cloud▌

AWS Lambda function invocation, management, and Spring Boot integration using AWS SDK for Java 2.x. \n \n Supports synchronous and asynchronous Lambda invocation with JSON payload serialization and typed response parsing \n Covers function lifecycle operations: create, update, delete, list, and retrieve configurations including environment variables and concurrency settings \n Includes Spring Boot integration patterns with bean configuration, service abstractions, and type-safe Lambda invoker se

Scaffold a new Terraform provider using the Plugin Framework. \n \n Generates a new Go module workspace with the standard \"terraform-provider-\" naming convention and initializes required dependencies \n Provides a template main.go file following HashiCorp's Plugin Framework patterns, with TODO markers for customization \n Validates the setup by running build and test commands to ensure the provider compiles and passes initial checks \n Handles workspace management by confirming intent before c

Deploy applications and infrastructure to Cloudflare using Workers, Pages, and platform services. \n \n Covers 40+ Cloudflare products organized by use case: compute (Workers, Pages, Durable Objects, Workflows), storage (KV, D1, R2, Queues), AI/ML (Workers AI, Vectorize, Agents SDK), networking (Tunnel, Spectrum), and security (WAF, Bot Management, Turnstile) \n Includes decision trees to route users to the right product based on their need (run code, store data, add AI, networking, security, or

Deploy static sites and serverless APIs to Azure with local development emulation and CLI automation. \n \n Provides local emulator ( swa start ) with API proxy, authentication simulation, and framework auto-detection for React, Vue, Angular, Next.js, and others \n Supports Azure Functions backends with Node.js, Python, and .NET runtimes; configure via staticwebapp.config.json for routes, auth rules, and headers \n Includes deployment workflow: swa init (auto-detects framework), swa build , swa

Infrastructure as code implementation across AWS, Azure, and GCP with modular design and state management. \n \n Covers module development, state backend configuration with locking and encryption, provider setup, and multi-environment workflows \n Enforces validation, semantic versioning, and security constraints; includes error recovery patterns for state drift, auth failures, and dependency issues \n Provides structured workflows: analyze requirements, design composable modules, configure remo

Category: test

Category: test

Recommend Azure VM sizes, scale sets, and configurations based on workload requirements and budget. \n \n Analyzes workload type, performance needs, scaling requirements, and cost to suggest 2–3 VM or VMSS options with trade-offs \n Verifies recommendations against live Microsoft documentation; falls back to reference files if fetch fails \n Queries the unauthenticated Azure Retail Prices API for current pricing without requiring an Azure subscription \n Guides VM vs VMSS decision through a deci

Build and deploy GitHub Copilot SDK applications to Azure with flexible model configuration. \n \n Three scaffolding paths: create new greenfield projects, add SDK services to existing repos, or deploy existing SDK apps with Azure infrastructure \n Supports three model configurations: GitHub's default models, specific GitHub models via discovery, or bring-your-own-model (BYOM) on Azure with DefaultAzureCredential authentication \n Includes complete templates with Express/TypeScript API, React/Vi

Configure Azure API Management as an AI Gateway for models, MCP tools, and agents with built-in governance policies. \n \n Supports semantic caching (60-80% cost savings), token rate limiting, content safety filtering, and jailbreak detection across AI backends \n Add Azure OpenAI, AI Foundry models, or convert existing APIs to MCP tools as managed backends with load balancing \n Includes five core policy categories: authentication, semantic cache lookup, token limits, content safety, and token