CodeViz is a collaborative diagramming tool for software teams that ship. It provides a single clear view of code architecture to address the difficulty of understanding and maintaining large codebases.
The tool automatically analyzes large codebases across all major languages to generate a complete architecture model. Every element in the model is editable and links directly back to the source code. It produces stakeholder-ready views and supports on-demand contextual visualizations for specific workflows, API paths, or data flows, showing dependencies and data movement within the codebase. One shared architecture model serves the entire team, with options to branch proposed designs, publish tailored views, and store versions in Git for reviewability and traceability. Diagrams follow industry standards including C4 and UML.
CodeViz targets developers and engineering teams. It aims to improve productivity by speeding up pull request reviews through instant visualization of code changes, linking tickets to code visually for greater clarity, and enabling faster alignment on architecture. The product page reports usage by engineers at OpenAI, Anthropic, Google, Microsoft, Amazon, Netflix, Apple, and Nvidia, along with aggregate metrics of 70,000 developers, 10 hours saved monthly, and 40x ROI for larger codebases.
It is delivered as a web-based service with a VS Code extension and integrations for GitHub, Jira, Slack, and Figma. Users can schedule a demo or install a free version. The company behind it is EdisonLabs, Inc., located at 535 Broadway St, San Francisco, CA 94133.
CodeViz is a Developer Tools project. It focuses on helping software teams understand and document code architecture visually and collaboratively. CodeViz is a B2B product aimed at software development teams. There is a free tier. It runs on the web.
It is developed by CodeViz, and it first shipped in 2024. Development happens publicly on GitHub with 95 stars. Among its 5 catalogued features are code visualization, architecture modeling, and collaborative diagrams.
Summary written by a language model from the project’s public pages.
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