The AntJanus Dispatch Tuesday, Sept. 29, 2026
The AntJanus Dispatch The Profile
Portrait of Antonin Januska against greenery
Portrait: AntJanus
Antonin Januska, Boulder, Colorado.
The Profile · Boulder, Colo.

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.

20+Years building
2012Blogging since
600+GitHub stars

Principles

Principles

  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 →

Beyond Code

The rest of the operating system

Antonin hiking in Colorado
Hiking in 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. Read I, AI

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

Notice

Work with me

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

Get in touch →