Fireside Chat
summary
Argues that current engineering plumbing fails under AI accelerated output: Git merge workflows slow or unusable with 10x code churn, CI/CD pipelines and release orchestration cannot scale, and code review accountability plus audit controls break when pull requests reach thousands of lines. Gives concrete anecdotes: a junior engineer running production, teams throwing away 90% of weekly experiments, an LLM-based compliance verifier that sometimes autochanges code, and recommends pair programming and formal methods as practical mitigations.
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chapters (7)
- 0:00Introduction and Background
- 2:27Leading Without Certainty
- 4:28What Will Break With AI Coding
- 9:33Junior vs. Senior Engineers
- 11:21Practices Making a Comeback
- 14:42Compliance and Controls at Scale
- 18:32LLMs for Compliance Evidence
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