#strategy
Every post tagged "strategy".
69 posts · showing 11–20
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Technical Debt in the Age of Cheap Code
The old rules assumed writing code was the expensive part. When it isn't, imperfect implementations matter less and surplus surface matters more — and the create-versus-remove asymmetry gets worse.
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Onboarding Into a Codebase Nobody Fully Read
"Ask whoever wrote it" assumed someone did. Where code arrived complete in one commit and was approved rather than authored, the history holds no reasoning — and onboarding is where you find that out.
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Hiring Engineers When Take-Home Tests Are Meaningless
The signals didn't get noisier — they stopped measuring what they proxied for. The replacements test the right thing and are more subjective, which is a cost that lands on specific people.
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Estimating Work When Implementation Speed Is Unpredictable
Estimation always worked badly and consistently, which is what made velocity useful. The consistency is what broke — the mean fell and the variance rose, which is the worst combination for planning.
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What Changes for Engineering Managers
Four management assumptions break at once: that output tracks effort, that capacity is headcount, that people learn by doing, and that review is a small tax. Each breaks differently.
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What Changes for Product Managers
A role that existed partly to ration scarce engineering capacity changes when capacity stops being scarce — and the discipline of saying no gets harder, not easier.
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Why "Just Add an Agent" Fails as a Product Strategy
Usage goes curious, then low, then the feature sits there — and the team upgrades the model, which doesn't help, because capability was never the problem.
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The Use Cases Everyone Tries and Nobody Ships
Six applications get attempted everywhere and stall at the same four points. Each has a narrower version that ships — and it's usually less exciting than the pitch that funded it.
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The Use Cases Agents Genuinely Solve Today
A criterion beats a list: complete inputs, a mechanical check, bounded blast radius. Everything clearing that bar is working in production — and the largest realized value is the least discussed.
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Data Work Gets More Valuable, Not Less
The buffer between bad data and consequences was a person who noticed the number looked wrong. Agents act on it — which turns data quality from an analytical property into an operational one.