Agent Engineering with LangChain 1.0
LangChain has officially reached v1.0 status after many years in development, and has announced their Series B!
LangChain has become the definitive platform for building agents, deploying them production, and monitoring and improving them in operations.
With the breaking changes v0 to v1, the name changes within LangGraph and LangSmith, and true agent builders on the horizon, we’re here to review everything you need to know to build 🏗️, ship 🚢, and share 🚀 production-grade LLM applications with the Lang-X ecosystem in 2026!
LangChain is the fastest way to build an AI agent — with a standard tool calling architecture, provider agnostic design, and middleware for customization.
LangGraph is a lower level framework and runtime, useful for highly custom and controllable agents, designed to support production-grade, long running agents [Ref]
LangSmith is a comprehensive platform for agent engineering that helps AI teams use live production data for continuous testing and improvement. [Ref]
We’ve been covering LangChain for more than 2 years on this channel, and we’re excited to not only cover the concepts and code behind the 1.0 release, but to take a trip down memory lane and tell (as far as we can see it) the story of LangChain’s evolution!
And, as always, we’ll build 🏗️, ship 🚢, and share 🚀 something dope! Expect walkthroughs of the agent engineering ecosystem, from simple to complex and from prototyping to production≠
🤓 Who should attend
AI Engineers who want to build with the leading agent engineering framework in 2026.
AI Engineering leaders who want to understand what’s new about the LangChain ecosystem
Aspiring agent developers who are looking to get started in their journey - this is one of the right tools at the right time!
Speaker Bios
Dr. Greg” Loughnane is the Co-Founder & CEO of AI Makerspace, where he is an instructor for their AI Engineering Bootcamp. Since 2021, he has built and led industry-leading Machine Learning education programs. Previously, he worked as an AI product manager, a university professor teaching AI, an AI consultant and startup advisor, and an ML researcher. He loves trail running and is based in Columbus, Ohio.
Chris “The Wiz” Alexiuk is the Co-Founder & CTO at AI Makerspace, where he is an instructor for their AI Engineering Bootcamp. During the day, he is also a Developer Advocate at NVIDIA. Previously, he was a Founding Machine Learning Engineer, Data Scientist, and ML curriculum developer and instructor. He’s a YouTube content creator who’s motto is “Build, build, build!” He loves Dungeons & Dragons and is based in Toronto, Canada.
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