About This Site
Codebase intelligence for documentation, AI context, health analysis, and safer software changes Repowise is codebase intelligence software that analyzes source code, dependencies, call relationships, Git history, ownership, tests, security signals, and architectural decisions. It converts this evidence into a reusable codebase model, source-linked documentation, dependency graphs, health scores, change-risk analysis, and grounded answers for developers and AI coding agents. Repowise supports MCP tools for Claude Code, Cursor, and other compatible clients, as well as hosted repositories, GitHub pull request reviews, team workspaces, and self-hosting through its AGPL-3.0 open-source core.
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Key Features AI
Core Features
Source-verified codebase documentation and auto-generated wiki
MCP-based AI context for Claude Code, Cursor, and compatible clients
Defect-validated file-level code health scoring
Commit and pull request change-risk analysis
Dependency graphs with reachability-aware CVE triage
Git hotspot, ownership, bus-factor, and hidden-coupling analysis
C4 architecture documentation for systems, containers, and components
Architectural decision discovery from multiple engineering sources
Agent provenance showing AI-authored code and its health
GitHub pull request bot for contract, co-change, and merge-risk checks
Semantic search, symbol exploration, dead-code analysis, and dependency analysis
Self-hosted open-source deployment under AGPL-3.0
Advantages
Combines code structure, Git history, tests, health, security, and decisions in one evidence model
Provides source-linked and inspectable explanations instead of opaque AI opinions
Supports MCP access for popular AI coding tools
Offers deterministic code health and change-risk analysis with no LLM required for core signals
Provides public repository browsing without requiring an account
Includes an open-source AGPL-3.0 core that can be self-hosted
Supports private repositories, team sharing, PR reviews, and portfolio dashboards on paid plans
Published benchmark results include sample sizes and evaluation conditions
缺点：Private repositories and unlimited AI answers require a paid plan
缺点：Free usage is limited to 10 AI answers per month and has repository, history, and indexing limits
缺点：Teams pricing requires a three-seat minimum
缺点：Model-generated explanations consume credits or require a connected provider key
缺点：Enterprise features such as SSO and SCIM are still in development, while packaged air-gapped installation is planned
缺点：The hosted service currently centers on GitHub integration for private repository workflows
缺点：Self-hosting requires users to operate the infrastructure and configure their own model provider
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30-Day Click Trend
08-22
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