Mobb Tracy

Finally understand what AI is really doing in your codebase - turning the AI coding black box transparent.

Overview

Mobb Tracy is an AI code intelligence platform that provides line-level visibility into AI-generated code in your pull requests. It shows exactly which lines were generated by AI, which model was used, and what prompt created them - not to blame, but to learn and improve code review processes.

As AI writes more code, traditional code review has become harder and less clear. Tracy solves this by giving reviewers the context they need to focus on the right areas and understand how AI was used in the development process.

What Tracy Shows You

• AI-generated code identification: See exactly which lines were written by AI vs manually

• Model information: Know which AI model was used for each code segment

• Prompt visibility: View the actual prompts that generated the code

• Code review focus: Quickly identify AI-generated changes that need careful review

Use Cases

Tracy serves three main customer segments with distinct value propositions:

1. Security Teams

For security professionals who need visibility into AI's impact on code security:

• Full transparency of where AI code exists across teams and projects

• Security correlation - identify which AI tools, models, and prompts created security vulnerabilities

• Risk assessment - understand which teams need security focus based on AI usage patterns

• Compliance support - maintain audit trails for AI-generated code in regulated environments

2. AI Adoption (Enterprise)

For medium to large companies still building AI development practices:

• Adoption metrics - track and measure AI coding adoption across the organization

• Responsible rollout - enable AI development in a controlled, transparent manner

• Developer confidence - reduce resistance to AI tools through transparency and accountability

• Process improvement - help teams transition from manual to AI-assisted development safely

3. Continuous Improvement (Advanced Teams)

For organizations with mature AI adoption looking to optimize their practices:

• Knowledge sharing - learn from top-performing AI developers across the team

• Prompt optimization - identify and share effective prompts and AI interaction patterns

• Efficiency analysis - understand what makes a productive vs. wasteful AI coding session

• Best practice development - establish data-driven guidelines for effective AI usage

Supported IDEs

Tracy currently supports:

• Cursor IDE - Setup Guide

• VS Code with GitHub Copilot (Setup guide coming soon)

More IDE integrations coming soon.

Seeing Tracy in Action

Once installed, Tracy automatically analyzes your pull requests and provides:

Pull Request Annotations

Every PR shows a detailed analysis including:

• Total lines added

• AI-generated lines count

• AI percentage of the changes

• Line-by-line AI attribution

Detailed Code View

Click "View results in Tracy" to see:

• Which specific lines were AI-generated

• The AI model used (GPT-4, Claude, etc.)

• The original prompt that generated the code

• Context about the generation process

Getting Started

• Choose your IDE setup:

  • Cursor IDE guide if you're using Cursor

  • VS Code with GitHub Copilot Guide (coming soon)