Open-Source Tool Measures AI Coding Agent Autonomy with Local Data Analysis

✍️ OpenClawRadar📅 Published: March 8, 2026🔗 Source
Open-Source Tool Measures AI Coding Agent Autonomy with Local Data Analysis
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What Codelens-AI Does

Codelens-AI is an open-source CLI tool that reads your local Claude Code session files and correlates them with git history. Instead of just tracking cost, it analyzes how the AI agent actually works by calculating autonomy metrics based on your usage patterns.

Key Metrics and Sample Results

The creator ran the tool on 30 days of personal usage and shared these results:

  • Autopilot Ratio: 7.4x — For every message sent to Claude, the agent takes 7 actions
  • Self-Heal Score: 1% — Out of 6,281 bash commands, only 50 were tests or lints
  • Toolbelt Coverage: 81% — The agent uses most available tools (grep, read, write, bash, search)
  • Commit Velocity: 114 steps/commit — It takes 114 tool calls to produce one commit
  • Overall Autonomy Score: C (36/100)
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Practical Impact and Usage

These metrics revealed that while the agent works hard (7.4x Autopilot Ratio), it rarely verifies its own work (1% Self-Heal Score). This insight prompted the creator to change their prompting strategy — they now explicitly tell Claude to run tests after every edit, which increased their Self-Heal Score from 1% to approximately 15% within a few days.

Setup and Data Privacy

The tool requires zero setup: npx claude-roi. All data stays local — it parses your ~/.claude/projects/ JSONL files plus git log. There's no cloud component and no telemetry.

Development Status and Community

The tool is actively seeking feature suggestions, issues, and PRs — particularly around the scoring formula and adding support for Cursor/Codex sessions. The creator is curious what scores other people get and whether others are running this tool.

GitHub: github.com/Akshat2634/Codelens-AI

Website: https://codelensai-dev.vercel.app/

📖 Read the full source: r/ClaudeAI

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👀 See Also