https://video.ut0pia.org/videos/watch/00fdda70-d8f5-4d93-a05a-8f4de3ccc5b5 Coding agents ship PRs faster than humans can trust them. The gap is filling up with a debt nobody is measuring — and it's about to swallow your engineering velocity. Every team in 2026 measures coding agents the same way: PR count, lines of code, cycle time, developer NPS. None of those see the real cost — bloated diffs, weak tests, ambiguous rationale, ownership sprawl, and human reviewers spending more time verifying AI code than they used to spend writing their own. This talk introduces ReviewDebt: a practical framework for scoring every pull request on the hidden review burden it creates. The scoring is deterministic — diff size, test-coverage delta, ownership spread, generated-code smells, evidence and rationale gaps — so the number is defensible in a real engineering review. We'll walk three real PRs side-by-side (clean human PR, high-debt AI PR, refactored AI PR), watch the scoring play out signal by signal, and look at a 90-day dashboard from a production backend org where review debt climbs in lockstep with AI-PR share. Speakers: Sachin Gupta: Sachin Gupta is a Staff Software Engineer with 15+ years building backend platforms at internet scale, currently focused on the runtime trust boundaries that LLM coding agents blur and the creator of HeapLens, a Java heap analyzer extension used in 50+ countries. LinkedIn: https://www.linkedin.com/in/guptasachin1/ GitHub: https://github.com/sachinkg12 Sun, 12 Jul 2026 17:13:00 GMT https://validator.w3.org/feed/docs/rss2.html PeerTube - https://video.ut0pia.org https://video.ut0pia.org/lazy-static/avatars/0287a09a-aae7-4840-9843-b416426e7046.webp https://video.ut0pia.org/videos/watch/00fdda70-d8f5-4d93-a05a-8f4de3ccc5b5 All rights reserved, unless otherwise specified in the terms specified at https://video.ut0pia.org/about and potential licenses granted by each content's rightholder.