Look up the handler, call it, deepSeq the state, produce the next node. When _comp._tag is "Pure", return [] and halt. The full implementation in trampoline.nix is about 100 lines, most of it error messages and the handle combinator that wraps run with a return clause.
But of course, hard coding a size guess is a bit rigid.，详情可参考新收录的资料
，更多细节参见新收录的资料
This is a very different feeling from other tasks I’ve “mastered”. If you ask me to write a CLI tool or to debug a certain kind of bug, I know I’ll succeed and have a pretty good intuition on how long the task is going to take me. But by working with AI on a new domain… I just don’t, and I don’t see how I could build that intuition. This is uncomfortable and dangerous. You can try asking the agent to give you an estimate, and it will, but funnily enough the estimate will be in “human time” so it won’t have any meaning. And when you try working on the problem, the agent’s stochastic behavior could lead you to a super-quick win or to a dead end that never converges on a solution.
▲这两张图，你能分出哪张是真实的吗。新收录的资料对此有专业解读
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