zlacker

>>namany+(OP)
I think one of the interesting things here is that AI doesn't need to be able build B2B SaaS to kill it. So much of the overhead of B2B SaaS companies is thinking about multitenancy, intergrating with many auth providers and mapping those concepts to the program's user system, juggling 100 features when any given customer only needs 10 of them, creating PLG upsell flows to optimize conversions, instrumenting A/B tests etc...

A given company or enterprise does not have to vibe code all this, they just need to make the 10 features with the SLA they actually care about, directly driven off the systems they care about integrating with. And that new, tight, piece of software ends up being much more fit for purpose with full control of new features given to company deploying it. While this was always the case (buy vs build), AI changes the CapEx/OpEX for the build case.

>>d_watt+o2
there's no shortage of software engineers, if it was so easy for an organization to replace a saas with something built in-house they'd be doing it all the time. In my experience in enterprise consulting implementing a well defined requirement is the easiest part. Getting everyone to agree on the requirement, getting it defined, and stopping it from changing after every demo is the hard part.