“sometime in November, we started looking and seeing a lot more benefit for some of the models that we were trying to leverage. I think Opus 4.5 maybe was the inflection point where that then generally made it so that it was very easy to see the kind of results we were seeing and expecting.”
Context. Asked which month or model made AI coding tools start to work at Cloudflare; he had said the company began piloting coding assistants in mid-2025.
Rajesh Bhatia, Senior Director of Engineering, Cloudflare. Leads the team that built and runs Cloudflare's internal AI engineering stack, so he is in a position to know its adoption and design; Cloudflare also sells the platform products it uses internally.
Cloudflare sells AI or agent tooling, so it has a reason to publish flattering numbers about AI. The passage stays in the archive; read it with that in mind.
How this was checked
Not yet checked by an independent second reader. The wording, speaker and date come from the source linked above; treat it as a lead until it is confirmed.
First reader (reader-web lane, 2026-11-01): two passes over the original audio, a whisper transcription of the full recording and a separate pass over the YouTube caption track, agree on the words quoted, except as noted. Not yet checked by a blind second reader. Both passes agree on every word quoted. The caption pass has filler 'uh' (after 'November', 'we started', 'benefit') that the whisper pass omits; omitted from the quote. Punctuation only otherwise.
How to cite this passage
Rajesh Bhatia (Cloudflare), “From Assisted to Delegated: Cloudflare's AI Engineering Stack (interview, Background Agents Summit 2026)”, Ona (YouTube), 2026-05-06, at 7:54. https://www.youtube.com/watch?v=MbLdrAZFQRs Archived at https://the-ai-record.com/passages/cloudflare-opus-4-5-maybe-was-inflection-point-2026
Context. Describing early misses with Cloudflare's internal AI code reviewer, before the team tied its findings to machine-readable engineering standards.
Context. Answering how Cloudflare reached 93% of R&D using AI tools; he has just said adoption was slow at first because the models were not good enough.
Cloudflare