📚 A free course on making AI coding agents reliable has over 22,000 GitHub stars

Learn Harness Engineering teaches the setup around the model: instructions, tools, environment, memory and checks that keep an agent like Claude Code or Codex on track. It has 14 lectures and 8 hands-on projects, in 15 languages, under the MIT license.

Highlights from the latest updates:
1. Build a loop where one agent does the work and another checks it, instead of prompting by hand.
2. Grow the loop into a graph with parallel steps, a rollback path and a human approval step.
3. Breakdowns of how Claude Code, Codex, DeepSeek and Pi build their own harnesses.
4. A ready skill that sets up AGENTS.md, feature lists and verification steps for your project.

It builds on OpenAI's and Anthropic's engineering posts on harness design. The course is on GitHub.

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