AI/ML Resources

Why AI Testing Needs Confidence Scores, Not Just Pass/Fail Results

AI testing needs more than pass/fail results. Confidence scores reveal uncertainty, improve reliability, and enable trustworthy enterprise AI.

August 3, 2026

by Rajeshkumar Rajaseakaran Nair

· 3,503 Views · 4 Likes

The Tectonic AI Platform: A Framework for Taming App Sprawl and Data Fragmentation

Vibe coding and AI-driven development often lead to application sprawl and data fragmentation. Using a Tectonic AI Platform framework can help.

August 3, 2026

by Saravanan Muniraj

· 1,736 Views · 3 Likes

Five Layers Between Your AI Agent and a Production Outage

A single AI guardrail missed 18 of 60 dangerous actions. Five layers on AWS caught all of them, at 94% accuracy.

August 3, 2026

by Manvitha Potluri

· 1,593 Views · 2 Likes

Why Enterprise AI Agents Fail: A Runtime Data Governance Pattern for Reliable Answers

Why enterprise AI agents fail on production data, and a runtime governance pattern using data contracts, lineage signals, and guardrails to prevent it.

August 3, 2026

by Avinash Maddineni

· 3,173 Views · 4 Likes

Your AI-Generated Reports Have No Paper Trail

Most data lineage tools stop tracking when an LLM generates output. This article explains the inference boundary gap and a framework to fix it.

July 31, 2026

by Sashank siwakoti

· 3,466 Views · 2 Likes

Retrieval Augmented Generation With Spring AI 2.0, Claude, and PGvector

Build a RAG service with Spring AI 2.0, Claude, and PGvector that answers questions from your own documents with a single API key.

July 31, 2026

by Murat Balkan

CORE

· 3,264 Views · 2 Likes

Your AI Agent Shipped an Answer. But Did It Earn the Right To?

Bad Agentic AI output is rarely a generation problem. It's usually bad retrieval, bad planning, or bad execution upstream. Measure every stage, not just the result.

July 30, 2026

by Sibanjan Das

· 1,759 Views · 2 Likes

I Built a RAG Agent on Azure AI Foundry in an Afternoon. Here's What Nobody Tells You.

Azure AI Foundry turns RAG setup from a week of manual plumbing into an afternoon of configuration — but access control, security, and cost planning are still on you.

July 30, 2026

by Balaji Venkatasubramaniyar

CORE

· 2,472 Views · 2 Likes

Coordinating AI Agents With AWS SQS: A Practical Queue-Based Architecture

AWS SQS helps multi-agent AI workflows handle retries, duplicates, and repeated failures with queues, idempotency, and DLQs.

July 30, 2026

by Lucas Yoon

· 2,959 Views · 4 Likes

What Is Agentic Test Creation and How Is It Different from AI Test Generation?

Every testing tool now advertises AI test generation. But many of them are just ChatGPT with a QA skin. Here’s how to tell the difference.

July 30, 2026

by John Vester

CORE

· 2,625 Views · 1 Like

Build Your Own Local AI QA Engineer With Docker, Ollama, LibreChat, and Playwright MCP

Learn how to build a completely local AI-powered QA Automation Engineer using Docker, Ollama, Qwen3:8b, LibreChat, and Playwright MCP.

July 30, 2026

by Faisal Khatri

CORE

· 9,433 Views · 2 Likes

Real-Time Risk Signals for AI Agent Authorization

Static auth checks don't react mid-session. Wire SSF risk events to your PDP and block agents the moment something looks wrong.

July 29, 2026

by Vatsal Gupta

· 1,856 Views · 2 Likes

AI in SRE: A Practical Autonomy Model for Self-Healing Infrastructure

A practical framework for graduated autonomy in self-healing infrastructure, covering three remediation tiers and policy-driven blast-radius controls for cloud SRE teams.

July 29, 2026

by Shraddhaben Gajjar

· 3,798 Views · 3 Likes

What Nobody Tells You About Running AI Models in Docker

At 2 am, a bloated 14GB Docker image with baked-in weights crashed our inference service; externalizing weights and rethinking GPU isolation fixed it.

July 29, 2026

by Pruthvi Raj Seknametla

· 35,093 Views · 3 Likes

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

· 1,607 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

· 3,504 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

· 2,992 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

· 2,053 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

· 2,940 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

· 2,004 Views · 2 Likes

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