Ship Faster: End-to-End Azure App Development with GitHub Copilot and Intelligent Agents
Microsoft Developer presents a session on leveraging GitHub Copilot and intelligent agents to streamline Azure application development and operations. The talk demonstrates practical integration of AI-powered assistants across the DevOps lifecycle.
Ship Faster: End-to-End Azure App Development with GitHub Copilot and Intelligent Agents
Presented by Microsoft Developer
Overview
This session covers how developers can accelerate the entire application lifecycle on Azure by utilizing GitHub Copilot and a suite of purpose-built intelligent agents. Learn how these AI-powered tools help at every step, from planning and coding to deployment, diagnostics, and production operations.
Topics Covered
- Coding Agent: Streamlines code writing and enforces best practices.
- App Modernization Agent: Accelerates updating legacy apps for cloud-native Azure deployments.
- Cloud Architecture Agent: Aids in planning and refining scalable, secure architecture for cloud apps.
- GitHub Copilot for Azure: Integrates Copilot capabilities directly into Azure workflows for code, deployment scripting, and configuration generation.
- Azure MCP Server: Simplifies deployment and enables more efficient diagnostics.
- SRE (Site Reliability Engineering) Agent: Monitors and automates operational tasks in production to maintain reliability.
- Testing Agent: Boosts quality assurance automation, reducing manual testing friction.
End-to-End DevOps with AI
By integrating these agents alongside GitHub Copilot tooling, developers can:
- Plan features, solutions, and architecture using conversational interfaces
- Automate repetitive coding, configuration, and scripting tasks
- Deploy, monitor, and diagnose applications on Azure faster
- Extend automation and observability into production
Resources
- Join the Microsoft Foundry Discord: Join here
- Azure Free Trial: Sign up
- Hands-on MCP Lab Repo: Access lab
- On-Demand Sessions: Watch here
Key Benefits
- Rapid iteration and feedback cycles
- Unified development and operations workflows
- AI-driven automation for the full lifecycle
Conclusion
This presentation demonstrates how combining GitHub Copilot, intelligent agents, and Azure yields a significant efficiency boost for professional developers, DevOps engineers, and SRE teams.