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vectalon/outcomes○ experimental demo data

Engineering outcomes, not feature counts

Anyone can count agents. The ledger an engineering manager actually reads is outcomes — issues detected and fixed, PR issues caught, build failures resolved, hours saved. This example is derived from committed demo report.json files. The analysis capability is experimental and does not promise these outcomes for a customer repository.

vectalon outcomes
approved
$ vectalon outcomes
Acme Corp — July
127 issues detected
91 automatically fixed
23 PRs reviewed
14 build failures resolved
8 hours saved on RN upgrade
31 regressions prevented
Estimated engineering savings: $7,400
~98 developer-hours at $75/hr blended rate

Your ledger, from your repo

real reports, not estimates

vc outcomes reads the committed reports under docs/vectalon/ and .vectalon/upgrades/ and counts each outcome from real artifacts — then multiplies the hours by a blended rate ($75/hr by default, override with --rate). Nothing is estimated from thin air; if no reports exist yet, the ledger says so.

build-fix
→ build failures diagnosed + resolved

every metro/gradle/xcode log you hand it → root cause + fix plan, counted per report

fix / bug-fix
→ build failures fixed

reports with applied:true mean the fix actually touched the tree

review
→ PR issues caught

every error/warning finding in a review report, before the PR merges

score
→ perf regressions + issues prevented

the performance dimension findings, and new problems caught on the latest run

sec / arch / a11y / soc2
→ issues detected

error+warning findings from every committed scan — and approved scans count as prevented

.vectalon/upgrades/
→ RN upgrades completed

one provenance dir (with UPGRADE.md) per completed upgrade run

feature-development
→ tests generated

test files written by every workflow run, counted recursively

See your own ledger — it takes as long as the agents you've already run:

$ npx vectalon outcomes --rate 75