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1From Manual Testing to Full-Process AI Integration: How QA Teams Reimagine Their Organizations for the AGI Era Learn 5 actionable AGI transformation practices for quality teams, AI testing toolchain building & full-stack AI coding quality governance from enterprise real cases.
2Advancing 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.
3How to Test Blockchain Systems: Challenges, Test Points and Performance Metrics Learn core blockchain testing challenges, key test scenarios, performance metrics, and differences between public, private and consortium chain QA for distributed ledger systems.
4CAP & BASE Theory: Distributed System High Availability & Chaos Engineering Learn the CAP and BASE theories for distributed systems, including Consistency, Availability, Partition Tolerance, and practical chaos engineering testing strategies for Kubernetes and MySQL architectures.
5Benefits and Challenges of Test Automation Each and every QA specialist understands the concept of automated software testing, the advantages it brings, and the challenges it entails.