Awesome software, less code

For companies building serious AI-agent systems, the question should not only be: Which model should we use? It should also be: What architecture will keep this system reliable when things go wrong? That is where the Actor Model, Erlang, and Elixir become highly relevant.

This is the problem of AI code inflation. Just as monetary inflation means more money chasing the same amount of value, AI code inflation means more code entering the organization without a proportional increase in durable business value.

The risk is not that AI writes code. The risk is that AI makes it easier to create more software complexity than the business can afford to own.

The cost of software has never only been the cost of writing the first version. The real cost comes later: understanding it, changing it, testing it, debugging it, securing it, integrating it, onboarding new developers, and making sure it still behaves correctly when the business changes.

AI reduces the cost of producing code. It does not automatically reduce the cost of maintaining systems. In fact, without the right architecture, AI can amplify one of the oldest problems in software: complexity.