VS Code Agent Mode Just Changed Everything
AI Summary
Summary of AI Features in Visual Studio Code
- Introduction to New Features:
- Overview of the new AI capabilities in Visual Studio Code, including agent mode, new completions model, and MCP servers.
- Agent Mode:
- How to enable agent mode via user settings.
- Comparison of modes: Ask, Edit, and Agent.
- Ask Mode: Standard chat interaction.
- Edit Mode: Allows modification of files.
- Agent Mode: Acts like a developer, executing tasks autonomously.
- Using Documentation:
- Importance of providing context to AI, especially with training cutoffs.
- Example of fetching documentation to guide the AI in completing tasks.
- Building an Application:
- Introduction of a project requirements document (PRD) for creating an application called URL List.
- Description of the application’s functionality (tracking and sharing links).
- Connecting to Databases:
- Introduction of MCP servers to connect VS Code with Postgres databases.
- Steps to install and configure MCP servers for database interaction.
- Building the Application with AI:
- Process to instruct AI to build the application using the PRD and previously established context.
- Overview of how AI generates and modifies code based on user requirements.
- Using Built-in Features:
- Demonstration of AI features such as auto-saving changes, modifying components, and drag-and-drop functionality.
- Confirmation of success through persistence of database entries.
- Bringing Your Own Key:
- Ability to input AI keys for models like Olama or Gemini to customize AI interactions.
Conclusion:
- Emphasis on the potential of AI in development, encouraging users to explore and create with the new tools.