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Structural Friction: A metric for human coordination cost

2•davidvartanian•1h ago
I was leading a team and everything felt slow. Everyone was busy, but shipping features was still very slow. We tracked velocity and story points, but those metrics don't even care about how good a business is doing or the cost of development, so I realized they were useless to me.

We had a clean architecture (in theory), but it was strangling us with coordination requirements. Every minor feature change required a sync meeting across multiple teams and changes usually propagated to other teams as well. We were spending more time on the communication and architectural overhead than the actual engineering work.

I stopped measuring velocity and started measuring Structural Friction. I defined it as the total human hours spent on coordination tasks (namely meetings, design, development in foreign modules) relative to the actual hours spent on high-impact code. The number was horrifying.

I had to modularize every module so domain data was no longer leaked. This was essential so changes within that module would never require coordination meetings or work in other modules.

My team’s output tripled in three months. Structural friction is an architectural feature that you must actively optimize to keep low. If your architecture forces you to coordinate (either in tech, in meetings, or both), it's flawed. Eliminate the need for coordination, and you eliminate the waste.

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https://www.bloomberg.com/news/articles/2026-03-19/hsbc-mulls-deep-job-cuts-from-multiyear-ai-fue...
2•SilentM68•2m ago•0 comments

Watts, Water, and Carbon: What Your AI Prompts Cost

https://blog.quent.in/blog/2026/03/19/watts-water-and-carbon-what-your-ai-prompts-actually-cost/
1•sylvainkalache•2m ago•0 comments

Prolonged high oil prices could 'crimp' AI boom, WTO warns

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1•Brajeshwar•3m ago•0 comments

Benchmarking Kubernetes Log Collectors: Vector, Fluent Bit, OTEL Collector, etc.

https://victoriametrics.com/blog/log-collectors-benchmark-2026/index.html
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Blob Objects: A Practical Guide to Files, Previews, Downloads, and Memory

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LLM Terminology explained simply: Weights, Inference, Effective sequence length

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A National Policy Framework for Artificial Intelligence [pdf]

https://www.whitehouse.gov/wp-content/uploads/2026/03/03.20.26-National-Policy-Framework-for-Arti...
1•Balgair•3m ago•0 comments

A shared memory spec where every agent write must declare its intent

https://akashikprotocol.com/specifications/draft
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Claude Code: Things I Learned After Using It Every Day

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1•gibuloto•6m ago•1 comments

Show HN: Agent Package Manager (APM) for Agent Configuration

https://github.com/microsoft/apm
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Nintendo planning Switch 2 revision with replaceable battery for Europe

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1•vrganj•9m ago•0 comments

Project N.o.m.a.d

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1•geerlingguy•10m ago•0 comments

AI spam, the latter day internet, force digg.com offline for now

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Memory Primitives: Why Most Agent Memory Systems Are Incomplete

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The Malleable Software That Never Was

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https://www.iea.org/reports/sheltering-from-oil-shocks
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Accumulated Ignorance at Scale

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Micronation

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1•Insanity•24m ago•0 comments

Show HN: MUP – Stop making LLMs rebuild UI from scratch every time

1•Ricky_Tsou•25m ago•0 comments

Nvidia's Huang pitches AI tokens on top of salary

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11•wmat•25m ago•20 comments