The Dotpack Blog
Shipping faster with AI that actually behaves.
Practical writing on AI-assisted development, reusable workflows, and building production-grade software with tools like Cursor, Claude Code, and Gemini CLI.
What You’ll Find Here
Clear, opinionated insights on using AI as a real engineering tool — not a novelty.
- • How to design repeatable AI workflows
- • Command-driven development with agents and skills
- • Cross-tool setups that don’t break every week
- • Lessons from building Dotpack and shipping real products
No prompt poetry. No hype. Just patterns that work.
AI Development
Patterns for using AI in real codebases — commands, agents, guardrails, and workflows that scale beyond demos.
Tutorials
Step-by-step guides for setting up Dotpack, integrating with Cursor, Claude Code, and Gemini CLI, and shipping faster across projects.
Engineering Practices
Thoughts on consistency, tooling, developer experience, and why AI configuration should live in your repo — like any other infrastructure.
Recent Posts
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Notes, walkthroughs, and field reports from building and using Dotpack in production.
Mastering Dotpack: A Guide to Custom AI Commands
Stop typing the same prompts over and over. Unlock the full potential of your AI coding assistant with Dotpack’s custom commands.
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Why Prompt Engineering Doesn’t Scale (And What Does)
Every developer has a prompt graveyard. Here’s why prompt engineering is a dead end—and what actually scales.
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AI is only useful if it’s predictable. This blog is about making it so.