It appears that while DEVEN gets really good scores on SWE bench (14%}, its misleading. They don't test on SWE bench, they test on a small subset of SWE bench which contains only Pull requests.

@firstuserhere SWE-Bench is only pull requests:

SWE-bench is a dataset that tests systems' ability to solve GitHub issues automatically. The dataset collects 2,294 Issue-Pull Request pairs from 12 popular Python repositories. Evaluation is performed by unit test verification using post-PR behavior as the reference solution.

See swebench.com

i'll resolve yes to x = 4 and 8 after a few days of wait just to make sure its all legit

@firstuserhere hey, could you please resolve

I resolved those

From https://www.cognition-labs.com/blog

We evaluated Devin on SWE-bench, a challenging benchmark that asks agents to resolve real-world GitHub issues found in open source projects like Django and scikit-learn.

Devin correctly resolves 13.86%* of the issues end-to-end, far exceeding the previous state-of-the-art of 1.96%. Even when given the exact files to edit, the best previous models can only resolve 4.80% of issues.

We plan to publish a more detailed technical report soon—stay tuned for more details.