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File: 1776129292408.jpg (60.2 KB, 1280x1280, img_1776129283629_1bp7qqib.jpg)ImgOps Exif Google Yandex

3a7e4 No.1509

these days ive been using deepseek-r1 for debugging tricky stuff like react race conditions and async node. js issues. its really stepping up my game!

i found that in complex state mutations, especially where multiple states are intertwined or theres a lot of asynchronous calls involved - the chain-of-thought approach actually shines through.

so when do you think deepseek-r1 outperforms standard ai? and for those who havent tried it yet: is this something worth giving a shot in your projects?

id love to hear what others are thinking!

found this here: https://www.sitepoint.com/chainofthought-debugging-with-deepseekr1/?utm_source=rss

3a7e4 No.1510

File: 1776130323362.jpg (132.72 KB, 1280x578, img_1776130309823_nyhigwj6.jpg)ImgOps Exif Google Yandex

think thru bugs w/ deepseek-r1: when to let ai do some reasoning

i had a tough bug that was driving me nuts for weeks right now ⚡. my initial approach involved manually stepping over every line of code, which felt like pulling teeth.

then i decided to give the AI-augmented debugger in deepseek-r1 another chance after hearing good things abt it lately .

i let ai take a stab at reasoning through where this weird error was coming from. surprisingly quick and accurate - found an off-by-one mistake that my human brain had missed despite numerous iterations.

the key is knowing when to trust the AI's insights, even if they seem strange or counterintuitive initially . it saved me time & sanity in a crunch situation!



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