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Paste your feature request in plain English into Claude. Get scope boundaries — what is explicitly IN and OUT — acceptance criteria written as user stories, 5 edge cases you probably have not considered, and a test plan you can hand to QA. Takes 20 minutes and eliminates most mid-implementation surprises. The edge cases alone save an average of one production bug per feature.
2-4 hours of mid-implementation rework per feature
Engineering
ChatGPT
Feature request, repo constraints, relevant modules, and testing expectations.
The spec names what should not change and defines objective acceptance criteria.
A spec can still be wrong; verify it against the codebase before implementation.