“I got tired of watching old feature flags pile up… I built an agent for cleaning up stale feature flags. It runs in my local workflow and it doesn't merge any code. The models, the easy part. The judgment in front of it is the whole game. Every flag gets scored the way an experienced reviewer would analyze it. How many modules does it touch? Is it multi-variant? Does it share a component? Then it checks the experiment data. Is the rollout frozen? Is there a sample ratio mismatch? Is there a variant already rolled out to 100 percent?”
Context. The speaker is a Reddit Android engineer. In the talk he describes this agent as running in his local workflow and on his laptop, and says some of his other practices are from his personal side projects.
Andrew Orobator, Senior Software Engineer. Describes an agent he built and runs himself and the practices he uses with coding agents; a practitioner speaking for himself, not for Reddit, and he says some practices are from his personal side projects.
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, 2026-11-01).
Whisper SRT 00:11:18-00:11:51 matches. The '…' covers the omitted 'So'. Only whisper exists for this video.
How to cite this passage
Andrew Orobator (Reddit), “Scale the Judgment, Not the Model”, AI Engineer (YouTube), 2026-06-30, at 11:18. https://www.youtube.com/watch?v=6MudaeKdBSk Archived at https://the-ai-record.com/passages/reddit-built-agent-clean-stale-feature-flags-scored-reviewer-2026
Context. The speaker is a Reddit Android engineer. In the talk he describes this agent as running in his local workflow and on his laptop, and says some of his other practices are from his personal side projects. The $26,000 is his own estimate of manual cost, and the PR count is a small sample.
Reddit