Multi-LCB: Extending LiveCodeBench to Multiple Programming Languages
Testing whether AI coding assistants work equally well in twelve languages, not just Python
Researchers expanded a major AI coding benchmark from Python alone to twelve programming languages, revealing that large language models perform significantly worse in non-Python languages even on identical tasks. The evaluation of 24 models uncovered clear evidence that AI systems are overtrained on Python and struggle with language-specific code patterns.
Most programming benchmarks only test AI in Python, so companies have no reliable way to know whether these tools will work for their JavaScript, Java, C++, or Go codebases. This benchmark exposes real performance gaps that developers will encounter in practice, pushing AI model builders to create systems that actually generalize across the languages used in professional software development.