You Can't Test an Agent Like You Test Code — Here's Why That Matters

You Can't Test an Agent Like You Test Code — Here's Why That Matters Your test suite passes. All 500 tests green. You deploy the update. Then the agent does something unexpected in production. Non-determinism. Multi-step workflows. Emergent behavior. These are the things QA departments were not trained to handle. Traditional testing frameworks assume: Deterministic execution — same inputs → same outputs Bounded behavior — the code does what it's coded to do Error surfaces immediately — broken paths fail fast Agents violate all three assumptions. Why Traditional QA Breaks for Agents An agent workflow might be: Navigate to 5 websites Extract data from each Cross-reference information Make a decision based on pattern-matching Execute an action You can unit-test each step. But can you test what happens when the website changes its layout mid-extraction? When the agent encounters unexpected content? When two data sources contradict each other? You can't. Not with traditional test frameworks