AI/ML Resources

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

· 2,310 Views · 1 Like

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

· 2,223 Views · 2 Likes

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

· 2,186 Views · 2 Likes

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

· 1,633 Views · 2 Likes

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

· 1,290 Views · 3 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

· 1,744 Views · 3 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

· 2,580 Views · 1 Like

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

· 7,110 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

· 1,902 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

· 6,446 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

· 1,011 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

· 2,047 Views · 3 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

· 2,041 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

· 1,373 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

· 1,621 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

· 1,288 Views · 1 Like

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

· 931 Views · 1 Like

Generative Engine Optimization: How to Make Your Content Visible to AI

Generative engine optimization (GEO) helps content get cited by AI tools like ChatGPT and Perplexity using structure, authority, and semantic clarity.

June 22, 2026

by Sibanjan Das

· 1,413 Views · 1 Like

GenAI Isn't Solving the Problem Most Development Teams Actually Have

We optimized for code-generation speed while the real bottleneck — cognitive overhead and knowing where to make changes — remained completely untouched.

June 19, 2026

by Gaurav Gaur

CORE

· 2,878 Views · 12 Likes

Testing Strategies for Web Development Code Generated by LLMs

LLMs can quickly generate web application code, but AI-written code may contain security vulnerabilities. This article reviews testing methods for LLM systems.

June 19, 2026

by Sandesh Basrur

· 2,751 Views · 2 Likes

The Latest AI/ML Topics