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Citing issues with logic, correctness, and security, a new report recommends specific guardrails for AI-generated code.

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Discover the leading code analysis tools for DevOps teams in 2025. Enhance your software development process with automated security and quality checks to mitigate risks and improve code health.

A new Shai-Hulud npm strain and a fake Jackson Maven package show how attackers abuse trusted dependencies to steal secrets ...

CodeRabbit analyzed 470 GitHub pull requests and found AI-generated code introduces more defects than human-written code ...

The CodeRabbit report found that AI-generated code falls short of meatbag-made code across the major issue categories. The bots created more logic and correctness errors (1.75x), more code quality and ...