Built a cursor clone with better context & debugging

I've run into these problems when building with AI:

AI loses context - need a bunch of project rules, cursor rules, system prompts but the AI still doesn't follow them sometimes.
AI can't fix bugs - telling it "that didn't work" 100 times doesn't work
stuck at 60% - hard to make progress once project gets more complex, it add one feature but breaks 3 other.

So i've decided to build a cursor clone (which is really a vs code clone) that has

better context management - AI maintains context of project scope, feature requirements, task breakdown, and testing.
visual debugging - AI traces code execution and isolates issues much better (equivalent of putting console logs everywhere, but you can see where the bug is)
native integration with supabase - a lot of the issues I run into are database related, so this should help.

It's working very well with sonnet 3.7 & deep-seek, but it could just be my own test cases. I'm looking to have a few people test this. Also, should I open source this??

If you are interested, leave a comment :)

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