Earlier quoted context omitted.
I know the fourth rail on HN these days besides sex, religion and politics seems to be “AI”, but AI has taken the drudgery out of going from design -> implementation for me at least.
Great! Can you point us to a public successful example of your work using AI for implementation?
I’ve implemented LLM based “intent processing” instead of old school “give it a list of every possible phrase that someone could use to activate an intent” for call centers for a couple of states and a couple colleges - I worked for AWS ProServe directly in the pub sec division and now work for a third party consulting company.
Think of an intent as something like asking Siri for driving directions, setting an alarm etc.
One of my specialties is Amazon Connect for hosted call centers - based on the same service that Amazon uses internally. Think of the difference between how Google Assistant and Alexa worked pre LLM and how Siri works today compared to tool calling that modern LLMs used.
That’s just using an LLM in a product.
As far as how I use it everyday? I am a staff consultant and in the previous times, I needed at least a couple of developers under me just to get the grunt work done on time. Now I can just treat Claude Code and Codex as faster, more accurate ticker takers.
Of course I’m not going to dox myself (more than I probably already have) or break any NDAs
And before the gate keeping starts about “I must be inexperienced”. My first time coding was on a 1Mhz Apple //e in assembly and BASIC in 1986. During the first decade and a half of my professional career, I programmed in C targeting everything from mainframes to PCs to Windows CE ruggedized devices.