Model Context Protocol enables intent-driven GitHub workflows in the IDE, replacing command sequences with safe, structured natural language interactions.
Learn how to size GPU capacity, batching, and concurrency for strict latency SLOs in production-ready LLM inference with this analysis of queuing theory applications.
Vector search is not "just OpenSearch." It just needs to be run as a platform with SLAs, governance, and quotas to control drift, leaks, and out-of-control costs.
Explore Google Gemini 3 API’s architecture, native multimodality, and agentic workflows with a hands-on guide to building a production-ready multimodal AI.
At-least-once delivery keeps data flowing, but retries can duplicate effects, corrupting timelines. Reliability comes from replay-safe consumers and controlled effects.
In the rush to automate everything, we forgot the most important API: the human operator. Here is an architectural pattern using Gen AI to fix broken documentation.
How cloud-native microservices transform insurance analytics by enabling scalability, real-time processing, and seamless modernization of legacy platforms.
Traditional "Citizen Development" initiatives often fail due to skill gaps and lack of support. Here's a pattern for democratizing development by using GenAI APIs.
Scaling agentic AI requires platform-level design: robust messaging, memory, model orchestration, prompts, agent meshes, and safety guardrails, not just better models.