THE COST OF EXPERIMENTING IS COLLAPSING

For decades software development was marked by a high barrier to entry. Before a product could be judged in any real sense, requirements had to be structured, technical decisions prepared, interfaces designed, architectures built and considerable development resources committed.

Those costs acted as a filter. Only a limited share of conceivable product ideas ever reached a stage of development at which a sound judgement became possible.

AI-assisted development changes that filter. It removes neither technical complexity nor the need for good architecture. It can, however, considerably accelerate implementation, the generation of variants, technical research and iteration.

As a result, a coherent functional state of development can be reached far earlier.

The decisive effect therefore does not lie only in delivering existing projects faster. The economic threshold falls at which a new software or product idea can be examined seriously.