Skip to content

Commit 4b5b5da

Browse files
committed
docs(notes): add 2025-03-21-vscode-ai-plugin-en.md
1 parent d9eca6f commit 4b5b5da

File tree

1 file changed

+67
-0
lines changed

1 file changed

+67
-0
lines changed
+67
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,67 @@
1+
---
2+
title: "Best AI Plugins for VS Code (2025)"
3+
lang: en
4+
layout: post
5+
audio: false
6+
translated: false
7+
generated: true
8+
---
9+
10+
As of March 20, 2025, determining the "best" AI plugin for Visual Studio Code (VS Code) depends on your specific needs, such as code completion, debugging, test generation, or chat-based assistance. Based on the latest trends and available information, here are some of the top AI-powered VS Code extensions widely regarded for their capabilities, along with their key features:
11+
12+
1. **GitHub Copilot**
13+
- **Why It's Great**: Developed by GitHub in collaboration with OpenAI, GitHub Copilot is often considered the gold standard for AI-assisted coding. It acts as an "AI pair programmer," offering real-time code suggestions, autocompletion, and even generating entire functions based on comments or context.
14+
- **Key Features**:
15+
- Inline coding suggestions as you type.
16+
- Supports a wide range of languages (e.g., Python, JavaScript, TypeScript, C#, etc.).
17+
- Chat functionality (via GitHub Copilot Chat) for conversational assistance.
18+
- **Pros**: Highly accurate, integrates seamlessly with VS Code, and excels with popular languages and frameworks.
19+
- **Cons**: Requires a subscription ($10/month after a trial), which might not suit everyone.
20+
- **Best For**: Developers wanting a robust, all-in-one AI coding companion.
21+
22+
2. **Codeium**
23+
- **Why It's Great**: Codeium is a free alternative to GitHub Copilot, offering similar AI-powered code completion and chat features. It’s gained popularity for its accessibility and performance.
24+
- **Key Features**:
25+
- Autocompletion for over 70 programming languages.
26+
- Chat interface for code generation and explanations.
27+
- Works across multiple IDEs, including VS Code.
28+
- **Pros**: Free for individual use, lightweight, and versatile.
29+
- **Cons**: May not match Copilot’s depth of training or team collaboration features.
30+
- **Best For**: Budget-conscious developers or those exploring free AI tools.
31+
32+
3. **Tabnine**
33+
- **Why It's Great**: Tabnine uses machine learning to provide context-aware code completions, learning from your codebase and coding patterns over time.
34+
- **Key Features**:
35+
- Supports 80+ languages and frameworks.
36+
- Offers AI chat for code-related queries.
37+
- Customizable for team-specific workflows.
38+
- **Pros**: Strong focus on privacy (can run locally), adapts to your style, and has a free tier.
39+
- **Cons**: Advanced features require a paid plan, and it may be less intuitive for beginners.
40+
- **Best For**: Teams or individuals needing privacy-focused, customizable AI assistance.
41+
42+
4. **Visual Studio IntelliCode**
43+
- **Why It's Great**: Developed by Microsoft, IntelliCode enhances VS Code’s built-in IntelliSense with AI-driven suggestions, prioritizing completions based on your code context.
44+
- **Key Features**:
45+
- Context-aware code completions ranked by relevance.
46+
- Trained on thousands of open-source GitHub repositories.
47+
- Supports languages like Python, TypeScript/JavaScript, and Java.
48+
- **Pros**: Free, lightweight, and tightly integrated with VS Code.
49+
- **Cons**: Less feature-rich compared to Copilot or Codeium (e.g., no chat functionality).
50+
- **Best For**: Developers who want a simple, no-cost AI boost to IntelliSense.
51+
52+
5. **Cline (formerly Continue)**
53+
- **Why It's Great**: Cline is an emerging favorite for its unique "plan-then-act" approach, allowing you to strategize with the AI before it generates code. It’s highly customizable and supports multiple LLMs.
54+
- **Key Features**:
55+
- Plan mode to outline coding steps, followed by act mode to implement.
56+
- Integrates with models like GPT-4, Gemini, or local LLMs via Ollama.
57+
- Tracks token usage and costs for transparency.
58+
- **Pros**: Free and open-source, great for deliberate coding workflows.
59+
- **Cons**: Requires more setup (e.g., API keys or local models), less plug-and-play than Copilot.
60+
- **Best For**: Developers who prefer control and transparency in AI interactions.
61+
62+
### Recommendation
63+
- **If you want the most powerful, seamless experience and don’t mind paying**: Go with **GitHub Copilot**. It’s the most polished and widely adopted option.
64+
- **If you need a free, capable alternative**: **Codeium** is an excellent choice for its balance of features and cost.
65+
- **If you prioritize customization or local execution**: **Cline** or **Tabnine** might suit you best.
66+
67+
Ultimately, the "best" plugin depends on your workflow. For general coding productivity, GitHub Copilot and Codeium are the most frequently praised in 2025. I’d suggest trying a couple (starting with Codeium since it’s free) to see which aligns with your needs!

0 commit comments

Comments
 (0)