Lance Martin
Machine learning engineer at LangChain with deep experience building production ML systems; guest on this episode to discuss context engineering, agent harnesses, and engineering practices for LLM-powered applications.
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120 snips
Nov 13, 2025 • 51min
Episode 28: From Context Engineering to AI Agent Harnesses: The New Software Discipline
Lance Martin, a machine learning engineer at LangChain, dives into the evolving landscape of AI engineering. He emphasizes the importance of context engineering and how traditional ML rules are becoming obsolete. The conversation covers why adaptable systems thrive, the architectural advantages of 'agent harnesses,' and the shift towards in-app user feedback for evaluating AI systems. Lance also shares insights on balancing autonomy in agents with human oversight and techniques for managing costs and performance in complex AI tasks.
17 snips
Jan 16, 2026 • 1h 3min
Lance Martin - LangChain
Join Lance Martin, an AI practitioner known for his expertise in context engineering and LangChain, as he dives into fascinating topics. He discusses the importance of context engineering and how to manage it with tools like shells and file systems. Lance explains context rot, model context protocols, and the challenges of memory management in AI systems. Delve into subagents for task isolation and the nuances of multi-agent collaboration. Get insights on evolving context and the future of personal assistant agents!
