AI/ML Resources

Beyond the Model: Building Real-World Machine Learning

Learn how MSOE bridges the gap between machine learning theory and production systems through data pipelines, deployment, monitoring, and automation.

July 21, 2026

by Craig Hardy

· 2,949 Views · 1 Like

Will AI Keep Us Stuck in 2020 Architectures?

AI coding assistants are deeply fluent in current Spring conventions, which raises a real question: does that lock architecture into 2020-era patterns? It turns out, no.

July 21, 2026

by Daniel Sagenschneider

· 3,394 Views · 2 Likes

One Click From Requirements to Production: The Promise and the Reality

AI deployment demos always end before the hard part begins. Writing code is 20% of delivery. This article breaks down the hidden 80% that demos never show you.

July 21, 2026

by Sanketh Kumar Divveda

· 3,116 Views · 3 Likes

Search Is Becoming the Control Plane for AI Agents

The future of AI agents is searchable tool discovery, not hardcoded APIs. MCP and semantic search are turning tools into capabilities agents can find and use at runtime.

July 21, 2026

by sunil paidi

· 2,588 Views · 1 Like

Agent Sprawl Is Your Next Production Incident: An SRE Response to Datadog's State of AI Engineering 2026

Datadog published the State of AI Engineering 2026 report. Read it. It's the most comprehensive look at AI in production available now.

July 20, 2026

by AJAY DEVINENI

· 4,233 Views · 2 Likes

7 Essential Guardrails for Building AI SRE Agents

AI agents can take over the first minutes of incident response, but only with the right boundaries. Seven guardrails that keep an SRE agent from becoming the outage.

July 20, 2026

by Akhilesh Rao Meesala

· 2,828 Views · 4 Likes

Observability for AI Agents and Multi-Agent Systems: When Your System Can't Tell You Why It Did That

Agent systems discard the reasoning behind decisions. Capture workflow IDs, semantic logs, and prompt context before production deployment.

July 17, 2026

by Pruthvi Raj Seknametla

· 36,534 Views · 3 Likes

Mitigating Cache Stampedes in Dynamic API Translation Using Java 21 Virtual Threads

Building a dynamic API translation proxy that leverages Java 21 Virtual Threads and Redisson distributed locking to safely execute AI-driven schema mapping.

July 17, 2026

by Aniruddha Chatterjee

· 4,067 Views · 4 Likes

AGENTS.md Makes Your Java Codebase AI-Agent Ready

A standardized instruction layer for enabling AI agents to accurately navigate, build, and test applications by enforcing clear architectural and operational constraints.

July 17, 2026

by Daniel Oh

CORE

· 4,997 Views · 4 Likes

Every SOC Today Is Answering the Wrong Question

Rethink SOC architecture with Continuous Evidence Graphs that connect identities, sessions, and resources instead of relying on alert timelines.

July 17, 2026

by Igboanugo David Ugochukwu

CORE

· 3,235 Views · 1 Like

When AI Agents Call Your Microservices: 5 Assumptions That No Longer Hold

Five assumptions break predictable volume, rare duplicates, human-owned auth, fault-only retries, and log-based debugging, and five targeted fixes address each one.

July 16, 2026

by Maryna Klochkova

· 3,157 Views · 3 Likes

Platform Engineering 2.0: Evolve the Substrate for AI and Agents

As the workload demands for platform teams change to meet the needs of agents, so too must the platform paradigm itself.

July 16, 2026

by Chris Ward

CORE

· 25,041 Views · 3 Likes

Your Agent Trusts That Wiki. Should It?

AI agents need more than execution correctness. Instruction provenance must be a first-class security property before privileged actions are trusted.

July 16, 2026

by Abhinav Srivastava

· 4,462 Views · 1 Like

AI Agent Harness Lock-In: 5 Portability Tests to Run Before You Commit

Five harness portability tests — memory, tools, skills, orchestration, and governance — that reveal what you trade when committing to an AI agent platform.

July 16, 2026

by Deneesh Narayanasamy

· 3,066 Views · 1 Like

Your AI Agent Trusts Every Tool It's Ever Been Introduced To; That's the Whole Problem

Learn about the 2026 MCP security crisis and a capability provenance architecture that detects tool drift, blocks attacks, and strengthens AI agent security.

July 16, 2026

by Igboanugo David Ugochukwu

CORE

· 3,215 Views · 2 Likes

Cloud Cost Optimization Was Hard; AI Cost Optimization Will Be Worse.

Cloud cost optimization was hard because cloud made infrastructure consumption easy; AI cost optimization will be worse because AI makes decision consumption easy.

July 15, 2026

by Raghava Dittakavi

CORE

· 5,624 Views · 4 Likes

You Already Have an AI Working Agreement. Write It Down.

You already have an AI working agreement. Now, write it down to turn scattered AI decisions into an inspectable artifact.

July 15, 2026

by Stefan Wolpers

CORE

· 3,430 Views · 2 Likes

Architecting Autonomous Network Ecosystems: From Reactive Monitoring to Agentic AI Orchestration

A strategic blueprint for integrating sophisticated multi-agent systems designed to drive proactive, zero-touch network operations.

July 15, 2026

by Daniel Oh

CORE

· 4,898 Views · 3 Likes

GraphRAG in Practice Using Spring AI, Neo4j, and Goodreads Data

Building a GraphRAG application with Spring AI and Neo4j, covering data modeling, Cypher-based data loading, vector search, and key gotchas.

July 14, 2026

by Akmal Chaudhri

CORE

· 6,602 Views · 4 Likes

The Role of Multi-Agent AI in Optimizing Warehouse Logistics

Multi-agent AI streamlines warehouse logistics by coordinating inventory, fulfillment, and automation in real time to improve efficiency and reduce costs.

July 13, 2026

by Lilly Gracia

· 1,950 Views · 2 Likes

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