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AI Engineer - Learn how to integrate AI into software applications
Overview
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Learn how to transform enterprise software development lifecycles by enhancing GitHub Copilot with contextual frameworks and organizational knowledge in this 12-minute conference talk from Microsoft Ignite 2025. Discover Slalom's innovative approach to creating a "memory bank" for GitHub Copilot that incorporates project context, enterprise standards, and design rules to generate code that aligns with organizational practices. Explore the implementation of context frameworks, Mermaid diagrams, and Model Context Protocol (MCP) servers to improve AI-driven development workflows. Examine real-world case studies demonstrating significant improvements in code quality and consistency through this methodology. Master techniques for prototyping single-page applications in React and Angular while embedding enterprise practices into AI-generated code. Understand integration strategies with enterprise systems including Jira, Azure DevOps, and Figma to create seamless development workflows. Investigate dynamic context provisioning through MCP and learn about Slalom's Accelerator for implementing asynchronous agentic workflows. Gain insights into aligning project deliverables between human developers and AI assistants while capturing and leveraging best practices from existing codebases to maintain coding standards across development teams.
Syllabus
0:00 - Prototyping Single-Page Applications in React or Angular
00:04:14 - Embedding Enterprise Practices into AI-Driven Code Development
00:06:25 - Integrating with Systems like Jira, Azure DevOps, and Figma
00:06:50 - Introduction to Dynamic Context via MCP
00:08:55 - Introducing Slalom Accelerator for Asynchronous Agentic Workflows
00:10:12 - Introducing the concept of project deliverables aligning humans and GitHub Copilot
00:10:33 - Capturing best practices and coding standards from existing projects
Taught by
Microsoft Ignite