🐏 Software Shepherd @vercel 💚 Contributor to @nextjs @reactjs @nodejs @tc39 🤵 Husband & Father ✝️ Jesus lover

Joined May 2008
Steven ⬢ retweeted
New from Vercel Labs: tsc-ts TypeScript was written in TypeScript Then rewritten in Go We ported it back to TypeScript Compiled it with scriptc And it's 2-4x faster than tsgo
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Unlimited Vercel Blob stores on every plan. Starting today there's no limit on how many stores you can have. A store per customer, project, or job now works at any scale. vercel.com/changelog/unlimit…
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Jev by @typesafeai is free on Vercel AI Gateway until Sept 25. Build with the fastest adopted model on the Gateway at no cost. vercel.com/ai-gateway/models… xitter.cf/vercel/status/21010773…
Jev was adopted faster than any other model in AI Gateway history. In the first day, @typesafeai reached ~13% of teams, 2x the GPT-5.6 family and 6x Fable 5.1.
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Wild that the vercel-labs org is already number 54 for most stars on github (currently 220k ⭐) gitstar-ranking.com/organiza…
Introducing Vercel Labs Tools for devs in the AI era agent-browser, skills, json-render, deepsec, fx, just-bash, portless, vgpu and more We experiment in public: ship early, learn from feedback, and keep working on what people find useful We've been shipping under the Labs name for a while. Now, Labs is an official team at Vercel focused on exploring new capabilities and primitives that change what developers and agents can do. Here's what to expect: → Labs products: maintained, supported, built to be relied on → Active experiments: moves fast, expect rough edges and breaking changes → Past experiments: ideas that become new projects, make it into existing products, or teach us what to build next vercel.com/labs?experiment-i…
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This is why I still buy music. Streaming is nice to find something new but you won't actually care about something unless you buy it.
Someone explain this. I pay for Netflix, HBO, Disney+, Prime. Unlimited movies. I never watch anything. I buy one movie for $19 on Apple TV. I watch that.
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The best part about hosting on Vercel - any performance improvement to the CDN makes websites faster for everyone ✨ Don't forget to redeploy 🚀
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Steven ⬢ retweeted
eve agents now have memory. Use built-in file memory, a memory service, or your own provider to retain context across sessions. 𝚎𝚟𝚎 𝚊𝚍𝚍 𝚖𝚎𝚖𝚘𝚛𝚢/𝚏𝚒𝚕𝚎
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Steven ⬢ retweeted
You're gonna wanna read this one
Introducing Flat Rate CDN for Pro teams. • Fixed monthly pricing in one predictable bill • Premium global network performance • Automatic protection for viral spikes vercel.com/blog/introducing-…
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You're gonna wanna read this one
Introducing Flat Rate CDN for Pro teams. • Fixed monthly pricing in one predictable bill • Premium global network performance • Automatic protection for viral spikes vercel.com/blog/introducing-…
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Steven ⬢ retweeted
We closed 1,500 issues on 𝚟𝚎𝚛𝚌𝚎𝚕/𝚗𝚎𝚡𝚝.𝚓𝚜 in one month by building a 𝚌𝚕𝚘𝚜𝚊𝚋𝚒𝚕𝚒𝚝𝚢 agent with @eve. The workflow: 1. Search related work 2. Try to reproduce bugs across versions in a sandbox 3. Return context for review nextjs.org/blog/how-we-close…
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__SECRET_AGENTS_DO_NOT_USE_OR_YOU_WILL_BE_TERMINATED
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Bun 1.4 is available in Vercel Functions. • Supports WebSockets and 𝙱𝚞𝚗.𝚜𝚎𝚛𝚟𝚎() • Supports Next.js, Elysia, Hono and others • Runs on Fluid with Active CPU billing Set "bunVersion": "1.4.x" in vercel.json to upgrade. vercel.com/changelog/bun-1-4…
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Steven ⬢ retweeted
Free, open source harness¹ Free, open weights model thru Aug 27² What a time to be alive ¹ fx.sh ² GLM-5.2 via @blackboxai
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Steven ⬢ retweeted
fx.sh is 6.3mb. It starts up in 10µs¹. It's a Zig-compiled static ELF binary, or an even smaller 𝚕𝚒𝚋𝚏𝚡.𝚠𝚊𝚜𝚖² AI will make most infrastructure natively optimized. Case in point: fx can literally finish tasks faster than other agents can boot. Fast is a one-way street. ¹ that's microseconds ² fun fact: the wasm build is actually *smaller*. A lot of binary weight comes from the TLS/HTTP stack. In WebAssembly, fx delegates 𝚏𝚎𝚝𝚌𝚑() to the JS runtime instead. You can try this on fx.sh/try
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Introducing fx, a tiny, open, native coding agent from Vercel Labs. Originally an internal tool, fx is a harness and CLI written in Zig, optimized for research and embedding in larger systems. Today, we're open sourcing it. fx is built on three principles: 1. Fast. A single native binary, no runtime to install. It cold starts in 10µs and does no unnecessary work or I/O before accepting input. fx is the answer to "how fast can a coding agent be?" 2. Light. The 6.3MiB binary uses single-digit megabytes of memory at baseline, made for instant installation and embedding in resource-constrained environments and agent sandboxes. 3. Open. Apache-2.0, model and provider agnostic, suitable for local and cloud inference. Its small core extends through skills, plugins, and MCP. Minimalism is an obsession throughout the entire harness: system prompt, tools, features, binary. The goal was to keep context usage and time to first token low, and make fx optimal for model benchmarking, sandboxing, evals, and gyms. You can use fx directly or embed it as infrastructure. The CLI feels more like a Unix shell than an IDE in the terminal: it preserves scroll history, produces minimal output, and uses complex TUI rendering very, very sparingly. Programmatically, 𝚏𝚡 𝚊𝚜𝚔 --𝚓𝚜𝚘𝚗 gives structured output, 𝚏𝚡 𝚊𝚌𝚙 connects to editors and other clients, and WebAssembly can even run the whole thing inside the browser (see: fx.sh/try). Privacy is a design constraint: no product telemetry, sessions and usage stay local, and no source code or prompts are shared with any endpoint other than inference. With local inference and auto-updates off, fx is fully hermetic. fx is experimental. Use at your own risk and expect frequent changes. Chat with us on X (fx.sh/xchat) or file issues (fx.sh/issues). 𝚌𝚞𝚛𝚕 -𝚏𝚜𝚂𝙻 𝚏𝚡.𝚜𝚑/𝚜𝚎𝚝𝚞𝚙.𝚜𝚑 | 𝚋𝚊𝚜𝚑 fx.sh/
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