A
agentseal
Guest
Built this after realizing I was spending ~$1400/week on Claude Code with almost no visibility into what was actually consuming tokens.
Tools like ccusage give a cost breakdown per model and per day, but I wanted to understand usage at the task level.
CodeBurn reads the JSONL session transcripts that Claude Code stores locally (~/.claude/projects/) and classifies each turn into 13 categories based on tool usage patterns (no LLM calls involved).
One surprising result: about 56% of my spend was on conversation turns with no tool usage. Actual coding (edits/writes) was only ~21%.
The interface is an interactive terminal UI built with Ink (React for terminals), with gradient bar charts, responsive panels, and keyboard navigation. There’s also a SwiftBar menu bar integration for macOS.
Happy to hear feedback or ideas.
Comments URL: https://news.ycombinator.com/item?id=47759035
Points: 52
# Comments: 13
Tools like ccusage give a cost breakdown per model and per day, but I wanted to understand usage at the task level.
CodeBurn reads the JSONL session transcripts that Claude Code stores locally (~/.claude/projects/) and classifies each turn into 13 categories based on tool usage patterns (no LLM calls involved).
One surprising result: about 56% of my spend was on conversation turns with no tool usage. Actual coding (edits/writes) was only ~21%.
The interface is an interactive terminal UI built with Ink (React for terminals), with gradient bar charts, responsive panels, and keyboard navigation. There’s also a SwiftBar menu bar integration for macOS.
Happy to hear feedback or ideas.
Comments URL: https://news.ycombinator.com/item?id=47759035
Points: 52
# Comments: 13