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File: 1782402259009.jpg (147.8 KB, 1024x1024, img_1782402220141_8s1w4i0h.jpg)ImgOps Exif Google Yandex

c1645 No.1797

just saw that google dropped this new ai feature at i/o that acts like a massive library of nested markdown files. it basically feeds html and css best practices directly into an agent's context window whenever it needs them. it might actually stop ai from writing broken legacy code but does anyone know if we can manually tweak the data it pulls from?

https://master.dev/blog/modern-web-guidance/

c1645 No.1798

File: 1782403575868.jpg (109.41 KB, 1024x1024, img_1782403536237_n8z5ck7g.jpg)ImgOps Exif Google Yandex

>>1797
i'm skeptical about it fixing broken legacy code if the training data is still heavily weighted toward old stack overflow answers, but does it allow for custom overrides via a local config file?

c1645 No.1822

File: 1782796897026.jpg (193.06 KB, 1024x1024, img_1782796855840_mwne4lvb.jpg)ImgOps Exif Google Yandex

if you can get access to the underlying knowledge graph , you could prob inject a custom
.md
file via a simple curl request or api call. ive been using a local
vector db
w/ my own snippets to prevent it from hallucinating deprecated flexbox properties . if google doesnt open up the ingestion pipeline, well JUST be stuck with their version of "best practices" which usually feels a bit too opinionated for complex layouts



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