LangChain

Been a blast working on this. Codegen — a generalist software developer agent — is now available for you to run on your Slack, Github, and Linear! Try it out -> https://lnkd.in/eKQNDiVp

🚀Evaluating and Scaling AI Agents Writer is a full-stack generative AI platform that delivers transformative ROI for the world’s leading enterprises How do they do it? I'm going to be chatting with their CTO Waseem Alshikh this Thursday in SF 👇 https://lu.ma/x7ohaj2c

Congrats to our friends at 11x for their launch of Julian, powered by LangGraph and LangGraph Platform 🚀

"Learning LangChain", a book co-written by Nuno Campos and Mayo Oshin is now available! In this book, JS & Python devs will get a step-by-step guide of how to build production-ready AI apps with LangGraph and LangChain. You'll learn how to: 🔹 Build & deploy AI agents that reason & retrieve real-time data 🔹 Harness RAG to enhance LLM accuracy & context-awareness 🔹 Monitor, test & evaluate AI apps to improve performance Get the book now from O'Reilly: https://lnkd.in/gBfkgEKq

🚀 Building the Future of Hiring with Agentic AI 🚀 What does it take to build the world's most elite team of specialized interview agents? A lot of engineering, a lot of iteration, and a deep commitment to solving the right problems. At Hireguide, we didn’t just add AI to hiring - we engineered a fully agentic system that deeply understands interviews, hiring best practices, and the nuances of decision-making. These agents don’t just generate content; they collaborate, adapt, and connect hiring workflows to make better decisions, faster. 🏗️ How We Built It To go beyond generic AI, we: ✅ Designed a multi-agent architecture: specialists, not generalists, for every hiring step. ✅ Embedded deep hiring expertise: equipping agents with I/O psychology best practices, real-world hiring patterns, and structured decision-making principles. ✅ Engineered for trust: our agentic system operates within dynamic guardrails based on context. For example: 🔹 When interviewers provide feedback with the agentic system’s assistance, it ensures they only access relevant data: never notes from other candidates or interviews—preventing bias and safeguarding fairness. 🔹 When assisting in hiring decisions, agents focus on structured evaluation criteria instead of subjective comparisons. Behind the Scenes Bringing this to life wouldn’t have been possible without some incredible tools and communities. Big thanks to LangChain & LangGraph (Harrison Chase and Team), which helped power our agentic workflows, and CopilotKit🪁 (Atai Barkai and Team) for enabling seamless AI-human collaboration in our UI. Why It Matters Hiring isn’t just about efficiency – it’s about quality, fairness, and insight. Every agent we build helps companies hire smarter while reducing bias and saving hiring teams hours per week. Seeing these agents go from an idea to impact—with 3X+ engagement growth—is incredible. This is just the beginning. Huge kudos to the entire team who made this possible! If you're curious, check out the demos in the comments. #HireKind

For their IDE plug-in for AI coding and testing, Qodo (formerly Codium) Gen 1.0 uses LangGraph + Anthropic's MCP to power dynamic, multi-step agentic coding workflows. Check out how they built it: https://lnkd.in/dwtvR9pD

🦜🔨LangGraph Builder Build the "cognitive architecture" of your agent in a UI, and generate code stubs! Video tutorial: https://lnkd.in/gu2g7ZfX Try it out here: https://lnkd.in/gcx8MwBC OSS as well: Frontend: https://lnkd.in/gAe3sGDf CLI: https://lnkd.in/gRr9K7MV

✨ Fireside Chat in SF with Harrison Chase (Co-Founder & CEO at LangChain) and Waseem Alshikh (Co-Founder & CTO at Writer) on Evaluating and Scaling Agents ✨ Join us for an exciting evening meetup in San Francisco hosted at Susa Ventures! Waseem and Harrison will take you behind the scenes of how top brands successfully deploy and scale AI agents. Learn about evaluation strategies, best practices, and real-world case studies. Enjoy snacks, drinks, and engaging discussions! Spots are limited, so RSVP now ➡️ https://lu.ma/x7ohaj2c

✨ AppFolio’s copilot, Realm-X – powered by LangGraph and LangSmith – saves property managers over 10 hours per week ✨ Realm-X Assistant is an AI copilot designed to streamline property managers’ daily tasks. It offers a conversational interface that empowers users to understand their business, get assistance, and take bulk actions – whether it's querying information, sending messages, or scheduling tasks related to residents, vendors, units, bills, work orders, and more. Moving Realm-X to LangGraph increased response accuracy 2x ‼️ Read more about how AppFolio is transforming their property management workflows ➡️ https://lnkd.in/gv2DaVt6 

🔒 Secure RAG + Auth0 FGA Build secure RAG by combining LangGraph's workflow engine with Auth0 FGA's fine-grained authorization. Features graph pipelines and custom retrievers for document-level security. Learn more here 👉 https://lnkd.in/ghRrm9JM