I first learnt the idea of the Ralph Loop around January, while following developments in LLMs and AI through multiple channels — video feeds, X, newsletters, GitHub repositories, news, and research papers. That sparked a question: What happens if we combine the Ralph Loop with spec-driven design to generate real, working applications? This blog is a reflection of that exploration. My Background with Spec-Kit Since December last year, I have been using Spec-Kit in both:

Building with LLMs: How Spec-Kit Changed My Workflow Over the past three years, I’ve used LLMs—such as ChatGPT, Copilot, and Claude—primarily as assistants to generate code snippets for very specific requirements. They were useful, but always in a limited way: small pieces of logic, isolated helpers, or syntax scaffolding. What I didn’t do until recently was build an entire system around an LLM. The main reason was simple: most of my real work lives inside internal frameworks, legacy systems, and opinionated architectures.