GitHub Copilot, powered by OpenAI's Codex model, has been enhanced by GitHub's machine learning experts to improve its contextual understanding and coding suggestions for developers. Initially launched as a technical preview in 2021 and generally available in 2022, GitHub Copilot leverages prompt engineering to provide contextually relevant responses with low latency. The tool uses transformer large language models (LLMs) to connect input and output text, allowing it to offer more precise suggestions by considering the entire codebase rather than just the active file. Innovations like the Fill-In-the-Middle (FIM) paradigm and techniques such as "neighboring tabs" contribute to improved semantic understanding and coding efficiency. GitHub's ongoing research, including the use of vector databases and embeddings, aims to create a customized coding experience for developers, particularly in private repositories. Studies have shown that developers using GitHub Copilot can code up to 55% faster, enhancing productivity and allowing them to focus on more meaningful work. These enhancements are part of GitHub's collaboration with Microsoft Azure AI-Platform to advance GitHub Copilot's capabilities.