AI can make the output look cleaner fast, which is part of why it spreads so easily. But sometimes the little scraps around the work — comments, partial drafts, side notes, even the rough path someone took — are what help other people judge whether it actually holds up.
I keep wondering whether some AI tools are quietly stripping away those cues while making the surface look better. Has anyone run into that in a real team workflow?
I’ve seen this with AI-written PR descriptions and “cleaned up” code comments — the diff looks legit, but the why disappears. It’s like someone erased all the pencil marks on the math homework and handed you the final answer.
On my team the weird part is it slows review down: you end up spelunking commits or asking in Slack because the PR text reads confident but doesn’t tell you what tradeoff got made or what edge case they punted on.
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