From solo devs to growing teams, LogicGuard helps engineers validate AI-generated code against business intent before it ships.
What engineers say
Share your experience
Your feedback helps other engineers discover LogicGuard. Testimonials are reviewed before publishing.
Sign in to share your testimonial
Sign inCase studies
See how engineering teams use LogicGuard to validate AI-generated code and ship with confidence.
Meridian Health · Healthcare SaaS
Meridian’s team of 12 was shipping fast with AI-generated code. LogicGuard’s static rules flagged missing auth guards and intent mismatches on the very first scan — the AI had generated code that passed tests but skipped critical business validation.
3
logic gaps caught
<1 wk
time to first finding
50+
rules scanned
NovaPay · Fintech
NovaPay’s microservices used hundreds of npm packages. LogicGuard’s dependency scanner (powered by OSV.dev) surfaced 23 known vulnerabilities across the stack, ranked by severity.
23
CVEs identified
14
services scanned
4
critical findings
Stackline · Marketing analytics
Stackline pastes Jira ticket descriptions into every scan. LogicGuard’s AI validates that the generated code actually implements the stated requirements — catching missing edge cases and hallucinated methods before code review.
50%
fewer logic bugs
8 hrs
saved per week
3s
avg scan time
Paste your ticket, scan the code, and see your first results in under 60 seconds.