With this session, attendees will learn how AI can make transitioning between manual and automated testing easier, reducing the technical barriers for manual testers and helping automation engineers handle QA tasks more efficiently. This will lead to faster test execution, improved test coverage, and a more versatile skill set, enhancing their career growth and making their day-to-day work more streamlined and impactful.

Takeaways -
➤ AI makes automation easier: You’ll see how AI can help manual testers get into automation without the heavy coding, making the transition smoother.

➤ Less repetitive work: Automation engineers will learn how AI can take care of some of the repetitive QA tasks, freeing them up to focus on more interesting challenges.

➤ Boost your QA skills: You’ll walk away knowing how to use AI to become a more well-rounded QA professional, opening up new career opportunities and making your workday more efficient.

Power-Up Your Career Path: Attendees will learn how to strategically navigate from QA roles to leadership positions or entrepreneurship, much like using power-ups in Super Mario Bros. to overcome obstacles. They'll gain practical insights on skill development, networking, and identifying opportunities that can catapult their careers to the next level.

Unlock the Funding Cheat Code: Participants will discover how to access and leverage public funding and support, especially for women in tech. This knowledge is akin to finding a hidden cheat code in a game, providing resources and backing to turn entrepreneurial ideas into reality. They'll learn about specific programs, application strategies, and how to maximize the benefits of incubators and mentorship.

Master the Work-Life-Startup Juggling Game: Attendees will gain strategies for effectively balancing full-time employment, entrepreneurial pursuits, and personal life. Like mastering the increasing speed and complexity in Tetris, they'll learn techniques to efficiently manage multiple responsibilities without burning out, ensuring sustainable progress in their professional and personal lives.

➤ Understanding importance of how discovery of risk, assessing risk, communicating a risk to the team and avoiding making individual decisions helps to build stronger relationships with overall teams and builds credibility of the importance of testers providing a service of informational discoveries in daily work.

➤ How to contribute design controls to prevent realization of risks, increase mitigation communication of discovered risks to testing peers, to developers, to product owners and project managers including role playing language examples of seeking advice from the entire project team.

➤ Understanding when is the right time to communicate risk to avoid harm as timing of communication can vary based on the type of risk and how it may or may not affect a project’s timeline.

You will gain practical insights into how, as a Quality Engineer, you can actively contribute to security initiatives. By applying these techniques, you will enhance both your visibility and value within the company.

In this session, Robert will share his journey of going from laid off to newly employed, how to build an effective support system and network properly so that your unemployment period is as short as possible.

➤ Everyone faces impending layoffs no matter how safe you may feel.

➤ Building a quality networking system and utilizing tools on the market to help find your next role as a QA.

➤ Building your emotional, mental and physical support system so you are ready if/when this may happen to you.

Attendees will have a shortcut to building a strategy for testing AI-based non-deterministic systems. They will avoid having to start from scratch researching the challenges and techniques associated with testing AI-based systems.

➤ Understanding the challenges associated with testing non-deterministic AI-based systems
➤ Techniques for testing AI-based systems
➤ The required skills for testing AI-based systems

Utilize observability to assist with testing e.g. error rates, performance, showcasing test results in dashboards, etc.

Takeaways -
➤ Understanding Observability
➤ Deploying an Observability stack
➤ Using Observability in your testing process but also dashboarding test results (from playwright, selenium, etc.)

➤ Integration of Test Automation Enhances Efficiency and Reduces Silos
➤ Accessible Information Empowers All Stakeholders
➤ Creating a Unified Testing Ecosystem Drives Business Value

Playwright is the No. 1 growing framework. Apart from functional e2e testing, it also has API interaction capabilities.

But those capabilities are not designed to be used for API testing and not very user-friendly for writing just API tests with a Playwright.

In this session, Artem will show how the framework can be modified to conveniently use Playwright for API testing.

This talk will give the audience deeper insights into the power of Playwright. It will teach them concepts of debugging, mocking, accessibility testing, API testing and other hidden features that can be performed while designing your E2E tests with Playwright.

➤ Learn Real world impact of Playwright
➤ Understand the hidden gems of Playwright
➤ Understand how a large banking system uses Playwright

➤ Master Automated Code Reviews: Learn how to utilize code generation tools to automate and standardize code reviews, ensuring adherence to best practices and reducing manual oversight.

➤ Optimize for Performance: Discover effective techniques to identify and resolve inefficiencies in your test automation code, leading to faster execution and more reliable results.

➤ Enhance Interview Readiness: Gain insights into coding standards and optimization strategies that will not only improve your test automation skills but also boost your chances of success in interviews with top product companies.

Key Takeaways from the Session:

➤ Understand the fundamental role of vector databases in AI systems and why they are rapidly replacing traditional databases.

➤ Learn how vector databases handle high-dimensional data and their importance in powering applications like recommendation systems and semantic search.

➤ Gain insights into why QA professionals need to familiarize themselves with vector databases to stay competitive and prepared for the evolving landscape of AI-driven technologies.

Key Takeaways from the Session:

➤ Learn how Playwright projects work from the inside out so that testers can bend the framework to their will and work within its boundaries.
➤ Enable Playwright projects to be sustainably manageable with page objects and fixtures as the tests grow in size.
➤ Protect Playwright tests against data collisions when they (by default) run in parallel.

Deep dive into the power of AI for software testing.

In this session, we’ll demystify AI’s role by exploring real-world bugs and test results on the Automation Guild website, highlighting how AI can elevate your testing strategies.

From leveling up test data to mastering API, mobile, and accessibility testing, you’ll discover how AI adapts to each unique challenge.

This session covers practical, hands-on, end-to-end automation techniques to help you close critical testing gaps, boost efficiency, and conquer complex testing landscapes—one AI-powered level at a time!

This session will teach you a new skill that you can add to your resume.

This will be a hands on workshop where Jeff will package up a test and run it in Kubernetes.

This will be language agnostic. So you can choose the language that you want to use - javascript, python, java, golang

We will use:
* Docker
* Kubernetes
* Tilt

We will reference helm, a way to template your Kubernetes configuration.

After the hands-on portion, we will discuss the implications/considerations of deploying this solution to CI/CD.

Learn how GPT based AI Agents work and how to leverage them for testing purposes.

By the end of the session, the attendee will be able to:
➤ Outline how an AI Agent works within the OpenAI ecosystem
➤ Use LangChain framework along with GPT models to build a basic AI Agent
➤ Execute testing tasks using a basic AI Agent

This session will significantly enhance your career by:

1) Encouraging a long-term perspective focused on impact, rather than short-term thinking, and embracing challenges that lead to learning and growth.

2) Empowering you to influence multiple disciplines, not just your immediate team, ensuring your contributions are recognized by a wider audience.

3) Promoting a customer-centric approach, where you put themselves in the shoes of the customer. Agile is not just about adopting certain tools and techniques, but about embracing a quick feedback loop, even in automation.

➤ The DevPerfOps Foundation is available to help all organizations improve performance and reliability across the entire software development lifecycle

➤ Access to online resources are available to help educate, certify, and support practitioners who want to bring a culture of performance to their organization.

➤ DevPerfOps offers to be the central online community for developers, site reliability engineers, performance engineers, and anyone interested in performance engineering.

➤ Learn how to Dockerize your existing Selenium scripts in minutes(Code used in the demo will be available in an opensource repo).

➤ Leverage Selenium Manager to their advantage and not bother about webdrivers and browsers anymore.

➤ How to troubleshoot issues when running the containerized tests.

Get hands on introduction to the new E2E mobile automation tool Maestro.

Maestro can create high level flows that can operate on mobile apps created native or hybrid across iOS and Android.

AI is changing everything, including how we test software.

As AI-driven applications become more prevalent, traditional testing methods struggle to keep up with their dynamic and unpredictable nature.

Testing AI-powered features like chatbots and search requires new strategies and tools that can adapt to evolving models and ensure consistent, reliable results.

In this session, Dario Kondratiuk, a 5-time Microsoft MVP, developer at mabl, and author of “UI Testing with Puppeteer", puppeteer-sharp, and playwright-sharp, will explore the unique challenges of testing AI-driven applications.

And he will also demonstrate how AI itself can be the solution, showcasing how to automate testing of dynamic AI behavior either with low-code from mabl's UI, or directly from your Playwright test scripts.

➤ Identify and Avoid Common Anti-Patterns: Attendees will learn to recognize the most prevalent anti-patterns in Cypress testing that lead to flaky, slow and hard-to-maintain test suites, gaining clarity on what to avoid in their own automation efforts.

➤ Implement Best Practices for Reliable and Efficient Tests: They’ll discover practical techniques to refactor their tests, such as reducing over-reliance on UI testing, using dynamic data, and leveraging Cypress’s built-in retry mechanisms, resulting in faster, more reliable, and maintainable test suites.

➤ Apply These Principles Across Other Automation Frameworks: While the focus is on Cypress, attendees will understand how these best practices and strategies can be applied to other test automation frameworks, enhancing their overall test automation skills and making them more versatile professionals.

Accessibility is essential in today’s digital landscape, yet many testers struggle with integrating it effectively.

Accessibility isn’t just a regulatory checkbox—it’s a commitment to inclusivity and a competitive differentiator for organizations reaching global audiences to ensure seamless customer experience.

This session introduces a powerful Accessibility Test Framework that equips testers with practical tools and techniques to incorporate accessibility into their daily workflows.

Attendees will learn how to seamlessly add accessibility checks throughout the development cycle, using both automated tools and manual validation.

By creating test data asynchronously, it removes the time required to set up test data at the start of each test, while still ensuring accurate, reliable test data.

This way you'll spend less time troubleshooting test failures that are not relevant to the problem at hand, and less time waiting for tests to complete.

Takeaways:
➤ Test data should be unique, accurate, and relevant
➤ Creating this test data can be slow and error prone
➤ By separating test data generation from test execution, we can reduce time and errors from setup.

AI-powered code generation is revolutionizing automation, but is it a boon or a bane?

While it promises accelerated scripting and reduced manual effort, this talk highlights the often-overlooked risks: the potential for generating fragile, unoptimized, or error-prone code, over-reliance on AI that stifles tester creativity, and security concerns arising from opaque code generation.

Moreover, the rapid adoption of AI-generated code can lead to accumulating technical debt, with poorly documented, complex, or inconsistent codebases that become harder to maintain over time.

Join this session to learn why code generation AI can hinder quality assurance more than it helps and learn actionable insights to balance innovation with robust testing practice.