AI agents can make messy team code faster
can recreate the old problem where one very productive person builds code that only they understand. A person usually remembers why a choice was made, but an agent may create one fix in the morning, a different fix later, and then both without keeping the earlier steady. A generated explanation is not the same as sha understanding.
The practical fix is to make team rules visible and enforceable. , ADR, and tests can give the agent clear boundaries, so it does not invent its own style or pull rules from somewhere else.
Key points
- Fast agent output can still create code that is hard for the team to maintain.
- An agent-generated explanation does not prove the team understands the design.
- can record the rules an agent should follow inside a project.
- ADR can preserve the reason behind important technical choices.
- Tests can catch changes where the agent drifts away from team rules.