Design Tests with AI

Prepare test cases for a feature using its requirements and implementation context. Review the proposed checks and expected outcomes before accepting them.

Start with Reqode

Start from a product rule

REQ-1 defines how repeated assignment preserves state and rechecks access. Open AI Test Designer.

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.

FieldDesk: review the proposed 14-day delegation limit test, linked to REQ-1, with editable steps and expected results before Apply. — Review the proposed delegation limit test, its steps and expected results. The FieldDesk extension and test cases are awaiting review.

FieldDesk: proposed delegation expiry test with steps and expected results for access ending at Asia/Nicosia midnight. — Review the proposed delegation limit test, its steps and expected results. The FieldDesk extension and test cases are awaiting review.

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Test cases remain linked to the behavior they validate, making missing and outdated coverage easier to identify.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

From design to execution

Prepare and review test cases with AI Test Designer. Organize the accepted cases in Test Management, then use a person or an external QA agent to execute them and record results.

Turn living requirements into a living QA baseline

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

Design Tests with AI

Start from a product rule

Spot an outdated test

Start from product behavior, not a blank test form

A human-controlled test design workflow

1. Select the behavior

2. Clarify what matters

3. Review the proposal

4. Edit and apply

Keep test design connected to the evolving product

Requirement-based coverage

Branch-aware changes

Execution-ready output

From design to execution

Turn living requirements into a living QA baseline

Let’s talk about what you need

Design Tests with AI

Start from a product rule

Start from product behavior, not a blank test form

A human-controlled test design workflow

1. Select the behavior

2. Clarify what matters

3. Review the proposal

4. Edit and apply

Keep test design connected to the evolving product

Requirement-based coverage

Branch-aware changes

Execution-ready output

From design to execution

AI Test Designer

MCP for QA Agents

Turn living requirements into a living QA baseline