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

The Claude Code Drawbacks
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.
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Agent Compiler - Embed Skills Directly Into Your Config
A CLI tool that compiles Claude Code skills into CLAUDE.md and AGENTS.md for more reliable agent behavior.
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Managing Dev Context And The Wild West of AI Dev Tooling
Exploring strategies for managing multiple AI agents and dev context in parallel workflows
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SkillBox - A Curated Collection of AI Agent Skills
A curated collection of battle-tested Claude Code skills that provide basic agentic AI utilities in one box.
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Using Git Worktrees to Parallelize AI Agents
Learn how git worktrees enable true parallel AI agent workflows by giving each agent its own isolated workspace, eliminating context switching and file conflicts.
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All In On 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.
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AI Glossary for Claude Code
A comprehensive glossary of key terms in the world of AI agents, Claude Code, and agentic AI tooling.
Read moreBest Practices for AI-Assisted Coding with Claude Code
Battle-tested practices for AI-first development workflows from 18 months of real-world experience with Claude Code in production environments.
Read moreI, AI - Short Stories
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I, AI: Unknowing Crowds (Part 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.
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I, AI: Spare Cycles (Part 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.
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