Co-author Jon Kern says AI coding tools amplify strengths and expose weaknesses Interview Twenty-five years after 17 software developers gathered at a Utah ski resort to draft the the Agile Manifesto, ...

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

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

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.

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

Teams tend to need more strong reviewers, integrators and engineers who understand the business domain and system behavior ...

AI has become an incredible accelerator for software delivery teams helping move from concept to code faster than ever. New research shows that 85% of developers globally are regularly using AI for ...

But here’s the early and uncomfortable truth for enterprises: coding co-pilots rarely address the biggest bottlenecks and are not moving the needle on business outcomes as promised.

Quick Summary Looking to gain end-to-end visibility and control over your software delivery processes? Discover the 10 best application lifecycle management (ALM) tools for enterprises in 2026 that ...