AI/ML Resources

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

· 4,151 Views

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

· 2,585 Views

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

· 2,550 Views · 1 Like

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

· 4,530 Views · 3 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

· 3,031 Views · 1 Like

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

· 4,190 Views · 2 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

· 5,131 Views · 3 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

· 1,744 Views · 1 Like

API Facade vs. Orchestration vs. Eventing, Now With AI in the Loop

Discover architectural patterns for integrating AI into enterprise systems without sacrificing governance, reliability, observability, or loose coupling.

July 13, 2026

by Jubin Soni, FBCS

CORE

· 2,809 Views · 1 Like

Machine Identity Debt: Why Human Identity Is No Longer Cloud Security's Primary Boundary

Machine identities now outnumber human ones in cloud environments. Learn how to secure workloads with modern identity governance and trust.

July 13, 2026

by Igboanugo David Ugochukwu

CORE

· 6,406 Views · 1 Like

Performance Testing RAG Applications: Complete Engineering Guide

In this blog post, we will see how to perform a performance test on a retrieval-augmented generation (RAG) application properly, covering both speed and correctness.

July 13, 2026

by NaveenKumar Namachivayam

CORE

· 3,022 Views · 1 Like

Goodbye, Skeleton Keys: Why Machine Identity Broke IAM, and What SPIFFE Is Doing About It

The Salesloft Drift breach showed why machine identity has outgrown IAM. Here’s how SPIFFE can reduce token sprawl and trust risk.

July 13, 2026

by Igboanugo David Ugochukwu

CORE

· 2,865 Views

Service Industry Evolution: Beyond 99.9% Uptime With Evolving Technology

Learn how AI, observability, predictive maintenance, and resilience are helping service organizations move beyond reactive operations and improve uptime.

July 10, 2026

by Abhishek Sharma

· 3,420 Views · 3 Likes

Slopsquatting: A New Supply Chain Threat From AI Coding Agents

AI agents invent package names that do not exist. Attackers register them as malware. Called slopsquatting. 19.7% of AI-suggested packages are fakes.

July 10, 2026

by Kadir Arslan

· 2,706 Views · 1 Like

Candidate Generation Decides Your Pipeline's Cost, Not the LLM

LLM-powered document intelligence pipelines rarely blow their budgets on summarization. The failure is one layer up: a missing triage and candidate generation layer.

July 9, 2026

by Deepak Gupta

· 2,024 Views · 1 Like

6 Types of AI Orchestration Every Tech Leader Needs to Know

Learn the six types of AI orchestration and how they help teams build reliable, scalable, and production-ready AI systems.

July 9, 2026

by Balaji Venkatasubramaniyar

· 2,468 Views · 2 Likes

The AI Reliability Gap: Why Enterprise AI Is Failing Long Before It Reaches Production

Enterprise AI isn't failing because models aren't smart enough. Learn why reliability, governance, and engineering are the real challenges in production.

July 9, 2026

by Igboanugo David Ugochukwu

CORE

· 1,915 Views · 1 Like

If You Can Write Acceptance Criteria, You Can Write an AI Routing Policy

Your AI Routing Policy isn't about picking the cheapest model. It's a repeatable team decision assigning each task to the cheapest sufficient path.

July 9, 2026

by Stefan Wolpers

CORE

· 1,854 Views · 1 Like

Harness Engineering for AI: Why the Model Is Only Half the System

Learn harness engineering for AI and build production-ready systems with memory, guardrails, tools, verification, feedback, and observability.

July 8, 2026

by Manas Dash

CORE

· 2,053 Views · 1 Like

AI Is Making PHP Cool Again

The stack everyone called dead has an edge in the AI era, and it comes down to one boring thing: every Laravel project on earth puts the same file in the same place.

July 8, 2026

by Matt Watson

· 1,680 Views

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