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Building a Containerized Quarkus API on AWS ECS/Fargate With CDK
Build production-ready Quarkus API on AWS ECS with CDK Infrastructure as Code. Includes database integration, caching, and comprehensive testing.
November 18, 2025
by Nicolas Duminil DZone Core CORE
· 4,770 Views
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From Symptoms to Solutions: Troubleshooting Java Memory Leaks and OutOfMemoryError
Learn to detect, isolate, and fix Java memory leaks and OutOfMemoryError with practical tips, tools, and heap dump analysis for better performance.
November 18, 2025
by Ram Lakshmanan DZone Core CORE
· 3,836 Views · 1 Like
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Beyond the Vibe: Why AI Coding Workflows Need a Framework
"Vibe coding" with AI improvising without a plan is fast but costly, leading to high rework, wasted money on tokens, and low-quality code.
November 17, 2025
by Akash Lomas
· 5,987 Views · 2 Likes
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Private AI at Home: A RAG-Powered Secure Chatbot for Everyday Help
Secure RAG chatbot built with Spring AI with local embeddings and PostgreSQL. Hosted on Linux PCs, it ensures privacy, context‑aware answers, reproducible deployments.
November 17, 2025
by Soham Sengupta
· 3,073 Views · 1 Like
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From Data Lakes to Intelligence Lakes: Augmenting Apache Iceberg With Generative AI Metadata on AWS
Build an AI-augmented data lake using Iceberg, Glue, and Bedrock to turn static metadata into searchable intelligence with semantic tags and AI summaries.
November 17, 2025
by Vivek Venkatesan
· 5,421 Views · 1 Like
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How Agentic AI Enhances API Testing
Agentic AI addresses API testing issues through test creation and maintenance, intelligent test coverage, and more. Here's how to prepare development workflows for AI.
November 17, 2025
by Zac Amos
· 2,942 Views · 3 Likes
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From Agent AI to Agentic AI: Building Self-Healing Kubernetes Clusters That Learn
Evolving from reactive Agent AI to autonomous Agentic AI: a self-healing Kubernetes system that learns from fixes and applies patterns automatically.
November 17, 2025
by Shamsher Khan DZone Core CORE
· 3,118 Views · 1 Like
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Evaluating AI Vulnerability Detection: How Reliable Are LLMs for Secure Coding?
Can AI spot real-world security bugs? Semgrep’s research compares LLMs on their ability to catch SQLi, XSS, and IDOR vulnerabilities.
November 14, 2025
by Jayson DeLancey
· 4,347 Views · 4 Likes
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Best Practices for Migrating Data From Legacy Systems With AI
In this article, I will share my experience with AI-powered data migration, including what worked well and key lessons learned along the way.
November 14, 2025
by Mykhailo Kopyl
· 3,060 Views · 4 Likes
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Exploring MCP, A2A, and Functional Calling: The Modern Innovations for Enterprise LLM Architecture
MCP, A2A, and functional calling are crucial for next-generation AI ecosystems. Learn more about integrating these approaches in your organizational AI strategies.
November 14, 2025
by Damodhara Reddy Palavali
· 1,633 Views · 1 Like
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Databricks vs Snowflake: Complete Architecture Mapping for Enterprise AI and Big Data
This guide maps core data, big data, and AI/ML concepts between Databricks and Snowflake, with examples, diagrams, and a framework for choosing or combining the two.
November 13, 2025
by Ram Ghadiyaram DZone Core CORE
· 6,908 Views · 7 Likes
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AI SDLC Transformation, Part 1: Where to Start?
Learn how to successfully adopt AI in software delivery by measuring transformation, starting small, and creating AI-ready processes and teams.
November 13, 2025
by Orkhan Gasimov
· 3,544 Views · 3 Likes
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When Memory Overflows: Too Many ApplicationContexts in Spring Integration Tests
Spring Boot makes integration testing incredibly convenient: you have the entire application up and running in your test. But sometimes you can see memory usage spikes.
November 13, 2025
by Constantin Kwiatkowski
· 4,255 Views · 7 Likes
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DocumentDB Goes Cloud-Native: Introducing the DocumentDB Kubernetes Operator
Deploy, manage, and scale DocumentDB on Kubernetes with the new open-source DocumentDB Operator — cloud-native, PostgreSQL-based, and MongoDB-compatible.
November 13, 2025
by Abhishek Gupta DZone Core CORE
· 2,939 Views · 2 Likes
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Facilitate AI-Human Architectural Thinking
Three pillars of the thinking framework: landscape view, decisional view, and structural view — an effective architectural modeling approach.
November 12, 2025
by Sean Gu
· 3,943 Views · 2 Likes
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How to Map PostgreSQL JSON Data Types in Java Using asentinel-orm
Convert between custom Java types and database types using the Spring framework's ConversionService, particularly for JSON entity attributes.
November 12, 2025
by Horatiu Dan DZone Core CORE
· 2,744 Views · 5 Likes
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From Developer to AI Teammate: Building an Agentic Automation Prototype
Transform repetitive developer workflows into an intelligent, AI-powered teammate using LangChain, retrieval-augmented generation (RAG), and lightweight automation loops.
November 12, 2025
by Sayan Chatterjee
· 1,771 Views · 2 Likes
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AI Code Refactoring: Principles, Techniques, and Benefits
Refactoring enhances code quality, performance, and maintainability using AI to automate improvements. Key principles are readability, modularity, and efficiency.
November 12, 2025
by Mitchell Jhonson
· 1,858 Views · 2 Likes
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A Growing Security Concern: Prompt Injection Vulnerabilities in Model Context Protocol Systems
Prompt injection can make AI assistants a privilege‑escalation risk. Learn attack patterns and layered defenses: isolation, sanitization, validation.
November 11, 2025
by Janani Annur Thiruvengadam DZone Core CORE
· 2,108 Views · 4 Likes
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Debugging Performance Regressions in High-Scale Java Web Services: A Systematic Approach
High-scale Java systems degrade quietly, minor regressions in GC, logging, or threads can cascade into latency and revenue loss.
November 11, 2025
by Karthik Puthraya
· 3,965 Views · 1 Like
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