Engineering deep-dives, AI development patterns, cloud architecture, and lessons learned building production systems.
A series on harness engineering — the discipline of making AI-assisted development trustworthy at scale.
The harness is everything around an AI coding agent except the model — the guides and sensors that make AI-generated code trustworthy enough to ship without reviewing every line.
Guides shape the agent before it writes code; sensors catch what slips through after. A practical guide to building both — conventions, scaffolding, linters, tests, and AI review.
When agents generate code in minutes, end-of-cycle review becomes a bottleneck. Distribute checks across the lifecycle so the slow human check happens last and least.
If everyone has the same models, the model isn't the advantage — the harness is. Why the accumulated, contextual system around the AI is the durable moat in software.