I’m seeing a shift on how companies work nowadays.

5 years ago, Qonto was using the Toyota Management System, which is people-centered, with continuous improvement in their processes. Finished working products were valued. We had project-planning phases, where it was decided what to build, why, and at what cost. We were doing things right the first time. We were focusing in one project at a time, until completion. We were keeping technical scalability down. We took the time.

AI produces code fast. The code generated is non-deterministic. Code complexity tends to increase.

Any new project started using AI, looks good. Until it doesn’t. It decays very fast without human steering.

Providing contextual style-guides, or rules as Markdown doesn’t work. You expect deterministic outputs from a non-deterministic process.

AI will either edit your current program, or extend it.

On edit, it will often reuse the same style and standards in the codebase its modifying.