QUALITY & TESTING
Replace assumption with evidence.
Software can appear correct while important problems remain hidden. A page may load while keyboard navigation fails. A feature may work at one screen size and break at another. A small change can also damage behavior that worked before.
Testing provides evidence about software at a point in time. Quality engineering uses that evidence throughout development.
QUALITY EXPECTATIONS
Define what useful and dependable mean.
Requirements and acceptance criteria establish behavior that can be checked. Other expectations describe qualities such as keyboard access or responsive layout. Testing becomes more useful when the expected result is clear.
DIFFERENT TESTS ANSWER DIFFERENT QUESTIONS
Choose evidence that fits the risk.
Focused tests check a small piece of behavior quickly. Integration tests show whether important parts work together. Browser tests exercise an experience through its interface. Human review examines qualities that automated assertions cannot fully judge.
BrokenPickaxe.com uses these layers for real behavior. Tests cover consultation handling and protected application boundaries. Browser checks exercise public routes and responsive interactions. Accessibility checks supplement keyboard and visual review.
REGRESSION
New work should not quietly break old work.
Regression tests protect behavior that should survive change. A passing suite does not mean the application is perfect. It provides evidence that the covered behavior still works.
ACCESSIBILITY AND RESPONSIVE REVIEW
The interface must work beyond one screen and one input method.
Keyboard behavior and focus visibility can be checked. Structure and semantics can be inspected. Contrast and reflow also need attention.
Automated tools can identify some problems. Manual review remains important because a scanner cannot judge every barrier or visual choice.
DELIVERY AND RUNTIME VERIFICATION
Check the result where it is expected to run.
Build checks support confidence before delivery. Runtime checks then verify that the intended application is healthy and reachable in its environment. Each result should be interpreted within the conditions where it was observed.
PROPORTIONAL VERIFICATION
Test what matters to the work.
A small informational site and a complex business application do not need identical strategies. Verification should reflect the product and its risks.
More testing is not automatically better testing. The useful question is whether the evidence addresses what matters.
Test what you claim. Claim what you can support.
Quality does not come from a green check alone. It comes from defining what matters and checking it with appropriate evidence.
Next: AI-Assisted Engineering