The top 25% percentile of coders in my org definitely code better than most agents. The rest? I trust the output of an LLM to be far more consistent when adding/deleting features across service layers than a human that can create accidental typos. Same thing with bog-standard React components or Docker build scripts.
I use AWS and OVH at work and this has not my experience.
AWS has more services, but a lot of those are of dubious quality. I'd love to never have to use redshift or EMR again for instance. OVH is more basic, but what it has tends to work at least.
> AWS has more services, but a lot of those are of dubious quality.
Being cynical AWS has more services because many of those are deliberately siloed in order to create a separate billing item, i.e.:
"You want to use AWS Foo ...great, welcome to AWS ! But unless you want to re-invent the wheel re-programming the standard workflow, you should really use AWS Bar and AWS Baz alongside it. Dontcha' like all the cute names we've given them ? Here are all the price sheets, don't forget to read the small print ... good luck figuring out how much it will cost you".
> If running on your own data center, or renting physical/virtual machines from ie Hetzner, you will pay for that capability overhead for 30.5 days per month, when in reality you only need it for 2-3 days.
I keep seeing this take on here and it just shows most people don't actually know what you can do off the cloud. Hertzner allows you to rent servers by the hour, so you can just do that and only pay for the 2-3 days you need them.
Also the GP take is kinda silly, because one pays 5-10x with the typical cloud providers in the first place, so it would be totally fine to pay that and already have it, if one is willing to spend that much.
More likely load will spread over time for most scenarios and the server will be ready to handle that with lower hardware specs.
There's a reason i specifically mentioned finance, where the end and start of a month is a lot more busy than the middle of the month, as in factor 10+.
People receive paychecks, pay bills, buy stuff, with holidays (christmas, x-mas, etc) being even busier.
Load does not even out, and when you have 3 million customers or more, the load is not really insignificant. Nor can you just delay it, or rely on eventual consistency.
The actual hardware (or virtual these days) is not the problem, but getting the 5000-10000 services properly connected with auditing, credentials and more is more trouble than most people expect.
Finance is a heavily regulated industry, so there’s a LOT of compliance that needs to happen, like segregation of duty, traceability, accountability, and other ilities.
Yes, it would probably cost less to run on Hetzner (provided their ISO audits are approved by financial authorities), but dynamically spinning up and down servers would cost more.
You also need fallback plans (regulated industry, critical infrastructure, etc).
It has literally taken years to get AWS and Azure approved in EU.
Anything that wants to adhere to GDPR should still be very careful, if not outright avoid, AWS and Azure. At most one could use an EU-isolated offspring of them, otherwise one runs into the insanity of US laws. The fact that many businesses don't care doesn't make it right.
A problem they face in building their own capacity is that ASML isn't allowed to export their newest machines to China. The US has even pressured them to stop servicing some machines already in China. They've been working on getting their own ASML competitor for decades, but so far unsuccessfully.
> A problem they face in building their own capacity is that ASML isn't allowed to export their newest machines to China.
building their own capacity means building everything in China, that is the entire semiconductor ecosystem. just look at the mobile phones and EVs built by Chinese companies.
This is true for a huge amount of AI output in my experience.
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