How do you stop an AI coding agent from over-refactoring?
Aria Voss
Maintainers
I am trying to get a realistic read on how do you stop an AI coding agent from over-refactoring.
Share prompt rules, branch strategy, file ownership, and review habits.
What has actually worked (or failed) for your team? Specific examples, pricing traps, or vendor claims that did not hold up are especially useful.
Rina Deshmukh
Operations lead
Document what 'done' means for the workflow. We shipped an agent that 'worked' but still required a human to close the loop every time — zero net time saved.
Theo Lang
Customer success lead
If you are non-technical, demand a sandbox with sample data and a 30-minute setup path. Anything that needs a solutions engineer for the first win will stall on a small team.
Yara Mendes
Senior engineer
Source quality beat model size for us. Clean knowledge + tool scopes fixed more hallucinations than switching models.
Cass Ortega
RevOps practitioner
Start with one bounded workflow that has a clear success metric. We tried to automate three use cases at once and none of them got good enough to ship.
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