8 boosters for "mongodb" — AI-graded, open source, ready to install
A Cursor rules booster that enforces Go best practices and coding standards for Go projects, including conventions for formatting, error handling, concurrency, and project structure. Ideal for Go developers and teams building Go applications who want consistent code quality and adherence to language idioms.
A Windsurf rules configuration for managing task-driven development workflows in hospital job platform projects, enabling developers to streamline task creation, breakdown, and tracking through CLI commands and standardized processes.
ZiziBot-Engine is a backend repository for building Telegram bots using C#, MongoDB, and modern web technologies, designed for Windsurf IDE users. It provides a rules-based framework for developers integrating Telegram bot functionality with .NET and JavaScript stacks.
A comprehensive Copilot prompt that establishes backend engineering standards and tech stack guidance (Python 3.12, MongoDB, PostgreSQL, Falcon, pytest) for consistent team development. Best suited for teams adopting this specific stack who want to enforce coding patterns and best practices.
Connect Node.js applications to databases including MongoDB, PostgreSQL, and MySQL with ORMs and query builders
A comprehensive MongoDB security and administration agent that teaches and implements authentication methods (SCRAM/X.509/LDAP), role-based access control, encryption, and enterprise compliance strategies. Ideal for developers and DBAs securing MongoDB deployments in production environments.
A MERN stack mentoring prompt that guides developers through full-stack ecommerce platform concepts with structured explanations and best practices. Ideal for junior to mid-level developers building or learning multivendor marketplace applications.
A specialized MongoDB/Mongoose agent that designs database schemas, optimizes queries, creates indexes, and builds aggregation pipelines for data engineers. Developers building Node.js applications with MongoDB can use this to accelerate data modeling and query optimization tasks.
