The video provides an in-depth tutorial on the advanced features of Agent Mode in VS Code, demonstrating how to use Copilot Vision, custom agents, and MCP integration to autonomously build, debug, document, and manage a budgeting app project. It also covers source control with AI-generated commit messages, GitHub issue management, and lesser-known tools like running web apps inside VS Code and customizing AI model visibility.
The video provides a comprehensive tutorial on the evolving Agent Mode in Visual Studio Code (VS Code), highlighting new features such as Copilot Vision, bring your own key, and MCP integration. The presenter demonstrates how Agent Mode can be accessed via the chat icon in VS Code, explaining the differences between ask mode, edit mode, and agent mode. Ask mode allows users to ask questions, edit mode lets users request code changes with review prompts, and agent mode autonomously performs tasks back-to-back. The video also introduces the planning feature within agent mode, which helps plan out tasks before implementation.
Using a practical example, the presenter builds a budgeting app inspired by spreadsheet screenshots analyzed through Copilot Vision. By uploading images of a transaction sheet and summary sheet, the AI interprets the data and generates a detailed prompt to create a budgeting app. The presenter switches between ask, edit, and agent modes to develop the app, demonstrating how agent mode autonomously installs dependencies, runs the app, and even handles debugging with the help of screenshots. The debugging process is streamlined as the agent identifies issues and suggests fixes, which the user can accept or reject.
The tutorial then explores enhancing the app by adding documentation and comments to the code using the chat feature. The presenter shows how to request detailed comments and explanations for specific files, and even customize the tone of explanations with humor and emojis. Additionally, the concept of custom agents is introduced, allowing users to configure agents with specific behaviors and tools. The presenter demonstrates creating a custom planning agent to add a “tip of the day” feature to the budgeting app, which provides financial advice and learning tips within the app interface.
Next, the video covers source control integration within VS Code, showing how to initialize a Git repository, stage files, and commit changes. The presenter highlights an AI-powered commit message generator that creates detailed commit messages automatically. The tutorial also introduces MCP (Mono Context Protocol), which enables the agent to interact with external tools like GitHub. By installing the GitHub MCP server, the presenter shows how the agent can create GitHub issues for new feature ideas and assign them to the coding agent, streamlining project management and collaboration.
Finally, the video shares two lesser-known features: running web apps inside VS Code using the Simple Browser extension, which allows interaction with the app and DOM inspection directly within the editor, and managing the visibility of AI models in the chat interface. Users can hide or show specific models and add their own using the bring your own key feature. The tutorial concludes by encouraging viewers to like, subscribe, and explore additional deep-dive videos for further learning.