GRASP.
Grasp · Comprehension Index Scan Report

Who still understands gin-gonic/gin?

Computed from git metadata only; no source code contents were read.
touch-weighted · 3-year history window · last commit 23d ago · scores are comparable only against same-mode scans

Grasp Score
36
touch-weighted living knowledge across the repo
Active humans
11 / 152
contributors active in last 90 days vs. all-time
AI-attributed minimum
≥ 1.9%
hard evidence only. Just 46% of commits here carry any attribution signal, so the real share is higher
Inactive share
78.8%
work by authors with no commit in the window; silence, not proof of departure
Composition
42/43/10/4%
source / tests / docs / config share of scored work
Living, source only
34%
the headline recomputed over hand-written source alone
Score stability
stable
90-day-cliff variant reads 20%–24% across 60/90/180-day activity windows; read the width before the middle value
Squash-merged history: 99% of the commits analysed here collapsed a whole pull request into one commit by one author. Squashing credits a single person for everyone's work and can strip the co-author trailers that name the rest (measured across heavy squashers, roughly a quarter to a third of squash commits still carry them, and those are credited), so for this repository the concentration figures are an upper bound, the bus factors are a lower bound, and the AI-attribution minimum is lower than it would be with the same work merged conventionally. That information is destroyed at merge time and cannot be recovered from the repository, so it is reported rather than corrected. Comparisons against a project that does not squash are comparisons across two different record-keeping systems.

Dark-code ranking

Modules ranked by comprehension risk: the unknown share, amplified by ongoing change and thin ownership. The green meter is living knowledge.

ModuleRiskLiving knowledgeAI-attr. InactiveBusHeat/180d
(root)MED 60
39%
4%75%147
bindingMED 57
25%
0%94%03
renderMED 54
32%
0%93%09

Public-repo caveat: "departed" includes drive-by contributors, overstating attrition relative to a company repo with a real roster. Engagement is a proxy for comprehension. Treat it as a potential indicator rather than a diagnosis.