Opens a new chat with a prompt that points the assistant to this archive. What it writes is its own, not the archive's: check any quotation on its passage page before you rely on it. Or add the archive to your assistant as a connector: https://the-ai-record.com/mcp (how).
Listed on the Background Agents Summit session page as working on AI Foundations and Developer Experience at Uber. The host introduces him as a software engineer on Uber's developer platform team who joined as an intern in 2016 and who built early primitives behind Minion, Uber's background-agent platform.
Why their word counts: 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.
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 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 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.
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.