GitHub Actions: Optimization and Performance
Slow CI is a productivity killer. Here's how to slash your GitHub Actions workflow times—with real examples, benchmarks, and the caching strategies that actually work.
Posts in Tools
GitHub Actions: Advanced Triggers and Events
Push and pull_request are just the beginning. Here's how to trigger workflows from Slack, schedule nightly builds, chain workflows together, and turn GitHub into a surprisingly capable automation platform.
GitHub Actions: Security Best Practices
Your GitHub Actions workflows have access to your secrets, your code, and your deployment pipelines. Here's how to lock them down before someone else does.
GitHub Actions: Workflow Design Patterns
Your GitHub Actions workflows don't have to be unmaintainable YAML spaghetti. Here are the design patterns, refactoring techniques, and organizational strategies that keep workflows clean as they grow.
GitHub Actions: What You Can Actually Do With Them
GitHub Actions can do far more than run your tests. Here's a tour of the surprising, useful, and unconventional things people build with workflows—and the start of a series going deeper.
docset2md: Giving AI Agents Offline Documentation Access
I built a CLI that converts documentation docsets to Markdown files—because Apple's online docs don't work without JavaScript, and I don't want MCPs in my workflow.
How to Build CLI Applications That Don't Suck
I've been building command-line tools for my own workflows, and I've learned a few things about what makes a CLI actually pleasant to use. Here's what I wish someone had told me earlier.
MCPs Are Overrated: Why I Stick With CLIs
Everyone's rushing to build MCP servers for their AI coding workflows. I tried a few, ripped them all out, and went back to plain CLIs. Here's why.
queuestack: A Task Tracker Built for AI Agents
I built a minimal, scriptable task tracker that stores issues as plain Markdown files—perfect for agentic workflows where AI assistants need to track and manage work.