A test automation example
This page presents a focused example application whose code was generated using AI.
The application itself does not use AI at runtime.
AI was used purely as a development tool during implementation.
If you’d like to discuss how AI-generated code could be analyzed in your own environment, happy to talk.
What this application does
- Web application test automation
- Recording tests based on user interactions
- Replaying tests later as part of integration or regression testing
- Playwright for test execution
- OCR and text recognition for UI observation when DOM-based detection is insufficient
This is not a commercial product, but a deliberately scoped technical example.
AI was used to:
- generate application code
- accelerate repetitive development work
AI was not used to:
- create tests automatically
- make runtime decisions
- operate the system in production
Architecture, boundaries, and behavior were defined and validated by humans.
AI can generate large amounts of code very quickly.
That alone does not guarantee that the result is:
- safe
- maintainable
- scalable
- long-term viable
This example illustrates why AI-generated code always requires proper analysis, validation, and technical judgement before production use.