Cursor vs Jupyter

The AI sidekick that makes you feel like a coding wizard, until it hallucinates your entire codebase meets the notebook that made data scientists feel like artists, until they tried to version control it. Here's our take.

Cursor

Nice Pick

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

Jupyter

The notebook that made data scientists feel like artists, until they tried to version control it.

Pros

• Interactive notebooks perfect for exploratory data analysis and teaching
• Supports over 40 languages, making it versatile for multi-language projects
• Rich output with live code, visualizations, and markdown in one document

Cons

• Notoriously messy for version control and collaboration due to JSON-based files
• Can become sluggish with large datasets or complex visualizations

The Verdict

Use Cursor if: You want full codebase context and can live with $20/month.

Use Jupyter if: You prioritize interactive notebooks perfect for exploratory data analysis and teaching over what Cursor offers.

The Bottom Line

Cursor wins

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