Coderblock AI
An AI fullstack developer on your team
An AI fullstack developer is an agent that implements every layer of an application: the interface, the server logic, the database schema and the authentication that ties them together. On Coderblock, one request like let users save favorites produces the React UI, the API or edge function, the Postgres table with its security rules, and the wiring between them, delivered as a single coherent feature.
What does full stack mean in a generated app?
Consumer web apps get a React frontend plus a dedicated Supabase project: Postgres with row-level security, built-in auth and file storage. Enterprise platforms get a FastAPI backend with Postgres instead. Either way, the agent designs all layers to fit together, which is exactly the coordination a human fullstack developer provides.
How does it keep frontend and backend consistent?
Because one agent owns the whole change. When a feature needs a new table, the same plan updates the API and the components that consume it, so types, field names and permissions stay aligned. There is no handoff between separate frontend and backend teams where mismatches usually creep in.
What about the hard parts, like auth and security?
They are generated, not bolted on. Sign-up, login and session handling use Supabase Auth, and data access is protected with row-level security policies written per table, so users only ever see their own rows. You describe the roles and rules in plain language; the agent implements them in the database itself.
| Frontend | React + TypeScript components and pages |
|---|---|
| Backend logic | Edge functions, or FastAPI for enterprise projects |
| Database | Postgres schema with migrations |
| Security | Row-level security policies and Supabase Auth |
| Storage and AI | File storage plus AI Gateway for in-app AI features |
| Delivery | Live preview, then one-click production deploy |
FAQ
- What is an AI fullstack developer?
- It is an AI agent that implements complete features across every application layer: interface, server logic, database and authentication, keeping them consistent because a single agent plans the whole change.
- Do I have to specify the database schema myself?
- No. You describe the feature in product terms and the agent designs the tables, relations and security policies. You can always inspect the schema and ask for changes in the same chat.
- Can it add features to an app it built weeks ago?
- Yes. The agent reads the current codebase before every change and keeps project memory, so new features build on what exists instead of conflicting with it.
- Which stack does the generated backend use?
- Consumer apps use a dedicated Supabase project: Postgres, row-level security, auth, storage and edge functions. Enterprise B2B platforms are generated on FastAPI with Postgres.