ContextSniper: AntTrail's Token-Efficient Code Memory for Repository-Level Program Repair

Researchers have introduced ContextSniper, a tool designed to improve the efficiency of AI-driven code repair by filtering out irrelevant data from large software repositories. By reducing the volume of unnecessary logs and code files sent to language models, the system allows agents to resolve bugs using fewer computational resources.