DORA, SPACE, LinearB — and the Question They All Leave Unanswered

TL;DR AI
2 min readKey summary
The article reviews DORA, SPACE, LinearB, CodeScene, and git-based tools as useful but incomplete views of engineering productivity.
Their common blind spot is code durability: whether changes keep working and surviving in production over time.
The author argues that existing frameworks also obscure individual contribution visibility and ownership.
To address this gap, the author created EIS, or Engineering Impact Signal, to track how engineers influence long-term code survival.
The piece warns that teams may optimize for speed or sentiment while missing technical debt and architecture risk.

