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Microsoft releases Windows Performance Analyzer with AI tracing support

Microsoft releases Windows Performance Analyzer with AI tracing support

3 Key Points

  1. What happened

    Microsoft announced an early preview of Windows Performance Analyzer MCP (Model Context Protocol), which integrates GitHub Copilot CLI into the Windows Performance Analyzer tool to help diagnose why Windows applications run slowly.

  2. Why it matters

    Normally, identifying performance bottlenecks—whether from CPU, file I/O, or network issues—requires Windows Performance Analyzer expertise and experience with Event Tracing for Windows logs. Copilot can now analyze trace data using natural language, letting developers ask questions directly rather than manually parsing complex system logs.

  3. What to watch

    The tool is in early preview; availability and release timeline for general use are not yet specified in the announcement.

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Context & Analysis

Windows developers have long faced a knowledge barrier when diagnosing application performance. The Windows Performance Analyzer tool itself is powerful but requires users to understand Event Tracing for Windows logs and have significant experience interpreting trace data. By embedding GitHub Copilot CLI directly into the analyzer, Microsoft is lowering that barrier: developers can now pose questions in plain English and let the AI do the pattern-matching and hypothesis-building across complex trace files.

This move reflects a broader trend of using large language models to simplify expert tools. Rather than forcing developers to learn specialized log analysis syntax or manually hunt through thousands of events, Copilot can read the trace, synthesize the data, and present findings in a clear report. The sample prompt Microsoft provided—asking Copilot to prioritize evidence of slowness such as CPU starvation, disk bottlenecks, and memory pressure—illustrates how the tool can guide analysis toward the most likely culprits.

FAQ
How do you use Windows Performance Analyzer MCP?
You write a natural language prompt to GitHub Copilot CLI within the Windows Performance Analyzer window. Copilot then analyzes the trace data, identifies relevant information, determines bottlenecks (such as CPU starvation, disk bottlenecks, memory pressure, or problematic drivers), and creates a report based on the insights it finds.
What problems can it help identify?
The tool can help distinguish hangs, delayed input response, long ready times, CPU starvation, disk bottlenecks, memory pressure, paging, service contention, and problematic drivers—and separate system-wide bottlenecks from issues isolated to a single app or service.

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