After 42 real builds in the Lab, the boundary of what AI can ship reliably is clearer than the hype suggests. Here’s where it’s genuinely good, and where it still needs a human.
Reliable today
CRUD apps, auth, dashboards, integrations with well-documented APIs, and the deploy path itself. These come out the other end working more often than not.
Still hard
Anything with fuzzy state, real-time correctness, or a domain the model hasn’t seen much of. We show the failure shapes so you can spot them early.