Antonin Januska

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

Summary

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

Twenty years of building software, most of it lately in domains where a confidently wrong answer is worse than no answer.

In numbers

20+

Years building

2012

Blogging since

600+

GitHub stars

  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

Antonin hiking in Colorado
  1. Photography

    I shoot animals, landscapes, people, and street scenes. The camera is how I stay observant.

  2. Fiction

    I write AI-themed fiction and short stories when technical writing is not enough.

  3. Podcasts & Games

    I have opinions about Final Fantasy, narrative design, and the overlap between games and technology.

What I work with now

Capabilities

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

  1. cc-dash

    A dashboard and Model Context Protocol server for a project portfolio whose entire state lives in markdown files.

  2. Skillbox

    Personal and utility prompts packaged as skills for Claude Code.

  3. Agent Compiler

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

  4. Using Git Worktrees to Parallelize AI Agents

    Giving each agent its own isolated workspace.

  5. 17 Side Projects I Built With Claude Code in Two Months

    From TUI apps in Rust and Go to browser games and agent tooling.

  6. Programmer's Proverbs

    A collection of proverbs from the programmer.

Work together

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