Code Factories Without Quality: The AI Development Blind Spot
As Zapier, Nubank, and Goldman Sachs hand coding tasks to AI agents, 'code factories' scale generation 10x while verification lags. The article argues generated code is implicitly treated as production-ready, with QA deprioritized or reduced to shallow coverage. It cites unverified claims of a 30% rise in change-failure rate and 23.5% more incidents per PR, then argues line coverage is worthless because 100% coverage can still miss broken user flows. The fix: autonomous verification that scales like generation, tests real user journeys, runs independently of the coding agent, and self-maintains to survive flake. The second half is a QA Wolf product pitch. Useful for engineering teams adopting AI coding, though explicitly vendor-biased.