Evals & Safety
A code editing benchmark from the Aider project built from the 225 hardest Exercism exercises across C++, Go, Java, JavaScript, Python, and Rust.
A code editing benchmark from the Aider project built from the 225 hardest Exercism exercises across C++, Go, Java, JavaScript, Python, and Rust. The model edits a source file to pass the exercise's unit tests. If any tests fail, it gets one more attempt after seeing the error output. It replaced Aider's older Python-only benchmark when top scores started to bunch together, and it rewards models that can make correct, well-formed edits to existing code.
Primary source: aider.chat
Example
In practice, developers reach for Aider Polyglot when they need the capability described above as part of an AI feature or workflow.
Hands-on guides, comparisons, and tutorials that cover Evals & Safety.
FAQ
A code editing benchmark from the Aider project built from the 225 hardest Exercism exercises across C++, Go, Java, JavaScript, Python, and Rust.
Aider Polyglot sits in the Evals & Safety part of the AI stack. Understanding it helps you make better decisions when building, debugging, and shipping AI features.
Developers Digest publishes tutorials and videos that cover Evals & Safety topics including Aider Polyglot. Check the blog and YouTube channel for hands-on walkthroughs.
Related
A factuality benchmark from OpenAI that tests whether a model can answer short, fact-seeking questions that each have one indisputable answer.
The American Invitational Mathematics Examination, a 15-question high school math competition run by the Mathematical Association of America that AI labs use as a math reasoning benchmark.
The Abstraction and Reasoning Corpus for Artificial General Intelligence, a benchmark of visual grid puzzles.

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