notenkidev

The token leaderboard example was shocking.

Counting token usage as a productivity metric is completely counterproductive. I believe that effectively leveraging AI means reducing wasted tokens, not increasing them.

The visibility gap is serious. I create local activity logs for Claude Code, but most developers have no idea what the AI is actually doing at the file or command level until they look at the logs.

The dramatic improvement in agent capabilities is precisely why observability is becoming so crucial. As autonomous actions increase, the need to understand what the AI is actually doing becomes even greater.

I'm building a local activity log for Claude Code, capturing all activity via hooks—files loaded, commands, API calls, etc.

I feel that this need is particularly strong right now.

Curious how this handles token cost visibility. One of the biggest pain points with AI coding tools right now is having no idea what you're actually spending per project.

Nice work. I've been building a token usage dashboard for Claude Code — seeing how much each project actually costs. Would be curious if Paseo surfaces any token/cost visibility too.