问HN：在有代币预算的情况下，您是如何做到“完全不手动编写代码”的？
随着一些企业环境从“无论如何都要最大化代币使用”转变为现在对自主开发设定严格的代币预算：<p>在这种情况下，如何遵循管理层/领导层的指示“在一切中使用人工智能”，甚至更进一步：“你不应该手动编写代码”？<p>这感觉像是在玩俄罗斯轮盘赌。只要你拥有正确的工具、框架、技能、提示等，以尽可能使输出结果确定，并且确切知道你应该构建什么：你就能得到一个符合验收标准并解决问题的优秀输出。<p>目前这些都没有标准化，具体任务的定价也无法预测（例如，“两个新的CRUD端点及其测试价格为1.43美元”）。那么，是什么阻止绩效评估只关注你能用人工智能交付的成果，而不是你能在人工智能辅助下交付的成果呢？
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With some corporate environments going from "tokenmaxxing at all costs" to now setting strict token budgets for agentic development:<p>How is one supposed to adhere to a managerial / leadership instruction of "use AI for everything" but even more than that: "you shouldn't be writing code by hand"?<p>It feels like this is a Russian roulette scenario. As long as you have the right harness, framework, skills, prompt, etc. to make the output as deterministic as possible AND know exactly what you're supposed to be building: you get a great output that meets acceptance criteria & solves the problem.<p>None of this is standardized and concrete tasks don't currently have predictable pricing (i.e., "Two new CRUD endpoints with tests are $1.43"). So what's stopping performance reviews from valuing what you can deliver ONLY with AI rather than what you can deliver with AI assistance?