Results for “async-api”

Build clean async pipelines with fp-ts TaskEither, replacing nested try/catch blocks with composable error handling and real API examples.

Provides Spring Boot architecture patterns for building scalable REST APIs, including layered services, data access, caching, async processing, and logging.

Applies senior Python rules for typing, async, APIs, persistence, tests, packaging, and architecture.

Applies TypeScript/JavaScript rules for types, async behavior, APIs, tooling, tests, and architecture.

Provides idiomatic C# and .NET patterns covering immutability, dependency injection, async/await, options, result, repository, middleware, and minimal API conventions for building maintainable applications.

Python asyncio - Modern concurrent programming with async/await, event loops, tasks, coroutines, primitives, aiohttp, and FastAPI async patterns

Provides production-oriented patterns for building FastAPI services, covering async endpoints, dependency injection, Pydantic schemas, OpenAPI customization, testing, and security best practices.

Expert in FastAPI Python development with best practices for APIs and async operations

FastAPI best practices covering project structure, Pydantic v2 schemas, dependency injection, async handlers, authentication, authorization, transactional service layers, and testing with httpx and pytest.

Use when implementing fastapi functionality with production-grade patterns and safeguards.

Provides production-grade FastAPI development patterns including project structure, Pydantic v2 schemas, dependency injection, async handlers, authentication, authorization, transactional service layers, and testing with httpx and pytest.

Consume APIs from the frontend with TanStack Query, fetch, or SWR, including caching, refetching, optimistic updates, and error handling.

Integrate REST APIs in Python using requests, httpx, or official SDKs, handling authentication, rate limiting, pagination, and errors.

Writes, debugs, and refactors JavaScript code using modern ES2023+ features, async/await patterns, ESM module systems, and Node.js APIs.

Write, review, debug, and test Python FastAPI applications with path operations, dependencies, Pydantic models, lifespan, middleware, background tasks, exception handling, and ASGI tests.

FastAPI best practices and conventions. Use when working with FastAPI APIs and Pydantic models for them. Keeps FastAPI code clean and up to date with the latest features and patterns, updated with new versions. Write new code or refactor and update old code.

Create FastAPI routers with CRUD operations, authentication dependencies, and proper response models following established patterns.

Follow best practices for asynchronous programming in C#, including naming, return types, exception handling, performance, and common pitfalls.

Scaffold, test, document, and debug REST and GraphQL APIs from the command line, including curl testing, OpenAPI spec generation, mocking, and troubleshooting.

Provides RESTful API design patterns and best practices for creating endpoints, designing APIs, and implementing routes.

Idiomatic C# and .NET patterns, conventions, dependency injection, async/await, and best practices for building maintainable .NET applications.

Provides RESTful API design patterns and best practices for creating endpoints, designing APIs, and implementing routes.

Enforces production-grade Python and AI engineering standards for FastAPI, LangChain/LangGraph, RAG pipelines, and LLM integrations, covering type safety, error handling, testing, and security.

Write, create, modernize, or fix comprehensive MSTest unit tests with MSTest 3.x/4.x APIs, covering assertions, data-driven tests, lifecycle, and async patterns.

Guides adding new Electron APIs to Wave Terminal, covering TypeScript types, preload exposure, IPC handlers, and preview stubs for sync, async, fire-and-forget, and event-listener patterns.

Creates or updates Salesforce metadata components at runtime from Apex using the Metadata namespace, including custom fields, objects, picklist values, and labels, with asynchronous deployment and callback handling.

Provides Quarkus 3.x architecture patterns for cloud-native, event-driven services with Apache Camel, including REST API design, CDI services, data access with Panache, and async processing.

Provides Quarkus 3.x architecture patterns for building cloud-native, event-driven services with Apache Camel, covering REST APIs, CDI services, data access with Panache, async processing, and logging.

Modernizes legacy scripts (bash, Node, Python) by replacing deprecated APIs, adding error handling, converting callbacks to async/await, and improving maintainability. Turns brittle one-off scripts into reliable, documented tools.

Migrate AEM replication code from legacy CQ Replicator and Sling Replication Agent APIs to the Sling Distribution API for AEM as a Cloud Service, covering agent selection, async handling, and service-user setup.