Monitoring providers often present AI-driven root cause analysis as a groundbreaking solution. In this context, it is important to note that the actual effectiveness of LLMs (Large Language Models) combined with log extracts depends on practical application. A practical test reveals that linking these technologies brings not only potential but also challenges. While LLMs are capable of recognizing patterns and making suggestions, the question remains how effectively they can resolve complex issues in troubleshooting. A nuanced assessment of opportunities and risks is therefore essential for making informed decisions. A final assessment would be premature at this point, as further investigations are necessary to understand the actual impacts on software development.