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
Download Links
Password: cms.ddpanda.org
