🏹 MutaGReP

A strategic approach to library-scale code generation

Table of contents

1. 🏹 Against Code-Stuffing

2. 🏹 A Closer Look at the Plan Representation

3. 🏹 Searching, Grounding, and Ranking the Plan

4. 🏹 Mining the Repository and Embedding Its Symbols

How can we move beyond dumping entire libraries into a prompt?

In their 2025 work, the MutaGReP authors demonstrate a structured, plan-based method for large-scale code generation. Instead of overwhelming a model with every function in sight, they retrieve and sequence only the functions that matter, producing concise yet context-rich solutions for real repositories.

We'll start by examining the pitfalls of "code-stuffing," then explore plan representation, search mechanics, and vector-driven retrieval. Finally, we'll conclude with a practical overview of the open-source implementation.

A Deep Research series