AI Test Generation: Requirements to Code

TestMu AI provides a complete workflow to convert your manual test requirements into fully automated test scripts,from requirement input to executable code. This guide walks through the end-to-end flow using Test Manager and KaneAI.

Overview

The conversion flow has four stages:

Set up your project in Test Manager
Provide requirements,text, documents, images, audio, Jira/ADO tickets, or record user interactions
Generate test scenarios,AI creates structured test cases from your input
Automate and export code,convert generated test cases into automation scripts across frameworks

Step 1: Create a Project

Start by creating a project in TestMu AI Test Manager. A project is the container for all your test cases, test runs, and configurations.

Navigate to Test Manager.
Click Create New Project.
Enter the project name and description.
Save the project.

For detailed steps, see Create Projects.

Step 2: Generate Test Scenarios with AI

Navigate to the Test Case Listing page within your project and click Generate With AI.

You can also access this from KaneAI by clicking Generate Scenarios on the Agent page.

Supported Input Formats

Provide your requirements in any of the following formats:

Input Type	How to Add
Text	Type your requirement directly in the input box
Documents	Upload PDFs, spreadsheets (CSV/XLSX), JSON, XML
Images	Upload screenshots, wireframes, or UI mockups
Audio	Record audio or upload audio files describing the feature
Videos	Upload walkthrough or demo videos
Jira Tickets	Link Jira issues (epics, stories, tasks) via the pin icon
Azure DevOps	Link ADO work items via the pin icon

Enter requirements for AI test generation

tip

Before generating, configure Max Scenarios, Max Test Cases per Scenario, and toggle Memory Enhancement to leverage your existing test case repository and avoid duplicates.

Press Enter to generate. The AI analyzes your input and produces structured test scenarios with test cases.

Each scenario is tagged with priority (Must have, Should have, Could have) and each test case is categorized as Positive, Negative, or Edge.

Refine with Conversation Layer

After generation, use the Conversation Layer to refine your test cases through natural language,add coverage, remove duplicates, reorganize scenarios, or update details without manual editing.

Conversation Layer for refining test cases

For the full guide on conversational refinement, see AI Test Case Generator.

Step 3: Save or Automate

Once your test scenarios are ready, select the test cases you want to keep and choose one of two paths:

Option A: Create Test Cases

Click Create to save the test cases to your Test Case Repository in Test Manager. These can be used for manual test planning, assigned to test runs, or shared with your team.

Option B: Create and Automate with KaneAI

Click Create and Automate to save the test cases and automatically send them to KaneAI for automation. KaneAI executes each test case using natural language understanding and generates automation scripts.

Step 4: Generate Automation Code

Once KaneAI has automated your test cases, you can generate code in multiple frameworks and languages.

Open the automated test case in KaneAI.
Click Generate New Code.
Select your desired framework and language.

Code generation page with framework selection

Supported Frameworks

Platform	Framework	Languages
Web	Selenium	Python
Web	Playwright	JavaScript, Python
Web	Cypress	JavaScript
Web	WebdriverIO	JavaScript
Mobile	Appium	Python, Java, JavaScript

The generated code is fully accessible,download it, customize it, and integrate it into your CI/CD pipeline or execute it on TestMu AI HyperExecute.

For the full code generation guide, see KaneAI Code Generation.

Alternative Path: Record User Interactions

Instead of providing written requirements, you can use KaneAI's Manual Interaction Mode to record real user actions and convert them into automated tests.

Start a new test in KaneAI.
Switch to Manual Interaction mode.
Perform actions on your application,clicks, form fills, navigation.
KaneAI captures each action and converts it into test steps.
Generate automation code from the recorded steps.

This is useful when requirements are easier to demonstrate than describe, or when you want to capture existing user workflows as automated tests.

For the full guide, see KaneAI Manual Interaction Mode.

End-to-End Flow Summary

Requirements (text, docs, images, audio, Jira, ADO)
        │
        ▼
   AI Test Case Generator (Test Manager / KaneAI)
        │
        ├── Create ──► Test Case Repository (manual testing)
        │
        └── Create and Automate ──► KaneAI Automation
                                        │
                                        ▼
                                  Code Generation
                              (Selenium, Playwright,
                               Cypress, Appium, etc.)
                                        │
                                        ▼
                              Download / CI/CD / HyperExecute

Create Projects: Set up your Test Manager project
AI Test Case Generator: Full guide for AI-powered test case generation
KaneAI Manual Interaction: Record user actions to create tests
KaneAI Code Generation: Export automation scripts in multiple frameworks
KaneAI Test Planner: Generate tests from high-level objectives
KaneAI Jira Integration: Generate tests from Jira tickets
Getting Started with HyperExecute: Execute automated tests at scale

AI Test Generation: Requirements to Code

Overview

Step 1: Create a Project