Same story as always, writing the code in the easy part. Requirement gathering, analysis, consensus, direction, those are all the hard parts. Enterprises have a business to run and don’t want to run a software shop on top of everything else.
The story is usually that businesses don't want to commit to indefinitely expending their limited efforts maintaining software which isn't part of the company's core competencies. Most of the cost and effort of software happens after the first release is delivered.
> Enterprises have a business to run and don’t want to run a software shop on top of everything else.
It sounds like you mostly understand here. The biggest part of "running a software shop" they want to avoid is responsibility for support, bugs, fires, ongoing maintenance, and legal issues, of post-release software.
Dave's Pizza around the corner doesn't make a social media app, not because Dave can't figure it out, not because he can't vibe code one, not because he can't contract someone to do it, but because running a social media site isn't a core competency of Dave's Pizza. Instead, Dave uses existing social media sites, and focuses his efforts and passions on making pizza.
So I work in enterprise tech. consulting, my current project is with a large, global, chemicals company (it wouldn't be right to call out my client by name). This client is extremely competent from their multiple enterprise architects down to their analysts, they're a pleasure to work with. One of the business requirements could be met by a very simple in-house developed and hosted API, it's a perfect use case for GenAI assisted coding too. There's no magic, it's a problem solved over and over already. However, they don't want to touch inhouse dev with a 10 foot pole for the reasons we're both talking about. They don't want to support it, extend it, back it up, monitor it, and all the other things that have to happen after the code is done. They're perfectly happy to buy licenses from a saas so if anything goes wrong they can tell the CTO "it's not me, it's them". And when the CTO says "why doesn't it do this too!?!" they can say "i'll call our rep and ask".
saas value to an enterprise is more than just the functionality provided and I think that is lost on a lot of the heads down software devs here.
They are, and always have. Looking over "software engineer" roles in my local area, I see folks at companies in a variety of industries: finance, health, logistics, health care, and the local power utility, all well outside the software industry.
Most enterprise companies don't develop everything in house, but usually do have a varied mix of in-house infrastructure, IaaS and PaaS solutions, and SaaS products. Large organizations across varied industries often have multiple internal dev teams, and the availability of increasingly sophisticated AI tools is going to enable the same teams to be effective at more, and more complex, projects. AI will definitely start shifting make-or-buy decisions, especially for mature, commodity use cases, to 'make'.
I don't think it's much cheaper. Writing some code to do some CRUD has always been easy. Getting to a proof of concept is definitely quicker. But creating something that can be relied upon in production? That's as difficult and time consuming as it has ever been.
Yup. I've explained it as okay, some software is free as in beer and others are free as in speech. DIY software is free as in yacht.
It sounds nice, but now you have something that takes an enormous amount of time and effort to use and maintain, plus you need to have someone with the skills to run it.