rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Generative AI for software developers
  title info:
    title: Generative artificial intelligence for software developers
  name:
    name part: Shrivastava, Saurab
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Arora, Kamal K.
    role:
      role term: author.
  name:
    name part: Dubey, Ashutosh
    role:
      role term: author.
  name:
    name part: Thakur, Dhiraj
    role:
      role term: author.
  name:
    name part: Sahay, Sanjeet
    role:
      role term: author.
  name:
    name part: Safari, an O'Reilly Media Company
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: enk
    place:
      place term: Birmingham, UK
    publisher: Packt Publishing Ltd.
    date issued: 2025
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource
  abstract: Master Generative AI in software development with hands-on guidance, from coding and debugging to testing and deployment, using GitHub Copilot, Amazon Q Developer, and OpenAI APIs to build scalable, AI-powered applications Key Features Hands-on guidance for mastering AI-powered coding, debugging, and deployment with real-world examples Comprehensive coverage of GenAI concepts, prompt engineering, fine-tuning, and SDLC integration Practical strategies for architecting and scaling production-ready AI-driven applications Book Description Generative AI for Software Developers is your practical guide to mastering AI-powered development and staying ahead in a fast-changing industry. Through a structured, hands-on approach, this book helps you understand, implement, and optimize Generative AI in modern software engineering. From AI-assisted coding, debugging, and documentation to testing, deployment, and system design, it equips you with the skills to integrate AI seamlessly into your workflows. You'll work with tools such as GitHub Copilot, Amazon Q Developer, and OpenAI APIs while learning strategies for prompt engineering, fine-tuning, and building scalable AI-powered applications. Featuring real-world use cases, best practices, and expert insights, this book bridges the gap between experimenting with AI and production deployment. Whether you're an aspiring AI developer, experienced engineer, or solutions architect, this guide gives you the clarity, confidence, and tactical knowledge to thrive in the GenAI-driven future of software development. Armed with these insights, you'll be ready to build, integrate, and scale intelligent solutions that enhance every stage of the software development lifecycle. What you will learn Build a secure GenAI application with expert guidance Understand the fundamentals of GenAI and its applications in software engineering Automate coding tasks with tools like GitHub Copilot, Amazon Q Developer, and OpenAI APIs Apply AI for debugging, tes…
  note: Saurabh Shrivastava, Kamal Arora, Asutosh Dubey, Dhiraj Thakur, Sanjeet Sahay.
  note: Includes bibliographical references.
  subject:
    topic: Application software
    topic: Development
  subject:
    topic: Artificial intelligence
  subject:
    topic: Logiciels d'application
    topic: Développement
  subject:
    topic: Intelligence artificielle
  subject:
    topic: artificial intelligence
  classification: QA76.76.A65
  classification: 005.3
  identifier: 1806671182
  identifier: 9781806671182
  identifier: 9781806671199 O'Reilly Media
  identifier: https://proxy.library.tamu.edu/login
  record info:
    record content source: UKKRT
    record creation date: 251015
    record change date: 20260129211148.6
    record identifier: in00005672218
    language of cataloging:
      language term: eng