In the field of software development, code quality and performance are of utmost importance. High quality code not only ensures that the software is easy to maintain and scalable, but also minimizes the risk of bugs and security vulnerabilities. Performance, on the other hand, is critical for seamless user experience and resource efficiency.

Enter AI-driven tools like GitHub Copilot, which are transforming the way developers write code. GitHub Copilot helps you quickly create robust and efficient code by using an AI pair programmer that suggests entire lines or blocks of code as you type. It's trained on a dataset of public source code, so it understands context and makes relevant suggestions.

Without the overhead of manual search and recall, GitHub Copilot can help developers improve the quality of their code by adhering to best practices and design patterns. It can also recommend performance optimizations, such as more efficient algorithms or memory management techniques, to improve the overall performance of the software.

This session will explore how AI and GitHub Copilot can be used as powerful allies in writing better code, ensuring that developers can focus on creative problem-solving while leaving the routine coding tasks to their AI counterpart.