Local CLI plotting AI spend against engineering throughput
Project description
AI Eng Audit
Plot AI tool spend against engineering throughput on a shared chart. Local, open-source, one command.
What it is
Over the last year a lot of teams burned real money on Claude, Cursor, Copilot, and the rest. The invoices are clear; the output is not.
The current version reads your local git history and PR data and produces a report on the shape of engineering output:
- PRs merged to the default branch and the L1 ship rate
- PRs that were opened and then closed, merged and then reverted, or sitting open for too long
- commit distribution on the default branch over time
The next version pairs this with the monthly billing CSV exported from your AI vendor, putting spend and shipped output on the same timeline.
How to use it
export GITHUB_TOKEN=ghp_xxxxx
pip install ai-eng-audit
ai-eng-audit scan --repo /path/to/your/repo --window 90d
Python 3.11+. Generate a GITHUB_TOKEN PAT at https://github.com/settings/tokens with repo scope.
Add --format json for JSON output. Per-metric definitions are in docs/methodology.en.md.
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