How to optimize your AI token usage
A new tool called repo-brain has been released, designed to optimize AI token usage by compressing codebases. It achieves a significant reduction in token count, compressing a 262-file repository from 154,229 tokens to just 6,487 tokens. The tool supports various programming languages and provides multi-provider support for different AI models.
- ▪Repo-brain compresses entire codebases into a single markdown context file for efficient AI interaction.
- ▪The tool achieved a 96% compression rate on a 262-file repository.
- ▪It supports multiple programming languages and AI providers, making it versatile for developers.
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KrishivPiduri / repo-brain Public Notifications You must be signed in to change notification settings Fork 0 Star 0 Code Issues 0 Pull requests 0 Actions Projects Security and quality 0 Insights Additional navigation options Code Issues Pull requests Actions Projects Security and quality Insights Releases v1.0.0 repo-brain v1.0.0 Latest Latest Compare Choose a tag to compare Sorry, something went wrong. Filter Loading Sorry, something went wrong. Uh oh! There was an error while loading. Please reload this page. No results found View all tags KrishivPiduri released this 28 May 15:11 v1.0.0 b8552d4 Compress an entire codebase into a single markdown context file. Feed it to any LLM once instead of re-reading your repo every conversation.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.