NewI built an AI-friendly UI pattern library, and every pattern ships its prompt.New essay: the AI-friendly pattern library.Read the essay
Antonin Januska@antjanus · Boulder, CO
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Portrait of Antonin Januska against greenery

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.

LinkedIn GitHub Follow along by email
20+Years buildingShipping software since 2011.
2012Blogging sinceFourteen years of writing in public.
600+GitHub stars680 of them on Programmer's Proverbs.

Principles

Five proverbs I actually follow.

  1. A deployed MVP is worth two prototyped.
  2. Dance like nobody is watching, code like everybody is.
  3. Today's fashion is tomorrow's legacy.
  4. Debugging becomes easier if you first admit that you are the problem.
  5. The best code is no code at all.
See the proverbs project →
Antonin hiking in Colorado

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.

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.

AI & LLM Systems

Measuring model output, routing it across providers, and trusting none of it by default.

LLM Evaluation & Judge GradingMulti-Provider LLM DispatchToken Budgeting & Rate-Limit EngineeringStructured Output & GuardrailsModel Context Protocol (MCP)Agent Tooling & Orchestration

Languages

Python on the backend, TypeScript for everything else, SQL wherever the data lives.

PythonTypeScriptSQL

Platforms & Tools

Async services on Kubernetes, databases picked per job, front ends in React or Svelte.

FastAPIRedisPostgresSQLiteKubernetes on AzureReact & Next.jsSvelteKit

Leadership

Setting technical direction and standards, then reviewing what ships against them.

Technical StrategyEngineering StandardsCross-Team DeliveryCode ReviewMentoring

Selected work

cc-dash

TypeScript · Model Context Protocol

Agent Compiler

CLI that embeds agent skills into CLAUDE.md and fails CI when the embedded content drifts.

Let's build something that survives real usage.

I help teams implement AI-enabled product work, sharpen engineering practices, and build systems that survive real usage.

Get in touch →

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AntoninStaff Engineer, writing since 2012

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