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Microsoft Leverages AI Agents to Revolutionize Platform Engineering

August 13, 2025•Darryl K. Taft•Original Link•2 minutes
AI
Platform Engineering
Microsoft

Microsoft's platform engineering team employs AI agents to enforce security standards and streamline developer infrastructure management at scale.

Microsoft's platform engineering team, led by Amanda Silver, Corporate Vice President of Product in the Developer Division, is leveraging AI agents to revolutionize how security standards and infrastructure updates are implemented across the company's vast codebase. This shift marks a significant departure from traditional, human-driven processes.

The Challenge of Scale

Previously, initiatives like the Secure Future Initiative—Microsoft's massive cybersecurity project—required issuing thousands of tickets to developers for manual updates. For example, updating authentication libraries across all codebases was a tedious, error-prone process that diverted developers from core feature work. Similar challenges arose with dependency management, pipeline modernization, and security tool integration.

AI Agents Take Over

Silver's team now uses coding agents—AI systems capable of autonomously analyzing codebases, understanding context, and implementing changes. These agents:

  • Generate pull requests or near-complete solutions.
  • Handle edge cases and legacy code patterns.
  • Reduce human intervention and improve consistency.

Key Applications:

  1. Dependency Management: AI agents identify and update vulnerable packages across thousands of repositories.
  2. Pipeline Modernization: Agents optimize build and deployment pipelines while preserving functionality.
  3. Security Scanning: New tools are integrated seamlessly, with exceptions managed automatically.
  4. Code Quality Standards: AI enforces best practices without extensive manual reviews.

Industry-Wide Implications

Microsoft's approach could redefine platform engineering by:

  • Enabling smaller teams to achieve enterprise-grade practices.
  • Shifting focus from manual enforcement to AI orchestration.
  • Accelerating iteration cycles for security updates and other critical changes.

Future Outlook

Silver envisions platform engineering teams becoming smaller and more strategic, focused on designing systems rather than manual implementation. "We’re tackling the most miserable, soul-draining parts of the job," she said, allowing developers to focus on creative work.

For more on Microsoft's Secure Future Initiative, visit Microsoft Trust Center.

Trending Stories: Platform Engineering vs. DevOps | Developer Velocity

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About the Author

David Chen

David Chen

AI Startup Analyst

Senior analyst focusing on AI startup ecosystem with 11 years of venture capital and startup analysis experience. Former member of Sequoia Capital AI investment team, now independent analyst writing AI startup and investment analysis articles for Forbes, Harvard Business Review and other publications.

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Startup Analysis
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Market Research
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Experience
11 years
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