OpenAI introduces Harness Engineering, an AI-driven methodology where Codex agents generate, test, and deploy a million-line ...

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.

CNBC put the AI threat to software companies to the test by vibe-coding a version of the tools from Monday.com. Silicon Valley insiders say the most exposed software names are the ones that "sit on ...

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 ...

Opsera today announced new advanced reasoning AI and autonomous remediation capabilities for Agentic DevOps. Opsera continues to pioneer Agentic DevOps innovation, with its market-leading integration ...

As AI tools have democratized software engineering, a new generation of users have emerged, eager to build their own apps. But just as LLMs speed up the coding process, the old problems of hosting, ...

Engineers in Silicon Valley have been raving about Anthropic’s AI coding tool, Claude Code, for months. But recently, the buzz feels as if it’s reached a fever pitch. Earlier this week, I sat down ...