Problem
Before “vibe coding” was a term, AI-assisted building was awkward: chats lost context, project setup ate momentum, and each experiment started with the same boilerplate instead of the product question.
Prototype.
A product-building method before “vibe coding” had a name.
Top 5254105Habr 98K views
The product.
A Dockerized Django/OpenAI starter – but more importantly a working method for turning rough ideas into shipped experiments fast. Paired with snap2txt for turning a codebase into LLM context: compress context, prompt the shape, accept rough edges and ship the thing.
The call
Turn the workflow itself into a reusable artifact. Keep the repo small, Dockerized, OpenAI-ready, and built to pair with snap2txt/Cursor so a builder could move from idea to running app while the idea was still hot.
Outcome
Launched open-source on Product Hunt and ranked #5 of the day – backed by articles and a build process video. The launch drew organic interest beyond Product Hunt, validating demand for a practical, repeatable approach to AI-assisted product building.
Writing & launch
Prototype, vibe coding, and the product arc
Built with
Django · Docker · OpenAI
YOUR PROJECT
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