coder_eval
Evaluate & benchmark AI coding agents and Claude Code skills — sandboxed, reproducible YAML eval suites for Claude Code, Codex & Gemini, with A/B experiments and CI gates.
Test and measure the performance of AI coding agents with structured tasks and experiments to improve their skills.
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Free · no card · unsubscribe anytimeEvaluate & benchmark AI coding agents and Claude Code skills — sandboxed, reproducible YAML eval suites for Claude Code, Codex & Gemini, with A/B experiments and CI gates.
coder_eval has 105 stars on GitHub. It has been forked 1 times. coder_eval is written mainly in Python. It has been in active development since 2026. coder_eval is available under the Apache-2.0 license. Its main topics are agent-evaluation, agent-testing, ai-agents, ai-evaluation.
What is coder_eval?
Evaluate & benchmark AI coding agents and Claude Code skills — sandboxed, reproducible YAML eval suites for Claude Code, Codex & Gemini, with A/B experiments and CI gates.
Is coder_eval open source?
coder_eval is an open-source project. It is released under the Apache-2.0 license.
Is coder_eval free?
Yes. coder_eval is free and open source — you can use, modify and self-host it.
What license does coder_eval use?
coder_eval is available under the Apache-2.0 license.
What language is coder_eval written in?
coder_eval is written mainly in Python.
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