Antonin Januska
About the author
About the author
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.
20+ years building 2012 blogging since 600+ GitHub stars
A.J., for the file
A deployed MVP is worth two prototyped.
Dance like nobody is watching, code like everybody is.
Today's fashion is tomorrow's legacy.
Debugging becomes easier if you first admit that you are the problem.
The best code is no code at all.
Colorado, off the clock
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. 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.
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 TypeScript · MCP 2. Skillbox Agent tooling 3. Agent Compiler CLI CLI that embeds agent skills into CLAUDE.md and fails CI when the embedded content drifts. 4. Using Git Worktrees to Parallelize AI Agents Writing 5. 17 Side Projects I Built With Claude Code in Two Months Writing 6. Programmer's Proverbs 680 stars
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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