Microsoft engineering manager shares his team's AI practices
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Tarik Guney, Principal Software Engineering Manager for Microsoft Teams, shared his work practices for managing his team and using AI. He says AI can extend engineers' physical and cognitive capabilities, helping identify everyday bottlenecks such as poor collaboration, cognitive limitations, and time constraints. In management, Guney uses systems thinking to focus on leading indicators such as developer productivity and process efficiency, rather than only looking at outcomes. He emphasizes that a good engineering culture requires clear communication, trust, and psychological safety, and that tool improvements must work in concert with goals and processes to continuously create value.
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- Hacker News AIHow Microsoft's Principal Software Engineering Manager Works and Uses AI
This newsletter case study profiles Tarik Guney, a Principal Software Engineering Manager on Microsoft Teams, describing his systems-thinking approach to finding bottlenecks through leading and lagging indicators and his focus on culture, goals, and tooling to multiply his team. Guney uses AI as a practical layer on existing workflows for code generation, faster information access, meeting summaries, tailored communications, context reconstruction, drafting, solution exploration, and routine task automation, while stressing that AI does not replace judgment. He advises starting small, integrating AI into existing workflows, focusing on outcomes rather than tools, and using AI where it meaningfully improves how teams work together.
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