Productivity

There comes a time in every programmer’s life, when using coding copilots, where you look at your monthly bill and think: “This is great and all, but I have more subscriptions than my local gym membership.” That moment came for me with quite a lineup: Claude Max 5, Codex Plus, and the temptation to throw in Z.AI with OpenCode for the grunt work. The idea sounded fantastic. The problem? If you throw three agents into your workflow with no ground rules, you’ll end up like a chaotic construction site boss—everyone scrambling around while no one holds the blueprints. ...

TL;DR: If you’re using Codex, use a command to control the session or application, and use a skill to teach the agent a way of working. In Claude Code, the current documentation already treats skills as something you can invoke with /skill-name, so the concepts merge more there. Not so in Codex: types might exist as a skill, but /types won’t exist by default. There’s a common confusion when switching from Claude Code to Codex. And it’s understandable. ...

TL;DR: After 165 sessions with Claude Code and 27 with Codex CLI, one thing is clear: use Claude for interactive, exploratory work and Codex for autonomous tasks you can delegate and forget about. It’s not about which is better — it’s about when to use each. My data shows the combination outperforms either one alone. It’s 9:00 a.m., coffee in hand, and I have a vague idea about restructuring a module. I don’t know exactly what I want yet — I just know the current setup isn’t right. ...

TL;DR: Linear just launched an integrated AI agent. Cool, but it doesn’t address the problem developers face when working with coding agents in the terminal. What we actually need isn’t another AI agent but a rock-solid CLI that our existing agents can use seamlessly. And if we’re going to build one, it should be in Rust — which is why lql exists: a CLI for Linear, purpose-built for agents. Yesterday, Linear launched their AI agent. It’s an integrated chatbot that gets your roadmap, your issues, and even your code. You can chat with it on Slack, mention it in a comment, and it’ll synthesize context, suggest actions, and even create issues for you. ...

Have you ever written a technical plan at 11 PM, convinced it was flawless, only to realize the next morning you forgot authentication? Happens to me. More than once. And the worst part isn’t the oversight—it’s that when you use AI to plan things out, the plan sounds so coherent your brain stops looking for flaws. Claude generates a document with sections, dependencies, execution order, and it all checks out. Seems like a senior engineer’s masterpiece. But nobody has challenged it. ...

How many gigabytes of junk are sitting on your Mac right now without you even noticing? I’m not talking about duplicate photos from that 2019 barbecue or your Downloads folder looking like a digital landfill. I’m talking about build artifacts. node_modules from projects you haven’t touched since the pandemic. Build caches for frameworks you barely remember installing. Xcode’s derived data piling up like dust under the bed. I spent months with my drive hovering at 85% full, juggling what to delete. Then I found Mole, ran mo purge --dry-run, and the screen spat out a number: 17 GB recoverable. Three hundred and fifty forgotten build artifacts quietly rotting in the dark. ...

Imagine you have a brilliant coworker. Solves complex problems, writes clean code, understands what you ask on the first try. But every morning, when you tell them “open the course project,” they look at you with a poker face and ask: “What course? Where is it?” Every day. Without exception. It’s exactly like living with Leonard Shelby, the protagonist of Memento. The guy who can’t form new memories and has to tattoo important things on his body to remember them. ...

I currently have three Claude Code sessions open. One is translating blog posts. Another is writing tests for a CLI. The third is helping me debug a data pipeline. Each one runs in its own worktree, each one in its own Ghostty split, while I jump between them using Cmd+Alt+Arrow. I haven’t opened iTerm2 in months. I haven’t touched tmux in weeks. Everything lives in a single Ghostty window. Is it the perfect setup? No. Is it the most productive setup I’ve ever had? Absolutely. ...

If you’ve read my post about worktrees in Claude Code, you know the key to parallel workflows is a simple flag: --worktree. Run it, and you get an agent working in its own isolated repo copy. Launch three, and you’ve got three agents working in parallel without clashing. Magic. Now you open Codex CLI, look for an equivalent flag… and it doesn’t exist. There’s no --worktree. No --tmux. No isolation: worktree for custom agents. Issue #12862 has been open on GitHub asking for exactly this, with community members proposing their own implementations in forks, but nothing has been merged. Native parallelism for Codex CLI doesn’t exist — not yet. ...

A few weeks ago, I wrote about git worktrees — what they are, how to create them, and why they’re better than cloning a repo three times. The basics. But the basics are only half the story. Because Claude Code doesn’t just work with worktrees — it has native support for them. Dedicated flags, automatic isolation, integration with tmux. And the difference between knowing worktrees exist and knowing how Claude Code uses them is like the difference between having a car and knowing it has sport mode. ...