What repositories can I use?
You can pull from popular Git hosts like GitHub and Hugging Face, then filter down to the files and folders you want included in an LLM prompt or review bundle.
Turn GitHub and Hugging Face repositories into LLM-ready context. Cherry-pick files, apply smart filters, estimate tokens, and export curated code bundles for AI pair programming.
Useful for: github, huggingface, git, llm context, prompt builder, code curation, ai pair programming, repository export.
You can pull from popular Git hosts like GitHub and Hugging Face, then filter down to the files and folders you want included in an LLM prompt or review bundle.
You control what gets included through filters and selections so exports stay focused. The goal is curated context, not dumping every file into a model window.
The export is optimized for LLM-ready context, but the curated bundle is also useful for documentation handoffs, architecture reviews, and preparing focused code excerpts.
Yes. Developers use it to assemble the exact source files an assistant needs—APIs, configs, and hot paths—without pasting an entire monorepo into the chat.
Yes. Token estimates help you stay within model context limits while deciding which files to keep, trim, or exclude before generating the final bundle.
Yes. It is a free browser tool for building repository context. Public API rate limits or private-repo access rules from GitHub or Hugging Face still apply when fetching remote trees.