Veteran Developer Argues Experienced Coders Are Not Falling Behind on AI Tools

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Software developer Daniel Flores, with seven years of professional experience, argues that the widespread fear of missing out on AI tools is largely overstated for developers who already understand how LLMs work. Writing on DEV Community, Flores contends that core limitations of AI coding tools — including hallucinations and compounding errors in agentic workflows — have remained consistent since early GitHub Copilot previews around 2021-2022. He warns that industry voices, often with commercial interests, are pushing developers into anxiety-driven adoption cycles without acknowledging these persistent shortcomings. Flores notes his own job search has suffered partly because his CV honestly discloses that he reviews 100% of AI-generated code, a practice he considers responsible but apparently unappealing to employers. His broader concern is not about learning new tools, but about the long-term impact of AI hype on developer jobs, fair compensation, and how technical expertise is valued in the industry.

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