I built a local-first tool that plans projects for AI coding agents, then checks the code they write

Description and use

Blueprint Studio lets developers plan AI‑generated projects with a clear architecture and assess code quality locally, improving structure and reducing noise in reports.

Problem

AI coding agents produce code with unclear structure and lack a quick way to assess code health.

Outcome

Blueprint Studio enables developers to plan AI‑generated projects with a clear architecture and to assess code health locally, improving structure and reducing noise in quality reports.

Workflow

• Write a short brief and answer a guided interview in Blueprint Studio.
• Generate an architecture map and editable handoff package for the chosen IDE.
• Point Blueprint Studio at a local repo to receive a code quality report, dependency and supply‑chain checks, framework‑specific findings, and editor click‑throughs.
• Optionally run AI review on selected files.
• Iterate on the brief or code based on the report.
• Deploy or continue development with a clear structure and verified health.

Evidence

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.

Source

Blueprint Studio turns that into: An architecture map with a recommended stack; An editable handoff package you can drop into Cursor, VS Code, Claude Code, Codex, or JetBrains

Source

Point it at a local repo and it gives you: A code quality report with a health score; Dependency and supply-chain checks, including known CVEs; Framework-specific findings for Next.js, Remix, Expo / React Native, and Node.js (Express, Fastify, Koa, Hono, Nest)

Source

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.

Source