Anthropic 说 Opus 5.5 会自己决定思考量了,把整件事交代清楚、少手动干预就能跑得更好,这篇教你怎么交接和验收。
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The practical takeaway is that effort settings do not transfer across models: teams reusing old configurations for Opus 5.5 may overspend or trigger refusals from leftover reasoning-extraction instructions. The checklist-based harness pattern for preventing premature end_turn stops is directly reusable in long-running agent workflows. Developers running unattended coding, audit or migration tasks on the Claude API will get the most value from the guide.
The loop turns model review into an automated gate, so the expensive model spends tokens on planning and judgement rather than routine execution. Developers on metered Claude plans can replicate it with a single advisor command and one review prompt, cutting manual back-and-forth. The /compact timing tip matters too: compressing right after the plan is written lands while prompt caching is still warm, so it costs less than compacting after the cache expires.
Recuris reduces common long-horizon failures by up to 80 percent, offering significant performance gains over existing models.
有人用Claude Opus 5连干24小时,从零做出完整游戏,画面音效全是AI生成的,提示词和代码都公开了,你可以直接抄作业。
网友亲测了Claude Fable 5、GPT 5.6 Sol等模型,告诉你哪个写代码靠谱、哪个写作顺手,还爆出GPT偷偷作弊的趣事。