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

Nearly half of the code that AI assistants write for software teams breaks once it hits real users. That is the central ...

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 ...

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

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

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.

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

Multicore processing boosts performance and energy efficiency in many coding situations. Bare-metal algorithms further ...

Is a backlash brewing? Rapid innovation in AI coding and agents may force push for enterprise order and control - ...

As AI servers, data centers, automotive and industrial systems demand higher efficiency designs, deterministic real-time control and quantum-resistant cryptography, Microchip Technology Inc. (Nasdaq: ...

The open-source vector database Endee.io, that is well known for its Ultra High performance with 10x lower Infra, is ...