Claude Code Harness Engineering: Make AI Agents Reliable

About this course

Tired of explaining the same project rules to your agent in every new session? Does it run commands you never wanted, or say "done" while lint errors and failing tests are still there? Do broken commits slip into your repository because nothing checked them before the push? Do your prompts still give vague answers that you have to rewrite? You're in the right place.

In Harness Engineering: Modern AI Software Development Bootcamp, you will stop waiting for a better model and build a better setup around the one you have. You will learn how the harness turns a model into an agent, and set up its main parts in Claude Code: project context, rules, permissions, hooks, skills, and Git hooks. You will also learn to write clear prompts that get useful answers on the first try. The course is hands-on: you first make a change without a harness, then make the same change with it, so you see the difference yourself.

What's in this course?

Getting Started with Harness Engineering: Find out why a stronger model alone does not fix an unreliable agent, and how the harness around Claude Code makes it reliable. You make one change without a harness first, so you see exactly what goes wrong.

Control the Context Claude Works With: No more repeating project rules in every session or fixing code written for old library versions. You set up CLAUDE .md, Auto Memory, project state at session start, and Context7 MCP.Decide What the Agent Is Allowed to Do: Stop approving every command by hand without giving the agent free rein. You configure Permission Rules and modes, and block dangerous commands with a PreTool

Use Hook.

Catch Mistakes on Every Turn: Stop finding lint errors and broken code after the agent says "done".

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