Latest Articles

Beyond Manual Annotation: Engineering Self-Correcting Pseudo-Labeling Pipelines

This article details a resilient pseudo-labeling architecture. It combines Redis ingestion, Matryoshka embeddings, XGBoost to neutralize self-training confirmation bias.

June 4, 2026

by Harshith Narasimhan Srivatsa

· 2,211 Views

Testing AI-Infused Apps: A Dual-Layer Framework for AI Quality Assurance

Reliable AI delivery isn't either/or—it's both/and. Test conventionally for functionality. Evaluate probabilistically for quality. Deploy with dual-discipline confidence.

June 4, 2026

by Stelios Manioudakis

CORE

· 3,541 Views · 2 Likes

Real-Time AI Inference at Scale Using Cloud Run, GPUs, and Vertex AI

Build scalable threat intel pipelines with Python, STIX/TAXII APIs, and Elasticsearch. Normalize data, preserve context, and enable fast, reliable detection.

June 4, 2026

by khadarvali shaik

· 2,256 Views

Build a GitHub Slack Bot With AWS Bedrock and MCP, Part 2

Build a Slack bot using AWS Bedrock and MCP to answer GitHub questions. Learn setup, architecture, and how to extend it with new tools and data sources.

June 4, 2026

by Sangharsh Agarwal

· 2,688 Views

Compliance Automated Standard Solution (COMPASS), Part 11: Compliance as Code, the OSCAL MCP Server Way

How AI-native tooling is finally closing the loop between compliance personas and OSCAL artifacts with an MCP-standardized, AI-agent-ready interface.

June 4, 2026

by Yuji Watanabe

· 2,489 Views

Building Threat Intelligence Pipelines Using Python, APIs, and Elasticsearch

STIX/TAXII in, ECS normalized, provenance preserved deterministic IDs, correct bulk writes, ingest pipelines keep threat indicator data reliable and queryable under load.

June 3, 2026

by Krishnaveni Musku

· 3,086 Views

How to Save Money Using Custom LLMs for Specific Tasks

MCP transforms AI from "chatbot" to "capable agent" by managing the messy details of tool integration and execution. With local models.

June 3, 2026

by Max Tcvetkov

· 2,028 Views · 2 Likes

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

· 2,945 Views · 3 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

· 2,713 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

· 2,927 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

· 4,046 Views · 1 Like

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

· 2,228 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

· 2,693 Views · 2 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

· 1,195 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

· 3,077 Views · 1 Like

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

· 1,179 Views

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

· 4,097 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

· 2,169 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

· 2,067 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

· 2,254 Views

Latest Articles - DZone