AI BriefingAgentic Testing - The Role of Agents in the E2E Test Stack
Key point
An analysis of how agent-based E2E testing differs from traditional deterministic testing and how it can be integrated into existing stacks.
Details
While traditional E2E (End-to-End) testing verifies a specific path (journey) through the UI, agent-based testing verifies whether a user's goal can be achieved. Agents flexibly adjust their path on their own in order to accomplish the goal.
The Slack engineering team compared three execution models through over 200 experiments:
- Agent + Playwright MCP: The agent uses predefined browser actions to read DOM state and interact with it
- Agent + Playwright CLI: The agent executes CLI commands via a shell and decides the next step based on UI state
- Generated Playwright Tests: The agent generates deterministic test code based on natural language descriptions and iteratively revises it
The experiments showed that agent-based testing is more expensive than traditional testing in terms of execution cost ($15–30) and time (over 10 minutes), but confirmed that it can play an important role in the existing test stack as an exploratory testing layer.
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