Most AI coding tools start from code. Devassistant.AI starts from intent. You describe your product once in plain language — a mobile app, an internal tool, a blog or a SaaS — and the assistant works backwards from there: it pressure-tests the concept, sharpens fuzzy requirements, decides what belongs in a minimum viable product and then builds it. Crucially, that process lives in one continuous thread, so the context from scoping carries straight through into delivery rather than being lost between a planning chat and a code editor.
The workflow is deliberately front-loaded with rigour. Before anything is built, the assistant interrogates the brief and tightens the specification, which reduces the classic failure mode of vibe-coding a prototype that does not answer the original problem. Once the MVP is in motion, the same thread stays active for revisions, new feature requests, milestone updates and delivery communication, so you are not restarting a conversation each time something changes.
Pricing is unusually simple: you can begin by writing a brief and getting it scoped, and a flat $10 per month plan covers continued delivery support through Stripe billing once you want ongoing updates, follow-up requests and product support. That makes it most attractive to founders and small teams who want to validate an idea end to end without assembling a full toolchain or committing to a development retainer.
