The Infrastructure of Intelligence
Why coding agents fail: they're tourists in your ecosystem, not residents
The Fundamental Problem
Current AI coding agents are trained on descriptions of code, not the consequences of code. They read documentation like tourists read guidebooks—understanding the words but missing the lived reality. They can tell you what Stripe's API says it does, but not what actually happens when 10,000 webhooks hit your server at 3am.
From Static to Dynamic
We don't just read your docs. We build real systems, observe real failures, and learn from real production behavior. Our AI becomes native to your ecosystem through experience, not study.
Your Data, Your Moat
Every interaction generates proprietary knowledge: traces, evaluations, edge cases, performance patterns. You own this intelligence infrastructure. It's your competitive advantage, not ours.
Compounding Returns
Each developer using our AI improves it for the next. Failed attempts become training data. Success patterns become best practices. Your ecosystem evolves from collective intelligence.
“Imagine if every bug fixed, every integration built, every optimization discovered made your entire ecosystem smarter. That's not AI assistance—that's evolutionary pressure applied to code.”