Topic Guides

The blog is a long list in date order. These guides group it by the questions engineering leaders actually ask, with a suggested place to start in each.

  • AI Adoption and Return

    Is AI adoption paying off, what should a board ask before cutting engineers, and how do you govern AI use? A guide to the evidence and the arguments.

  • The AI-Era Engineering Organisation

    How roles, teams, careers, hiring and mentoring change when AI contributes code: a guide to Wyrd Technology's writing on engineering organisation design.

  • Delivery Metrics, DORA and Operational Excellence

    DORA, agile metrics and operational excellence for engineering leaders: what to measure, what the numbers cannot tell you, and how AI changes it.

  • Testing Visibility

    Why test coverage is not test effectiveness, and how engineering leaders can see what their tests actually do, especially when AI writes the code.

  • AI Economics and Context Engineering

    What AI really costs, where it should run, and how to manage the context, documentation and state that agents depend on.