Survey data shows 43% of AI-generated code fails in production, forcing developers to spend more time debugging and deepening ...

If you have ever tried to debug optimized code, you probably realized that it can be a frustrating experience. Without optimizations, your debugger is a reliable assistant, precisely following every ...

Lightrun, the leader in software reliability, today released its State of AI-Powered Engineering Report 2026, based on an independent poll of 200 SREs and DevOps leaders (Directors, VPs, and C-levels ...

Plugins for AI coding tools sound like complex infrastructure. In practice, Markdown files and an HTTP API are sufficient.

Apply modern C++ to that module. Use constexpr for configuration constants. Replace raw arrays with std::array. Wrap resource ...

GitHub feedback and user reports suggest declining effectiveness in debugging and multi-file system-level tasks.

Overview: Unlock faster builds and better performance with the top C++ compilers every developer should know in 2026.From GCC to Clang, discover tools that ...

Google is developing Project Jitro, an autonomous AI system that moves beyond prompt-based coding to independently execute ...

While current AI coding assistants are trapped in a loop of individual, disposable sessions, the true bottleneck for engineering teams isn't coding speed but the "staggering" loss of tribal knowledge.

In the AI era, security isn't about stopping the future; it's about making sure the future does not ship with unmanaged permissions.