Why Does CLAUDE.md Keep Growing? Catastrophic Remembering in Agentic Coding
Score
76首次提出灾难性记忆概念并大规模验证提示词无限增长现象，填补了提示词生命周期研究空白。
方法严谨，包含大规模数据集、理论分析和实验验证，但部分结论依赖反演构造环境。
提出了可操作的注释方案，可直接用于改善 Agent 提示词维护和指令遵循效果。
对应 CLAUDE.md 等 Agentic 编码 README 的快速普及与失控问题，具有强现实紧迫性。
来自 arXiv 预印本，尚未正式发表，但数据量和实验设计具有一定可信度。
Base 84.5 × T2 Source weight ×0.9 = 76
Curation line 70Selected
Why selected
It offers a large-scale empirical study, a mechanism explanation, and an intervention, forming a complete loop that informs both prompt engineering and agent design.
AI commentary
「What makes this paper worth watching is that it turns the widely felt problem of prompt bloat into a quantifiable, verifiable, and solvable scientific question. For engineering teams building long-memory agents, the trick of using comments as explicit reasoning traces is elegantly simple and may be easier to adopt than more complex memory-compression mechanisms.」
Quick overview
This paper finds that agentic coding prompts like CLAUDE.md grow without bound in real repositories, expanding by 226% on average and gaining 4.9 net instructions per commit. The cause is the prohibitive cost of deleting an instruction—it requires evaluating interactions with all other instructions—so older instructions become almost impossible to remove, termed catastrophic remembering (the inverse of catastrophic forgetting). Adding comments that encode latent reasoning reduces excess growth from 211.3% to 1.4% and improves real-world instruction-following by up to 23.1% on WildIFEval.
- Analyzing 247,694 instruction lifetimes across 1,867 repositories confirms unbounded prompt growth: +226% on average, with +4.9 net instructions per commit, and older instructions become less likely to be deleted (log-hazard -0.032 per commit).
- Inverting IFEval to produce verifiable worlds with known optimal prompts, they show comments encoding latent reasoning remove 99.3% of excess instructions (+211.3% to +1.4%).
- Applying the same inversion to WildIFEval, comments improve real-world agentic instruction-following by up to 23.1%.
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