¬ just serendipity 🍀 (not just serendipity)

Previously.

CodeBurn shows Gen AI / LLM code usage: where did all the money burning tokens ($$) go?

CodeBurn is a free, open-source, local-first tool that tracks AI coding token usage and cost across 41 tools and agents (Claude Code, Pi, Codex, Cursor, and more), broken down by model, project, and task.

It reads the session files already on disk. No wrapper, proxy, or API key is needed, and nothing leaves the machine (great!).

It’s a TUI.

Installation methods:

% brew install codeburn

OR

% npx codeburn

The same data is also available via web and desktop interfaces. On macOS, menubar downloads the native app to ~/Applications and launches it:

% codeburn menubar
Resolving CodeBurn Menubar v0.9.20...
Downloading CodeBurnMenubar-v0.9.20.zip...
Verifying checksum...
Unpacking...
Verifying app bundle...
Launching CodeBurn Menubar...

  Ready. /Users/thiago.perrotta/Applications/CodeBurnMenubar.app

It shows the current spend in the menu bar. Clicking it opens local breakdowns by agent, model, and activity, plus trends, forecasts, and exports. It refreshes every 30 seconds by default and backs off on battery.

It tracks spend calculated from local sessions, not provider usage windows or reset countdowns. Codexbar does the latter.

I find that the CLI TUI is enough.

A few subcommands:

yield correlates AI sessions with nearby Git commits. It classifies the money spent as productive, reverted, abandoned, or ambiguous:

% codeburn yield -p 30days

  Analyzing yield for Last 30 Days...


Productive:   $594.85 (31%) - 117 sessions shipped to main
Reverted:       $0.00 (0%) - 0 sessions were reverted
Abandoned:    $611.66 (32%) - 377 sessions never committed
Ambiguous:    $709.10 (37%) - 220 sessions lost commits to concurrent sessions

Attribution: timestamp-window based (heuristic)

Total:       $1915.61     - 714 sessions

It’s an experimental timestamp-based heuristic, but a neat answer to “did all those tokens produce code that shipped?”

report opens the interactive dashboard for a given period, with token and cost breakdowns by tool, model, project, and task:

% codeburn report --provider pi -p month

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