This article focuses on the limitations encountered when using the Claude Opus 4.5 model for reverse engineering code writing. Users have reported that the model often refuses to perform such tasks, sparking community discussions on how to bypass these restrictions through prompt optimization. Several participants have shared practical techniques, including prompt design and guidance strategies, aimed at improving AI efficiency in security research. The topic covers real-world application challenges of AI models and offers valuable insights for developers, security engineers, and cutting-edge technology enthusiasts, highlighting the crucial role of prompt engineering in pushing the boundaries of AI capabilities.
