Week 1 Exercise - Exploring Gen AI for Testers

I selected ‘For fun’ in ‘Free’ tools and found the following to be interesting:

Me.bot: A tool to organize thoughts, manage information, and support creativity. an AI companion app that helps users organize their thoughts, notes, and other information, acting as a "second brain" and offering personalized insights and conversations to foster productivity and self-reflection.

Intellectia.AI: AI-powered investment research platform that aims to democratize financial analysis by providing global investors with cutting-edge intelligence and tools for making informed decisions. 

Charmed: A platform for 3D game development with mesh creation, texturing, animation, and quest generation.

​@parwalrahul ​@Mustafa 

I spent some time browsing through FutureTools.io looking for AI solutions that could actually help me in my testing role. After scrolling through hundreds of options, these three caught my attention:

Tool 1: Polygraf AI

Key Features/Capabilities:

• Detects AI-written content in text
• Shows you if something was written by a human or machine
• Gives you a breakdown of what parts might be AI-generated

Example Use Case for Testing: I've been thinking about how we're starting to use AI-generated test data at work, and we really need a way to verify it's doing what we expect. Polygraf would let me check if the test data follows our requirements or if an AI has changed things it shouldn't have. I'm also working on a project with content filters, and this would be perfect for checking our outputs against what we expect.

Tool 2: MindStudio

Key Features/Capabilities:

• Build AI apps without coding - huge time saver!
• Works with different AI models so you're not locked in
• No need to be an AI expert to use it

Example Use Case for Testing: I've been wanting to try something like this! Last sprint I manually checked hundreds of UI screenshots across devices - such a waste of time. With MindStudio, I could probably build something to scan those images automatically and flag the issues. I'd also love to try building something that reads our bug reports and suggests priority based on impact. Beats learning Python machine learning libraries from scratch.

Tool 3: Remio

Key Features/Capabilities:

• Organizes your scattered info into something usable
• Makes finding stuff again actually possible
• Connects related information you might miss otherwise

Example Use Case for Testing: Our test documentation is a complete mess right now. We've got Confluence pages, JIRA tickets, shared docs, and it's impossible to find anything. I could use Remio to pull all this together so when we get those recurring bugs, I can actually find the history. Would be great for onboarding new testers too - our current knowledge sharing is basically "ask Sarah, she's been here forever."

These tools seem to cover my biggest pain points: verifying AI stuff works right (Polygraf), building testing tools without a CS degree (MindStudio), and actually finding information in our documentation chaos (Remio). Each addresses a different headache I deal with almost daily.

Cheers,

Ramanan

Happy testing😀

As part of our exploration into Gen AI for testers, I explored the FutureTools catalog and shortlisted three tools that can help enhance daily testing activities, streamline tasks, and improve productivity.

1. Applitools

• AI-powered visual testing that validates UI/UX consistency across screens.

• Supports cross-browser and cross-device compatibility checks.

• Uses Visual AI to automatically flag visual mismatches, layout shifts, or rendering issues.

Use Case: Applitools is ideal for validating visual integrity in your applications—ensuring elements like font size, color, alignment, and spacing render consistently across browsers and devices. It's especially useful when performing regression tests on UI components.

2. QA.tech

• AI-driven platform for end-to-end testing of B2B SaaS applications.​

• Utilizes an advanced AI agent to identify bugs faster than traditional methods.​

Use Case: Assists development teams in accelerating the testing process, allowing them to focus more on coding and building while improving efficiency and reducing testing costs.

3. Blackbox AI

• AI-powered code search and generation tool optimized for testers and developers.

• Works like a coding assistant that can explain snippets, generate scripts, and debug.

• Supports multiple programming languages and automation frameworks.

Use Case: Great for writing or debugging automation scripts. I’d use Blackbox AI to quickly generate Selenium or Playwright test scripts based on user flows, or convert JavaScript snippets into Python for cross-project compatibility.

Hi Rahul,
My findings for the week 1- 

1. KaneAI by LambdaTest

• Name: KaneAI

• Features: This tool uses natural language processing to simplify the creation and management of test cases. It supports multiple programming languages, allowing easy integration with existing testing frameworks.

• Practical Use: For example, if you're tasked with testing an e-commerce site's checkout process, you can describe what needs to be tested in simple language. KaneAI will then generate the necessary test scripts, speeding up the test creation and ensuring comprehensive coverage.

2. MOSTLY AI

• Name: MOSTLY AI

• Features: It creates realistic but synthetic data that mimics actual user behavior without using real personal information, ensuring compliance with privacy laws.

• Practical Use: In cases where using real data is risky, such as with sensitive financial information, MOSTLY AI provides a safe alternative that still allows for effective and realistic testing scenarios.

3. aqua cloud

• Name: aqua cloud

• Features: This tool is great for quickly turning testing requirements into detailed test cases, drastically reducing preparation time.

• Practical Use: When a new feature is being developed, aqua cloud can instantly convert project requirements into ready-to-execute test cases, ensuring that testing can begin as soon as possible without delays.

I've taken these insights back to our team, discussing how these tools can make our testing processes more efficient and robust. We've considered integrating them into our workflow to see how they can improve our project timelines and output quality.

​@Ramanan ​@Jeethu ​@Nikhilkulkarni ​@ghanesh thanks for taking part and sharing some wonderful tools.

​@parwalrahul 

I found the following tools:
 

1. Verex is an AI-powered QA automation tool that helps engineering teams reduce time spent on end-to-end scripting, manual testing, and bug triage. Users can define tests using natural language without writing code, trigger tests through CI/CD pipelines or tools like Slack, and receive instant reports with screenshots. The platform also integrates with project management tools like Jira and Trello for automated bug logging. Verex claims to save over 150 engineering hours monthly by accelerating test execution and simplifying debugging, all while supporting fast onboarding and seamless integration into existing workflows.
2. LambdaTest is a cloud-based testing platform that enables cross-browser, mobile app, and automation testing across thousands of real devices and browsers. It offers features like live interactive testing, AI-powered visual regression, and integration with various development tools. Users might choose LambdaTest to improve testing efficiency, reduce costs, enhance test coverage, and ensure consistent user experiences across different environments, ultimately leading to higher-quality software products.
3. Webflow's AI Site Builder is an innovative tool that uses artificial intelligence to streamline website creation. It generates complete website designs, including layouts, typography, colors, and images, based on user input. This tool is ideal for business owners, web developers, and content creators who want to create professional websites quickly and efficiently. Users might choose it for its speed, ease of use, customization options, and ability to create consistent designs without requiring deep technical knowledge. By significantly reducing development time and offering AI-powered design assistance, Webflow's AI Site Builder provides a powerful solution for rapid, high-quality website creation.