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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 ...

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

This article will examine the practical pitfalls and limitations observed when engineers use modern coding agents for real enterprise work, addressing the more complex issues around integration, ...

See how Langraph powers a multi-agent stock sim with configurable rounds and models, helping you compare trade plans without ...

Discover the 10 best Infrastructure as Code (IaC) tools for DevOps teams in 2025. Learn how these tools enhance automation, stability, and scalability in cloud environments. Improve your deployment ...

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.

More from Mark Russinovich’s Ignite 2025 sessions, detailing software developments that underpin Microsoft’s move to ...

In VS Code, scrolling through a 5000-line file always felt like the editor was stretching to keep up. In Zed, it’s ...

Security researchers uncovered a range of cyber issues targeting AI systems that users and developers should be aware of — ...

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