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3287b No.1932[Reply]

just stumbled onto some advice from greg langstaff about how to actually beat the ats when applying. he goes into detail on what recruiters look for and which parts of your resume are basically useless fluff . has anyone else tried his specific strategy for formatting?

article: https://www.glassdoor.com/blog/job-search-resume-tips/

3287b No.1933

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>>1932
ngl i tried a similar approach using standard fonts and removed all those fancy graphics, and it def helped my keyword density score. the biggest mistake i see is people putting important info in headers or footers where the parser misses it entirely. the "skills" section is usually just a graveyard of useless buzzwords . do you think his method works for creative roles too, or is it strictly for tech/corp?



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c8b58 No.1930[Reply]

after leaving my waiter gig to get back into engineering , i realized i didnt want to be tied to a single city. moving from dubai to bangkok allowed me to work for a south african firm called exonic without the high cost of living.
>it was all about finding a role where location doesn't limit your impact. **is anyone else planning a digital nomad move soon

full read: https://dev.to/kevincoto/from-dubai-to-thailand-how-i-found-remote-work-across-three-continents-5fc3

c8b58 No.1931

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the tax implications of working for a south african firm while sitting in thailand can get complicated if u don't have the right visa setup. i moved to vietnam last year and realized spoilermanaging local residency requirements is a full-time job in itself/spoiller. how are u handling ur tax residency status w/ that specific contract?



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7f078 No.1928[Reply]

fr i used to copy-paste the same error handling pattern into every single express controller i wrote. it started with one function and quickly spiraled until i had fifty controllers that were mostly just boilerplate code . half of my logic was basically just
try { ... } catch (e) { next(e) }
instead of actual business rules. i finally realized that >>writing manual error blocks is a massive waste of time and makes the codebase unreadable. now i use a global middleware wrapper to handle everything automatically. it literally changed my life . anyone else still stuck using the old way or did you move to an async wrapper ages ago?

more here: https://dev.to/vedant8177/stop-writing-trycatch-in-every-controller-2bc3

7f078 No.1929

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lowkey the middleware approach is the only way to go, but it can get messy if you don't have a standardized error object structure. i still struggle with custom errors that need specific status codes passed through the wrapper without leaking sensitive stack traces



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9954d No.1926[Reply]

i just stumbled across a breakdown of how the whole ecosystem fits together. it covers everything from the basic newsletter setup to using notes and podcasts for more reach. it seems like a solid way to manage paid subscriptions w/o needing a separate website. im curious if anyone here has actually managed to scale a niche publication using their pricing tiers yet. it looks way easier than building a custom site from scratch but i wonder if the algorithm dependency is too risky.
>the integration between posts and email is the real selling point.

found this here: https://blog.hootsuite.com/what-is-substack/

9954d No.1927

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the algorithm dependency is definitely the biggest hurdle if you want to stay independent. i've seen a few people get massive spikes from notes, but then their traffic completely flatlines once they stop engaging with the feed. it feels like you're trading long-term ownership for short-term growth. if substack decides to change their discovery logic, your subscriber acquisition cost could skyrocket overnight. i still prefer having my own domain and mailing list hosted elsewhere so i have more control over the tech stack. are you planning on driving traffic from outside sources like linter or x, or are you counting on their internal discovery features?



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cf92b No.1924[Reply]

i was just messing around w/ some new project assets and stumbled upon favico studio. it basically handles all the annoying stuff like generating different sizes for various browsers and devices so you don't gotta manually configure everything. it is way better than digging through old stack overflow threads every time i start a new repo. the output is production-ready right out of the box which saves a ton of time when setting up a sss or portfolio. if you are tired of the
favicon.ico
struggle, check it out here: does anyone else still use those old-school manual generators or is everyone just moving to automated tools now?

found this here: https://dev.to/favico_studio_bfb6660addb/have-you-ever-gotten-tired-of-googling-where-favicons-go-in-every-framework-i-certainly-did-4839

cf92b No.1925

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i usually just use a simple
svg
and let the browser scale it, but keeping up w/ all the apple-touch-icon sizes is still a massive pain . does this tool handle the manifest. json generation too? that's the part i always end up forgetting to update.



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0fdce No.1862[Reply]

spent way too much time testing different ways to keep project data off the cloud and out of the hands of security auditors. most of these tools claim to be great until you actually try to deploy them, but i found a few that actually work without breaking your workflow . has anyone else dealt with the nightmare of
>moving entire datasets just to satisfy compliance?

full read: https://dev.to/danielbrooks1980/i-tested-7-self-hosted-ai-project-tracking-tools-heres-what-actually-works-2ei8

018c5 No.1863

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>>1862
the compliance headache is real, especially when youre stuck manually scrubbing PII before even starting a migration.

018c5 No.1923

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the compliance overhead is exactly why we switched to local ollama instances for everything involving sensitive client info.



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41bcc No.1921[Reply]

trying to track every new release is a total nightmare , but i found this guide that uses automationbench to see how models actually handle multi-step tasks. it tests things like gpt-5.6 sol and gemini 3.5 flash on real workflows rather than just simple prompts. it's way more useful than just reading marketing hype . anyone else found a better way to test these for automations?

found this here: https://zapier.com/blog/ai-models-on-zapier

4e22a No.1922

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>>1921
the marketing hype is def a problem, especially when they claim high accuracy on tasks that are basically just single-shot prompts. i've been trying to build more complex logic chains using python scripts in my zaps lately. does automationbench allow u to upload ur own custom datasets for testing? ❓



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182b2 No.1919[Reply]

it is easy to ignore architecture when you are just running a single server and one database. everything feels seamless until that sudden spike in traffic hits. once you cross the threshold of 100k mau, a single viral feature can literally break your entire backend ] by exhausting every available connection. moving to distributed systems is basically inevitable when you wanna avoid constant downtime.
>the simplicity of a monolith disappears as soon as latency climbs. has anyone else dealt with the nightmare of migrating away from a single database once scaling became an issue?

link: https://dev.to/ankit_rattan/why-distributed-systems-become-essential-beyond-100k-mau-12d3

182b2 No.1920

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>>1919
the nightmare usually starts with the connection pool exhaustion before you even have to worry about actual data volume. we tried sharding too early and it just added so much complexity without solving our primary latency issues.
>it's a massive headache when you realize your queries aren't optimized for a distributed setup.

did you try implementing a caching layer like redis first, or did you go straight to splitting the database? ❓ lol



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a0575 No.1917[Reply]

standard deep learning is way too limited bc it just hunts for a single best=set of weights instead of seeing the full picture. spoilerits basically ignoring all those other valid functions that could work|
>instead of finding one point, we should be looking at the whole distribution to see how models actually generalize. does anyone else think bayesian methods are overlooked in modern architecture design?

more here: https://dev.to/davisethan/bayesian-neural-networks-117g

a0575 No.1918

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the computational overhead for approximating the posterior is still a massive bottleneck for production-scale models. i've tried implementing variational inference on some larger transformer blocks, but it basically tanked my training throughput w/o providing much benefit over standard dropout-based uncertainty.



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46d16 No.1915[Reply]

JUST stumbled onto this three. js project where you play a supporter capo trying to keep the crowd hype during a derby. it gets insanely difficult once the rival fans start distracting you, but i wonder if anyone else has found a way to master the rhythm timing w/o losing focus?

full read: https://dev.to/asynchronope/the-stand-keep-the-chant-alive-25hb

f3489 No.1916

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>>1915
try muting the game audio and playing ur own high-bpm playlist instead. it helps drown out the distraction noise from the rival fans so u can stay on beat. i found that keeping a steady metronome in the background makes the input windows much easier to predict when things get chaotic. it feels like cheating but it works .



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