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AI Summary
- Brian Fioca and Bill Chen from OpenAI's Codex and GPT-5 teams explain training agents to work 24+ hours, manage own context, and spawn sub-agents for parallel codebase work
- Personality, communication, and planning matter as much as raw capability; Codex trained with strong opinions about tools (prefers rg over grep) and includes unexpected learned habits
- Abstraction layer moving from models to full-stack agents pluggable into VS Code or Zed; partners co-develop tool integrations discovering unexpected model behaviors