Insights
Writing on AI testing, evaluation methodology, and quality engineering practice.
What is AI Testing?
An engineering-oriented overview of AI Testing, including LLM testing, AI agent evaluation, intelligent system quality, and AI quality engineering practices.
ArticleAI Quality Engineering vs Traditional Testing
A practical comparison between traditional software testing and AI quality engineering, including evaluation-driven testing, probabilistic outputs, and AI system reliability.
ArticleWhy AI Quality Platform Matters
An engineering-focused discussion on why AI systems require platform-oriented quality management, evaluation workflows, and reliability infrastructure.
ArticleWhy LLM Evaluation Is Different
Traditional software testing paradigms fall short when evaluating large language models. Here is why.
ArticleBuilding Reliable AI Agent Pipelines
Engineering patterns for testing and validating multi-step agent workflows in production.
ArticleMetrics That Matter in AI Quality
Beyond accuracy: a framework for choosing evaluation metrics that align with real-world requirements.