Data Engineering Resources

AI Data Storage: Challenges, Capabilities, and Comparative Analysis

Deep dive into the storage challenges in AI scenarios, critical storage capabilities, and comparative analysis of storage products.

December 15, 2025

by Rui Su

· 1,905 Views

Streaming vs In-Memory DataWeave: Designing for 1M+ Records Without Crashing

MuleSoft’s default in-memory DataWeave can’t handle million-record files. Streaming solves this by processing data efficiently without OutOfMemory errors.

December 15, 2025

by Sree Harsha Meka

· 1,622 Views · 2 Likes

Escaping the "Excel Trap": Building an AI-Assisted ETL Pipeline Without a Data Team

Escape Excel silos. Use GitHub Copilot to generate Python pipelines that transform static spreadsheets into dynamic dashboards without manual coding.

December 15, 2025

by Dippu Kumar Singh

· 2,008 Views

From Metrics to Action: Adding AI Recommendations to Your SaaS App

Learn how to add AI recommendations to your SaaS app, turning telemetry data into actionable insights for smarter DevOps decisions.

December 15, 2025

by Vasanthi Jangala Naga

· 1,265 Views

The Agent Trap: Why AI's Autonomous Future Might Be Its Biggest Liability

Amid the hype surrounding agentic AI, smart teams must ask if their current systems are deploying flawlessly and consider incremental autonomy.

December 15, 2025

by Igboanugo David Ugochukwu

CORE

· 1,116 Views

Ambient Agentic Systems – A New Era Begins

Real-time context awareness, intuitive interaction, and seamless IoT integration let ambient agentic systems overcome AI's limitations in scalability and UX.

December 15, 2025

by Manish Mishra

· 891 Views

Virtual Threads in JDK 21: Revolutionizing Java Multithreading

The introduction of Virtual Threads in JDK 21 represents a major milestone for Java’s concurrency ecosystem. Understand the basics and best practices in this article.

December 15, 2025

by Jiwan Gupta

· 3,507 Views

ITBench, Part 3: IT Compliance Automation with GenAI CISO Assessment Agent

The CISO Assessment Agent converts natural language compliance requirements into executable policies, enabling organizations to scale security operations.

December 12, 2025

by Yuji Watanabe

· 957 Views · 1 Like

Secrets in Code: Understanding Secret Detection and Its Blind Spots

Even the best secret scanners miss valid tokens in open-source projects. This research shares data and practical tips for safer API-key design.

December 12, 2025

by Jayson DeLancey

· 3,044 Views · 2 Likes

Synergizing Intelligence and Orchestration: Transforming Cloud Deployments with AI and Kubernetes

Leverage AI’s predictive analytics and automation with Kubernetes autoscaling and self‑healing to transform cloud deployments more efficiently.

December 12, 2025

by Sandeep Batchu

· 1,591 Views · 1 Like

Modern Blueprint for Privacy-First AI/ML Systems

Designing ML systems that protect privacy by design through on-device learning, ID-free experimentation, and federated intelligence.

December 12, 2025

by Arun Thomas

· 557 Views · 1 Like

The Tinker and the Tool: Lessons Learned for Using AI in Daily Development

This article explores the necessary philosophical shift and practical workflow adjustments for developers using AI coding assistants. The biggest lesson is that the value of the human engineer has moved entirely to critical thinking and ultimate ownership.

December 12, 2025

by Ioan Tinca

· 629 Views · 1 Like

Taming Gen AI Video: An Architectural Approach to Addressing Identity Drift and Hallucination

Most Gen AI tools treat video as stateless images. Discover how better architectures, identity conditioning, and state-aware pipelines make AI video production reliable.

December 11, 2025

by Andrei Klubnikin

· 2,221 Views · 1 Like

How GPU Power Is Shaping the Next Wave of Generative AI

The next wave of GenAI will be shaped not by model design, but by how effectively organizations secure and scale GPU compute.

December 11, 2025

by Igor Voronin

· 830 Views · 1 Like

Demystifying Agentic Test Automation for QA Teams

Testing is shifting from brittle scripts to autonomous AI agents that explore your app and find edge cases — QA’s new job is strategy, oversight, and amplification.

December 11, 2025

by John Vester

CORE

· 2,323 Views · 2 Likes

Why Senior Developers Are Actually Less Productive with AI Copilot (And What That Tells Us)

Experienced developers experience productivity drops with AI Copilot because verification overhead exceeds the gains from generation speed. Junior developers gain 35%, seniors lose 12%.

December 11, 2025

by Dinesh Elumalai

CORE

· 3,371 Views · 5 Likes