AI+ Software Developers

Name: AI+ Software Developers
Price: 60 USD
Availability: InStock
ISBN: 9789746524797

Code Smarter and Ship Faster with AI Tools

Ship better. Ship safer. Ship faster.

Your AI suggests code that almost fits, passes tests, and breaks in production. You're unsure what's safe to paste. Coding agents change faster than you can form intuitions. This book gives working developers the Developer Prompt Toolkit — 28 copy-ready templates — the SHIP Protocol for what never enters a prompt, and the Agent Engagement Loop for multi-step agents. Written by practitioners. Ship better, ship safer, ship faster.

Tier

Tier 2 · Job Roles

Inside

28 ready-made, market-tested prompts: code generation, code review, refactoring, testing, debugging, documentation, commit messages
The SHIP Protocol — four-category framework for what does and does not enter an AI prompt: Source code, Hardcoded secrets, IP and licensing, Personal and customer data
The Agent Engagement Loop — Scope, Brief, Review, Iterate, Verify — the discipline for working with multi-step coding agents
A code verification workflow — compile, test, read for intent, security-check — before any AI output reaches the repository
A 30-day plan for full-stack, backend, frontend, mobile, embedded, and platform engineers

Who this is for

Professional software developers, software engineers, and engineering team members. Typical titles: Software Developer, Software Engineer, Senior Developer, Senior Engineer, Full-Stack Developer, Backend Developer, Frontend Developer, Mobile Developer, Platform Engineer, Tech Lead, Staff Engineer. Two to fifteen years of professional coding experience. Works across domains — web, mobile, backend services, embedded, data platforms, internal tooling — and across language ecosystems (JavaScript/TypeScript, Python, Java, Go, C#, C/C++, Rust, Ruby, PHP, Swift, Kotlin). Daily work spans: writing new code, reading and modifying existing code, reviewing teammates' code, writing and maintaining tests, debugging failures, writing documentation and commit messages, participating in design discussions, and shipping work through code review and CI/CD. The reader has used at least one AI coding tool — most have Copilot, ChatGPT, Claude, Cursor, or a similar editor integration in their workflow — but uses them opportunistically rather than systematically.

Also for:Technical leads and engineering managers still writing code regularly. Self-taught and bootcamp graduates in their first two years of professional development. Developers returning to hands-on work after a period in management. Senior engineers from pre-AI-coding-tools eras who want a structured update. Computer science students approaching their first industry role.

You’ll be able to

Apply the Developer Prompt Toolkit to at least six recurring development tasks — including code generation from specifications, code review, test generation, debugging, documentation, and commit messages — producing professional-standard outputs materially faster
Apply the SHIP Protocol to classify code and development data before any AI interaction — correctly identifying source code sensitivity, secrets that must never enter a prompt, third-party licensing exposure, and personal data in test fixtures
Evaluate AI-generated code using a structured quality process — compile, test, read for intent, security-check — before committing
Work productively with an AI coding agent (editor integration, repository-scope tool, or autonomous coding agent) using the Agent Engagement Loop: scope, brief, review, iterate, verify
Design a personal 30-Day Developer AI Starter Plan identifying at least three quick-win AI applications in their specific stack and workflow

What’s inside

Diagnostic: How AI-ready is your development practice?
Chapter 1: AI in Software Development Right Now
Chapter 2: The Developer's AI Opportunity
Chapter 3: Prompting AI for Code
Chapter 4: Writing and Refactoring Code with AI
Chapter 5: Debugging, Testing and Quality
Chapter 6: Documentation, Code Review and Communication
Chapter 7: Working with AI Coding Agents
Chapter 8: The Developer's Career in the AI Era
Chapter 9: SHIP Protocol: AI Safety for Developers
Chapter 10: Your 30-Day Developer AI Starter Plan
Back matter: Skill Summary · Recommended Next Reads · Glossary · Tool Reference

Will AI replace software developers?

Checking AI code before it reaches the repository stays with you, because its suggestions can pass tests and still break in production. AI generates, reviews, tests and documents code.

AI+ Software Developers gives you 28 ready-made prompts, the SHIP Protocol for what enters a prompt and the Agent Engagement Loop for working with multi-step coding agents.

Built by an AI engineering firm — for developers who know that shipping well is the work, and want AI to help them ship more of it.