Insights on product thinking and engineering excellence • 13 articles published
A new framework argues that coding agents need external "harnesses" — feedforward guides and feedback sensors — to produce reliable code. We agree. We also built one. Here's how theory maps to a production system, concept by concept.
DORA metrics tell you delivery is slow. Code coverage says tests are fine. But neither tells you why features take 3x longer than they should. Detection connects the dots — correlating process symptoms to code causes — so you fix what actually matters.
Most test suites look healthy — high coverage, all green. But run mutation testing and you'll discover that 80-90% of tests would still pass even if you deleted the code they claim to test. Here's what decorative tests are, why they're dangerous, and how to fix them.
AI coding agents don't create quality — they amplify whatever's already there. The 2025 DORA Report confirms it: AI adoption correlates with higher instability. Here's why your codebase determines whether AI accelerates delivery or accelerates chaos.