Leveraging Gen AI for digital transformation

Holistically it's challenging for organizations to navigate a tech transformation whilst keeping an eye on cost optimization and enabling developers to boost productivity levels. In this showcase Wayfair can speak to their experience for both: Addressing Technical Debt -Legacy Code Modernization: Gen AI can translate outdated code into more modern languages or refactor it for better efficiency and maintainability. This eases the burden of working with old systems. -Identifying and Fixing Bugs: AI can analyze codebases to pinpoint potential bugs or vulnerabilities proactively, preventing costly problems further down the line. -Test Case Generation: Gen AI can generate diverse test cases, improving test coverage and preventing defects before they reach production. -Automation of Repetitive Tasks: AI can automate tedious or repetitive aspects of managing technical debt, freeing developers to focus on strategic improvements. Boosting Developer Productivity -Code Generation: Gen AI can generate code snippets or even entire functions, helping developers work faster. This is especially useful for: Repetitive tasks, allowing developers to focus on more complex problems. New languages or frameworks, bridging knowledge gaps. -Intelligent Code Completion: AI-powered code completion tools go beyond traditional autocomplete to suggest more advanced code constructs tailored to the context, promoting faster development. -Code Explanations: Gen AI can break down complex code and explain its logic in plain language, helping with on-boarding new developers to large code bases and aiding in understanding legacy code. -Code Reviews and Refactoring: AI models can suggest code improvement recommendations, promote adherence to best practices, and assist in the refactoring process to make code cleaner and more maintainable. -Documentation Generation: Gen AI can automatically generate comments and documentation, taking a tedious, but necessary, task off of developers' plates. Speakers: W