Coder, a platform for AI Development Infrastructure, announced today that it has achieved the Amazon Web Services (AWS) DevOps and the Generative AI Competencies in the Agentic Tools Category. This ...

Studies find AI helps developers release more software—while logging longer hours and fixing problems after the code goes ...

Artificial intelligence-powered DevOps automation company DuploCloud Inc. today announced the launch of AI DevOps Engineers, a new service that allows companies to leverage agentic workflows to ...

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

SAN FRANCISCO, Oct. 21, 2025 /PRNewswire/ -- Opsera, the AI-powered DevOps platform trusted by Fortune 1000 companies, today announced a new partnership with Salesforce to empower development teams to ...

At DeveloperWeek, DuploCloud will outline the industry’s transition to AI-native DevOps, where domain-specialized AI agents execute end-to-end tasks with best practices embedded and humans providing ...

AlertD, a startup delivering an agentic artificial intelligence site reliability and DevOps platform, launched today to give engineers highly contextual visibility across Amazon Web Services ...

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

Gomboc AI announced today that it has been named the winner of the 2025 DevOps Dozen Award for Best New DevOps Tool in the Tools and Services category. The award recognizes standout innovation in the ...

Platform engineering enables developers to build, deploy and operate software quickly and safely by giving them a standardized, opinionated workflow. Standardization becomes achievable when you focus ...

Rubrik announced new integrations and recovery capabilities for Microsoft environments at Microsoft Ignite 2025, unveiling updates across agentic AI management, Microsoft 365 business recovery, and ...

- 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 ...