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Interface with 100+ LLM providers (OpenAI, Anthropic, Bedrock, Azure, VertexAI, Groq, etc.) using a unified API format

Generates comprehensive documentation for Rust traits, covering shared behavior, polymorphism, trait bounds, and implementation patterns with practical examples.

Expert guidance on Python's contextlib module and context manager patterns for resource management with the with statement.

Master Go concurrency patterns using goroutines, channels, and pipeline architectures with proper cancellation

Expert guidance on using Python's pathlib module for object-oriented filesystem path manipulation

Generate Python dataclasses with type hints, default values, and automatic method generation for structured data modeling

Expert guidance on TypeScript decorators including class, method, property, accessor, and parameter decorators with practical examples and patterns.

Generate TypeScript mapped types that transform object types using property mapping, modifiers, and key remapping patterns.

Generate Astro framework documentation and project guides

Generate fullstack data flow patterns for Remix applications using loaders, actions, and forms with automatic UI sync

Generate Angular components with proper structure, selectors, templates, and lifecycle hooks following Angular v21+ best practices

Build custom API endpoints using Next.js App Router route handlers with Web Request/Response APIs

Generate reusable Vue 3 composable functions following best practices from official Vue documentation

Implement Next.js middleware (proxy.js) for request interception, authentication, redirects, and request/response modification before routes render.

Expert guide for optimizing Next.js applications including images, fonts, scripts, and metadata configuration

Generate comprehensive documentation about Next.js caching mechanisms including request memoization, data cache, full route cache, and router cache with configuration examples.

Generate Next.js data fetching patterns with Server Components, fetch API, caching strategies, and streaming. Supports ORM integration, client-side fetching, and performance optimization.

Create, test, evaluate, and deploy production-quality LLM applications using Microsoft's Prompt Flow framework. Build executable flows that link LLMs, prompts, Python code, and tools together with built-in tracing, evaluation, and deployment capabilities.

Guide on when to use and avoid useEffect in React applications. Learn patterns for state management, caching, and event handling.

Use txtai framework for semantic search, LLM orchestration, RAG pipelines, and AI agents with vector databases and multi-model workflows