AI/ML Resources

How to Detect AI-Generated Images in C# Using an API

Build a C# workflow that analyzes uploaded images for signs of AI generation and turns the returned risk score into a practical application decision.

September 1, 2026

by Brian O'Neill

CORE

· 3,231 Views · 1 Like

The AI Gateway Pattern That JPMorgan, Stripe, and Every Smart Fintech Is Quietly Standardizing On

Every microservice calling OpenAI directly is a $4,000/month surprise waiting to happen. The shift nobody's writing about — but everyone at scale is building.

September 1, 2026

by Dinesh Elumalai

CORE

· 2,788 Views · 2 Likes

Evolve or Automate: What It Actually Means to Be an AI-Native Data Engineer

The role isn't disappearing. But if you're still doing the same job you were doing two years ago, you're already behind.

September 1, 2026

by Janani Annur Thiruvengadam

CORE

· 3,218 Views · 1 Like

Secure AI Systems: Defending Enterprise Applications Against Agent-Era Threats

Secure enterprise AI agents with zero-trust, prompt defenses, identity isolation, secure orchestration, and continuous observability against emerging agent-era threats.

August 31, 2026

by Uthej Mopathi

CORE

· 2,422 Views · 3 Likes

How to Monitor AI Models Without Drowning in Alerts

In this article, we will discuss monitoring AI models wisely. Prioritize actionable alerts so that real issues stand out instead of getting lost in the noise.

August 28, 2026

by Aditya Shrivastava

· 2,873 Views · 2 Likes

The Reasoning Control Plane: The Missing Architectural Layer in Multi-Agent Systems

Multi-agent systems lack a governance layer for reasoning. The Reasoning Control Plane addresses this with shared context, A2A access controls, observability, guardrails.

August 28, 2026

by Sushree Mishra

· 2,516 Views · 2 Likes

Why AI Projects Stall Between Proof of Concept and Production

Many AI projects succeed as prototypes but fail in production due to data, integration, governance, monitoring, and other challenges. Let's find out more.

August 28, 2026

by Vikrant Bhalodia

· 2,425 Views · 2 Likes

How Engineering Teams Can Build Trustworthy AI Systems Before They Reach Production

How engineering teams can test, monitor, and govern AI systems before deployment to catch failures early and ensure they’re ready for production.

August 27, 2026

by Olamilekan Lamidi

· 3,690 Views

Orchestrating CNN Training and Inference Workflows With Temporal

Temporal makes CNN training and inference resilient with durable orchestration, automatic retries, checkpoint-based recovery, and reliable workflow execution.

August 27, 2026

by Akhil Madineni

CORE

· 2,751 Views · 3 Likes

The AI Delegation Lifecycle: Your Team Has AI Outputs. Where Are the Decisions?

The AI Delegation Lifecycle helps teams govern AI work through six stages: decide, route, hand over, define done, inspect, and roll up.

August 27, 2026

by Stefan Wolpers

CORE

· 2,694 Views

How to Connect a Foundry IQ Knowledge Base to LangGraph Over MCP

This guide walks through the setup, MCP response, Entra token refresh, and how to avoid conflicts between LangGraph’s planner and Foundry IQ’s agentic retrieval planner.

August 26, 2026

by Jubin Soni, FBCS

CORE

· 3,589 Views · 1 Like

Building a Software Factory With AI Agents and Workflows

In this article, we’ll explore how to build a complete software factory from scratch, leveraging AI agents to transform the entire software development lifecycle.

August 26, 2026

by Pavan Belagatti

CORE

· 2,987 Views · 1 Like

The Folly of Tokenmaxxing or Reinventing the Wheel

AI transformation is often reduced to token usage, tool rollouts, and pilots. Learn five Agile laws that explain why AI adoption fails and what to measure instead.

August 26, 2026

by Stefan Wolpers

CORE

· 2,304 Views · 1 Like

The Code-Volume Delusion: Rethinking Engineering Velocity in the AI Era

AI is shifting the engineering bottleneck downstream, requiring leaders to prioritize PR cycle times, CI/CD stability, and architectural health.

August 25, 2026

by Rupesh Dabbir

· 2,872 Views · 1 Like

LLM Judgment for Document Pipelines: Bounded Pools and Typed Verdicts

Use LLMs to judge a bounded pool of documents, returning typed relevance that make pipeline decisions easier to inspect, monitor, and improve.

August 25, 2026

by Deepak Gupta

· 1,934 Views · 1 Like

Text Analysis Without a Backend: Replacing an LLM Call With Intl.Segmenter and 60 Lines of JavaScript

Build deterministic browser-based text tools instead of LLM APIs to reduce cost, latency, privacy risks, and nondeterministic results.

August 24, 2026

by Kevin Brown

· 2,349 Views

Ground Truth for AI-Written Code: Why Context Matters More Than Prompts

AI coding assistants become significantly more powerful when they understand Git history, project architecture, and shared engineering context.

August 24, 2026

by Troian Serhii

· 2,014 Views · 2 Likes

The Real Skill Stack Behind Production-Ready AI Engineers

Reliable agentic AI systems come from evaluation harnesses, precise tool design, failure checkpoints, and knowing when not to use an agent.

August 24, 2026

by Joshua Shelton

· 1,618 Views · 2 Likes

Cutting AI Token Costs With MgntUtils Stack Trace Filtering

Learn how AI can reduce log volume and token costs by compressing stack traces while preserving the details needed for effective debugging and analysis.

August 24, 2026

by Michael Gantman

· 1,571 Views · 1 Like

Building Meeting Audio RAG on Microsoft Foundry With Fast Transcription and Foundry IQ

Build a production-ready meeting audio RAG pipeline with Microsoft Foundry, and connect to a Foundry agent that answers questions with meeting and time citations.

August 21, 2026

by Jubin Soni, FBCS

CORE

· 1,771 Views · 1 Like

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