Finding AI Gold With Lean Startup Techniques
Most AI efforts start with tools and demos. Better to use product discovery to aim AI at a real business constraint and test the riskiest assumption first.
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Making sense of agility, scaling, OKRs, product operating models, and leadership: written from 15+ years in the field.
All Posts: Page 5
What Happens to Your Scaled Agile Ways of Working When You Adopt an Agentic SDLC?
Your scaling mechanisms were a choice: coordination overhead that was worth it at the time. AI has not changed the physics of coordination. But it is like going to a planet with different gravity, so you need to adjust how you walk.
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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.
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Your Scrum Team Didn't Get Obsolete. Some Of Its Mechanics Did.
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.
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AI Didn't Kill Agile. It Moved the Bottleneck.
Why the rise of Forward Deployed Engineering is the next agility problem, and how to scale "unreasonable agility" without it eating itself.
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Is Spec-Driven Development a Step Forward or Back?
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.
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