Generate a Flask + HTMX app with AI
IDEA generates a full-stack application on Flask and HTMX, server-rendered with SQLite from a written brief: the API, data models, authentication and frontend, file by file. This stack is a pilot: it is registered in the generation pipeline with reduced verification, and it is not yet offered in the stack picker. The picker currently offers Next.js with Express and React with Django.
- Frontend
- HTMX, server-rendered
- Backend
- Flask
- Database
- SQLite
- Status
- Pilot, not yet in the stack picker
What gets generated
- A Flask backend with routes for each module in your brief.
- Data models for SQLite.
- Sign-up and login.
- A HTMX, server-rendered frontend wired to the API.
It suits small server-rendered apps and prototypes with no separate frontend build.
How this stack is checked
Generated code for this stack is checked with a Python syntax check in a separate sandbox. Structural validators confirm the required files and routes exist, and a bounded repair pass fixes what the checks report.
Verification here is reduced compared with the Next.js and Express stack, so expect to review and test more of the output yourself. We publish that gap instead of letting you find it at deploy time.
Preview and deployment
- Preview: No live preview yet.
- The backend runs with gunicorn.
- Deploy or export: Railway, Render, GitHub or a ZIP download.
Questions, answered
Can AI generate a Flask app?
Yes. IDEA generates a Flask backend with SQLite models, authentication and a HTMX, server-rendered frontend from a written brief. This stack is a pilot: it is registered in the generation pipeline with reduced verification, and it is not yet offered in the stack picker. The picker currently offers Next.js with Express and React with Django.
Where can I deploy the generated Flask app?
You can use Railway, Render, GitHub or a ZIP download. The backend runs with gunicorn.
Is the generated code mine?
Yes. As between you and IDEA, you own the output generated for your projects, subject to the terms of the underlying AI provider and the licences of the open-source packages the project uses.
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