Found 8 posts with tag #Claude Code
The Unix philosophy — small programs, composed through pipes, doing one thing well — turns out to be an ideal operating model for AI agents. Skills leverage this by guiding agents to use battle-tested programs rather than reinventing them. Here's why that beats building custom MCP servers for most workflows.
Documentation drift is the silent killer of codebases. Your roadmap says one thing, your website another, and your README hasn't been updated in months. Here's how I built a pluggable Claude Code skill that detects drift, shows exactly what's out of sync, and fixes it—with your approval.
A deep dive into fixing broken zsh tab completions with Oh My Zsh, and how I turned the solution into a Claude Code skill. Learn why fpath order matters, how compinit timing breaks completions, and the pattern of encoding debugging knowledge for AI assistants.
There's a strange moral superiority creeping into how people talk about AI-assisted development. We mock AI for making mistakes we'd forgive in ourselves. We demand one-shot perfection from tools while accepting iteration from humans. Maybe it's time for a little more empathy—and a little more honesty about how software has always been built.
How I built an automated system that generates social images for blog posts using multiple AI providers, with Claude analyzing results and a PR comment interface for human-in-the-loop selection. A case study in agent-orchestrated workflows.
When you're cooking, there will be shells. When you're vibe coding, there will be markdown files scattered everywhere. AI-generated artifacts aren't bugs in the process—they're receipts of creation. Here's why fighting the mess is futile, and why hiring a cleanup crew (of agents) is the answer.
Progress doesn't ask for permission. As AI transforms how we build software, every engineer faces a choice: resist, observe from the sidelines, or learn to orchestrate the future. This is our Hamlet moment.
Revisiting my advice to "read more, write less code" in the age of AI. While research remains crucial, developer workflows now include a vital new step: co-creating with AI tools before coding.
