The new thing is, with generative AI, you can develop code from from scratch. However, both software developers and AI need guidance to write maintainable code and avoid technical debt.

What I'm doing right now privately, not with our clients, is to use generative AI (Copilot) to develop a domain architecture in EA style, a solution architecture aligned with the domain and a software development playbook. All of this will be input to Claude and the development of iPhone front-end and Azure backend.

This is now for me and new for many of our clients. What about next and beyond?

In the old days, you wrote code from scratch to support your core business. Then COTS solutions for common things like finance, supply-chain etc. The trend continued with SaaS in the cloud.

What if development cost becomes low, not free, in the future. What are the implications?

Today, we have the 80/20 rule. 80% of the IT budget goes to maintenance of everything that is in production, e.g. legacy. So if you want to lower your TCO, you need to address the question how to use AI to manage your existing applications cheaper.

Eventually, the possibility to write and maintain your own code, will put a price pressure on large COTS and SaaS vendors. I'm looking at you SAP, Oracle, Microsoft, Salesforce and others.

The other prediction is that if your business heavily relies on IT, then it will be much cheaper for competitors to challenge our market dominance. Finance and insurance is a typical sector that may be impacted. Same goes for typical on-line business selling services and social media platforms. The brand, and trust in you, is fare more important than your IT in the future.

If your in physical world, less of a challenge, at least for next.

Beyond next? I would take inspiration from sience fiction and continue to polish the crystal ball.

For film production, focus should be on creativity and storytelling, and try to do lean productions to lower the costs

Disruptive architecture