Cookbook

Integration recipes for the NASEBANAL APIs.

Production-ready patterns built around the Recorder API — feed operational metrics through the System User, track AI coding spend, and reuse the same scaffolding we run internally.

DevOps

Track your own DORA + Code metrics with GitHub Actions → Recorder

A walk-through for pushing Deploy / LeadTime / Lines metrics from your own GitHub repo into the Recorder using a personal PAT. Get a feel for the Recorder API end-to-end. NASEBANAL runs the same shape internally across all 10 repos via a dedicated System User.

Intermediate·30min·Last tested 2026-05-27

recorder

AI

Track Claude Code token consumption per project with the Recorder (Stop hook)

A Stop hook aggregates Claude Code's session JSONL at end-of-session and POSTs Input / Output / CacheRead / CacheCreate totals to the Recorder. Each launch directory maps to a metric prefix you choose — align it with `System/Code/<app>/` and your Claude token spend lines up next to your DORA / Code series, a per-app time series the Anthropic Console can't give you.

Intermediate·20min·Last tested 2026-05-27

recorder