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Warp Builds Self-Improving Claude Agent

Warp 如何基于 Claude 构建"自我改进"的 Agent? 一次性提示词只能完成任务的 80%,剩下 20% 的错误持续制造噪音。 Warp 的方案是极简双层循环:内层 Base Skil...

Why we picked it

The system provides a practical approach to reduce errors in Claude-based agents through structured human feedback integration.

Warp has developed a minimal two-loop system to create self-improving agents based on Claude. The inner Base Skill loop executes tasks while the outer Improver Skill loop aggregates human feedback. This approach addresses the 20% error rate from single-prompt task completion. The system follows a standard PR process for human review and merging of modifications.

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Warp 如何基于 Claude 构建"自我改进"的 Agent? 一次性提示词只能完成任务的 80%,剩下 20% 的错误持续制造噪音。 Warp 的方案是极简双层循环:内层 Base Skil...

Warp 如何基于 Claude 构建"自我改进"的 Agent? 一次性提示词只能完成任务的 80%,剩下 20% 的错误持续制造噪音。 Warp 的方案是极简双层循环:内层 Base Skill 执行任务,外层 Improver Skill 定期汇总人类反馈,对内层 Skill 提出小修改,走标准 PR 流程由人评审合并。 x.com/i/article/2093… 💬 1 🔄 0 ❤️ 1 👀 323 📊 2 ⚡