backend▌

Generate AI images and videos with multiple model options, custom trained models, editing, and upscaling via LetzAI API. \n \n Supports three image models (Nano Banana Pro, Flux2 Max, SeeDream) and three video models (VEO, Kling, Wan) with configurable resolution modes and dimensions \n Includes context-based image editing, skin fixing, and upscaling with strength control (1-3x) \n Custom trained models for persons, objects, and styles accessible via @modelname syntax in prompts \n Asynchronous

Generate professional API documentation that developers can use to integrate with your API, including endpoint specifications, authentication, request/response examples, and interactive documentation.

Production-ready Python backend patterns for FastAPI, SQLAlchemy, and Upstash integrations. \n \n Covers async-first REST API development with FastAPI, including dependency injection, Pydantic validation, and structured project organization \n Implements authentication patterns for JWT/OAuth2, password hashing, CORS, and API key management \n Provides SQLAlchemy async database setup with transactions, eager loading, and migration strategies \n Includes Redis/Upstash caching, rate limiting with s

freee accounting, HR, invoicing, project management, and sales API access through MCP with detailed references and operation guides. \n \n Provides MCP tools for OAuth authentication, company management, and five service APIs: accounting (deals, expenses), HR (employees, attendance), invoicing (invoices, quotes), project management (projects, timesheets), and sales (opportunities, orders) \n Includes API reference documentation for major endpoints (deals, expense applications, employees, attenda

Automatically generate comprehensive API documentation from your codebase with endpoints, examples, and best practices. \n \n Analyzes REST, GraphQL, and WebSocket APIs to extract endpoints, parameters, authentication, and error patterns \n Generates endpoint documentation with request/response specifications, code examples in multiple languages (cURL, JavaScript, Python), and error handling details \n Produces OpenAPI/Swagger specifications and Postman collections for interactive testing and AP

Cloud file storage management with granular permission and sharing controls. \n \n Supports 20+ actions covering files, folders, shared drives, permissions, comments, and change tracking \n Handles authentication automatically through Membrane CLI; no manual API key management required \n Includes direct API proxy access for use cases beyond pre-built actions, with automatic credential refresh and header injection \n Works with individual files and shared drives, enabling both metadata operation

Expert knowledge for testing HTTP APIs with Supertest (TypeScript/JavaScript) and httpx/pytest (Python).

Unified interface for Gemini models and agents with server-side state, streaming, and tool orchestration. \n \n Supports multiple current models (gemini-3-flash-preview, gemini-3-pro-preview, gemini-2.5-flash/pro) and the Deep Research agent; automatically substitute deprecated model IDs with current alternatives \n Offload conversation history to the server via previous_interaction_id for stateful multi-turn interactions without manual history management \n Built-in tool orchestration including

Comprehensive guide to asyncio, concurrent patterns, and async/await for building high-performance, non-blocking Python applications. \n \n Covers core concepts (event loops, coroutines, tasks, futures) and 10+ fundamental and advanced patterns including concurrent execution, error handling, timeouts, context managers, and producer-consumer workflows \n Includes real-world examples for web scraping with aiohttp, async database operations, and WebSocket servers \n Provides performance best practi

Guidelines by Alberto Basalo for developing clean NestJS APIs using TypeScript. These rules emphasize strong typing, clean code principles, and architectural best practices.