AI + VS Code = 🤯
TLDRThe video script showcases the innovative use of AI with Visual Studio Code to streamline and enhance coding tasks. By leveraging GitHub Copilot Labs extension and custom key bindings, developers can issue commands to automatically format, style, and refactor code, regardless of the CSS framework in use. The AI's capabilities extend to adding types, fixing bugs, and even generating new code sections. This integration is powered by OpenAI's Edits API, making it a flexible tool for developers to quickly prototype and iterate on their projects, with the option to visually edit and download code for live updates to their websites or apps.
Takeaways
- 🤖 AI can be integrated with Visual Studio Code to assist in editing and rewriting code.
- 🎨 Users can give commands like 'Center the button', and AI will automatically adjust the code based on the detected CSS framework, such as Tailwind.
- 💅 AI can enhance the visual appeal of elements, like buttons, by adding appropriate styles.
- 📝 The AI's capabilities are not limited to a specific CSS framework; it works with Tailwind, Emotion, plain CSS, etc.
- 🔑 Custom key bindings can be set up in VS Code to quickly access AI prompts, such as 'command + shift + A'.
- 🖌️ GitHub Copilot Labs VS Code extension offers built-in options and supports custom prompts for various code manipulations.
- 🔍 AI can improve code readability, fix bugs, and add missing types or functionalities.
- 📈 The OpenAI Edits API powers these features, making it easy to integrate AI into products.
- 🛠️ AI functionality has been added to builder.io, allowing users to generate and visually edit page sections.
- 📥 Changes made using AI can be exported as code, and updates can be automatically applied to websites or apps.
- 📚 A step-by-step guide on configuring the IDE for AI commands is available on the builder.io blog.
Q & A
What is the main topic of the script?
-The main topic is the integration of AI with Visual Studio Code (VS Code) for code editing and enhancement using GitHub Copilot Labs VS Code extension.
How does the AI detect the use of Tailwind in the script?
-The AI automatically detects the use of Tailwind by analyzing the code context and applying appropriate styles based on the user's instructions.
What are some examples of visual and abstract commands mentioned in the script?
-Examples include making a button prettier by adding the right classes and adding space around the text or above the button.
How can users customize the AI prompts?
-Users can customize AI prompts by adding custom key bindings, such as Command + Shift + A, to access prompts from GitHub Copilot Labs brushes.
What other features are available with GitHub Copilot Labs brushes?
-Other features include adding types, fixing bugs, improving code readability, and customizing code behavior, such as changing sorting order.
How is the openai-edits API utilized in the script?
-The openai-edits API is used to power the AI functionality, making it easy to integrate into products like builder.io for generating page sections using AI.
What can users do with the AI in builder.io?
-Users can generate page sections using AI, visually edit them like in Figma, or use AI to add elements like a second button, and download the code for their website or app.
How does the AI assist in code generation for Tailwind?
-The AI can add new Tailwind code generation options or integrate with the API, allowing the edits made to go live automatically on the user's website or app.
Where can users find a step-by-step guide on configuring their IDE for AI commands?
-A step-by-step guide on configuring the IDE for AI commands from a keyboard shortcut can be found on the builder.io blog.
What is the significance of the openai-edits API's ease of use?
-The ease of use of the openai-edits API allows developers to quickly integrate AI capabilities into their products, enhancing functionality with minimal effort.
Outlines
🤖 AI and VS Code Integration
The paragraph discusses the use of AI with Visual Studio Code (VS Code) to edit and rewrite code. It highlights the ability to give commands like 'Center the button' and have the AI automatically apply the correct CSS, such as using Tailwind, without needing to specify the exact CSS rules. The AI can also enhance the visual appeal of elements by adding styles. The user mentions using GitHub Copilot Labs VS Code extension and custom key bindings for quick access to AI prompts. The AI's capabilities extend to adding types, fixing bugs, and customizing code behavior. The integration is powered by OpenAI's edits API, which is easy to use and can be incorporated into products like builder.io, allowing for AI-generated page sections and visual editing. The AI can also add missing types and perform other tasks, with changes made through a visual interface or AI commands. The user can download the code or integrate it into an API for live updates to a website or app.
Mindmap
Keywords
💡AI
💡VS Code
💡Tailwind
💡GitHub Copilot Labs
💡Custom Key Binding
💡Brushes
💡OpenAI Edits API
💡Builder.io
💡Code Generation
💡API Integration
💡Visual Editing
Highlights
Using AI with VS Code to edit and rewrite code
AI can automatically detect and apply Tailwind CSS
AI can make visual and abstract changes to code
Adding custom key bindings for AI prompts
GitHub Copilot Labs VS Code extension
Built-in options like adding types or fixing bugs
Custom prompts for specific code modifications
AI can improve code readability
AI can add missing types or reorder code
OpenAI Edits API for easy integration
AI functionality added to builder.io
AI can generate page sections and allow visual editing
AI can add or adjust elements like buttons and spacing
AI edits can be downloaded as code
New Tailwind CSS code generation option
AI edits go live automatically to websites or apps
Learn more about VS Code tricks with AI
Step-by-step guide on configuring IDE for AI commands