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LLM agents are not just chatbots: they can find hundreds of real-world software vulnerabilities that traditional tools miss.
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.
Security patch detectors trained on standard vulnerability databases are practically useless in the real world, losing up to 90% F1-score when deployed on in-the-wild data.
