AI Coding Made Code Review the Bottleneck
When AI coding raises the arrival rate of pull requests, telling reviewers to work faster is the wrong move. Fix reviewability and end-to-end flow instead.
Read more →Making sense of agility, scaling, OKRs, product operating models, and leadership: written from 15+ years in the field.
When AI coding raises the arrival rate of pull requests, telling reviewers to work faster is the wrong move. Fix reviewability and end-to-end flow instead.
Read more →Don't ask whether you still need Sprint Planning. Ask whether you still have an alignment problem. Separating the mechanism from the capability is the whole game right now.
Read more →Why the rise of Forward Deployed Engineering is the next agility problem, and how to scale "unreasonable agility" without it eating itself.
Read more →Spec-driven development looks like a step backward if you read it as requirements theater. The better frame: the spec is a higher-level language for intent.
Read more →Spec-driven development points an agent at a deliverable. Goal-based loops let you point it at a condition instead: the question is whether the condition you picked is an outcome or just green tests.
Read more →You can 10x engineering and still not 10x the business. AI creates speed, not automatic value, and if engineering was not the constraint, that speed just moves the congestion somewhere else.
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