“We can now take bigger swings that say, oh, reviews are a bottleneck, let's try to make high quality … reviews. Is toil work like cleaning up feature flags or cleaning up things or doing small changes of bottleneck? Let's give you that ability to get you out of that zone. And then measure directly.”
Context. Ramakrishnan is answering a host question on how Uber picks use cases; just before, he says Uber goes strictly by developer-satisfaction data when developers cannot choose.
Nikhil Ramakrishnan, AI Foundations & Developer Experience. Works on the developer platform and builds the tools he describes (Minion, DevPod), so he knows how they are used; an insider speaking at a vendor-run summit about his employer's own work, with no figures beyond a stated target.
How this was checked
Checked against the source by a first reader, then confirmed independently by a second reader who fetched the source without seeing the first reader's notes (Independent review agent (Claude Sonnet), blind second pass from passage text and citation only, no repository access, 2026-11-07).
Exact match in whisper.srt around 7:45 once the ellipsis is applied to the gap after 'high quality'. Captions.md reads 'what bigger swings, I'd say' at 7:46, a plain mishearing. I confirmed on whisper.
How to cite this passage
Nikhil Ramakrishnan (Uber), “Uber Minion: Agent-Ready Dev Platform Behind 11% of Merged PRs”, Ona (YouTube), Background Agents Summit, 2026-05-07, at 07:45. https://www.youtube.com/watch?v=o7G5EHDqQ1g Archived at https://the-ai-record.com/passages/uber-reviews-bottleneck-agentic-reviews-toil-flags-measure-directly-2026
Context. Ramakrishnan is answering a host question on whether Uber's builder-oriented engineering culture drives how fast it adopts AI. The sentence before it, on mandating AI use, is left out because the two passes hear it differently.
Context. Ramakrishnan is describing Minion, Uber's background-agent platform, and the engineers who get toil tickets, such as a vulnerability fix with a long validation loop, in the middle of product work.
Context. Ramakrishnan is answering a question about Shepherd, which the host describes as Uber's platform for large-scale code changes such as migrations and upgrades. The recording is captioned 'Shepard' on the session page; both passes heard 'Shepherd'.
Context. Ramakrishnan is describing how Uber's platform team gets engineers to keep using a tool, after saying that adoption comes from letting people fail in a safe way.
Uber