Look to these tools to improve your AI coding practices and the quality, security, and reliability of your AI-generated code.

New root cause analysis technology gives AI coding agents the ability to diagnose application failures and deliver actionable debugging insights with less developer involvement.

Learn how to evaluate AI code quality platforms using enterprise criteria including scalability, predictive insights, and business impact.

Lazarus Group concealed a four-module remote access toolkit inside six fake npm Rollup polyfill packages that fired at import ...

Software is now a critical asset inside companies, banks and public institutions, yet many still treat it as a cost centre rather than a measurable asset with financial value, operational risk and ...

LLVM powers the core development tools, operating systems, and most applications at Apple Computer, where it long ago ...

Artificial intelligence is no longer simply helping cybercriminals work faster—it is increasingly becoming an active ...

Modern software applications contain valuable business logic, proprietary algorithms, and sensitive intellectual property ...

AI language models can be secretly trained to steal credentials when triggered by a specific phrase. Here's what the research shows, why safety training can't stop it, and where the $414M AI security ...

Military software company Palantir was supposed to be the stock for the current geopolitical moment, but its poor performance ...

Software developer and Hunter.io co-founder Antoine Finkelstein recently put an increasingly capable class of AI tools to an unusual test, asking Claude Code to analyze his shoulder MRI and weigh its ...