Udemy - Harness Engineering Masterclass - AI Coding Agents torrent

Harness Engineering Masterclass: AI Coding Agents
https://WebToolTip.com
Published 7/2026

Created by Data Science Academy, School of AI

MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch

Level: All Levels | Genre: eLearning | Language: English | Duration: 37 Lectures ( 9h 25m ) | Size: 3 GB
Learn Claude Code, Codex CLI, Gemini CLI, MCP, Context Engineering, Multi-Agent AI & Production Harnesses
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.