Python vibe coding is a way of programming where you talk to an AI instead of writing all the code yourself. This technique, coined by Andrej Karpathy in 2025, involves describing what you want in plain language and letting the AI write the code for you.
To get started with vibe coding in Python, there are several tools available that can help you generate code quickly and efficiently. One popular tool is GitHub Copilot, an AI assistant that lives inside your code editor and suggests complete functions, snippets or tests based on simple descriptions. Another helpful tool is Cursor, a version of VS Code that comes with a built-in AI assistant, which can edit, refactor or explain your code.
For those who prefer a local experience, Open Interpreter is a local, open source AI assistant that acts like a terminal-savvy coding buddy. It can run commands, generate scripts and help automate tasks directly from your machine. To use it, simply type a plain English request in the interface and the AI will respond with generated code.
For those working with Jupyter notebooks, there are also AI notebook tools available that turn natural language prompts into code cells. These tools can quickly generate data analysis or visualization code, explore datasets interactively, and teach or learn with instant code examples.
To get the most out of vibe coding with Python, follow these tips: be specific with your prompt, break big steps into smaller parts, don’t assume everything is perfect, practice, and test your code. With the right tools and techniques, you can speed up development and keep your focus on building cool stuff.
Source: https://thenewstack.io/python-vibe-coding-tools