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ONLINE COURSE

Spec-Driven Development with AI

Design once. Implement in any framework.

Build professional software using specifications as the source of truth and generate implementations in Spring Boot and Quarkus with AI assistance.

Move from "vibe coding" to real engineering: control how AI generates your code, architecture and tests.

Spec-Driven Development with AI

What is it about

Learn Spec-Driven Development with AI and build professional systems using Java, Spring Boot and Quarkus. Design with specifications and generate code with control.

Spec-Driven Development with AI | Java, Spring Boot, Quarkus — learn to use specifications as the source of truth and steer AI to implement without losing control of architecture or tests.

⚠️ The hook

Anyone can generate code with AI today. But:

  • ❌ Code does not always meet requirements
  • ❌ There is no control over architecture
  • ❌ Systems do not scale
  • ❌ Changes break everything

👉 The problem is not AI.
👉 It is the lack of specifications.

💡 The solution: SDD

This course teaches Spec-Driven Development (SDD):

  • Define clear specifications
  • Design the system correctly
  • Use AI to implement without losing control

🧩 What you will do

You will build a real system:

  • Designed from specifications
  • Implemented in Spring Boot and Quarkus
  • With tests generated from specs
  • Using AI across the lifecycle

🔥 Differentiator

Most people learn tools. You will learn:

The specification is the source of truth.
The framework is just one implementation.

📚 Syllabus

Module 1 – The problem of AI without engineering

  • Vibe coding vs engineering
  • Common failures when using AI
  • Why you need specs

Module 2 – SDD fundamentals

  • What Spec-Driven Development is
  • Differences vs TDD and BDD
  • Full flow: Spec → Code → Validate

Module 3 – Constitution

  • System rules
  • Stack, standards, security
  • Foundation for AI-assisted generation

Module 4 – Writing Specs (core)

  • How to write professional specifications
  • User stories + acceptance criteria
  • Edge cases (key)

Module 5 – Design from the spec

  • API contracts
  • Data modeling
  • Framework-agnostic architecture

Module 6 – Multi-framework implementation

  • Generation with Spring Boot and Quarkus
  • Real comparison

Module 7 – Development with AI

  • Using agents (Claude / GPT)
  • Controlled code generation
  • Safe iteration

Module 8 – Testing from specs

  • Automated tests
  • Validation against specifications
  • Guardrails

Module 9 – System evolution

  • Spec-driven changes
  • Safe refactoring
  • Versioning

Module 10 – Final project

  • Complete system
  • Two implementations
  • End-to-end validation

🎓 Who is this for?

  • Backend developers (Java)
  • Software architects
  • Tech leads
  • Engineers using AI

🧠 Requirements

  • Basic to intermediate Java
  • REST APIs
  • No prior AI experience required

📦 Includes

  • Full project and source code
  • Reusable templates: spec.md, architecture.md, tasks.md

🚀 Bonus

Professional templates — ready-to-use specifications, architecture design and task breakdown.

Stop generating code without control. Start building professional software with AI.

What will you learn?

In this course you will learn the fundamental concepts and best practices to master Spec-Driven Development with AI.

Contents

  1. Module 1 – The problem of AI without engineering
  2. Module 2 – SDD fundamentals
  3. Module 3 – Constitution
  4. Module 4 – Writing Specs (core)
  5. Module 5 – Design from the spec
  6. Module 6 – Multi-framework implementation (Spring Boot and Quarkus)
  7. Module 7 – Development with AI
  8. Module 8 – Testing from specs
  9. Module 9 – System evolution
  10. Module 10 – Final project

Requirements

  • Basic programming knowledge
  • Motivation to learn
  • Stable internet access