What is AI Code Detector?
Span's AI Code Detector provides engineering leaders with unprecedented visibility into the AI-generated code within their repositories. This powerful tool solves the challenge of understanding AI's true impact by accurately identifying code produced by various AI assistants, empowering you to make data-driven decisions about your team's AI adoption and code quality.
Key Features
🤖 Universal AI Code Detection: Identify code generated by any AI assistant, without requiring specific integrations or manual tagging. This ensures comprehensive coverage across your entire codebase, providing a unified view of AI's presence.
🎯 95% Accuracy with ML Model: Leverage a sophisticated machine learning model,
span-detect-1, trained on millions of code samples to classify AI-generated and human-written code with 95% accuracy in Typescript and Python. This precision gives you reliable data for critical engineering decisions.🔍 Granular Code Analysis: Delve into your codebase with chunk-level analysis, identifying patterns in style, syntax, and structure to accurately classify code sections. For boilerplate or low-signal chunks, the system intelligently abstains, marking them as 'unknown' rather than guessing, ensuring data integrity.
📊 Integrated Developer Intelligence Platform: Go beyond detection by integrating with Span’s complete developer intelligence platform. This allows you to track key performance indicators like AI code ratio, monitor defect rates of AI-authored code, and gain a holistic understanding of AI's influence on your engineering outcomes.
Use Cases
Evaluate AI Assistant Impact: Gain a clear understanding of which AI coding tools are being used across your teams and their actual output. You can track the ratio of AI-generated versus human-authored code over time, providing data to optimize tool adoption and licensing.
Ensure Code Quality & Reduce Defects: Proactively monitor the quality of AI-generated code by tracking defect rates post-merge. This allows you to identify potential quality risks early, ensuring that AI assistance enhances rather than compromises your codebase's integrity.
Optimize Team Productivity: By understanding the prevalence and quality of AI-generated code, you can identify best practices and optimal usage patterns. This data helps engineering leaders guide their teams toward more effective AI integration, enhancing overall developer productivity.
Why Choose AI Code Detector?
Unbiased, Universal Visibility: Unlike vendor-specific reporting, AI Code Detector provides an unbiased, unified view of AI-generated code across all tools and repositories. This eliminates data silos and inconsistencies, giving engineering leaders a single source of truth.
Data-Driven AI Strategy: Move beyond anecdotal evidence or vendor claims. With
span-detect-1's 95% accuracy and detailed metrics, you gain the hard data needed to lead your AI transformation confidently, optimize tool investments, and quantify real-world impact on code quality and team efficiency.Holistic Developer Intelligence: As part of Span's broader platform, the AI Code Detector isn't just a standalone tool. It integrates seamlessly into a complete suite for developer productivity and experience, allowing you to correlate AI adoption with quality outcomes and other key engineering metrics.
Conclusion
AI Code Detector empowers engineering leaders to navigate the evolving landscape of AI-assisted development with clarity and confidence. By providing accurate, data-backed insights into AI code's presence and impact, you can foster smarter adoption, maintain high code quality, and truly understand its contribution to your team's success. Ready to uplevel your engineering metrics program and lead your AI transformation with hard data? Explore Span's AI Code Detector today.
More information on AI Code Detector
Launched
2025-08
Pricing Model
Free Trial
Starting Price
Global Rank
Follow
Month Visit
<5k
Tech used
AI Code Detector was manually vetted by our editorial team and was first featured on 2025-09-17.
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