Most conversations about AI focus on intelligence

Better models. Better reasoning. Better benchmarks. Better scores. But when I talk to developers, I hear a different frustration. Not: “AI isn’t smart enough.” Instead: “Why do I have to explain everything again?” Modern AI can understand complex codebases. Generate thousands of lines of code. Debug difficult issues. Yet somehow it still struggles with something humans do naturally: Maintaining continuity. Software projects are not one-time events. They are ongoing stories. Every commit depends on previous decisions. Every feature depends on previous context.