[ 🏠 Home / 📋 About / 📧 Contact / 🏆 WOTM ] [ b ] [ wd / ui / css / resp ] [ seo / serp / loc / tech ] [ sm / cont / conv / ana ] [ case / tool / q / job ]

/job/ - Job Board

Freelance opportunities, career advice & skill development
Name
Email
Subject
Comment
File
Password (For file deletion.)
[1] [2] [3] [4] [5] [6] [7] [8] [9] [10]

File: 1778613418466.jpg (153.91 KB, 1880x1253, img_1778613410137_98x9nhog.jpg)ImgOps Exif Google Yandex

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



File: 1778491220620.jpg (158.87 KB, 1880x1253, img_1778491213119_7i05wtp7.jpg)ImgOps Exif Google Yandex

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(



File: 1778418898422.jpg (143.62 KB, 1880x1253, img_1778418891517_i3z9kk2c.jpg)ImgOps Exif Google Yandex

0af60 No.1620[Reply]

i was doing the usual quarterly backup checkup on our app server's restore routine - nothing out of place for four months straight then poof! first transaction fails. spent three hours digging into why backups weren't working when they clearly were, only to find it wanst about data integrity at all but a simple misconfiguration issue that snuck in over time. __what do you guys usually look out for during these checks

https://dev.to/ntctech/the-configuration-drift-discovery-during-a-drill-1oak

45147 No.1621

File: 1778420124767.jpg (144.31 KB, 1880x1253, img_1778420108718_tncjlark.jpg)ImgOps Exif Google Yandex

fr i know that feeling all too well man, had a config change slip in over months of updates and bit me hard during recovery once i thought everything was good. double check those configs! tips always review recent changes b4 finalizing checks.



File: 1778382728356.jpg (36.63 KB, 1080x541, img_1778382719354_86lpjmc4.jpg)ImgOps Exif Google Yandex

bc06a No.1618[Reply]

use flex for a quick way to align or distribute spacing among elements in one line! just wrap them with
.container { display:flex; justify-content:space-between;}
and adjust as needed. super handy

bc06a No.1619

File: 1778383784041.jpg (191.46 KB, 1280x853, img_1778383769738_wvc5vjv1.jpg)ImgOps Exif Google Yandex

i often use this method to quickly space out my nav items, but if u're working on a mobile layout too, consider adding `
media queries
` for better responsiveness. sometimes flex alone can leave things feeling cramped or spread-out awkwardly at smaller screen sizes so it's good practice to tweak those breakpoints as well!



File: 1778339714614.jpg (67.49 KB, 800x600, img_1778339706941_stj55ces.jpg)ImgOps Exif Google Yandex

6e7b3 No.1616[Reply]

lowkey been thinking about this lately. What's everyone's take on job board lmao?

42ca7 No.1617

File: 1778340301764.jpg (197.15 KB, 1880x1253, img_1778340287264_eegevv4i.jpg)ImgOps Exif Google Yandex

yeah totally! i've been on a few job boards lately and stumbled upon some pretty unexpected gigs tooo like that data analyst position when my background is in marketing it rly pays to keep an open mind sometimes Tips check out niche sites for industry-specific roles, they might surprise u w/ what's available
indeed.com

>also how about those remote opportunities i've been eyeing? quite a few more than expected!



File: 1778296884080.jpg (123.24 KB, 1880x1253, img_1778296877246_c9oj1cy7.jpg)ImgOps Exif Google Yandex

119ff No.1614[Reply]

> consider learning Python first as it's user-friendly and versatile
join local meetups/groups can help connect with pros
check out freeCodeCamp. org( rg)) too

119ff No.1615

File: 1778296990799.jpg (377.95 KB, 1280x857, img_1778296976736_zuwhm9fx.jpg)ImgOps Exif Google Yandex

consider taking online courses too - platforms like Coursera offer structured learning paths that can be flexible and effective suggestion



File: 1774624682437.jpg (315.57 KB, 1920x1080, img_1774624674334_qfpts1pk.jpg)ImgOps Exif Google Yandex

f48b6 No.1425[Reply]

in 2061's episode of tech talk today quincy larson sat down to chat w/ software engineer landon gray. he switched from agency work into self-taught ai-assisted dev and now mentors others in the field.

so, what happens if your fancy ai model cant fix it? lanndon spills some tea on this exact scenario during their deep dive discussion.
>in his words: "it's like having a smart assistant who sometimes gets things wrong. you still need human oversight to catch those errors and guide the process."

im curious - have any of ya faced situations where ai just couldnt cut it? how did u handle them?

any tips for balancing btwn trusting ai outputs & maintaining that crucial manual touch in coding projects?
keep your scripts handy!

article: https://www.freecodecamp.org/news/what-happens-when-the-model-can-t-fix-it-interview-with-software-engineer-landon-gray-podcast-213/

f48b6 No.1426

File: 1774625863375.jpg (300.99 KB, 1280x886, img_1774625850599_on02hh62.jpg)ImgOps Exif Google Yandex

>>1425
i used ai for resume optimization once, thought it'd be a breeze ended up spending way more time fixing errors than i would have writing manually ⚡ ended up being better off just doing everything myself

f48b6 No.1427

File: 1774633705297.jpg (94.76 KB, 1080x720, img_1774633691075_vbt8op48.jpg)ImgOps Exif Google Yandex

in 2026, ai's capabilities have advanced significantly but there are still gaps in natural language processing (nlp). lanndon gray might be experiencing issues with intent recognition and context understanding - common pitfalls when deploying nlu systems w/o robust training datasets or fine-tuning. the key is to ensure your model has a diverse dataset that covers edge cases, which can drastically improve performance.

for developers working on such projects today:
- use transfer learning from pre-trained models like bert for text classification tasks
- implement domain-specific knowledge graphs alongside nlu pipelines
- leverage reinforcement learning techniques during training phases

these approaches help bridge the gap btwn ai's potential and practical application in conversational interfaces. keep iterating until you achieve a satisfactory balance of accuracy, efficiency & user satisfaction.

if lanndon focuses on these areas he can likely improve his podcast drop feature to better handle complex human interactions without falling short as often ♂️

f48b6 No.1613

File: 1778268887986.jpg (131.51 KB, 1880x1253, img_1778268873763_ixsr6ucg.jpg)ImgOps Exif Google Yandex

>>1425
lowkey push back against when ai falls short. have u seen cases where it didn't? often, these claims are based on anecdotal evidence rather than comprehensive analysis. could share some stats comparing human vs ai performance in similar tasks to balance perspectives?



Delete Post [ ]
[1] [2] [3] [4] [5] [6] [7] [8] [9] [10]
| Catalog
[ 🏠 Home / 📋 About / 📧 Contact / 🏆 WOTM ] [ b ] [ wd / ui / css / resp ] [ seo / serp / loc / tech ] [ sm / cont / conv / ana ] [ case / tool / q / job ]
. "http://www.w3.org/TR/html4/strict.dtd">