How OpenAI Uses Codex to Change How We Build
summary
OpenAI reports 80% of employees use Codex weekly and uses it to gather context from Gmail, Slack, Calendar, Linear, Sentry, Figma and Notion so agents can run multi‑step tasks for hours or days. Codex stores memories and uses Chronicle and computer‑control to find sources; validation relies on compilers, test suites, custom linters (Veil), deploy previews and faster tools like oxfmt and early TypeScript 7. All PRs go through 100% of PRs run through Codex review, agents babysit CI, spin parallel dev environments and iterate on specs and goals.
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chapters (11)
- 0:00Introduction and welcome
- 1:10AI coding evolution and Codex role
- 3:37Setting up Codex for success
- 7:10Context gathering and external systems
- 11:25Validation and verification tools
- 13:50Parallel environments and UI testing
- 16:19Codex reviewing pull requests
- 19:33Deploy previews and verification
- 21:19Maintaining quality and refactoring
- 24:28Future trends for Codex
- 31:51Key takeaways and closing
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