David Duong

160 posts

David Duong

David Duong

@__dqbd

Developer @LangChainAI

Prague เข้าร่วม Mayıs 2009
706 กำลังติดตาม1.4K ผู้ติดตาม
David Duong รีทวีตแล้ว
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☕️ Building agents in Java or Go? We want to hear from you! Join the waitlist to get early access and help shape the future of LangGraph in your language. Sign up ➡️ airtable.com/appeUtF0AROUCZ…
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David Duong
David Duong@__dqbd·
RT @Vtrivedy10: Building Better Coding Agent Harnesses at @LangChain we're thinking hard about the science of harness engineering + open re…
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David Duong รีทวีตแล้ว
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🎉📅 Interrupt 2026 — the AI Agent Conference by LangChain — is back May 13-14 in SF 1,000+ practitioners. Production agents. Real world lessons. Why you should come: → Hear from teams scaling agents in production → Get hands-on in workshops with the LangChain team → See new product drops first → Connect with builders solving the same challenges you are 🎟️ Tickets drop Feb 12 — seats are limited Sign up to get notified: interrupt.langchain.com/?utm_medium=so…
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David Duong รีทวีตแล้ว
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We surveyed 1,300+ developers and business leaders to understand how AI agents are actually being built, tested, and shipped to real users. What are the most popular agent use cases? Biggest challenges when building agents? And who's really using observability or evals tooling? Read the full report here ➡️ bit.ly/state-of-agent… Here's 6 key insights below 🧵👇
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Yashsmith shah
Yashsmith shah@Yashsmith_dev·
@langchain Real Q: Is fetch output optimized for agent context windows (like Cursor) or is it just raw JSON ? Piping full traces usually = instant token overflow Curious if the CLI formats it to actually fit the token budget
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Today, we’re shipping new ways to observe, analyze, and debug agents with LangSmith: • Polly: an AI assistant for AI engineering that helps you understand traces, threads, and improve prompts • LangSmith Fetch: a CLI for pulling trace & thread data straight into your terminal
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David Duong
David Duong@__dqbd·
An agent for your agents 🔄
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Harrison Chase
Harrison Chase@hwchase17·
🥳Announcing LangChain and LangGraph 1.0 LangChain and LangGraph 1.0 versions are now LIVE!!!! For both Python and TypeScript Some exciting highlights: - NEW DOCS!!!! - LangChain Agent: revamped and more flexible with middleware - LangGraph 1.0: we've been really happy with LangGraph and this is our official stamp of approval - Standard content blocks: swap seamlessly between models Read more about it here: blog.langchain.com/langchain-lang… We hope you love it!
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David Duong
David Duong@__dqbd·
RT @sydneyrunkle: So proud to share LangChain and LangGraph 1.0 with you all! 🥳 We've packed in so many improvements - a new agent builder…
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David Duong
David Duong@__dqbd·
@hwchase17 Amazing work on getting LangChain and LangGraph to 1.0!
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David Duong
David Duong@__dqbd·
It's been a journey!
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Christian Bromann
Christian Bromann@bromann·
Saw @arafatkatze's brilliant thread on the 3-state agent pattern and took it as a challenge! 🚀 Built it with LangChain v1 alpha's new middleware concept - turns out this elegant pattern maps perfectly to middleware's lifecycle hooks. The simplicity is beautiful. 🧵👇
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Ara@arafatkatze

Here's the simplest explanation of @cline's agentic algorithm. It's just a state machine that classifies every request with a tool call into 3 types: 1. Question tools (need clarification) 2. Action tools (gather context) 3. Completion tools (present results) That's it.

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David Duong
David Duong@__dqbd·
@teknium Now `cursor [folder]` takes multiple seconds instead...
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No, no I do not!
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Alex Yang
Alex Yang@alexyang·
I think we need AsyncContext (AsyncLocalStorage) in TC39 Stage 3, ASAP
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David Duong รีทวีตแล้ว
Christian Bromann
Christian Bromann@bromann·
🚀 Excited to share my first big contribution since joining @LangChain a month ago! We’re introducing Middleware in LangChain 1.0 — a new agent abstraction that finally gives developers full control over context engineering. Flexible. Composable. Adaptable — supports implementing different agent anthropologies like reflection, swarms, supervisors, and more It's in alpha but go try it out, I would love your feedback 😊 Blog 👉 blog.langchain.com/agent-middlewa… I am gonna post a lot of agent content within the next time, so stay tuned 🤟 More to come soon ✨
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David Duong รีทวีตแล้ว
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🚀Agent Middleware The core agent loop is dead simple - but there are lots of small variants to state management or steps that you may want to tweak Middleware lets you do that! New in LangChain 1.0alpha Blog: blog.langchain.com/agent-middlewa… Docs: docs.langchain.com/oss/python/lan…
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