AuthentiCraft

Track and verify code provenance with confidence

Overview

AuthentiCraft is a powerful VS Code extension that revolutionizes code provenance tracking by intelligently distinguishing between manual and AI-assisted code edits. Using advanced detection algorithms with confidence indicators, it provides transparent attribution and comprehensive visualization of your code's origin and edit history.

Features

1. Code Provenance Tracking

AuthentiCraft maintains a secure, immutable record of all code edits using blockchain technology:

Who made the edit
When the edit was made
How the edit was created (manual or AI-assisted)
Confidence level of the source detection

2. Advanced AI Detection

Our sophisticated multi-layered detection system differentiates between manual and AI-assisted code:

Multi-level confidence indicators (HIGH, MEDIUM, LOW)
Pattern recognition for AI-generated code structures
Keystroke analysis to detect human vs. machine input patterns
Content analysis examining documentation, formatting, and complexity

3. Enhanced Visualization

The ProvenanceView provides comprehensive visualization of your code's origin:

Confidence badges showing detection reliability
Statistics panel displaying distribution of edit sources
File-specific edit source tables with mini-progress bars
Trend analysis showing changes in edit patterns over time
Collapsible edit details for better information organization

4. Blockchain Verification

Every edit is cryptographically secured and can be verified:

Immutable blockchain ensures edit history can't be tampered with
Cryptographic verification of edit chain
Export capabilities for audit and compliance

Installation

Open VS Code
Go to Extensions (Ctrl+Shift+X or Cmd+Shift+X)
Search for "AuthentiCraft"
Click Install

Or install directly from the VS Code Marketplace: AuthentiCraft on VS Code Marketplace

Requirements

Visual Studio Code version 1.74.0 or higher

How It Works

AuthentiCraft employs a multi-layered detection system to differentiate between manual and AI-assisted code:

Keystroke Analysis: Monitors typing patterns and speed
Structural Pattern Detection: Analyzes code structure and formatting
Language-Based Heuristics: Examines documentation style and complexity
Context Analysis: Evaluates edit size and surrounding content

All detection results are assigned confidence levels (HIGH, MEDIUM, LOW) to provide transparent attribution.

Usage

Activity Bar Integration

AuthentiCraft integrates directly into the VS Code interface with a dedicated sidebar:

Provenance Explorer: Browse through your code edits organized by file, edit type, and confidence level
Edit Statistics: View real-time visualizations of your coding patterns and AI assistance metrics

The sidebar provides a hierarchical tree view of your edits:

Files with edits (top level)
- Edit types (AI-Assisted or Manual)
  - Confidence levels (High, Medium, Low)
    - Individual edits with timestamps

Status Bar Integration

A status bar indicator shows the current tracking status:

Active: Shows when tracking is enabled with a record icon
Paused: Indicates when tracking is paused with a pause icon
Click to Toggle: Quickly enable or disable tracking by clicking the indicator

Commands

Access AuthentiCraft's features through the Command Palette (Ctrl+Shift+P or Cmd+Shift+P):

Start Tracking Code Provenance: Begin monitoring and categorizing your code edits
Pause Tracking: Temporarily disable tracking when needed
Show Code Origin Dashboard: Open the comprehensive provenance visualization
Verify Edit History Integrity: Validate the blockchain to ensure no tampering
Export Provenance Data: Export your edit history in various formats
Configure Your Identity: Set or update your identity for attribution
Display Activity Monitor: View detailed logs of all tracked activities

You can also access key functions via:

The status bar indicator
Editor context menu
Dedicated sidebar views

Detailed Statistics

The Edit Statistics view provides:

A visual breakdown of manual vs. AI-assisted code by percentage
Color-coded indicators for different edit types
Interactive elements to filter and explore your code provenance
Trend analysis showing how your coding patterns evolve over time
Start Tracking Code Provenance: Begin monitoring and categorizing your code edits
Pause Tracking: Temporarily disable tracking when needed
Show Code Origin Dashboard: Open the comprehensive provenance visualization
Verify Edit History Integrity: Validate the blockchain to ensure no tampering
Export Provenance Data: Export your edit history in various formats
Configure Your Identity: Set or update your identity for attribution
Display Activity Monitor: View detailed logs of all tracked activities

You can also access key functions via:

The status bar indicator
Editor context menu
Dedicated sidebar views

Extension Settings

AuthentiCraft provides the following configuration options:

authenticraft.enable: Enable or disable code provenance tracking and source detection
authenticraft.userId: Your unique identifier for code attribution and blockchain verification
authenticraft.aiDetection: Enable intelligent detection of AI-assisted code contributions
authenticraft.manualDetection: Enable detection and tracking of manually written code
authenticraft.aiDetection.sensitivity: Set the sensitivity level for AI code detection algorithms (affects false positive rate)
authenticraft.verbose: Enable detailed diagnostic logs for troubleshooting and verification

Privacy & Security

AuthentiCraft prioritizes your privacy:

All tracking occurs locally on your machine
No code content is ever sent to external servers
The blockchain ledger is stored in your workspace

Release Notes

1.0.1 (May 2025)

Enhanced user interface with intuitive command icons
Added activity bar integration with dedicated sidebar
Implemented Provenance Explorer and Edit Statistics views
Added editor context menu for quick access to core features
Improved command naming for clarity and user-friendliness
Added detailed metadata for better marketplace presentation

1.0.0 (May 2025)

Initial release with AI detection and confidence indicators
Blockchain-based provenance tracking
Comprehensive visualization with statistics panel
File-specific edit source tracking
Trend analysis and confidence badges

Roadmap

Future planned features:

Team collaboration with merged blockchain histories
Git integration for repository-wide provenance tracking
Machine learning-enhanced detection algorithms
IDE-agnostic tracking via plugins for other editors
Export signing and verification tools

License

MIT License - see the LICENSE file for details.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

Fork the repository
Create your feature branch: git checkout -b feature/amazing-feature
Commit your changes: git commit -m 'Add some amazing feature'
Push to the branch: git push origin feature/amazing-feature
Open a Pull Request

Testing AI Detection

For detailed information on testing the AI detection features, see the AI Detection Testing Guide.

# Run with verbose logging
AUTHENTICRAFT_DEBUG_AI=true code --extensionDevelopmentPath=${workspaceFolder}

# Run the automated test script
./test-ai-detection.sh

Creating Custom Detection Rules

You can extend the detection system by adding new patterns to:

src/keystrokeTracker.ts - For typing pattern detection
src/detectors/structuralPatternDetector.ts - For code structure analysis
src/detectors/languageBasedDetector.ts - For language-specific patterns

Following extension guidelines

Ensure that you've read through the extensions guidelines and follow the best practices for creating your extension.

Extension Guidelines

Working with Markdown

You can author your README using Visual Studio Code. Here are some useful editor keyboard shortcuts:

Split the editor (Cmd+\ on macOS or Ctrl+\ on Windows and Linux).
Toggle preview (Shift+Cmd+V on macOS or Shift+Ctrl+V on Windows and Linux).
Press Ctrl+Space (Windows, Linux, macOS) to see a list of Markdown snippets.

For more information

Enjoy!

AuthentiCraft: Code Provenance Tracker

Dibya Darshan Khanal