Best for
- Teams whose pipeline is slow, flaky or a mystery
- Setting up CI properly on a new project
- Cutting a 40-minute pipeline down without cutting safety
What you give it
- Your repository and current pipeline configuration, if one exists
- What must be true before a merge or a release in your world
What you get back
- A pipeline where every stage has a purpose and a runtime budget
- Failures that say what broke and where, instead of a wall of logs
- Caching, parallelism and ordering tuned so feedback arrives in minutes
How it works
- Reads the current pipeline and times every stage before changing anything.
- Orders checks by speed and value: the cheapest checks that catch the most fail first.
- Adds caching and parallelism where they are safe, with correctness notes.
- Makes failures legible: named stages, surfaced errors, artefacts kept for debugging.
- Documents the pipeline so the next person understands why each stage exists.
Example
You: Our pipeline takes 35 minutes and fails randomly twice a week. People merge around it.
Result: Diagnosis: no dependency caching, tests serialised, two flaky suites. Rebuilt: lint and unit tests parallel in 4 minutes, integration behind them, the flaky suites root-caused — one fixed, one quarantined with an owner. 35 minutes to 11, and merges wait for green again.
Limits — please read
- It works within your CI platform; switching platforms is a proposal, not a default.
- Flaky tests are root-caused or quarantined visibly — hiding them with retries is refused.
- Secrets and deployment credentials stay in your platform's secret store; it never inlines them.