Juejin Usage Reads Your Local AI Logs and Tells You Exactly How Dependent You Are
AI coding agents produce local logs that most developers never inspect. A tool that surfaces those logs as concrete Token and call-count trends turns vague dependency into measurable cost and workflow data, without the privacy risk of uploading conversation content.
Juejin Usage, released by the Xitu Juejin community, acts as a local-first AI accounting tool. It scans a developer's machine for installed coding agents like Claude Code and Codex, reads their local usage logs, and surfaces a dashboard of call counts, Token consumption, and model preferences over time. A desktop app auto-registers agent hooks on first launch; a CLI version runs via a single npx command.
The dashboard covers daily and weekly usage trends, model distribution across Claude and Codex, and multi-device merging after logging into a Juejin account. An opt-in leaderboard ranks users against the wider developer community by total usage. Privacy defaults keep all data in a local `~/.ai-usage/` directory — prompt text, hostnames, project names, and API keys are never collected, and cloud sync only uploads anonymized Token counts with a device identifier.
Dog Brother, a Qingdao-based developer, installed the tool and found his own numbers exceeded expectations, prompting a reassessment of which coding tasks genuinely benefit from AI versus manual work. The post ends with a call for readers to share their own stats in the comments.
AI coding agents already produce detailed local usage logs; Juejin Usage is essentially a log-reader and dashboard, not a new instrumentation layer — the data was always there, just invisible.
The tool's privacy model (local-only by default, no prompt or project metadata collection) removes the main objection developers have to AI usage trackers, which is conversation surveillance.
A public leaderboard turns individual AI dependency into a social metric, which could normalize heavy AI use or, conversely, surface outliers who are over-reliant on specific models.