QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...

He's not alone. AI coding assistants have compressed development timelines from months to days. But while development velocity has exploded, security testing is often stuck in an older paradigm. This ...

Quality engineering is the practice of embedding quality into every stage of delivery—not simply testing after the code is ...

Markets have this month shown elevated sensitivity to new AI debuts that threaten established businesses, hitting everything ...

This integration addresses the fundamental barriers that have historically limited formal verification adoption: complexity ...

OpenAI’s latest coding-focused AI model is being positioned as a major leap forward for software development teams—promising faster prototyping, cleaner ...

Security teams often spend days manually turning long incident reports and threat writeups into actionable detections by extracting TTPs. This blog post shows an AI-assisted workflow that does the ...

ByteDance Ltd. and Zhipu have joined a flurry of Chinese companies releasing major AI model upgrades, raising the stakes in ...

GREELEY — A northern Colorado concrete startup that used to be a curiosity on job sites just landed something closer to the ...

OpenAI has launched a new Codex desktop app for macOS that lets developers run multiple AI coding agents in parallel, shifting software development from writing code to managing autonomous tasks and ...

Anthropic’s Claude Opus 4.6 arrives in Microsoft Foundry and GitHub Copilot, bringing advanced reasoning, agentic coding, and ...