This blog provides a tutorial on how to integrate AI agents, specifically MCP agents, into your coding workflow using the DevoxxGenie plugin for JetBrains IDE.
Devs add third-party SDKs to their apps, like installing pre-built windows in houses, that may include manufacturers' hidden cameras, collecting data from inside the app.
Learn how to create a team chat application using Spring Boot and LangChain4j, featuring two AI assistants that communicate both with you and with each other.
Multi-cloud brings resilience but also complexity, drift, security, and cost challenges. IaC, automation, and unified monitoring turn it into an advantage.
MCP makes AI integration easy but opens new security risks-like shadow servers, prompt hijacking, and connector exploits. Learn how to secure your AI-powered workflows.
SQL Server ledger tables ensure data integrity: insert-only tables block updates, while updatable ones log every change. Learn how each handles updates.
This guide covers AI infrastructure, from hardware acceleration and model serving to monitoring and security, with tools, patterns, and strategies proven in production.
October 2, 2025
by Vidyasagar (Sarath Chandra) Machupalli FBCS
CORE
A resilient marketing data stack on GCP leverages BigQuery, Pub/Sub, and Dataflow to deliver real-time insights, handle schema drift, and scale analytics.
In this guide, learn to use Salesforce Data Cloud Ingestion API for real-time and bulk data ingestion to deliver accurate, personalized customer experiences.
CORE
