Daniel and 10 others

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Daniel and 10 others

Daniel and 10 others

@techwraith

Engineering Director, AI Enablement at @Vercel | @aisdk, AI Gateway, and @WorkflowDevKit | Previously Founded @askviable, VPE @eaze, and early eng @Yammer.

Silverton, OR 参加日 Mart 2008
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Daniel and 10 others がリツイート
Hayden Bleasel
Hayden Bleasel@haydenbleasel·
really cool approach to knowledge agents — skip the usual vector db + chunking pipeline and try something different with sandbox + workflows ↓
Ben Sabic@BenSabic

Most knowledge agents start the same way. You pick a vector database, then build a chunking pipeline. You choose an embedding model and then tune the retrieval parameters. I recently authored this piece on the @Vercel blog, breaking down a different and better way you can create knowledge agents. Powered by Vercel Sandbox, Workflows, Chat SDK, and more. h/t @hugorcd for creating the beautiful template that led to the creation of this blog post. vercel.com/blog/build-kno…

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Vercel
Vercel@vercel·
Your users are on Slack, Discord, Teams, WhatsApp, Telegram, GitHub, Linear, and more. Your agents should be too. Chat SDK lets your agents run on every platform from a single codebase. Watch the announcement ↓
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Melkey
Melkey@MelkeyDev·
Excited to share what i've been working on with @johnlindquist and @andrewqu - the ultimate Vercel plugin. Not just a bunch of skills thrown in a repo. Intelligent injection utilizing agent hooks. Try it out. A must have for shipping 🚢
Vercel Developers@vercel_dev

One plugin. One command. Every skill: ▲ ~/ npx plugins add vercel/vercel-plugin The Vercel plugin for coding agents turns isolated capabilities into coordinated expertise, with: • 47+ specialized skills • Sub-agents for deployments, performance, and more • Dynamic context management for precision and cost control From single tasks to full workflows, agents like Claude Code and Cursor can further understand how to build and ship on Vercel. vercel.com/changelog/intr…

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Mitchell Hashimoto
Mitchell Hashimoto@mitchellh·
Excited to share that I've joined Vercel's Board of Directors. Vercel is made up of builders and tastemakers that continually ship things that deeply impact how developers work: Next.js, AI SDK, v0, etc. I can't think of a more exciting place to be. Let's fucking ship. ▲ My relationship with Vercel goes back to the earliest days. HashiCorp was an early adopter of NextJS and Vercel (~10 years ago!) and it remains my default tech stack and deployment platform to this day. Ghostty's website is all on Vercel, too! Beyond that, I've been continually impressed with the teams relentless focus on shipping meaningful software. And importantly, software that has incredible taste. Now we are in the age of agentic software development. Vercel is building agentic infrastructure that I think every app and agent will need (I certainly need it!) and I can't think of a more exciting place to be. Huge thanks to @rauchg , Jeanne, Marten, @cramforce, @tomocchino and the entire Vercel team for the warm welcome. Time to work.
Mitchell Hashimoto tweet media
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Vercel Developers
Vercel Developers@vercel_dev·
One plugin. One command. Every skill: ▲ ~/ npx plugins add vercel/vercel-plugin The Vercel plugin for coding agents turns isolated capabilities into coordinated expertise, with: • 47+ specialized skills • Sub-agents for deployments, performance, and more • Dynamic context management for precision and cost control From single tasks to full workflows, agents like Claude Code and Cursor can further understand how to build and ship on Vercel. vercel.com/changelog/intr…
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ben guo 🪽
ben guo 🪽@0thernet·
oh hey @zocomputer is kind of a big deal 🥈
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Daniel and 10 others@techwraith·
@dharmesh If any provider goes down, we automatically fall back to an alternative (e.g. Bedrock, Vertex, or Azure)
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dharmesh
dharmesh@dharmesh·
Current Status: Dealing with the emotional roller coaster that is the Anthropic API right now (they're having an owie). On the one hand, I'm in a state of flow and trying to finish up some work for a demo video I want to record a screencast for. On the other hand, it's draining to keep retrying things 5 times in order to get it to work. Just creeping along. My best wishes to the Anthropic team. Never fun to be going through system issues -- especially on a Friday afternoon.
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Vercel
Vercel@vercel·
Vercel powers @NotionHQ's developer platform. Notion Workers use Vercel Sandbox to safely run code, giving agents the power to sync data, trigger automations, and call any API. vercel.com/blog/notion-wo…
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Zed
Zed@zeddotdev·
Use @vercel AI Gateway as an LLM provider. Thanks dancer!
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AI SDK
AI SDK@aisdk·
AI SDK has passed 10 million downloads per week. Thank you to our community, from the contributors to the educators.
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Hugo
Hugo@hugorcd·
Add GitHub to your AI agent in 2 lines of code Just built @𝗀𝗂𝗍𝗁𝗎𝖻-𝗍𝗈𝗈𝗅𝗌/𝗌𝖽𝗄 for the @vercel @aisdk What you get: • 21 tools covering repos, PRs, issues, commits & search • Pre-built agents (code review, issue triage, repo explorer) • Smart presets to scope your toolsets • Built-in approval control for write operations Learn more at github-tools.com
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Spike Brehm
Spike Brehm@spikebrehm·
wild times
CG@cgtwts

Let me explain what just happened, because I don’t think people realize how INSANE this is. > Cortical Labs put 200,000 real human brain cells onto a silicon chip and trained them to play Doom in just one week. > Each CL1 system costs $35,000. > A rack of 30 units consumes only 850–1,000 watts combined. > The human brain operates on 20 watts. > Large AI training clusters burn through megawatts. >Backed by In-Q-Tel. 115 units began shipping in 2025. > Cortical Labs is selling “Wetware as a Service” through Cortical Cloud, letting developers deploy code remotely to living human neurons with no lab required, > priced like a software subscription but powered by real brain cells grown from adult skin and blood samples. > it isn’t about gaming, it’s about biological computing that could eventually outperform traditional silicon in energy efficiency and adaptability. This is getting really scary and we’re still at the very beginning.

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Malte Ubl
Malte Ubl@cramforce·
Fun updates for Chat SDK 1. Tables in markdown. Some creativity is needed here because none of the chat apps actually support tables natively 2. Support for rendering streaming markdown. Chat SDK emulates agent streaming using edits on platforms without native support. So, that is relatively simple (using remend to heal intermediate markdown). But for Slack, which has native streaming support, this is actually quite the challenge: - You have to translate to the markdown-like syntax Slack supports - But the stream is strictly append-only - So, you need a streaming parser that buffers long enough to be able to have confidence on how something will parse. But you also want to minimize buffering to not kill the streaming. - This is shipped now The upshot: You don't need to know any of this. Just pipe your agent output to Chat SDK and it will do the rest. vercel.com/changelog/chat…
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Daniel and 10 others@techwraith·
@nbaschez Same. Also aphantasia. I do actually have a bit of a monologue, but it's 100% intentional. I don't think I've ever had a verbal intrusive thought.
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Vercel Developers
Vercel Developers@vercel_dev·
Anyone can build a Slack agent on Vercel, even if you've never touched OAuth scopes or webhook verification. You just need the right skill. ▲ ~/ 𝚗𝚙𝚡 𝚜𝚔𝚒𝚕𝚕𝚜 𝚊𝚍𝚍 𝚟𝚎𝚛𝚌𝚎𝚕-𝚕𝚊𝚋𝚜/𝚜𝚕𝚊𝚌𝚔-𝚊𝚐𝚎𝚗𝚝-𝚜𝚔𝚒𝚕𝚕
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ディスカバー

@johnlindquist @andrewqu @rauchg @cramforce @tomocchino @wegladlyfeast @zocomputer @dharmesh