acme/checkout-service

Sample

mainScanned a recent scanPowered by Mapnostics

⚠️ 14% of scanned chunks may be dead code

47 functions flagged across 31 files. Unresolved dead code increases maintenance cost and cognitive load for every developer on your team.

Chunks Scanned

3,842

Dead Code %

14%

Flagged Functions

Avg Confidence

82%

Dead Code Findingstop 5 of 47

src/api/deprecated-webhook.ts:12–30High Risk

No references found anywhere in the codebase. The route it registered was removed from the API gateway config six months ago.

96%

src/utils/legacy-price-format.ts:8–24High Risk

Superseded by formatCurrency() in src/utils/currency.ts, which every other call site now uses.

91%

src/components/OldCheckoutModal.tsxHigh Risk

Not imported by any route or component. The checkout flow now renders CheckoutModalV2.

88%

src/jobs/reconcile-legacy-orders.ts:1–65Med Risk

Cron entry for this job was removed from the scheduler config; the function itself is still exported.

74%

src/lib/feature-flags/old-client.tsMed Risk

Referenced only from a test file that itself has no other callers.

68%

Codebase Memory Score

71/ 100

Below industry average (72/100)

The Memory Score reflects how well this codebase is understood and maintained. Low scores indicate high cognitive debt — developers spend more time deciphering code than building new features.

Key-Person Risk

high

1key person

1 person wrote most of this codebase. If they leave, that knowledge goes with them.

Contributors4

Top contributor's share of the lines61%

Areas that would lose their only author3

Files measured118

Measured from the commit history of every indexed file. Individual contributors are named in the full report, not on a shared link.

💸 Cost of Inaction

$42,300

per year

Carrying 47 dead code issues costs a team like this an estimated $42,300 per year in maintenance overhead, slower onboarding, and increased incident risk.

Dead code issues47

Engineer-hours per issue per month0.5 hrs

Fully-loaded hourly cost$150

Months× 12

Same formula every real report uses, applied to this sample's illustrative flag count — not a measurement of a real team. Estimate based on industry averages.

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Sample data for illustration.