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GUIDES

Practitioner guides on AI engineering

Working notes from engagements I have actually delivered, rather than summaries of vendor documentation. Each one covers what I ran, in what order, and what the team kept afterwards.

ALSO FROM THE PRACTICE

Comparisons and checklists

Why there are only a few guides

A guide ships only when there is delivered work behind it. Writing up a topic I have not run in a real engagement would produce the same recycled material already available everywhere, which is exactly what these are meant not to be.

That rule keeps the list short and keeps it honest. Each guide carries the date it was last updated, and any pricing or capability claim inside it carries the date that claim was checked against a primary source, because with Claude Code and Cursor those facts go stale within weeks.

They are written for engineering leads and IT managers who have to make adoption work on a real team, not for readers looking for a tool roundup.

  • Who are these guides written for?

    Engineering leads and IT managers who have to make AI adoption work on a real team, not readers looking for a tool roundup. Each guide is written from engagements I have actually run, which is why there are few of them.

  • How often are the guides updated?

    Whenever the underlying tools change enough to invalidate the advice, which with Claude Code and Cursor is often. Each guide shows the date it was last updated, and pricing or capability claims carry the date they were verified.

  • Why are there not more guides?

    Because a guide ships only when there is delivered work behind it. Writing up a topic I have not run in a real engagement would produce the same recycled material already available everywhere, which is exactly what these are meant not to be.