MVPurr turns a clear product brief into a traceable build workflow—from scope and code to verification and preview. Built for founders who want to ship software without surrendering control.
GitHub sign-in · no credit card · early product access
waiting for approved build plan
MVPurr stack
The product
General coding agents are powerful, but a product still needs scope, state, security boundaries, verification, and a shipping decision. MVPurr supplies that operating system around the agent.
Create a private factory workspace and retain the product context that every later build should follow.
Convert approved plans into bounded code-generation runs with evidence a founder can inspect.
How it works
Each phase produces an artifact, a status, and a decision. That makes the build understandable before it becomes expensive.
Describe the user, the problem, and the smallest outcome worth shipping. The factory keeps the source brief attached to the project.
Turn the brief into explicit scope, acceptance checks, and an implementation path before code generation begins.
Run OpenCode inside a short-lived environment with bounded credentials, a known stack, and a complete event trail.
Surface tests, build artifacts, changed files, and a deployable preview for a human shipping decision.
System design
MVPurr separates the product experience from code execution. The control plane stays fast and economical; the build plane can use stricter network, identity, time, and cost boundaries for every run.
See the delivery roadmap →Next.js interface, GitHub identity, Convex state, Cloudflare delivery.
Short-lived OpenCode runners, scoped credentials, logs, and build artifacts.
GitHub changes, automated checks, preview URL, and human promotion.
Factory principles
The goal is not maximum autonomy. It is reliable progress with the right amount of autonomy at each stage.
One supported golden path reduces decisions, makes builds repeatable, and gives the agent fewer ways to get lost.
Plans, status changes, logs, artifacts, and previews belong to the run—not to an opaque chat transcript.
Automation can plan, build, and verify. Repository writes and production promotion remain explicit decisions.
Straight answers
Not end to end yet. The production control plane is live: you can sign in, create a factory project, save its brief, and queue a run. The isolated OpenCode execution layer and automated previews are under active development.
A narrow stack makes generated systems easier to test, secure, operate, and improve. The first golden path is Next.js, Tailwind, Convex, GitHub, and Cloudflare delivery.
The public site and control plane stay lightweight. We are designing the compute-heavy build plane around isolated, short-lived AWS workloads so each AI coding run has clear resource and security boundaries.
Solo founders and small product teams who can describe a focused product outcome and want a disciplined path from brief to working software—not an endless blank coding canvas.
Early access