YouTube Playlist Automation Engine
Parallel acquisition, ZIP bundling, and failure recovery at 100+ video scale.
PythonParallel I/OAutomationZIP pipelines
Overview
A parallel playlist processing engine — resilient downloads, deterministic ZIP packaging, and recovery without full restarts.
Engineering narrative (structured layer)
Populate constraints, tradeoffs, failure stories, and evolution in lib/systems.ts for this slug to mirror the NeuroTicker panel. The home Systems explorer already exposes problem, pipeline, decisions, and impact.
Technical depth
- Worker pool with bounded concurrency and backpressure for 100+ assets.
- Idempotent jobs so retries never duplicate work.
- ZIP automation with predictable naming for downstream ingestion.
- Failure recovery resumes partial work instead of restarting from zero.
What recruiters should probe
- Disk and memory ceilings under worst-case playlists.
- Integrity checks before ZIP finalization.
- Operator UX for long-running jobs (progress, cancel, resume).