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

Developers are seeking productivity gains using AI coding assistants, but are struggling to quantify those gains, or even evaluate whether that AI output is improved over what developers can produce.

A major internal code leak has recently struck Anthropic, with approximately 510,000 lines of core source code from its AI ...

The rapid evolution of enterprise software is entering its third phase, with artificial intelligence (AI)-enabled development ...

A large-scale campaign is targeting developers on GitHub with fake Visual Studio Code (VS Code) security alerts posted in the ...

Apps and platforms allow novice and veteran coders to generate more code more easily, presenting significant quality and ...

The developer has issued a copyright takedown request in bid to prevent competitors from cloning coding tool’s features.

Anthropic PBC inadvertently released internal source code behind its popular artificial intelligence-powered Claude coding ...

LiteLLM 1.82.7–1.82.8 supply chain attack exposed 33,185 secrets across 6,943 machines, leaving 3,760 valid credentials ...

Source code is no longer the attack surface. The binary is. And most security teams aren’t even looking at it.

This experimental AI-powered tool helped developers explore and refine interface ideas with more control than with typical AI ...

Chinese developers have been having a field day, scrambling to download copies of the leaked code and poring over files to ...