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Why 7 Million Lines Broke Cursor
Ever wondered why AI coding tools struggle with huge codebases?
We pushed Cursor, Copilot, and ChatGPT to their limits — and learned that system context matters more than code context.
Knowledge graphs are the missing piece.
medium.com
Why 7 Million Lines Broke Cursor
How Knowledge Graph–Driven AI Makes Monolith to Microservices Migration Possible
The network for creativity
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JUST CREATED: An entire Kajabi website from one AI prompt.
I gave ChatGPT a single prompt, and Pro Studio generated the complete Juniper & Iron site—design, copy, images, sections, and multiple pages. I made one small correction afterward. That’s it.
This isn’t a mockup. It’s a real, exportable Kajabi website.
Watch the full build:
https://www.youtube.com/watch?v=_gflA5xX_7A
Try Pro Studio: https://tryprostudio.com
#Kajabi #AI #WebDesign
Been building full client funnels with AI lately, not just landing pages or quick prototypes.
The interesting part isn’t how fast you can generate the page.
It’s everything behind it: forms, calendars, CRM fields, follow-ups, confirmations, and making sure the whole journey actually works.
AI speeds up a lot of the execution, but it also makes testing and thinking through the full flow way more important.
Curious if anyone else here is using AI for complete client systems instead of isolated pages.
Threw a few reference images into ChatGPT, reverse-engineered the prompt, dropped it into Seedance 2.5.
This came out in one go.
No crew, no studio, no long production cycle.
Just the tools that exist right now and a clear idea of the flow.
It’s still a test, but the distance between “I have something in my head” and “I can show it properly” keeps getting shorter.
