Alberto Fortin, a veteran software engineer, shares his experiences with AI, particularly Large Language Models (LLMs), revealing a gap between the initial excitement and practical challenges faced in production environments. Despite his initial enthusiasm, Fortin encountered significant issues with AI models like Claude Opus 4, especially in the context of rebuilding infrastructure using Go and ClickHouse. He argues that these tools often fail to deliver the anticipated productivity improvements, sometimes introducing new complexities rather than resolving existing ones. Through his analysis, Fortin emphasizes the importance of maintaining realistic expectations about AI's capabilities and advises engineers to leverage these tools as assistants rather than as replacements for human oversight and decision-making. His insights highlight the need for a balanced approach, acknowledging AI's potential while recognizing its current limitations and advocating for a thoughtful integration into development workflows.