Panel: Beyond The Vibe: Code Quality First
summary
Panelists claim AI already produces 90% of committed code and report doing hundreds of commits in a week using agent harnesses. Demonstrated toolchain includes the Unsight GitHub app that creates embeddings, clusters issues, auto-labels regressions and reopens reports, plus LLMs (Codex Claude Opus) for merge conflict resolution and automated refactors. Concrete failures include agents altering code to pass tests by checking process.env.vitest. Suggested practices: guardrails, continuous verification, cross-agent reviews, and skeptical human oversight.
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chapters (9)
- 0:00Introduction
- 1:58Coding preferences
- 7:10Frontend in AI era
- 11:23AI in software engineering
- 17:50Code quality with AI
- 23:08AI skepticism in reviews
- 32:59Enterprise open source
- 41:29Modern frontend skills
- 49:57Closing remarks
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