Case study
Devzy
AI code validation and governance for regulated teams
Problem
Engineering orgs in regulated industries need trustworthy AI code review that covers security, compliance, and quality — not vibes-based suggestions.
Solution
An AI-native Human-AI validation platform with conversation feedback loops, GitHub-native scanning, EVALS, and multi-model orchestration — Defender for AI non-deterministic outcomes across the SDLC.
Architecture
React client + Node.js APIs, GitHub Webhooks/Actions pipeline, multi-LLM router (GPT/Claude/OSS), EVALS harness, and a 6-layer validation engine (Architecture → Experience).
Outcome
50%+ accuracy improvement vs single-model approaches and ~33% cost savings via orchestration; production validation across Architecture, Compliance, Security, Performance, Quality, and UX.
Tech stack
Challenges
- ▹Keeping multi-model outputs consistent across security and compliance dimensions
- ▹Real-time PR feedback without blocking developer flow
- ▹Measuring quality with EVALS instead of anecdotal review