AI/ML Resources

Six Patterns for Building Production-Grade AI Quality Systems

AI quality engineering platform should be built on 6 patterns. It is a unique PTAO cognitive loop (Perceive → Think → Act → Observe) that quality-gates.

August 14, 2026

by samarpana rani Nagaiah

· 2,063 Views · 2 Likes

5 Infrastructure Controls for Securing AI Agents

Prompt-based guardrails fail under adversarial pressure. Here are the five controls that helps to validate along with the configuration to implement them.

August 14, 2026

by Shekar Munirathnam

· 1,890 Views · 1 Like

Code Generation Is Solved; Trust Is the Bottleneck

Polygraph is an open-source Claude Code plugin that finds bugs in stateful code (reducers, workflows, checkout flows, session managers) in any language.

August 14, 2026

by Jean-Jacques Dubray

· 2,112 Views · 1 Like

AI-Powered API Development With Spring AI

Learn how to build intelligent, production-ready REST APIs using Spring AI, enabling your Spring Boot applications to integrate LLMs.

August 14, 2026

by Muhammed Harris Kodavath

· 1,590 Views · 2 Likes

Thoughts on Developing With A(ccelerated) I(nference)

Our collaboration with AI is an ongoing experience. Let's explore it, use it as a tool, and let it help us focus on the important parts of problem-solving.

August 14, 2026

by Horatiu Dan

CORE

· 1,622 Views · 4 Likes

Graph Engineering: The Layer After Loop Engineering

A single agent is just the smallest possible graph: one node with an edge back to itself. Most tasks should stay that simple.

August 14, 2026

by Vidyasagar (Sarath Chandra) Machupalli FBCS

CORE

· 2,251 Views · 3 Likes

Enterprise AI Data Engineering With Snowflake Cortex and RAG

Learn how Snowflake Cortex and RAG turn messy enterprise data into reliable AI answers: chunking, vector search, and production pitfalls.

August 13, 2026

by Karini Kapoor

· 1,676 Views · 1 Like

Benchmark LangGraph, Strands, OpenAI Agents, and Google ADK on the Same Agent Graph

An experiment ranks them on latency and tokens with an LLM-as-a-judge quality guardrail; then the same flag promotes the winner to production with no redeploy.

August 13, 2026

by Scarlett Attensil

· 1,890 Views · 1 Like

AI Assist vs AI Complete: The Real Gap in Most AI Workflows Today

The real difference between AI features and AI that finishes the job — most enterprise AI helps with a workflow but doesn't own the outcome.

August 13, 2026

by Muralidharan Lakshmanan

· 1,899 Views · 1 Like

Orchestrating Small Language Models Without Losing Events or Context

Temporal and Kafka orchestrate small language models reliably through durable workflows, ordered events, idempotency, retries, replay, and context preservation.

August 13, 2026

by Akhil Madineni

CORE

· 1,880 Views · 3 Likes

From Microservices to Agent Services: The Next Architectural Shift

AI agents redefine service boundaries by introducing intent-driven orchestration, semantic capabilities, and autonomous decision services.

August 12, 2026

by Uthej Mopathi

CORE

· 2,496 Views · 2 Likes

The AI Memory Security Blueprint

Protect enterprise RAG systems with provenance, context isolation, and vector database governance to reduce retrieval poisoning and prompt injection risks.

August 12, 2026

by Igboanugo David Ugochukwu

CORE

· 3,476 Views · 2 Likes

Building AI-Driven Service Operations: Integrating CRM, Inventory, and Field Service

Effective AI-driven CRM implementations depend on integration with field service, inventory, ERP, and logistics so predictive insights can be executed successfully.

August 12, 2026

by Abhishek Sharma

· 1,779 Views · 2 Likes