Can I upgrade my AI-powered IDE for more features? 💳

Yes, there is an opportunity to upgrade to a pro membership that grants access to additional courses and more advanced features, enhancing your experience and capabilities within the AI-powered IDE.

How do I interact with the AI model in my IDE? 🤖

To interact with the AI model in your IDE, set up an event listener for incoming messages and display AI responses in the UI. You can use a debugger to test the interaction and ensure the AI provides quick and relevant answers to coding queries.

What is the ES6 String HTML extension in VS Code? ✨

The ES6 String HTML extension helps improve coding efficiency by providing enhanced syntax highlighting for JavaScript files. It allows developers to manage user input efficiently and stream responses from AI models within the chat interface.

How do I use the Olama tool? 🛠️

Olama can be run locally by executing its command in the terminal to download the AI model. It supports TypeScript integration, which can be installed via npm, and allows the creation of a web view panel for seamless interaction with the AI assistant.

What are the steps for testing and debugging a VS Code extension? 🔍

To test and debug your VS Code extension, use the built-in debugger. Launch the extension in a new VS Code window and interact with it. You can also integrate the Olama tool to incorporate and manage AI models during your debugging process.

How do I create a custom cursor style editor in VS Code? 🎨

To create a custom cursor style editor in VS Code, generate a project using the official starter template. You will have a TypeScript template and an 'extension.ts' file to work with. The VS Code API can then be accessed to customize cursor features and extend the functionality of the editor.

What is Deep Seek R1? 🧠

Deep Seek R1 is a low-cost open-source reasoning model that allows developers to create efficient AI assistants. It provides functionalities not only for code-related tasks but also for more general AI interactions.

How can I run my AI assistant locally? 💻

You can run the Deep Seek R1 model locally by downloading it and utilizing your machine’s resources instead of relying on subscription-based AI models. This setup enhances privacy and reduces costs associated with using online AI services.

What is a VSS code extension? 🤔

A VSS code extension is a tool that enhances the functionality of Visual Studio Code (VS Code), allowing developers to add custom features or integrations, such as an AI assistant. This particular video focuses on building such an extension powered by the Deep Seek R1 AI model.

Build an AI Assistant in VS Code: Ditch Subscriptions with Deep Seek R1

TLDR Learn how to create a VSS code extension for a local AI assistant, powered by Deep Seek R1, and cut costly subscription fees. Master essential VS Code features and integration tips!

Install Chrome extension

Key insights

🛠️ 🛠️ Learn how to build a VSS code extension for an AI assistant using Deep Seek R1 to eliminate expensive subscriptions.
🌟 🌟 Create a custom cursor style editor in VS Code using an official starter template to leverage the VS Code API for personalization.
🚀 🚀 Test and debug your VS Code extension effectively, utilizing the debugger and integrating the DeepSeek AI model with the Olama tool.
🖥️ 🖥️ Run Olama locally and integrate it with TypeScript, creating a web view panel for a user-friendly chat interface.
🖥️ 🖥️ Use the ES6 String HTML extension in VS Code to enhance JavaScript coding efficiency, especially for chat application interfaces.
🚀 🚀 Successfully build a Chinese AI-powered IDE that allows users to chat and get instant coding solutions from the AI assistant.
🤖 🤖 Integrate Olama's REST API for seamless interaction with open-source AI models and improve your development workflow.
💻 💻 Capture user input through events and manage asynchronous responses from the AI model for enhanced user experience.

Q&A

Can I upgrade my AI-powered IDE for more features? 💳
Yes, there is an opportunity to upgrade to a pro membership that grants access to additional courses and more advanced features, enhancing your experience and capabilities within the AI-powered IDE.
How do I interact with the AI model in my IDE? 🤖
To interact with the AI model in your IDE, set up an event listener for incoming messages and display AI responses in the UI. You can use a debugger to test the interaction and ensure the AI provides quick and relevant answers to coding queries.
What is the ES6 String HTML extension in VS Code? ✨
The ES6 String HTML extension helps improve coding efficiency by providing enhanced syntax highlighting for JavaScript files. It allows developers to manage user input efficiently and stream responses from AI models within the chat interface.
How do I use the Olama tool? 🛠️
Olama can be run locally by executing its command in the terminal to download the AI model. It supports TypeScript integration, which can be installed via npm, and allows the creation of a web view panel for seamless interaction with the AI assistant.
What are the steps for testing and debugging a VS Code extension? 🔍
To test and debug your VS Code extension, use the built-in debugger. Launch the extension in a new VS Code window and interact with it. You can also integrate the Olama tool to incorporate and manage AI models during your debugging process.
How do I create a custom cursor style editor in VS Code? 🎨
To create a custom cursor style editor in VS Code, generate a project using the official starter template. You will have a TypeScript template and an 'extension.ts' file to work with. The VS Code API can then be accessed to customize cursor features and extend the functionality of the editor.
What is Deep Seek R1? 🧠
Deep Seek R1 is a low-cost open-source reasoning model that allows developers to create efficient AI assistants. It provides functionalities not only for code-related tasks but also for more general AI interactions.
How can I run my AI assistant locally? 💻
You can run the Deep Seek R1 model locally by downloading it and utilizing your machine’s resources instead of relying on subscription-based AI models. This setup enhances privacy and reduces costs associated with using online AI services.
What is a VSS code extension? 🤔
A VSS code extension is a tool that enhances the functionality of Visual Studio Code (VS Code), allowing developers to add custom features or integrations, such as an AI assistant. This particular video focuses on building such an extension powered by the Deep Seek R1 AI model.

00:00 Learn how to build a VSS code extension for an AI assistant powered by Deep Seek R1, allowing you to run it locally and ditch costly subscriptions! 🛠️
01:04 Creating a custom cursor style editor in VS Code involves generating a project using an official starter template, which helps you utilize the VS Code API for customization. 🌟
02:18 🚀 This segment discusses how to test and debug a VS Code extension after building it, highlighting the use of the debugger and introducing the integration of the DeepSeek AI model via the Olama tool for running open-source AI models.
03:26 Learn how to run Olama locally and integrate it with TypeScript using a web view panel for a seamless chat interface. 🖥️
04:35 This segment explains how to use the ES6 String HTML extension in VS Code to interact with JavaScript and improve coding efficiency, specifically for handling user input in a chat application interface. 🖥️
05:53 🚀 You successfully built a Chinese AI-powered IDE and can test it by chatting with the AI to get quick responses for coding questions.

Install Chrome extension

Build an AI Assistant in VS Code: Ditch Subscriptions with Deep Seek R1

Install Chrome extension

Summaries → Science & Technology → Build an AI Assistant in VS Code: Ditch Subscriptions with Deep Seek R1