See what your agents can do

Design an API pagination strategy with cursor vs offset analysis, deep pagination, sort stability, and streaming.

Your AI will deliver a pagination design with implementation details, edge case handling, and performance analysis.

Design a standardized API error contract with error codes, HTTP status mapping, validation formats, and monitoring.

Your AI will produce a complete error handling specification with schemas, code registries, and client integration guide.

Design an API versioning strategy with backward compatibility, deprecation policy, migration guides, and sunset timelines.

Your AI will produce a versioning policy with compatibility rules, deprecation workflows, and client migration guidance.

Design a WebSocket API with connection lifecycle, message protocol, rooms, heartbeat, reconnection, and scaling.

Your AI will produce a complete WebSocket API specification with message schemas, connection management, and scaling strategy.

Design a GraphQL schema with types, queries, mutations, DataLoader patterns, cursor pagination, and federation.

Your AI will produce a complete GraphQL schema with type definitions, resolver patterns, and N+1 prevention strategy.

Design a RESTful API with resource modeling, URL conventions, status codes, pagination, versioning, and error format.

Your AI will produce a complete REST API specification with endpoints, request/response schemas, and documentation.

Designs a graceful degradation strategy with circuit breakers, fallbacks, degradation tiers, bulkheads, and recovery detection.

Your AI will produce a resilience architecture that keeps your system usable even when dependencies fail.

Implements health checks with liveness/readiness probes, dependency checks, degradation signals, and synthetic monitoring.

Your AI will produce a health check system that enables reliable deployments, routing, and automated recovery.

Designs a configuration management system with environment variables, feature flags, validation, secrets, and documentation.

Your AI will produce a configuration architecture that is safe, validated, documented, and consistent across environments.

Designs an application logging strategy with structured formats, request tracing, audit logging, PII handling, and log rotation.

Your AI will produce a logging strategy that makes debugging fast, auditing reliable, and compliance achievable.

Designs a comprehensive error handling strategy with error taxonomy, custom classes, boundaries, reporting, and user messaging.

Your AI will produce an error handling architecture that improves debugging, user experience, and system reliability.

Builds a background job system with scheduling, priority queues, retry backoff, deduplication, and failure alerting.

Your AI will produce a background job architecture with reliable execution, observability, and graceful failure handling.

Designs a file storage system with upload handling, CDN delivery, image processing, access control, and virus scanning.

Your AI will produce a file storage architecture that is secure, performant, cost-optimized, and scalable.

Designs an event-driven architecture with event schemas, pub/sub topology, saga patterns, versioning, and consistency handling.

Your AI will produce an event-driven system design with clear contracts, reliable delivery, and eventual consistency guarantees.

Implements rate limiting with algorithm selection, per-user/endpoint limits, distributed enforcement, and graceful degradation.

Your AI will produce a rate limiting system that protects services from abuse while preserving legitimate user experience.

Designs a multi-layer caching strategy with invalidation, stampede prevention, TTL design, monitoring, and warm-up.

Your AI will produce a caching architecture that maximizes hit rates while preventing stale data and cache failures.

Designs a message queue system with queue selection, consumer patterns, retry strategy, dead letter handling, and monitoring.

Your AI will produce a message queue architecture that guarantees reliable, scalable asynchronous processing.

Architect a documentation site with navigation, versioning, search, API reference integration, and live code examples.

Your AI will deliver a documentation site architecture with information hierarchy, versioning, search, and interactive code examples.

Design an internal tool (admin panel, debug dashboard, or feature flag manager) that accelerates team productivity.

Your AI will deliver an internal tool architecture with role-based access, audit logging, and interfaces for common developer operations.

Set up a local dev environment with Docker Compose, hot reload, seed data, env vars, debugging, and troubleshooting guides.

Your AI will deliver a complete local development setup with containerized services, seed data, IDE config, and a troubleshooting guide.