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Practical Agentic Coding with ChatGPT Codex: From Prompting to Autonomous Software Engineering Systems

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  • Дата: 2-09-2026, 06:39
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Название: Practical Agentic Coding with ChatGPT Codex: From Prompting to Autonomous Software Engineering Systems
Автор: Tommy C. Shirley
Издательство: Independently published
Год: 2026
Страниц: 419
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

What if coding could become less about writing every line manually and more about guiding an intelligent partner that understands your goals, builds solutions, tests ideas, and helps you move faster?

Practical Agentic Coding with ChatGPT Codex takes you beyond basic prompting and into a modern AI-assisted development workflow. Learn how to use Codex for planning, coding, debugging, refactoring, testing, documentation, and software delivery while maintaining control over quality and engineering decisions.

The book explores practical questions: How do you turn a prompt into a working feature? How do you break complex tasks into agent-friendly steps? How can AI handle repetitive work without sacrificing reliability or control?

Software development is entering a new era. For decades, programmers interacted directly with computers through programming languages, development environments, and automation tools. The emergence of Large Language Models (LLMs) introduced a new paradigm: developers could describe what they wanted in natural language and receive working code in return. Initially, these systems functioned primarily as intelligent code generators. A developer would submit a prompt, receive an answer, and then manually evaluate and refine the output. While powerful, this interaction model remained fundamentally transactional. Agentic coding represents the next stage in this evolution.

Inside, you will learn how to:

Write effective prompts for consistent coding results
Break software projects into manageable agentic tasks
Use AI for debugging, testing, documentation, and refactoring
Build repeatable development workflows
Design autonomous and semi-autonomous coding systems
Maintain engineering quality while delegating work to AI

The key shift is from prompting for snippets to orchestrating outcomes. You will learn to think in terms of tasks, systems, feedback loops, and execution.

Whether you are a developer, creator, builder, or technically curious learner, this book provides a practical foundation for working with ChatGPT Codex as an intelligent development partner.

Build faster. Work smarter. Stay in control.

Contents:


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