PinnedThe Future of AI Agents is Event-DrivenAI agents promise autonomy and adaptability. Event-driven architecture provides the backbone for these systems to scale and evolve.Mar 12A response icon54Mar 12A response icon54
AI Agents Must Act, Not Wait: A Case for Event-Driven Multi-Agent DesignAI agents can’t scale with request/response — event-driven design is the key to real-world impact.1d agoA response icon11d agoA response icon1
A Data Scientist’s Guide to Data StreamingHow data scientists can use Kafka, Flink, and PyFlink to build real-time, AI-powered pipelines.Jun 24A response icon2Jun 24A response icon2
Agentic Mesh — The Future of Enterprise Agent EcosystemsAgentic mesh enables secure, scalable, and collaborative AI agents for the enterprise future.Jun 16A response icon5Jun 16A response icon5
What Conway, Ants, and Apache Kafka Can Teach Us About AI System DesignMulti-agent systems use simple agents to build reliable, scalable, and testable AI architectures.Jun 10Jun 10
Kafka, A2A, MCP, and Flink: The New Stack for AI AgentsFrom silos to systems: how A2A, MCP, Kafka, and Flink form the new stack for connected AI agents.May 29A response icon9May 29A response icon9
AI-Powered Product Recommendations with Oracle CDC, Flink, and MongoDBThis post shows how to turn Oracle data into real-time product recommendations using AI and streaming.May 27A response icon1May 27A response icon1
How Kafka, Flink, Databricks, and Neon Power the Modern Data Stack for AI AgentsA modern data stack for real-time AI agents using Kafka, Flink, Databricks, and Neon.May 20A response icon1May 20A response icon1
From Mainframes to AI Agents: The Long Journey to Truly Personal TechAI changes tech: software learns you, making experiences and interactions feel personal, not one-size-fits-all.May 13May 13
Real-Time Toxicity Detection in Games: Balancing Moderation and Player ExperienceReal-time AI moderates in-game chat to block toxicity without ruining banter, using Kafka, Flink, and Databricks.May 7May 7
