Harness Engineering for AI Agents

This comprehensive guide introduces Harness Engineering, a critical discipline for building reliable AI coding agents. Explore methods for designing systematic environments, managing complex agent state, implementing rigorous verification processes, and establishing robust control systems. Elevate your agentic coding tools from experimental to production-grade with advanced industry practices.

Chapters

1. 01 Harness Engineering for Production-Grade AI Agents 8m
2. 02 Setting Up Your Agent Development Environment 13m
3. 03 Systematic Environment Design for Reproducible Agents 14m
4. 04 Agent State Management: Keeping Track of Context and Progress 17m
5. 05 Build Control Systems to Guide AI Agent Actions and Tool Use 16m
6. 06 Context Engineering: Optimizing Prompts and Tool Definitions 18m
7. 07 Implement Evals Frameworks for AI Agent Reliability 16m
8. 08 Observability for Agentic Systems: Seeing Inside the Black Box 19m
9. 09 Testing AI Agents: Adapting Software Engineering Principles 14m
10. 10 Develop Long-Term Memory for AI Agents with Knowledge Retrieval 14m
11. 11 Building a Production-Grade AI Coding Agent Harness (Project) 19m
12. 12 Deploying and Managing AI Agent Harnesses in Production 19m