AI Harness Engineering
Tell your AI teacher what agent you want to build, and build it together, lesson by lesson: the loop, tools, MCP, context, prompts, memory, helper agents, safety, testing, skills, hooks, self-checking, streaming and production. You do not write code. Your teacher writes it, and explains every part.
- Agent loop
- Tools & MCP
- Context & memory
- Safety
- Skills & hooks
- Streaming
What you will learn
- Introduction
- What Is a Harness?
- The Agent Loop
- Tool Design
- MCP and Integrations
- Context Engineering
- Prompt Engineering for Agents
- Memory and State
- Planning, Orchestration, and Multi-Agent Systems
- Safety, Permissions, and Sandboxing
- Evaluation, Observability, and Debugging
- Skills: Teaching Your Agent New Know-How
- Skills in Practice: Writing, Testing, and Trusting
- Hooks: Rules That Always Run
- Self-Checking: Look Before You Hand Over
- Streaming: Show Progress While It Works
- Production, Deployment, and the Future