Each guide is a structured path of lessons, in the order I'd teach them. Start at the top if you're new, or jump to the chapter you need. Every lesson is a full article on the blog, and your progress is saved on this device.
They come from work I've actually done: running Git on teams, shipping AI features, and building HairOver in public. Where I haven't figured something out, the guide says so.
A practical Git and GitHub knowledge hub — branches, commits, merge, rebase, workflows, troubleshooting, and advanced concepts.
17 lessonsThe useful part of becoming an AI engineer: how models behave, what they cost, how retrieval works, when an agent is worth it, and how you know the feature still works.
13 lessonsThe public case study of building HairOver, an AI hairstyle app, from $0 toward a $1M MRR goal — product, pricing, distribution, and what hasn't worked yet.
8 lessonsFrom idea to business — a practical entrepreneurship guide from a software engineer building HairOver in public. Problems, validation, pricing, customers, and metrics.
13 lessons