Reading

Articles and whitepapers

Selected reads on AI delivery, pull request quality, and the systems required to scale engineering output without losing strategic focus.

Open letter

AI adoption is being measured wrong

An open letter to software tool leaders on why AI adoption measurement needs to move beyond usage, generated code, and developer activity toward value delivery, safety, and learning.

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Whitepaper (PDF)

The future of AI engineering is not more code, but better decisions about what gets built

Our whitepaper explains why AI has shifted the bottleneck from implementation speed to work selection, execution-lane choice, and learning from outcomes.

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External article

There’s a hidden tax on every AI-generated merge request

A practical look at how AI-generated pull requests can increase review overhead, quality risks, and process strain when teams optimize for raw output instead of delivery quality.

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