Spec-Driven AI Development: Coding with AI Agents

Relying on trial-and-error prompts with AI coding tools often leads to messy, unmaintainable code and frustrating debugging loops. To build robust software with AI, you must transition from unstructured prompting to intentional, spec-driven development. This course teaches you how to write clear, structured specifications that provide AI coding agents with the exact context and constraints they need. You will learn to design precise system prompts, structure markdown-based specs, and establish iterative workflows that produce predictable, high-quality code. What you will learn: 1. Understand the core concepts of spec-driven development and how AI coding agents interpret instructions. 2. Write clear, structured software specifications using markdown. 3. Define system constraints, architectural rules, and data schemas to prevent AI drift. 4. Implement iterative feedback loops to refine AI-generated code. 5. Apply basic testing frameworks to validate agent-generated outputs. You will start by mastering foundational definitions and the core mechanics of AI agents. From there, you will progress through written exercises that guide you in drafting and executing structured specifications. This course is designed for beginner developers and product builders who want to leverage AI coding tools systematically. No advanced programming experience is required. Start writing better specifications today and unlock the true potential of AI-assisted software development.