ANTJANUSAntonin Januska · Boulder, CO

Sheet 05 of 06. Operator record.

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

Portrait of Antonin Januska against greenery
Years building
20+
Blogging since
2012
GitHub stars
600+

General notes

The principles every drawing on this site is checked against.

  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

The rest of the operating system

Antonin hiking in Colorado
Fig. 5, field survey, Colorado.
  • 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.

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.

Capabilities
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

Selected work
ItemWorkNote
1cc-dashTypeScript · Model Context Protocol
2SkillboxClaude Code · Agent tooling
3Agent CompilerCLI that embeds agent skills into CLAUDE.md and fails CI when the embedded content drifts.
4Using Git Worktrees to Parallelize AI AgentsWriting
517 Side Projects I Built With Claude Code in Two MonthsWriting
6Programmer's Proverbs680 stars

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

Get in touch