Building a Simple Java/Spring Application with Windsurf

This 25-minute tutorial explores Windsurf, a next-generation agented code editor that transforms the AI-assisted development experience. Follow along as a Spring Boot project demonstrates how Windsurf anticipates coding needs and generates code aligned with personal preferences. Learn about the evolution from basic chatbots to sophisticated agented environments, understand Windsurf's advantages over GitHub Copilot and JetBrains AI, and see practical implementations including setting up a REST API, creating models/controllers/services through simple prompts, implementing caching, and customizing the AI with "Windsurf Rules" to follow specific coding standards. The demonstration showcases how Windsurf proactively manages multi-step coding tasks while maintaining developer control, representing a significant advancement in AI development environments.

Syllabus

0:00 Introduction
1:12 Evolution of AI coding tools
3:05 Windsor pricing and OpenAI acquisition rumors
4:30 Setting up our Spring Boot project
6:15 Getting started with Windsor
7:40 Creating our REST API with Cascade
10:20 Refining code with custom preferences
12:45 Using REST Client instead of REST Template
15:30 Testing our application
16:20 Adding caching functionality
19:05 Windsor rules and preferences
20:40 Final thoughts and conclusions