Reliable, self-correcting code generation
Trained autonomously on a subset of the BigCodeBench dataset (difficult single-function Python problems). Zero-shot evaluation on new data shows similar relative performance. Does not perform equally well in all use cases.
Why keep wasting time manually iterating, checking, and fixing AI coding agents' mistakes? Our AI can do that by itself.
Stop chasing errors. Start chasing improvements
Test-Driven
Instead of hoping for the right answer, our agent system makes your problem testable. Then, it self-corrects until fully solving your issue. Autonomously and more reliably.
Multi-Agent
Why have only one agent working on improvements? We bring together many different models and methods for increased performance. It's like an entire team working for you to complete your task while others overlook to improve the entire system to be better next time.
Start shipping working code
Questions? Want dedicated support? Reach out to founders@beancan.com.