Becoming Better Developer Claude by Stark Nolan (5 results)

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Taschenbuch. Condition: Neu. Neuware - AI can generate code quickly. Becoming a better developer requires knowing what to build, how to verify it, and why the resulting code works.Becoming a Better Developer with Claude presents a practical way to use AI throughout the modern software development lifecycle without becoming dependent on generated answers.You will learn how to prepare a clean project, give an AI coding assistant the context it needs, write clearer instructions, plan complex changes, evaluate design choices, and break large tasks into small, reviewable steps.The book then moves into everyday engineering work: writing code, debugging, reproducing failures, tracing root causes, creating tests, reviewing changes, writing documentation, deploying software, and maintaining existing codebases.A major theme is verification. A plausible AI-generated answer is not the same thing as a verified engineering solution. You will learn how to turn vague symptoms into reproducible failures, connect fixes to evidence, add tests that prove behavior, and review generated changes before they become part of a real system.The goal is not to make you a faster copier of AI-generated code. It is to help you become a sharper developer with an AI coding partner that handles mechanical work while you retain engineering judgment.For programmers, software engineers, technical leads, and developers adopting AI-assisted coding, this book provides a practical framework for working faster without weakening the habits that make software reliable.…

Condition: New. Print on Demand.

Paperback. Condition: new. Paperback. AI can generate code quickly. Becoming a better developer requires knowing what to build, how to verify it, and why the resulting code works.Becoming a Better Developer with Claude presents a practical way to use AI throughout the modern software development lifecycle without becoming dependent on generated answers.You will learn how to prepare a clean project, give an AI coding assistant the context it needs, write clearer instructions, plan complex changes, evaluate design choices, and break large tasks into small, reviewable steps.The book then moves into everyday engineering work: writing code, debugging, reproducing failures, tracing root causes, creating tests, reviewing changes, writing documentation, deploying software, and maintaining existing codebases.A major theme is verification. A plausible AI-generated answer is not the same thing as a verified engineering solution. You will learn how to turn vague symptoms into reproducible failures, connect fixes to evidence, add tests that prove behavior, and review generated changes before they become part of a real system.The goal is not to make you a faster copier of AI-generated code. It is to help you become a sharper developer with an AI coding partner that handles mechanical work while you retain engineering judgment.For programmers, software engineers, technical leads, and developers adopting AI-assisted coding, this book provides a practical framework for working faster without weakening the habits that make software reliable. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…