Launched this week
MashuPack
Turn codebases into a clean file for Claude and ChatGPT
102 followers
Turn codebases into a clean file for Claude and ChatGPT
102 followers
Select the exact parts of a repository and compile them into one clean text file for ChatGPT and Claude or Gemini. MashuPack is built for browser-based AI workflows where file-count limits, upload friction, and messy context assembly keep getting in the way. It makes code context portable, intentional, and easy to control.
mailX by mailwarm
Do you keep file paths and a table of contents so the model can still reference where things came from?
@othman_katim Yes - MashuPack preserves file paths and structure, and the tree/report can be copied along with the full contents. It also already shows token estimates in the UI for folders/files when you toggle the stats view. What I want to improve next is making more of that metadata clear in the exported manifest itself, so the output stays self-describing outside the app. Thank you for your comment!
Private Resume Builder
nice and simple utility, I've been using tree for this, but Mashupack is a nice visual way to solve the same problem.
A context manifest would be valuable here.
Something like file list, timestamp, ignored paths, token estimate, and exclusions.
That gives teams a lightweight audit trail for what was sent into ChatGPT or Claude.
@nithin_raju1 Thanks so much!
This solves a surprisingly real problem for people working with large codebases and LLMs. I liked the idea of making context “portable” instead of manually copying files or fighting upload limits. Feels especially useful for developers using Claude or ChatGPT heavily for debugging, refactoring, or code understanding workflows.
Preparing clean codebase context for LLMs is a practical developer problem. Tools improving context quality will likely become increasingly important for AI-assisted development.