دانلود کتاب ساخت، آزمایش، اصلاح، بررسی و ارسال نرم‌افزار آماده تولید با Codex CLI، Cloud Agents و GitHub توسط OPENAI CODEX

AI coding agents have changed the scale of work you can delegate. A modern agent can inspect a repository, trace behavior, propose a plan, edit files, run commands, generate tests, review a diff, prepare a pull request, and support release work. That is far more significant than autocomplete, but it also creates a harder engineering problem: how do you gain the speed of an agent without losing control of scope, quality, security, and accountability? This book answers that question through one clear promise: take a real software requirement from issue to tested, reviewed, production-ready delivery using OpenAI Codex. Installation, prompting, CLI commands, cloud tasks, GitHub integration, Skills, MCP, and automation all matter, but they are supporting capabilities. The central subject is a controlled software-delivery system around Codex. You will not learn through disconnected toy snippets. You will work on TaskForge, a realistic project and release-management platform that begins with incomplete behavior, weak documentation, a duplicate-notification defect, concentrated service logic, migration debt, and limited release evidence. Each project leaves durable artifacts that the next project consumes. The book uses the CODEX Delivery Loop—Clarify, Orient, Delegate, Evaluate, and eXecute—to organize every consequential task. The loop begins with an outcome and ends with a human-controlled delivery decision. Between those points, Codex can do substantial work, but it must operate inside explicit boundaries and return evidence that can be checked independently.