Modern QA ToolsTesting Frameworks

Why Cypress is becoming outdated in 2025

July 31, 2025
5 min read
By Ákos Jakub
#Cypress Testing#Bugninja Platform

Discover why Cypress falls short for modern end-to-end testing and explore Bugninja's AI-powered solution for QA teams.

Featured image for article: Why Cypress is no longer viable for modern testing in 2025

The decline of Cypress in modern testing

Cypress emerged as a popular testing tool in the late 2010s, providing QA teams with a user-friendly framework for front-end testing. With its JavaScript-based architecture and real-time debugging features, Cypress gained immense traction. However, as of 2025, Cypress is facing significant challenges that hinder its ability to meet the demands of modern software testing.

Key limitations of Cypress

While Cypress was revolutionary, its architecture and feature set have not evolved fast enough to keep pace with modern testing requirements. Below are some of its major shortcomings:

  • Limited Browser Support: Cypress does not support multiple browsers effectively, focusing primarily on Chrome-based browsers. This limitation creates problems in testing cross-browser compatibility for diverse user environments.
  • Restricted Scalability: Cypress tests are confined to a single browser instance, making it difficult to scale for large applications or parallel testing.
  • High Resource Consumption: Cypress requires significant computational resources, leading to slower test execution times in complex applications.
  • Poor CI/CD Integration: Integrating Cypress seamlessly into CI/CD pipelines often requires manual configuration and custom scripting.
  • Static Test Design: Cypress lacks adaptive intelligence, making tests prone to breaking with minor UI changes.

Why Cypress breaks under modern workflows

The fragility of Cypress tests stems from its inherent architectural limitations. QA teams often find themselves facing the following challenges:

  1. Static Locators: Like Selenium, Cypress relies on static locators such as CSS selectors, which frequently break during UI updates.
  2. Single Browser Dependency: Testing applications that need to work across Firefox, Safari, and Edge becomes cumbersome due to Cypress's limited support.
  3. Manual Effort for Maintenance: Cypress requires extensive manual updates to test scripts whenever there is a change in the application interface.
  4. Slow Execution Times: With heavy resource requirements, Cypress struggles to execute tests efficiently for large-scale applications.

For example, a QA team testing a SaaS dashboard might encounter issues where a simple update to a table layout breaks multiple Cypress tests. Resolving these failures often involves rewriting locators and debugging scripts, consuming both time and resources.

The need for smarter testing tools

In 2025, QA teams operate in environments characterized by rapid development cycles, dynamic interfaces, and frequent application updates. Tools that cannot adapt to these workflows become bottlenecks rather than enablers. Cypress, while innovative in its early years, has failed to address these evolving needs.

Modern QA teams require testing platforms that:

  • Adapt to UI changes automatically
  • Scale effortlessly for large applications
  • Integrate seamlessly into CI/CD pipelines
  • Provide actionable insights without manual debugging

Bugninja: The AI-driven solution for modern testing

Bugninja’s AI-powered testing platform offers a robust alternative to Cypress, addressing its limitations with innovative features tailored for today’s QA needs.

Key features of Bugninja

Bugninja redefines end-to-end testing with cutting-edge capabilities:

  • Self-Healing Tests: Bugninja’s AI dynamically adjusts to UI changes, eliminating the need for manual locator updates.
  • Cross-Browser Testing: Test applications seamlessly across Chrome, Firefox, Safari, and Edge without extra configuration.
  • Zero Maintenance: Bugninja’s intelligent algorithms detect and adapt to changes, reducing maintenance overhead.
  • Parallel Execution: Run multiple tests simultaneously, scaling effortlessly for large applications.
  • Visual Debugging: Debug tests with visual playback, eliminating the need to sift through complex logs.
  • CI/CD Ready: Native integrations ensure Bugninja fits seamlessly into automation pipelines.
  • Unlimited Test Runs: Execute as many tests as needed without infrastructure constraints.

Real-world impact

By adopting Bugninja, QA teams can:

  • Save Time: Automate maintenance tasks and focus on improving product quality.
  • Reduce False Positives: Self-healing tests ensure fewer failures due to minor UI changes.
  • Improve Scalability: Run tests across multiple browsers and environments effortlessly.

As CTO Ákos Jakub notes, "Bugninja has been transformative for QA teams. It reduces overhead, scales seamlessly, and adapts to dynamic workflows, saving countless hours of manual effort."

Summary table: Bugninja vs. Cypress

FeatureCypress (Legacy)Bugninja (2025 Ready)
Self-Healing Tests❌ Manual updates✅ AI-driven healing
Cross-Browser Testing⚠️ Limited✅ Full coverage
Test Maintenance❌ High effort✅ Near-zero effort
Parallel Execution⚠️ Limited✅ Unlimited
CI/CD Integration⚠️ Manual setup✅ Seamless
Visual Debugging❌ None✅ Built-in playback
Scalability⚠️ Resource-heavy✅ Effortless
Unlimited Runs❌ Limited✅ Included

Conclusion

Cypress's limitations have become increasingly evident as software testing evolves. QA teams seeking to stay ahead in 2025 need tools that adapt to dynamic workflows, scale efficiently, and reduce maintenance efforts. Bugninja’s AI-powered platform offers all this and more, making it the ideal solution for modern end-to-end testing.

Try Bugninja for free

About the Author

Ákos Jakub

Ákos Jakub

CTO @ Bugninja

Deep learning engineer and CTO with a passion for solving complex problems in unconventional ways. Worked as a quantitative developer at Morgan Stanley focusing on AI, and now leads engineering at Bugninja AI. Strong background in deep learning architectures, scalable ML systems, and applied NLP.

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