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Queen’s University, Shanghai AI Laboratory
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Turns out, almost all AI agent tool descriptions are "smelly," and while fixing them improves performance, it also introduces a tricky efficiency trade-off that can be solved by carefully choosing which components to include.
Discover how AI coding agents are *actually* being used in real-world software projects with a new dataset of nearly one million agent-authored pull requests.