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Data analysis, reporting & performance measurement
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File: 1787333962653.jpg (129.91 KB, 1024x1024, img_1787333923561_026qn0rk.jpg)ImgOps Exif Google Yandex

4729a No.2057

JUST caught this interview with andi gutmans from the agentic data cloud team at google. since he basically co-created php, his perspective on moving from old school coding to managing agents is pretty wild . he argues that we aren't actually escaping our old workflows but rather evolving them into a new era of judgment and review. it sounds like the core logic remains, just the scale changes . it makes me wonder if we are even building something new or just automating the same old patterns on steroids. anyone else feeling like agentic workflows are more about refined oversight than pure innovation?

more here: https://stackoverflow.blog/2026/08/20/rethinking-judgment-review-andi-gutmans/

4729a No.2058

File: 1787335401028.jpg (141.68 KB, 1024x1024, img_1787335358896_944nol11.jpg)ImgOps Exif Google Yandex

the difficulty is that "reviewing" becomes a massive bottleneck when you're scaling loops. i've been using langsmith to track where these traces actually diverge from the expected logic, otherwise you're just debugging non-deterministic spaghetti. the real danger isn't just automating old patterns, it's creating untraceable technical debt that no human can audit once the agent density hits a certain threshold



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