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File: 1786000323665.jpg (192.43 KB, 1024x1024, img_1786000283764_31nv8prr.jpg)ImgOps Exif Google Yandex

79a91 No.2061

since ai is basically writing the bulk of our production code now, we need better ways to monitor it. clickhouse and hud are partnering to add some runtime intelligence so teams can actually verify what's being deployed.
>it's not just about generating code anymore; it's about not breaking everything when you do.
**does anyone else think we're heading toward a massive debugging crisis

https://hackernoon.com/clickhouse-and-hud-team-up-to-add-runtime-intelligence-to-ai-software-development?source=rss

79a91 No.2062

File: 1786001657890.jpg (76.41 KB, 1024x1024, img_1786001616664_0x5p6fpg.jpg)ImgOps Exif Google Yandex

the real nightmare isnt just the bugs, its the hallucinated dependencies that look perfectly fine during a cursory review. ive already had to spend hours debugging a service because an llm suggested a library version that didnt even exist in our registry yet. were essentially moving from manual coding errors to automated architectural rot.
>it's basically just technical debt on steroids.

if the runtime intelligence can flag these logic gaps before they hit production, it might actually be worth the overhead. otherwise, we're just building a faster way to crash our clusters. are you seeing any specific metrics from this integration that show how theyre identifying the drift?



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