{"id":23161,"date":"2026-04-16T09:00:00","date_gmt":"2026-04-16T16:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/insidetrack\/blog\/?p=23161"},"modified":"2026-04-15T16:50:17","modified_gmt":"2026-04-15T23:50:17","slug":"reclaiming-engineering-time-with-ai-in-azure-devops-at-microsoft","status":"publish","type":"post","link":"https:\/\/www.microsoft.com\/insidetrack\/blog\/reclaiming-engineering-time-with-ai-in-azure-devops-at-microsoft\/","title":{"rendered":"Reclaiming engineering time with AI in Azure DevOps at Microsoft"},"content":{"rendered":"\n
At Microsoft Digital, the company\u2019s IT organization, we\u2019re reimagining how engineers, product managers, and program managers work.<\/p>\n\n\n\n
Microsoft Azure DevOps (ADO) is our company\u2019s end-to-end software development lifecycle (SDLC) solution for planning, coding, testing, and delivery. It combines tools for work tracking, source control, pipelines, and artifacts so teams can manage the entire SDLC in one environment.<\/p>\n\n\n\n
Although ADO excels at streamlining the development process, we found that users were still spending significant time performing repetitive administrative tasks, like creating and breaking down work items, writing and managing queries for reporting, and reclaiming lost permissions.<\/p>\n\n\n\n
Our Engineering Systems Platform team successfully embedded AI into ADO, resulting in ADO experiences that replace manual workflows and free up our IT professionals to concentrate on work that makes a real impact.<\/p>\n\n\n\n
The Engineering Systems Platform team supports 15,000 active users across one of the largest ADO platforms at Microsoft.<\/p>\n\n\n\n \u201cWe saw the toll these processes took on users, whether they were compiling information or performing manual tasks. Even with automation, there was still an opportunity to give time back to engineers.\u201d<\/p>\nGopal Panigrahy, principal product manager, Microsoft Digital<\/cite><\/blockquote>\n\n\n\n Three years ago, the team began exploring opportunities to automate repetitive ADO tasks like creating and updating work items, navigating project data, gathering statuses, and breaking large initiatives into sprint-ready work.<\/p>\n\n\n\n
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