AI guides for academic economists
A short collection of practical guides for working with agentic AI on empirical research — Claude Code, Codex, and the surfaces around them — plus the slides from my workshop on using these tools day to day.
Where to start
If you're not sure which tool or surface fits your workflow, start with the overview. It is a five-minute tour of where these agents can run (VS Code, terminal, desktop, web, mobile) and which surface suits which task.
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Where to run agentic AI
Six surfaces, one decision — a short tour of VS Code, terminal, desktop apps, web, and mobile, with a cheat sheet for which one to pick for which task.
Hands-on guides
Walk-throughs for getting Claude Code or Codex set up in VS Code for empirical research — installation, recommended extensions, file-format handling, persistent project context, reusable workflows, and managing the context window.
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Claude Code in VS Code
Setting up and using Claude Code inside VS Code for R, Stata, Python, and LaTeX work. Covers
CLAUDE.md, skills, and the everyday research workflow. -
Codex in VS Code
The same ground for OpenAI's Codex — installation,
AGENTS.md, skills, approval modes, and cloud delegation. -
Codex vs Claude Code
A side-by-side look at how the two agents differ in everyday research use — project instructions, slash commands, permissions, and local-versus-cloud workflows.
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Linking VS Code and Overleaf
Sync your LaTeX papers through GitHub or Dropbox so you can edit locally with Claude Code or Codex while coauthors keep working in Overleaf.
Workshop slides
Slides from my workshops on agentic AI for researchers. The repository is updated as the tools change.
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AI Workshop Slides
Slide decks used in talks and workshops on integrating Claude Code, Codex, and related tools into an empirical research workflow.
Related
The resources page collects writing from other economists on AI-assisted research, plus the broader hidden curriculum on writing, presenting, and coding. I also write about AI, coding, research, and housing on Substack.