Alberto Jauregui

super stoked to organize & host the 1st @cursor_ai community meetup in saint pete, fl 🧙‍♀️ if you're in the tampa bay area, swing on by! the deets: + 03/23 @spARKbyARK 5-8 PM EST + build n' tell sesh + remote q&a w/ Cursor team member + networking RSVP luma.com/r7l4p41f

You can now enable Claude to use your computer to complete tasks. It opens your apps, navigates your browser, fills in spreadsheets—anything you'd do sitting at your desk. Research preview in Claude Cowork and Claude Code, macOS only.

See y'all this evening at @spARKbyARK Labs for our first @cursor_ai community meetup! 70+ people have already secured their spots 👀 If you haven't RSVP'd yet, there are a handful of seats left ⬇️

You can now schedule recurring cloud-based tasks on Claude Code. Set a repo (or repos), a schedule, and a prompt. Claude runs it via cloud infra on your schedule, so you don’t need to keep Claude Code running on your local machine.

💫 New LangChain Academy Course: Building Reliable Agents 💫 Shipping agents to production is hard. Traditional software is deterministic – when something breaks, you check the logs and fix the code. But agents rely on non-deterministic models. Add multi-step reasoning, tool use, and real user traffic, and building reliable agents becomes far more complex than traditional system design. The goal of this course is to teach you how to take an agent from first run to production-ready system through iterative cycles of improvement. You’ll learn how to do this with LangSmith, our agent engineering platform for observing, evaluating, and deploying agents. Enroll for free ➡️ academy.langchain.com/courses/buildi…

Introducing LangSmith Fleet: an enterprise workspace for creating, using, and managing your fleet of agents. Fleet agents have their own memory, access to a collection of tools and skills, and can be exposed through the communication channels your team uses every day. Fleet includes: → Agent identity and credential management with “Claws” and “Assistants” → Sharing and permissions to control who can run, clone, and edit (just like Google Docs) → Custom Slack bots so each agent has its own identity in Slack Try Fleet: smith.langchain.com/agents?skipOnb… Read the announcement: blog.langchain.com/introducing-la…

Devin can now manage a team of Devins. Devin will break down large tasks and delegate them to parallel Devins that each run in their own VM. Over time, Devin gets better at breaking down and managing tasks for your codebase. Available now for all users.

Today we're announcing Agent Auth Protocol An open standard for agent authentication, capability based authorization and service discovery ⇃read more ⇂

We just released Claude Code channels, which allows you to control your Claude Code session through select MCPs, starting with Telegram and Discord. Use this to message Claude Code directly from your phone.

v0.2.1 of the Code Mode SDK is live. You can now wrap MCP servers, enjoy zero-dependency imports, and inject custom modules into the sandbox. developers.cloudflare.com/changelog/post…

@Austen yes 🪽

You can already tell from setup Hermes Agent is not messing around

< 1 week out from the 1st @cursor_ai community meetup in St. Pete, FL 🌴 March 23rd. @spARKbyARK. 5–8 PM EST. Come see what local devs are building w/ Cursor, hear directly from the Cursor team, and meet people who are actually shipping with AI (not just talking about it) 👩‍💻 luma.com/r7l4p41f

@tibor_tee Thank you for the warm welcome ❤️ Super excited to be part of the Cursor community 🙂

Great to see also events also in the Tampa Bay Area. Welcome aboard Alberto!

We're shipping a new feature in Claude Cowork as a research preview that I'm excited about: Dispatch! One persistent conversation with Claude that runs on your computer. Message it from your phone. Come back to finished work. To try it out, download Claude Desktop, then pair your phone.

Subagents are now available in Codex. You can accelerate your workflow by spinning up specialized agents to: • Keep your main context window clean • Tackle different parts of a task in parallel • Steer individual agents as work unfolds

@sudoingX RTX 3080 ti

drop your GPU below. i'll tell you exactly what model and config to run on it. here's what i've tested and verified on real hardware: RTX 3060 12GB - Qwen 3.5 9B Q4 - 50 tok/s - 128K context RTX 3090 24GB - Qwen 3.5 27B Q4 - 35 tok/s - 300K context RTX 3090 24GB - Qwen 3.5 35B MoE Q4 - 112 tok/s - 262K context 2x RTX 3090 - Qwen3-Coder 80B Q4 - 46 tok/s - full VRAM all running llama.cpp with flash attention. every number is real. every config is tested. if your card isn't on this list drop it below and i'll tell you what fits.

A small thank you to everyone using Claude: We’re doubling usage outside our peak hours for the next two weeks.