
Blocker-aware decision cards for AI coding agents and tech stack choices.
Visit PocketlanternPocketLantern is an open-source, blocker-aware decision layer for AI coding agents, providing source-linked, time-sensitive decision cards and blocker warnings across tech stack decisions like authentication, front-ends, databases, AI APIs, and more. It runs as an MCP (Model Context Protocol) server, enabling AI agents and developers to instantly access relevant facts and constraints for technology migrations, upgrades, and purchases with a local, fully structured knowledge base. Target users include developers using AI coding assistants (like Claude Code or Cursor) who need up-to-date, actionable insights to avoid technical pitfalls and stale training data.
Visit Pocketlantern's official website for product details and getting started.
Comprehensive guides and API reference for integrating and using PocketLantern.
Engage with other users and contributors about PocketLantern's features and usage.
Learn how to contribute to the PocketLantern project and join the open-source effort.