01
AI & LLM Systems
Measuring model output, routing it across providers, and trusting none of it by default.
About · Boulder, Colorado
Hi, I'm Antonin.
Staff Engineer building AI-backed systems, engineering standards, and the workflows that let teams ship serious software.
Staff engineer focused on the infrastructure production LLM systems run on: evaluation harnesses, multi-provider dispatch, rate-limit handling, and guardrails on model output.
- 20+Years building
- 2012Blogging since
- 600+GitHub stars
z −1 · Principles
Five proverbs I actually follow
- A deployed MVP is worth two prototyped.
- Dance like nobody is watching, code like everybody is.
- Today's fashion is tomorrow's legacy.
- Debugging becomes easier if you first admit that you are the problem.
- The best code is no code at all.
z −2 · Beyond code
The rest of the operating system
Photography
I shoot animals, landscapes, people, and street scenes. The camera is how I stay observant.
Fiction
I write AI-themed fiction and short stories when technical writing is not enough.
Podcasts & Games
I have opinions about Final Fantasy, narrative design, and the overlap between games and technology.
z −3 · Capabilities
What I work with now
The stack changes. The throughline doesn't. I'm usually working where backend systems, product delivery, and AI workflows collide.
02
Languages
Python on the backend, TypeScript for everything else, SQL wherever the data lives.
03
Platforms & Tools
Async services on Kubernetes, databases picked per job, front ends in React or Svelte.
04
Leadership
Setting technical direction and standards, then reviewing what ships against them.
Selected work
- cc-dash TypeScript · Model Context Protocol
- Skillbox Claude Code · Agent tooling
- Agent Compiler CLI that embeds agent skills into CLAUDE.md and fails CI when the embedded content drifts.
- Using Git Worktrees to Parallelize AI Agents Writing
- 17 Side Projects I Built With Claude Code in Two Months Writing
- Programmer's Proverbs 680 stars
Work together
I help teams implement AI-enabled product work, sharpen engineering practices, and build systems that survive real usage.
Get in touch →