Spec-driven development doesn’t just change how we work with AI; it fundamentally improves the quality and sustainability of the software we build.

An AI agent reads its own source code, forms a hypothesis for improvement (such as changing a learning rate or an architecture depth), modifies the code, runs the experiment, and evaluates the results ...

Ultimately, AI adoption is shaped less by enthusiasm or technical feasibility and more by whether organizations can prove ...