10 tips for getting better R code from your AI coding agent
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AI coding agents like Claude Code, Codex, and Posit Assistant tend to underperform with R compared to Python or JavaScript due to less training data. Ten practical tips help R users get better results: use a dedicated coding agent over a chatbot, set up knowledge files (CLAUDE.md, AGENTS.md), leverage agent skills for R-specific workflows, use the btw R package with its MCP server to give agents access to your local R environment, enable plan mode before coding, save lessons learned from mistakes, have agents write tests and do code reviews, apply good prompting habits, and consider open-weight local LLMs to manage token budgets. Posit Assistant is highlighted as a purpose-built option for R/Python data work with less setup required.
