[MeetingsBrowser]

> entire services built practically entirely with AI

What kind of services and how complex are they?

I've been using Cursor for a year and struggle to get the agent to make competent changes in a medium sized code base.

Even something isolated like writing a test for a specific function usually take multiple rounds of iteration and manual cleanup at the end.

[Jcampuzano2]

Most services that are written today (Not just talking about my company/experience, I'm talking broadly) are not complex. Many are basically a copy paste of the same types of things that have been built thousands of times before. Now with that knowledge and knowing how LLM's should work it should come as no surprise that AI will be able to spin up new ones quite competently and quickly.

Regarding tests: that is also something I find and many of my peers find that LLM's excel at. Given X inputs and Y outputs an llm will spit out a whole suite of tests for every case of your functions without issue except in complicated scenarios. End to end tests it may not do quite as well at since usually it requires a lot of externalities/setup, but it can help with generating some of the setup and given examples it can build from there. Of course this depends on how much you value those tests, since some don't even think tests are that useful nowadays.