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.
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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.
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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.
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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.
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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.
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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.