Perforce Software's 2026 State of DevOps report examined how AI tools impact engineering roles, governance, and cloud costs.

The findings conclude that organizations with mature DevOps practices* are more successful in scaling AI than those with immature practices. In short, DevOps has not failed; incomplete DevOps has.

Regulatory pressure is no longer limited to a single geography or industry. Enterprises must simultaneously address GDPR, ...

New delivery model applies AI across engineering, testing, DevOps, and analytics to improve speed, transparency, and ...

Strong quality cultures analyze this historical execution data to identify flaky tests, unstable code sections and deployment patterns that correlate with incidents. Machine learning algorithms can ...

The 2026 Worksoft release embeds AI across change intelligence adaptive automation and insights to help teams reduce ...

How Relevant Is the Chief AI Officer in the AI Era? Over the past few years, artificial intelligence has shifted from isolated experimentation to a...Read More The post How Relevant Is the Chief AI ...

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

Transition from reactive quality assurance to proactive quality engineering by embedding shared responsibility throughout the ...