Q9 of 21 · AI for testing
What are agentic testing tools and how do they differ from traditional automation frameworks?
Short answer
Short answer: Agentic testing tools use an AI agent to plan actions, execute them against a live browser or API, and evaluate outcomes — without a pre-scripted sequence of steps. Traditional frameworks execute a fixed, deterministic script; agentic tools explore and decide what to do next based on the current state.
Detail
A traditional Playwright test executes exactly the steps you wrote: click this button, fill that field, assert this text. An agentic tool receives a higher-level goal ("log in and add an item to the cart") and lets an AI model decide how to achieve it by observing the current page state.
The plan-act-verify loop is the core cycle: plan the next action, execute it, observe the result, repeat.
The trade-offs are significant. Agentic tests are slower (each action involves an LLM call), non-deterministic (the agent may take a different path each run), expensive (cost per token at scale), and harder to debug. They shine for exploratory coverage of frequently-changing UIs where maintaining a scripted test is too expensive — not for regression of critical deterministic flows like payment processing.
See Agentic testing landscape, Agentic testing case studies, and Agent cost and latency for current tool comparisons and cost trade-offs.