AIMUG Builders Ep.2 – LLMs That Actually Ship
In our second episode of AIMUG Builders, we sat down with Jeff Linwood to dig into how LLMs can actually improve the software development lifecycle—not just generate snippets.
Jeff has 25+ years of development experience and is leading work on ZapCircle, a TypeScript + LangChain framework designed for real-world teams. This wasn't a theoretical chat—we went straight into what works, what breaks, and how to bring LLMs into existing systems.
🔑 Key Takeaways
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ZapCircle Framework (TS + LangChain) A practical dev framework that makes LangChain fit naturally into TypeScript apps.
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Behavior-Driven Development (BDD) with LLM prompts Using LLMs to turn plain-language scenarios into testable behaviors, making teams faster without skipping rigor.
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Human-in-the-loop Code Review Pipelines Why code review isn't going away—and how to build LLM assistive review flows that keep trust intact.
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Integration Patterns Hard lessons from trying to plug LLMs into existing stacks—where they accelerate teams, and where they can grind things to a halt.
🎥 Watch the Episode
Catch the full conversation on YouTube:
Why It Matters
So much LLM content online is toy demos. AIMUG Builders is about real engineering practices—things you can put into production tomorrow. If you're building with LangChain, LangGraph, or integrating LLMs into your stack, you'll find signal here.
About Jeff Linwood
Jeff brings 25+ years of software development experience to the table. He's currently leading development on ZapCircle, a TypeScript and LangChain framework built for real-world teams who need to ship production-grade AI applications.
His focus is on making LLMs practical for development teams—from BDD test generation to code review automation—while maintaining the rigor and trust that enterprise systems require.
Connect with Jeff:
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Austin LangChain AI Middleware User Group (AIMUG) is a community of AI practitioners, developers, and enthusiasts exploring the latest in AI agent architectures and middleware technologies.