Claude Code Harness Engineering: Make AI Agents Reliable

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 PreToolUse Hook.

• Catch Mistakes on Every Turn: Stop finding lint errors and broken code after the agent says "done". While converting a React app to Next.js, you add ESLint rules and a Stop Hook so the agent fixes its own mistakes before it finishes.

• Automate Feature Work with a Project Skill: Stop writing the same long prompt and checking the result by hand for every feature. One project Skill follows your feature workflow, verifies the UI, generates an E2E Test, and reviews the code.

• Protect the Repository and Close the Loop: Keep bad commit messages and failing tests out of your repository with commit-msg and pre-push hooks. You also learn to debug the harness when it fails and create a Skill that updates it as the project grows.

This Course includes

• Theory and Practice: Short, focused lessons with clear explanations and real examples (3–10 minutes each).

• Downloadable Resources: May include PDF guides, project files, and practical examples for hands-on learning.

• Udemy Certificate: Receive a certificate of completion after finishing the course.

• Support: Get direct help from the instructor through the Q&A section whenever you have questions.

Meet your instructor!

Dmytro Vasyliev - Senior Front-end Engineer with more than 10 years of professional experience in developing complex Web Applications. I have extensive experience with React and other frameworks, having used it in various projects to build dynamic and efficient user interfaces.

Every lesson plan, example, and project in this course comes from my own years of real development work. I plan and write every lesson myself and polish it until it's right. English is not my first language, so in some lessons you will hear my AI voice clone or see my avatar clone — they keep every explanation clear and easy to follow. What matters most is what you can build after each lesson, and that is where all my effort goes.

Do you need to be concerned?

Your AI agent is not the problem. Without a harness, even the best model guesses, and with one, it follows your rules.

Join our course today to turn your AI coding agent into a reliable teammate!