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.
AI initiatives fail for the same reasons Agile transformations did: The majority of failures result from people, culture, and processes, not technology.
Presents a slightly different use of WebSockets — an action is taken at the front-end level when the HTTP session expires, and the back-end signals it.
DFIR-Chain automates forensic triage by combining Volatility, YARA, and LLMs to turn artifacts into coherent incident narratives in minutes, not hours.
Traditional scraping is brittle. Learn to architect self-healing, AI-powered data pipelines using Playwright, AWS Bedrock, and Pydantic for semantic extraction.