Dynamic

Cody vs Cursor

Sourcegraph's AI meets the ai sidekick that makes you feel like a coding wizard, until it hallucinates your entire codebase. Here's our take.

🧊Nice Pick

Cody

Sourcegraph's AI. Good codebase search, not as polished.

Cody

Nice Pick

Sourcegraph's AI. Good codebase search, not as polished.

Pros

  • +Codebase search
  • +Enterprise-ready
  • +Self-hosted option

Cons

  • -Less refined
  • -Smaller community
  • -Fewer features

Cursor

The AI sidekick that makes you feel like a coding wizard, until it hallucinates your entire codebase.

Pros

  • +Full codebase context
  • +Multi-file edits
  • +Built on VS Code
  • +Claude/GPT-4 support
  • +Seamless AI integration for code generation and refactoring
  • +Built on VS Code, so it feels familiar with a modern twist
  • +Natural language queries that actually understand your code context

Cons

  • -$20/month
  • -Can be slow
  • -Learning curve
  • -AI suggestions can be confidently wrong, leading to debugging nightmares
  • -Requires a stable internet connection, so offline coding is a no-go

The Verdict

These tools serve different purposes. Cody is a ai coding tools while Cursor is a devtools. We picked Cody based on overall popularity, but your choice depends on what you're building.

🧊
The Bottom Line
Cody wins

Based on overall popularity. Cody is more widely used, but Cursor excels in its own space.

Disagree with our pick? nice@nicepick.dev