I've spent entire nights building something with AI, gotten a bunch of features working, and then realized I couldn't really explain half of what I'd just built. And then there are nights when I spend hours trying to figure out one stupid little problem, and somehow end up learning more from tha...
Blues defender apologises after ‘conduct unbecoming’ verdict Handed two-match ban and fined following off-season night out Carlton defender Lachie Cowan has received a “wake-up call” after being suspended for two matches for the use of an illicit substance during a night out last weekend. In add...
Disclosure: I work on Protoron , a browser workspace that connects planning, structured writing, and references. This tutorial uses a small original example to explain a general data-modeling pattern; it does not reproduce Protoron's internal implementation. Imagine a workspace with a board and...
pgvector with Java in AI: Semantic Search and RAG Without a Separate Vector Database Every AI application that needs to answer questions from its own data eventually runs into the same design decision: where do the embeddings live? A common reflex is to add a dedicated vector database to the arc...
Book: System Design Pocket Guide: Fundamentals Also by me: Thinking in Go (2-book series) — Complete Guide to Go Programming + Hexagonal Architecture in Go My project: Hermes IDE | GitHub — an IDE for developers who ship with Claude Code and other AI coding tools Me: xgabriel. com | GitHub Mistra...
A skeptic's take on the AI agent hype cycle. Towers of scaffolding, a tiny kernel of value, and the abstractions that actually survive production. #agents #abstractions #hype Maya asked her agent to book a meeting.