LLM as an Engineer vs. a Founder?
I feel like many of the AI insights featured on hackernews are from the software engineers Point of View?
There's also the perspective of vibe-coded-to-prod disaster scenarios.
For me, as a software engineer with nearly 20 years experience, AI is already more trustworthy than many contractors I've worked with over the years.
As a founder/product manager, a lot of trust is put into the engineers building the platforms. The Founder <-> Implementer interaction already involves huge amounts of trust. Things happen all the times, and C-suite executives don't have the ability to fix themselves.
My interpretation is that a lot of engineers are just encountering this trust relationship for the first time with AI. We're trusting AI (a ~contractor) to do something to spec. Advanced engineers are able to audit the AI output at a very deep level.
For founders / product managers / executives, this relationship is nothing new, and we already trust other parties to implement our code.
What does everyone think?
Going from contractor to LLM is actually a huge benefit to me, LLM has a much faster feedback loop than human contractors, costs a fraction and has a lower base rate of error (in my experience). Nothing new with the trust model.