blindspot 0.0.2

The bus factor for the AI era. Map team knowledge blindspots before someone leaves.

blindspot

The bus factor for the AI era. Map your team's knowledge blindspots before someone leaves.

🚧 Pre-alpha. Codename: Blindspot. APIs and metrics will change.

Why

AI coding tools made engineering teams faster. But faster does not mean understood. Codebases now carry a new kind of risk: services that shipped quickly, owned by one person, reviewed by no one in depth — and that one person can leave tomorrow.

Existing tools measure velocity. blindspot measures resilience.

What it measures

• Ownership concentration — who actually understands each part of the codebase, weighted by recency and review depth
• Bus factor per service / folder — how many people would need to leave before knowledge is critically lost
• Review lineage — who reviews what, and where reviewer redundancy is dangerously thin
• Departure simulation — "If two senior devs on Payment leave next month, what coverage do we lose?"
• Knowledge decay — code volatility and contributor drift, projected 30 / 60 / 90 days forward

Quick start

pip install blindspot
blindspot scan /path/to/repo --output blindspot_report.html
blindspot simulate --person [e-mail] /path/to/repo

Output is a single self-contained HTML file. No server, no signup, no telemetry.

Documentation

Full end-to-end documentation lives in docs/ — the algorithms (with formulas and parameters), the architecture, the CLI reference, configuration, and how to read every section of the report.

Design principles

• Service-first, not person-first. Default views show service-level risk. Individual views require explicit, justified access.
• Evidence over inference. AI-usage signals come from official telemetry (e.g. GitHub Copilot Usage API) when available — not from guessing.
• Reports, not surveillance. blindspot answers "is this service fragile?", not "is this person slacking?".

Roadmap

Phase	Surface	Status
1	CLI + static HTML report	In progress
1	GitHub Action + Checks API output	Planned
2	Self-hosted dashboard	Planned
2	AI signal layer (Copilot Usage API)	Planned
3	Slack / Jira / incident integration	Planned

License

MIT. See LICENSE.