---
title: "Vibe coding (Andrej Karpathy) in Jupyter with Mito-AI - the Cursor for data scientists. My top 8 Tips"
slug: vibe_coding_andrej_karpahty_mito_ai
date_published: 2025-02-25T13:43:37.304Z
original_url: https://www.tigzig.com/post/vibe_coding_andrej_karpahty_mito_ai
source: migrated
processed_at: 2025-12-02T10:00:00.000Z
---

# Vibe coding (Andrej Karpathy) in Jupyter with Mito-AI - the Cursor for data scientists. My top 8 Tips

Mito-AI: In the same league as Cursor, Flowise, Lovable, n8n - a powerful and well designed tool. A few weeks of vibe coding with Mito-AI in Jupyter, and I'm hooked.

## Efficiency Boost

Smooth UI/UX and fast responses. No more copy-pasting code or tabbing through windows - used to break the flow. Cursor like experience. Still a Colab fan, but now defaulting to Mito-AI.

## Vibe Coding - Andrej Karpathy on X. Excerpts:

"There's a new kind of coding I call 'vibe coding'… I barely touch the keyboard, just talk to Composer with SuperWhisper… I accept all suggestions… Copy-paste errors, usually that fixes it… I just see stuff, say stuff, run stuff, and it mostly works."

Full post here : Andrej Karpathy on X: ["There's a new kind of coding I call "vibe coding""](https://x.com/karpathy/status/1886192184808149383?lang=en)

## My top tips for using Mito-AI Copilot

1. **Use vibe (voice) coding** - Win + H (Cmd + H for Macs). If it's not working, go to Settings → Voice Activation Privacy → Turn on access.

2. **One chunk at a time** - avoid having it do too many things in one prompt. Much faster overall.

3. **No need to copy-paste sample data** - Mito-AI auto-detects dataframe schemas.

4. **Refer to previous messages** - has full conversation history. e.g: "You know you did that date extraction from that zip file name… do the same thing for this CSV."

5. **Install with or without Mitosheet** - `pip install mito-ai mitosheet` adds a nice visual spreadsheet view…but works without Mitosheet also. Try both. I like with Mitosheet.

6. **Open Source / Pricing** - Free tier (500 messages/month). Premium ($20/month) for unlimited completions + premium models + greater functionality. OR use the base version on an open-source basis with your API key - using this now. If usage increases, I'll move to premium.

7. **Setting API key** –

   * Session level (PowerShell): command: `$env:OPENAI_API_KEY = "sk-proj…your-open-ai-key"` … then start notebook from SAME terminal (command: `jupyter-notebook`)

8. **Modeling - analysis - automation: validations critical** - Need to ask the right questions, validate results, sometimes check the code. Best part - tools like Mito-AI & Cursor make this super-efficient too.

## Video

* 11-min walkthrough

## Video Time Stamps

* 00:00 - Start
* 00:08 - Activating Voice Mode & PIP Installs
* 01:02 - Basic usage - import / transform & Mito AI schema memory
* 04:06 - Example - prompting for EDA / Model Build
* 06:48 - Example - connecting to database
* 08:23 - Updating OPENAI_API_KEY - environment variable - 2 methods