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1.12Interview Depth Check

Question 1

Prompt: Explain the difference between "intent" and "implementation" in browser test automation. Why does this distinction matter? A strong answer covers:

  • Intent is the purpose ("user can log in and reach the dashboard"); implementation is the mechanism (click('#submit-btn'), waitFor('.dashboard'))
  • When a selector changes, intent is unchanged but implementation breaks; traditional tools see only implementation, so the test fails
  • Agents bridge the gap: they take a fresh snapshot, find the button labeled "Submit," and click it by ref
  • UI details change constantly; business logic rarely does. Intent-driven tests break only when the logic breaks -- which is when you want them to

Question 2

Prompt: Describe the six-layer architecture of the skill-based stack. What happens if a layer is removed? A strong answer covers:

  • Test Definitions: without them, no repeatable, versioned specifications
  • AI Agent with skill loaded: without it, no reasoning or adaptation; without the skill, the agent does not know the CLI exists
  • Bash Tool: without it, the agent can reason but cannot execute -- intelligence without action
  • playwright-cli: without it, the agent writes raw Playwright code, paying tokens for boilerplate and losing disk-first snapshots
  • Playwright engine and browser: without them, no reliable waiting/actionability, and nothing to automate

Question 3

Prompt: Why has SKILL.md become a de facto cross-agent standard, and what does that mean for QA? A strong answer covers:

  • Near-zero barrier: a skill is a markdown file with YAML frontmatter -- no compilation, server, or API key
  • Portability: one file works in Claude Code, Cursor, Gemini CLI, and Codex CLI, so teams are not locked to a vendor
  • Vendor adoption closed the loop: playwright-cli install --skills means the tool ships its own teaching material; skills.sh adds discoverability
  • The generated skill is commodity infrastructure; the differentiator is architecting frameworks around it -- test design, self-healing, CI, token optimization
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