Product

Coderbuds AI Code Detector

by Coderbuds

Product website
https://github.com/coderbuds/ai-detector
Categories
AI Code Detection

Description

Open-source, framework-agnostic YAML ruleset for detecting AI-generated code from multiple tools (Claude Code, GitHub Copilot, Cursor, OpenAI Codex, Devin, Windsurf, Aider, v0.dev, Replit AI), with example implementations in Python, PHP, JavaScript, Ruby, and Go. A free hosted detector tool is also offered.

AI-native score

How ready this product is for agents to use, on a 0–100 scale across four weighted dimensions. Security is one of them, so a high score is not a substitute for your own security or vendor-risk review. How is this scored?

Unrated. Only 8% of the scored decision fields are researched, so the grade is held until more are confirmed. The breakdown below shows what's been scored.

Integration1/10Trust0/6Portability1/4Security0/4Tier D8/100
Component Raw Weight Contribution
Integration 1/10 35% 3.5
Trust 0/6 30% 0.0
Portability 1/4 20% 5.0
Security 0/4 15% 0.0
Signals that fired
  • Integration: SDK / developer kit (+1)
  • Portability: Open source (+1)
Signals not researched

These gaps cover the fields used in the AI-native score.

  • Integration surfaces: llms.txt, WebMCP, Headless signup, MCP servers, Agent2Agent (A2A) servers, Native connectors, API specs, Command-line interfaces, Agent skills
  • Trust & data policy: Trust center, Multi-factor authentication, Zero data retention, No generative AI training, Hard budget caps, Sandbox environment, Data export, Data import, Open standards, Standard protocol access, No proprietary-SDK lock-in, Documented provider swap, Self-hostable
  • Security & compliance: Compliance certifications, Access controls

Trust & data policy

Open source
Yes
Source code
https://github.com/coderbuds/ai-detector

Not yet researched Trust center, Multi-factor authentication, Zero data retention, No generative AI training, Hard budget caps, Sandbox environment, Data export, Data import, Open standards, Standard protocol access, No proprietary-SDK lock-in, Documented provider swap, Self-hostable

What it does

Capabilities

  • AI Code Detection

    Estimate whether a code snippet was generated by an AI coding tool.

    View 2 products

Jobs to be done

  • Detect AI-generated code

    Determine whether a code snippet or file was produced by an AI coding assistant.

    View 3 products

Integration surfaces

How an agent connects to this product and finds its documentation. The largest dimension of the AI-native score (35%).

Developer kits

Not yet researched llms.txt, WebMCP, Headless signup, MCP servers, Agent2Agent (A2A) servers, Native connectors, API specs, Command-line interfaces, Agent skills

Offers

Open-source package

Free

Free MIT-licensed detection package. Hosted Coderbuds service is separate.

View offer

Reviews

No approved reviews yet.

RSS: approved reviews

Catalog activity

Track how this entry changes as proposals are opened and merged.

RSS: merged changes · RSS: open proposals

Products from other publishers that share a job-to-be-done or category, most-shared first.

  • Copyleaks by Copyleaks Unrated

    Same job: Detect AI-generated code (not assessed)

  • CodeDetect by CeciArt Consulting Ltd Unrated

    Same job: Detect AI-generated code (not assessed)

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Ready to decide?

Unrated · 8% researched. Grade withheld until more fields are verified.

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