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Instantly understand any GitHub repository's architecture using AI GitHub AI Architecture Explorer - understand any codebase in seconds. Open any GitHub repository, click "Analyze Architecture", and get a deep AI-powered breakdown based on ACTUAL source code — not just the README. What you get: 1- Project Overview: What the project really does. 2- Architecture & Patterns: MVC, layered, microservices, Repository pattern, DTOs. 3- Folder Breakdown: The exact purpose of every directory. 4- Tech Stack: Exact versions pulled straight from pom.xml or package.json. 5- API Endpoints: Real routes found in Controller classes. 6- Code Observations: Security issues, design decisions, and potential improvements. BRING YOUR OWN KEY (BYOK): 1- Completely free to install. Paste your Claude (Anthropic) or OpenAI API key in the extension settings. 2- 100% Private. Keys are stored locally on your device and never sent to any third party. 3- Private Repos. Fully supports private repositories via GitHub Personal Access Token. Perfect for: 1- Developers onboarding to a new codebase 2- Tech leads evaluating open source libraries 3- Students learning from real-world projects 4- Anyone who wants to skip hours of manual code reading No backend. No subscription. No data collection. Just AI + GitHub. 📌 v1.0 is optimized for small to medium repositories (up to ~100 files). Large monorepo support coming in v2.0.
Mar 17, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.