Local-first Tool strukturiert Projekte fuer KI-Coding-Agenten und prueft deren Code
Vage Prompts fuehren in Cursor oder Claude Code oft zu funktionsfaehigem, aber unstrukturiertem Code. Ein neues lokal laufendes Tool plant Projekte vorab und bewertet anschliessend die Qualitaet des generierten Codes.

AI coding agents are good. My prompts were the problem.
I kept starting sessions in Cursor and Claude Code with a vague idea, and ended up with code that worked but had no clear structure. Then I had a second problem: once the code existed, I had no quick way to tell how healthy it really was.
So I built Blueprint Studio, a free, MIT-licensed tool that handles both sides: plan before the agent builds, and check after.
You write a short brief, then answer a guided interview. Blueprint Studio turns that into:
The idea is that the agent starts from a real spec instead of a one-line prompt.
Point it at a local repo and it gives you:
It works on code you wrote, code an agent wrote, or a repo you just cloned.
Specs and scans stay on your machine, and there's no hosted backend for your projects. AI steps are optional. When you use them, requests go only to the provider you configure with your own key (OpenAI, Anthropic, Gemini, Ollama, OpenRouter, and others), and Blueprint Studio doesn't proxy them.
The README spells out exactly what gets sent: only the files you select for AI review, plus related static-finding notes and light project context. For the planning flow, only the brief and interview answers you type.
React and Vite for the UI, with a Tauri 2 desktop shell in Rust for folder access, opening files in your IDE, and writing handoff files to disk. There's also a browser version, though the desktop app is better for scanning folders.
I'm also looking for contributors. Adding a framework profile (Django, Rails, SvelteKit, Laravel, and so on) is a fairly self-contained first PR. There are good first issues and a CONTRIBUTING.md to get you started.
If you try it, tell me in the comments what worked and what didn't.