Cassidy Williams, a software engineer at GitHub recognized for her contributions to GitHub Copilot and VS Code, joins the discussion about future advancements in coding tools. The conversation highlights exciting new features, including custom instructions and enhanced UI/UX in VS Code. Cassidy shares insights on using AI for multi-file editing and the innovative capabilities of Copilot extensions. They also delve into practical applications of AI in coding, exploring how these tools can adapt to ever-evolving developer needs and improve overall efficiency.
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Quick takeaways
The introduction of advanced multi-file editing capabilities in coding environments significantly streamlines development tasks, enhancing productivity and code quality.
Custom instructions in AI tools allow developers to tailor responses based on their specific coding styles and preferences, improving integration and effectiveness.
Deep dives
Overcoming Pre-Demo Anxiety
The excitement and anxiety surrounding live demos are highlighted, particularly as the speakers reflect on their preparations. Cassidy Williams shares her experience of rehearsing an AI demo for a large audience, emphasizing the unpredictability of AI outcomes despite thorough planning. The pressure of delivering a smooth presentation is palpable, as she recalls the multiple fail-safes she had in place, including backup videos and a second laptop ready to go. Ultimately, the success of the live demo served as a satisfying outcome for both Williams and the audience.
Innovative Multi-File Editing Features
The podcast discusses the introduction of advanced multi-file editing capabilities within the coding environment, marking a significant improvement for developers. This feature allows users to edit multiple files simultaneously and maintain consistency across them, streamlining coding tasks that previously required excessive back-and-forth. One particularly impressive function is the ability to use copilot custom instructions, where developers can specify what they need their code to achieve, ultimately enhancing productivity and code quality. The flexibility of this feature allows customization across various repositories, catering to diverse coding contexts.
Enhancing User Experience Through Custom Instructions
Custom instructions in the coding platform play a pivotal role in tailoring AI responses based on specific user requirements. Developers can outline their preferred coding styles, conventions, and even corrections for errors the AI may have made in the past. For example, users can instruct the AI to follow specific syntax or utilize certain libraries, thus enhancing the relevance and accuracy of the generated code. This approach proves beneficial for developers who face challenges in integrating AI with unique coding ecosystems, thereby making the AI tool more effective.
Experimentation and Continuous Improvement
The importance of ongoing experimentation and user feedback in product development is underscored, revealing a rigorous iterative process within the coding tools being discussed. The development teams continuously explore new features and enhancements, gauging user response through various channels, including surveys and direct feedback. This research not only helps drive product enhancements but ensures that the tools evolve in alignment with real-world developer needs. The discussion also highlights the adaptability of the tools in various coding environments, broadening their scope and utility for users.
Wes and Scott talk with Cassidy Williams and Harald Kirschner about exciting new features in VS Code and GitHub Copilot, including custom instructions, UI/UX improvements, and the future of AI and Copilot within different editors.