AI-Assisted coding for research
This is a new and very experimental workshop. Lesson materials are being actively developed and may change!
This hands-on three half-day workshop covers AI-assisted coding techniques with an emphasis on research data analysis, reproducibility, and best practices of Open Science. Learners will use real-world scenarios to explore concepts and capabilities of coding agents and other LLM-based techniques. Workshop activities touch on many aspects of the research lifecycle: from data discovery and access, to visualization and publication.
This is an experimental workshop covering a very new and rapidly evolving landscape. Coding agent sandboxes and LLM API access will be provided to participants. As a prerequisite, learners should have familiarity with a programming language.
Schedule
| Day | Topics |
|---|---|
| Day 1 | Introduction Getting Started with an Agent Planning Mode |
| Day 2 | Review Project structure & AGENTS.md Workflows Project work and report out |
| Day 3 | Review Sharing / publishing Agents Skills Project work and report out |
Contributors
- Julien Brun
- Seth Erickson
- Jon Jablonski
- Li Kui
- Jairo Melo-Flórez
- Jose Nino Muriel