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00:00:00 – 00:09:49
The video provides an extensive overview of the Co-pilot Chat feature integrated within VSCode, presented by Harald from the VSCO team. Co-pilot Chat is an AI tool that assists in coding workflows by offering features such as function signatures, parameters, inline documentation, and relevant code snippets to enhance accuracy and verifiability. It integrates GitHub's Knowledge Graph for semantic search and a local index for fast lexical searches, ensuring relevant results even for uncommitted files. The tool also enables efficient error fixing through linting, hovers, and rich autocomplete features, alongside facilitating workflow tasks like committing changes and drafting PR titles. It utilizes multiple AI models, including GPT-4 and GPT-3.5 turbo, to balance intelligence and speed, and integrates seamlessly into environments like Jupyter notebooks. The video underscores the importance of maintaining workflow efficiency and introduces a preview of these functionalities available for Visual Studio at JetBrains. The segment reinforces the goal of enhancing coding efficiency and concludes with a positive message for the viewers.
00:00:00
In this segment of the video, Harald from the VSCO team gives an in-depth demonstration of the co-pilot chat feature integrated into VSCode. He outlines the process and benefits of adding co-pilot chat as an essential tool for coding workflows. Harald showcases various customization options, such as positioning the chat window and using quick chat from the command center for a minimal and efficient UI. He emphasizes that co-pilot chat can significantly speed up adding new features by pulling relevant information from the codebase. Harald explains the hybrid approach co-pilot chat uses to retrieve code, utilizing GitHub’s Knowledge Graph for semantic search and a local index for fast lexical searches, ensuring relevant results even for uncommitted files.
00:03:00
In this part of the video, the speaker discusses various capabilities and enhancements of Copilot Chat, an AI tool designed for code assistance. Key features highlighted include its ability to provide function signatures, parameters, and inline documentation, making it an expert on any code base. The AI’s responses are grounded with relevant code snippets and links, enhancing accuracy and verifiability. The video also details the interactive nature of the tool, allowing users to make plans, reference other files, and use inline chat for tasks such as symbol definitions, related files, and more. It mentions the use of multiple models, like GPT-4 and GPT-3.5 turbo, to balance intelligence and speed. Additionally, the segment emphasizes the importance of maintaining workflow and introduces features like linting, hovers, rich autocomplete, and a favorite command for fixing errors efficiently.
00:06:00
In this part of the video, the speaker demonstrates how Co-pilot’s fix feature helps streamline coding workflows. By addressing red squiggles with the command Dot or the code actions menu, Co-pilot resolves issues like linting errors and missed arrows. The speaker showcases using Co-pilot for efficient committing, drafting PR titles, and descriptions. They highlight the functionality of managing inline chat using voice commands and organizing entries alphabetically, which significantly speeds up these tasks. Co-pilot’s ability to integrate with VS Code and suggest commands or fix runtime errors in different environments, like Jupyter notebooks, is also emphasized.
00:09:00
In this part of the video, the speaker discusses three significant updates: how Co-pilot Chat gains expert knowledge of any code base, the usage of GPT-4 among multiple models, and the integration of AI into various aspects of the developer workflow. These features are now available in VS Code’s Co-pilot Chat, with a preview available for Visual Studio at JetBrains via a waitlist. The segment concludes by thanking the audience and wishing them happy smart coding.