A tool that estimates the Truck Factor of GitHub projects
-
Updated
Mar 13, 2024 - Java
A tool that estimates the Truck Factor of GitHub projects
Детектор ИИ-кода: проверяет, написан ли код человеком или сгенерирован нейросетью (ChatGPT / LLM). Подсвечивает признаки ИИ-кода с уликами по строкам. CLI, HTML-отчёт и десктоп-приложение; анализ файла, папки или GitHub-репозитория. AI / ChatGPT generated-code detector for Java, JS, TS, Python.
🧑💻️👨💻️👩💻️ List of authors to @seanpm2001 projects
Signed Asqav receipts for Claude Code sessions. Tamper evident evidence of what your coding agent did.
Evidence-based methodology for determining human vs AI authorship in collaboratively produced code — maps legal requirements to measurable interaction patterns across AI platforms
Estimates how much of a codebase was written by coding agents from code style, calibrated on a recent known-human control group. Across 151 popular repos, 72-89% of surviving 2024+ lines are agent-written, vs 14.5% visible from commit trailers.
Add a description, image, and links to the code-authorship topic page so that developers can more easily learn about it.
To associate your repository with the code-authorship topic, visit your repo's landing page and select "manage topics."