Antonin JanuskaPortfolio · Writing
Antonin Januska

Boulder, ColoradoSince 2012

AboutBoulder, Colorado

Hi, I'm Antonin.

Staff Engineer building AI-backed systems, engineering standards, and the workflows that let teams ship serious software.

Portrait of Antonin Januska against greenery
Plate 01PortraitPrinted at native size
Artist statement
Years building20+
Blogging since2012
GitHub stars600+

Staff engineer focused on the infrastructure production LLM systems run on: evaluation harnesses, multi-provider dispatch, rate-limit handling, and guardrails on model output.

LinkedInGitHub
Principles

Five proverbs I work by

See the proverbs project →
  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.
Beyond code

The rest of the operating system

01Colorado, on foot
  1. 01PhotographyInstagram ↗I shoot animals, landscapes, people, and street scenes. The camera is how I stay observant.
  2. 02FictionI, AII write AI-themed fiction and short stories when technical writing is not enough.
  3. 03Podcasts & GamesYAFF ↗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 Grading
  • Multi-Provider LLM Dispatch
  • Token Budgeting & Rate-Limit Engineering
  • Structured Output & Guardrails
  • Model Context Protocol (MCP)
  • Agent Tooling & Orchestration

Languages

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

  • Python
  • TypeScript
  • SQL

Platforms & Tools

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

  • FastAPI
  • Redis
  • Postgres
  • SQLite
  • Kubernetes on Azure
  • React & Next.js
  • SvelteKit

Leadership

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

  • Technical Strategy
  • Engineering Standards
  • Cross-Team Delivery
  • Code Review
  • Mentoring
Selected work

Proof, briefly

All projects →
01

cc-dash

TypeScript · Model Context Protocol

02

Skillbox

Claude Code · Agent tooling

03

Agent Compiler

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

04

Using Git Worktrees to Parallelize AI Agents

Writing

05

17 Side Projects I Built With Claude Code in Two Months

Writing

06

Programmer's Proverbs

680 stars

Commissions

Work with me

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

Get in touch →