--- schema: 1 type: video title: >- ReviewDebt: a practical framework for scoring every pull request — Sachin Gupta, Ebay description: >- 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 canonical: 'https://liquidgold.cc/watch/TJPInBjhE4Q' markdown: 'https://liquidgold.cc/watch/TJPInBjhE4Q.md' llms: 'https://liquidgold.cc/watch/TJPInBjhE4Q/llms.txt' parent: 'https://liquidgold.cc/channel/aidotengineer.md' channel: aidotengineer updated: '2026-10-24T08:02:52.085Z' language: null children: [] videoId: TJPInBjhE4Q durationSeconds: 1500 publishedAt: '2026-07-12T12:15:38.000Z' searchChunks: - ordinal: 0 text: null startSeconds: 10 endSeconds: 100 watch: 'https://liquidgold.cc/watch/TJPInBjhE4Q?t=10' heldReason: rights - ordinal: 1 text: null startSeconds: 10 endSeconds: 100 watch: 'https://liquidgold.cc/watch/TJPInBjhE4Q?t=10' heldReason: rights - ordinal: 2 text: null startSeconds: 111 endSeconds: 222 watch: 'https://liquidgold.cc/watch/TJPInBjhE4Q?t=111' heldReason: rights - ordinal: 3 text: null startSeconds: 111 endSeconds: 222 watch: 'https://liquidgold.cc/watch/TJPInBjhE4Q?t=111' heldReason: rights - ordinal: 4 text: null startSeconds: 222 endSeconds: 234 watch: 'https://liquidgold.cc/watch/TJPInBjhE4Q?t=222' heldReason: rights - ordinal: 5 text: null startSeconds: 234 endSeconds: 355 watch: 'https://liquidgold.cc/watch/TJPInBjhE4Q?t=234' heldReason: rights - ordinal: 6 text: null startSeconds: 234 endSeconds: 355 watch: 'https://liquidgold.cc/watch/TJPInBjhE4Q?t=234' heldReason: rights - ordinal: 7 text: null startSeconds: 365 endSeconds: 483 watch: 'https://liquidgold.cc/watch/TJPInBjhE4Q?t=365' heldReason: rights - ordinal: 8 text: null startSeconds: 365 endSeconds: 483 watch: 'https://liquidgold.cc/watch/TJPInBjhE4Q?t=365' heldReason: rights - ordinal: 9 text: null startSeconds: 483 endSeconds: 495 watch: 'https://liquidgold.cc/watch/TJPInBjhE4Q?t=483' heldReason: rights - ordinal: 10 text: null startSeconds: 495 endSeconds: 585 watch: 'https://liquidgold.cc/watch/TJPInBjhE4Q?t=495' heldReason: rights - ordinal: 11 text: null startSeconds: 596 endSeconds: 718 watch: 'https://liquidgold.cc/watch/TJPInBjhE4Q?t=596' heldReason: rights - ordinal: 12 text: null startSeconds: 596 endSeconds: 718 watch: 'https://liquidgold.cc/watch/TJPInBjhE4Q?t=596' heldReason: rights - ordinal: 13 text: null startSeconds: 729 endSeconds: 815 watch: 'https://liquidgold.cc/watch/TJPInBjhE4Q?t=729' heldReason: rights - ordinal: 14 text: null startSeconds: 827 endSeconds: 960 watch: 'https://liquidgold.cc/watch/TJPInBjhE4Q?t=827' heldReason: rights - ordinal: 15 text: null startSeconds: 960 endSeconds: 972 watch: 'https://liquidgold.cc/watch/TJPInBjhE4Q?t=960' heldReason: rights - ordinal: 16 text: null startSeconds: 972 endSeconds: 1064 watch: 'https://liquidgold.cc/watch/TJPInBjhE4Q?t=972' heldReason: rights - ordinal: 17 text: null startSeconds: 1074 endSeconds: 1166 watch: 'https://liquidgold.cc/watch/TJPInBjhE4Q?t=1074' heldReason: rights - ordinal: 18 text: null startSeconds: 1166 endSeconds: 1178 watch: 'https://liquidgold.cc/watch/TJPInBjhE4Q?t=1166' heldReason: rights - ordinal: 19 text: null startSeconds: 1178 endSeconds: 1269 watch: 'https://liquidgold.cc/watch/TJPInBjhE4Q?t=1178' heldReason: rights - ordinal: 20 text: null startSeconds: 1178 endSeconds: 1269 watch: 'https://liquidgold.cc/watch/TJPInBjhE4Q?t=1178' heldReason: rights - ordinal: 21 text: null startSeconds: 1280 endSeconds: 1380 watch: 'https://liquidgold.cc/watch/TJPInBjhE4Q?t=1280' heldReason: rights - ordinal: 22 text: null startSeconds: 1390 endSeconds: 1500 watch: 'https://liquidgold.cc/watch/TJPInBjhE4Q?t=1390' heldReason: rights --- # ReviewDebt: a practical framework for scoring every pull request — Sachin Gupta, Ebay 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 Canonical: https://liquidgold.cc/watch/TJPInBjhE4Q · Channel: [AI Engineer](https://liquidgold.cc/channel/aidotengineer.md) > Search chunk text is held until public-source provenance is verified. ## Document chunks --- #### Chunk 0: Document excerpt (0:00 to 1:51) > Held: transcript rights do not permit this chunk's text.