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Multi-agent project trims a 500-line prompt down to 80 lines of core rules

11/06/2026 — 11/06, 15:20·1 sources (all)·1 reports (all)

Key takeaways

  • A multi-agent project saw its prompt grow to 500 lines as rules piled up, diluting attention and producing contradictory instructions. The a…

Background & analysis

On 2026-11-06 at 09:39, Juejin published a retrospective titled 'Multi-Agent Project Rule Slimming: From a 500-Line Prompt to 80 Lines of Core Constraints.' The article addresses a common pain point in multi-agent projects: rules keep accumulating, the prompt grows to 500 lines, attention gets diluted across the instruction set, and agents end up following contradictory directives. The author describes a four-step slimming method combined with a five-layer attribution approach, which compresses the rules down to 80 lines of core constraints. According to the article, this brings startup overhead down by 85% while still defending the system's core guardrails. The source material does not report on how widely this method has been adopted elsewhere or what has happened since.

AI-generated from 1 reports · updated 1 hour ago

updream
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  1. As rules piled up, the prompt swelled to 500 lines, diluting attention and introducing conflicting instructions. The author describes a four-step trimming method plus five-layer attribution that cut it down to 80 lines of core constraints, reporting an 85% drop in startup overhead.

    掘金AI score 61

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