Agentic Coding Tools
for Researchers
A practical introduction to agentic coding
for empirical research.
Justin Frake · Ross School of Business, University of Michigan
1–4 June 2026 (Mon–Thu) · 10:00–15:00 ET
Agentic coding tools operate directly in your codebase, execute multi-step tasks, and maintain context across a project. Researchers can use them for ideation, downloading and cleaning data, running analyses, drafting papers, and many other tasks that make up the daily work of empirical research. This four-day workshop introduces the leading agentic coding tools, what makes them distinct from conversational AI, how to set up a working environment with configuration files like CLAUDE.md and agents.md, how to extend them with plugins and custom skills, and how to work with them responsibly: breaking research tasks into structured plans, validating those plans before execution, and writing tests that verify agent output. Participants apply what they learn to projects using real data and tasks drawn from empirical social science.
Schedule at a glance
Registration
This cohort is full. Join the mailing list below for announcements about future cohorts.
Instructor

Justin Frake is Assistant Professor of Strategy at the University of Michigan’s Ross School of Business, an Associate Editor at Management Science, and a Senior Editor at Organization Science. He studies how individual perceptions and behaviors produce organizational outcomes; his research topics include strategic human capital, misconduct, and causal inference.
Mailing list
Practical tips for using agentic coding in research workflows. New skills and plugins worth installing, prompts I keep reaching for, workflow patterns I’ve found useful, and announcements when the next workshop opens. Infrequent. Unsubscribe any time.