Data Engineering Resources

A Practical Guide to Temporal Workflow Design Patterns

Learn Temporal workflow design patterns for reliable distributed systems using durable execution, sagas, polling, fan-out/fan-in, signals, and versioning.

June 18, 2026

by Akhil Madineni

· 2,021 Views · 1 Like

When Your Documentation Manages Itself: mdship and AI-Assisted Markdown

Learn how to generate documentation using an LLM with mdship, and how to ensure that the prompts, which are now the source documentation, do not get lost.

June 18, 2026

by Peter Verhas

CORE

· 2,821 Views · 3 Likes

AI Is Finding Bugs Faster Than Enterprises Can Patch — Here's What Data Security Teams Should Do

Three structural shifts enterprise data security teams should make in 2026, based on verifiable data and a decade of experience building protection products.

June 18, 2026

by Priyanka Neelakrishnan

· 1,855 Views · 1 Like

Top Java Security Vulnerabilities and How to Prevent Them in Modern Java

Most Java security breaches stem from preventable coding mistakes. Follow secure coding practices, validate inputs, and keep dependencies updated to reduce risk.

June 18, 2026

by Muhammed Harris Kodavath

· 2,786 Views · 1 Like

Context Rot: Why Your AI Agent Gets Worse the Longer It Works

Adding more tokens to an LLM's context window quietly degrades output quality, even well before the window is full. This is context rot.

June 18, 2026

by Vineet Bhatkoti

· 1,750 Views · 1 Like

The Latency Tax That’s Hidden in Cloud-Native Systems (and the Hard Lessons I Learned to Minimize It)

Cloud-native latency is a hidden tax — cut unnecessary hops, heavy payloads, cold starts, and noisy observability to improve P95/P99 performance.

June 18, 2026

by Bharath Kumar Reddy Janumpally

· 1,998 Views · 1 Like

Why Infrastructure Efficiency Is Becoming the New Cloud Profitability Metric

Learn about how cost per workload, operational efficiency, and infrastructure architecture are reshaping cloud profitability and TCO analysis.

June 18, 2026

by Tetiana Fydorenchyk

· 2,485 Views

Amazon CodeWhisperer to Q Developer to Kiro: The Rise of Agentic Coding

If you’re a backend engineer working with AWS and curious about how we went from autocomplete-style AI to agentic, this one breaks down the architecture shifts.

June 18, 2026

by Jubin Soni, FBCS

CORE

· 2,309 Views

OpenAPI, ORM, SVG, and Lottie

Learn about Codename One's latest release with OpenAPI code generation, SQLite ORM, SVG and Lottie support, deep links, and routing.

June 17, 2026

by Shai Almog

CORE

· 4,239 Views · 1 Like

The Real-Time Revolution: Why Blockchain Needs Data Stream Processing

Blockchain and data streaming are bringing unprecedented levels of security, transparency, and real-time mechanisms to move data across the digital world.

June 17, 2026

by Gautam Goswami

CORE

· 1,600 Views

Intelligent Matching and Semantic Search for Marketplace Applications Using OpenAI and .NET

Learn how to build AI-powered semantic search and intelligent matching systems for marketplace platforms using OpenAI embeddings and .NET.

June 17, 2026

by Omer Yilmaz

· 1,962 Views

Grok AI API Tutorial: Chat, Image, Video, Tool Calling, and Web Search

Learn how to use the xAI Grok API for chat, image and video generation, tool calling, web search, and integrating external APIs in Python.

June 17, 2026

by Hilman Ramadhan

· 1,976 Views · 3 Likes

Testing Is Not About Finding Bugs

Finding bugs is what testing produces; understanding quality is why it exists. QA's future belongs to those who understand products, customers, and risks, not just bugs.

June 17, 2026

by Abhinav Garg

· 1,950 Views · 2 Likes

Parallel Kafka Batch Processing With Kotlin Coroutines in Spring Boot

Learn how Kotlin Coroutines improve Spring Boot Kafka batch processing with parallel execution, resource throttling, and faster database operations.

June 16, 2026

by Erkin Karanlık

· 2,679 Views · 1 Like

Cutting Data Pipeline Costs and Data Freshness Issues With Netflix Maestro and Apache Iceberg: A Practical Tutorial

Iceberg replaces filesystem state with a metadata tree (cheap queries, ACID snapshots). Maestro replaces cron with event signals (fresh data).

June 16, 2026

by Intiaz Shaik

· 5,426 Views · 3 Likes

Getting Started With GitHub Copilot CLI for Coding Tasks

This blog explores GitHub Copilot CLI, a terminal-based AI coding assistant that integrates with GitHub Copilot for users with a subscription.

June 16, 2026

by Gunter Rotsaert

CORE

· 1,900 Views

Your AI Is Not Failing, Your Context Is

RAG helps AI retrieve relevant data. GraphRAG connects entities and relationships. Context engineering turns both into accurate, safe, production-ready AI systems.

June 16, 2026

by Faisal Feroz

· 2,561 Views · 1 Like

Reducing RAG Hallucinations With Relationship-Aware Retrieval

An architectural idea and how it addresses the retrieval weaknesses that lead to hallucinations, with a reference implementation using RudraDB.

June 16, 2026

by Mahesh Vaijainthymala Krishnamoorthy

· 1,484 Views

Workflows vs AI Agents vs Multi-Agent Systems: A Practical Guide for Developers

Use workflows for control, agents for flexibility, and multi-agent systems only when complexity truly demands it. Add intelligence only where it makes a real difference.

June 15, 2026

by Raju Dandigam

· 12,386 Views · 3 Likes

Conversational Risk Accumulation: Stateful Guardrails Beyond Single-Turn LLM Checks

Learn how Conversational Risk Accumulation (CRA) helps detect session-level risks in long AI chats using telemetry, drift tracking, and soft guardrails.

June 15, 2026

by Sanjay Mishra

· 1,929 Views

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