How I Code With AI Agents (Spec-Driven Development)

Spec driven development is presented as a method to improve code quality when using AI agents by defining a clear specification document upfront. This document outlines the intent, constraints, and key decisions for a project, serving as a contract for how the code should behave. It contrasts with product requirements documents (PRD) and technical design documents, as it is specifically designed for AI agents. The presenter details a workflow involving generating a spec with AI, reviewing and iterating on it, breaking down work into discrete tasks, and then executing those tasks independently. An example is provided involving adding JWT authentication, including defining constraints like using specific libraries and excluding certain features. The presenter also shares a demo of building a video analysis feature for a YouTube application using spec driven development.