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Anthropic 事後檢討:三個改動讓 Claude Code 變笨,官方怎麼修

An update on recent Claude Code quality reports

來源:Anthropic Engineering Blog・發布 2026-04-23・本站摘要分析(非全文轉載)

📌 一句話啟示:AI 工具表現忽好忽壞往往是設定而非模型,學會看設定與版本是上班族的基本功。

摘要分析

2026-04-23 Anthropic 公開事後檢討,回應 Claude Code 品質下滑抱怨。查出三個改動:3/4 預設 reasoning effort 從 high 降到 medium;3/26 清除舊 thinking 的改動有 bug 變成每輪都清,導致健忘、重複、更快耗盡用量;4/16 系統提示要求回答精簡反而降低寫程式品質。三者均已回復,API 未受影響。改善措施含每次系統提示改動做逐模型評測與分階段上線,並重置用量上限。啟示:模型「變笨」常是 harness 設定問題。

  • 品質下滑來自三個 harness 改動,不是模型本身;API 不受影響
  • reasoning effort 預設值會大幅影響結果,可用 /model 或設定調整
  • 清除 thinking 歷史的 bug 讓 Claude 健忘且更耗用量
  • 要求「回答精簡」的系統提示會降低寫程式品質
  • 官方新增逐模型評測、消融與分階段上線

On 2026-04-23 Anthropic published a postmortem answering reports that Claude Code had gotten worse. Three unrelated changes were found. On March 4 the default reasoning effort moved from high to medium to cut waits; users preferred intelligence, so it was reverted April 7. On March 26 a caching optimization meant to clear old thinking from long-idle sessions had a bug that cleared it on every turn, making Claude forgetful and repetitive and draining usage limits faster; fixed April 10. On April 16 a system-prompt instruction to shorten responses, combined with other prompt changes, reduced coding quality; reverted April 20. The API was unaffected. Safeguards now include more staff on the public build, per-model evals and ablations for every system-prompt change, soak periods and gradual rollouts, plus a usage-limit reset for all subscribers. The lesson for users: 'dumber' behavior is often a harness setting, not the model.

  • Three harness changes, not the model; API unaffected
  • Default reasoning effort strongly affects quality
  • Clearing thinking history made Claude forgetful
  • Terse-response prompts hurt coding quality
  • New per-model evals, ablations and gradual rollouts

關鍵字:postmortemClaude Codereasoning effort系統提示品質

來源原文:https://www.anthropic.com/engineering/april-23-postmortem
本頁為報導內容的摘要與分析,版權屬原媒體所有;請以原文為準。

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