The Testing Academy · Masterclass · QA Automation

Cursor for QA.

Name: Cursor for QA
Author: Pramod Dutta

Use an agentic editor to produce traceable test assets, run the right checks, and preserve human ownership of product intent and release risk.

3 parts 12 lessons QA capstone Editable Excalidraw

Before you begin

Start in a branch you can throw away.

Use a synthetic application and test account. Keep production credentials, customer data, signing keys, and release authority outside the editor and every connected tool.

Open the first lesson

Editor: A current Cursor installation and a disposable Git branch.
Automation: Node.js 20+, Playwright, and one focused test command.
Working knowledge: Read requirements, locator failures, terminal output, and Git diffs.
Safety: Synthetic data, least-privilege tools, and a human reviewer.

Part 1 · Foundations

Establish a Safe QA Workspace

Place Cursor inside explicit data, tool, branch, and review boundaries before asking it to create or change a test.

1.1

Cursor's Place in SDLC and STLC

Map agent work to lifecycle artifacts, checks, and accountable owners.

1.2

Install, Index, Privacy, and .cursorignore

Configure indexing and privacy without using real secrets as test data.

1.3

Ask, Agent, Manual, and Custom Modes

Match Ask, Agent, Manual, or Custom mode to the required authority.

1.4

Project Rules for Playwright and Selenium

Replace legacy .cursorrules advice with scoped MDC project rules.

The operating map

Context enters. A bounded diff leaves.

Rules and scoped evidence shape the work. Deterministic commands evaluate the diff. Product intent stays protected, and a person decides whether the candidate is acceptable.

Excalidraw diagram of a bounded Cursor workflow from QA evidence to human review — EVIDENCE -> RULES -> MODE -> DIFF -> TESTS -> HUMAN REVIEW Editable Excalidraw source

Part 2 · Artifact production

Produce Reviewable QA Assets

Feed Cursor a small evidence bundle, demand structured outputs, and verify every generated plan, fixture, page object, and test outside the chat.

2.1

Context Architecture for QA

Assemble intent, evidence, conventions, scope, and a verifier.

2.2

Risk-Based Test Plans and Traceable Cases

Turn requirements into risk-ranked cases with machine-checkable IDs.

2.3

Page Objects, Fixtures, and Test Data

Generate framework-aligned automation without weakening locators or data isolation.

2.4

The Edit-Run-Diagnose Loop

Use fixed commands, one candidate scope, and preserved red-to-green evidence.

Completion evidence

Finish with artifacts another SDET can audit.

The agent's explanation is not completion evidence. Submit the rule, traceability artifact, focused diff, exact command output, and reviewer decision together.

01Scoped Cursor project ruleREQUIRED

02Risk-to-test traceability tableREQUIRED

03Focused Playwright candidateREQUIRED

04Command output and human reviewREQUIRED

course-completion.json

{
  "course": "cursor-masterclass",
  "artifacts": 4,
  "deterministic_check": true,
  "human_review": "required"
}

Part 3 · Integration and governance

Scale With Review Boundaries

Connect external tools and automation only after defining credentials, read/write authority, branch scope, audit evidence, and a human decision point.

3.1

Current product behavior, not remembered shortcuts.

The curriculum was checked against official documentation and current source code where available. The lessons page contains the complete source list and implementation caveats.

Open all primary sources

Cursor Rules: Project rules, MDC files, scopes, and legacy .cursorrules guidance.
Cursor Agent: Agent, Ask, Manual, and Custom modes.
Agent Tools: Search, edit, terminal, MCP, and tool controls.
Working With Context: Context selection and MCP practices.

Give the agent context and tools. Keep acceptance outside its authority.

Open all lessons