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1Advancing Test Quality | Core Process (1): Test Plan and Requirements Analysis: How to Build a Test Framework in the AI Era Master the 2026 intelligent testing paradigm. Learn how AI agents optimize requirements analysis and dynamic test planning, covering ROI, model fairness, and "shift-left" strategies for superior software quality.
2How Tencent Captures and Analyzes Game Crashes Solving crash problems is a pressing need. From the PC era to the mobile era, there have been many tools for crash capture and analysis. So, what new problems and challenges does Tencent Games' new crash analysis system solve?
3Value and Obstacles of Continuous Automation | Guide 2026 Learn the key value of continuous automation (testing, deployment, release) for agile teams, plus common obstacles and practical solutions to implement it successfully.
4Prompt Engineering for Intelligent Testing: LLM Optimization & Cases Master 6 core prompt optimization techniques for AI-powered intelligent testing. Explore real enterprise cases, common pitfalls and best practices to stabilize LLM outputs for software testing.
5Webdriverio vs Selenium: Comparison and Analysis of Differences WebdriverIO vs Selenium, what are the differences? Selenium and WebdriverIO are both open-source tools used for testing web applications and have access to a large community and extensive resources.