A practical QE philosophy
Tools change quickly; principles last longer. A strong Quality Engineering model detects important problems early, produces fast evidence, survives product change, and helps teams learn.
Principles 1–5
- Quality starts before code. Requirements, architecture, data, and operational choices create quality risk early.
- Testability is designed. Expose state, interfaces, logs, and controllable dependencies.
- Fast feedback beats late feedback. Fail close to the source of the problem.
- Test at the lowest effective layer. Do not use UI tests for rules that can be validated reliably lower down.
- Automate repeatable value. Prioritize stable, frequent, objective, high-value checks.
Principles 6–10
- Risk determines depth. Critical flows deserve stronger validation.
- Evidence must be observable. Results should be explainable and diagnosable.
- Reliability is part of the test system. Flaky tests and unstable data are engineering problems.
- Production feedback matters. Incidents and telemetry should reshape coverage.
- Quality failures should improve the system. Repeated escapes should change design, automation, monitoring, or process.
Test at the lowest effective layer
Few End-to-End
/ \
UI Mobile
/ \
API / Integration
/ \
Component / Contract
\ /
Unit Tests
Many
How to use these principles
Use the principles during design reviews, automation strategy, code reviews, CI design, incident retrospectives, and quality maturity assessments. They are decision filters, not bureaucracy.
Mature QE question: What is the fastest trustworthy way to expose this risk?