AI-Powered .NET 10 MAUI Development with MAUIDevFlow : Master Agentic Workflows to Automate Debugging and Ship Cross-Platform Apps Faster
Overview
Build faster, smarter, and more secure cross-platform applications with the power of AI-driven automation.
AI-Powered .NET 10 MAUI Development with MAUIDevFlow is a practical, forward-thinking guide for developers who want to move beyond traditional workflows and embrace intelligent agent-based systems. Whether you're building enterprise-grade apps or scaling modern mobile and desktop solutions, this book shows you how to integrate AI into every stage of your development lifecycle.
Inside, you'll learn how to design and implement agentic workflows that automate debugging, streamline development, and accelerate delivery. Instead of manually tracking issues or writing repetitive code, you'll build systems that think, adapt, and respond in real time.
This book focuses on real-world application, helping you:
- Build AI-powered automation into your .NET MAUI projects
- Design intelligent agents for debugging and error detection
- Implement scalable, cross-platform architectures
- Structure clean, maintainable, and observable workflows
- Apply modern DevOps and DevSecOps principles with AI integration
- Optimize performance and ship applications faster with confidence
With a strong emphasis on practical engineering and system design, you'll gain the tools needed to create resilient, production-ready applications that meet modern demands.
Whether you're a .NET developer, software engineer, or tech professional looking to stay ahead in the evolving AI landscape, this book equips you with the knowledge to transform how you build, debug, and deploy applications.
Step into the future of development, where intelligent systems don't just support your workflow, they drive it.
This item is Non-Returnable
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Details
- ISBN-13: 9798195537623
- ISBN-10: 9798195537623
- Publisher: Independently Published
- Publish Date: May 2026
- Dimensions: 10 x 7 x 0.4 inches
- Shipping Weight: 0.73 pounds
- Page Count: 186
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