Modern software teams work under constant time pressure. They maintain codebases, manage infrastructure, monitor systems, and ...

Real-world deployments show 40% test cycle efficiency improvement, 50% faster regression testing, and 36% infrastructure cost savings.

Quality engineering must evolve faster than code; otherwise, agentic AI will move quickly, learn rapidly and fail expensively.

A technical preview promises to take on the unrewarding work in DevOps, but questions remain about controls over costs and access.

Generative AI automation targets coding, debugging, documentation, and testing workflows in SDLC processes SAN JOSE, ...

Claude Opus 4.6 improves on Opus’ coding skills, and it now sustains agent tasks for longer and can run more reliably in larger codebases.

Anthropic introduces Claude Opus 4.6, an AI model that is quite capable in coding tasks. This is thanks to improved planning, a context window of 1 million tokens, and the new adaptive thinking ...

In 2026, the gap between market leaders and laggards is defined by a single metric: the ability to ship high-quality code at the speed of thought. As applications evolve into complex webs of ...

Popular vibe coding platforms consistently generate insecure code in response to common programming prompts, including creating vulnerabilities rated as ‘critical,’ new testing has found. Security ...

AI coding tools are rapidly changing how we produce software, and the industry is embracing it—perhaps at the expense of entry-level coding jobs. Generative AI’s ability to write software code has ...