Learn the engineering patterns behind reliable AI agents. Weekly lessons from production.
Every week, you get practical lessons on building AI systems that work beyond the demo stage:
- Harness engineering patterns — verification loops, context management, checkpoint-resume flows
- Career guidance — skills, interviews, and career paths for the emerging harness engineer role
- Production lessons — what actually breaks when you ship agents at scale
- Framework tutorials — hands-on guides for LangChain, CrewAI, AutoGen, and more
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Who Writes This
Written by Kai Renner, PhD in Computer Engineering with 10+ years building AI/ML systems in production. Every issue comes from real experience building and operating agent systems at enterprise scale.