AI-powered automated PR reviews are expensive and inefficient, with costs scaling disproportionately due to token pricing models and limited effectiveness in catching critical issues. Developers find themselves paying for repetitive and often redundant feedback that existing linters could handle, adding an unnecessary layer of expense without replacing the need for human oversight. This highlights a shift where code review has become the new bottleneck in software development processes, underscoring the urgent need for more intelligent and context-aware AI tools.
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