This project explores how Large Language Models (LLMs) perform on real-world software engineering tasks, inspired by the SWE-Bench benchmark. Using locally hosted models like Llama 3 via Ollama, the tool evaluates code repair capabilities on Python repositories through custom test cases and a lightweight scoring framework.