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Verfasst von:Dwivedi, Arpit [VerfasserIn]   i
Titel:CodeMosaic
Titelzusatz:learn AI-driven development and modern best practices for enterprise
Verf.angabe:Arpit Dwivedi
Verlagsort:Berkeley, CA
Verlag:Apress L. P.
Jahr:2024
Umfang:1 online resource (xxvii, 545 pages)
Illustrationen:illustrations.
Fussnoten:Description based upon print version of record
ISBN:9798868802768
Abstract:This book is a comprehensive guide for those navigating through the complexities of enterprise software development. For fresh graduates, transitioning from college projects to real-world applications can be overwhelming. This book acts as a roadmap, helping you bridge the gap to become industry-ready. It's like an intensive internship in book form, equipping readers with the skills and knowledge needed for modern tech roles. But it's not just for newcomers. Even experienced developers can get caught up in old routines and miss out on new tools and techniques. With the rise of AI and automation tools like ChatGPT and Copilot, the development landscape is rapidly changing. The core of the book revolves around practical application. Using .NET, Angular, and other Microsoft technologies as foundational pillars, you'll embark on a hands-on journey. From understanding the basics to designing and deploying a full-stack web application, CodeMosaic offers a holistic learning experience. By the end, you won't just be a developer; you'll be well-equipped to tackle the challenges of today's digital world. What You'll Learn Review Agile methodologies and Azure DevOps for streamlined project management. Gain a thorough understanding of smart development from design to deployment. Master software development with .NET and Angular, along with effective version control using Git. Enhance your coding and design skills using GitHub Copilot, GPT technologies, and AI-driven prompt engineering. Who This Book Is For Experienced developers looking for new tools and techniques, and recent graduates, transitioning from college projects to real-world applications.
URL:Aggregator: https://learning.oreilly.com/library/view/-/9798868802768/?ar
Datenträger:Online-Ressource
Sprache:eng
Bibliogr. Hinweis:Erscheint auch als : Druck-Ausgabe
Sach-SW:Intelligence artificielle
 artificial intelligence
K10plus-PPN:1892756978
 
 
Lokale URL UB: Zum Volltext
 
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