https-deeplearning-ai / https-deeplearning-ai/spec-build-lab
Recording: Claude Code transcript compaction can erase the /prepare-build announcement bookend
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- 主要语言
- Python
- 星标
- 3
- 派生
- 3
- 平均合并
- 20 小时 23 分钟
- 30 天内合并 PR
- 6
描述
Observed on run-08 (2026-09-07): the .session breadcrumb correctly pointed at the live transcript, but by extraction time the session had gone through context compaction and the transcript JSONL no longer contained the /prepare-build announcement text ("Run 08 — building in builds/run-08/") — the default opening bookend matched nothing and extract.py sliced from the start of the surviving transcript. The closing bookend (recent text) still matched. Recovered by re-running with --from="Spec fully absorbed", a phrase that survived compaction; the final log covers 138 turns of the build but has lost the allocation/checklist turns that preceded the compaction boundary.
Implication: the post-hoc recording design (CLAUDE.md "Recording is post-hoc") assumes the transcript retains raw turns for the whole build window. Long sessions violate that: compaction can drop any pre-boundary turn, including the opening bookend and early build activity.
Options to consider (next tooling pass):
/prepare-buildwrites the announcement text (or a unique token) intoevals/run-NN/.sessionalongside the path, andextract.pyfalls back to slicing from the earliest surviving turn while WARNING loudly that the opening bookend was lost (today it says "no match — sliced from start" only in stdout).- Have
/prepare-buildnote a timestamp at allocation; slice by timestamp rather than text. - Or extract eagerly (run
/extract-build-logperiodically during long builds) since re-runs are idempotent.
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调研方向
先从 extract.py 和 /prepare-build 录制流程开始,然后阅读 CLAUDE.md 中关于录制是事后进行的指导。使用 run-08 场景,复现 transcript 压缩后的提取过程,并比较可用的 boundary 选项。完成的标准是:长会话不再悄无声息地丢失开头上下文,并且在原始 bookend 缺失时,提取过程能清楚报告使用了哪个 boundary。
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评估
- 技术栈
- python
- 领域
- tooling
- Issue 类型
- 缺陷
- 难度
- 4/5
- 预计耗时
- 3-5 天
- 活跃度
- 活跃
- 描述清晰度
- 基本清楚
- 新手友好度
- 45/100