#1 Online Media Company in Turkey
How a leading media company measured the real impact of AI coding assistants on their engineering output.
"iftrue gave us the AI adoption metrics we were missing. We can finally tell which teams are getting real lift from Copilot and Cursor, and which ones are just shipping more churn."
Engineering Director
#1 Online Media Company in Turkey
The Challenge
As this media leader's engineering team grew, AI coding assistants spread across squads faster than anyone could measure. Leadership could not tell which teams were getting real lift from Copilot and Cursor and which were just shipping more churn. Gut-feel debates replaced data.
The Solution
With iftrue's AI code attribution and delivery metrics, every pull request is tagged with its AI origin and measured against cycle time, rework, and bug ratio. Engineering leaders now see per-team AI lift next to quality, and the Slack assistant surfaces anomalies before they become sprint problems.
The Results
Six months after rollout, compared to the pre-iftrue baseline.
Cycle time
-61%Median time from first commit to merge, across all tracked repos.
AI code ratio
+100%Share of merged code attributed to AI assistants. Unknown before iftrue.
Rework rate
-50%PRs requiring significant rework within 7 days of merge.
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