Gameopedia cut manual QA Maintenance by more than 40% with AI-Driven Automation | Harness Case Study

Summary

Gameopedia’s QA team transformed its testing process by replacing manual Selenium scripts with Harness AI Test Automation. This shift yielded a more than 40% reduction in maintenance effort, delivered 2–3 hours per tester back each day, and slashed new-hire ramp-up from around 30 days to just 2-5 days.

Background

Gameopedia provides metadata services for video games, maintaining a database of over 150,000 titles with up to 20,000 data points per game and serving clients like Samsung, Amazon, and YouTube. The QA team supports six engineers on a client-facing product for which they had no prior end-to-end UI automation framework.

Challenges

Before Harness AI Test Automation, the team relied on Python-based Selenium scripts for UI testing, facing two major pain points:

• High maintenance overhead: Dynamic page components frequently broke locators, requiring manual debugging and script updates.
  
  
• Slow onboarding and test prep: Designing test frameworks and writing scripts demanded a week of upfront planning plus about 30 days for a new QA engineer to become productive.
  
  

Solution

After evaluating multiple tools, the team selected Harness AI Test Automation for its focused web-automation capabilities and AI features. Key aspects of the implementation included:

• AI-assisted test creation: Leveraging large language models (LLMs) to generate and maintain tests.
  
  
• Self-healing smart selectors: Automatically locating dynamic elements without manual locator updates.
  
  
• Centralized dashboard: Viewing test runs and results in a UI rather than IDE logs.
  
  
• Tagging system: Organizing hundreds of tests by component or page for easy filtering.
  
  

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‍“The AI-based self-healing smart selector was super cool—when the DOM is very dynamic, it still finds the element precisely, removing the flakiness in the test.” - Ajith KV, QA Engineering Lead, Gameopedia

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Comparison: Selenium vs Harness AI Test Automation

Results and Impact

• Maintenance time cut by more than 40%, saving each QA engineer 2–3 hours per day previously spent on script fixes.
  
  
• New engineers reached full productivity in 2-5 days compared to about 30 days with Selenium.
  
  
• Test creation became nearly instant after development handoff, achieving the team’s “T+1” benchmark (testing happens a day after development) or better. This helped with faster releases.
  
  
• Overall team satisfaction improved as testers shifted focus from boilerplate scripting to higher-level test design and analysis.
  
  

“With Harness AI Test Automation, I would get back 2–3 hours daily, and I can use that time to be more productive and improve the tests for any edge case scenarios.” - Ajith KV, QA Engineering Lead, Gameopedia

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What’s Next?

Gameopedia plans to integrate Harness AI Test Automation into its CI/CD pipeline within the next month, leveraging Harness’s infrastructure post-acquisition for scalable, cost-effective test execution and deeper reporting on test performance and failures. AI-generated test cases, synchronized video-step playback, and advanced maintenance features will further streamline their automation workflow.

Adopting Harness AI Test Automation has helped Gameopedia rethink accelerated test delivery, reduce operational overhead, and empowered its QA team to concentrate on strategic testing activities rather than repetitive maintenance.

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