>At higher levels you are responsible for taking your $n number of years of experience to turn more ambiguous, more impactful, larger scoped projects into working implementations that are done on time, on budget and meets requirements.

Is this not a job for LLMs, though?

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raw_anon_1111 7 hours ago | parent [-]

LLMs are good at turning well defined requirements to code.

But even now it’s struggling on a project to understand the correlation between “It is creating Lambda code to do $x meaning it needs to change the corresponding IAM role in CloudFormation to give it permission it needs”

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Spivak 7 hours ago | parent [-]

The LLMs are fantastic at writing terraform when you tell it what to do which is a huge timesaver, but good heavens is it terrible at actually knowing what pieces need to be wired up for anything but the simplest cases. Job security for now I guess?

	▲	raw_anon_1111 7 hours ago \| parent [-]
		I was able to one shot CDK, Terraform and CloudFormation on my last three projects respectively (different clients - different IAC). But I was really detailed about everything I needed and I fed ChatGPT the diagram. I guess I could be more detailed in the prompt/md files about every time it changes lambda code, check the permissions in the corresponding IAC and check to see if a new VPC endpoint is needed.