AI/ML Resources

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

· 5,963 Views · 3 Likes

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

· 6,866 Views · 2 Likes

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

· 3,520 Views · 2 Likes

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

· 3,099 Views · 1 Like

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

· 3,807 Views · 4 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

· 3,428 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

· 2,415 Views · 2 Likes

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

CORE

· 2,827 Views · 3 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

· 2,542 Views · 2 Likes

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

· 1,969 Views · 2 Likes

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

· 2,565 Views · 2 Likes

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

· 2,012 Views · 1 Like

AI Won't Keep You from Hitting the Scalability Wall

AI coding tools can dramatically speed up integration builds — but speed isn't the bottleneck. The real issue is the long-term ownership cost.

July 8, 2026

by Bru Woodring

· 2,003 Views · 4 Likes

Building an AI Incident Copilot: How I Automated the First 15 Minutes of Every Production Incident

incopilot is an open-source Python CLI that automates the first 15 minutes of production incident triage — collecting logs, detecting failure patterns, and incidents.

July 7, 2026

by Sudhakararao Sajja

· 3,244 Views · 2 Likes

AI Can't Defend What It Can't See

AI can only defend what it can see. Give it incomplete data, and it won't warn you. It quietly reports everything as healthy while real attacks slip through unseen.

July 7, 2026

by Jithu Paulose

· 2,589 Views · 3 Likes

Designing Tool-Calling AI Agents That Survive Production: A LangGraph Approach

AI agents work in demos and break into production. This LangGraph tutorial builds tool-calling agents that are fail-safe: validated, bounded, and observable.

July 7, 2026

by Shubham Gupta

· 2,180 Views · 1 Like

Building a Mortgage Agent With FRED Data, FastAPI, and LLM Tool Calling

A walkthrough of an open-source intelligent FastAPI app that pairs Freddie Mac benchmarks from FRED with a first-time buyer chat assistant.

July 7, 2026

by Sushma Kukkadapu

· 2,625 Views · 1 Like

How to Build a Production-Ready RAG Pipeline With Vector DBs

RAG prototypes are easy. Production RAG is not. This covers vector DB tradeoffs, chunking patterns, re-ranking, and evaluation setups that hold up at scale.

July 6, 2026

by Mark Saxon

· 4,124 Views · 2 Likes

Developer’s Checklist: How to Build an FHE Application

This step-by-step checklist breaks down FHE app development from plaintext design to encrypted implementation and offers open-source tools to get you started.

July 6, 2026

by David Archer

· 1,385 Views · 1 Like

LangChain With SQL Databases: Natural Language to SQL Queries

Building an SQL interface that is easy to use for NON-SQL users and provides immediate and accurate answers to business queries.

July 6, 2026

by Varun Joshi

· 1,657 Views · 2 Likes

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