AI TOOLS FOR NEW DEVELOPER
Start Using GPT-6, Claude & Cursor the Right Way
AI can speed up learning and coding — but only if you stay in control.
This book shows new developers how to use GPT-6, Claude, and Cursor effectively: how to ask clear questions, supply useful context, review generated code, test edge cases, and avoid common mistakes such as invented APIs, insecure suggestions, and overconfident explanations.
You will build practical habits for explanations, small features, tests, debugging, and documentation — while protecting private data and remaining responsible for the final result.
Ideal for students, self-learners, and early-career developers who want to learn with AI, not instead of learning.
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About
About the Book
AI Tools for New Developers: Start Using GPT-6, Claude & Cursor the Right Way is a practical beginner’s guide to using AI assistants during everyday software development.
The book explains how to choose an appropriate tool, describe a programming task clearly, provide relevant context, review generated code, investigate errors, and verify results before relying on them. It progresses from basic concepts and workspace preparation to chat-based assistants, AI-enabled editors, small programs and tests, debugging, and a repeatable workflow.
Emphasis is placed on sound development habits: understanding the code, checking assumptions, protecting private information, and keeping the developer responsible for decisions and final results.
Who this book is for:
• Beginners learning programming or exploring AI-assisted development
• BCA, MCA, Computer Science, IT, and related students
• Teachers and educators introducing modern development tools
• New developers who want practical help with explanations, small features, tests, and debugging
• Self-learners who want a responsible and repeatable AI-supported workflow
What you will learn:
• Differences between chat assistants, coding models, and AI-enabled editors
• How to prepare a safe development workspace and share only appropriate context
• How to write clear prompts for explanations, small features, tests, and debugging
• How to use AI to draft code while retaining responsibility for design and correctness
• How to run, inspect, and test generated code, including edge cases
• How to investigate errors with reproducible examples and evidence
• How to check APIs, dependencies, and tool-generated claims against reliable sources
• Basic privacy, security, licensing, and academic-integrity concerns
• A repeatable workflow for planning, coding, testing, and documenting small tasks
The book does not assume that AI output is always correct. Product features, model names, and interfaces can change; readers are encouraged to verify current details in official documentation.
Edition: 2026
Level: Beginner
Author
About the Author
Anshuman Kumar Mishra, M.Tech (Computer Science) Assistant Professor, Doranda College, Ranchi University
Prolific Author of 50+ Books on AI, Machine Learning & Computer Science | 20+ Years Experience
Anshuman Kumar Mishra is a dedicated educator, researcher, and highly prolific author with over 20 years of experience in Computer Science and Information Technology. Holding an M.Tech in Computer Science from BIT Mesra, he brings a rare combination of academic depth and practical teaching expertise.
Currently serving as Assistant Professor at Doranda College under Ranchi University, he has mentored thousands of students, helping them build strong foundations in programming, data science, and artificial intelligence. His student-centric teaching style emphasizes conceptual clarity, hands-on practice, and real-world application.
Anshuman is a prolific author with more than 50 books published across a wide spectrum of computer science and emerging technology domains. From foundational programming languages to advanced topics in Artificial Intelligence, Machine Learning, Reinforcement Learning, Decision Theory, and Computer Vision — his books are widely appreciated by students, educators, and professionals for their clear explanations, strong theoretical foundation, and practical approach.
His extensive body of work reflects his deep commitment to making complex subjects accessible and meaningful for learners at all levels. He is particularly recognized for creating well-structured learning paths that help readers progress from beginner to advanced levels with confidence.
Driven by the mission to democratize quality technical education, Anshuman continues to write and update books that bridge the gap between academic theory and industry practice.
When not teaching or writing, he actively follows and explores new developments in AI, Quantum Machine Learning, and Ethical Intelligence systems.
Contents
Table of Contents
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