RepoPrep converts your project folder or repo into a single AI-ready context file for tools like Claude, ChatGPT, or Gemini. It automatically filters out noise such as node_modules, lock files, build outputs, and binaries, leaving only relevant source code. Everything runs entirely in the browser β your code never leaves your machine.
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Maker
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Hey Product Hunt π
I built RepoPrep after repeatedly losing time preparing repo context when asking AI about a project.
The workflow used to be:
open repo β copy files β paste into Claude β repeat β hit context limits.
RepoPrep turns a project folder into a single structured context file ready for tools like Claude, ChatGPT, or Gemini.
It filters out node_modules, build files, binaries, and other noise automatically, and everything runs entirely in the browser β your code never leaves your machine.
Would love feedback from other developers using AI for coding!
Repomix is more of a CLI-style tool that packages your entire repository into a single AI-friendly file. Itβs great when you want to give an AI full codebase context at once.
RepoPrep is designed for a different workflow β itβs browser-based and more interactive. You drop a folder, see the file list, remove unnecessary files, and generate a clean context file instantly.
So instead of packaging everything, it focuses on quickly preparing just the relevant context for everyday AI usage.
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Curious how others here are preparing repo context before asking AI about a codebase.
Are you copying files manually, using scripts, or something else?
How is this different from Repomix?
@kishore_naskarΒ Good question.
Repomix is more of a CLI-style tool that packages your entire repository into a single AI-friendly file. Itβs great when you want to give an AI full codebase context at once.
RepoPrep is designed for a different workflow β itβs browser-based and more interactive. You drop a folder, see the file list, remove unnecessary files, and generate a clean context file instantly.
So instead of packaging everything, it focuses on quickly preparing just the relevant context for everyday AI usage.
Curious how others here are preparing repo context before
asking AI about a codebase.
Are you copying files manually, using scripts, or something else?