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3 articles tagged research. See all posts.
An honest look at AI productivity claims, and how to measure 2-3x
A 2-3x productivity gain is real when you measure build success, cycle time, and effort reduction, not vanity metrics. Here is how to tell the difference.
Evals for delivery teams: trusting AI output without re-checking every line
Trustworthy AI output comes from evals built into the real pipeline, not a benchmark: evaluate what matters, gate at the right point, and keep review habits that scale.
What predicts whether an AI cohort actually sticks
Across 700+ practitioners, durable AI adoption tracks three predictors: training on their own codebase, role-specific tracks, and internal champions seeded in the team.