Good Vibrations: Vibe Coding (with LLMs) Done Right

With the broad public release of Large Language Models (LLMs) in the past few years, writing code by explaining tasks in plain English, popularly known as "vibe coding", has exploded in popularity. Anyone can dive right in, but if you want to make your code robust and quickly usable, there are many tips and tricks for effectively using LLMs. In this workshop, a broad overview of LLMs in the context of coding will be presented including, but not limited to, ChatGPT, Claude Code, Google Gemini, GitHub Copilot, and Microsoft Copilot. We will also differentiate between those tools you may want to use for personal work versus those approved for use with University data.

[Optional] You may request access to GitHub Copilot before this session; if your research work would benefit from GitHub Copilot then make a request to Research Computing by writing to cses@princeton.edu with your answers to the following two questions:

1. In brief, how do you plan to use Copilot in your research?
2. Please provide an estimate (a concise description) of how critical this capability is for your work.

Knowledge prerequisites: Basic knowledge of a programming language like Python 

Hardware/software prerequisites: None

Workshop format: Demonstration

Target audience: Students, researchers, faculty, staff

See the Research Computing training schedule or subscribe to the Research Computing mailing list.

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Co-hosted with: GradFUTURES

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