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Stop writing giant if-else blocks for data transformation. Build clean, extensible code with the Function Registry pattern instead.

In the rapidly evolving landscape of API development, GraphQL has emerged as a powerful alternative to traditional REST APIs. When combined with Netflix’s Domain Graph Service (DGS) framework and the robustness of Spring Boot with Kotlin, developers can create highly efficient, type-safe, and scalable APIs. In this article, we’ll explore the advantages of this framework and how to set up and build a GraphQL API using these cutting-edge technologies.

Have fun with creative coding. Discover how Perlin noise adds life into your creations, replacing harsh randomness with flowing, natural patterns. Creating particles, flow fields, and terrains that feel organic and alive.

Most developers think AI assistance begins and ends with autocomplete suggestions. But after building everything from complete web applications to voice interfaces using AI tools, I've discovered workflows that transform how we approach development entirely. This isn't about replacing human skills - it's about augmenting them to tackle more ambitious problems, learn faster, and ship better software. Whether you're skeptical about AI or already using basic tools, here's your roadmap from simple suggestions to AI-powered development workflows.

I set out to make my mornings easier and build something fun: a personal running coach that lands in my inbox at 6am. Using n8n Cloud to orchestrate APIs, Cursor to generate the workflows and code nodes, and Gemini to turn weather data into clear coaching advice, I wired up a simple scoring model, friendly analysis, and a nicely styled email (yes, the AI handled the email CSS). This is a practical walkthrough of the approach—less handwritten code, more connecting services—what worked, what didn’t, and why this pattern feels like where everyday developer automation is headed.

Create a dynamic animated particle background using the HTML5 Canvas API

AI tools like Cursor and GitHub Copilot can do way more than just generate code. I've been exploring how to use them for documentation, commit messages, code reviews, and other workflow tasks that often get skipped. Here are some practical ways to expand how you use AI in development beyond the usual code generation.

Chrome now offers built-in, on-device AI APIs for summarization, translation, and language detection without the use of cloud required.

Discover how I built a complete breathing exercise web app without touching a single line of code, using AI to transform an idea into a fully functional product. What was good, what was bad and is this where we are heading in our industry?

The simplest way to create interactive 3d experiences

No more manual type generation! In this article, I'll show you how to generate types based on a OpenAPI (Swagger) file using a simple npm package.

Identifying and avoiding bad coding practices, and refactoring them into clean, elegant, self-explanatory code