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Stateful Durable Objects for real-time apps, coordination, and persistent state management. \n \n SQLite-backed storage with 10GB capacity, SQL queries, and atomic transactions; KV backend available for simpler key-value use cases \n WebSocket hibernation API supports thousands of concurrent connections with automatic wake-up; message size limit increased to 32 MiB (Oct 2025) \n Alarms API for scheduling future tasks, batching, and cleanup without relying on setTimeout / setInterval \n RPC metho

Backend service development with long connections, multi-language support, and AI agent capabilities. \n \n Supports two modes: Function mode (Node.js, built-in HTTP/WebSocket/SSE, fixed port 3000, local running) and Container mode (any language/runtime via Docker, no local tool support) \n Requires stateless services that listen on the PORT environment variable and write data externally; resource constraints enforce Mem = 2 × CPU \n Includes read tools ( queryCloudRun ) for listing services and

Manage Twill Cloud Coding Agent workflows through the public v1 API. \n \n Create, list, retrieve, and manage tasks with support for custom branches, agent selection, and file attachments \n Stream job logs in real time via Server-Sent Events and cancel running jobs at any point \n Full lifecycle control: send follow-up messages, approve plans, archive tasks, and manage task state \n Schedule recurring coding tasks with cron expressions, timezone support, and pause/resume capabilities \n List re

Four MCP tools for safe SQL execution and security rule management on CloudBase Relational Database. \n \n Four tools cover all agent operations: executeReadOnlySQL for SELECT queries, executeWriteSQL for INSERT/UPDATE/DELETE/DDL, readSecurityRule to inspect permissions, and writeSecurityRule to update access controls \n Use MCP tools exclusively in agent context; do not initialize CloudBase SDKs when these tools are available \n Always run read-only SELECTs first to verify assumptions before de

Architects design workloads by integrating platform services, functionality, and code to meet both functional and nonfunctional requirements. To design effective workloads, you must understand these requirements and select topologies and methodologies that address the challenges of your workload's constraints. Cloud design patterns provide solutions to many common challenges.

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

Server-side identity and user lookup for CloudBase Node.js backends and cloud functions. \n \n Retrieve caller identity ( uid , customUserId , openId ) in cloud functions using getUserInfo() for authorization and personalization decisions. \n Query CloudBase user profiles by uid or login identifier (phone, email, username, custom ID) using getEndUserInfo() and queryUserInfo() . \n Issue custom login tickets from Node backends to bridge existing user systems into CloudBase without requiring separ

AWS KMS key management, encryption, and digital signing for Java applications with envelope encryption and Spring Boot integration. \n \n Covers key creation, encryption/decryption, envelope encryption for large data, digital signatures, and key rotation using AWS SDK for Java 2.x \n Includes synchronous and asynchronous client setup, Spring Boot service configuration, and IAM permission patterns \n Provides envelope encryption patterns to reduce KMS API calls and support data larger than 4KB li

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

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