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  1. Anthropic and OpenAI have different answers to how you build an agent.

  2. Models.

  3. Clean is whether a component tells the truth at its boundary.

  4. Prompt engineering has a folk version — magic phrases, ever-longer instructions, vibes — and a real one.

  5. An AI system is easy to make impressive in a demo, and hard to make reliable in production.

  6. AI does development well, but not engineering.

  7. AI writes code fast.

  8. An AI knowledge base looks like a search box.

  9. Vibe coding is for spikes.

  10. Deploy a production-ready AI agent to AWS Lambda using OpenAI Agents SDK, FastAPI, and Terraform.