Pushing a Replit project's 18,360 outcomes down to 57
Cover is generated by this site (not the creator's media).
WHAT IT DOES
The project has 18,360 possible outcomes — every combination of states the app can end up in. Manual fixes were slow, and each one risked breaking another outcome.
JEV was used to go through the outcomes in one pass. According to the author, everything was resolved except 57 cases that genuinely have several valid options and need a human call.
Reported by the creator on X. The repository was not inspected by this site.
Summary written by this site
FROM THE ORIGINAL POST
I have been working on a project inside @replit, and it has 18360 possible outcomes. For months, I have been trying to correct them, but each fix could lead to another outcome error. @typesafeai Jev just fixed all but 57 — Aaron Horne · Original post
JEV ROLE
Classification
Choice
#code#verification#accuracy
WHERE IT SITS
HOW IT WORKS
INPUT18,360 possible outcomes of a Replit project
JEVClassification
OUTPUTthe outcomes that are actually wrong (57 left to review)
REPORTED RESULT
Reported accuracy18,360 outcomes → 57 left to review
Reported by the creator, not independently verified.
WHAT THE POST SHOWED
No observable metrics recorded. Metrics are only published when they can be tied to a source link.
SOURCE
↗ Original postSource checked
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