Korext

Track AI generated code in your repository. Open standard. Detects 19 AI coding tools. CC0 spec.

23
0
100% credibility
Found Apr 21, 2026 at 23 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
JavaScript
AI Summary

This repository provides tools and an open standard for detecting and reporting AI coding tool usage in a codebase by scanning commit history and generating a standardized summary file.

How It Works

1
🔍 Discover the tool

You learn about a helpful way to see how much AI coding assistance was used in your project.

2
🚀 Quick setup

You start the tool in your project, and it quietly reviews your past changes to spot AI helpers.

3
📊 Get your AI summary

A clear report appears in your project, listing AI tools used, how many changes they helped with, and when.

4
🔄 Enable auto-updates

It sets up a background helper to refresh the report every time you save changes.

5
🛡️ Add team checks

You link it to your online build process to automatically review AI usage against your rules.

Project transparency achieved

Now your team has full visibility into AI contributions, with safety rules enforced effortlessly.

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Star Growth

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AI-Generated Review

What is ai-attestation?

ai-attestation scans your git history to detect and track AI-generated code from 19 tools like GitHub Copilot, Cursor, and Claude, outputting a standardized YAML file with usage stats, percentages, and tool details—this is the ai attestation meaning for repos needing ai agent attestation. Run `npx @korext/ai-attestation init` in JavaScript projects to auto-generate the ai attestation statement, install a post-commit hook for updates, and get ai attestations like assisted commit counts without reading source code. It also offers a GitHub Action for CI policy enforcement, such as blocking unscanned AI code.

Why is it gaining traction?

Unlike vague logs or manual tracking, it delivers machine-readable ai attestation examples via a CC0 open spec, with privacy-first local processing—no telemetry or code access. Developers hook it into workflows for automatic ai generated track updates and badges, plus governance fields for scans from any engine. The CLI commands like `scan`, `report`, and `badge` make ai attestation form integration dead simple.

Who should use this?

Enterprise compliance teams auditing ai model attestation in codebases, OSS maintainers disclosing tool usage, or dev leads enforcing reviews on AI-assisted commits. Ideal for repos mixing human and AI work, like those using Copilot in monorepos or ai document generator github projects needing provenance.

Verdict

Worth trying for early AI code tracking—solid docs and CC0 spec lower adoption risk—but 23 stars and 1.0% credibility score signal immaturity; test in non-prod first until more battle-tested.

(178 words)

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