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 PickSourcegraph'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