Design Tests with AI

Turn requirements and implementation context into reviewable test cases, then decide exactly which AI-proposed changes should become part of your QA baseline.

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Start from product behavior, not a blank test form

AI Test Designer analyzes selected requirements, related specifications, existing test cases, and relevant implementation context.

It can clarify missing decisions before proposing new tests, updates to existing tests, or deprecation of tests that no longer describe the product.

AI Test Designer proposes requirement-based test cases and steps

A human-controlled test design workflow

The assistant prepares structured changes. Your team reviews and applies them.

1. Select the behavior

Choose the requirements that need coverage and optionally add the QA concern or testing goal.

2. Clarify what matters

When the available context is insufficient, the assistant asks only questions that affect coverage or test structure.

3. Review the proposal

Inspect proposed test cases, steps, requirement links, updates, and deprecations in a structured result.

4. Edit and apply

Adjust allowed fields, disable individual proposals, and apply only the reviewed changes to project test cases.

Keep test design connected to the evolving product

Requirement-based coverage

Test cases remain linked to the behavior they validate, making missing and outdated coverage easier to identify.

Branch-aware changes

Test cases follow the same branch-aware model as requirements, so feature work can evolve its QA baseline without rewriting Main prematurely.

Execution-ready output

Applied test cases can be assembled into Test Runs, executed in a selected environment, and tracked through historical results.

Turn living requirements into a living QA baseline

Let AI accelerate test design while your team keeps control of scope, quality, and application.