Windsor Development Studio

Learn how to integrate Claude AI into your Rails performance profiling workflow to get instant, actionable optimization recommendations. This post explores combining traditional profiling tools (ruby-prof, QCachegrind) with AI analysis to turn cryptic performance data into clear fixes—making optimization a natural part of development rather than a dreaded separate task. Built on principles from Alexander Dymo's "Ruby Performance Optimization" (2015), this approach brings modern AI to timeless performance fundamentals.

Ruby can handle async operations just like JavaScript

AI models like Claude and GPT aren't finished tools but raw materials developers shape into custom solutions for their specific workflows. By treating large language models as building materials rather than ready-made products, developers can craft purpose-built integrations that enhance their existing practices in Next.js, Ruby on Rails, and JavaScript development.

A practical guide for Rails developers looking to enhance their applications with Hotwire's Turbo Streams. This tutorial walks through converting standard scaffold-generated forms into dynamic, page-refresh-free interfaces, covering controller modifications, Turbo Stream views, and proper DOM targeting for create, update, and delete operations.

While AI has a ton of advantages and benefits, it, of course, also has some drawbacks.

Learn how to build a production RAG chatbot using Pinecone vector database, OpenAI embeddings, and Next.js. Complete guide with code examples and solutions.

Building a custom Claude code, watcher style plugin to provde AI assisted development in sublime text.

Next.js boosts SEO through server-side rendering, fast load times, and complete control over meta tags, making it easier for search engines to crawl and rank your content.

Utilizing Claude code to compliment a TDD workflow that utilizes WatchExec.

Integrating React into a Ruby on Rails Application

The beauty of watchexec for enhancing TDD.