llmcoder

Write a comment. Get working R code. Instantly.

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llmcoder is an RStudio addin that integrates large language model (LLM) assistance directly into your coding workflow. Write a # comment, press a shortcut, and receive working R code below — no browser, no copy-pasting. It also auto-fixes console errors and explains selected code as inline comments.

How to install llmcoder?

# From CRAN
install.packages("llmcoder")

# Development version (GitHub)
remotes::install_github("ShiyangZheng/llmcoder")

How to use it?

Quick setup

library(llmcoder)

# OpenAI
llmcoder_setup("openai", api_key = Sys.getenv("OPENAI_API_KEY"))

# Anthropic Claude
llmcoder_setup("anthropic", api_key = Sys.getenv("ANTHROPIC_API_KEY"))

# DeepSeek — very cheap, great code quality
llmcoder_setup("deepseek", api_key = Sys.getenv("DEEPSEEK_API_KEY"))

# Groq — ultra-fast open-model inference
llmcoder_setup("groq", api_key = Sys.getenv("GROQ_API_KEY"))

# Ollama — fully local, no API key needed
llmcoder_setup("ollama", model = "qwen2.5-coder:7b")

# OpenRouter — unified gateway to 100+ models
llmcoder_setup("openrouter", api_key = Sys.getenv("OPENROUTER_API_KEY"),
               model = "anthropic/claude-3.5-sonnet")

# LM Studio or any OpenAI-compatible server
llmcoder_setup("custom", api_key = "lm-studio",
               model = "local-model", custom_url = "http://localhost:1234/v1")

Or configure via the GUI: Addins → LLMcoder Settings.

Key features

Generate code from a comment (Ctrl+Shift+G)

Place your cursor on a # comment line and trigger the addin:

library(tidyverse)
data <- read_csv("data/idiom_results.csv")

# fit a mixed model: RT ~ condition + (1|participant) + (1|item)

Generated and inserted below:

library(lme4)
model <- lmer(RT ~ condition + (1 | participant) + (1 | item),
              data = data, REML = TRUE)
summary(model)

Fix the last console error (Ctrl+Shift+F)

Run code → error in console → trigger this addin → review diff-style fix → click Apply Fix.

Explain selected code (Ctrl+Shift+E)

Select a code block → inline # explanations appear above it.

Generate with preview (Ctrl+Shift+P)

Same as code generation, but opens an editable dialog before inserting.

Supported providers

Provider	Default model	Notes
openai	gpt-4o-mini	platform.openai.com
anthropic	claude-sonnet-4-20250514	console.anthropic.com
deepseek	deepseek-chat	Very cheap, strong code
groq	llama-3.3-70b-versatile	Extremely fast inference
together	meta-llama/Llama-3-70b-chat-hf	Wide open-source model choice
openrouter	openai/gpt-4o-mini	100+ models, one key
ollama	llama3	Fully local, no API key
custom	(must specify)	LM Studio, vLLM, llama.cpp, …

Ollama quick start:

# macOS / Linux
curl -fsSL https://ollama.com/install.sh | sh
ollama pull qwen2.5-coder:7b
ollama serve          # keep running in the background

llmcoder_setup("ollama", model = "qwen2.5-coder:7b")
ollama_list_models()  # list all installed models

Keyboard shortcuts

Bind in Tools → Modify Keyboard Shortcuts → search "llmcoder".

Addin	Windows / Linux	macOS
Generate Code from Comment	Ctrl+Shift+G	Cmd+Shift+G
Generate Code (with Preview)	Ctrl+Shift+P	Cmd+Shift+P
Fix Last Console Error	Ctrl+Shift+F	Cmd+Shift+F
Explain Selected Code	Ctrl+Shift+E	Cmd+Shift+E

Context awareness

The addin sends the 40 lines above your comment as context (configurable), so the model can infer variable names, match your code style, and avoid re-importing packages already loaded.

llmcoder_setup("openai", api_key = "...", context_lines = 20L)

Security

API keys written to ~/.Rprofile are plaintext. Use ~/.Renviron for better security:

OPENAI_API_KEY=sk-...

Then: llmcoder_setup("openai", api_key = Sys.getenv("OPENAI_API_KEY"))

Citation info

citation("llmcoder")

Zheng, S. (2026). llmcoder: LLM-Powered Code Generation and Error Fixing for RStudio. R package version 1.0.0. https://github.com/ShiyangZheng/llmcoder

License

MIT © Shiyang Zheng