Agentic AI Orchestration
As an Architect, you don't build scripts; you build systems. Design a multi-agent mesh that autonomously detects, analyzes, and heals regressions.
The Architectural Goal
Design a Quality Agent Mesh for a mission-critical checkout service. The system must reduce "human-in-the-loop" requirements for flaky tests and minor UI changes by 80%.
Defining Agent Roles
A resilient mesh requires specialized agents. Draft the configuration for your "Orchestrator" agent using the modern Agentic Manifesto patterns.
Implementing Self-Healing Logic
Configure a Playwright locater strategy that leverages an LLM backup when traditional CSS/XPath selectors fail due to design updates.
// 2026-Grade Agentic Locator
const buyButton = page.locator('button#buy-now').or(
page.getByRole('button', { name: /buy/i }).agentic({
intent: "The primary action to complete the purchase",
backup_context: "green-themed button near total price"
})
);
await buyButton.click();Note: .agentic() is a modern-standard extension to the Playwright API provided by Agentic AI providers.
Governance & Audit
How do you verify the AI isn't "hallucinating" passing tests? Implement an Immutable Audit Trail that records the prompt, the response, and the visual diff for every autonomous fix.
// Log AI decisions for human review
await ai_governor.recordDecision({
action: "self_heal",
original_selector: "button#buy-now",
new_selector: "button.purchase-btn-v2",
visual_confirmation: true
});