Straits Institute for Applied AI
Catalogue/Tier 2 · Job Roles/Engineering & Tech
AI+ Software Developers cover
T2-26 · Tier 2 · Job Roles

AI+ Software Developers

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
Category
Engineering & Tech
Format
Guide
Updated
Q2 2026
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

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.

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How this was made

Every AI+ title is written by AI engineers who build production AI systems, then verified by practising professionals in the field it serves. Titles are reviewed quarterly and updated whenever the technology or regulation shifts. Localised editions are reviewed by in-region experts before release.

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