AI Code in Production: Best Practices for Reliability
A reliability engineering perspective on shipping AI-generated code safely.
T
Test Engineer
May 22, 2026· 1 min read
The Reliability Problem
AI-generated code passes initial review because it reads well. But reading well and working correctly are different things.
Testing Strategies for AI Code
Property-Based Testing
AI-generated code needs property-based testing that verifies invariants across many random inputs.
Mutation Testing
Run mutation tests specifically on AI-generated modules.
Review Gates
The Two-Pass Review
- Correctness pass: Does this code do what it claims?
- Integration pass: Does this code interact correctly with the rest of the system?
Monitoring in Production
Canary Deployments
Deploy AI-generated changes behind a feature flag first.
The Bottom Line
AI code in production requires a different quality assurance approach.
best practicestestingproductionreliability
T
Test Engineer
Senior Engineer
Full-stack engineer specializing in AI integration and developer tooling.