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As Agentic AI Expands Microsoft Introduces MS365 Copilot Agent Debugging

April 10, 2025•By David Ramel04/10/2025•Original Link•2 minutes
AgenticAI
Microsoft365
Debugging

Microsoft has introduced agent debugging functionality for Microsoft 365 Copilot enabling debugging directly within the AI tool without requiring Visual Studio 2022 or Visual Studio Code.

Microsoft has unveiled a significant update to Microsoft 365 Copilot, introducing agent debugging functionality directly within the AI tool. This eliminates the need for traditional development environments like Visual Studio 2022 or Visual Studio Code, streamlining the debugging process for AI agents.

The Challenge of Debugging Agentic AI

Debugging AI agents has historically been complex due to:

  • Unpredictable behavior and reliance on external inputs
  • Limited visibility into decision-making processes
  • Potential issues stemming from integration failures, data misalignment, or model configurations

Microsoft's innovative solution brings debugging capabilities directly into Microsoft 365 applications like Word, Excel, and Outlook.

How It Works

Users can activate the debugging feature by simply typing the command:

-developer on

in the Copilot interface. This approach is reminiscent of browser-based developer tools that open with a simple command.

developer on

[Click on image for larger view.] -developer on (source: Microsoft).

Key Features

Microsoft's Carol Mbasinge Kigoonya announced the general availability in an April 9 blog post, highlighting three major feature categories:

1. Agent Configuration Insights

  • Agent capabilities: View active capabilities and configurations
  • Knowledge scopes: Understand accessible data and resources
  • Agent actions: Detailed view of action configurations and execution

2. Improved Execution Monitoring

  • Success & failure insights: Quickly identify issues
  • Execution details: Track performance metrics
  • API plugin responses: Access endpoint and header details

3. Observability Tools

  • ID tracking: Standardized identifiers for interactions
  • Latency information: Identify performance bottlenecks
  • Collaboration features: Share debugging details easily

Additional Resources

Microsoft has provided:

  • An introductory video
  • Comprehensive documentation

This development represents a significant step forward in making Agentic AI more accessible and manageable for developers working within the Microsoft 365 ecosystem.

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Enterprises are shifting from passive AI tools to autonomous agentic systems, redefining workflows and driving innovation across industries.

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August 12, 2025•Unknown

Master Agentic AI with Python in This 4-Hour Video Tutorial

Learn agentic AI engineering in Python through a comprehensive four-hour video workshop by Jon Krohn and Edward Donner, covering frameworks, workflows, and hands-on coding.

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About the Author

Dr. Lisa Kim

Dr. Lisa Kim

AI Ethics Researcher

Leading expert in AI ethics and responsible AI development with 13 years of research experience. Former member of Microsoft AI Ethics Committee, now provides consulting for multiple international AI governance organizations. Regularly contributes AI ethics articles to top-tier journals like Nature and Science.

Expertise

AI Ethics
Algorithmic Fairness
AI Governance
Responsible AI
Experience
13 years
Publications
95+
Credentials
2
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