Aider Polyglot: the multi-language coding benchmark becomes a standard
In one sentence The Aider Polyglot benchmark (225 Exercism exercises across C++, Go, Java, JS, Python, Rust) emerges as the de-facto metric for edit-aware coding models, complementing SWE-bench.
Paul Gauthier (author of Aider, one of the earliest CLI coding assistants with git integration) proposes a new benchmark: Aider Polyglot. Unlike SWE-bench (which measures "fix this Python GitHub bug"), it tests models on 225 Exercism exercises across six languages: C++, Go, Java, JavaScript, Python, Rust.
The interesting part is the type of test: the model has to modify existing code across multiple files, not write from scratch. And it has to do so in the correct edit format (diff, search-replace, whole-file) — which is exactly how real coding assistants work.
In the following months it becomes the most-cited metric on coding-model leaderboards. Anthropic, OpenAI, and Google start reporting Polyglot scores next to SWE-bench in releases.
Companies
Aider
Tools
Aider, Aider Polyglot Benchmark
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