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

Compliance is one of the most persistent bottlenecks in regulated software development, often requiring weeks or months of manual documentation after products are built. In this episode of DEMO, Keith ...

– DevOps engineers and enterprise teams can now interact with Jenkins build systems through AI interfaces, reducing manual monitoring and troubleshooting tasks – The solution uses Model Context ...

Just a few years ago, the cloud was touted as the “magic pill” for any cyber threat or performance issue. Many were lured by the “always-on” dream, trading granular control for the convenience of ...

For over 5 years, Arthur has been professionally covering video games, writing guides and walkthroughs. His passion for video games began at age 10 in 2010 when he first played Gothic, an immersive ...

Calsoft develops innovation utilizing Jenkins MCP (Model Context Protocol) server for AI-assisted DevOps automation SAN JOSE, CA, UNITED STATES, January 9, 2026 ...

The Azure DevOps Wiki MCP Server enables AI applications to interact with Azure DevOps wikis through the Model Context Protocol. It provides comprehensive wiki operations including content search, ...

Azure DevOps Server is now generally available, marking its transition to a production-ready on-premises offering for teams that need to self-host their DevOps platform. The GA release packages ...

Abstract: Scaling Machine Learning (ML) workflows in cloud environments presents critical challenges in ensuring reproducibility, low-latency inference, infrastructure reliability, and regulatory ...