Latest Articles

Identity in Action

A practical guide to SSO migration covering risks, MFA, phased rollout, and governance to ensure secure identity transitions without disruption.

June 3, 2026

by Kapil Chakravarthy Sanubala

· 3,450 Views · 5 Likes

Getting Started With Agentic Workflows in Java and Quarkus

A step-by-step tutorial on how to add agentic workflows to Quarkus applications with the Agentican framework via YAML and annotations.

June 3, 2026

by Shane Johnson

· 3,425 Views · 5 Likes

Build a GitHub Slack Bot With AWS Bedrock and MCP, Part 1

Building a Slack bot with traditional APIs led to 400 lines of code. Using MCP and AWS Bedrock reduced complexity, enabling scalable, tool-driven automation.

June 3, 2026

by Sangharsh Agarwal

· 3,436 Views · 2 Likes

Building AI-Powered Java Applications With Jakarta EE and LangChain4j

Integrate AI into Java apps with Jakarta EE, CDI, MicroProfile Config, and LangChain4j. Build AI services from simple prompts to type-safe domain-driven interactions.

June 3, 2026

by Otavio Santana

CORE

· 4,672 Views · 2 Likes

Compliance Automated Standard Solution (COMPASS), Part 10: How OSCAL Mapping Paves the Way for Continuous Compliance Scalability

Mapping Model is the missing architectural layer that transforms multi-framework compliance from exponential complexity to a linear scale.

June 3, 2026

by Vikas Agarwal

· 2,772 Views

Securing the AI Host: Spring AI MCP Server Communication With API Keys

Part 2 of a step-by-step tutorial that integrates an AI assistant with two dedicated MCP servers and secures the communication.

June 3, 2026

by Horatiu Dan

CORE

· 2,857 Views · 3 Likes

MuleSoft MCP and A2A in Production: What 17 Recipes Reveal

MuleSoft MCP and A2A shipped in 2025. Zero practitioner guides exist beyond basic setup. 17 recipes reveal the implementation ladder teams are missing.

June 3, 2026

by Balachandra Shakar Bisetty

· 1,653 Views

Using LLMs to Automate Data Cleaning and Transformation Pipelines

Data cleaning is brittle and time-consuming; LLMs introduce a semantic layer that makes workflows more resilient and easier to maintain.

June 3, 2026

by David Taiwo Balogun

· 3,733 Views · 4 Likes

Multi-Scale Feature Learning in CNN and U-Net Architectures

Multi-scale feature learning helps CNNs and U-Net models combine global context with fine details, improving accuracy in tasks like image segmentation.

June 3, 2026

by Akhil Madineni

CORE

· 2,015 Views · 2 Likes

7 Technology Waves I’ve Seen in 30 Years of Software — Will AI Be the Next Real Transformation?

Every major software wave added new business capabilities. AI’s real impact will come when it powers adaptive, intelligent business systems — not just faster development.

June 2, 2026

by Tribhuwan Bisht

· 4,447 Views · 5 Likes

The Missing `bandit` for AI Agents: How I Built a Static Analyzer for Prompt Injection

Static analysis for LLM agents that flags prompt-injection risks—like confused deputy flows and dynamic prompts—before runtime, improving security and auditability.

June 2, 2026

by Sanjay Krishnegowda

· 2,639 Views · 2 Likes

Why Stable RAG Answers Can Still Hide Unstable Evidence

RAG answers can stay stable while evidence shifts. Learn why evidence stability matters for reproducibility, auditability, and debugging — and how to check it.

June 2, 2026

by Punitha Ponnuraj

· 2,215 Views

When Snowflake Lies to You: Understanding False Failures in dbt Pipelines

Your pipeline failed. Your code is fine. This article will walk you through why both things can be true at the same time.

June 2, 2026

by Janani Annur Thiruvengadam

CORE

· 2,506 Views · 1 Like

Migrate a Hardcoded LangGraph Agent to LaunchDarkly AI Configs in 20 Minutes

Moving a hardcoded LangGraph React agent into LaunchDarkly AI Configs so prompts, models, tools, tracking, and rollout testing can be changed without redeploying.

June 2, 2026

by Scarlett Attensil

· 3,402 Views

Stop Debugging Glue Jobs Manually: Building an Agentic Observability Layer for Data Pipelines

Glue failures scatter evidence across logs, metadata, and table state. A triage layer pulls it together and flags whether a rerun is safe.

June 2, 2026

by Vivek Venkatesan

· 2,841 Views · 1 Like

Building a Spring AI Assistant With MCP Servers: A Step-by-Step Tutorial

Part 1 of a step-by-step tutorial that integrates an AI assistant with two dedicated MCP servers and sets the foundation for going to production.

June 2, 2026

by Horatiu Dan

CORE

· 2,607 Views · 4 Likes

Alternative Structured Concurrency

My goal here is to experiment with an alternative approach leveraging Java's tried-and-tested, robust functionalities that have been available since JDK 1.5.

June 2, 2026

by Valery Silaev

· 3,186 Views

When One MVP Is Really Four Systems: A Better Way to Plan Multi-Role Apps

Many MVPs get too big because teams treat several user-facing systems and vendor-dependent workflows as one app instead of planning one complete path first.

June 2, 2026

by Kajol Shah

· 2,226 Views · 1 Like

5 AI Security Incidents That Broke Things in Production (and What They Have in Common)

Five real incidents from late 2025 and early 2026 show what happens when automated systems outpace the controls around them.

June 2, 2026

by Lavanya Chandrasekharan

· 2,727 Views · 1 Like

The Agentic Agile Office: Streamlining Enterprise Agile With Autonomous AI Agents

Agentic Agile Office uses autonomous AI agents to cut admin overhead, detect risks early, and shift teams from manual tracking to intelligent, high-velocity delivery.

June 1, 2026

by Madhusudhan Chivukula

· 2,540 Views · 2 Likes

Latest Articles - DZone