AI/ML Resources

GraphRAG Retrieval Is Three Decisions: Granularity, Mechanism, and Paradigm

This article walks you through the major retrieval mechanisms with runnable Cypher examples and explains when to use each.

August 4, 2026

by Lokesh Prakash Manohar

· 1,608 Views · 1 Like

Understanding Agentic SDLC: The Future of Software Engineering

This article walks you through the fundamentals of agentic SDLC, its core components, and how it works in modern software engineering.

August 4, 2026

by Pavan Belagatti

CORE

· 3,115 Views · 2 Likes

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

· 1,976 Views · 3 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

· 1,568 Views · 2 Likes

Five Layers Between Your AI Agent and a Production Outage

Single-layer AI guardrails hit a 40% false-positive rate. My five-layer architecture on live AWS achieved 94% accuracy and 0% false negatives on destructive operations.

August 3, 2026

by Manvitha Potluri

· 1,405 Views · 1 Like

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

· 2,626 Views · 3 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

· 3,348 Views · 1 Like

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

· 2,845 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

· 1,622 Views · 1 Like

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

· 2,248 Views · 1 Like

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

· 2,792 Views · 3 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

· 2,432 Views

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

· 8,887 Views · 1 Like

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

· 1,771 Views · 1 Like

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

· 3,473 Views · 2 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

· 34,832 Views · 2 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

· 1,473 Views

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

· 3,350 Views

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

· 2,740 Views · 3 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

· 1,938 Views

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