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.
How to organize projects, prompts, and artifacts when you run multiple AI agents in parallel.
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.
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.
When you're using an LLM to read papers, summarize sources, and write a synthesis, four file-manager panes beat 14 browser tabs. Here's how to wire it up.
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.
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.
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.
A directory layout, naming convention, and pane-routing strategy for running multiple Claude Code sessions on macOS without losing your place.