Amazon’s SWE-PolyBench just exposed the dirty secret about your AI coding assistant
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Summary
AWS has launched SWE-PolyBench, a benchmark to evaluate AI coding assistants and their performance across various programming languages and real-world scenarios.
It addresses limitations of existing evaluation frameworks which only use Python and focus on bug fixing.
SWE-PolyBench contains 2,000 curated coding challenges in Java, JavaScript, TypeScript and Python.
Amazon’s Anoop Deoras said existing “pass rate” evaluation metrics are too simplified and don’t detail how an agent resolved an issue, so the new benchmark has more sophisticated evaluation processes.
The benchmark reveals that Python remains the strongest language for all tested agents, but performance degrades as complexity increases, and there is greater variability in agent performance with more complex tasks.