Overview

In this session, GitHub experts guide participants through best practices for modernizing and maintaining legacy applications with AI-powered development.

Attendees gain strategic insights, explore hands-on techniques, and engage in collaborative discussions on how AI can improve efficiency, enhance maintainability, and drive digital transformation within their businesses.

Topics

• AI-assisted development for legacy modernization
• Key challenges and opportunities in transforming legacy applications
• Strategies for improving code quality, security, and maintainability
• Integrating AI-powered tools into modernization workflows
• Hands-on workshop: Practical applications of AI in development

Customer benefits

This offering will help customers:

• Accelerate modernization efforts with AI-driven development
• Reduce technical debt and streamline refactoring processes
• Enhance developer productivity and code maintainability
• Gain actionable insights for integrating AI into your software strategy

Learning objectives

By the end of this training, learners will be able to:

• Explain AI’s role in modernizing legacy applications
• Identify opportunities to improve development efficiency with AI
• Apply best practices for AI-assisted code transformation
• Develop a roadmap for integrating AI tools into modernization strategies

Audience

Required:

• Software Architects
• Software Engineers

Optional:

• N/A

Delivery details

• Level: Advanced [300]
• Offering type: Training
• Format: Remote or onsite
• Class size: 16 participants maximum
• Schedule (days and hours): 1 day; 3 hours per day
• Customer pre-work: No

Customer prerequisites

Before this training, participants should have:

• Completed GitHub for Developers Training
• Basic knowledge of legacy software environments
• Familiarity with software development workflows
• Access to GitHub.com for optional hands-on exercises