AI Workflows
Setting up a new Mac for Claude Code work, end-to-end
From unboxed Mac to first Claude Code session in 90 minutes. Every step, every command, every config — the complete walkthrough.
Honam Kang5 min
Posts tagged #claude-code
22 posts
AI Workflows
Recovering from a runaway agent: rollback patterns
Sometimes an agent goes way past scope and modifies things it shouldn't have. Here's the rollback playbook — git-based, fast, low-stress.
Honam Kang4 min
AI Tools
Claude Code memory without polluting global config
Claude Code's memory feature is powerful but easy to misuse. The pattern that scales — what to put in global memory, what to put per-project, what to never persist.
Honam Kang6 min
AI Workflows
Reviewing AI-generated PRs: a checklist that catches drift
AI agents produce diffs that look right and are subtly wrong. Here's the structured review checklist that catches the drift before it ships.
Honam Kang7 min
AI Tools
File-context strategies for AI agents: what to feed, what to skip, what to summarize
When an AI agent has access to your whole repo, it doesn't read your whole repo. Here's how to choose what enters context, what stays out, and how that decision affects output quality.
Honam Kang4 min
AI Tools
When the agent is wrong: a debugging protocol
AI agents fail in specific ways. The right debugging response depends on the failure mode. Here's the structured protocol that catches drift fast.
Honam Kang6 min
AI Workflows
Daily standup with AI: how I report what 5 agents did overnight
Five parallel agents produce a lot of output. The trick is summarizing what mattered without reading every commit. Here's the daily routine.
Honam Kang5 min
AI Tools
cmux multi-session setup: running 5 AI agents in parallel without losing your mind
cmux turns one terminal window into a tile of independent agent sessions. Here's how to wire it up, name your sessions, and integrate it with a file manager so context never gets lost.
Honam Kang3 min
AI Tools
Context engineering: the hidden lever for agent quality
Prompt engineering peaked. Context engineering — what's in the agent's working memory, what's not — is the 2026 leverage point. Here's the practical playbook.
Honam Kang7 min
AI Workflows
Session naming conventions that survive 100 sessions
Naming AI sessions feels trivial until you have 50 of them. The convention that scales — and the patterns that break.
Honam Kang5 min
AI Tools
Claude Code vs Cursor: how each handles your file system (a 2026 comparison)
Both tools edit files. They have very different opinions about which files, how many at once, and where their working memory lives. Here's the honest comparison from someone who runs both daily.
Honam Kang5 min
AI Workflows
Templates for AI projects: the bootstrap files that save hours
Every new AI project needs the same handful of bootstrap files. Skipping them costs an hour each session. Here are the seven templates that pay back immediately.
Honam Kang4 min
AI Workflows
When to use Claude Code vs Cursor vs Codex (a decision tree)
Three AI coding tools that overlap on the surface but optimize for different workflows. Here's the decision tree for picking the right one per task.
Honam Kang5 min
AI Tools
Custom Claude skills: when to write one (and when not to)
Claude skills are reusable agent capabilities. They're powerful — but writing one for the wrong workflow is wasted effort. Here's the practical guide.
Honam Kang5 min
AI Workflows
Reading an unfamiliar codebase with an LLM (a 4-step process)
Inheriting code is easier with an LLM if you ask the right questions in the right order. The 4-step process that surfaces the architecture in under an hour.
Honam Kang5 min
AI Workflows
Worktree, branch, or session: parallelism patterns for AI dev
Three different ways to keep parallel AI agents from stepping on each other. Each has a place; getting the choice right per task saves real conflicts.
Honam Kang5 min
AI Tools
Aider vs Claude Code for refactoring: a side-by-side
Aider and Claude Code both do agent-style coding from a terminal. They diverge on git workflow, model flexibility, and edit precision. The honest comparison for refactor work.
Honam Kang6 min
AI Workflows
How to write a CLAUDE.md that actually helps the agent
CLAUDE.md is the most-undervalued AI productivity tool. A good one saves hours per week; a generic one is dead weight. Here's what makes the difference.
Honam Kang4 min
AI Workflows
Organize your AI prompts on disk: a flat library, version-controlled, reusable
Stop pasting the same instructions into every chat. Here's a battle-tested layout for a personal prompt library that you can grep, version-control, and share between Claude Code, Cursor, and Codex.
Honam Kang4 min
AI Tools
MCP servers worth setting up in 2026 (filesystem, git, databases)
Model Context Protocol matured in 2025-2026. Here are the seven MCP servers that earn their setup cost for AI dev workflows.
Honam Kang6 min
AI Workflows
Setting up a parallel agent fleet on macOS (5+ sessions, no chaos)
Running five Claude Code sessions on one Mac without losing track is a workflow problem, not an AI problem. Here's the layout that survives daily use.
Honam Kang5 min
AI Workflows
How to organize Claude Code projects on macOS (a workflow that survives 10 sessions)
A directory layout, naming convention, and pane-routing strategy for running multiple Claude Code sessions on macOS without losing your place.
Honam Kang5 min