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Current AI coding agents struggle with large-scale refactoring tasks, achieving only a 41.2% success rate on a newly curated benchmark designed to challenge their capabilities.
KeaRepair not only achieves an 83.64% repair rate on C/C++ vulnerabilities but also tackles unique cases that existing methods fail to address.
Code generation can be both private and high-utility, with PrivCode++ achieving superior results by safeguarding both prompts and snippets.
LLM code copilots are put to the test with SecCodeBench-V2, a new benchmark revealing their security vulnerabilities across 22 CWE categories and five programming languages.
