AI/ML Resources

Multi-Agent Software Engineering: Can AI Teams Build Production Systems?

Multi-agent AI reaches production readiness through orchestration, durable workflows, observability, and resilience rather than simply adding more models.

August 19, 2026

by Uthej Mopathi

CORE

· 2,833 Views · 4 Likes

Java Enterprise Is Already Ready for the AI Era

Java Enterprise is ready for AI today. Jakarta EE integrates with AI providers and frameworks, while Jakarta Agentic AI and Jakarta EE 12 strengthen it.

August 18, 2026

by Otavio Santana

CORE

· 3,437 Views · 7 Likes

MCP vs A2A vs ACP: How AI Agents Talk to Each Other

Compare MCP, A2A, and ACP to understand how AI agents access tools, delegate work, manage tasks, and communicate securely in production systems.

August 18, 2026

by Yakaiah Bommishetti

· 2,813 Views · 3 Likes

Member Spotlight: Pavan Belagatti

In the first article of this series, we caught up with Pavan to talk about his tech journey, what keeps him learning, and his passion for agentic AI and AI/ML.

August 18, 2026

by Dominique Pugh

· 1,184 Views · 2 Likes

The Embedding Model You Choose Matters More Than Your LLM

Everyone debates GPT-4 vs Claude vs Gemini. Meanwhile, the biggest RAG performance bottleneck is your embedding model. Here's the data, and the fix.

August 17, 2026

by David Taiwo Balogun

· 2,213 Views · 5 Likes

Engineering as a Service Is What Happens When You Let Vibe Coding Win

Vibe coding makes non-engineers capable of prototyping software. What survives is production intuition: knowing how systems fail in ways that were never in the spec.

August 17, 2026

by Dinesh Elumalai

CORE

· 1,298 Views · 4 Likes

Your AI Agent Is a Distributed System, Not a Chatbot

Most AI agent failures are execution failures, not reasoning failures. Durable orchestration helps enterprise agents survive retries, outages, and long-running workflows.

August 17, 2026

by Anuj Kapoor

· 1,654 Views · 4 Likes

Using AIDLC to Build Documents (Not Just Code)

I turned a pile of design docs into a ready-to-deliver KT presentation using AIDLC, with every decision gated, traceable, and logged.

August 17, 2026

by Shaleen Mathur

· 1,108 Views · 1 Like

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

· 2,288 Views · 3 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

· 2,077 Views · 2 Likes

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

· 2,445 Views · 2 Likes

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

· 1,863 Views · 3 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

· 1,729 Views · 5 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

· 2,865 Views · 4 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

· 1,856 Views · 2 Likes

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

· 2,213 Views · 2 Likes

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

· 2,198 Views · 2 Likes

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

· 2,164 Views · 4 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

· 3,096 Views · 3 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

· 3,732 Views · 3 Likes

The Latest AI/ML Topics