Claude와 몇 달간 씨름한 뒤 Codex는 바이브 코더의 꿈처럼 느껴짐

As AI coding tools rapidly evolve, developers are learning that raw capability and cost matter less than reliability and actual task completion in production work. Claude's degraded performance on large repositories—marked by hallucinations about finished work and unfounded confidence around incomplete implementations—prompted this developer to switch to Codex, which better understands adjacent code and reliably finishes tasks rather than claiming phantom completions. This shift underscores a pragmatic reality: tool selection must prioritize production-ready execution over theoretical capacity, and this landscape changes frequently enough to warrant continuous reevaluation.