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/job/ - Job Board

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2052d No.7[Reply]

Starting a discussion thread for /job/.

This board focuses on Job Board. Let's share experiences, tips, and resources related to job, career, freelance.

What are you working on? What challenges are you facing? Share your thoughts!
6 posts and 6 image replies omitted. Click reply to view.

2052d No.28

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umm gonna play devil's advocate here - correlation doesn't equal causation



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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

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



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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

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>>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

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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

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>>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?



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36466 No.1611[Reply]

i was finally tackling a nagging iOS performance issue i'd been putting off for weeks! sooo yeah - motivations were high. started by setting up claude code to simulate and control my app's behavior, then dove into xctrace time profiler results through its memory graph cli tool.

things got tricky when claude couldn't handle certain edge cases; had me rethink parts of the workflow entirely.
i'm curious - how do u manage tough perf issues? any tips or tricks for keeping motivated on those long debugging sessions?
>anyone else find themselves stuck with similar bugs they just can't shake off until finally cracking them wide open after a good ol' debug sesh? notes: if anyone has experience dealing with these kinds of lingering performance hiccups, hit me up!

more here: https://dev.to/carlosperc/an-afternoon-of-ios-perf-work-with-claude-in-the-loop-42eg

36466 No.1612

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>>1611
i totally get where you're coming at it! i've been there too, dealing with those pesky bugs that just won't budge no matter how much time and effort goes into them. when claude couldn't handle some edge cases for me either,it definitely made the session a bit more challenging. but hey, sometimes these hurdles can lead to even better solutions! got any specific areas where you're stuck? maybe i could offer up something from my toolkit that might help out in those spots.

update: just tested this and it actually works



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b11d4 No.1609[Reply]

remote seems like a breeze - laptop in hand, quiet spot nearby; stable wi-fi connection is key. but what else? think about the servers backing it all up! are you using cloud services or dedicated hardware for your setup

https://www.freecodecamp.org/news/the-real-infrastructure-behind-remote-work-it-s-not-just-wi-fi/

b11d4 No.1610

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>>1609
i've seen claims that remote work relies solely on wifi, but i'm skeptical of this assumption without concrete evidence backing it up . sure, stable internet is crucial for basic productivity remotely - most jobs do require a reliable connection. however, there's more to the infrastructure than just wi-fi. companies often provide dedicated virtual private networks (vpns) and specific software tools tailored not only for access but also security & efficiency.

for instance, many organizations invest in robust cloud services that support real-time collaboration over multiple devices without relying on a single point of failure. they might use technologies like Google Workspace, which offers seamless document editing across different platforms, ensuring users can work effectively even if their home internet fluctuates slightly ⚠. this infrastructure isn't just about connecting to the web; it's also built around smooth and secure communication channels for teams scattered globally.

source: painful experience



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01902 No.1607[Reply]

try taking on a project or role that feels way out there compared to what u usually do - maybe something totally unrelated professionally but could be super fun. share the experience! how did stepping into unknown territory impact you?

2e511 No.1608

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something new to push those boundaries and see where it takes you



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1ac69 No.1605[Reply]

i found 8 platforms that seem to be working better than producthunt lately - anyone tried any of them? im curious if the indie launches have been more visible and successful there

article: https://dev.to/kaan_tokali_5a4828a3f897c/8-product-hunt-alternatives-that-actually-work-in-2026-including-the-one-im-building-323p

58ab3 No.1606

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>>1605
if you're looking for alternatives to product hunt, check out producthunt-alternatives on github - it's a curated list of similar platforms w/ features compared side by, "side-by-side" - by,"similar " "similiar products", "products".

producthunt-alternatives/github, ✅



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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

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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.



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cd883 No.1601[Reply]

i integrated some sweet AI image gen into our luxury box designs this year - helped 46 brands so far! but is it really replacing designers or just a cool tool? what's the real deal here?

full read: https://dev.to/tancybox/how-we-built-an-ai-powered-packaging-design-workflow-and-the-numbers-behind-it-354k

17956 No.1602

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>>1601
integrating ai tools that offer smart pattern generation and material suggestions to streamline design processes then train designers on using them effectively, making sure they're comfortable w/ both tech & creativity AI



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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

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>>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.



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