Hangar

SDLC · Stage 07 of 07

Measure and improve

Measure honestly, share the number, and keep a written list of what still needs work.

Principles: The platform is a product, Honest by design

Platforms get better when their weaknesses are easy to see. I'd much rather publish an honest number and move it than claim a finished platform nobody can check.

A platform improves when its weaknesses are visible. Hangar measures how operable Airframe is by agents with a scorecard (ten dimensions, a committed baseline of 27 out of 100, and an A+ bar at 97 with all fourteen acceptance checks passing), and publishes the number rather than a feeling.

Gaps found in real use are written down with their reproduction and a direction, not left in someone's head: Glidepath's known-gaps list is a product backlog in plain sight. Agent changes get the same treatment as code: Preflight scores every change against incidents that have already been solved.

Where Hangar does this

Matrix · 04 of 08 · ScorecardThe Airframe scorecard: ten dimensions, measured todayOpen full page ↗

And for AI agents

Evaluate agents like a regression suite, and let them earn autonomy

An infrastructure agent is judged by a regression suite built from real incidents, not by a demo. Autonomy is granted per alert class, earned by a track record, and revocable.

Process · 16 of 19 · PreflightPreflight: score every agent change against incidents you have already solvedOpen full page ↗
Process · 10 of 10 · Evaluating infrastructure agentsEvaluating infrastructure agents: a regression suite, not a vibeOpen full page ↗
State machine · 08 of 10 · AutonomyAutonomy is earned per alert class, and revocableOpen full page ↗

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