CursorLens for Web

CursorLens — AI-enabled coding dashboard

CursorLens is an open-source web application built to speed up development workflows by adding AI-powered assistance and observability. It sits alongside the Cursor.sh Integrated Development Environment and offers a central place to inspect how AI-generated suggestions are produced, measure usage, and control connected models. The app is suitable for personal local installs as well as deployment in hosted environments, making it adaptable to different team setups.

Notable capabilities

• Built-in caching for Anthropic integrations to lower latency and control API usage.
• A unified dashboard that surfaces AI suggestion history and generation insights.
• Usage analytics and activity tracking so teams can see who used AI features and when.
• Tools for handling multiple AI models and adjusting their settings from one interface.

Deployment choices

• Self-hosted: run CursorLens locally or inside your own infrastructure for full control and privacy.
• Hosted option: use a managed instance if you prefer an out-of-the-box experience without local setup.

Suggested alternative solution

Coddy (subscription-based) — a recommended commercial substitute that provides comparable AI-assist features and simplified billing, suitable for teams that want a managed experience with support and additional integrations.

Quick start guide

1. Clone the project from its GitHub repository to your machine.
2. Install dependencies and configure environment variables (API keys, cache settings).
3. Enable or customize Anthropic caching if you want reduced API calls and faster responses.
4. Launch the development server or follow the hosted deployment instructions to get the dashboard running.

Maintenance and updates

The project receives regular updates to add features and keep compatibility with evolving AI services. Monitor the repository for releases, security patches, and changelogs to ensure your installation remains current and reliable.