The bottleneck was never the code

As AI coding agents dramatically increase the speed of writing code, the bottleneck in software development is shifting from writing code to producing precise specifications.

When agents take charge of implementation, the core task becomes creating clear instructions that agents can immediately act on, such as roadmaps, acceptance criteria, and design documents. This means the difficulty of development is shifting from 'how to implement it' to a management problem of 'what to define and how.'

As the cost of writing code falls, the output of prototypes and internal tools surges, but the rate at which users can absorb them is limited. As a result, the discipline of focus—deciding what to build and what not to build—becomes even more important.

Also, shared context within an organization is a key resource that agents struggle to fully reconstruct. This is because agents cannot fully grasp undocumented implicit decisions or the context that emerges during real-time collaboration.

Ultimately, future competitive advantage will be determined not simply by using a superior model, but by the ability to externalize and manage knowledge through agents while maintaining organizational consistency even as the organization grows in size.