Test Automation
When you rewrite a component, migrate to a new library, or refactor a complex algorithm, the hardest question is: "Did I break anything?" Your test suite only catches what it explicitly tests. Differential testing asks a different question: on the same inputs, does the new code produce the
Test Automation
Running your entire test suite on every commit is safe but slow. A 45-minute test run discourages frequent commits, creates a bottleneck in CI, and provides little additional safety over a well-selected subset of tests. Delta testing — also called change-based testing or test impact analysis — runs only
Testing Strategies
Canary deployments and shadow deployments both use production traffic to validate new code before full rollout. Both reduce release risk compared to big-bang deployments. But they expose different amounts of risk to real users and answer different questions — choosing the wrong one can either leave dangerous bugs undetected or
Approval Testing
The problem with complex outputs isn't that they're hard to test — it's that the obvious way to test them is wrong.
Testing Strategies
Both A/B testing and shadow testing run new code against real production traffic. Both are used to validate changes before full rollout.
AI Testing
Multi-agent systems do not fail the way ordinary software fails. A single misrouted request, a tool that returns an unexpected shape, or a termination condition that never fires can cascade into hours of wasted compute and completely wrong outputs — with no stack trace to show for it. Testing them