this post was submitted on 05 Jul 2026
171 points (98.3% liked)
Technology
86127 readers
3067 users here now
This is a most excellent place for technology news and articles.
Our Rules
- Follow the lemmy.world rules.
- Only tech related news or articles.
- Be excellent to each other!
- Mod approved content bots can post up to 10 articles per day.
- Threads asking for personal tech support may be deleted.
- Politics threads may be removed.
- No memes allowed as posts, OK to post as comments.
- Only approved bots from the list below, this includes using AI responses and summaries. To ask if your bot can be added please contact a mod.
- Check for duplicates before posting, duplicates may be removed
- Accounts 7 days and younger will have their posts automatically removed.
Approved Bots
founded 3 years ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
The vetting for those offshore programmers ain't worth it tbh.
How many will you go through till you get a competent one? I worked at a company with an office in India and... Maybe 20% of the staff there were gifted and hardworking, 80% were a net detriment to the product we were building.
The office was closed. I hope they kept on the people who were actually good as remote employees but I have no idea.
Sad reality, I'm using LLMs to review the work of our offshore programmers, and as you say: some are good, some are not - and sadly, the ones who are not are also not learning to leverage LLMs to improve their work products. Without LLM review, I'd be advocating to find some of our offshore programmers "more productive ways to apply their skills." With four rounds of LLM review, I'm effectively rewriting (the bad ones') code for them... every... single... pull request.
My best offshore coder figured out how to use the LLMs to review his own code, we have architecture discussions about the best things to do and never have issues with how they are done.
My worst offshore coder "doesn't believe in using AI" and continues to submit code for merge to master branch with obvious race conditions, panic crashes, etc.
Yeah, regardless of what one's stance on AI generated code is, it's a very useful tool for catching anything you might've missed.
Of course it can also be great at catching red herrings lol. That's why I gave up on Mistral
Yeah, like the rest of LLM output, I'd say 80% of an average code review is worth considering - and if that includes anything you might have otherwise missed, that's a win compared to learning about the problem post-launch.