Just started at a company and the amount of irresponsible AI use is appalling. I asked an employee whose job involves AI adoption/training how large their diffs are for pull requests. They told me that their diffs are "As much as the model can produce given its reasoning level".

In the end, this is going to create unmaintainable code that no one understands. It also discourages reviewing the code because no dev can meaningfully review 1000s of lines of code in a day while also accomplishing their tasks.

NOTE: I am still pro AI, just like I am pro heavy machinery. I just don't want people to cut off their legs...

I can't agree more. I spent 4 hours debugging an issue with Claude from 10PM to 2AM which I will never do - before Claude.

Or "paying the price" literally. I'm returning after a small break and into new GitHub Copilot prices. A simple question / request / analysis on Sonnet - that will be 29 cents, please. I can't imagine how much it will cost to do actual development with it.

> AI is keeping engineers at their desks longer, not freeing them up. Random rewards, dopamine hits, and no natural stopping points create a loop comparable to casino gambling.

> The fix is deliberate habits, not restricted tools. Time-box sessions, separate exploration from execution, and treat recovery as maintenance.

Getting tired of AI slop telling me about AI.

What type of AI coding? I do not have the attention span to sit there and let these LLMs just churn away. I have to be the one doing the typing or nothing will be accomplished. I tried playing Claude Code and Codex a bit. While impressive in their outputs (at times), I just find the workflow to be so dissatisfying.

One other aspect of LLMs that I do not enjoy when it comes to development is the fact that LLMs minimize my contributions. I do not feel like I can take credit for anything I create if I technically did not create it.

However, I absolutely adore LLMs for learning new concepts and for troubleshooting. To me, that is where they shine the brightest.