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Introducing json-render AI-generated UI. Deterministic output. 1. Define your component catalog 2. AI steams JSON 3. Render interactive UI Let users prompt dashboards, widgets and apps - safely constrained to components and actions you define

New agent-browser skill: Electron You can now control desktop apps built with Electron, including Discord, Figma, Notion, Spotify and VS Code Or, use it to debug your own Electron app Add it to any coding agent: npx skills add vercel-labs/agent-browser --skill electron

Introducing zero-native Build native desktop + mobile apps with web UI and Zig → Tiny binaries, low memory usage → Selectable web engines (WKWebView, WebKitGTK, WebView2, Chromium/CEF) → Next.js, Vue, Svelte, Vite, React → macOS, Linux, Windows, iOS, Android

New: Autonomous Dogfooding A skill for agent-browser that uses your app the way your users do → Point it at any URL → Explores pages, clicks buttons, fills forms → Tests edge cases and checks the console → Captures repro videos and step-by-step screenshots → Outputs a structured report with severity ratings No test scripts. No manual QA.

Portless killed :3000 Dev servers got stable names like myapp.localhost Agents could use worktrees in parallel without stepping on each other Now it's easier than ever in v0.11 Just run: portless Zero config. Zero args. Zero code changes.

Terminal automation + e2e testing solved Now as simple as snapshot, click, type: – wterm renders terminal-in-html, every cell in the a11y tree – agent-browser automates pages via the a11y tree Here's opencode in one browser driving Claude Code in another

We got on-demand asset creation for your vibe-coded, web-based three.js Sims game before GTA 6

Introducing render-json The Generative JSON framework. 1. Point it at anything 2. It generates JSON 3. That's it Apps, games, and more. If it exists, it can be converted into a JSON spec. 𝚗𝚙𝚖 𝚒 @𝚓𝚜𝚘𝚗-𝚛𝚎𝚗𝚍𝚎𝚛/𝚛𝚎𝚗𝚍𝚎𝚛-𝚓𝚜𝚘𝚗

Introducing Zero The programming language for agents. I wanted a systems language that was faster, smaller, and easier for agents to use and repair. Explicit capabilities. JSON diagnostics. Typed safe fixes. Made for agents on day zero.

Introducing Generative TUI Ask anything - get polished dashboards with real data, rendered live in your terminal. 27 components. Streaming. json-render + Ink. npx skills add vercel-labs/json-render --skill ink

Introducing Native SDK The toolkit for building native apps → Hot reload → Markup + Zig → Instant launch → macOS, Windows and Linux → GPU engine built from scratch → Built-in design system and themes → Custom components + design tokens

agent-browser is now fully native Rust. The results: 1.6x faster cold start. 18x less memory. 99x smaller install. Less abstraction means faster shipping, more control, and capabilities that weren't possible before. Now with 140+ commands across navigation, interaction, state management, network control, debugging, and multi-engine support. It's become the tool we wished existed when we started building it. Thanks to everyone who reported issues, contributed fixes, and helped shape this release. More to come.

Introducing Generative UI for Claude Code, Codex and Pi Charts, forms, 3D, anything Your agent renders real UI for users while it works in a sandbox Powered by AI SDK's experimental HarnessAgent + json-render

Introducing @𝚠𝚝𝚎𝚛𝚖/𝚐𝚑𝚘𝚜𝚝𝚝𝚢 Ghostty for wterm DOM-native terminal rendering Full VT powered by libghostty → browser primitives just work → easy to extend and integrate → drop-in components for React, Vue and vanilla JS

Opus 4.5 was released 42 days ago

Introducing Zero The programming language for agents. I wanted a systems language that was faster, smaller, and easier for agents to use and repair. Explicit capabilities. JSON diagnostics. Typed safe fixes. Made for agents on day zero.

Introducing json-render AI-generated UI. Deterministic output. 1. Define your component catalog 2. AI steams JSON 3. Render interactive UI Let users prompt dashboards, widgets and apps - safely constrained to components and actions you define

GPT-5.5 for code Opus 4.7 for review

Introducing zero-native Build native desktop + mobile apps with web UI and Zig → Tiny binaries, low memory usage → Selectable web engines (WKWebView, WebKitGTK, WebView2, Chromium/CEF) → Next.js, Vue, Svelte, Vite, React → macOS, Linux, Windows, iOS, Android

Introducing Native SDK The toolkit for building native apps → Hot reload → Markup + Zig → Instant launch → macOS, Windows and Linux → GPU engine built from scratch → Built-in design system and themes → Custom components + design tokens

agent-browser is now fully native Rust. The results: 1.6x faster cold start. 18x less memory. 99x smaller install. Less abstraction means faster shipping, more control, and capabilities that weren't possible before. Now with 140+ commands across navigation, interaction, state management, network control, debugging, and multi-engine support. It's become the tool we wished existed when we started building it. Thanks to everyone who reported issues, contributed fixes, and helped shape this release. More to come.

anyone else stop using eslint?

New agent-browser skill: Electron You can now control desktop apps built with Electron, including Discord, Figma, Notion, Spotify and VS Code Or, use it to debug your own Electron app Add it to any coding agent: npx skills add vercel-labs/agent-browser --skill electron

Opus 4.5 was released 42 days ago

New: Autonomous Dogfooding A skill for agent-browser that uses your app the way your users do → Point it at any URL → Explores pages, clicks buttons, fills forms → Tests edge cases and checks the console → Captures repro videos and step-by-step screenshots → Outputs a structured report with severity ratings No test scripts. No manual QA.

Terminal automation + e2e testing solved Now as simple as snapshot, click, type: – wterm renders terminal-in-html, every cell in the a11y tree – agent-browser automates pages via the a11y tree Here's opencode in one browser driving Claude Code in another

This is where we're at rn: I spent the 3-day weekend agent-coding a complex system: advanced networking, orchestration, caching, bare metal, reverse proxies, custom Linux kernel This would've taken me 1-2 years solo And the result might be one of the best in its category

MCP was a fun experiment

Introducing Generative UI for MCP Apps One server. Infinite interfaces. Instead of building views, define a component catalog. The AI assembles the right UI based on your API, CLI or MCP server tools. Works in Claude, ChatGPT, VS Code, Cursor and more

Portless killed :3000 Dev servers got stable names like myapp.localhost Agents could use worktrees in parallel without stepping on each other Now it's easier than ever in v0.11 Just run: portless Zero config. Zero args. Zero code changes.

I built Zero in 3 days. I didn't expect it to compile. I didn't expect it to mostly self-host. I definitely didn't expect it to work at all. Inspired partly by Bun's rewrite to Rust, Zero started as an experiment. Honestly, the project says more about where AI is today than it does about the language itself. It took more than 3,000 agent tasks to get here, and it's still nowhere near ready for serious comparisons, benchmarks or evals. But the goal is bigger than the current result. The hope is to either create a new language with tooling designed for agents from the ground up, or take learnings and apply it back to existing languages and ecosystems. The ideas are simple: 1. Make languages (and new versions) easy for agents to learn, adapt to and fix on the fly, even when not in the training data. 2. Build a standard library comprehensive enough that most projects don't need external dependencies. 3. Create a tight, fast development loop that even small models can reliably work with. I've never wanted to create a programming language. But after repeatedly running into the same problems, safe but slow builds, fast but unsafe builds, agents struggling with new languages and version changes, wanting faster builds, smaller bundles and better DX, I started wondering: Could accelerated, agent-driven iteration produce a language and tooling stack designed around these constraints from the start? So Zero was born.