Jev in production › Agent context and memory

Code Puppy

Jev-powered smart grep replaces ripgrep for gathering code context in the coding agent, cutting LLM token usage by up to 90% per demo (author).

Open on GitHub ↗

90%measured against a baseline, as published by the source
Use
Agent context and memory
Industry
Developer tools
Form
Open-source tool
Stage
In production
Listed
2026-09-28
Found via
discord
Repository
mpfaffenberger/code_puppy
Stars
852
Forks
284
Last push
2026-10-10
Language
Python
License
MIT
Code Puppy screenshot
code_puppy.png in the mpfaffenberger/code_puppy README, MIT; shown from GitHub.

The README opens with

"Who needs an IDE when you have 1024 angry puppies?" - Someone, probably.

This project was coded angrily in reaction to Windsurf and Cursor removing access to models and raising prices.

You could also run 50 code puppies at once if you were insane enough.

Would you rather plow a field with one ox or 1024 puppies? - If you pick the ox, better slam that back button in your browser.

Code Puppy is an AI-powered code generation agent, designed to understand programming tasks, generate high-quality code, and explain its reasoning similar to tools like Windsurf and Cursor.

Badge

For the project's own README, linking back here:

Listed in Jev in production

Also used for agent context and memory