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What are the BEST AI Tools for Visual Studio Code in 2025?

· 3 min read
Cloud & AI Engineering
Arina Technologies
Cloud & AI Engineering

AI coding tools in Visual Studio Code are revolutionizing how developers write, debug, and learn to code.
This blog breaks down the top extensions—how to install, use, and compare them to supercharge productivity in 2025.



🧠 Why Use AI in VS Code?

  1. Automate repetitive tasks
  2. Speed up debugging and code generation
  3. Get smart suggestions and explanations
  4. Improve documentation and refactoring
  5. Learn faster with in-context help

🔧 Top AI Extensions in VS Code

🔹 GitHub Copilot

  • Inline autocompletion and suggestions
  • Real-time code generation from comments
  • Multi-language support
  • Ideal for Python, JavaScript, HTML, and SQL

🔹 AWS Q (earlier CodeWhisperer)

  • Best for cloud-native developers on AWS
  • Integrated with AWS Toolkit
  • Suggests secure, context-aware completions
  • Built-in security scan

🔹 ChatGPT Extension

  • Ask ChatGPT directly inside VS Code
  • Explain code blocks, optimize code, generate functions
  • Great for learning and documentation
  • Requires OpenAI API key

🔹 Codeium

  • Free and fast Copilot alternative
  • Supports 70+ languages
  • Works with minimal setup
  • Great for students and individuals

🔹 Tabnine

  • AI-powered completions that improve with your codebase
  • Supports private on-prem server (for enterprises)
  • Offers offline mode

📊 Comparing the Top Tools

FeatureGitHub CopilotAWS QChatGPTCodeiumTabnine
Autocomplete⚠️ (Q&A)
Comment-to-Code
Security Scan✅ (Pro)
Offline Mode
Cloud Native✅ (AWS)
Free Tier✅ (limited)✅ (API key)✅ (limited)

🎁 Bonus AI Tools & Tips

  • AutoDocstring – Generate Python docstrings instantly
  • AI README Generator – Build README.md quickly
  • Prompt Engineering in VS Code – Write better prompts for consistent output
  • GitHub Copilot Labs – Experimental tools like code brushes

📌 Final Thoughts

  • Beginners may prefer ChatGPT for learning.
  • Cloud-native devs should use AWS Q.
  • Privacy-conscious teams: Tabnine or Codeium.
  • Daily devs: GitHub Copilot for best context.

🎯 Try a few tools, mix & match, and find your perfect coding assistant.


🔚 Call to Action

Choosing the right AI assistant depends on your team’s workflow.

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👉 Or reach out on our contact page if you’d like help modernizing your dev environment.

💬 Comment below:
Which tool is your favorite? What should we review next?