Software #Developers Say #AI Is Rotting Their Brains
by Emanuel Maiberg, May 13, 2026
Excerpt: "The developers I talked to found AI useful for some tasks. Several developers said that it was good for experimentation, allowing them to quickly prototype an idea or to implement something in a domain they’re unfamiliar with. One developer said it was a good information interface. Specifically, he said, the AI helped him find where on the server a certain request is handled, summarize logs, or find documentation related to code changes.
"The problem all the developers I talked to agreed on is that the more they relied on AI to code, the more the skills they’ve honed for years deteriorated. This is by now a well studied phenomenon sometimes referred to as '#CognitiveDebt' or '#CognitiveAtrophy.' The idea is that people who use AI to automate certain parts of their job lose the ability to do those tasks well, therefore #DeSkilling themselves.
" 'I had some issues where I forgot how to implement a Laravel API and it scared the shit out of me. I went to university for this, I've been a software engineer for many years now and it feels like I am back before I ever wrote a single line of code,' the software developer at a small web design firm told me.
" 'It's making me dumber for sure,' the fintech software developer told me. “It's like when we got #cellphones and stopped remembering phone numbers, but it's grown to me mentally outsourcing ‘thinking’ in general. I feel my critical thinking and ability to sit and reason about a problem or a design has degraded because the all-knowing-dalai-llama is just a question away from giving me his take. And supposedly I tell myself ill just use it for inspiration but it ends up being my only thought. It gives you the illusion of productivity and expertise but at the end of the day you are more divorced from the output you submit than before.'
" 'When I was using it for code generation, I found myself having a lot of trouble building and maintaining a #MentalModel of the code I was working with,' the software engineer at the FAANG told me. 'Another aspect is that I joined late last year and [the company’s] codebase is massive. As a new hire, part of my job is to learn how to navigate the codebase and use the established conventions, but I think the AI push really hampered my ability to do that. '"
Read more:
https://www.404media.co/software-developers-say-ai-is-rotting-their-brains/
Archived version:
https://archive.ph/2vjJm
#AISucks #DumbingUsDown #BrainRot #AIBrainRot #MentalMaps #CriticalThinkingSkills #UseYourBrain #UseItOrLoseIt
RE: https://techhub.social/@Techmeme/116371375621483672
"AI for Alzheimer's" has a certain ring to it, nowadays. Just saying...
#Sloppification #AIBrainRot
#RonnyChieng : Is #AI making uni studes dumber?
AI has now written 400 trillion words—yet somehow still thinks "Let's dive in 🚀" is a good opener.
Congrats to everyone training models on vibes and LinkedIn captions. We truly are building the future. 🤖💡 #AIBrainRot
New Cornell study: “Over four months, LLM users consistently underperformed at neural, linguistic, and behavioural levels.” — what’s the betting that your ability to code is eroded by AI use as well?
I mainly use LLMs as a kind of interactive documentation, and never for producing code. That’s mainly because even tools such as Claude Code have coding habits I despise. But keeping my coding brain sharp seems like another good reason to be cautious.
This study explores the neural and behavioral consequences of LLM-assisted essay writing. Participants were divided into three groups: LLM, Search Engine, and Brain-only (no tools). Each completed three sessions under the same condition. In a fourth session, LLM users were reassigned to Brain-only group (LLM-to-Brain), and Brain-only users were reassigned to LLM condition (Brain-to-LLM). A total of 54 participants took part in Sessions 1-3, with 18 completing session 4. We used electroencephalography (EEG) to assess cognitive load during essay writing, and analyzed essays using NLP, as well as scoring essays with the help from human teachers and an AI judge. Across groups, NERs, n-gram patterns, and topic ontology showed within-group homogeneity. EEG revealed significant differences in brain connectivity: Brain-only participants exhibited the strongest, most distributed networks; Search Engine users showed moderate engagement; and LLM users displayed the weakest connectivity. Cognitive activity scaled down in relation to external tool use. In session 4, LLM-to-Brain participants showed reduced alpha and beta connectivity, indicating under-engagement. Brain-to-LLM users exhibited higher memory recall and activation of occipito-parietal and prefrontal areas, similar to Search Engine users. Self-reported ownership of essays was the lowest in the LLM group and the highest in the Brain-only group. LLM users also struggled to accurately quote their own work. While LLMs offer immediate convenience, our findings highlight potential cognitive costs. Over four months, LLM users consistently underperformed at neural, linguistic, and behavioral levels. These results raise concerns about the long-term educational implications of LLM reliance and underscore the need for deeper inquiry into AI's role in learning.
For reasons I don't want to get into I've been researching business process automation stuff and boy howdy has the #AIBrainRot taken over the marketing departments there.
Let me just link to one slide of that 2014 presentation I talked about yesterday:
https://speakerdeck.com/halfbyte/decentralize-all-the-things-eurucamp-2014?slide=12
a1
DoomsdaysCW
Florian Schmidt
MusiqueNow 
✡️ 🇵🇸 
Dash Remover
Caspar Fairhall
half/byte
misanthropic