AI/ML Resources

From Stream to Strategy: How TOON Enhances Real-Time Kafka Processing for AI

The TOON data format specifically targets the propagation of structured, validated, and semantically consistent data, thereby reducing ambiguity in real time.

March 27, 2026

by Gautam Goswami

CORE

· 2,100 Views

Automating Maven Dependency Upgrades Using AI

Build an AI-driven Maven dependency upgrade pipeline that detects outdated libraries, applies safe updates, generates notes, and auto-creates tested PRs.

March 26, 2026

by Sravan Reddy Kathi

· 4,118 Views · 2 Likes

MinIO AIStor and Ampere® Computing Reference Architecture for High-Performance AI Inference

MinIO AIStor delivers high-performance, scalable object storage for AI workloads with Ampere CPUs, optimized for inference, analytics, and cloud-native environments.

March 26, 2026

by Tinh Nguyen

· 2,682 Views · 1 Like

Microsoft Responsible AI Principles Explained for Engineers

This is for engineers, architects, and ML practitioners who want to move beyond theory. It reframes Microsoft’s responsible AI principles as engineering responsibilities

March 26, 2026

by Indirakumar Rajendiran

· 2,750 Views · 1 Like

Isolation Boundaries in Multi-Tenant AI Systems: Architecture Is the Only Real Guardrail

In multi-tenant AI systems, true isolation needs structural boundaries across storage, vector namespaces, execution, and queue layers to survive retries and concurrency.

March 26, 2026

by Aditya Gupta

· 2,387 Views

Stateful AI: Streaming Long-Term Agent Memory With Amazon Kinesis

Stream every agent interaction into vector memory for real-time, scalable, persistent, fully queryable, and context-rich AI memory.

March 26, 2026

by Jubin Soni, FBCS

CORE

· 2,571 Views

MCP vs Skills vs Agents With Scripts: Which One Should You Pick?

Learn about when to use MCP, skills, and agents with scripts. How are they different from each other and what are they actually meant to be used for.

March 26, 2026

by Vidyasagar (Sarath Chandra) Machupalli FBCS

CORE

· 5,135 Views · 4 Likes

Why RAG Alone Isn’t Enough: How MCP Completes the Agentforce Intelligence Stack?

RAG fetches context, but MCP adds reasoning, tool orchestration, and observability, making AI agents reliable and operational at enterprise scale.

March 26, 2026

by Deepak Bahuleyan

· 3,961 Views

Bringing AI Agents to Cloud Engineering: How Autonomous Operations Are Changing Reliability at Scale

AI agents turn cloud operations from reactive automation into adaptive systems by combining observability, autonomy, and engineering judgment.

March 26, 2026

by Arvind Gautam

· 102,822 Views

Beyond “Lift-and-Shift”: How AI and GenAI Are Automating Complex Logic Conversion

Overcome the manual migration wall by using an AI-native stack that combines deterministic parsing and GenAI to automate complex logic conversion.

March 25, 2026

by Rudrendu Paul

· 1,625 Views · 1 Like

AI Agents vs LLMs: Choosing the Right Tool for AI Tasks

Use an LLM for single-step tasks; use an AI agent when the job needs planning + tool/API orchestration across multiple steps.

March 25, 2026

by Faisal Feroz

· 2,956 Views · 2 Likes

Tokens and Transactions With AI

Jensen Huang’s GTC 2026 keynote shows how databases evolve from transaction systems to AI-driven platforms supporting tokens, reasoning, and agentic workflows.

March 25, 2026

by Keshav Murthy

CORE

· 2,283 Views · 1 Like

Privacy-Conscious AI Development: How to Ship Faster Without Leaking Your Crown Jewels

AI speeds up development can leak secrets when use third-party tools. Layer GHAS with Grype for local/offline vulnerability scanning.

March 25, 2026

by Hanna Labushkina

· 1,265 Views

Operationalizing Agentic AI in Enterprises: A Problem-Constraints-Tradeoffs Case

Enterprise agentic AI needs bounded autonomy, system-level oversight, human checkpoints, and reversible rollouts to ensure stability, trust, and accountability.

March 25, 2026

by Tuhin Chattopadhyay

CORE

· 911 Views

Agent-of-Agents Pattern: Enhancing Software Testing

Multi-agent AI validation replaces slow, costly full regression testing by intelligently selecting and running only the tests relevant to your code changes.

March 24, 2026

by Vineet Bhatkoti

· 4,639 Views · 1 Like

Building Scalable Agentic Assistants: A Graph-Based Approach

This article explains how a graph-based, multi-agent architecture improves scalability, routing, and maintainability compared to monolithic agent designs.

March 24, 2026

by Abhishek Sant

· 2,396 Views · 2 Likes

Building an Agentic AIOps Pipeline With IBM Storage Insights, n8n, and Elastic

Build an automated human-in-the-loop AIOps pipeline using n8n, Elastic, and AI to filter IBM Storage Insights alerts to reduce alert fatigue.

March 24, 2026

by Randhir Singh

· 1,190 Views

Why AI Agents Are the New Backbone of Software Quality

Agentic AI is turning QA from scripted execution into autonomous, risk-driven orchestration. Faster releases, smarter testing, but still guided by humans.

March 23, 2026

by Pavel Novik

· 1,694 Views

Securing the Software Supply Chain in the Age of AI Agent Swarms

As AI agents accelerate software delivery, teams need automated trust controls, signed provenance, and runtime enforcement to keep releases fast and verifiable.

March 23, 2026

by Niranjan Kumar Sharma

· 1,267 Views

Getting Started With Qwen Code for Coding Tasks

In this article, learn about Qwen Code, a terminal-based AI coding assistant optimized for Qwen3-Coder. Learn setup, commands, testing, and workflow tips.

March 23, 2026

by Gunter Rotsaert

CORE

· 1,649 Views

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