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The sort of recent increase in these "claudisms" finally made me buy a ChatGPT Pro subscription. First time using Codex CLI. It's surprisingly different, feels good/fresh. I guess one can say I was quite loyal to Claude Code, or maybe just lazy / it worked well enough so far. And now I'm considering finally cancelling my Claude Max subscription. It would be another first time too.

It was mentioned that ChatGPT (still) has some similar quirks too. What are they? Maybe I actually shouldn't look out for them, so that the freshness of ChatGPT will not be lost.


I closed the website after seeing that heading.

I wonder if I would have less of an issue with this if such blog posts would just start with: “I asked $model $model-version the following: $prompt. Here is what I got.”


As a solo dev or rather nowadays more so only a decision maker / agent overseer, I came to enjoy letting my agents develop against a Gerrit repository / workflow. Dev agent pushes a CL, review agent picks it up (not just the diff, but the full repo), runs tests/reviews/review-subagents and concludes by posting a review as well as a vote. This goes back and forth with new patch sets / replies to the threads. Eventually the CL gets a +2 or whatever and I have the final call to manually submit it. It is way slower compared to just pushing through development with one agent doing everything yolo against a normal repository, but it seems to me that the additional time is well spent (no, I don't have fancy graphs or similar analysis to prove this other than my gut feeling after looking at recent development results).


The use cases in the future will be nothing like the use cases from today.


Maybe. The use cases people primarily use LLMs for (documents, coding, design, research) existed decades ago with different tooling. Who knows if the future will have a slew of new problems that require new models or will continue to be similar?


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