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1Prompt 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.
2LLM Security Testing in ToB Scenarios: A Practical Guide & Framework Explore the unique security risks of LLMs in ToB scenarios, including prompt injection and system prompt leakage. Learn about the 'llm-safe-test' framework and how to automate safety judgment for enterprise AI applications.
3Java Code Coverage: Principles and Enterprise CI/CD Best Practices Learn Java code coverage fundamentals, bytecode instrumentation modes, and enterprise CI/CD testing practices with JaCoCo and Cobertura for reliable software quality.
4Testing as a Craft: Reshaping QA in the Age of AI (20-Year Insight) Explore the 20-year evolution of software testing. From manual automation to DeepSeek R1, a veteran practitioner shares deep insights into AI-driven innovation, technical paradigms, and the future of the testing craft. Read the full roadmap.
5Why & How to Conduct QA Testing During the Mobile App’s Development Lifecycle? (Part 1) In this article, we will explore why QA testing is important, and provide an overview of the best practices for conducting effective QA testing on mobile apps.