Plugins

2 plugins

Results for “async”

17 skills
More results
dotnet
writing-mstest-tests
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.
4k
github
qdrant-memory-usage-optimization
Diagnoses and reduces Qdrant memory usage by analyzing resident memory, page cache, and providing optimization techniques like quantization, on-disk storage, and async_scorer.
36.2k
vuejs-ai
vue-debug-guides
Diagnose and fix Vue 3 runtime errors, warnings, async failures, and SSR/hydration issues with targeted debugging guides.
2.7k · bundle
microsoft
azure-cosmos-py
Perform CRUD operations, run queries, and manage containers on Azure Cosmos DB NoSQL API using the Python SDK.
2.7k · bundle
microsoft
azure-storage-blob-py
Upload, download, list, and manage blobs and containers in Azure Blob Storage using the Python SDK with best-practice authentication via DefaultAzureCredential.
2.7k
trailofbits
rust-review
Audits Rust codebases for safe/unsafe boundary issues, memory safety in unsafe blocks, concurrency hazards, panic-induced DoS, FFI safety, and async runtime mistakes.
6k
github
javascript-typescript-jest
Provides best practices for writing JavaScript/TypeScript tests using Jest, including test structure, mocking strategies, async testing, snapshot testing, and React component testing.
36.2k
huggingface
hf-cloud-sagemaker-production-defaults
Creates SageMaker endpoints (real-time or async) with autoscaling, CloudWatch alarms, and tagging enabled by default, then smoke-tests them before declaring success.
10.8k · bundle
microsoft
azure-eventgrid-py
Publish events to Azure Event Grid using CloudEvents or EventGridEvent schemas, with support for sync and async clients, namespace topics, and DefaultAzureCredential authentication.
2.7k
adobe
replication
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.
142
huggingface
hf-cloud-sagemaker-deployment-planner
Plans and coordinates the deployment of a model to Amazon SageMaker AI, selecting the appropriate pathway (real-time, serverless, async, batch, or Bedrock CMI) based on model type, traffic, latency, and cost constraints.
10.8k