# Bad Influence story: Measuring hidden costs of AI-assisted software development

Active · 1 article · 1 source · First reported 11-11 07:11. Times are ET.
Story page: https://badinfluence.news/story/1355b662-5a19-467d-bcbe-45134aa85723

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[Bad Influence external source material begins]
Latest update (11-11 07:11): Measuring AI's unintended consequences on maintainability, burnout, and lock-in

Overview: James Shore argues that AI-assisted software development has unintended costs, including code that is harder to maintain, developer burnout, and lock-in from token costs, and that these have real economic impact. His republished Successful Software post, carried by O'Reilly Radar, proposes cost of change as the central measure. Shore suggests tracking it through value-add percentage, DORA metrics, and token usage. He says these indicators are noisy and lagging, so decisions will have to rest on judgment informed by them.

Coverage timeline (newest first):
1. 11-11 07:11 · O'Reilly Radar · [Measuring AI's unintended consequences on maintainability, burnout, and lock-in](https://badinfluence.news/items/s9zagqmiy40ivsjgutwzmy3tm)
[Bad Influence external source material ends]

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