Most AI app builders spin up a slick frontend in seconds, then leave you stranded the moment the app needs a real database, a login, or a scheduled job. This tool's wager is the opposite: the backend is the part codegen actually struggles with, so it generates apps directly against Convex's reactive APIs — where data, auth, file storage, and background workflows are first-class primitives rather than bolt-on integrations.
What Sets It Apart
- Forked from StackBlitz's bolt.diy, but rearchitected around a single idea: the model writes code against Convex, whose query/mutation model maps cleanly onto what an LLM can reliably emit. The team frames the "magic" as simply using Convex's APIs.
- Generated apps ship with working backend features out of the box — a typed database, zero-config auth, file uploads, real-time UI sync, and background workflows — so you get a full-stack app, not just static screens that still need wiring.
- Provider-agnostic agent loop: the same system prompt and tool definitions drive Claude, GPT, Gemini, or Grok, so you bring your own key rather than being locked to one model vendor.
Who It's For
Great fit if you're prototyping a full-stack idea and want the data layer to just work, or you already build on Convex and want codegen that speaks its dialect. Look elsewhere if you need a backend-agnostic generator, prefer a polished hosted product over a self-run open-source app, or are heading to production — the built-in auth is meant for prototyping and must be replaced with your own before launch.
