CodeViz | Visual codebase maps

Generates interactive visual maps of codebases by leveraging Anthropic LLMs to analyze code structure and produce Mermaid/Draw.io diagrams spanning from high-level architecture down to individual function calls. The extension processes code locally to generate embeddings, sends minimal context to Anthropic's API (with zero-day retention), and renders interactive webview diagrams where nodes link directly to source locations. Users can click any diagram element to jump to the corresponding code in the editor.

Accepts plain English questions about code structure and generates focused, contextual diagrams in response by routing queries through Anthropic's LLM. The extension maintains awareness of the user's current file context and produces diagram suggestions tailored to the query scope. Generated diagrams are rendered interactively in the webview with direct links to relevant source code sections.

Generates comprehensive, codebase-wide context summaries in a single click, formatted for consumption by downstream LLM-based tools (e.g., Copilot, Claude, custom agents). The extension analyzes the full codebase locally to extract relevant code snippets, architecture patterns, and dependency information, then produces a structured prompt or context block that can be copied and pasted into other AI tools without requiring those tools to re-analyze the codebase.

Enables direct navigation from generated diagram elements to source code by maintaining bidirectional links between diagram nodes and file locations. When a user clicks any node or connection in a Mermaid/Draw.io diagram rendered in the CodeViz webview, the extension automatically opens the corresponding source file and scrolls to the relevant function, class, or module definition. This is achieved through the extension's access to VS Code's editor API and file system context.

Exports generated codebase diagrams in multiple formats (Mermaid, Draw.io) to enable sharing and reuse across teams and tools. Mermaid diagrams are Markdown-compatible and can be embedded in documentation, GitHub READMEs, and wikis. Draw.io exports create editable diagram files that can be opened in Draw.io, Lucidchart, or other compatible tools. The extension handles format conversion and file generation locally without requiring external services.

Generates code embeddings locally within the VS Code extension process without transmitting raw code to external servers. The extension uses these embeddings to identify relevant code sections for diagram generation and context extraction. Embeddings are computed on-device using an unspecified embedding model, enabling semantic code analysis while maintaining code privacy. Only minimal processed context (not raw code) is sent to Anthropic's API for LLM analysis.

Provides explicit commands to regenerate architecture visualizations and diagrams on demand via the command palette (`CodeViz: Regenerate Architecture`). When triggered, the extension re-analyzes the codebase, recomputes embeddings, and regenerates all diagrams to reflect recent code changes. This enables users to keep visualizations in sync with evolving codebases without manual diagram updates.

Collects usage telemetry (error logs, webview open events, session replays, user queries) to improve the extension, with a binary toggle in extension settings to disable all telemetry. When enabled, telemetry is transmitted to CodeViz servers; when disabled, no usage data is collected. Notably, raw code and LLM prompts are explicitly NOT collected, and all data sent to Anthropic, GCP, and AWS has zero-day retention (deleted immediately after processing).

Automatically checks for and installs CodeViz extension updates in the background, with commands to disable or enable auto-updates (`CodeViz: Disable Auto Updates`, `CodeViz: Enable Auto Updates`). When auto-updates are enabled, the extension periodically checks for new versions and installs them without user intervention. Users can disable auto-updates to maintain a stable version or control update timing.