Real-world software engineering tasks differ from METR benchmarks in several ways: they involve code quality concerns (elegant vs. messy code), collaboration with other engineers, larger codebases, adversarial scenarios where others modify code you're working on, and require verification overhead because humans must review AI work without context, leading to productivity gaps not captured by benchmark scores.