A conceptual model for the evolution of AI agents, moving from reactive tools to proactive partners. It frames the AI not as a static utility but as a colleague that gains context, trust, and autonomy over time.

"We think of Codex as just the beginning of a software engineering teammate. It's a bit like this really smart intern that refuses to read Slack, doesn't check Datadog unless you ask it to."

A framework for building effective AI agents by synchronizing innovation across three distinct layers: the model intelligence, the API interface, and the product harness. Success requires tight integration rather than treating the model as a black box.

"It turns out lets you just do a lot more and try many more experiments as to how these things will work together... shipping this compaction feature... actually meant working across all three things."

A new software development lifecycle where code is generated rapidly from informal signals ('vibes', chat messages, social media) rather than formal specs. It prioritizes speed and iteration, using agents to prototype and refine code.

"Designers... vibe coded a prototype... if we like it, they'll vibe engineer that prototype into an actual PR."