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.

It’s not my rip

Password: cms.ddpanda.org