Follow AI Builders — Not Influencers

RT Alex Volkov Tix booked for @aiDotEngineer first Europe event! 🔥 Looking forward to meet new friends! See you there @swyx @MilksandMatcha @osanseviero @badlogicgames @vincent_koc @Prince_Canuma @Whats_AI @tldraw @patrickdebois @WolframRvnwlf and tons of other amazing folks! Original tweet: https://x.com/altryne/status/2035773501395841251

RT LangChain And that's a wrap on GTC week! - We announced our enterprise agentic AI Platform built with NVIDIA. LangGraph and Deep Agents plug directly into NVIDIA's tooling. You can build agents with the latest Nemotron 3 models deployed with NIM microservices, apply NeMo Guardrails for securing agentic applications, and leverage NeMo Agent Toolkit to optimize your agents and monitor with LangSmith Observability: https://blog.langchain.com/nvidia-enterprise/ - Jensen announced in his keynote: LangChain frameworks have crossed 1B downloads - Harrison participated in a panel on Open Models with Jensen, Michael Truell, Aravind Srinivas, Mira Murati, and more Original tweet: https://x.com/LangChain/status/2035772503457480923

You can just shoot things.

you shouldn't be allowed to be a VC if you haven't worked/built a startup idk why this would be controversial

We’ve created an agents skill that gives all of your agents the power to understand the most complex PDFs - with dense tables, unlabeled charts, messy handwriting and more. Our LlamaParse agents skill can be installed in one-line thanks to @vercel’s skills utility. LlamaParse orchestrates VLMs to deliver best-in-class accuracy over 40+ document types. The skills file allows agents to invoke it when needed to translate complex PDFs into agent-readable plaintext markdown. `npx skills add run-llama/llamaparse-agent-skills --skill llamaparse` If you prefer something fast, free, and local, you can similarly install liteparse as a skill. Come check it out: https://developers.llamaindex.ai/python/cloud/llamaparse/agent-skill?utm_source=xjl&utm_medium=social Sign up to LlamaParse: https://cloud.llamaindex.ai/?utm_source=xjl&utm_medium=social

RT LangChain 💫 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 ➡️ https://academy.langchain.com/courses/building-reliable-agents/?utm_medium=social&utm_source=twitter&utm_campaign=q1-2026_academy-launch-reliable-agents_aw Original tweet: https://x.com/LangChain/status/2035757438247334087

YEAHHHH BUDDYY