AI
Introducing pCraft: A Workbench for People Who Build With LLMs
For a year my most important work, the prompts, lived in Python strings, scattered notes, and 1am messages to myself, with no version history and no way to fairly compare one model against another. pCraft is my answer: a workbench for building with language models, 'Postman for LLMs', where you bring your own key, wire up multi-step chains, and run the same prompt across several models side by side. This founder-tone launch post covers why I built it, why I think it's useful, and the unglamorous lessons the project taught me: overbuilding infrastructure for a scale that didn't exist, falling in love with an architecture instead of a product, and what it means to hold someone else's API key.
Building a RAG Pipeline from Your Sitecore Content
This article details how to build a production RAG pipeline that turns Sitecore CMS content into an AI chatbot. It covers using Sitecore's Layout Service for clean content extraction, component-aware chunking, vector embeddings for semantic search, and prompt engineering to keep responses grounded with source citations. The architecture is composable and keeps Sitecore as the single source of truth.
Pros and Cons of Using AI for Testing: A Developer's Journey with CenariusCMS
In this article, we explore how AI assisted in writing tests for his Go-based CMS project, CenariusCMS. While AI isn’t flawless, it helped speed up the testing process and uncovered edge cases that hadn't been considered. The article delves into the benefits and challenges of using AI for testing, highlighting its ability to assist without replacing human intuition.