Latest Articles

Architectural Cost of Rust's Orphan Rule

A deep dive into how Rust's orphan rule creates architectural trade-offs in large monorepos. Learn when to use the newtype pattern, local traits, or bridge crates

June 24, 2026

by Krun Dev

· 1,367 Views · 1 Like

Implementing Asynchronous Communication Between Microservices Using Kafka and Spring Boot

Kafka decouples services, buffers spikes, and routes failures to a DLT. Schemas are contracts; consumers must be idempotent.

June 24, 2026

by Mallikharjuna Manepalli

· 3,781 Views · 2 Likes

Who Owns the Data Stack?: How AI Is Reshaping Ownership, Architecture, and Accountability Across Teams

Build AI-native data systems with clear ownership, semantic contracts, and governance. Learn how accountability, retrieval, and data quality shape AI behavior.

June 24, 2026

by Miguel Garcia

CORE

· 1,821 Views · 3 Likes

Architectural Collapse: How Extension Poisoning, Node Vulnerabilities, and Infrastructure Fog Enabled the GitHub Repository Breach

A major GitHub breach showed how extension poisoning, Node ecosystem weaknesses, and insecure developer workstations can bypass traditional security defenses.

June 23, 2026

by Akash Lomas

· 3,662 Views · 2 Likes

Phantom APIs Are Eating Your Attack Surface, and Most Security Teams Are Still Looking the Other Way

Undocumented phantom APIs are creating hidden security risks. Learn how AI-generated endpoints evade reviews and expand attack surfaces.

June 23, 2026

by Igboanugo David Ugochukwu

CORE

· 2,654 Views · 1 Like

From dusty SFTP drops to live, governed datasets — how Delta Sharing enables secure, real-time data access without moving or duplicating data.

June 23, 2026

by Seshendranath Balla Venkata

· 2,089 Views · 3 Likes

Connect Existing Data to AI Retrieval: How to Build Production-Ready Search Without Rebuilding Core Systems

Step-by-step tutorial building AI retrieval over existing data systems using a thin layer, covering workflow design, indexing, evaluation, and RAG pipeline.

June 23, 2026

by Jubin Soni, FBCS

CORE

· 7,166 Views · 2 Likes

The Breach Was Never at the Door

OAuth tokens and AI agents can bypass traditional security. Learn from Microsoft and Salesloft breaches why behavioral monitoring matters.

June 23, 2026

by Igboanugo David Ugochukwu

CORE

· 1,962 Views · 1 Like

I Built a VS Code Extension to Debug Azure AI Foundry Agents Without Leaving My Editor

Free VS Code extension for Azure AI Foundry agent traces into your editor as an interactive timeline — see tool calls, token costs, and conversation replays.

June 23, 2026

by Jubin Soni, FBCS

CORE

· 6,511 Views · 2 Likes

How to Classify Documents in C#

In this article, we discuss the advantages and challenges of implementing AI document classification for C# pipelines and discuss some solutions.

June 23, 2026

by Brian O'Neill

CORE

· 1,044 Views · 1 Like

Data Governance Checklist for AI-Driven Systems

A practical checklist for evaluating AI data readiness, covering data quality, governance, lineage, access controls, retrieval systems, and ongoing monitoring.

June 23, 2026

by Abhishek Gupta

CORE

· 2,116 Views · 3 Likes

How to Set MX Records via API: Automate Email Routing Programmatically

Set MX records automatically with the name.com API instead of by hand. Includes curl examples, Google Workspace routing, and sandbox testing.

June 22, 2026

by Jakkie Koekemoer

· 2,903 Views · 1 Like

Foxit MCP Server: Give AI Agents Direct Access to 30+ PDF Tools via Model Context Protocol

Foxit MCP Server gives any AI agent direct access to 30+ PDF tools for conversion, OCR, merge, and compare via the Model Context Protocol.

June 22, 2026

by Lucien Chemaly

· 2,150 Views · 1 Like

The Reliability Gap: Why Enterprise AI Keeps Failing After It Already Works

Enterprise AI often fails after launch due to behavioral drift, stale context, and trust erosion — not model quality or benchmark accuracy.

June 22, 2026

by Igboanugo David Ugochukwu

CORE

· 1,437 Views · 2 Likes

When Valid SQL Was Still the Wrong Answer

A personal project exploring why AI-generated SQL isn't always trustworthy and how semantic context, validation, and governance improve analytics accuracy.

June 22, 2026

by Anusha Kovi

CORE

· 1,699 Views · 2 Likes

Keeping AI-Powered BI Honest: A Human-in-the-Loop (HITL) Playbook

AI-generated SQL can look right while being wrong. Learn how human-in-the-loop workflows build trust through reviews, approvals, audits, and escalation paths.

June 22, 2026

by Nithish Shetty

· 1,326 Views · 1 Like

Solving Data Traffic Jams in Your Network

Not even data likes a lengthy commute. In this article, let’s explore how to solve congestion chaos with tighter infrastructure.

June 22, 2026

by Sascha Neumeier

· 1,296 Views · 3 Likes

Offline Evaluation of RAG-Grounded Answers in LaunchDarkly AI Configs

Run an offline Playground eval with a cross-family LLM judge and use failing rows to separate retrieval issues from generation problems and judge noise.

June 22, 2026

by Scarlett Attensil

· 972 Views · 1 Like