Data Engineering Resources

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

· 2,575 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

· 4,507 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

· 1,921 Views · 1 Like

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

· 1,992 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

· 2,099 Views · 4 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

· 2,020 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

· 2,872 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

· 5,599 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

· 1,967 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

· 2,603 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

· 1,681 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

· 13,047 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

· 2,210 Views

Introducing RAI Audit Kit: Evidence-Grade Responsible AI Audits in Python

RAI Audit Kit is an open-source Python suite for repeatable, evidence-backed AI audits across ML, deep learning, LLMs, RAG, and agents.

June 15, 2026

by Sai Teja Erukude

· 3,704 Views

The Hidden Cost of AI-Generated Frontend Code

AI can create frontend code in a matter of seconds. However, subsequently, the team has to deal with reviews, accessibility, performance, and maintenance.

June 15, 2026

by Satyam Nikhra

· 2,159 Views · 1 Like

From ETL to Lakeflow: Shifting to a Declarative Data Paradigm

The article focuses on moving away from traditional, "imperative" ETL processes to a modern, "declarative" approach using the Databricks Lakeflow platform.

June 15, 2026

by Seshendranath Balla Venkata

· 2,639 Views · 2 Likes

I Reverse-Engineered 50 API Breaches. The Same Five Mistakes Keep Appearing.

A cybersecurity and emerging tech correspondent analyzes 50 API breaches to reveal the five recurring mistakes behind major data exposures.

June 15, 2026

by Igboanugo David Ugochukwu

CORE

· 2,679 Views · 1 Like

Building a Vector Index in Azure AI Search: HNSW, Profiles, and RAG Retrieval

Use Azure AI Search as your RAG vector store. Build a Python example: define an HNSW vector index, upload embeddings, and run k-NN queries.

June 15, 2026

by Jubin Soni, FBCS

CORE

· 1,368 Views

Engineering Closed-Loop Graph-RAG Systems, Part 4: Evaluating a Graph-RAG System

Graph-RAG accuracy is only the starting point; evaluate the evidence path, rule compliance, latency, and feedback loop before calling it production-ready.

June 15, 2026

by Sriharsha Makineni

· 1,684 Views

Stop Loading Everything into Redshift: A Spectrum + Iceberg Pattern for Hybrid Analytics

Store large and cold datasets in Iceberg on S3, query them through Spectrum, and reserve Redshift local tables for workloads that need low latency or high concurrency.

June 12, 2026

by Vivek Venkatesan

· 2,494 Views

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