Coding agent permissions: between YOLO and micromanagement
Intro I use Claude Code and Codex every day. For some types of work, I can stay in the flow by simply reading the output. But I've noticed that agents with…
Writing
Technical notes from my work. The list also includes pieces published elsewhere, labelled by publication.
How to build an AI agent with modern frameworks in 2026
A tour of the agent frameworks worth knowing — LangGraph and Pydantic AI on the cloud-neutral side, the hyperscaler SDKs on the other — built around one support-triage agent implemented on each.
Compliance and standards: a map for AI engineering teams
The laws and standards an AI team actually runs into — privacy law, SOC 2 and ISO 27001, the AI governance frameworks — and which ones to take seriously first.
VS Code and its forks: landscape in 2026
Cursor, Windsurf, Kiro and the rest all start from the same editor. What separates them is agent behaviour, data handling, and how stable the vendor looks.
From manual coding to an agentic SDLC: a team playbook
Handing out coding assistants is not an adoption plan. A staged path from a legible codebase through specs an agent can act on, to review gates that hold up.
Golden datasets for testing AI: ten practical rules
Small, owned, drawn from real traffic, and weighted toward the failures — how to build an eval set that catches regressions instead of quietly rotting.
Code migration services in hyperscalers: what are the options
What AWS, Azure, and Google Cloud actually offer for AI-assisted migration of enterprise code, and where each one fits.
SDLC tools in methodologies
There are plenty of practices which were tried in different types of projects and came from the vast experience of engineers working on them. Examine your…
Technology Behind This Site
A personal site does not need much technology. Mine needed to display a couple of paragraphs, a picture or two, and not break. My first idea was therefore to…