AI/ML Resources

Hallucination Has Real Consequences — Lessons From Building AI Systems

This article explains why hallucinations happen, the types, and practical ways to reduce them using RAG, low temperature, guardrails, and validation layers.

May 11, 2026

by Ram Ghadiyaram

CORE

· 2,453 Views · 2 Likes

Improving Java Application Reliability with Dynatrace AI Engine

Leverage Dynatrace’s AI-powered observability to automatically detect anomalies, pinpoint root causes, and prevent performance issues in Java applications.

May 11, 2026

by Ramya vani Rayala

· 1,859 Views · 1 Like

Building a Production-Ready AI Agent in 2026: Beyond the Hello World Demo

Stop treating AI agents like prompts — treat them like software. To ship in 2026: validated tool contracts, tiered memory, RAG grounding, and deep observability.

May 8, 2026

by Nikita Kothari

· 3,054 Views · 2 Likes

Beyond SOLID: Embracing CUPID for Modern Software Craftsmanship

CUPID shifts focus from rigid SOLID rules to practical, human-centric principles that make code composable, idiomatic, and enjoyable to maintain.

May 8, 2026

by Nikita Kothari

· 2,487 Views · 3 Likes

The Only AI Test That Still Humbles Every Machine on Earth

ARC-AGI shows the real gap in AI: humans generalize fast in new situations, while top models still struggle with true adaptive reasoning.

May 8, 2026

by Faisal Feroz

· 3,437 Views · 1 Like

Custom Model Context Protocol (MCP) for NL2SQL: A Rigorous Evaluation Framework on Oracle Database

Used MCP to evaluate LLM-generated SQL on Oracle: baseline vs MCP, comparing semantics, order, strings, and EXPLAIN PLAN on 500-query TPC-H.

May 8, 2026

by Sanjay Mishra

· 1,928 Views

RAG Done Right: When to Use SQL, Search, and Vector Retrieval and How To Combine Them

RAG failures stem from retrieval, not models. Replace one-size-fits-all vector search with a decision framework, hybrid flow, and guardrails for reliable systems.

May 8, 2026

by Ram Ghadiyaram

CORE

· 2,891 Views · 5 Likes

How AI Is Rewriting Full-Stack Java Systems: Practical Patterns with Spring Boot, Kafka and WebSockets

Decouple heavy processing with Spring Boot, Kafka, and WebSockets: AI consumers analyze events asynchronously, while WebSockets deliver real-time insights to users.

May 8, 2026

by Ramya vani Rayala

· 2,749 Views · 1 Like

How to Implement AI Agents in Rails With RubyLLM

Learn how to implement your first AI agents with the help of RubyLLM. Define a chat interface with access to a set of SERP tools that LLM models can use in their work.

May 7, 2026

by Josef Strzibny

· 1,900 Views · 2 Likes

Why Your RAG Pipeline Will Fail Without an MCP Server

RAG was supposed to fix hallucinations. Instead, it quietly introduced a new class of production failures nobody warned you about.

May 7, 2026

by Jaswinder Kumar

· 2,270 Views · 1 Like

Identity Security in the Age of Agentic AI: What Engineers Need to Know

A practical guide to why traditional identity systems break with agentic AI, and what engineers need to architect differently.

May 7, 2026

by Ashly Joseph

· 2,101 Views · 1 Like

Designing Self-Healing AI Infrastructure: The Role of Autonomous Recovery

Distributed AI systems fail faster than humans can respond, making traditional response insufficient. Self-healing systems use telemetry and automation to recover early.

May 7, 2026

by Sayali Patil

· 4,651 Views · 4 Likes

Why AI Forces a Rethink of Everything We Know About Software Security

AI-driven development expands attack surfaces; this article shows how continuous security, zero trust, and runtime enforcement scale DevSecOps in AI pipelines.

May 7, 2026

by Apostolos Giannakidis

CORE

· 2,724 Views · 1 Like

Responsible AI Is an Engineering Problem, not a Policy Document

Responsible AI is an engineering problem and not a policy document. It must be mandatory to ensure AI systems are designed, built, and used responsibly.

May 7, 2026

by Indirakumar Rajendiran

· 1,455 Views

Production Checklist for Tool-Using AI Agents in Enterprise Apps

Tool-using AI agents are production software. The same ops discipline applies, but some traditional assumptions quietly break.

May 7, 2026

by Pier-Jean MALANDRINO

CORE

· 2,853 Views · 1 Like

Reactive Ops to Autonomous Infrastructure: How Agentic AI Is Redefining Modern DevOps

Agentic AI transforms DevOps from reacting to incidents to systems that understand, decide, and act on their own, reducing toil and enabling autonomous infrastructure.

May 7, 2026

by Venkatesan Thirumalai

· 1,621 Views