Naiad Lens

What is Naiad Lens?

Naiad Lens is a powerful plugin for JetBrains IDEs designed to help developers understand complex codebases more efficiently. It automatically generates live, interactive diagrams of code, ranging from class-level relationships to complete system maps. The platform aims to eliminate the time wasted jumping between files, accelerate the onboarding process for new team members, and help identify critical bugs hidden in unfamiliar code flows. It provides a visual representation of code, making it easier to navigate, debug, and understand the architecture of any project.

How to use Naiad Lens

Users can get started by installing the Naiad Lens plugin directly from the JetBrains marketplace. Once installed, the plugin operates within the IDE, allowing users to generate diagrams from their code. It offers AI-assisted diagramming, enabling users to request specific diagrams via a chat interface. Diagrams are interactive, allowing users to click on nodes to jump directly to the corresponding line of code. The service offers a simple, transparent pricing model, including a free tier, with details available on their pricing page.

Naiad Lens's core features

Generates live, interactive diagrams inside JetBrains IDEs

Scales from file-level relationships to complete system architecture maps

Interactive exploration: click diagram nodes to jump to exact lines of code

AI-assisted diagramming: generate custom diagrams via chat interface

Includes 12 diagram presets for both file-scoped and architecture-scoped views

Diagrams are always in sync with the latest code commits

Supports multiple programming languages including Java, Kotlin, Python, Go, JS, and TypeScript

Use cases of Naiad Lens

Onboarding new team members quickly by providing visual architecture diagrams of complex systems

Debugging code faster by visually tracing bugs across multiple services instead of manually juggling files

Gaining confidence before shipping changes by visualizing the full impact of modifications

Understanding unfamiliar or legacy codebases without spending hours navigating files

Identifying missed edge cases and hidden code flows that could lead to critical bugs

Navigating large, multi-file repositories more efficiently