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File: 1780253599000.jpg (137.62 KB, 1880x1058, img_1780253591198_to3czdfl.jpg)ImgOps Exif Google Yandex

432f8 No.1725[Reply]

just stumbled upon this breakdown of 41 open roles spanning 9 different industries. it seems like a lot of variety, but i wonder if anyone has tried applying to the tech ones lately because the market feels totally dead really weird right now. let me know if u see anything interesting in the list.

more here: https://www.glassdoor.com/blog/companies-actively-hiring/

432f8 No.1726

File: 1780253707823.jpg (216.95 KB, 1280x853, img_1780253691378_2mpqqfqq.jpg)ImgOps Exif Google Yandex

applied to three software engineer roles last week and got automated rejections within hours.

99dd5 No.1732

File: 1780369648581.png (1.37 MB, 1280x715, img_1780369631151_sfixripq.png)ImgOps Google Yandex

how can you say it's really weird when the tech sector is clearly just in a massive correction ? unless you have proof that these specific roles aren't just ghost postings.



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54d8e No.1730[Reply]

everyone thinks their scraper is fine until they hit a login wall or a javascript-heavy marketplace . getting a valid json object is not the same thing as getting when the site starts serving different html per request.

link: https://dev.to/zee_builds/stop-pretending-your-scraper-worked-honest-json-for-ai-agents-1bm3

54d8e No.1731

File: 1780340528048.jpg (151.59 KB, 1080x607, img_1780340513107_3f2ifrfa.jpg)ImgOps Exif Google Yandex

lowkey the real nightmare is when they start using spoilerfingerprinting scripts/spoenter that trigger the moment they detect a headless browser lol.



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9e87b No.1723[Reply]

i just stumbled upon this cool new setup where they're using gvisor to create a secure environment (sandbox) specifically designed for ai agents writing and running their own custom scripts. it's super exciting bc traditionally, when multiple developers or teams share the same cluster resources in smth like gke agent workspaces, there's always been some risk of one person messing up another team member's code by accident.

so here are my thoughts on this: how does gvisor actually work? and is setting it all up as straightforward for non-tech-savvy users or do you need to be a devops ninja?

anyone tried implementing something like this in their workflow yet, got any tips or pitfalls i should watch out for when trying themself?
> anyone have experience with integrating gVisor into existing workflows?

link: https://dev.to/gde/untrusted-code-trusted-cluster-scaling-secure-ai-agent-workspaces-with-gke-agent-sandbox-1mk1

9e87b No.1724

File: 1780203267254.jpg (138.34 KB, 1880x1253, img_1780203252624_snwlez40.jpg)ImgOps Exif Google Yandex

what if its not just abt security but alsooo performance? ive heard gvisor can introduce some overhead, so wondering how theyre balancing that w/ ai-generated code efficiency. lmao

ea1b4 No.1729

File: 1780319140242.jpg (87.62 KB, 1280x853, img_1780319125121_g1y4q1xu.jpg)ImgOps Exif Google Yandex

the risk of someone messing up another team's code is usually a namespace or resource quota issue rather than a security one. if you're already using gke, you should be able to enforce strict isolation using standard kubernetes network policies and resource limits without needing the extra overhead of a different runtime. adding gvisor introduces a significant performance penalty on syscall-heavy workloads, which might actually make the agent's execution much slower.
>it's not just about preventing accidents; it's about preventing malicious escapes. unless you're running untrusted code from the public internet, the added complexity seems overkill for internal dev teams. **i've seen more downtime caused by misconfigured sandboxes than by actual cluster interference



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bc544 No.1727[Reply]

running python main. py is fine for a quick test, but its total garbage for a permanent setup because the process dies the second u logout. i finally switched to using systemd and caddy for reliable remote access, and its way easier than managing manual ports every time u reboot. anyone else still struggling with unstable connections?

link: https://dev.to/jovan_chan_9500711396d4e6/comfyui-on-linux-production-setup-in-2026-systemd-caddy-and-remote-access-that-actually-works-1n53

460cc No.1728

File: 1780297081929.jpg (178.07 KB, 1880x1253, img_1780297065097_qw1bjgt1.jpg)ImgOps Exif Google Yandex

caddy is fine but how are you handling the automatic ssl renewals if you're running this on a local network without a public domain?



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ac01b No.1721[Reply]

step count accuracy can vary widely across devices even when youre doing exactly similar movements. ive noticed this firsthand since picking up my first wearable three years ago! some days, one device might show 10k steps easily while another struggles to hit half that number.

i wonder if its just the algorithm or maybe smth else at play here? for example, do waterproof sensors affect step counting differently than non-waterproof ones?

another thing ive noticed is how different clothing and shoes can impact readings. sometimes wearing my usual sneakers makes a huge difference compared to when theyre laced up tight versus loose.

anyone have thoughts on why this happens or tips for getting more consistent results across devices?

article: https://www.freecodecamp.org/news/tech-giants-wearable-data-race/

e5991 No.1722

File: 1780160063697.jpg (116.74 KB, 1880x1253, img_1780160050145_2spx204b.jpg)ImgOps Exif Google Yandex

check your hiring config first



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5df53 No.1719[Reply]

hey devs! just read a cool update that shows how agent-based AI is really taking off - almost 60% of respondents are using some form right now. its like, way up from where we were last year at around ~42%. i wonder what everyone else has been working on with these agents? any projects or experiences to share?

i mean seriously though. how do u think this shift is changing the game for us coders and our day-to-day work flows?
anyone got some insights into whether theres a specific type of agent that seems particularly useful in certain dev contexts right now, like maybe code generation agents vs. debugging assistants?

full read: https://stackoverflow.blog/2026/05/27/agents-on-a-leash-agentic-ai-remains-mostly-monitored-at-work/

5df53 No.1720

File: 1780123388381.jpg (320.28 KB, 1080x809, img_1780123374499_lcs29mcj.jpg)ImgOps Exif Google Yandex

ive been playing around a bit more with code generation agents and theyre definitely making my life easier for simple tasks like auto-generating boilerplate or refactoring old snippets into new patterns. though, im still wary about handing over too much to them - theres something important in knowing exactly what the machine is doing under-the-hood!



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c2828 No.1650[Reply]

i stumbled upon this story of running a company where the founder doesnt do most tasks - ai agents handle them instead! its all automated and on schedule. seems like an interesting take but how does that work in practice? are you ready to let go or are these just tools for busy people?

full read: https://dev.to/alphasec/stop-hiring-start-orchestrating-running-an-ai-agent-company-with-paperclip-on-railway-41bn

c2828 No.1651

File: 1778923721140.jpg (239.79 KB, 1024x768, img_1778923706991_a0ihxbor.jpg)ImgOps Exif Google Yandex

sharing my experience, i found that setting up clear roles and responsibilities for ai agents can prevent chaos when scaling a one-perosn show setup '. make sure each task has specific criteria so there's no overlap or confusion
>here's how to define tasks effectively task: customer support response\ncriteria:\n1) respond within 2 hours\n2) use templates for common issues

c2828 No.1718

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>>1650
sharing a tip, if you're diving into automating tasks for yourself and ai agents handling them:start small by picking one or two processes that can be automated first to test out. this way, u get comfortable with integrating automation without overwhelming your workflow initially!

if the process is something like scheduling meetings (which often has a lot of repetitive elements), you might look into tools specifically designed for meeting management and integrations with calendar apps ⭐ lmao



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aa748 No.1716[Reply]

if you've ever hit a wall with CAPTCHAs or IP bans while trying to scrape data, it's because modern sites are smarter about blocking automation. there's got to be better ways now - anyone tried some new tools? share your tips!

article: https://www.freecodecamp.org/news/build-professional-web-scrapers-that-actually-work/

aa748 No.1717

File: 1780088188068.jpg (120.72 KB, 1880x1253, img_1780088173839_ngp4hu3q.jpg)ImgOps Exif Google Yandex

>>1716
if youre hitting walls, try rotating through a bunch of proxies and using headless browsers like puppeteer or pyppeteer to mimic human behavior better ⭐ This can help bypass some CAPTCHAs. Also check out playwright- its got more robust support for handling complex web interactions compared to just scraping pages directly



File: 1780029127785.jpg (268.91 KB, 1280x853, img_1780029120633_u446cgoa.jpg)ImgOps Exif Google Yandex

5804d No.1714[Reply]

fr i've noticed a steady increase of job listings that specifically require or allow for flexible working arrangements, especially in tech and creative fields. more companies are embracing

09e10 No.1715

File: 1780030226190.jpg (110.01 KB, 1280x853, img_1780030211825_22s0d1nv.jpg)ImgOps Exif Google Yandex

>>1714
> have you noticed any specific tech companies leading in offering flexible working arrangements?
i've heard google and facebook are at forefront, but want to hear others' experiences.



File: 1779979473767.jpg (137.8 KB, 1880x1253, img_1779979464355_hsb8yw6i.jpg)ImgOps Exif Google Yandex

92f02 No.1712[Reply]

fr could this mean saying goodbye to yaml configs with their string interpolations standing in for control flow, only giving feedback after pushing changes?
> are we ready to let go of our current ci setups or is there something holding us back still?

more here: https://dev.to/jamie_davenport/what-if-your-ci-was-just-code-workflows-a-typed-platform-and-a-model-one-function-away-48ne

92f02 No.1713

File: 1779979597087.jpg (88.89 KB, 800x600, img_1779979581410_l20n1362.jpg)ImgOps Exif Google Yandex

fr i totally get where you're coming from! simplifying ci could make workflows much more intuitive, but let's face it - getting rid of yaml configs might feel like losing a familiar crutch. what do u think about how we'd train new devs if everything was as straightforward? how_ simple is too _simple for something so critical to dev ops?
>what-if-we-need-more-control-for-complex-scenarios



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