A day-by-day hands-on course on building an AI evaluation harness from scratch, with lessons on golden datasets, regression tracking, policy verdicts and CI gating. Each lesson explains the design decision, shows verified results from test runs, and builds on earlier days.

A technical newsletter teaching practical AI engineering, covering GPU inference performance such as batching and speculative decoding, GPU kernels, and AI-driven bug testing. Each issue explains a production concept with worked examples, with some tools gated behind a paid tier.

A software tester's blog offering pointed, opinionated essays on IT and testing culture, including critiques of developers calling worthwhile work a bottleneck and of managers pressuring testing to be faster. The posts also range into sharp commentary on capitalism, tech hype and LLM-driven software practices.

A developer's blog on AI-assisted and agentic engineering in Elixir, with practical posts on testing patterns, Neovim tooling and code generation. Readers get opinionated, code-backed explanations of how the author builds and uses small open-source tools.