Spool
A lightweight approach to managing persistent AI coding loops that uses the file system as the state carrier. It separates loop control from the AI coding assistant itself, achieving cross-session loop execution and recovery through task queuing, state persistence, and external script driving.
Timeline (last 90 days)
Spool uses the file system as the state carrier, decoupling loop control from Claude Code itself.
Spool's workflow includes: queueing tasks, persisting state to disk, and driving the loop with external scripts.
Spool chooses to write a checkpoint after each loop iteration ends, rather than writing on every step, to balance durability and performance overhead.
Spool adopts a "skip rather than block" error handling strategy: when it encounters a failed task, it writes to a separate log file and continues processing other tasks.
According to the original post's author, in actual use about 10%-15% of tasks require manual review.
The discussion of Spool on Hacker News has a score of 7 points and 3 comments.
Spool is suitable for batch-applying similar modifications, continuously running tests until they pass, and loop tasks that may last for hours and may be interrupted in the middle; it is not suitable for interactive exploration, one-off tasks, or scenarios extremely sensitive to latency.
All Facts (6)
Spool uses the file system as the state carrier, decoupling loop control from Claude Code itself.
50%UnverifiedSpool's workflow includes: queueing tasks, persisting state to disk, and driving the loop with external scripts.
50%UnverifiedSpool chooses to write a checkpoint after each loop iteration ends, rather than writing on every step, to balance durability and performance overhead.
50%UnverifiedSpool adopts a "skip rather than block" error handling strategy: when it encounters a failed task, it writes to a separate log file and continues processing other tasks.
50%UnverifiedAccording to the original post's author, in actual use about 10%-15% of tasks require manual review.
50%UnverifiedSpool is suitable for batch-applying similar modifications, continuously running tests until they pass, and loop tasks that may last for hours and may be interrupted in the middle; it is not suitable for interactive exploration, one-off tasks, or scenarios extremely sensitive to latency.
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