Use Open Source AI Projects to Build Micro SaaS Products
Guide for choosing a repo, narrowing scope, wrapping it in a product layer, and shipping a niche MVP.
Secondary AI Coding Resources
Use Cursor Rules and MCP Setups as supporting implementation resources while you work through this tech stack or playbook.
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Related Open Source References
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Cline
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Related Cursor Rules
Related Fixes
Cursor Keeps Changing Unrelated Files — How to Fix
Reduce scope creep in AI edits with clearer boundaries, smaller prompts, and safer review steps.
Cursor Not Following Rules — How to Fix
Checklist to make sure your Cursor rules are loaded, specific, and applied to the right workspace root.
Overview
A step-by-step workflow you can follow inside Cursor to ship a real feature with minimal thrash.
Tech stack
- Next.js
- TypeScript
- Your data layer (Supabase/Postgres/etc)
Project structure
- src/app
- src/components
- src/lib
- content/workflows
Step-by-step workflow
- Define acceptance criteria
- Ask Cursor to propose a minimal plan
- Implement in small patches
- Run lint/build
- Deploy and verify
Cursor prompts
Read the relevant files and propose a minimal plan. Do not change unrelated files.
Then implement the plan with small diffs and list verification steps.
Deployment checklist
- Environment variables set
- Build passes locally
- Basic smoke test in preview
Common issues
- Missing env vars
- Mixed server/client boundaries
Related tools
- Cursor
- Claude Code
FAQ
Should I follow every step exactly?
Use the guide as a shipping checklist, but cut steps that do not match your stack or MVP scope.
When should I add tests?
Add focused tests around risky logic, data transforms, auth, billing, or anything likely to regress.
What should I do if the guide feels too broad?
Break it into one acceptance criterion at a time and ask your AI editor to implement in small reviewable diffs.