Developers liken using AI to generate code to playing a slot machine—occasionally yielding impressive results. However, AI often produces plausible but not always correct code, underscoring the necessity for traditional coding skills. AI excels with familiar problems but struggles with novel or unique scenarios. These “out-of-distribution” issues highlight why maintaining coding competences remains crucial, contrary to claims that AI will replace programmers. This trend mirrors past predictions about coding becoming obsolete, which never materialized. Instead, the demand for developers has grown. While AI can enhance productivity, developers must be skeptical of AI-generated code, as it may contain vulnerabilities or flaws. Emphasizing quality over sheer speed, engineers should slow down their coding processes, using AI to explore design ideas rather than neglecting foundational skills. Regular practice, such as “No-AI days” or engaging in personal coding projects, can help preserve technical competencies and ensure a deep understanding of programming challenges.
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