Short, analytical essays on software testing in Salesforce projects, drawing lessons from specific defects and specification flaws. Readers get a way of thinking about test scope, ambiguous requirements and data modelling errors.

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 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 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.