debugtheworldbot

debugtheworldbot / ai-credit

Public

A command-line tool to track and analyze AI coding assistants' contributions in your codebase

ai-credits.vercel.app
62
3
100% credibility
Found Feb 08, 2026 at 43 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

A command-line tool to track and analyze contributions from AI coding assistants such as Claude Code, Codex CLI, Cursor, Gemini CLI, and Opencode in a codebase by detecting session data on macOS, Linux, or Windows systems.

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AI-Generated Review

What is ai-credit?

ai-credit is a TypeScript CLI tool that scans your local session logs from AI coding assistants like Claude Code, Cursor, Codex CLI, Gemini CLI, and Opencode to quantify their contributions. It verifies which AI-generated lines still exist in your current codebase, delivering stats on files touched, lines added/removed, contribution ratios per tool and model, plus timelines and file breakdowns. Run `npx ai-credit` on any repo for console tables, JSON exports, or Markdown reports—no setup beyond npx.

Why is it gaining traction?

Unlike basic git blame tools or unverified log parsers, ai-credit cross-references AI session data against your live code with modes like relaxed or strict matching, ensuring accurate ai credit scoring that ignores overwritten changes. The polished CLI shines with progress spinners, color-coded breakdowns, and distribution bars, making ai credit builder insights instant and shareable. Developers hook on the "aha" moment of seeing exact shares from tools like Cursor vs Claude in their command line github repos.

Who should use this?

AI-heavy solo devs comparing Cursor effectiveness against Gemini CLI in personal projects. Team leads auditing ai credits adobe-style workflows or ai credits jetbrains integrations for productivity reports. Open source maintainers tracking command line github copilot alternatives in contributions.

Verdict

Worth npx-ing today for AI power users—solid docs and cross-platform support make it immediately useful despite 49 stars and 1.0% credibility signaling early maturity. Add tests and GitHub Copilot support to hit escape velocity.

(198 words)

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