how do modern engineering teams measure developer velocity accurately without resorting to toxic metrics like lines of code
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
how do modern engineering teams measure developer velocity accurately without resorting to toxic metrics like lines of code
1 real search · 1 real-search pass
DORA software delivery performance metrics 2025 official SPACE framework developer productivity ACM paper engineering flow metricsGoogle ↗
OBSERVEDReason
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (1)
Classes come from the query-classifier (a local Laya model). 1 of 1 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT1 real searches · gpt-6
DORA software delivery performance metrics 2025 official SPACE framework developer productivity ACM paper engineering flow metrics Google ↗