Presented by Kate Catlin and Facundo Santiago at Microsoft Ignite, this session explores how IT professionals can build, customize, and deploy AI-driven apps quickly using GitHub and Microsoft Foundry. The talk highlights agentic architectures, multi-agent workflows, security, and demo-driven insights.

Build AI Apps Fast with GitHub and Microsoft Foundry in Action

Speakers: Kate Catlin, Facundo Santiago
Event: Microsoft Ignite 2025 | Session BRK110
Level: Intermediate (200)

Overview

This session helps IT professionals accelerate AI application development with Microsoft’s Foundry platform and GitHub. It highlights the end-to-end process, from initial experimentation to large-scale deployment of intelligent applications.

Key Topics Covered

  • AI App Lifecycle: Full workflow from experimentation to production deployment of AI-driven apps
  • Integration of Tools: Live demonstrations of the AI Toolkit, integrating GitHub, Microsoft Foundry, and Agent Framework
  • Orchestration & Security: Focus on robust workflows, orchestration of multi-agent systems, and ensuring security and governance throughout development
  • Demo Use Case: Classifying bug reports using GitHub Action and an AI model

Chapters & Highlights

  1. Retrieval-Augmented Generation (RAG) to Agentic AI
    • Introduction to leveraging RAG and proactive agentic approaches
  2. Demo: AI Toolkit
    • Integration of GitHub, Microsoft Foundry, and the Agent Framework
  3. Classifying Bug Reports
    • Running experiments with GitHub Actions and AI modeling
  4. Modular Agent Design
    • Methods for scalable and maintainable agent architectures
  5. Tool Selection Challenges
    • Insights on making choices in complex multi-agent ecosystems
  6. Multi-Agent Workflow Construction
    • Avoiding monolithic designs through modular, conditional workflows
  7. Efficient Packaging & Deployment
    • Using Azure Cloud Deploy (ACD) for agent packaging and rollout
  8. Conclusion
    • Encouragement to build multi-agent systems with Azure Foundry

Learnings & Best Practices

  • Workflow Orchestration: Utilizing Foundry’s orchestration to efficiently move AI projects from concept to deployment
  • Security and Governance: Leveraging built-in features for managing app security throughout the lifecycle
  • Scalable Architectures: Designing modular agents for scalability and future-proof applications
  • DevOps Integration: Using GitHub Actions and advanced DevOps practices to automate testing and deployment

Who Should Watch

  • IT professionals exploring AI in enterprise development
  • Teams building custom AI workflows or intelligent agent apps
  • Developers interested in integrating DevOps with AI platforms

See Also

About the Speakers

  • Kate Catlin and Facundo Santiago present technical insights, live demos, and actionable advice drawn from rich experience in AI platform engineering and developer enablement.

Join this intermediate session to gain hands-on knowledge on orchestrating, securing, and scaling AI apps using Microsoft’s latest tooling.