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Learn how to apply test-driven development (TDD) principles to AI agents and agentic workflows to build more reliable production systems. Discover real-world strategies for testing AI agents, understanding different types of agentic behavior, and improving system reliability through structured development practices. Explore what's currently possible in AI agent development and where innovation is heading in the field. Watch a live demonstration of an SEO agent that automates content-writing processes, showcasing practical implementation of agentic workflows. Gain insights into overcoming common challenges like bugs, hallucinations, and unexpected behavior that can plague AI systems in production environments. Access additional resources covering DeepSeek-R1 training processes, emerging agentic workflow architectures, production-grade AI application development pillars, chain of thought prompting techniques, and analysis of reasoning model limitations.
