Your Visual Code Encyclopedia
Transform any codebase into a navigable knowledge graph. Understand architecture through semantic exploration.
Navigate Code. Understand Context.
Lost in unfamiliar code costs hours. Viki maps the connections—structure, meaning, and intent—so you can navigate with confidence.
Semantic Knowledge Graph
Code as connected concepts, not scattered files. AST parsing extracts structure while embeddings capture meaning. Navigate by intent.
Contextual Summaries
Every function and module summarized with business context. Not “this loops through X”—but what it actually does and why it matters.
Instant Semantic Search
Search by concept, not keywords. Vector similarity finds related code across your entire codebase in milliseconds.
From Repository to Knowledge Graph
Point Viki at any Git repository. We handle the parsing, indexing, and graph generation automatically.
Connect Your Repository
Local or remote, any Git repo works. We clone and index without touching your workflow or requiring any configuration.
Parse & Index Structure
Tree-sitter extracts AST nodes. LLMs generate semantic summaries. pgvector indexes embeddings for instant retrieval.
Explore the Graph
Drill down from high-level architecture to implementation details. Click through nodes to navigate the semantic hierarchy.
Built For Engineers Who Value Their Time
Whether you’re diving into legacy code or helping a new hire get up to speed, Viki accelerates understanding.
Individual Developers
Understand unfamiliar codebases in minutes. Jump into any project—open source, client work, or inherited systems—with confidence.
Engineering Teams
Share architectural knowledge without relying on tribal expertise. Keep documentation that actually stays current with the code.
Onboarding New Hires
Get developers productive on day one. Visual navigation beats reading outdated wikis or interrupting senior engineers.
Follow the Journey
Be the first to know when Viki launches. Get early access and product updates.