Django still wins for AI-first products
In 2026, Django is the unfashionable choice that keeps winning. Here is why we pick it for most AI products.
It’s 2026. Every YC batch is built on a different new framework. We still pick Django for most AI products. Here’s why.
The AI layer is the new thing
The actual interesting risk in modern AI products is the AI layer: the prompts, the retrieval, the evals. Everything around it (auth, admin, models, migrations, background tasks, file storage, API) is solved-for-a-decade. Django is the shortest path to having that part work and being able to ignore it.
The admin is a superpower for AI
AI products need to be tweaked constantly: prompts changed, examples added to evals, edge cases reviewed. Django’s admin, with 30 minutes of customization, gives you a tool your team can use to do all that without a developer.
What we pair it with
- HTMX + Alpine for the fast-feeling UX without a separate JS team.
- Celery or Temporal for the LLM work.
- Postgres + pgvector for retrieval.
- OpenAI / Anthropic / vLLM wherever it fits.
The stack is boring. The product is interesting. That’s the right ratio.