Course teaches AI agent harness engineering
Learn Harness Engineering is a project-based curriculum that teaches developers how to construct execution environments, state management, verification loops, and control mechanisms for AI coding agents. The course includes 12 lectures and 6 hands-on projects, references engineering practices from OpenAI and Anthropic, is available in 15 languages, and focuses on transitioning from prompt-level adjustments to building stable, production-ready system harnesses.
While prompt engineering has hit a ceiling, the real bottleneck for production AI agents is execution-level control and infrastructure. This course addresses the shift from simple model wrappers to robust agentic architectures by treating the LLM as a raw reasoning engine and the harness as the critical software engineering layer.
- –Shift to Infrastructure: Focuses on the "Agent = Model + Harness" paradigm, treating reliability as a system design challenge.
- –Hands-on Curriculum: The inclusion of 6 practical projects ensures developers learn to build sandbox environments, rather than just theorizing.
- –Industry-Standard Patterns: Grounded in harness engineering workflows documented by major research labs like OpenAI and Anthropic.
DISCOVERED
2h ago
2026-07-07
PUBLISHED
2h ago
2026-07-07
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