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Huazhong University of Science and Technology
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Acoda can induce LLMs to misinterpret code analysis with a 70% success rate, transforming code security in the age of AI.
Agentic AI coding assistants are alarmingly susceptible to prompt injection attacks via external artifacts, effectively turning them into remote shells for attackers.
AI coding assistants are racking up technical debt in real-world projects, with nearly a quarter of the code quality issues they introduce sticking around long-term.
