[jatora]

I dont really understand how this is possible. I've built some very large applications, and even a full LLM data curation,tokenizer, pretrain, posttrain SFT/DPO pipeline with LLM's and it most certainly took far less time than if i had done it manually. Sure it isnt all optimal...but it most certainly isnt subpar, and it is fully functional

[Ocha]

So you skipped the code review and just checked that it does what you needed it to do?

[jatora]

Nay, I periodically go through phases in most of my large applications where I do nothing but test, refine, refactor, consolidate, and modularize (the multi-thousand line monoliths that LLM's love to make so much) for days before resuming my roadmaps.

This part is honestly one of the most satisfying, where you merge the already existing functionality with beautiful patterns.

I also make good use of precommit hook scripts to catch drift where possible

[enraged_camel]

I don't know how anyone can make this assumption in good faith. The poster did not imply anything along those lines.

[joshuahaglund]

That looked like a leading question to me, asking for confirmation but not an outright assumption. Seems like a fair question

[TideAd]

GPT-5 codex variants with xhigh reasoning make great code reviewers.

[SamPatt]

5.2 Codex is excellent at reviewing commits. I haven’t used 5.3, I assume it's as good or better.

Especially for large commits, it's become indispensable.