40 Engineers, 40 Definitions of Done.
Handing Cursor or Claude Code to 40 engineers with no shared contract doesn't multiply your output. It multiplies the coordination cost.
There’s a difference between hiring people and building a team, and most orgs are relearning it now with AI.
Hiring more gives you more hands. A real team gives you a unit that already knows how to work together, with someone who owns the output. Anyone who’s tried to fix a slow project by throwing more people at it knows how that ends: every new person is one more thing to coordinate, and the coordination cost grows faster than the actual extra output.
Now watch what happens when you hand Cursor or Claude Code to 40 engineers with no shared agreement on how the AI’s output enters your codebase.
You didn’t add 40 units of productivity. You added 40 prompt styles, 40 definitions of what the AI is allowed to own, 40 opinions on what gets reviewed and what gets waved through. The work of merging all that into one coherent system grows faster than the code the tools generate. It’s the oldest team-building mistake there is, just wearing new clothes: you added bodies, not a team.
The fix isn’t more access. It’s the contract first. Run the checklist most orgs skip: is there ONE written review standard every agent-written PR has to clear, or does each reviewer wing it? Does a fresh repo come pre-loaded with your team’s rules and known gotchas (a scaffolded .claude/, a shared PR-review skill), or does every engineer rediscover them? Is review tiered by risk, so a copy tweak and a payments change don’t get the same glance? Decide all of that first, THEN roll out the tools.
Ownership clarity and the right scaffolding beat tool access every time.
If you rolled out AI coding tools in the last six months, does your org have one written agreement for how agent code gets reviewed and merged, or one per team, or one per engineer?
