➤ 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.

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

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 aims to drastically reduce the time spent debugging automation failures by providing a structured, step-by-step, approach—presented through the lens of a giant Pokémon metaphor.

Attendees will learn how to systematically break down failing tests and ask the right diagnostic questions to optimize time and effort.

By the end of this session, you'll be equipped with the tools and strategies to "fix 'em all" when it comes to pesky automation failures.

Everyone is excited about the possibilities of using Artificial Intelligence to facilitate quality across their organizations.

As we rush headlong into the AI frontier, we have come face to face with the fact that testing with AI is drastically different than testing AI.

In this session, Bill will speak on the future of AI assisted testing and how we can leverage existing toolsets to ensure that the AI doesn’t end up taking over.

Key Takeaways:
• Learn about how Tricentis leverages AI to augment its tools and enable quality at velocity
• Understand the difference between testing with AI vs Testing AI
• Discover what the future of AI augmented testing looks like

UI test automation has undergone significant evolution since the introduction of Selenium in 2004. By around 2010, many organizations had adopted a data-driven approach, incorporating the Page Object Model alongside Selenium WebDriver for web automation needs.

While many new tools have emerged, Selenium remains a pioneer in this field. However, since its launch in 2020, Playwright has rapidly gained popularity due to its enhanced performance.

Now, teams face a choice: continue maintaining extensive Selenium test suites or consider Playwright’s advantages. Rather than starting from scratch, migrating existing Selenium tests to Playwright can help leverage current frameworks while transitioning to a more modern tool.

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.

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.

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.

➤ 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.

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.

Are you a QA or test professional looking for new ways to grow in your current role?

Whether you’re considering a move into a leadership position, exploring a new area of specialization, or seeking to enhance your current skill set, this session is designed with you in mind.

Given the rate at which technology has grown and changed over the last few years, QA professionals face both unique challenges and opportunities that can shape their career paths. Understanding how to navigate these can help you make the most of your potential.

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!

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

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

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.)

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.

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.

➤ 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.

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.

➤ 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.

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.