CodeBurn maps agent token spend

// 45d agoOPENSOURCE RELEASE

CodeBurn maps agent token spend

CodeBurn is a local CLI and TUI that reads session transcripts from tools like Claude Code, Codex, and Cursor, then breaks AI spend down by task type, model, project, and provider. It’s built for developers who want to see whether their budget is going to coding, debugging, brainstorming, or just conversation.

// ANALYSIS

The useful part here is not the charting, it’s the observability layer: CodeBurn makes AI work measurable without a proxy, API keys, or cloud dependency. That turns token burn from a vague annoyance into something teams can actually optimize.

–Deterministic classification avoids adding another LLM in the loop, which keeps the tool cheap and predictable
–Local-only reads are a strong fit for privacy-sensitive teams and solo developers
–The one-shot and retry views add quality context, not just spend totals
–Broad provider support makes it more than a single-assistant accessory
–The deeper signal is category-level spend drift: debugging, planning, and conversation can quietly dominate usage

// TAGS

codeburncliai-codingagentopen-sourcedevtooldata-tools

DISCOVERED

45d ago

2026-05-01

PUBLISHED

45d ago

2026-05-01

RELEVANCE

8/ 10

AUTHOR

Github Awesome

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