Guides for Playwright Locators, Selectors, Bug Reproduction, and Element Context | Samelogic

Read practical guides on Playwright locators, selector strategy, bug reproduction, and element context for QA and frontend teams.

Guide

Playwright locators break when the team picks them without enough UI context.

This guide explains where locator failures usually come from and how live element capture helps teams pick safer Playwright targets.

Guide

CSS selector vs getByRole vs getByTestId is really a question about UI contracts.

This guide helps teams choose the locator that matches their markup discipline, testing standards, and debugging workflow.

Guide

Stop flaky Playwright tests by fixing the selector decision, not just the syntax.

This guide shows how unstable selectors create recurring failures and how teams can capture the live element before choosing a better locator.

Guide

To reproduce a frontend bug well, capture the exact UI artifact behind it.

This guide explains how QA and frontend teams can move from vague bug reports to fix-ready handoff by preserving the exact element, screenshot, and context that failed.

Guide

data-testid works best when the team treats it like a contract.

This guide explains when test IDs help, how they fail, and how teams can evaluate them against CSS selectors and role-based locators using real element capture.

Guide

getByRole vs CSS selector depends on how strong the UI contract actually is.

This guide helps teams choose between semantic and structural locators using the exact UI context in front of them instead of a blanket rule.

Thought Leadership

Browser agents need exact UI context if they are going to touch real web apps safely.

This page keeps agent-context work in a supporting role and ties it back to the core wedge: selectors, QA handoff, and precise UI artifacts.

Thought Leadership

Element context via MCP only matters if the context is exact enough to use.

This page frames MCP around concrete UI artifact data instead of abstract protocol hype, then points back to the selector and bug-reproduction wedge.

Thought Leadership

AI agents need the exact element context behind the screenshot, not the screenshot alone.

This page keeps the argument concrete: agents need selectors, DOM context, and element-level evidence just like human engineers do.