Researchers have created a benchmark called BC-Bench to evaluate how well artificial intelligence systems can perform tasks in a specific programming language used for enterprise resource planning (ERP). The benchmark consists of 101 real-world tasks extracted from Microsoft-owned production repositories. It assesses not only the AI's ability to generate functional code but also its capacity for test generation and handling complex visual information. A study using BC-Bench found that performance improvements seen on general-purpose benchmarks do not necessarily translate to this specific language, highlighting the need for domain-specific evaluation. --- Why it matters: This matters because it shows that AI systems may not generalize well across different domains or programming languages, which has implications for their practical application in real-world settings. Engineers and researchers working on AI systems need to consider these limitations when designing and evaluating their models. Source: https://arxiv.org/abs/2608.20851