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1The Cheating Economics of Engineering Metrics: Why KPIs Fail in Performance Reviews Learn why engineering metrics fail with the cheating economics of vanity KPIs. Discover real examples, pitfalls & how to implement effective Agile metrics for tech teams.
2Testing 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.
3Best Practices for Effective QA Testing Effective quality assurance (QA) testing is crucial to delivering high-quality software that meets customer expectations.
4AI Makes You a DevTest Engineer But Testing Work Gets Heavier AI makes DevTest engineering accessible to everyone, but core testing work remains untouched—and AI-generated code actually adds hidden risks. A frontline tester explains why.
5Discover the Power of Data-driven Approaches and Quantification in Game Development and Everyday Life In the areas of technological development and personal growth, emphasizing statistics and quantification can make a significant difference in work outcomes, leading to entirely distinct results.