Claude Code Team Advises Reducing Over-Prompting for New Models

1 reports archived1 independent sourcesupdated 10/30/2026, 18:33:00

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Addy Osmani from the Anthropic Claude Code team advises users to stop 'over-prompting' as newer models like Opus 5.5 improve. He recommends using single clear instructions combined with automated acceptance criteria and appropriate reasoning effort settings to allow the model to execute tasks more independently.

LATEST/Addy Osmani from the Anthropic Claude Code team advises users to stop 'over-prompting' as newer models like Opus 5.5 improve. He recommends using single clear instructions combined with automated acceptance criteria and appropriate reasoning effort settings to allow the model to execute tasks more independently.

Hourly heat curve

32 fully observed hours

Now

5.9

Peak

11.919:00

24h change

-43%

The line compares only sources observed throughout; gap hours are interpolated to keep the trend continuous.

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机器之心 (微信公众号)T2Oct 30, 18:33·68 pts
Claude Code Team Advises Reducing Over-Prompting for New Models
- Step-by-step 'over-prompting' is becoming obsolete and inefficient as model capabilities grow.
- Use single, clear instructions that define goals and self-check mechanisms rather than listing every step.
- Establish executable acceptance criteria (e.g., automated tests or numeric targets) to enable independent task execution.
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