Project Health
Updated

Example data. These numbers are generated so the dashboard demonstrates itself. Point projects.json at your own repositories and run a collection to replace them.

Projects

Engineering practices and AI adoption for every project, read from GitHub.

Gates passing, average75%1 of 3 applications at L3
In production below L10live with almost no gates
AI usage, average3.0 / 5across 3 applications with data
Production at L30 / 0live projects meeting the full standard

Needs attention (2)

BillingHigh AI, low engineeringHigh AI usage, low engineering: AI usage is 4/5 while the engineering level is N1, so AI-assisted change lands without the gates that would catch its mistakes.MobileEngineering declining-25 points since last month
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Applications (3)

ProjectEngineeringGatesAI usageLast 30 daysOpen
BillingNot deployedinferred
Back + frontHigh AI, low engineering
L144
5/8
4/5
Billing engineering score, last 6 months: 2026-06 17, 2026-07 33, 2026-08 44+11
MobileNot deployedinferred
MobileEngineering declining
L044
5/8
2/5
Mobile engineering score, last 6 months: 2026-06 81, 2026-07 69, 2026-08 44−25
CheckoutNot deployed
Back + front
L3100
8/8
3/5
Checkout engineering score, last 6 months: 2026-06 85, 2026-07 95, 2026-08 100+5

Platform tooling (1)

Libraries, sites and other platform pieces, ranked apart from the applications. They are not deployed to PRE/PRO, so environment based metrics do not apply.

Gates passing, averagen/a0 of 1 at L3
AI usage, averagen/a / 5across 0 with data
ProjectEngineeringGatesAI usageLast 30 daysOpen
LedgerEnvironment n/a
your-org/ledger
On the roadmap; scored once its repository exists.

Hover a value for its counts. Open a project for the gate-by-gate breakdown.