I vibe code 50+ hours a week and burned 5B tokens
I vibe code 50+ hours a week with Claude Code and Codex. It's basically my full-time job on top of my full-time job. Most nights I sit down to "fix one quick thing" and surface at 3am.
But for the longest time it was all vibes, no data. How many tokens am I burning? How much code is AI writing vs me? Am I actually getting better at this or just spinning?
So I built AgentBoard to track it.
After a month, the numbers hit different: over 5 billion tokens consumed across Claude Code and Codex. That single data point changed how I think about productivity — I started seeing patterns in when I'm effective, which tools I reach for, and where I waste tokens going in circles.
AgentBoard exists to give every developer that same clarity. Track your token usage, see weekly stat cards you can share, compare on team leaderboards, and learn how to harness AI tools more effectively over time.
Early days. If you're deep in the vibe coding rabbit hole too, I'd love your feedback.
This is a very real pain point. The part I like most is that you are tying token usage back to behavior, not just cost reporting.
One thing I would test hard: separate "tokens spent exploring" from "tokens spent executing." In my own TokenBar work, the useful moment is often not the monthly total, it is noticing mid-session that I am about to shove too much context into a model or loop on the same bad prompt again.
If AgentBoard can show people where the wasted loops happen, not just the big number, that feels much more actionable for devs who are already deep in Claude Code/Codex.
Relevant because I am building in the same token-visibility space: https://tokenbar.site/
The useful split I’d want next is tokens by outcome, not just by tool: shipped code, reverted code, exploration, debugging, and dead-end loops. Raw token volume is interesting, but the real behavior change comes from seeing which sessions produced something durable vs which ones just felt productive.
5B tokens and still debugging at 3am — respect 😄
This is exactly the visibility gap we see with agency clients too. They vibe code their way through a sprint and have no idea where the hours actually went.
Running a 45 person dev agency and token tracking across teams is something we have been thinking about. AgentBoard might just solve that.
Watching this closely. Keep building.
How does the amount of tokens used actually help you become a better AI coder?
This resonates way more than I expected. “Vibe coding” is the perfect phrase — you sit down to fix one tiny thing and suddenly you’ve burned through a billion tokens and half the night. It feels productive, but without data you never really know if you’re improving or just looping.
What you built hits a real gap. Most devs using AI tools have no visibility into their own patterns:
When they’re actually effective
When they’re just burning tokens
Which models they lean on
How much of the code is theirs vs AI’s
Whether they’re getting better over time
That kind of feedback loop is insanely valuable. It turns “vibes” into something measurable.
The weekly stat cards and team leaderboards are especially interesting — I can see this becoming a quiet competitive layer inside engineering teams.
Early days or not, this scratches an itch a lot of us have but never articulate. Nice work.