Agentic AI Forces Software Testing To Track Every Execution Path

Agentic software is pushing testing beyond a single final response by requiring teams to evaluate the full path an application takes, including model calls, tool use, retries, state changes, resource consumption and output quality. The shift matters because agentic workloads can continue operating for extended periods without a person reviewing every intermediate result. A workflow may call a model several times, invoke external tools, recover from a failed connection or change its state before producing an answer. Traditional testing often assumes that jobs finish quickly, retries are inexpensive and the same input produces the same output.

Source: TokenPost