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Architectural patterns, API design, and database optimization for Node.js, Express, and Next.js backends. \n \n Covers repository, service, and middleware layers for clean separation of concerns; includes REST API structure with resource-based URLs and query parameters \n Database patterns include N+1 prevention, query optimization, transactions, and caching strategies (Redis, cache-aside) \n Error handling with centralized handlers, retry logic with exponential backoff, and structured logging f

Structured logging, metrics, and distributed tracing patterns for Python production systems. \n \n Covers four core observability areas: structured JSON logging with structlog, Prometheus metrics for the four golden signals (latency, traffic, errors, saturation), correlation ID propagation across service boundaries, and OpenTelemetry distributed tracing \n Includes semantic log level guidance, bounded cardinality rules for metrics to prevent storage explosion, and context manager patterns for co

Multi-platform competitor analysis via Apify Actors for Google Maps, Booking.com, Facebook, Instagram, YouTube, and TikTok. \n \n Covers 25+ specialized Actors across seven platforms, each optimized for specific analysis types: business data extraction, review comparison, ad strategy monitoring, content performance, and audience insights \n Requires Apify token, Node.js 20.6+, and the mcpc CLI tool to fetch Actor schemas and run analyses dynamically \n Supports three output formats: quick chat d

Real-time bidirectional streaming with Gemini over WebSockets for audio, video, and text conversations. \n \n Supports audio input/output (16 kHz PCM), video frames, text, and automatic transcriptions with voice activity detection for interruption handling \n Includes native audio features: affective dialog, proactive audio, and thinking mode; function calling for synchronous and asynchronous tool use; and Google Search grounding \n Offers session management with context compression, resumption,

Multi-platform lead scraping from Google Maps, social media, websites, and search engines. \n \n Supports 16+ Actors covering Google Maps, Instagram, TikTok, Facebook, YouTube, LinkedIn, Google Search, and contact enrichment \n Dynamically fetches Actor schemas via mcpc CLI to determine required and optional input parameters before execution \n Outputs results as quick chat summaries, CSV, or JSON files with configurable result limits \n Requires APIFY_TOKEN in .env file and Node.js 20.6+ for en

Multi-platform content analytics via Apify Actors for Instagram, Facebook, YouTube, and TikTok. \n \n Supports 17+ specialized Actors covering posts, reels, stories, comments, hashtags, followers, and ads across all four platforms \n Dynamically fetches Actor schemas using mcpc CLI to determine required inputs and available output fields \n Outputs results in three formats: quick chat display, CSV export, or JSON export with customizable result counts \n Requires Apify token in .env file and Nod

Modern Python package creation with pyproject.toml, setuptools, and PyPI publishing. \n \n Covers source layout (recommended), flat layout, and multi-package project structures with complete pyproject.toml examples \n Supports CLI tools via Click or argparse with entry point configuration, dynamic versioning, and namespace packages \n Includes build, distribution, and automated publishing workflows for PyPI with GitHub Actions integration \n Provides patterns for data files, C extensions, editab

Comprehensive testing strategies for JavaScript/TypeScript using Jest, Vitest, and Testing Library. \n \n Covers unit testing, integration testing, and component testing with patterns for pure functions, classes, async code, and React hooks \n Includes mocking strategies: module mocking, dependency injection, and spying on functions for isolated test execution \n Provides API and database integration test examples with real request/response handling and transaction cleanup \n Supports snapshot t

JavaScript/TypeScript SDK for running AI apps, building agents, and integrating 150+ models. \n \n Supports running AI apps with basic execution, fire-and-forget, and streaming progress modes; includes automatic file upload and stateful sessions to keep workers warm across calls \n Agent SDK enables both template-based agents from your workspace and ad-hoc agents with custom tools, system prompts, and temperature control \n Tool builder API provides four tool types: client tools (run in your cod

Javadoc best practices for documenting Java types, methods, and members. \n \n Public and protected members require Javadoc comments; package-private and private members are encouraged, especially for complex code \n Use standard tags: @param for parameters, @return for return values, @throws for exceptions, @see for cross-references, and @since for version tracking \n First sentence serves as summary description and should end with a period; parameter descriptions start lowercase without period