智能编程正在耗尽我的精力
文章讨论了“智能编程”（Agentic Coding）带来的新的工作模式对开发者造成的负面影响。
这种模式下，开发者不再能像传统编程那样有喘息的空间，而是需要不断地管理和审核由大型语言模型（LLMs）生成的代码，导致认知疲劳和决策疲劳加剧。
开发者意识到，过度依赖LLMs，并在不断地进行判断和监督，反而降低了工作效率并可能导致职业倦怠。
文章指出，简单地增加代理数量无法解决根本问题，需要改进代码审查和验证流程，但同时也对LLMs构建的验证系统本身的可靠性表示担忧。
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The familiar pacing of software development has been completely compressed by agentic coding because you no longer have those routine stretches of just wiring things together to catch your breath. Writing code by hand, or trad coding as Twitter likes to call it, forced me to respect the natural ebb and flow of the problem solving process and get into a much more steady, sustainable rhythm.
Doing tasks manually naturally builds up the context required for the decisions involved later because you have time to process everything along the way and construct your mental model of the project's structure. Working with LLMs means you cold start more often than not since the code just appears in front of you (like relying on the tattoos from Memento to understand what's going on).
The process of managing agentic workflows turns programming into a string of variable psychological rewards (dare I say, gacha or slot machine mechanics?) followed by cognitive fatigue instead of the deep, focused intellectual labor that initially brought a lot of developers into this industry.
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