AI Code Detector
Developer Utilities
AI Code Detector
Hey HN, I’m Henry, cofounder and CTO at Span ( https://span.app/ ). Today we’re launching AI Code Detector, an AI code detection tool you can try in your browser. The explosion of AI generated code has created some weird problems for engineering orgs. Tools like Cursor and Copilot are
What is AI Code Detector?
AI Code Detector is an open-source tool designed to identify code generated by AI systems. Created by Span's cofounder and CTO Henry, the detector addresses a growing challenge in software development organizations: distinguishing between human-written and AI-generated code. The tool operates directly in the browser, making it accessible without installation or setup. As AI coding assistants like Cursor and Copilot become increasingly prevalent in development workflows, engineering teams face practical questions about code provenance, quality assurance, and team practices. AI Code Detector helps organizations understand the composition of their codebases by identifying sections likely produced by machine learning models. The detector is particularly relevant for engineering leads, security teams, and organizations establishing policies around AI-assisted development. It serves as a diagnostic tool rather than a enforcement mechanism, providing visibility into where AI-generated code appears within projects. Available as open-source software, AI Code Detector prioritizes transparency and community contribution. The tool can be tried immediately through its browser interface at code-detector.ai, allowing developers to test its detection capabilities without commitment. This approach makes the technology freely available to teams of any size while enabling collaborative improvements to detection accuracy.
Key Features
- Browser-based AI code detection tool with no installation required
- Identifies code generated by AI tools like Cursor and Copilot
- Helps engineering organizations manage AI-generated code in their workflows
- Quick analysis of code snippets to determine AI vs human authorship
- Addresses emerging challenges from widespread AI code generation
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