Spec-Driven Development: Introduction
Modern software development is changing quickly. Today, a large portion of application code is often generated with AI tools such as ChatGPT or GitHub Copilot. But as AI coding becomes more common,...
Source: dev.to
Modern software development is changing quickly. Today, a large portion of application code is often generated with AI tools such as ChatGPT or GitHub Copilot. But as AI coding becomes more common, an important question emerges: What’s the best way to use AI when building large, complex applications? One answer gaining traction is Spec Driven Development. The Two Common AI Coding Approaches Right now, most developers tend to fall into one of two approaches when building software with AI: Vibe Coding Spec Driven Development Vibe Coding Vibe coding is the most natural and widely used approach. You prompt an AI model with a task, it generates code, and you continue refining the system through a series of prompts. For example: “Create an API endpoint for user registration.” “Add validation logic.” “Generate a React component for displaying user profiles.” For small features, prototypes, or experiments, vibe coding works extremely well. It’s fast, flexible, and often the easiest way to star