I’ve been talking with engineers who use Cursor, Claude and other AI coding tools, and a recurring problem keeps coming up:
AI can generate code surprisingly well, but struggles when the problem requires understanding an entire codebase.
Engineers mentioned:
• Long term architectural context
• Cross module dependencies
• Debugging where the root cause is far from the symptom
• Understanding existing design decisions
• Edge cases and regressions
• Architecture and scalability tradeoffs
So we built Meeba AI Brain around a different workflow.
Instead of uploading files or pasting snippets, you can connect an actual repository and let the system reason over the codebase.
Now available with:
Repository connectivity
MCP integration
Cursor plugin
Architecture reasoning
Evidence based debugging
We’re currently looking for engineers with large or actively maintained repositories to stress test it.
Try it: Sign In · Meeba Brain
Cursor plugin: https://cursor.directory/plugins/meeba-brain
I’d especially like feedback from experienced Cursor users: What is the hardest engineering problem you still can’t reliably solve with AI coding tools today?