Latest Articles

Encryption Won't Survive Quantum Computing: What to Do?

Quantum computers will break RSA. Lattice cryptography is the fix. Here's why your architecture needs to change before Q-Day arrives.

June 16, 2026

by Faisal Feroz

· 4,190 Views · 1 Like

The Trust Problem in Modern SaaS: Why Your Authentication Succeeded, and You Still Got Breached

Modern SaaS breaches often happen after successful authentication. Learn how trust drift, weak authorization, and stale tokens create hidden risks.

June 16, 2026

by Igboanugo David Ugochukwu

CORE

· 2,247 Views · 2 Likes

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

· 5,355 Views · 3 Likes

Runtime Formula Evaluation With MVEL Library in Spring Boot

Learn how to use MVEL in Spring Boot to move business rules into the database, reduce deployments, and support dynamic runtime calculations.

June 16, 2026

by Erkin Karanlık

· 2,649 Views

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

· 1,868 Views

Building a Multi-Agent Orchestration Capability: Architecture and Code Walkthrough

An architectural pattern where multiple specialized AI agents collaborate through a central orchestrator and leverage tools to solve complex user objectives.

June 16, 2026

by Narendra Lakshmana gowda

· 1,344 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

· 2,551 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

· 1,455 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

· 12,239 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

· 1,899 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

· 3,201 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

· 1,699 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

· 2,254 Views · 1 Like

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

· 2,133 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 Abhishek Soni

CORE

· 1,225 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

· 1,342 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

· 2,245 Views

AI Assessments Are Everywhere

AI readiness assessments can spark valuable discussions, but self-reported scores have limits. Learn how to evaluate and apply them effectively.

June 12, 2026

by Rick Freedman

· 2,409 Views · 2 Likes

Operationalizing Enterprise AI at Scale: Architecture, Governance, and Adoption

Enterprise AI success depends on scalable architecture, governance automation, AI operations, observability, and developer-first enablement strategies.

June 12, 2026

by Aravind Nuthalapati

CORE

· 2,460 Views · 3 Likes

A Spring Boot App With Half the Startup Time

Learn how Project Leyden and AOT caching can cut Spring Boot startup time in half, improving Kubernetes scaling and application responsiveness.

June 12, 2026

by Sven Loesekann

· 3,450 Views · 3 Likes

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