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Developers have vastly different opinions on AI coding tools based on their experience level and approach. Amateur developers love AI because it produces seemingly working code quickly, but they often miss hidden bugs and security issues while stalling their learning process. Lazy experienced developers appreciate AI as a time-saver and can fix its mistakes. Artisan programmers who value craftsmanship generally dislike AI, finding that fixing AI-generated code takes longer than writing quality code from scratch. Environmental concerns about AI datacenters further divide opinions between those who overlook these issues and those who see them as unjustified given AI's output quality.

The reasons for the big discrepancy between satisfied vs dissatisfied developers using AI for coding

Big Tech, and the impact on the environment