Why optimizing for system comprehension is key to implementing AI for software development

How do you know if your company is optimising AI for the right things? For most companies, the biggest challenge with AI isn’t implementing AI tools or figuring out how to replace people, cut costs, or improve efficiency. It’s understanding how AI can be used to augment practices, speed up repetitive processes, and complement creative energy. Instead of competing with AI and asking how AI can complement your technical teams, many companies are asking how individual developers can complement AI.

In software development, typing code is rarely the bottleneck, so AI solves a problem that, by itself, does not necessarily speed up development. Most developers, however, use it as a coding tool. As Kent Beck has clearly stated, the frontier of augmented development is maximising human learning, not code production. We can apply this lesson across many AI projects. AI only works when people understand it and know how to use it effectively.

I will use the AI rollout at our company as a case study and a source of lessons learned.