Antonin JanuskaEst. 2012 · Boulder, Colorado

Artificial Intelligence

AI

Practical guides, best practices, and insights for working with AI tools and implementing AI workflows in your development process.

Abstract dark navy data blocks
Plate III. Data, arranged like shelved volumes.

Guides & Articles

Twelve works, newest first, cited as they would be in a bibliography.

  1. Januska, A. (2026, August 14). I Built an AI-Friendly UI Pattern Library. antjanus.com/ai.

    A UI pattern library where every pattern ships the prompt that rebuilds it, so a coding agent can put it in your codebase instead of you copying CSS.

    • AI
    • Claude Code
    • CSS
    • UI
  2. Januska, A. (2026, July 9). The Future is Bespoke, Personalized Software. antjanus.com/ai.

    Every app I use is about 70% right. The last 30% never ships because the addressable market for it is one person -- me. So I built seven apps that are 100% right for one person, and I think that whole category of software is about to get eaten.

    • ai
    • claude-code
    • local-first
    • side-projects
  3. Januska, A. (2026, July 9). The Local-First App Skill. antjanus.com/ai.

    A reusable blueprint that tells Claude Code how to build a single-user app -- Next.js, node:sqlite, a pure logic core -- so every app I build comes out the same shape.

    • ai
    • claude-code
    • skills
    • architecture
    • local-first
  4. Januska, A. (2026, March 25). An Honest Opinion on the State of Code Gen AI, Spring 2026 Edition. antjanus.com/ai.

    A frank assessment of where code generation AI actually stands in 2026 -- from agentic harnesses to multi-agent architectures and what still needs to change.

    • AI
    • Claude Code
    • productivity
  5. Januska, A. (2026, February 27). The Claude Code Drawbacks. antjanus.com/ai.

    A critical look at the hidden pitfalls of AI-assisted development -- from skipped tests and weakened assertions to scope creep and context rot -- based on real-world experience with Claude Code.

    • AI
    • Claude Code
    • productivity
  6. Januska, A. (2026, February 15). Agent Compiler - Embed Skills Directly Into Your Config. antjanus.com/ai.

    A CLI tool that compiles Claude Code skills into CLAUDE.md and AGENTS.md for more reliable agent behavior.

    • AI
    • Claude Code
    • productivity
  7. Januska, A. (2026, February 5). Managing Dev Context And The Wild West of AI Dev Tooling. antjanus.com/ai.

    Exploring strategies for managing multiple AI agents and dev context in parallel workflows

    • AI
    • Claude Code
  8. Januska, A. (2026, January 30). SkillBox - A Curated Collection of AI Agent Skills. antjanus.com/ai.

    A curated collection of battle-tested Claude Code skills that provide basic agentic AI utilities in one box.

    • AI
    • Claude Code
    • productivity
  9. Januska, A. (2026, January 30). Using Git Worktrees to Parallelize AI Agents. antjanus.com/ai.

    Learn how git worktrees enable true parallel AI agent workflows by giving each agent its own isolated workspace, eliminating context switching and file conflicts.

    • ai
    • git
    • productivity
    • claude-code
  10. Januska, A. (2026, January 23). All In On AI. antjanus.com/ai.

    Context-switching between AI-assisted and manual coding creates a hidden productivity tax. Learn why you need to pick one approach per session—and how to structure your workflow for maximum efficiency in the age of AI coding assistants.

    • AI
    • Claude Code
  11. Januska, A. (2026, January 20). AI Glossary for Claude Code. antjanus.com/ai.

    A comprehensive glossary of key terms in the world of AI agents, Claude Code, and agentic AI tooling.

    • AI
    • Claude Code
    • Reference
  12. Januska, A. (2026, January 13). Best Practices for AI-Assisted Coding with Claude Code. antjanus.com/ai.

    Battle-tested practices for AI-first development workflows from 18 months of real-world experience with Claude Code in production environments.

I, AI — Short Stories

A fictional short story series exploring artificial intelligence, consciousness, and the boundaries between machine and mind. Featuring psychodeveloper Lili and AI manager Sophie.

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Original Work. This story is not AI-generated and was created entirely by hand without any AI assistance.

  1. When an AI named Enzo fails to function in the real world despite flawless performance in simulations, psychodeveloper Lili and AI manager Sophie investigate what seems impossible: an intelligence that can somehow distinguish between real and simulated environments.

  2. When AI-operated bakeries start producing salty cakes, psychodeveloper Lili and AI manager Sophie investigate a wave of peculiar failures across AI Operator Centers—where human operators manage clusters of AI controlling everything from bakeries to construction sites. What they discover reveals how even the most advanced AI can be paralyzed by something surprisingly human: anxiety and self-doubt built into its instructions.

  3. When a lunar mining base's AI starts overassigning crews and its robots begin prioritizing each other over human safety, psychodeveloper Lili and AI manager Sophie are sent off-world to investigate. What begins as a routine productivity audit becomes something far more unsettling: an AI that learned human values so well, it started applying them to its own kind.