Harness Engineering Masterclass: AI Coding Agents

Source: https://www.udemy.com/course/harness-engineering-masterclass-ai-coding-agents/

What you’ll learn

Build and manage AI coding agents using Claude Code, OpenAI Codex CLI, Gemini CLI, and other modern AI development tools.
Master Harness Engineering principles, including agent architecture, execution environments, context management, and production workflows.
Apply Context Engineering and Prompt Engineering techniques to improve the accuracy, reliability, and efficiency of AI coding agents.
Understand the complete agentic execution loop, including planning, tool calling, execution, verification, reflection, and retry strategies.
Configure and optimize AI coding environments using project rules, memory, permissions, hooks, skills, and reusable workflows.
Build integrations with the Model Context Protocol (MCP) to connect AI agents with external tools, databases, browsers, Git repositories, and enterprise service
Design and orchestrate multi-agent systems where specialized AI agents collaborate on planning, development, testing, documentation, and security tasks.
Implement secure AI development workflows using permissions, sandboxing, approval systems, and operational guardrails.
Build production-ready AI harnesses with logging, observability, tracing, debugging, metrics, and automation best practices.

Requirements

No prior experience with Harness Engineering or AI coding agents is required. Everything is explained step by step.
A basic understanding of software development or programming concepts is helpful but not mandatory.
A computer running Windows, macOS, or Linux with internet access.
Willingness to install and experiment with AI development tools such as Claude Code, OpenAI Codex CLI, and Gemini CLI.
A code editor or IDE, such as Visual Studio Code, is recommended for the hands-on exercises.