Ethan Mollick: AI coding tools help, but product bottlenecks lie elsewhere
emollick · x · 2026-10-22
Responding to Rohit Krishnan's question about which ordinary software has improved most from developers using AI extensively (excluding Claude Code), Ethan Mollick notes the answer isn't obvious — not because AI coding tools don't deliver massive improvements, but because, as research keeps showing, the bottlenecks to product improvement are often elsewhere.
More from AGI Musings
- Digital collage revives Mark Weiser's 1991 ubiquitous computing classic — GrantCuster · 2026-10-22
- Kelsey Tuoc: Living Under Annihilation's Shadow Harms People, Even If They're Right — EigenGender · 2026-10-22
- Researcher Warns AI Cyberattacks on Grid Possible Within a Year, Shares Prep List — cephaloform · 2026-10-22
- NYU professor: writing solo is more prone to the curse of knowledge than AI writing — ipeirotis · 2026-10-22
- Panel with Anthropic and H&F discusses AI deployment and the future of knowledge work — mathemagic1an · 2026-10-22
- Peter Yang asks Musk why game studios are shutting down while AI makes development easier — petergyang · 2026-10-22