Single-Agent Design Patterns: Five Ways One Model Reasons and Acts
ReAct, Plan-Then-Execute, Search over Actions, Reflection, and Code-as-Action — the control-flow shapes underneath almost every coding agent, research agent, and tool-using assistant you've used
Written by
Microsoft Certified Trainer, Corporate Trainer on .NET, Azure, Angular, react
I’m Siddhesh, a Microsoft Certified Trainer, cloud architect, and AI practitioner focused on helping developers and organizations adopt AI effectively. As a Pluralsight instructor and speaker, I design and deliver hands-on AI enablement programs covering Generative AI, Agentic AI, Azure AI, and modern cloud architectures. With a strong foundation in Microsoft .NET and Azure, my work today centers on building real-world AI solutions, agentic workflows, and developer productivity using AI-assisted tools. I share practical insights through workshops, conference talks, online courses, blogs, newsletters, and YouTube—bridging the gap between AI concepts and production-ready implementations.
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