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7 changes: 6 additions & 1 deletion README.md
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# coder_eval — evaluate & benchmark AI coding agents
# coder_eval — evaluate AI coding agents & their skills

[![PyPI](https://img.shields.io/pypi/v/coder-eval.svg)](https://pypi.org/project/coder-eval/)
[![License: Apache 2.0](https://img.shields.io/badge/License-Apache_2.0-blue.svg)](LICENSE)
[![Python 3.13+](https://img.shields.io/badge/python-3.13%2B-blue.svg)](https://www.python.org/downloads/)
[![CI](https://github.com/UiPath/coder_eval/actions/workflows/pr-checks.yml/badge.svg)](https://github.com/UiPath/coder_eval/actions/workflows/pr-checks.yml)
[![Code style: Ruff](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/v2.json)](https://github.com/astral-sh/ruff)

A framework for evaluating AI coding agents **and their skills** — built for CLI
and skill builders — with sandboxing, reproducibility, and data-driven analysis.
Not an "agentic coding" benchmark: it measures how effective your CLI and skills
are when used by coding agents.

<p align="center">
<img src="docs/assets/hero.gif" alt="coder_eval running the hello_date task: a sandboxed agent writes and runs a script from a YAML task, then the scored result is browsed in evalboard" width="100%">
</p>
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