samuelwong.bsky.social
Founder @datafying Turning data into actions, not dashboards 10+ years in customer & product analytics Industry mentor for 20+ Building with AI 💬 for collab
👤 Joined on 21 January 2024
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@samuelwong.bsky.socialA lot of good stuff in here, and it looks like my prediction of aviation-style code and incident review becoming commonplace isn't far off
Show PostReverts avoided is the better metric. Small teams rarely have enough reverts for it to be a signal, though. There I'd track how often human review finds anything at all, and cut it where it never does.
Show Postreverts avoided is kinda sneaky to count tho, you're measuring stuff that didn't happen. still way better than lines read, nobody ever caught a real bug scrolling a giant diff at 4pm on a friday
Show Post"Quality measured by reverts avoided" is a great metric. Line by line review stops scaling once agents write most of the diff. Reviewing the plan as a picture before any code runs helped me: www.intellinode.ai/articles/bui...
Show PostGood addition. I would put knowing when the spec itself is wrong up there. The verifier can pass every check and the product can still be wrong, and catching that takes taste no test suite has.
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