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Engineering operating model for teams where AI agents generate a large share of implementation output.
Passed 19 of 22 test cases with the skill, and 12 of 22 without it.
and 5 more in the full report
7 fixed12 passed either way3 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 7 test cases the skill fixed. Same model, same prompt, with and without the skill.
When reviewing a large AI-generated PR that modifies key payment pathways, should the reviewer focus mainly on code brevity and syntax elegance?
| Checked | Without skill | With skill |
|---|---|---|
| Prioritizes inspecting rollout safety over style issues. | Missed | Passed |
| Requires validating behavior regressions across payment flows. | Missed | Passed |
The instructions your model reads when the skill loads.
Use this skill when designing process, reviews, and architecture for teams shipping with AI-assisted code generation.
Prefer architectures that are agent-friendly:
Avoid implicit behavior spread across hidden conventions.
Review for:
Minimize time spent on style issues already covered by automation.
Strong AI-first engineers:
test cases passed, vs 12 / 22 without
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