DFT AI Studio
From User Stories to Test Automation – Powered by AI
Generate user stories, create manual test cases, and convert them into automation scripts. Record web and mobile journeys, validate UI and database data, and manage test execution from one connected workspace.
One Studio for Requirements, Test Creation, Automation and Execution
DFT AI Studio is an AI-assisted testing workspace that helps teams move from requirements to reusable automation. Turn a prompt into a user story, generate manual test cases, and convert reviewed test cases into automation scripts. Built around Cucumber, Selenium, and Appium, Studio also supports web and mobile recording, UI comparison, database validation, and execution reporting. Testers and developers can review and refine generated outputs at every stage, keeping automation aligned with business requirements and expected application behaviour.
Turn Ideas into User Stories
Generate structured user stories from plain-language prompts to support requirement discussions and test preparation.
Create Manual Tests with AI
Transform user stories into manual test cases that your team can review, refine, and approve.
Accelerate Automation Development
Convert approved manual test cases or recorded application flows into editable automation assets.
Validate Applications Across Layers
Bring web, mobile, UI, and database checks together to assess functionality, appearance, and data consistency.
Our Approach
01.Capture the Requirement
Start with a prompt to generate a user story, or bring an existing story or manual test case into the workflow.
02.Generate and Review Manual Tests
Create test cases from the user story, then validate their relevance, steps, and expected outcomes with your QA team.
03.Build the Automation
Convert reviewed manual tests into automation scripts, or record web and mobile flows to generate features and page objects.
04.Extend Your Validation
Add assertions, UI comparisons, database mappings, and schema checks where they support the scenario.
05.Execute Your Tests
Run selected scenarios locally or through your configured grid, cloud browser service, or mobile device farm.
06.Review Results and Refine
Investigate failures, review AI suggestions, and maintain your automation as requirements and applications change.
AI-Assisted User Story Generation
Turn your ideas into structured user stories with DFT AI Studio. Describe a feature, user need, or business process in plain language, and let AI prepare a story that captures the user’s goal and intended benefit. Your team can review the output, clarify details, and refine the story to reflect business expectations. This reduces repetitive drafting and provides a shared foundation for generating manual test cases and automation scripts. With review at every stage, teams can move from an initial idea towards testable requirements while keeping the business outcome in focus. The structured stories help business analysts, developers, and testers build a common understanding of what needs to be delivered.
Manual Test Case Generation from User Stories
Transform user stories into structured manual test cases with DFT AI Studio. Provide a user story, and let AI prepare test steps and expected results for your QA team to review. The generated cases offer a starting point for validating intended behaviour and identifying requirements that need clarification. Testers can refine steps, adjust expected outcomes, remove irrelevant scenarios, and add application-specific checks before approval. This reduces repetitive test-writing effort while keeping coverage aligned with business expectations. Reviewed test cases also provide a foundation for conversion into automation scripts, connecting manual test design with your automation workflow.
Manual Test Cases to Automation Scripts
Turn reviewed manual test cases into editable automation scripts with DFT AI Studio. Use approved test steps and expected results as the foundation for generating automation, reducing repetitive coding and helping teams build executable coverage faster. Review and refine the generated scripts to match your application, element locators, test data, and framework conventions before execution. Developers can maintain the resulting files in their preferred IDE, while testers continue managing scenarios through Studio. This connects manual test design with automation development and helps preserve the business intent behind each scenario.
Web Recording and Object Spy
Turn browser interactions into reusable automation with DFT AI Studio’s Web Recorder. Capture application journeys in Chrome, including clicks, inputs, assertions, waits, alerts, and tab switches, then generate Gherkin scenarios and page objects from your recorded actions. Use Object Spy to inspect elements, assign meaningful names, and capture multiple locators for each page object. Create new scenarios, insert steps into existing tests, or replace steps as application workflows change. Preview the generated files before applying them to your project, giving your team an opportunity to review and refine the output.
Android and iOS Test Automation
DFT AI Studio’s mobile workspace brings Android and iOS recording, inspection, and execution together through Appium. Connect a device or emulator, inspect its live element hierarchy, and capture taps, inputs, and assertions alongside application screenshots. Object Spy helps identify elements and add missing fields to the selected page object. Generate mobile feature files using a consistent scenario structure, then execute them using Cucumber tags. Compatible remote Appium endpoints extend playback to device farms.
AI-Assisted Scenario Expansion and Locator Healing
DFT AI Studio helps teams expand recorded tests with AI-generated positive and negative scenarios, improving coverage while reducing repetitive test design. Review the suggestions and select those that match your business requirements. Use the DFT AI Assistant to describe UI flows in plain language and assist with browser actions and feature generation. When existing locators fail, AI-assisted healing suggests replacement locators for your team to review before applying changes. Together, these capabilities help teams explore additional test scenarios, respond to application changes, and simplify automation maintenance while keeping control over test quality and accuracy.
UI and UX Validation
DFT AI Studio helps teams validate application screens against approved designs and visual baselines. Capture references from Figma, live web applications, or mobile sessions, then compare them with the application under test to identify visual differences. Refine baseline elements, adjust names and crops, and select the properties that matter to your review. Choose Strict, Style Only, Content Only, or Visual Only comparison modes to focus your checks. Batch capture and multi-screen summaries simplify broader reviews, while saved local baselines support offline comparisons without additional Figma API calls. This helps teams maintain visual consistency and spot unintended interface changes across releases.
Accessibility Testing
Build more inclusive digital experiences with accessibility testing. Assess application screens for barriers that can affect people with visual, hearing, motor, or cognitive disabilities. Combine automated checks with manual review to evaluate colour contrast, keyboard navigation, focus visibility, accessible labels, and screen reader support. Review headings, image alternatives, form instructions, and error messages to help users understand content and complete key tasks. Document findings, prioritise fixes, and repeat checks as your application evolves. Including accessibility in your testing workflow helps teams identify usability barriers earlier and improve access for a wider range of users.
Database Data and Schema Validation
DFT AI Studio’s database capabilities help teams check data consistency and identify schema changes. Configure reusable MySQL and PostgreSQL connections, compare tables or SELECT query results, and map columns using keys that pair corresponding rows. Apply filters and value assertions, then add the comparisons as executable scenarios. Capture schema baselines and compare them with the live database to review structural differences. Passwords are kept out of generated feature files, and reports provide results for investigation.
Project Explorer and Integrated Editing
DFT AI Studio’s Project Explorer keeps feature files, page objects, baselines, and reports organised within each tester’s workspace. Edit scenarios directly in Studio, switch between Gherkin and Flow views, and inspect JSON files in a readable format. Run a single scenario or an entire feature from the editor to validate changes and get faster feedback. Developers can also review and refine generated automation files in Cursor, IntelliJ IDEA, or VS Code, using familiar tools to maintain the same assets. By bringing navigation, editing, and execution together, Studio helps testers and developers manage reusable automation as application requirements evolve.
Flexible Execution and Historical Results
DFT AI Studio helps teams run tests locally or across configured remote infrastructure from one workspace. Use DFT Agent for local Chrome and Appium execution, Selenium Grid or BrowserStack for remote web playback, and compatible Appium device farms for mobile testing. Select scenarios using Cucumber tags, start execution, and stop active runs when needed. Review historical results and available Cucumber reports to understand outcomes and investigate failures. Recording remains connected to the tester’s laptop agent, while playback follows the selected execution target. This flexibility helps teams reuse automation across different testing setups and keep previous results available for review.
Shared Studio with Individual Workspaces
DFT AI Studio’s shared deployment brings your team together through one Studio URL while giving each tester a separate session and workspace. Administrators manage accounts, and testers connect their computers using DFT Agent for Windows or Mac. Browser and mobile recording run through each tester’s agent, while generated files remain organised in their individual server workspace. Team members can create tests concurrently without overwriting one another’s work or maintaining a full framework checkout on every laptop. This setup simplifies tester onboarding and supports independent test creation within a centrally managed Studio environment.
Why DFT AI Studio?
Connect Requirements with Automation
Move from prompts and user stories to manual tests and automation within a connected workflow.
Reduce Repetitive Test Preparation
Use AI-assisted generation and recording to reduce repeated drafting, scripting, and setup work.
Validate More Than User Actions
Combine functional tests with UI comparison and database checks for a broader view of application quality.
Keep Automation Editable
Work with familiar Cucumber, Selenium, and Appium assets that your team can inspect and maintain.
Keep Your Team in Control
Review generated stories, test cases, scripts, and locator suggestions before adopting them.
Support Individual and Team Workflows
Start locally or use a shared Studio with separate tester workspaces and flexible execution targets.
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