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.
Git Context Builder
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.
How to use Git Context Builder
- Enter a supported GitHub or Hugging Face repository URL.
- Review the file tree and select the files relevant to your task.
- Preview and export the assembled context for your AI tool.
Example: Select a README and a small source folder to explain a feature without exporting an entire repository.
Before you use the result: Repository content is fetched from external services, which may impose rate limits. Token counts are estimates; inspect exported files for secrets before sharing them.
Common questions
Will it upload my entire repository?
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.
Is this only for LLM prompts?
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.
Can it help with AI pair programming?
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.
Does it estimate tokens before export?
Yes. Token estimates help you stay within model context limits while deciding which files to keep, trim, or exclude before generating the final bundle.
Is the Git Context Builder free?
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.