This was first published on the Vibsync blog. Reposting for the DEV community.
The short version: AI reliably makes each developer faster. Whether it makes the team faster is a separate question — and the gap between the two is where a lot of quiet cost hides. Below: the five coordination costs that eat the difference, a ten-question diagnostic, and five operating principles.
Picture three developers, three AI coding agents, and one repository. Each developer can now produce candidate code, tests, and refactors faster than before. Yet releases move at the same pace, review queues grow, and the same facts keep getting rediscovered.
That's not a paradox, and it isn't a reason to slow anyone down. It's a reminder that individual speed and team speed are different quantities, and AI coding agents scale the first far more easily than the second. Give everyone a faster typewriter and you get more pages — not necessarily a better book, written faster, by a group.
Individual output is not team throughput
