Writing
Deep dives, field notes, and practical guides on software testing, AI-enabled workflows, and engineering craft.
A practical look at AI coding agents in 2026: critical-thinking models, agent workflows, reusable skills, costs, and the limits of open models.
Read more: AI Coding Agents in 2026: Discovery, Skills, Costs, and What Comes NextNotes from setting up Bonsai Image 4B locally on Apple Silicon, debugging the first failed path, wrapping the working pipeline in a reusable CLI, and using it from any project directory.
Read more: Local Image Generation with Bonsai Image 4BHow a local testing stack evolved from one Docker-based environment into three distinct runtime profiles with clearer intent: lightweight, full, and server.
Read more: From One Local Stack to Three Training ProfilesA practical mental model for developers: understand LLMs, AI agents, function calling, and why coding agents built on the same model behave differently.
Read more: LLMs vs AI Agents: A Practical Mental Model for DevelopersA practical guide to Playwright CLI for AI agents: run browser actions from the terminal, load Playwright Skills, mock APIs, capture traces, and build isolated agentic tests.
Read more: Playwright CLI, Skills and Isolated Agentic Testing