Code Review in the Age of Vibe Coding
summary
Alan Buscaglia examines how fast AI-assisted “vibe coding” inflates PR size and churn, forcing senior engineers to act as quality firewalls. He presents a practical review framework (Risk, Readability, Reliability, Resilience), shows patterns like “Guardrail-PR” where the AI prepares explanations and tests before human review, and describes LLM-based linters and automated reviewers as tools to pre-filter risky changes.
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chapters (15)
- 0:00Vibe coding introduction
- 4:40Massive AI adoption
- 7:09Cognitive impact and speed
- 10:00AI security risks
- 12:27Four Rs framework
- 16:38Code quality tools
- 19:25Useful tests and TDD
- 22:12Sweet spot for reviews
- 23:57Branching strategies
- 25:00Chained PRs explained
- 30:16Main PR and labeling
- 33:30Observability and rollback
- 35:17Choosing the right strategy
- 37:50Merge checklist
- 39:57Conclusion and action plan
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