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Augment Code(@augmentcode)

In our testing, Opus 4.7 is noticeably better at staying on plan over longer horizons. It adapts whe...

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In our testing, Opus 4.7 is noticeably better at staying on plan over longer horizons. It adapts whe...
AI 深度提炼
  • Opus 4.7 更擅长在长时间任务中保持计划一致性
  • 模型在行动前进行更深推理,提升异步和自动化流程稳定性
  • 显著减少工具状态错误和重复策略调整,在CI/CD中表现更强
#Opus#大模型#AI Agent#Claude#自动化
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It also reasons more deeply before acting, which shows up as more stable execution in" / X

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In our testing, Opus 4.7 is noticeably better at staying on plan over longer horizons. It adapts when constraints change and follows through with verification instead of restarting mid-run. It also reasons more deeply before acting, which shows up as more stable execution in async and automated workflows. The difference we’ve seen: - fewer tool-state failures - fewer “re-derive the approach” turns - stronger performance in CI/CD and long-running tasks

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Claude

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@claudeai

Apr 16

Introducing Claude Opus 4.7, our most capable Opus model yet. It handles long-running tasks with more rigor, follows instructions more precisely, and verifies its own outputs before reporting back. You can hand off your hardest work with less supervision.

![Image 3: Claude Opus 4.7 Benchmarks](https://x.com/claudeai/status/2044785261393977612/photo/1)

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