HanLHo.

I help teams build software that keeps shipping as complexity grows.

I'm Hans L'Hoest. I collaborate with engineering teams to align strategy, architecture, and delivery, and work hands-on to research and build products. Roles: Fractional Architect for teams and Software Product Engineer for co-creation.

Work with me

If you think I might be a good fit for your team or product, send a short email. As conversation starter, tell me about where you are today and what you're trying to change. I will reply as soon as possible.

  • Harness Engineering

    Today I heard the term “harness engineering” for the first time: Harness engineering is the practice of building tooling, tests, and automation that let coding agents execute tasks safely and reliably. If code is written more and more by LLMs, the focus seems to be shifting to …

  • Combining agent skills

    A short post on combining skills. It's not always clear when a skill will be called or triggered. The easiest way is to put instructions and directly invoke the skill you want by name. For example, for my Today I Learned mini blog site, I have two skills to keep my TILs focussed …

  • Experience Report: Building a time-tracking AI assistant

    This is a short experience report about using skills (with Codex and its models) to build a personal AI assistant that helps me maintain my time-tracking log. To set expectations: the assistant does not manage my calendar or tasks. It helps me keep a time-tracking log that lives …

  • AI’s Opportunity: Pacing Control Loops with Development

    What caught my attention in the book Vibe Coding by Gene Kim and Steve Yegge is the idea that, as LLMs and coding agents change how we build software, control loops—tests, reviews, and other signals that tell you whether a change behaves as expected—should be faster and more inte…

  • On Building Reliable Software with LLMs

    This post captures my current thinking on how LLMs are impacting software development, particularly around software quality and engineering discipline. My main observation: most of the best practices we've relied on for years are just as important—maybe even more so—in an LLM-ass…