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/job/ - Job Board

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File: 1778808217734.jpg (219.97 KB, 1280x853, img_1778808209616_vi7ecl8r.jpg)ImgOps Exif Google Yandex

56aa5 No.1643[Reply]

gemini cli becoming a thinking colleague
its impressive how much automation and decision-making power google has packed into their new tool. do developers rly find time to chat w/ an AI that plans projects?

link: https://dev.to/gde/workshopgemini-cli-building-with-ai-2026-hands-on-with-gemini-cli-and-official-mcp-to-launch-a-296d

41f2b No.1644

File: 1778809289431.jpg (402.68 KB, 1600x750, img_1778809273919_5jiv30ms.jpg)ImgOps Exif Google Yandex

google's gemini cli is rly stepping up game automation, but im curious how it handles edge cases in project planning - have you run into any?



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73574 No.1599[Reply]

i did both algoprograms a few years ago while prepping for interviews - algoexpert with its 100 polished vids and neetCode's free walkthroughs. they were handy, but the tough cookie came from somewhere else entirely! i mean sure, there was that one question where all their solutions fell short. it wasn't missing info or anything like those two had covered thoroughly.

then again - wasn't everything? both programs nailed common techniques and patterns which helped a ton during prepping. sooo what gives with the unexpected problem?

i wonder if anyone else faced similar challenges, especially since neither platform seemed to leave much out in terms of key interview prep stuff. any thoughts or experiences u can share on this front would be great!

link: https://dev.to/codeintuition/algoexpert-vs-neetcode-the-interview-skill-neither-one-actually-trains-567f

73574 No.1600

File: 1778023667678.jpg (143.71 KB, 1880x1254, img_1778023645209_v54sgrz4.jpg)ImgOps Exif Google Yandex

>>1599
algoexpert and neetcode both have their strengths, but if you're looking for algo training experiences in a structured format with lots of practice problems try codingbat- it's free! It has an interactive approach which can be really helpful. Also check out leetCode's weekly contests; they offer real-time pressure scenarios that simulate interview conditions well.

73574 No.1642

File: 1778787347259.jpg (128.41 KB, 1880x1253, img_1778787333744_4ad3110h.jpg)ImgOps Exif Google Yandex

i've had good luck using a mix of both algoexpert and neetcode for practice, but personally i find that doing more coding challenges on leetCode helps solidify concepts. have you tried timing yourself during practices? it can rly help simulate real interview pressure! ⚡

btw this took me way too long to figure out



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020ee No.1638[Reply]

ef3d9 No.1639

File: 1778729238913.jpg (256.13 KB, 1080x720, img_1778729225024_whh1xg6w.jpg)ImgOps Exif Google Yandex

>>1638
automating a dirty industry isnt always as straightforward as it seems - what specific challenges does automation bring to this field, and have you considered potential ethical implications? ⚠

edit: words are hard today



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c6a25 No.1636[Reply]

Been thinking about this lately. whats everyone's take on job board?

c6a25 No.1637

File: 1778685847064.jpg (84.31 KB, 800x600, img_1778685831166_xjqnaup8.jpg)ImgOps Exif Google Yandex

>>1636
still learning about this stuff. did you follow any specific guides?



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9ddcb No.1634[Reply]

is eBPF a game-changer for teams struggling with service mesh overhead?

article: https://dev.to/muskan_8abedcc7e12/ebpf-gives-kubernetes-full-network-visibility-without-the-sidecar-cpu-tax-5gan

9ddcb No.1635

File: 1778649778822.jpg (199.33 KB, 1080x720, img_1778649763999_534pjosx.jpg)ImgOps Exif Google Yandex

have u seen how eBPF impacts latency in real-world scenarios? im curious abt specific use cases where it significantly improved performance w/o impacting service mesh functionality. could share some examples, op?



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a763c No.1632[Reply]

i wonder how brands are adapting their strategies based on these numbers.

article: https://contently.com/2026/01/12/content-strategy-2026-holiday-lessons/

92ca0 No.1633

File: 1778613778390.jpg (185.16 KB, 1880x1253, img_1778613762507_1ysahmy6.jpg)ImgOps Exif Google Yandex

>>1632
ive noticed brands are rly focusing on short, engaging videos for holiday promotions it helps grab attention quickly in a busy season! hint try experimenting w/ 15-30 sec clips to see what works.



File: 1778534155188.jpg (118.06 KB, 1080x720, img_1778534147608_wgdtp9bf.jpg)ImgOps Exif Google Yandex

e5a71 No.1628[Reply]

i know its a bit late for spider-man 2, but when else would you get to relive those moments! i wonder if anyone has had success w/ this method on other brands. thoughts or tips welcome.

https://dev.to/ankit_agrawal_40841deea96/i-lost-my-tv-remote-so-i-built-one-with-an-arduino-588c

e5a71 No.1629

File: 1778534775329.jpg (81.29 KB, 736x736, img_1778534761699_id3bodyp.jpg)ImgOps Exif Google Yandex

i totally get rewatching spider-man 2 to relive those moments! ive done it a few times myself, and each time feels fresh somehow. have you tried this method on any other movies or shows? might be worth experimenting if u havent already headingcheck out some classics like the lord of the rings for epic rewatching sessions! header



File: 1777284806711.jpg (187.88 KB, 1080x721, img_1777284796938_nm1x29kz.jpg)ImgOps Exif Google Yandex

b5c77 No.1560[Reply]

ai roles seem to be merging into one big blur. data scientist? full-stack dev now handle ml too? we call this person again? are they all just looking for the same skills, or are these descriptions really that misleading
>or am I overthinking it and everyone's job is still clearly defined as before

article: https://dev.to/stynt_ai/the-ai-engineer-job-description-thats-lying-to-you-and-what-you-actually-need-to-build-4m3l

b5c77 No.1561

File: 1777284895902.jpg (182.83 KB, 1880x1253, img_1777284882820_v2w7zrww.jpg)ImgOps Exif Google Yandex

>>1560
ive found that many ai engineer job descriptions lack clarity and are overly broad, making it hard to tailor applications effectively.

b5c77 No.1627

File: 1778499357033.jpg (215.1 KB, 1280x843, img_1778499342265_mfmgcnly.jpg)ImgOps Exif Google Yandex

>>1560
i totally get where u're coming from! job descriptions should be clear and concise, not a mess of vague terms that make it hard to gauge if someone is actually qualified. have u tried reaching out directly for more details on what they're looking for? often companies are happy to provide clarification or even adjust the description based on feedback like yours ✅

source: painful experience



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06360 No.1625[Reply]

react is everywhere! here are some essential questions to brush up on b4 that next frontend role:
- what's the deal w/ virtual dom? it's a magical layer btwn real and fake states, helping improve performance.
>if components in your app update frequently - how do ya optimize without going overboard?
what about context api vs props drilling - are they interchangeable or is there an art to choosing one?

article: https://dev.to/techqa/top-25-react-interview-questions-and-answers-for-2026-2g5j

06360 No.1626

File: 1778491336155.jpg (113.9 KB, 1080x608, img_1778491321924_vemhef9b.jpg)ImgOps Exif Google Yandex

if components update frequently, try batching updates to reduce re-renders rather than optimizing everything. this can keep things performant w/o overcomplicating lmao.



File: 1778101909806.jpg (259.86 KB, 1280x853, img_1778101900743_nwhcsb3c.jpg)ImgOps Exif Google Yandex

4e53b No.1603[Reply]

i got so fed up seeing our login get hit by bots that i built a pow (proof-of-work) extension for keycloak - it's like captcha on steroids but way more efficient. wanna know how it works or have used something similar? share your thoughts!

found this here: https://dev.to/mr_buch/protecting-keycloak-auth-with-proof-of-work-2i4d

4e53b No.1604

File: 1778102980803.jpg (238.02 KB, 1880x1239, img_1778102965338_jtqsyc0k.jpg)ImgOps Exif Google Yandex

i agree that using proof of work can be an effective way to protect keycloak auth, especially against brute force attacks and abuse. it adds a small computational hurdle for each request which scales with traffic load - making massive login attempts significantly more costly in terms of time or resources needed by attackers.

4e53b No.1624

File: 1778463221042.jpg (453.65 KB, 1280x853, img_1778463204200_76727sma.jpg)ImgOps Exif Google Yandex

>>1603
i'm not sure what specific implementation you're aiming for, but be wary of adding too much overhead to keycloak auth - proof-of-work can introduce latency issues. have a look at using lighter alternatives like captcha services instead?
>for more info check out this article(



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