We introduce CLAPP (CLASS LLM Agent for Pair Programming), an interactive AI assistant designed to support researchers working with the Einstein-Boltzmann solver CLASS. CLAPP leverages large language models (LLMs) and domain-specific retrieval to provide conversational coding support for CLASS-answering questions, generating code, debugging errors, and producing plots. Its architecture combines multi-agent LLM orchestration, semantic search across CLASS documentation, and a live Python execution environment. Deployed as a user-friendly web application, CLAPP lowers the entry barrier for scientists unfamiliar with AI tools and enables more productive human-AI collaboration in computational and numerical cosmology. The app is available at https://classclapp.streamlit.app
@article{arxiv.2508.05728,
title = {CLAPP: The CLASS LLM Agent for Pair Programming},
author = {Santiago Casas and Christian Fidler and Boris Bolliet and Francisco Villaescusa-Navarro and Julien Lesgourgues},
journal= {arXiv preprint arXiv:2508.05728},
year = {2025}
}