We asked 4 AI models to recommend the AI IDE best practices. Here's what GPT-4.1, Gemini, Grok, and Llama agree on.
🏆 AI Consensus Winner: Visual Studio Code — recommended by 1/4 models
🔴 AI Confidence: LOW — no clear winner
AI Consensus
These products were recommended by multiple AI models:
- Visual Studio Code
- Jupyter Notebook
- Google Colab
What Each AI Recommends
| Rank | GPT-4.1 | Gemini | Grok | Llama |
|---|---|---|---|---|
| 1 | Visual Studio Code | VS Code with AI extensions | Cursor | TensorFlow |
| 2 | PyCharm | JupyterLab | GitHub Copilot | PyTorch |
| 3 | Jupyter Notebook | PyCharm Professional | Codeium | Jupyter Notebook |
| 4 | Google Colab | Google Colaboratory | Tabnine | Visual Studio Code |
| 5 | Eclipse IDE | DataSpell | JetBrains AI Assistant | Google Colab |
Best For Your Needs
- Best overall: Visual Studio Code
- Best free option: Cursor
- Best for small teams: Cursor
- Best for enterprises: Visual Studio Code
Methodology
We asked each AI model: "What are the Ai Ide Best Practices? List your top 5 recommendations."
Models used: GPT-4.1 Nano (OpenAI), Gemini 2.5 Flash (Google), Grok 4.1 Fast (xAI), Llama 4 Scout (Meta). No web search was enabled — these are pure AI opinions based on training data.
The "AI Consensus" shows products mentioned by 2 or more models. The winner is the product that appears most frequently in the #1 position.