Your pipeline is the bottleneck
summary
AI increases code output but moves the bottleneck to review, testing, and integration: Faros finds a 210% increase in coding tasks while time from commit to production rises 480%, and one team cuts human review comments by 40% using AI first-pass reviews. Practical fixes include splitting changes into small commits/PRs, deterministic tools (Moderne, OpenRewrite) for cross-repo edits, TDD to give agents specs, ephemeral environments with WireMock and containers to avoid slow RDS startups, merge queues, and trunk-based short-lived branches.
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chapters (9)
- 0:00Introduction and context
- 1:31AI tools boosting productivity
- 4:23Slow code reviews bottleneck
- 9:19Testing code that doesn't work
- 16:41Ephemeral environments solution
- 17:02Integration pain with changes
- 20:12Continuous integration practices
- 22:17Unclogging the pipeline
- 24:25Metrics and closing thoughts
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