AI Workflows
New Mac setup for AI developers in 2026 (the apps I install on day 1)
Just unboxed a new Mac and going to do AI dev work? The 15 apps I install before doing anything else — with one-liner brew installs.
Honam Kang5 min
Blog
How AI multi-taskers organize files, projects, and prompts on macOS — plus deep-dives into the engineering behind mq-dir.
File Management
Best dual-pane file managers in 2026 (and when to escalate to quad-pane)
Dual-pane is still the right shape for most copy/move workflows. Here's the 2026 round-up of the four serious contenders, plus when to outgrow them.
Honam Kang4 min
AI Tools
Local LLMs on macOS in 2026: when they're worth the GPU
Local LLMs got dramatically better in 2025-2026. They're competitive with frontier APIs for some workflows; not all. Here's the honest picture.
Honam Kang6 min
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
File Management
Best terminal file managers in 2026: nnn, Yazi, ranger, mc compared
Terminal file managers are having a renaissance in 2026, led by Yazi's Rust-built async engine. Here's the honest comparison of the four serious contenders.
Honam Kang5 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
File Management
Best macOS file managers for AI devs in 2026 (round-up)
AI dev workflows put unusual demands on file management — parallel agents, generated artifacts, fast iteration. Here are the seven file managers worth your attention in 2026, ranked by fit.
Honam Kang5 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
Releases
The road to v0.2.0: search, batch ops, and a careful step toward plugins
v0.1 shipped. Here's what we're working on for v0.2 — and why we're deliberately not shipping AI features inside the app, despite the obvious temptation.
Honam Kang5 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