Udemy - Harness Engineering Masterclass - AI Coding Agents

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Udemy - Harness Engineering Masterclass - AI Coding Agents (Size: 3 GB)
  Bonus Resources.txt 102.4 B
  Get Bonus Downloads Here.url 204.8 B
  ~Get Your Files Here !
  1 - Introduction to Harness Engineering
  1. Welcome to the Agent Era.mp4 116.1 MB
  10 - Tool Calling & Execution
  11 - MCP (Model Context Protocol)
  12 - Hooks, Skills & Automation
  13 - Multi-Agent Engineering
  14 - Production Harness Engineering
  2 - AI Coding Ecosystem
  3 - Harness Engineering Fundamentals
  4 - Claude Code Deep Dive
  10. Claude Code Internals.mp4 131.6 MB
  11. Hands-On Lab 3 Build a Claude Code Project.html 49.4 KB
  5 - OpenAI Codex CLI
  12. Codex CLI Architecture.mp4 112.4 MB
  13. Codex Internals.mp4 107.6 MB
  14. Hands-On Lab 4 Production Workflow with Codex CLI.html 52.3 KB
  6 - Gemini CLI
  15. Gemini CLI Overview.mp4 113.5 MB
  16. Gemini CLI Features.mp4 105.7 MB
  17. Hands-On Lab 5 Gemini CLI Development Workflow.html 18.7 KB
  7 - Shared Agent Architecture
  18. Common Agent Components.mp4 99.6 MB
  19. Agentic Loop.mp4 65.4 MB
  20. Section 7 Walkthrough Shared Agent Architecture.html 18.2 KB
  8 - Context Engineering
  21. Context Windows.mp4 113.8 MB
  22. Project Memory.mp4 107.1 MB
  23. Hands-On Lab 6 Optimize Context for Large Projects.html 10.2 KB
  9 - Prompt Engineering for Coding Agents
  24. Writing Better Prompts.mp4 109.7 MB
  25. Agent Instructions.mp4 92.8 MB
  26. Hands-On Lab 7 Engineer Better Coding Prompts.html 9.4 KB
  9. Claude Code Architecture.mp4 113.3 MB
  6. What is a Harness.mp4 85.2 MB
  7. Inside an AI Agent.mp4 102.3 MB
  8. Hands-On Lab 2 Build Your First AI Coding Harness.html 45.5 KB
  3. Modern AI Coding Tools.mp4 103.7 MB
  4. Choosing the Right Tool.mp4 116.9 MB
  5. Hands-On Lab 1 Install and Compare AI Coding Tools.html 34.2 KB
  36. Building Production Harnesses.mp4 113 MB
  37. Observability.mp4 111.2 MB
  34. Working with Multiple Agents.mp4 111.6 MB
  35. Agent Collaboration.mp4 120.9 MB
  32. Hooks.mp4 103.1 MB
  33. Skills.mp4 113.3 MB
  30. Introduction to MCP.mp4 104 MB
  31. Building with MCP.mp4 112.5 MB
  27. AI Tool Calling.mp4 113.3 MB
  28. Permissions & Sandboxing.mp4 120.4 MB
  29. Hands-On Lab 8 AI Tool Calling Workflow.html 9.9 KB
  2. Understanding AI Coding Agents.mp4 110.6 MB

Description


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.

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