← Agile Tester: test strategy and decisions
06 / 7 · 40 MIN

Pairs, AI, and test weaknesses

Review how tests produce and share evidence.

Concept and mechanism

Two people can investigate together when different skills help interpret the same failure. In a tester-operator session, one person drives interaction while the other observes states and challenges assumptions; switching roles helps share knowledge. A group session needs an objective and balanced participation to avoid becoming a demonstration dominated by one person. Assess discovery value against all participants’ time. AI tools can suggest variations or draft tests, but the origin of the expectation remains essential. If code and expected results are generated from the same incorrect assumption, a green run merely repeats that assumption.

Guided application

Review a test that passes only after another creates an account. Its precondition is hidden, and failure may depend on order rather than the investigated feature. Prepare required state explicitly. A separate browser context helps isolate cookies and local storage, but it does not automatically clear the shared database. Use distinct test identifiers and an appropriate data setup mechanism. In another example, the expected result says the request is accepted or rejected. Without connecting each outcome to its determining condition, the test accepts incompatible behavior. Split cases or use parameterized data with clear expectations; a weakness indicator requires investigation rather than an automatic conclusion of a product defect.

IN PRACTICE

Browser isolation is not server-data isolation.

Common pitfalls

One colleague dominates; AI invents the oracle; hidden preconditions; vague alternative outcomes.

Related topics: Strategy, risk, and regression · Team, feedback, and specialists · Planning, metrics, and improvement

Take this idea with you

Make state and expectations explicit and review shared assumptions.

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Reference: Playwright browser context isolation · CTAL-AT v2.0 (2026)