Contract Testing
What contract testing is, how it verifies service integration agreements, and when to use it instead of end-to-end tests.
What contract testing is, how it verifies service integration agreements, and when to use it instead of end-to-end tests.
The foundational pattern: user input goes to a model API, model response comes back. When this is enough and when you need something more.
Comparing FastAPI and Flask for building AI model serving APIs and backend services, covering performance, developer experience, and …
What gRPC is, how Protocol Buffers and streaming RPCs work, and why gRPC is well-suited for high-performance ML inference services.
Comparing gRPC and REST for serving AI models in microservice architectures, covering performance, developer experience, and ecosystem …
OAuth is an open standard for delegated authorization, originating from Blaine Cook and Chris Messina's work at Twitter in 2006-2007 and …
A comprehensive reference for the OpenAI API: GPT models, embeddings, function calling, and integration patterns for enterprise AI …
What semantic versioning is, how MAJOR.MINOR.PATCH communicates change impact, and best practices for versioning APIs and models.
What Sessionize is, how it manages conference call-for-papers, speaker profiles, and schedule generation, and how its API enables …
Enabling LLMs to invoke external tools and APIs through function calling, extending model capabilities beyond text generation.
Webhooks are user-defined HTTP callbacks that deliver real-time event notifications between web applications, a term coined by Jeff Lindsay …
What WebSockets are, how they enable real-time bidirectional communication, and why they are used for streaming LLM token delivery to …
What an API is, REST vs GraphQL vs gRPC, authentication patterns, rate limiting, and how AI services are accessed through standardized API …
Exponential backoff with jitter, retry budgets, and idempotency patterns for production AI systems. Why AI services require different retry …
Handling model failures gracefully in production AI systems: fallback strategies, degraded mode operation, retry with backoff, and …