It's Not About the Model – It's All About the Context.

The more AI I build, the clearer it becomes for me that the model is rarely the issue. The true bottleneck is context. AI can write fantastic code.

However, it fails when it needs to comprehend:thousands of existing files,project structure,decisions made before,and all the consequences of making one single change.

That's why I believe the future is not only about bigger models. It's about creating a system which will be able to manage context, reason about the whole project, and make modifications without losing track of what was there before.

I wonder Is context the most limiting factor for today's AI systems, or is it something different?