Reflections on AI (large language models) in various fields

List of articles on the impact of AI(LLMs) on a developer's life from various perspectives, including: research, students, beginners, professionals, and others:

professional:

• https://jpain.io/god-damn-ai-is-making-me-dumb/
• https://ky.fyi/posts/ai-burnout
• https://yakko.dev/blog/whats-gonna-happen-to-software-developers
• https://human-in-the-loop.bearblog.dev/llms-are-eroding-my-software-engineering-career-and-i-dont-know-what-to-do/
• https://blog.oscars.dev/posts/rip-software-hackathons-long-live-the-hardware-hackathon/

Company:

• https://mastrojs.github.io/blog/2026-05-23-is-AI-causing-a-repeat-of-frontends-lost-decade/

Research:

• https://www.moderndescartes.com/essays/ai_and_expertise/

Academy

• https://htmx.org/essays/yes-and/
• https://vickiboykis.com/2026/05/28/we-should-be-more-tired-than-the-model/
• https://nolanlawson.com/2026/05/25/using-ai-to-write-better-code-more-slowly/

Comments

[Harjot Singh]

it's interesting to see how AI is reshaping the roles of developers across different levels, especially the concerns about burnout. at Moonshift, we help streamline the build process for apps-next.js, postgres, and auth ready to go in about 7 minutes, and you get to keep the code on your github. if you're curious, I can set you up for a free build.