Working as a software developer in a leading IT company, I constantly explore ways to enhance my skills and stay ahead in AI-driven development. Generative AI for Software Developers is a practical and insightful resource that provides hands-on knowledge on integrating LLMs, prompt engineering, and AI-assisted coding into real-world software projects.
The book covers enterprise-level AI adoption, making it particularly relevant for developers working in large IT firms handling AI-powered automation, cloud solutions, and application modernization. It provides a structured approach to AI integration in SDLC, discussing tools like Amazon Q Developer, OpenAI, and vector databases. The practical examples and GitHub repositories included are extremely helpful for hands-on learning. Whether you're working on client projects, AI-driven automation, or building scalable applications, this book offers valuable insights into how Generative AI can improve software development workflows.
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Essential Guide for Software Developers in Large IT Firms
Working as a software developer in a leading IT company, I constantly explore ways to enhance my skills and stay ahead in AI-driven development. Generative AI for Software Developers is a practical and insightful resource that provides hands-on knowledge on integrating LLMs, prompt engineering, and AI-assisted coding into real-world software projects.
The book covers enterprise-level AI adoption, making it particularly relevant for developers working in large IT firms handling AI-powered automation, cloud solutions, and application modernization. It provides a structured approach to AI integration in SDLC, discussing tools like Amazon Q Developer, OpenAI, and vector databases. The practical examples and GitHub repositories included are extremely helpful for hands-on learning. Whether you're working on client projects, AI-driven automation, or building scalable applications, this book offers valuable insights into how Generative AI can improve software development workflows.