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VAIBE_Coding

V(AI)BE Coding for Data Science

Instructor: Dr. Tue Vu (tuev@smu.edu)

Vibe Coding

  • AI-assisted software development technique that helps user to code from prompt
  • Introduced by Andrej Karpathy in 02/2025, a Director of AI and Autopilot vision at Tesla, also cofounder of AI research group at OpenAI

Goal:


1. Download and setup (3 min):

$ C:\ProgramData\miniconda3\Scripts\conda.exe init powershell

2. Introduce VSCode Integrated Development Environment (IDE) GUI (2 min)

  • File/Open Folder, default to Documents
  • Open Terminal
image
  • In the terminal, Clone the material from github:
$ git clone https://github.com/vuminhtue/VAIBE_Coding.git
$ cd VAIBE_Coding

3. Install conda environment (3 min)

  • In terminal:
$ conda create -n ds1 python=3.10 -y
$ conda activate ds1
$ pip install -r requirements.txt

4. Run the Prompt (5 min)

  • In VSCode, open Folder VAIBE_Coding that you just clone and start VAIBE Coding using given csv file
  • Use the AmesHousing.csv as the tabular data used for this Data Science workflow
  • Click on Prompt.txt and start chatting, for example, if you want to have a better prompt before apply Vibe coding:
From the prompt, create a comprehensive prompt for me

5. Create AI report (2 min)


  • The prompt also has option to create AI report in Latex format.
  • The report in separate chapters are saved in report folder
  • Once the main.tex created, we can convert that to pdf using pdflatex:
$ pdflatex report/main.tex

Note: if you do not have pdflatex installed, you can do that for your system:

  • Window: Download the installer from miktex.org/download
  • MacOS: Download the MacTeX.pkg installer from tug.org/mactex

Recording:

  • The recording below is for Cursor, it is the same as using VSCode:

https://www.youtube.com/watch?v=bVye4ZYCblM

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