Welcome to the AI Code Development Workshop! This hands-on workshop guides you through implementing comprehensive AI-assisted development solutions for enterprise applications using GitHub Copilot, Azure AI tools, and agentic DevOps practices.
🌐 Official Workshop Website: code-ai.dev
Welcome to the Enterprise AI-Assisted Code Optimization Workshop! This repository takes you on a transformative journey from traditional development to the world of AI-assisted optimization and agentic DevOps.
As a developer in today's enterprise environment, you face a critical challenge: most of your time isn't spent creating new value. According to our development productivity research:
- 60% of time spent on non-coding tasks (planning, meetings, research)
- 30% on maintaining existing code (bug fixes, refactoring)
- Only 10% writing new code that delivers business value
- High cognitive load from context switching between different tasks
- Reactive problem-solving instead of proactive optimization
This workshop provides hands-on guidance to implement AI-assisted development using modern tools and practices. We'll demonstrate how GitHub Copilot, Azure AI, and agentic workflows can transform your development efficiency.
"AI-assisted development is not about replacing developers, but about amplifying their abilities to solve complex problems faster and more effectively."
The workshop is organized into progressive modules, allowing you to choose the depth of coverage based on your time and experience:
| Level | Duration | Focus | Best For |
|---|---|---|---|
| Basic | 90 min | Core concepts and basic setup | Beginners, time-constrained sessions |
| Intermediate | 2 hours | Complete AI workflow implementation | Intermediate users, standard workshops |
| Advanced | 3+ hours | Enterprise-scale solutions | Experienced practitioners, deep dives |
📖 Complete Workshop Guide: View the full workshop guide with detailed instructions
Module 1: Introduction to AI-Powered DevOps
- Understanding the AI development paradigm
- GitHub Copilot fundamentals and capabilities
- Setting up your AI-enhanced development environment
- Workshop preparation and tool setup
- Creating your first AI-assisted optimization
- Exploring GitHub Copilot fundamentals
Module 3: Building Your First AI Agent
- Performance optimization techniques
- Security vulnerability detection and remediation
- Using AI for code quality improvements
Module 4: Multi-Agent Orchestration
- Copilot Chat and workspace features
- Custom AI workflows and automation
- Advanced code generation patterns
Module 5: Advanced AI DevOps Patterns
- CI/CD pipeline integration
- Azure AI services integration
- Enterprise governance and compliance
Module 6: Real-World Implementation
- GitHub Copilot Coding Agent setup
- Autonomous development workflows
- Multi-agent collaboration patterns
Module 7: Production Optimization
- Performance monitoring and optimization
- AI-powered incident response
- Continuous improvement strategies
Module 8: Hands-On Challenge Labs
- Real-world optimization scenarios
- End-to-end implementation exercises
- Java and .NET practical examples
- Common setup issues and solutions
- Advanced debugging techniques
- Performance optimization strategies
- Comprehensive Q&A covering all workshop topics
- AI development ethics and best practices
- Enterprise adoption and security concerns
- Create Azure Free Account
- GitHub account with GitHub Copilot Free
- Download VS Code
- Development environment: VS Code, Git, Node.js/Java/.NET
- Basic understanding of software development
- Familiarity with either Java or C# programming
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Fork and Clone this Repository
git clone https://github.com/paulanunes85/Code-AI-Dev.git cd Code-AI-Dev -
Quick Start (30 minutes)
- Follow our Quick Start Guide for immediate hands-on experience
- Complete setup verification and your first AI-assisted optimization
-
Follow the Workshop Structure
- Start with Pre-Workshop Preparation
- Begin with Module 1: First AI Code
- Progress through modules based on your experience level
- Use the Troubleshooting Guide if needed
- AI-Enhanced Development: Learn to implement GitHub Copilot for intelligent code optimization
- Multi-Language Support: Build skills with both Java and .NET examples
- Real-World Scenarios: Practice with authentic production-like challenges
- Progressive Learning: Start from basics and advance to enterprise-scale solutions
- Agentic Workflows: Use AI agents to automate development processes
AI Code Development (This Workshop)
Complete workshop for leveraging AI tools like GitHub Copilot to optimize and improve code quality in enterprise environments. Learn advanced AI-assisted workflows, refactoring techniques, and best practices for integrating AI tools into development processes.
Comprehensive workshop for implementing secure coding practices using AI-powered tools, GitHub Advanced Security, and modern DevSecOps workflows. Learn to shift-left security, reduce vulnerabilities significantly, and achieve enterprise-grade security compliance with AI assistance.
Hands-on workshop for implementing comprehensive observability solutions using Azure Monitor, Application Insights, and AI-powered tools. Learn to build modern monitoring systems, implement AI-enhanced observability, and create intelligent DevOps practices for cloud applications.
Comprehensive workshop for implementing design-to-code workflows using AI-powered tools, Figma integration, and modern development practices. Learn to bridge the gap between design and development, creating consistent and maintainable user interfaces with intelligent automation.
Hands-on workshop for transforming Figma designs into production-ready code using GitHub Copilot Agent Mode and AI-powered tools. Learn to convert sophisticated designs into fully functional applications, achieving significant time reduction in development cycles with enterprise-grade features.
This Enterprise AI-Assisted Code Optimization Workshop was developed by Paula Silva, Developer Productivity Global Black Belt at Microsoft Americas. The workshop provides a comprehensive approach to implementing AI-assisted development practices and agentic DevOps workflows for modern software applications.