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Our 10 Most-Liked YouTube Videos of 2024

TestMu AI's 10 most-liked YouTube videos of 2024, from the KaneAI launch to a 6-hour design patterns course and Playwright, JUnit 5 and WebdriverIO tutorials.

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These are the 10 videos TestMu AI published on YouTube in 2024 that viewers liked most. They range from a two-minute KaneAI launch clip to a six-hour design patterns course, and several come from multi-part tutorial series, so each entry says what the video covers, who presents it, and where it sits in its series.

For the rest of TestMu AI's 2024 milestones, read 2024 at TestMu AI: A Year in Review. For channels run by other testers, see the top software testing YouTube channels.

The 10 Most-Liked Videos of 2024

Use the table to pick by format and running time. Lengths and publish dates come from each video's YouTube page.

VideoFormatLengthPublished
1. KaneAI launchProduct launch2 minAug 2024
2. Master Design Patterns in 6 HoursFull course, C# examples6 h 16 minApr 2024
3. The Future of Testing: Impact of AI in QAPanel discussion1 h 5 minFeb 2024
4. Create and Run Your First Playwright TestTutorial series, Part 1 (JavaScript)48 minSep 2024
5. Building Core Components for WebTutorial series, Part 2 (C#)1 h 5 minJul 2024
6. How to Tag and Filter JUnit 5 TestsTutorial series, Part 7 (Java)31 minFeb 2024
7. Page Object Model in WebdriverIOTutorial series, Part 5 (JavaScript)15 minJan 2024
8. Top 5 Automation Testing ToolsShort overview2 minDec 2024
9. Gen AI Trends for Quality EngineeringXP Series interview51 minMar 2024
10. GitHub Flow vs Git Flow ExplainedShort explainer2 minJan 2024

1. KaneAI Launch: End-to-End Software Testing Agent

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This two-minute video launched KaneAI on August 21, 2024, as a private beta, presenting it as an end-to-end software testing agent that creates, debugs, and evolves tests from natural-language instructions. The launch features it demos:

  • Intelligent test generation - write and evolve a test as plain-English instructions.
  • Intelligent test planner - turn a high-level objective into automated test steps.
  • Conditionals and assertions - express both in natural language instead of code.
  • Smart show-me mode - perform the actions yourself and get them back as natural-language steps.
  • Multi-language code export - convert a finished test into code for major languages and frameworks.

The current KaneAI also generates tests from PRDs, Jira tickets, and GitHub pull requests, and updates affected steps when the UI changes. Exported code targets Selenium, Playwright, Cypress, and Appium.

Automate web and mobile tests with KaneAI by TestMu AI

2. Master Design Patterns in 6 Hours

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Anton Angelov, co-founder and CTO of Automate The Planet, teaches software design patterns in this six-hour course. The chapters cover Proxy and Adapter, Decorator, Singleton, Dependency Injection, Chain of Responsibility, Strategy, Repository and Factory, Data-Driven Testing, and Builder, with GitHub repositories for the patterns linked in the video description.

The examples are in C#, but the structure carries over to any object-oriented language. Each chapter runs roughly 35 to 47 minutes, so the course works well one chapter at a time.

3. The Future of Testing: Impact of AI in QA

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Recorded at Spartans Summit 2024, this one-hour panel brings together Pricilla Bilavendran, Naveen Khunteta, Ibironke Yekinni, Parveen Khan, Steve Caprara, and Mahathee Dandibhotla to discuss how AI is changing quality assurance work.

The takeaways listed for the session are the evolution of QA, scalability and adaptability, the shift in how testing gets done, and business impact. For a written look at the same topic, read how teams use AI in QA.

4. Create and Run Your First Playwright Test (JavaScript)

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Part 1 of the Playwright JavaScript series is taught by Tapas Adhikary, a full-stack developer and founder of CreoWis. Over 48 minutes he installs Playwright, explains the configuration file, runs a first test and generates a report, tours the VS Code extension and the test recorder, and then runs the suite on the TestMu AI cloud.

To repeat that last step with your own tests, follow how to run your first Playwright test on TestMu AI. For written walkthroughs of the same setup, see the Playwright tutorial.

5. Building Core Components for Web

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Part 2 of Anton Angelov's Advanced Test Automation Framework Development series builds the base layer of a C# web automation framework. The chapters cover the framework structure, WebDriver adapters, find and wait strategies, web components with lazy loading, and dynamic validations.

The code for this part is on the building-core-components-for-web branch of the PolarisLiteTestFramework repository on GitHub.

If adopting an existing framework suits your team better than building one, compare the options in this roundup of test automation frameworks.

6. How to Tag and Filter JUnit 5 Tests

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Part 7 of the JUnit 5 series comes from Rex Jones II, a QA engineer and trainer. In about 31 minutes it covers tag syntax rules, tagging a method and a class, tag expressions, and running tagged tests through Maven's Surefire plugin and from the IDE.

Tags let one suite serve several runs, such as a fast smoke set on every commit and the full regression set nightly, without moving test files. The rest of the framework is covered in the JUnit tutorial.

7. Page Object Model in WebdriverIO

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Part 5 of the WebdriverIO series is presented by Marco A Cruz, founder of automateNow. In under 15 minutes it explains the page object model, then builds page objects and uses them inside tests, and the sample project is on GitHub.

Keeping locators and page actions in one class per page means a UI change is fixed in that class instead of in every test that touches the page. For the pattern in more depth, read the page object model guide.

8. Top 5 Automation Testing Tools

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This two-minute overview of five automation testing tools was published in December 2024, and YouTube now lists it as "Top 5 Automation Testing Tools for 2026 Revealed". It suits a quick scan; for side-by-side detail on more tools, read the automation testing tools comparison.

10. GitHub Flow vs Git Flow Explained

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Despite its YouTube title, this two-minute explainer compares two branching models rather than GitHub itself, spending about a minute on each.

GitHub flow is a lightweight, branch-based workflow: create a branch, make changes, open a pull request, address review comments, merge, and delete the branch.

Git Flow, which Vincent Driessen published in 2010, keeps long-lived master and develop branches and adds feature, release, and hotfix branches. In a 2020 note on the same post, Driessen recommends a simpler workflow such as GitHub flow for teams doing continuous delivery.

Next Steps

If the KaneAI launch is the video you came for, write a test of your own next: create a TestMu AI account, then use the introduction to KaneAI to turn a Jira ticket or a plain-text description into a ready-to-run test.

The channel's other webinars and tutorial series are in the TestMu AI video library.

Author

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Harshit Paul

Blogs: 94

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Harshit Paul is Director of Product Marketing at TestMu AI, with over 8 years of experience in product and growth marketing for developer and QA tools, leading the Agentic AI in Quality Engineering space. He has authored 80+ technical articles for TestMu AI on software testing and automation, and hosted webinars on Selenium, automation testing, browser compatibility, DevOps, and continuous testing. He has led go-to-market and technical marketing initiatives across software testing products, contributing to SEO, content strategy, and developer marketing. He began his career as a certified Salesforce developer at Wipro Technologies, where he worked for 2 years before moving into marketing. Harshit holds a degree in computer programming from Vivekananda Institute of Professional Studies.

Reviewer

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Himanshu Sheth

Reviewer

  • Linkedin

Himanshu Sheth is the Director of Marketing (Technical Content) at TestMu AI, with over 8 years of hands-on experience in Selenium, Cypress, and other test automation frameworks. He has authored more than 130 technical blogs for TestMu AI, covering software testing, automation strategy, and CI/CD. At TestMu AI, he leads the technical content efforts across blogs, YouTube, and social media, while closely collaborating with contributors to enhance content quality and product feedback loops. He has done his graduation with a B.E. in Computer Engineering from Mumbai University. Before TestMu AI, Himanshu led engineering teams in embedded software domains at companies like Samsung Research, Motorola, and NXP Semiconductors. He is a core member of DZone and has been a speaker at several unconferences focused on technical writing and software quality.

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