AI/ML Resources

AI Agents Are Exceeding Permissions at Scale. Here Are the Queries Your SIEM Is Missing.

Catch AI agents exceeding their permissions with copy-paste SIEM, Kubernetes, and cloud-audit queries you can run this sprint, most in under an hour.

July 29, 2026

by Nik Kale

· 1,535 Views · 1 Like

How to Protect Your AI Agents from Prompt Injection Attacks: An Active Defense Approach

Stop just blocking prompt injections. Learn how to use MIRAGE to trap AI agents in honeypots and force them to burn their own API tokens.

July 29, 2026

by Victoria Fonareva

· 3,416 Views · 1 Like

Why Standard Test Automation Misses the Failures That Matter in AI Agent Systems

Evaluation has real costs (inference spend, latency, storage) — budget for it explicitly, and treat every user-reported regression as a permanent new test case.

July 28, 2026

by Dimple Bajaj

· 2,857 Views · 4 Likes

AI-Native Developers: Why Fast Authoring Is Creating Bad Debuggers

AI lets juniors write code instantly, but leaves them unable to debug. With coding now being easy, debugging is the ultimate human superpower.

July 28, 2026

by Rakshath Naik

· 1,989 Views · 1 Like

How Does an LLM Request and Response Cycle Work? A Full Walkthrough

Learn how an LLM request and response cycle works, from the second you hit send to the moment the last word lands on your screen.

July 28, 2026

by NaveenKumar Namachivayam

CORE

· 2,853 Views · 3 Likes

From DevOps to AIOps: How Agentic AI Tamed Our Multi-Substrate Chaos

Legacy VMware on-prem, reactive AWS, and a ticket queue that never emptied — we deployed agentic AI across both substrates and changed how the team operates entirely.

July 27, 2026

by Mayank Jain

· 1,923 Views · 2 Likes

Stop Fine-Tuning Everything: A Decision Framework for Model Adaptation

When to prompt, when to fine-tune, when to pre-train — a decision framework to get the most out of your data and the most bang for your buck.

July 27, 2026

by Supriya Vijay

· 2,790 Views · 1 Like

Securing Model Context Protocol Servers: 4 Gates From Code to Production

Secure MCP servers against prompt injection, data leaks, and denial-of-wallet with four practical, OWASP-aligned gates from code to production. Runnable code.

July 24, 2026

by Viquar Khan

CORE

· 4,259 Views · 3 Likes

Building a Runtime Control Plane for Agentic AI: Lessons From Shipping Real Agents in Production

Practical patterns, code examples, and hard-earned lessons from implementing enforceable guardrails around autonomous agents in real enterprise environments.

July 24, 2026

by Geetha Sreenivasa Rao Repalle

· 3,778 Views · 3 Likes

Building Production-Grade Semantic Search With GPT-5 and Microsoft Foundry, From Scratch

Learn key concepts like embeddings, vector search, chunking, hybrid search, semantic ranking, and how these pieces fit into a scalable, enterprise-grade AI application.

July 24, 2026

by Jubin Soni, FBCS

CORE

· 5,213 Views · 2 Likes

Engineering Production Agentic Systems: An Introduction

Explore a three-part field manual on building reliable production AI agents through context engineering, guardrails, and human-in-the-loop architecture.

July 24, 2026

by Ram Ravishankar

· 3,200 Views · 2 Likes

How to Build Living AI Coding Assistants With Quarkus Agent MCP

Supercharge local development with the standalone Quarkus Agent MCP server, allowing AI assistants to run, monitor, and debug Java applications.

July 23, 2026

by Daniel Oh

CORE

· 4,798 Views · 4 Likes

Why AI-Generated Code Fails Security Reviews 45% of the Time

AI coding tools produce security flaws in 45% of outputs, yet developers trust the code more despite no security gains in two years.

July 23, 2026

by sunil paidi

· 3,184 Views · 1 Like

AI and Agentic: Promise, Peril, and Predictability

As the use of AI and agentic AI grows, organizations need to implement strong governance and guardrails to protect their users and themselves.

July 23, 2026

by Bikram Sinha

· 3,888 Views · 1 Like

Treat Your AI's Output Like User Input

AI's output is untrusted input. Validate it, fence it in, and never hand it raw to anything that can do damage — the same reflex you already have for form data.

July 23, 2026

by Naveen Birru

· 2,217 Views · 1 Like

How to Build a Solid Test Pipeline in the Era of Agentic AI Development

Learn to build a strong testing pipeline to ensure code quality, as in enterprises today most code is generated by AI agents at a huge volume and scale.

July 22, 2026

by Sai Rakshit Yerram

· 5,640 Views · 3 Likes

How Agentic AI Is Turning Traditional Automation Into a Tool Layer?

Agentic AI doesn’t replace traditional automation. It uses existing workflows, APIs, and systems as tools while handling decisions, exceptions, and complex tasks.

July 22, 2026

by Sagar Sahay Bhatnagar

· 3,628 Views · 1 Like

Tracing the Agentic Loop: Monitoring Multi-Round-Trip MCP Calls With OpenTelemetry

The latest MCP spec mandates W3C tracing. Use Quarkus and OpenTelemetry to easily visualize disjointed, multi-round-trip AI agent workflows in production.

July 22, 2026

by Daniel Oh

CORE

· 3,553 Views · 2 Likes