Introduction
This section compares common QA approaches (and the tools that enable them) with TestChimp’s approach across key workflow steps: test planning, functional automation, exploratory UX testing, and requirement/UX traceability.
Questions this section answers
- What’s the difference between test planning in an issue tracker vs test planning as code?
- Do “pure agentic tests” replace Playwright scripts? What do you lose?
- How do SmartTests combine script determinism with agentic flexibility?
- Can exploratory agents replace manual testing? For which bug classes?
- Why do “give us a URL and we’ll explore” agents break down in real apps?
- What does “requirement traceability” look like when it’s in-code instead of stitched across tools?
Start here
- Test planning: Generic issue trackers vs TestChimp for test planning
- Functional automation: Pure agentic tests vs TestChimp SmartTests
- Script-first teams: Pure scripts vs TestChimp SmartTests
- Manual testing replacement: Exploratory test agents vs manual testing
- Explorer design: TestChimp ExploreChimp vs typical agentic explorers
- Traceability: Traditional traceability vs TestChimp’s in-code approach