RepoLens is an AI-powered repository intelligence platform that instantly analyzes GitHub repositories. It provides module maps, dependency graphs, API endpoint documentation, and architecture summaries. It solves the problem of slow, error-prone onboarding and code review by offering a structured, searchable understanding of any codebase.
Freemium
How to use RepoLens?
Paste a public repository URL or connect your GitHub account for private repos. RepoLens automatically scans the code, detects modules, extracts dependencies and API routes, and generates documentation. You can then explore visual maps, ask questions in plain English via grounded chat (with answers linked to source files), compare branches, and export reports for team collaboration.
RepoLens 's Core Features
Automatically generates a visual module map showing how the codebase is organized, eliminating the need to manually trace file structures.
Creates an interactive dependency graph to visualize relationships between internal modules and external packages, clarifying architectural connections.
Extracts and documents API endpoints from frameworks like Express, Next.js, Go, Python, and Laravel, listing HTTP methods and file locations.
Provides AI-generated architecture summaries and onboarding guides derived directly from the analyzed source code, offering up-to-date documentation.
Features a 'Grounded Chat' interface where you can ask questions in plain English and receive answers with direct references to the indexed source files for verification.
Offers branch comparison to analyze structural differences, such as new modules, changed dependencies, or modified API routes between versions.
Provides a centralized workspace dashboard to manage all analyzed repositories, branches, results, and team access controls in one secure location.
RepoLens 's Use Cases
New developers onboarding to a project can get a structured overview of modules and architecture in minutes, replacing days of random file exploration.
Engineers reviewing code before making changes can understand the dependency graph and API surface to ensure modifications are made in the correct places.
Tech leads and architects can quickly assess external or legacy repositories to evaluate structure, complexity, and integration points for migration or adoption.
Development teams can use shared workspaces and exported reports to maintain a single source of truth about repository structure, improving collaboration.
Open-source contributors can rapidly understand unfamiliar projects by using the module map and API extraction to find relevant code sections efficiently.
QA and DevOps engineers can analyze repository structure to better understand deployment dependencies and potential integration testing points.
