Nogic transforms a codebase into an interactive semantic graph that can be explored within supported IDEs and queried via its Model Context Protocol server. The platform provides a CLI for indexing source files, a cloud‑hosted graph database, and 22 context‑aware tools for semantic search, duplicate detection, naming‑convention analysis, and call‑graph impact assessment, enabling developers and AI coding assistants to navigate and reason about large codebases more efficiently.
Funding
Funding not disclosed
Founders
Product
Problem
Developers and AI coding assistants must work with flat file hierarchies that hide module dependencies, naming conventions, and call relationships, making code navigation, reuse, and automated reasoning inefficient and error‑prone.
Solution
Nogic converts a codebase into a live semantic graph that can be explored visually inside supported IDEs (VS Code, Cursor, Windsurf, etc.) and queried programmatically via its Model Context Protocol (MCP) server. The IDE extension replaces the traditional file tree with an interactive graph editor, enabling developers to pan, zoom, and select nodes representing files, classes, functions, and services. The CLI indexes source files, builds the graph, and syncs it to Nogic’s cloud database, while the MCP server exposes 22 context‑aware tools (e.g., before_writing, find_symbol, get_references, assess_impact) for AI agents such as Claude Code. This unified representation delivers semantic search, duplicate detection, naming‑convention analysis, and real‑time call‑graph exploration, reducing cognitive load and improving code quality for both humans and AI.
Target Audience
The primary users are software engineers and development teams who need a navigable, relationship‑aware view of large codebases, as well as AI‑augmented development platforms that require structured code context for accurate assistance.
Features
- IDE extension with an interactive graph editor that visualizes code entities and their relationships, supporting keyboard navigation and drag‑drop editing.
- CLI that parses supported languages (Python, JavaScript/TypeScript, JSX/TSX), generates a normalized semantic graph, and syncs it to a cloud‑hosted graph database.
- MCP‑compliant server exposing 22 fine‑grained tools (before_writing, find_similar, find_symbol, get_references, get_dependencies, assess_impact, etc.) for real‑time AI queries.
- Built‑in semantic search and duplicate detection that surface existing implementations based on natural‑language descriptions.
- Automatic convention detection that extracts project‑wide naming patterns (camelCase, snake_case, PascalCase) for consistent code generation.
- Call‑graph explorer that visualizes upstream/downstream dependencies and assesses modification impact with blast‑radius analysis.
- RESTful API with FHIR‑style authentication, supporting integration with Claude, Cursor, Windsurf, and other AI coding assistants.
- Multi‑editor support via Open VSX, enabling deployment across a range of development environments.