CI Pipeline Design
Optimises for the feedback loop, because a pipeline slow enough to work around is one people work around.
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Running it, start to finish
- Measure current time to first signal and to full green.
- Reorder fastest-first and parallelise what shares no state.
- Quarantine flaky tests with a fix-or-delete date.
What you get back
The output this produces, every time.
- Optimises for time-to-signal, since a slow pipeline is one people learn to work around.
- Orders checks by speed and failure likelihood, so a missing semicolon fails in seconds not minutes.
- Tests the design against defects that actually escaped, which usually points at integration gaps.
Getting better results
Where this usually goes wrong, and how to avoid it.
- Quarantine flaky tests with a deadline. Flakiness teaches people to re-run rather than investigate, after which real failures get re-run too.
- Watch the cache key. An over-eager key serves a stale build and produces a green run for code that does not compile, which is worse than no cache.
- Be sparing with blocking checks. Every blocking check that is occasionally wrong is an argument for bypassing the system entirely.
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Written for The AI University. Every prompt in this library is original work — authored, tested and revised here, not collected from elsewhere. 365 of them, free with an account.