u/gastao_s_s

The Paradox: Developers self-report 20%+ productivity gains with AI. Controlled studies show they're actually 19% slower on average.

Why: Human review and validation consume the time AI saves. This bottleneck scales as AI code volume grows.

Real Numbers: Average time savings from AI tools: 3 hours 45 minutes per week, but real productivity boost is only 5–15%—not the 50–100% vendor claims.

The Fix: Stop optimizing for "code output." Optimize for "code review bandwidth," async pair-programming, and measurement discipline.

Benchmark Trap: SWE-bench shows Claude Opus 4.5 at 76.8% and top models clustering near 80%, but these measure algorithmic precision, not production readiness.