Week 1 Exercise - Exploring Gen AI for Testers

​@sagar veakria nice tools, your exploration was more around testing specific apps.

Testim is great. 🙌🚀

​@Yastho thanks for introducing me to Omnifact.

it’s an interesting platform.

1. Name of the tool: ChatGPT Exporter (Productivity)

• Key features or capabilities: A tool to extract and save ChatGPT conversations as PDF, Markdown, Text, CSV, JSON, and Image for FREE.
• Example use case: We can save the content that we searched for on our local machine in different formats and can use it later as well. That way one can save time by not searching the same thing again and again.

2. Name of the tool: Samsung Food (For Fun)

• Key features or capabilities: The all-in-one app for recipe saving, meal planning, grocery shopping, and recipe sharing.
• Example use case: We can save recipes from any website to a digital recipe box, making it easy to create, organize, and share our cooking inspiration, can make our recipe collection into a weekly meal plan, can turn any recipe or meal plan into a smart shopping list with one click and take our list to the store, check out online, or share it with our shopping partner, and unlock detailed nutrition info and calorie counts for any recipe we save to Samsung Food—even recipes that we build ourselves.

3. ​​​​​​​​​​​​​​Name of the tool: Postfluencer (Social Media)

• Key features or capabilities: A tool to generate posts with popular writing frameworks to build our brand on LinkedIn effortlessly.
• Example use case: 

1. Post Generator: Create high performing posts based on popular writing frameworks effortlessly.

2. Rewrite posts: Rewrite our existing post the way influencers do.

Tool: linfo.ai
Key Feature: Summarizes Lengthy Content.
Use Case: Summarized a YouTube video.

Tool: Mapify
Key Feature: Create mind maps using AI prompts.
Use Case: Created a mind map using YouTube video of a  CompTIA ITF+ course as a prompt.

Tool: AI Logo Maker
Key Feature: Generate logos based on brand name, slogan and reference symbol/s.
Use Case:  Created logo for an imaginary company.

Interesting possibilities, ​@sabarish .

I am interested to know more about mapify. Do you have the mindmap you created ready with you?

Would love to check it out and know your thoughts on its quality.

P.s. I am also a mindmapping fan!

​@Charmi07 : nice tools explored. especially the #1 and #3.

For #3, i.e. postfluencer, I will try it out. looks like something promising.

​@parwalrahul ​@Kateryna  I missed the first 2 sessions of “Gen AI for testers”. Are the recordings available here or on your youtube?

​@Ravip16 not yet.

Maybe check once with ​@Mustafa 

1. Chatbot Arena (formerly LMSYS): Free AI Chat to Compare & Test Best AI Chatbots

Compared two models, gemini-2.0-pro-exp-02-05 & llama-3.1-8b-instruct

Prompt used: "Generate comprehensive test cases for a shopping cart feature, considering all possible user interactions and edge cases."

gemini-2.0-pro-exp-02-05: 

1. Generated 19 test cases and Categorized them based on Functionality Covering positive, negative and edge cases.
2. Test cases are detailed but Pre Conditions were missing,

llama-3.1-8b-instruct: 

1. Generated 12 test cases.
2. Test cases are generic and have Preconditions.
3. Generated a  test case related to security 

2. https://www.text2sql.ai/

Convert Text to SQL with AI, in seconds

It generates instant queries with the proper input

3. RCP (Right-Click Prompt): AI Prompt Manager

1. It allows you to save prompts in folders through a Chrome browser extension
2. You can access these saved prompts by right-clicking
3. Prompts can be copied to your clipboard for use

​@satishracherla you have found some of the best tools among all the responses till date.

I like how you found stuff with purpose and to help you with essential tasks.

Wasn’t aware about RCP, thanks for mentioning it and educating us all.

Hi ​@parwalrahul ​@Mustafa ​All

I explored the following AI tools across different categories:

1. Salesforce Testing

Tool: TestZeus

TestZeus is an open-source UI automation framework designed specifically for Salesforce applications. It aims to simplify and enhance the test automation process.

Key Features:

• Autolocators: Uses Salesforce's UI API to generate dynamic locators for UI elements, minimizing manual locator definitions and enhancing test stability.

• Natural Language Testing: Enables test creation in plain English using Gherkin syntax, making it accessible to non-developers.

• Zero Maintenance: AI agents adapt to Salesforce updates, reducing manual test maintenance.

• Comprehensive Testing Capabilities: Supports UI, API, accessibility, security, visual validations, and mobile testing.

2. Requirement and Test Case Management

Tool: MindyGem

MindyGem is an AI-powered requirements management platform that streamlines the creation and management of technical documentation, improving product development efficiency.

Key Features:

• AI-Generated Technical Requirements: Automatically generates detailed specifications from UI designs, reducing manual effort.

• User Story and Acceptance Criteria Creation: Facilitates decomposition of requirements into features, user stories, and acceptance criteria.

• Document Generation and Management: Enables users to create and manage documents like briefs, proposals, and technical specifications within a unified knowledge base.

• Collaboration Tools: Offers commenting, status tracking, and labeling features for better team collaboration.

Use Cases:

• Requirement Gathering: Quickly generate project briefs from initial ideas for estimations and detailed planning.

• Requirement Development: Create epics, user stories, and acceptance criteria for structured development.

• Project Management: Planned features include direct ticket creation and test case management to streamline workflows.

3. Self-Improvement

Tool: Screvi

Screvi is a platform designed to help users collect, organize, and revisit reading highlights and bookmarks, transforming them into a personalized knowledge base.

Key Features:

• Unified Highlight Management: Consolidates highlights from Kindle, Twitter, physical books, and web articles into a searchable repository.

• AI-Powered Semantic Search: Provides advanced search capabilities for finding information without exact keyword matches.

• Familiar Interface: Displays highlights in a scrollable feed and Instagram-like stories for an engaging reading experience.

• Cross-Platform Accessibility: Available on browser extensions and mobile applications for seamless access.

Use Cases:

• Personal Knowledge Management: Build a centralized repository of insights from various reading materials for continuous learning.

• Research and Academic Work: Efficiently organize and retrieve information for research purposes.

• Content Creation: Writers can use semantic search to access relevant notes for articles, scripts, and presentations.

These AI tools offer valuable solutions for enhancing productivity, improving collaboration, and streamlining processes across different domains.

​@Kusumketu wow! you really tried three gem of a possibilities.

I personally would want to explore #Screvi as I am a reading buff and sometimes its hard for me to keep track of the things that I learned.

Really liked the exploration and good summarization with crisp formatting. Cheers!

Test Case Generation
One of the leading Generative AI tools for test case generation is KaneAI by LambdaTest. This tool utilizes natural language processing (NLP) to streamline the creation, automation, and management of test cases using conversational inputs.

Key Features & Capabilities
Effortless Test Creation – Enables testers to generate and refine test cases using natural language, simplifying the testing process.
Intelligent Test Planning – Automatically creates test steps aligned with high-level objectives, ensuring consistency with project goals.
Multi-Language Code Export – Converts test cases into various programming languages, supporting frameworks like Selenium and Playwright.
Bi-Directional Test Editing – Allows seamless modifications in both natural language and code, with automatic synchronization.
Smart "Show-Me" Mode – Translates user actions into natural language commands, making test creation more intuitive.
Example Use Case
Consider a company developing an e-commerce application that needs to validate the checkout process.
With KaneAI, a tester can describe the scenario in plain English:
"Verify that a user can add an item to the cart, proceed to checkout, enter payment details, and complete the purchase successfully."

KaneAI then generates an automated test script, exportable into multiple programming languages for integration with the company’s test automation framework—accelerating the process and minimizing manual errors.

Test Data Generation
For test data generation, a notable AI-powered tool is MOSTLY AI. It creates synthetic test data that mimics real production data while ensuring privacy by eliminating sensitive information.

Key Features & Capabilities
Synthetic Test Data Generation – Produces realistic test data that preserves statistical properties without using actual personal information.
Regulatory Compliance – Helps companies adhere to GDPR and other data privacy laws by using synthetic data instead of real user data.
Support for Complex Data Structures – Generates relational data structures with referential integrity, making it ideal for comprehensive testing.
Example Use Case
A financial institution needs to test a new application that processes customer transactions but cannot use real customer data due to privacy regulations.

By leveraging MOSTLY AI, the institution generates synthetic data that accurately simulates real-world transaction behaviors. This enables thorough application testing while ensuring compliance with data protection laws.

Why Choose MOSTLY AI?
It enhances testing quality while safeguarding user privacy, making it an essential tool for enterprises handling sensitive data.

Test Documentation Generation
For test documentation generation, a powerful AI tool is aqua cloud, designed to optimize software testing through automation and AI-driven insights.

Key Features & Capabilities
AI-Powered Requirement Generation – Automatically generates comprehensive requirement sets using natural language, significantly reducing manual effort.
Rapid Test Case Creation – Converts requirements into test cases within seconds, cutting down test creation time by up to 97%.
AI-Driven Test Data Generation – Produces relevant test data quickly, ensuring thorough test coverage.
Example Use Case
A company launching a new e-commerce platform needs to ensure its software is reliable and bug-free.

With aqua cloud, the testing team can define requirements using voice input, automatically generate test cases, and produce test data within seconds. This automation streamlines testing, optimizes resources, and ensures high software quality.

​@Saravanan s thanks for the overview on Kane AI.

I was looking to read more about it from a user’s point of view. Thanks!

free+Inspiration

• Name of the tool: Universal Data Generator
• Key features or capabilities  to generate test data
• Example use case test data generation

free+Inspiration+prompt guides

• Name of the tool Snack Prompt
• Key features or capabilities useful prompts like prompts for automated workflows and swot analysis
• Example use case I’d find for example useful automations for various tasks

• Name of the tool Fusion
• Key features or capabilities A tool to write detailed prompts from basic prompts.
• Example use case I’d find this useful in every aspect if I don’t have good prompts for specific tasks that I haven’t done that much.

​@Hvena super collection.

loved the Snack Prompts website. It’s damn powerful.

Also, I wasn’t able to use the fusion tool. Are you able to use it? 

For me it gives, domain is not available if I try to interact with the page. pls check and let me know.

Hello Rahul ​@parwalrahul  , Please find details of following tools that I found interesting

Name of the tool:  PotPie AI

Key features or capabilities 

Feature: PotPie AI allows users to visually select the data they want to scrape from websites without writing complex code.

Capability: Using a simple, point-and-click interface, we can map data points (like product details, prices, and reviews) directly from the webpage, making it accessible for non-technical users.

Example use case 

To test the responsiveness of your web application across different devices and screen sizes, ensuring that the data is displayed correctly in various resolutions. Use visual scraping and comparison to check that data is presented consistently across desktop and mobile views.

Name of the tool:  Safurai

Key features or capabilities 

Safurai can generate code snippets for classes, functions, and loops, saving  time on repetitive coding tasks.

Example use case 

Safurai can automate test case generation based on existing code. By analyzing the code, it can suggest unit tests and integration tests that can be used to ensure the functionality works as expected.

Name of the tool:  Visily

Key features or capabilities 

Improving the design and collaboration process for both designers and testers.

Example use case 

Testers can swiftly transform ideas into interactive prototypes, facilitating early visualization of test scenarios and user interactions. This accelerates the understanding of application flows and aids in identifying potential test cases.

​@sarika77 nice collections.

I liked the Visily tool the most from your collection. It’s a niche area where AI can really assist folks to get creative.

As part of my QA exercise, I explored the Future Tools website and selected three tools that could be useful for testing and engineering tasks. Here are my findings:

1. Qodex.ai – This tool helps automate software testing by generating test cases, test data, and test scripts. It also detects bugs automatically.
   Use case: I can use Qodex.ai to reduce manual effort in writing test cases and improve test coverage.

2. CodeBeaver – An AI-powered tool that generates and updates unit tests, runs test suites, and finds bugs in code.
   Use case: I can use CodeBeaver to automate unit testing, making it easier to find and fix issues early in development.

3. Cline AI – A tool for A/B testing and split testing, mainly for websites and UI changes. It uses AI to create test variations quickly.
   Use case: I can use Cline AI to test different versions of a webpage or feature and see which one works better for users.

nice one, ​@japankansara 

Also check out some specific ai in testing tools listed here: AI in Testing – Resource Repository - Rahul's Testing Titbits

All the best!

I explored different future tools and selected three tools for testing and engineering tasks. The selected tools are listed below.

1.Qodex.ai
    Key Features: Powerful AI-driven tool that automates API testing and documentation. 
    Use Case: Qodex.ai helps automate API testing by allowing users to write test cases in plain English. It then generates and runs tests automatically, reducing manual effort. The tool also ensures up-to-date API documentation and integrates with CI/CD pipelines for seamless workflow automation.

2. LambdaTest
    Key Features: LambdaTest is a cloud-based testing platform that enables cross-browser, mobile app, and automation testing on thousands of real devices and browsers.
    Use Case: LambdaTest helps developers and testers ensure their web applications work seamlessly across different browsers, devices, and operating systems. By leveraging its powerful testing features, teams can improve the quality, performance, and reliability of their applications.

3. Bagasura:
    Key Features: ​Bugasura is an AI-powered bug tracking tool designed to streamline the process of reporting, managing, and resolving software issues for modern technology teams. It offers a user-friendly interface and integrates seamlessly with popular project management tools, enhancing productivity and reducing technical debt.
    Use Case: Bugasura helps track and resolve bugs efficiently, ensuring stable and reliable software releases. It provides a structured approach to defect reporting and management, streamlining the testing and resolution process. Bugasura integrates with project management tools to enhance visibility into the development process, improving planning and resource allocation. Developers, testers, and other stakeholders can collaborate effectively, ensuring alignment and transparency on issue tracking and resolution.
 

​@Hima Shah nice list.

I have tried bugasura too and it’s a fab product! Built for testers and by testers.

I explored the Future Tools website and found three AI tools that can be really helpful for QA testing. These tools can make testing easier by saving time, reducing errors, and improving test quality.

The first tool is Testim. It helps in automating test cases, meaning it can run tests on its own without much manual work. It also learns from previous tests and adjusts if there are small changes in the website. I would use Testim to test the OpenCart website automatically so I don’t have to repeat the same tests manually every time.

The second tool is ChatGPT Code Interpreter. This tool can help in writing test scripts, finding errors in test logs, and creating test data. I would use it to generate Python scripts for automation, check errors in test reports, and create sample data for testing.

The third tool is Synthetic Data Generator. It creates fake but realistic data, which is useful for testing without using real customer information. I would use this tool to create test data for different scenarios in Projects, such as testing with different types of users or large amounts of data.

These AI tools can make testing faster and more efficient. They help reduce manual work, improve accuracy, and make sure the application works correctly in different situations.

​@Yashvi_Mehta didn’t know about synthetic data generator. will check that out.