AI coding hype vs. the reality of worsening software quality

Nothing works and everyone is euphoric

Piotr argues that despite ever-improving models and the agentic coding hype, everyday software keeps getting worse. He cites recent personal bugs—banking app FaceID loops, Slack stealing focus, a crashing car infotainment system—and pins the blame on KPI-driven teams that never prioritize stability. The post doesn't offer quantitative data, but the core claim is clear: until orgs dedicate time to fixing bugs over shipping features, the quality decay will continue.

Why it matters: A resonant industry rant that uses concrete bugs (bank FaceID loops, Slack focus-stealing, frozen car UI) to argue that software quality is declining even as models improve. Lacks data or mechanism analysis, so the Knowledge axis misses, keeping the score at the featured thres...