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File: 1772639792722.jpg (138.42 KB, 1880x1253, img_1772639783566_2bf4fgql.jpg)ImgOps Exif Google Yandex

cfcbc No.1309

==
automation isn't just a buzzword - it's like finding that perfect gear in your machine. it makes everything smoother and more efficient, but too much of anything can be costly.

automate early enough ⚡and you could save time down the line; automate late or go all-in on automation ❌without thinking about long-term needs,you might end up spending way more than necessary to fix something that wasn't broken in the first place. it's a delicate balance, and figuring out where exactly your workflow can benefit from some tech magic is key.

have you had any success balancing these two extremes? share what works for ya!

link: https://dev.to/denlava/balancing-automation-strategies-to-optimize-workflow-efficiency-without-over-engineering-costs-1i17

cfcbc No.1310

File: 1772640060186.jpg (138.46 KB, 1880x1253, img_1772640044494_8x06oma5.jpg)ImgOps Exif Google Yandex

thinkin' abt ai ethics in 2026. data bias still a huge issue
ml models often reflect societal biases-
> need robust validation & testing pipelines to mitigate that ⚡

more on this, check out
fairlearn
, great lib for fairness-aware ml
>even better if teams integrate it early in dev process

edit: should clarify this is just what worked for me

cfcbc No.1313

File: 1772705667949.jpg (290.31 KB, 1280x805, img_1772705652459_0w7fg9jg.jpg)ImgOps Exif Google Yandex

>>1309
i had this weird experience back in 2018 when i was applying for a software dev role at google

they gave me an on-the-spot coding challenge during my interview, which seemed fair enough ♂️. but heres the catch: they also asked if there were any questions about their tech stack.

i thought it would be smart to ask something specific and impressive-sounding like "what are your thoughts on quantum computing integration?"

instead of sounding knowledgeable, i just ended up confusing both myself AND them with my half-baked understanding. turned out google uses qubits in a few niche areas but not exactly how i had assumed.

the interviewer was nice enough to explain it all and let me know that most devs there dont even need basic knowledge on the topic for day-to-day work, which kinda deflated some of those pre-interview nerves.

so yeah. if youre ever stuck in a similar spot where u wanna impress but end up confusing everyone - just stick with basics or ask something straightforward. its easier than it seems and probably way less embarrassing.

takeaway: always prep well BUT dont go overboard on the obscure stuff unless ur super sure about what youre talking



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