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Project MRI

Paid
★ 1 • Updated Jul 7, 2026, 09:13 PM

Project MRI is a software analysis platform that enables developers to rapidly comprehend unfamiliar codebases.

Use Cases ▼
01

Onboarding new developers to an existing project

02

Identifying technical debt hotspots for refactoring

03

Reviewing code architecture before a major change

04

Assessing repository health during technical due diligence

05

Prioritizing code reading during peer reviews

06

Understanding legacy system dependencies

What Problem It Solves ▼

Understanding a large or unfamiliar codebase is time-consuming and error-prone. Project MRI accelerates this process by automatically surfacing the most important files, architectural relationships, and risk areas, enabling developers to become productive faster and make informed decisions about refactoring and maintenance.

Key Features ▼
✓

Instant analysis without any setup or configuration

✓

Prioritized file reading list saves onboarding time

✓

Visual architecture diagrams clarify system structure

✓

Risk ranking highlights problematic code areas

✓

Supports multiple popular backend and frontend frameworks

Overview

Project MRI is a software analysis platform that enables developers to rapidly comprehend unfamiliar codebases. By uploading a ZIP archive of a repository (up to 100 MB), the service automatically generates a prioritized reading plan, identifying the five most critical files to review first. It supports popular web frameworks such as React, Next.js, Express, Django, Spring Boot, and Laravel. The tool produces an architecture diagram that visually maps system components and their interdependencies. Additionally, Project MRI provides a Risk Radar ranking files by complexity and dependency count, along with a weighted Repository Health Score (0–100) covering test coverage, code quality, architecture, and technical debt. An AI assistant is integrated to answer questions about the analyzed codebase. The service is designed for rapid onboarding, technical due diligence, and continuous codebase assessment.

Pros & Cons

Pros

+

Instant analysis without any setup or configuration

+

Prioritized file reading list saves onboarding time

+

Visual architecture diagrams clarify system structure

+

Risk ranking highlights problematic code areas

+

Supports multiple popular backend and frontend frameworks

Cons

−

Maximum upload size limited to 100 MB

−

Requires manual ZIP export; no direct Git integration

−

No free tier beyond the interactive demo

−

May not cover all programming languages or niche frameworks

−

Relies on external service, which may raise security concerns for proprietary code

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