AI/ML Resources

Enterprise AI Data Engineering With Snowflake Cortex and RAG

Learn how Snowflake Cortex and RAG turn messy enterprise data into reliable AI answers: chunking, vector search, and production pitfalls.

August 13, 2026

by Karini Kapoor

· 1,416 Views · 1 Like

Benchmark LangGraph, Strands, OpenAI Agents, and Google ADK on the Same Agent Graph

An experiment ranks them on latency and tokens with an LLM-as-a-judge quality guardrail; then the same flag promotes the winner to production with no redeploy.

August 13, 2026

by Scarlett Attensil

· 1,495 Views · 1 Like

AI Assist vs AI Complete: The Real Gap in Most AI Workflows Today

The real difference between AI features and AI that finishes the job — most enterprise AI helps with a workflow but doesn't own the outcome.

August 13, 2026

by Muralidharan Lakshmanan

· 1,510 Views · 1 Like

Orchestrating Small Language Models Without Losing Events or Context

Temporal and Kafka orchestrate small language models reliably through durable workflows, ordered events, idempotency, retries, replay, and context preservation.

August 13, 2026

by Akhil Madineni

CORE

· 1,528 Views · 2 Likes

From Microservices to Agent Services: The Next Architectural Shift

AI agents redefine service boundaries by introducing intent-driven orchestration, semantic capabilities, and autonomous decision services.

August 12, 2026

by Uthej Mopathi

· 1,915 Views · 2 Likes

The AI Memory Security Blueprint

Protect enterprise RAG systems with provenance, context isolation, and vector database governance to reduce retrieval poisoning and prompt injection risks.

August 12, 2026

by Igboanugo David Ugochukwu

CORE

· 2,438 Views · 1 Like

Building AI-Driven Service Operations: Integrating CRM, Inventory, and Field Service

Effective AI-driven CRM implementations depend on integration with field service, inventory, ERP, and logistics so predictive insights can be executed successfully.

August 12, 2026

by Abhishek Sharma

· 1,343 Views · 1 Like

Machine Identity Debt

Learn why traditional cloud infrastructure struggles with AI workloads and how modern identity, trust, and governance improve security in production.

August 12, 2026

by Igboanugo David Ugochukwu

CORE

· 1,475 Views · 2 Likes

The AI Software Supply Chain Blueprint

Learn how to secure AI pipelines with trusted models, verified dependencies, ML-BOMs, and supply chain controls from development to deployment.

August 11, 2026

by Igboanugo David Ugochukwu

CORE

· 2,943 Views · 1 Like

Why Traditional Cloud Infrastructure Breaks AI Workloads in Production

Legacy cloud infrastructure can't keep pace with AI workloads. Let's deep dive into the key failure points and how to fix them in production.

August 11, 2026

by Mohit Shah

· 2,299 Views · 1 Like

The Agent in Your Pipeline Doesn't Have a Manager. That's the Problem.

AI agents are flooding development environments faster than governance can keep up. Learn why visibility, identity, and access controls matter now.

August 11, 2026

by Igboanugo David Ugochukwu

CORE

· 1,354 Views

Incident Management and the Rise of AI SRE Agents

A newer category, dedicated AI SRE agents, goes further: they actively query logs, metrics, and deploy history live during an incident.

August 11, 2026

by Vidyasagar (Sarath Chandra) Machupalli FBCS

CORE

· 1,759 Views · 2 Likes

We Empowered AI Agents With 'Hands,' Now We Require Kernel-Level Vision to Monitor Them

MCP tool use creates massive application-layer blind spots. Close the gap by monitoring agent behavior directly in the kernel space.

August 11, 2026

by Ammar Ekbote

· 1,832 Views · 1 Like

How We Built an LLM Pipeline That Survives Traffic Spikes

A traffic spike took down our LLM summarizer. Here is the severity-routing + token-governor design that keeps it alive. Plan in tokens, not requests.

August 10, 2026

by Dileep Mundakkapatta

· 1,514 Views · 1 Like

Building an AI-Powered Incident Triage Agent with .NET Aspire

A practical, code-driven tutorial on building an AI-powered incident triage agent using .NET 10 and .NET Aspire 9, and other modern tools.

August 10, 2026

by Muhammad Asif Nawaz

· 2,155 Views · 1 Like

Agentic AI in 2026: How Autonomous AI Agents Are Replacing Manual Dev Work

Autonomous AI agents are moving from demos to production in 2026. See how agentic AI, MCP, and multi-agent systems are changing dev workflows.

August 10, 2026

by Ghulam Ghous

· 1,233 Views · 1 Like

GraphQL Isn’t Dead Yet, AI Agents Revived It

GraphQL was good at a time, then it simmered off. Is GraphQL about to make a comeback because of AI? Will GraphQL be able to serve better for AI Agents?

August 10, 2026

by Akash Lomas

· 1,002 Views · 2 Likes

A Practical Pipeline for Identifying Sensitive Columns Before Test Data Masking

In this article, I will be introducing a pipeline designed to identify sensitive data columns before masking steps and improve the efficiency of the data masking process.

August 10, 2026

by Siyuan Feng

· 1,158 Views

Orchestration Meets MCP: Building Governed Agentic Workflows With Quarkus Flow and AGENTS.md

By combining Quarkus Flow, LangChain4j, MCP tools, and AGENTS.md, developers can construct deterministic, tool-augmented, and enterprise-governed AI agent loops.

August 7, 2026

by Daniel Oh

CORE

· 1,968 Views

How RAG Cuts Hallucinations in Generative AI Chatbots

RAG cuts chatbot hallucinations by grounding answers in retrieved source data, not model memory. Retrieval quality and evaluation matter more than model size.

August 6, 2026

by Paul Schloss

· 1,496 Views

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