The Latest and Popular SDLC Topics

Data Pipeline Observability: Why Your AI Model Fails in Production

Your machine learning model had 95% accuracy in testing, but crashes in production. The problem isn't the model, it's your data pipeline.

June 26, 2026

by Abhilash Rao Mesala

· 1,722 Views · 1 Like

Two Clocks Are Running Out at Once, and Almost Nobody Is Watching Both

Quantum computing and AI coding tools are changing security. Learn why crypto-agility and better governance are now critical.

June 26, 2026

by Igboanugo David Ugochukwu

CORE

· 2,210 Views · 2 Likes

What Cloud Engineers Actually Need to Know About AI Infrastructure

AI infrastructure isn’t about GPUs. Most issues come from storage, networking, data pipelines. If GPU utilization is low, check the infrastructure first, not the model.

June 26, 2026

by Naveen Kalapala

· 1,735 Views · 1 Like

Beyond Software Hope: The Engineering Blueprint for AI Execution Truth

This engineering blueprint details how to replace "software hope" with deterministic, hardware-level enforcement via TEEs and the Citadel protocol.

June 25, 2026

by Theo Ezell

· 1,407 Views · 1 Like

Code and Connect: MCP + MuleSoft

Understand MCP, AI agents, and assistants, and learn how Model Context Protocol connects AI applications to tools using MuleSoft.

June 25, 2026

by Ajay Singh

· 1,967 Views

The AI Definition of Done

The AI Definition of Done: human-in-the-loop is not a quality standard; you need a different approach for agent harnesses or operational excellence.

June 25, 2026

by Stefan Wolpers

CORE

· 1,921 Views · 1 Like

AI, OAuth, and Other Platform APIs in the Core

Deeper AI integration in the framework core, modern authentication via OAuth / OIDC and WebAuthn passkeys driven from the system browser, and a few smaller additions.

June 24, 2026

by Shai Almog

CORE

· 2,028 Views · 1 Like

5 Warning Signs Your Data Architecture Needs a Redesign (Before It Falls Apart)

Five signs your data architecture needs redesign. Fix with semantic layer, active metadata, embedded governance, AI security, maintainable design.

June 24, 2026

by Rajanikantarao Vellaturi

· 1,514 Views · 1 Like

AI Broke Your Definition of Done

When a machine writes most of the code, "the code shipped" stops being a finish line. The work that's left is the work your definition of done was already skipping.

June 24, 2026

by Matt Watson

· 1,142 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

· 1,458 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

· 2,306 Views

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

· 2,385 Views · 1 Like

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

· 1,783 Views

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

· 1,831 Views · 1 Like

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

· 922 Views

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

· 1,690 Views · 2 Likes

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

· 1,825 Views

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

· 1,087 Views · 1 Like

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

· 1,407 Views · 1 Like

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

· 1,108 Views

The Latest Popular Topics