From Exploration to Engineering
Designing AI-Supported Software with LLMs, RAG, and Agentic Workflows
A Practical Guide for Developers
This book is for developers who want to move beyond AI experiments and ship real, production-ready AI-supported software.
6 chapters · Intermediate developers · Hands-on coding labs
Who This Book Is For
You are an intermediate developer. You can write object-oriented code, design classes and interfaces, and reason about software architecture. You've experimented with AI tools and want to turn that experimentation into engineering discipline.
You do not need to be an AI researcher. You need to be a software engineer who knows how to integrate AI as a component in a larger system.
Book Structure
| Chapter | Topic | Status |
|---|---|---|
| Ch1 | AI-Supported Software Development | 🔄 In Progress |
| Ch2 | Agentic Workflows | 📋 Pending |
| Ch3 | Model Integration & Context | 📋 Pending |
| Ch4 | AI-Driven Development | 📋 Pending |
| Ch5 | Production & Guardrails | 📋 Pending |
| Ch6 | Conclusion — From Exploration to Engineering | 📋 Pending |
How to Read This Book
Each chapter follows the same format:
- Scope — what this chapter covers and what it defers to other chapters
- Learning Objectives — what you should be able to do by the end
- Theory — the concepts that underpin the practical work
- Architecture — diagrams and component relationships (Mermaid)
- Practical Application — a scenario you can implement
- Review & Discussion — 3 questions to test your understanding
- Coding Lab — a hands-on implementation exercise
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