Author here. The blog argues that the real story from Anthropic's hackathon isn't that domain experts can build AI (they can) but that hackathon demos and production systems require fundamentally different things. A permit app that works on demo day and a permit system that survives when California revises the code, when the builder leaves, when a municipality asks for an audit trail — those are different problems. We're building a governance framework (CANONIC — CANONIC.org) where every AI capability is declared in a versioned contract. Curious what HN thinks about the gap between "domain expert can build" and "institution can trust what they built."

That's interesting, it reminds me of something we've realized internally at my company, AI coding is best used with strict adherence to requirements and tests (potentially generated by AI), reviewed by a human developer

Testing