FEATUREDAI HOT (Curated Pool)· aihot-apiZH00:54 · 08·30
→Uber's AI agents now handle 70% of code PRs with zero bill increase
Uber published a technical post stating that AI agents now handle 70% of code PRs company-wide. Call volume grew nearly 10x in six months, yet total AI spend stayed flat and per-session cost dropped 52%. The post doesn't detail which models are used, how agents plug into the review pipeline, or whether the 70% figure refers to merge rate or generation coverage.
#Code#Uber
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Featured · importance 78 · hook + knowledge + resonance
editor take
Uber claims agents handle 70% of code PRs, with 10x call growth and flat AI spend — per-session cost dropped 52%.
sharp
The numbers are what make this worth clicking: 10x call growth in six months, flat total AI spend, and per-session cost cut by 52%. If those figures hold up, Uber's done real engineering work on model selection and prompt compression — not just throwing more calls at the problem.
But the post doesn't spell out what "70% of PRs" actually means. Is that PRs merged into main, or just PRs where an agent touched the code at some point? The first is real productivity; the second is coverage theater. No model names, no details on how agents plug into the review pipeline. I'd discount this until the full technical post is available.
That said, the direction isn't surprising. Anthropic and OpenAI have both been pushing agentic coding products hard over the past year. If Uber's numbers are legit, they're among the more aggressive enterprise adopters with public data.
HKR breakdown
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