> Think microservices.

Microservices should already be a last resort when you’ve either: a) hit technical scale that necessitates it b) hit organizational complexity that necessitates it

Opting to introduce them sooner will almost certainly increase the complexity of your codebase prematurely (already a hallmark of LLM development).

> Better documentation

If this means reasoning as to why decisions are made then yes. If this means explaining the code then no - code is the best documentation. English is nowhere near as good at describing how to interface with computers.

Given how long gpt codex 5 has been out, there’s no way you’ve followed these practices for a reasonable enough time to consider them definitive (2 years at the least, likely much longer).

> Opting to introduce them sooner will almost certainly increase the complexity of your codebase prematurely

Agreed, but how else are you going to scale mostly AI written code? Relying mostly on AI agents gives you that organizational complexity.

> Given how long gpt codex 5 has been out, there’s no way you’ve followed these practices for a reasonable enough time to consider them definitive

Yeah, fair. Codex has been out for less than 2 weeks at this point. I was relying on gpt-5 in August and opus before that.

I understand why you made it microservices, people make that too even when not using LLMs, because it looks like it is more organized.

But in my experience a microservide architecture is orders of magnitud more complex to build and understand that a monolith.

If you, with the help of an LLM, strugle to keep a monolith organized, I am positive you will find even harder to build microservices.

Good luck in your journey, I hope you learn a ton!

Noted. Thanks!