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English(EN) Anthropic deleted 80% of Claude Code's system prompt. Here is what I changed in my setup.

Anthropic精简Claude Code提示,建议新的开发者策略

Anthropic 已显著减少了其 Claude Code 模型的系统提示,删除了之前用于指导较弱模型指令的 80% 以上。Anthropic 的 Thariq Shihipar 详细介绍了这一变化,旨在通过防止高级模型(如 Opus 5 和 Fable 5)陷入协调冲突指令的困境来提高其性能。建议开发者调整他们的提示策略,专注于清晰的上下文和目标,而不是角色扮演,并避免在会话中途切换模型以保持缓存效率。 AI

影响 使用 Claude Code 的开发者应调整其提示技术,以利用精简的系统提示来提高效率和效果。

排序理由 开发者讨论了现有产品的提示工程变更,而非新版本发布。

在 dev.to — LLM tag 阅读 →

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Anthropic精简Claude Code提示,建议新的开发者策略

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Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Commentary
开发者讨论了现有产品的提示工程变更,而非新版本发布。
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
product, model release
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
45 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

完整方法见我们的编辑标准。

报道来源 [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Tomas Grasl ·

    Anthropic删除了Claude Code 80%的系统提示。这是我在我的设置中更改的内容。

    <p>Are you burning tokens in Claude Code and getting worse results than you should? Your old habits might be the reason.</p> <p>Anthropic removed over 80% of Claude Code's system prompt. No measurable loss on their coding evals. Thariq Shihipar from Anthropic wrote it up on July …