For decades, software engineering has focused on code correctness.
Functions.
APIs.
Integrations.
Infrastructure.
AI agents add another layer.
Behavior.
Two identical systems can behave differently depending on context, memory, tools, and user interaction.
That means traditional testing alone is no longer enough.
Teams need to evaluate:
Does the agent stay within policy?
Does it use tools responsibly?
Does it recover from ambiguity?
Does it remain consistent across conversations?
Does behavior change after deployment?
These aren't code questions.
They're behavior questions.
And that's why behavioral validation is becoming a core engineering discipline.
That's why we're building Crucible.
Pytest for AI Agents.
Top comments (0)