directly export it into a deeply custom workflow backed by LlamaIndex 🦙.TS. It’s a fantastic visual tool to help you get started with agents but also gives you full customizability to build the deepest, most advanced workflows, since everything is backed by code. There’s a lot of great low-code agent tools already, but this is a fully-open source template that you can use or clone/customize for your own needs. It was a fun project by Laurie Voss and is intended to give users an easy-on ramp onto our powerful agent orchestration tooling. Also integrates with LlamaCloud in case you want to integrate your own knowledge base into your agent. FlowMaker app: FlowMaker Repo: LlamaCloud:

Introducing FlowMaker 🌊🤖 A fully open-source, low-code way of building custom agent workflows. Build agents via a drag and drop interface, run it directly in the app, and also directly export it into a deeply custom workflow backed by LlamaIndex 🦙.TS. It’s a fantastic visual tool to help you get started with agents but also gives you full customizability to build the deepest, most advanced workflows, since everything is backed by code. There’s a lot of great low-code agent tools already, but this is a fully-open source template that you can use or clone/customize for your own needs. It was a fun project by Laurie Voss and is intended to give users an easy-on ramp onto our powerful agent orchestration tooling. Also integrates with LlamaCloud in case you want to integrate your own knowledge base into your agent. FlowMaker app: FlowMaker Repo: LlamaCloud:

Jerry Liu

20,413 Aufrufe • vor 1 Jahr

Coding agents shouldn't run on a laptop. That's why I've been building Cave. It's a self-hosted platform for running OpenCode agents in isolated sandboxes on your own server. You give it a GitHub repo, it creates an isolated sandbox, clones the code, sets everything up, and gives you a coding agent. Check in from your phone, run multiple agents side by side. It's not open source yet (it will be), but I'm opening a private beta so you can install it on your own server already. I've been dogfooding it since day one. If you're running a software factory: multiple agents working in parallel across repos, Cave gives you one place to monitor and manage all of it. Now, I'm looking for people who want to give it a spin. DM me, happy to set you up 😊 🚀

Coding agents shouldn't run on a laptop. That's why I've been building Cave. It's a self-hosted platform for running OpenCode agents in isolated sandboxes on your own server. You give it a GitHub repo, it creates an isolated sandbox, clones the code, sets everything up, and gives you a coding agent. Check in from your phone, run multiple agents side by side. It's not open source yet (it will be), but I'm opening a private beta so you can install it on your own server already. I've been dogfooding it since day one. If you're running a software factory: multiple agents working in parallel across repos, Cave gives you one place to monitor and manage all of it. Now, I'm looking for people who want to give it a spin. DM me, happy to set you up 😊 🚀

André König

36,095 Aufrufe • vor 3 Monaten

I’m excited to launch Tessl's first products! Introducing the Tessl Framework and Tessl Spec Registry, which integrate into any agent to keep it on rails and well informed using Spec-Driven Development. More details in the launch post: It’s a big milestone in the journey towards AI Native Development🚩 I’m proud of our amazing team, and keen to get beta feedback from the community! ❤️ What’s the problem we’re solving? Agents are powerful, but they’re very unreliable. They hallucinate, claim false success and break things often enough that it’s hard - and tiring - to use them on production code. How are we helping? The Tessl Framework makes agents capture intent in specs before coding, aligning you and the agent on what to build. It adds tests as harder guardrails, and stores specs as long term memory of what your product should do. It’s available in private beta - visit our home page to request early access: The Tessl Spec Registry helps agents use open source better. It contains over 10,000 usage specs for using libraries, which you can add to your project like regular dependencies. It also lets you distribute your own guidance and policies to agents. It’s in open beta and free to use! Check it out here: Both products are just the beginning, and we’re committed to building them in the open. Check out the video or our launch blog post for more info: Looking forward to hearing your thoughts, in the thread or our community Discord!

I’m excited to launch Tessl's first products! Introducing the Tessl Framework and Tessl Spec Registry, which integrate into any agent to keep it on rails and well informed using Spec-Driven Development. More details in the launch post: It’s a big milestone in the journey towards AI Native Development🚩 I’m proud of our amazing team, and keen to get beta feedback from the community! ❤️ What’s the problem we’re solving? Agents are powerful, but they’re very unreliable. They hallucinate, claim false success and break things often enough that it’s hard - and tiring - to use them on production code. How are we helping? The Tessl Framework makes agents capture intent in specs before coding, aligning you and the agent on what to build. It adds tests as harder guardrails, and stores specs as long term memory of what your product should do. It’s available in private beta - visit our home page to request early access: The Tessl Spec Registry helps agents use open source better. It contains over 10,000 usage specs for using libraries, which you can add to your project like regular dependencies. It also lets you distribute your own guidance and policies to agents. It’s in open beta and free to use! Check it out here: Both products are just the beginning, and we’re committed to building them in the open. Check out the video or our launch blog post for more info: Looking forward to hearing your thoughts, in the thread or our community Discord!

Guy Podjarny

12,605 Aufrufe • vor 10 Monaten

Exactly one year ago, I jumped into streaming with no clue where to begin or how to make it work. I had doubts, confusion, and uncertainty, but I took action anyway. Fast forward to today, and I’m at the top of the game. For anyone out there hesitating or second guessing themselves, stop overthinking it. Just take that first step and trust the process. If I can do it, so can you. W Chat, W Mods, W Clippers, W Team, W Mom, W @capturedbydream, W Steve Will Do It,W adin, W , W Stake.com, W Stake.comEddie, without you, it wouldn’t be possible. Thank you so so much 🚀

Exactly one year ago, I jumped into streaming with no clue where to begin or how to make it work. I had doubts, confusion, and uncertainty, but I took action anyway. Fast forward to today, and I’m at the top of the game. For anyone out there hesitating or second guessing themselves, stop overthinking it. Just take that first step and trust the process. If I can do it, so can you. W Chat, W Mods, W Clippers, W Team, W Mom, W @capturedbydream, W Steve Will Do It,W adin, W , W Stake.com, W Stake.comEddie, without you, it wouldn’t be possible. Thank you so so much 🚀

VitalyTheGoat🐐

136,437 Aufrufe • vor 1 Jahr

He built an AI saas with no code. Now it makes $100K per month. The idea? Combine all AI tools into one that people actually want to pay for. I chatted with Dustin W. Stout for a few hours, so here's the top 4% of our conversation: > The $100k MRR saas he built revealed (0:59) > How to build with no coding experience and no money (03:56) > How he validated fast with $3k generated in the first month (04:13) > The no-code software he used to build the entire thing (08:10) > Why your products should not define you (10:13)

He built an AI saas with no code. Now it makes $100K per month. The idea? Combine all AI tools into one that people actually want to pay for. I chatted with Dustin W. Stout for a few hours, so here's the top 4% of our conversation: > The $100k MRR saas he built revealed (0:59) > How to build with no coding experience and no money (03:56) > How he validated fast with $3k generated in the first month (04:13) > The no-code software he used to build the entire thing (08:10) > Why your products should not define you (10:13)

Starter Story

15,356 Aufrufe • vor 3 Monaten

Think of it as the Shopify of Claude Code, but for agents, commands, and MCPs 🚀 Pick what you need, “add to cart,” and… it’s 100% FREE. Just copy the command, paste it in your terminal, and instantly get the perfect Claude Code stack for your project. Built as an open-source project so the community can spin up, share, and install Claude Code stacks in seconds, no setup headaches, no paywalls. Here’s the video showing how I built this post… and yes, if you share the command, anyone can clone the exact same stack you’re using. Enjoy, share, and help others build faster with Claude Code ✨

Think of it as the Shopify of Claude Code, but for agents, commands, and MCPs 🚀 Pick what you need, “add to cart,” and… it’s 100% FREE. Just copy the command, paste it in your terminal, and instantly get the perfect Claude Code stack for your project. Built as an open-source project so the community can spin up, share, and install Claude Code stacks in seconds, no setup headaches, no paywalls. Here’s the video showing how I built this post… and yes, if you share the command, anyone can clone the exact same stack you’re using. Enjoy, share, and help others build faster with Claude Code ✨

Daniel San

124,913 Aufrufe • vor 11 Monaten

Open Beta testing will commence soon, we have a small group of testers for now so just wait and I’ll reach out , but the people’s trading terminal is nearly done. The launcher is also done, you can see it on the left. We are going to make some upgrades to the Ui, and UX and remove some of those messages you see in the video, those are mostly for testing. And scale the speed and such but yeah core functionality is pretty good. We have been testing on main-net (sol) already so we are nearly good to go. It’s all built in rust so it’s fast and scalable. With Mobile first UI/UX also so you can ape like axiom but do it while taking a 💩.

Open Beta testing will commence soon, we have a small group of testers for now so just wait and I’ll reach out , but the people’s trading terminal is nearly done. The launcher is also done, you can see it on the left. We are going to make some upgrades to the Ui, and UX and remove some of those messages you see in the video, those are mostly for testing. And scale the speed and such but yeah core functionality is pretty good. We have been testing on main-net (sol) already so we are nearly good to go. It’s all built in rust so it’s fast and scalable. With Mobile first UI/UX also so you can ape like axiom but do it while taking a 💩.

Skely

20,940 Aufrufe • vor 7 Monaten

Anthropic just paid millions to hire Andrej Karpathy. He gave you the same knowledge for $0 the same week. Co-founder of OpenAI. Former head of AI at Tesla. The man who coined vibe coding. No recruitment fee. No exclusive access. Just a link and 29 minutes. LLMs are ghosts not animals. Vibe coding is dead. Software 3.0 is here. Watch it. Then read this. Because Karpathy tells you what Software 3.0 is. This shows you how to build one - a software factory with Claude Code that ships features while you sleep. The full build guide is below.

Anthropic just paid millions to hire Andrej Karpathy. He gave you the same knowledge for $0 the same week. Co-founder of OpenAI. Former head of AI at Tesla. The man who coined vibe coding. No recruitment fee. No exclusive access. Just a link and 29 minutes. LLMs are ghosts not animals. Vibe coding is dead. Software 3.0 is here. Watch it. Then read this. Because Karpathy tells you what Software 3.0 is. This shows you how to build one - a software factory with Claude Code that ships features while you sleep. The full build guide is below.

Rahul

1,201,309 Aufrufe • vor 1 Monat