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Project MRI

AI that tells you which files to read first in new codebase

Project MRI accelerates developer onboarding by providing deep insights into any codebase. Key features include: * Identification of critical files for initial review * Visualizations of system architecture * Pinpointing areas of technical debt * Estimation of project onboarding time * Detailed repository health scores Simply upload a project ZIP file, and Project MRI analyzes the repository to help engineers quickly become productive in unfamiliar codebases. It automatically identifies the most important files to read first, explaining the overall architecture and surfacing hotspots of technical debt. This helps new team members understand how the system is wired together, saving significant time during initial setup. The platform supports a wide range of frameworks including React, Next.js, Express, Django, Spring Boot, and Laravel. It provides an exact reading order, identifies entry points, and lists files that can be safely ignored. Additionally, it generates a ranked list of risky files based on complexity and dependency count, alongside a comprehensive repository health score spanning tests, code quality, architecture, and existing debt. Project MRI is an essential tool for engineering teams and individual developers looking to accelerate understanding of new or legacy systems, mitigate technical risk, and streamline the new engineer's ramp-up period. It transforms complex codebases into digestible insights, fostering faster integration and improved team efficiency.
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