We asked 4 AI models to recommend the AI coding assistant best practices. Here's what GPT-4.1, Gemini, Grok, and Llama agree on.
🏆 AI Consensus Winner: GitHub Copilot — recommended by 3/4 models
🟡 AI Confidence: MEDIUM
AI Consensus
These products were recommended by multiple AI models:
- GitHub Copilot
- Amazon CodeWhisperer
- TabNine
- Kite
What Each AI Recommends
| Rank | GPT-4.1 | Gemini | Grok | Llama |
|---|---|---|---|---|
| 1 | GitHub Copilot | GitHub Copilot | GitHub Copilot | Kite |
| 2 | Amazon CodeWhisperer | Tabnine | Cursor | TabNine |
| 3 | TabNine | Amazon CodeWhisperer | Codeium | GitHub Copilot |
| 4 | Kite | Google Bard (for code generation) | Tabnine | IntelliCode |
| 5 | Sourcery | OpenAI Codex (for API integration) | Amazon Q Developer | Codex |
Best For Your Needs
- Best overall: GitHub Copilot
- Best free option: GitHub Copilot
- Best for small teams: Cursor
- Best for enterprises: GitHub Copilot
Methodology
We asked each AI model: "What are the Ai Coding Assistant 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.