Agentic Coding for Software Engineers: Build, Test, Review, and Deploy Reliable Applications with Claude Code, Codex, Cursor, and Spec-Driven Workflows (en Inglés)
Reseña del libro "Agentic Coding for Software Engineers: Build, Test, Review, and Deploy Reliable Applications with Claude Code, Codex, Cursor, and Spec-Driven Workflows (en Inglés)"
Agentic Coding for Software Engineers: Build, Test, Review, and Deploy Reliable Applications with Claude Code, Codex, Cursor, and Spec-Driven Workflows AI can write code in seconds. But can you trust that code in production? Claude Code, Codex, and Cursor are changing how developers build software. Yet generating code is only part of the job. Poorly defined requirements, unreliable tests, security vulnerabilities, difficult code reviews, and deployment failures can quickly turn AI-assisted development into more work than expected. As a software engineer, you need more than prompts that produce working demos. You need a repeatable engineering process for planning, building, testing, reviewing, and shipping applications you can confidently maintain. The challenge isn't getting AI to write more code. It's making sure that code is correct, secure, and ready for real users. Agentic Coding for Software Engineers provides a practical, project-driven approach to integrating AI coding agents into professional software development. Using Claude Code, OpenAI Codex, Cursor, and spec-driven workflows, you'll learn how to move from software requirements to tested, reviewable, and deployable applications without surrendering control of engineering decisions. Through hands-on recipes, working code examples, architectural diagrams, and a continuous full-stack application project, you'll learn how to: Plan before you code: Turn requirements into clear specifications, implementation plans, and acceptance criteria using spec-driven development. Build applications with AI coding agents: Develop TypeScript APIs, React interfaces, PostgreSQL integrations, authentication, and authorization using structured agentic workflows. Test and debug with confidence: Apply test-driven development, automated testing, Playwright, and regression checks to identify and correct unreliable code. Review and secure AI-generated changes: Use context engineering, Git workflows, automated code reviews, permission controls, and security checks to reduce engineering risks. Automate and deploy reliably: Build CI/CD pipelines with GitHub Actions, containerize applications with Docker, and establish practical deployment, monitoring, and rollback procedures. This book is designed for software engineers, full-stack developers, experienced programmers, and technical leads who want to use AI coding agents effectively in real development environments. You won't just read about agentic coding. You'll follow a complete software engineering workflow. The book centers on building a practical issue-tracking application with a TypeScript backend, React frontend, PostgreSQL database, authentication, automated tests, and deployment configuration. Across 12 focused chapters and three practical appendices, you'll work with reusable agent instructions, project specifications, executable code listings, testing procedures, engineering checklists, architectural diagrams, and production-readiness practices. Each stage emphasizes an essential principle: AI-generated code is not finished until its behavior has been independently verified. By applying these methods, you can develop a more disciplined approach to AI-assisted programming, reduce avoidable mistakes, improve code review, and make more informed release decisions. Build software with AI. Verify it like an engineer. Ship with greater confidence. Get your copy of Agentic Coding for Software Engineers and start building reliable applications with practical, repeatable AI-powered engineering workflows.
