Divyansh

Every few months, we get a new model that's faster, cheaper, and better than the last one.

But I've come to realize that the AI itself is not the most important bottleneck anymore.

It's the ecosystem of things around it that gets more difficult designing a workflow that feels intuitive, building trust, reducing latency and making sure that the product feels like something the person will love to use every day.

For the past few months, I have been working on Navigator.

The objective here is not to create another AI chatbot or another code generator.

Over the past few months, I've noticed that AI coding tools are excellent at generating code, but they still struggle to keep context across larger projects. That often means spending time re-explaining the codebase instead of moving faster.

I'm curious whether others have noticed the same thing, or if you've run into different limitations. What's the biggest issue you've experienced?