I built a DeepSeek R1 powered VS Code extension…

Fireship · Beginner ·🧠 Large Language Models ·1y ago

Key Takeaways

The video demonstrates building a VS Code extension from scratch, integrating DeepSeek R1 to create a custom AI assistant, using the VS Code Extension Template and Ollama DeepSeek R1 library.

Original Description

Learn how to build a VS Code Extension from scratch. In this fun tutorial, we integrate DeepSeek R1 direction into our editor to build a custom AI assistant. Go Deeper https://fireship.io/courses Related Content: VS Code Extension Template https://code.visualstudio.com/api/get-started/your-first-extension Ollama DeepSeek R1 https://ollama.com/library/deepseek-r1 DeepSeek R1 First Look https://youtu.be/-2k1rcRzsLA DeepSeek Fallout https://youtu.be/Nl7aCUsWykg
Watch on YouTube ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Playlist

Uploads from Beyond Fireship · Beyond Fireship · 42 of 42

← Previous Next →
1 Social Media Style Number Formatting in JS
Social Media Style Number Formatting in JS
Beyond Fireship
 2 I used 3 different File System APIs in Node.js
I used 3 different File System APIs in Node.js
Beyond Fireship
 3 Time is Relative, even in JavaScript
Time is Relative, even in JavaScript
Beyond Fireship
 4 How to NOT Screw Up Firebase Environment Variables
How to NOT Screw Up Firebase Environment Variables
Beyond Fireship
 5 How to make your JavaScript Bundle Smaller
How to make your JavaScript Bundle Smaller
Beyond Fireship
 6 Subtle, yet Beautiful Scroll Animations
Subtle, yet Beautiful Scroll Animations
Beyond Fireship
 7 Beyond Surreal? A closer look at NewSQL Relational Data
Beyond Surreal? A closer look at NewSQL Relational Data
Beyond Fireship
 8 How to Build a Discord Bot
How to Build a Discord Bot
Beyond Fireship
 9 How to make Eyeballs that Follow You Around
How to make Eyeballs that Follow You Around
Beyond Fireship
 10 Reverse Engineer Google’s NASA Dart Easter Egg with CSS
Reverse Engineer Google’s NASA Dart Easter Egg with CSS
Beyond Fireship
 11 Generate Images Programmatically on the Edge
Generate Images Programmatically on the Edge
Beyond Fireship
 12 WTF are all these config files for?
WTF are all these config files for?
Beyond Fireship
 13 NEW Firebase Features Just Dropped
NEW Firebase Features Just Dropped
Beyond Fireship
 14 Next.js 13 - The Basics
Next.js 13 - The Basics
Beyond Fireship
 15 Make Crazy Art with the NEW OpenAI Dall-e API
Make Crazy Art with the NEW OpenAI Dall-e API
Beyond Fireship
 16 How to Setup Node.js with TypeScript in 2023
How to Setup Node.js with TypeScript in 2023
Beyond Fireship
 17 Dramatically improve website speed with Partytown
Dramatically improve website speed with Partytown
Beyond Fireship
 18 The easiest realtime app I’ve ever built
The easiest realtime app I’ve ever built
Beyond Fireship
 19 10 Rendering Patterns for Web Apps
10 Rendering Patterns for Web Apps
Beyond Fireship
 20 You don't need Node to use NPM packages
You don't need Node to use NPM packages
Beyond Fireship
 21 Sorting Algorithms Explained Visually
Sorting Algorithms Explained Visually
Beyond Fireship
 22 ChatGPT Official API First Look
ChatGPT Official API First Look
Beyond Fireship
 23 I built an image search engine
I built an image search engine
Beyond Fireship
 24 Industrial-scale Web Scraping with AI & Proxy Networks
Industrial-scale Web Scraping with AI & Proxy Networks
Beyond Fireship
 25 Next.js Server Actions... 5 awesome things you can do
Next.js Server Actions... 5 awesome things you can do
Beyond Fireship
 26 The ultimate guide to web performance
The ultimate guide to web performance
Beyond Fireship
 27 I built a fullstack PaLM AI app in just 2 minutes
I built a fullstack PaLM AI app in just 2 minutes
Beyond Fireship
 28 I tried 8 different Postgres ORMs
I tried 8 different Postgres ORMs
Fireship
 29 I built a *streaming* AI chat app
I built a *streaming* AI chat app
Fireship
 30 React VS Svelte...10 Examples
React VS Svelte...10 Examples
Fireship
 31 How GitHub Actions 10x my productivity
How GitHub Actions 10x my productivity
Fireship
 32 PROOF JavaScript is a Multi-Threaded language
PROOF JavaScript is a Multi-Threaded language
Fireship
 33 Mind-blowing page animations are easy now... View Transitions API first look
Mind-blowing page animations are easy now... View Transitions API first look
Fireship
 34 I built an Apple Vision Pro app... visionOS tutorial
I built an Apple Vision Pro app... visionOS tutorial
Fireship
 35 This UI component library is mind-blowing
This UI component library is mind-blowing
Fireship
 36 How I deploy serverless containers for free
How I deploy serverless containers for free
Fireship
 37 GitHub Copilot now controls your command line...
GitHub Copilot now controls your command line...
Fireship
 38 Build better payment forms using new “embedded” Stripe Checkout
Build better payment forms using new “embedded” Stripe Checkout
Fireship
 39 Does Deno 2 really uncomplicate JavaScript?
Does Deno 2 really uncomplicate JavaScript?
Fireship
 40 JavaScript performance is weird... Write scientifically faster code with benchmarking
JavaScript performance is weird... Write scientifically faster code with benchmarking
Fireship
 41 Is Next.js 15 any good? "use cache" API first look
Is Next.js 15 any good? "use cache" API first look
Beyond Fireship
 ▶ I built a DeepSeek R1 powered VS Code extension…
I built a DeepSeek R1 powered VS Code extension…
Fireship

Learn to build a VS Code extension from scratch and integrate DeepSeek R1 to create a custom AI assistant, enhancing your coding experience with AI-powered features.

Key Takeaways
  1. Create a new VS Code extension project using the template
  2. Install the Ollama DeepSeek R1 library
  3. Integrate DeepSeek R1 into the VS Code extension
  4. Configure the AI assistant settings
  5. Test the custom AI assistant
💡 Integrating LLMs like DeepSeek R1 into VS Code can enhance the coding experience with AI-powered features.

Related AI Lessons

⚡
Building LSTMs with PyTorch and Lightning AI Part 7: Resuming Training with Checkpoints
Learn to resume LSTM training with checkpoints using PyTorch and Lightning AI, enabling efficient model iteration and development
Dev.to · Rijul Rajesh
 ⚡
How AI Learns with Less Labeled Data
Learn how AI can learn with less labeled data, a crucial aspect of machine learning beyond model selection
Medium · AI
 ⚡
Comparing Sarvam-30B and Qwen2.5–14B on Spider Text-to-SQL: An Active-Parameter Perspective
Learn how to compare large language models like Sarvam-30B and Qwen2.5-14B on the Spider Text-to-SQL benchmark from an active-parameter perspective
Medium · LLM
 ⚡
Debugging Benchmark: DeepSeek V4 Pro vs MiMo V2.5 Pro
Compare the debugging capabilities of DeepSeek V4 Pro and MiMo V2.5 Pro on a real-world GitHub bug
Dev.to · Stanislav
Up next
5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems
Dave Ebbelaar (LLM Eng)
Watch →