AI/ML Resources

Learn what Model Context Protocol (MCP) is and isn’t, how MCP clients and servers work, and how to build and test an MCP server locally using Python.

February 13, 2026

by Kumar Abhishek

· 2,463 Views · 3 Likes

Green AI in Practice: How I Track GPU Hours, Energy, CO₂, and Cost for Every ML Experiment

Practice Green AI by tracking GPU-hours, energy, and cost for every ML run, so you pick models that are not just accurate, but also cheaper, leaner, and greener.

February 13, 2026

by Sai Teja Erukude

· 3,864 Views · 2 Likes

The Human Bottleneck in DevOps: Automating Knowledge with AIOps and SECI

DevOps pipelines are often automated, yet the operations side remains surprisingly manual. Here’s a framework to reduce toil using AIOps and the SECI model.

February 13, 2026

by Dippu Kumar Singh

· 1,764 Views · 1 Like

Serverless Is Not Cheaper by Default

A clear-eyed breakdown of serverless costs — why they’re hidden, when they make sense, and how to choose between functions and containers before surprises hit your bill.

February 13, 2026

by David Iyanu Jonathan

· 2,298 Views · 1 Like

A Developer-Centric Cloud Architecture Framework (DCAF) for Enterprise Platforms

Developer-Centric Cloud Architecture Framework (DCAF) introduces a platform architecture framework that codifies architectural intent through meaningful invariants.

February 12, 2026

by Chandrasekhar Rao Katru

· 2,953 Views · 6 Likes

Building Trust in LLM-Generated Code Reviews: Adding Deterministic Confidence to GenAI Outputs

LLMs are excellent at generating code reviews, but production systems need more than just recommendations — they need trust.

February 12, 2026

by pooja chhabra

· 1,401 Views

Golden Paths for AI Workloads - Standardizing Deployment, Observability, and Trust

Golden Paths enable scalable AI by standardizing deployment, observability, drift detection, and governance as built-in platform defaults.

February 12, 2026

by Josephine Eskaline Joyce

CORE

· 2,449 Views · 2 Likes

How AI-Driven Software Automation Reduced Deployment Failures by 40%?

Deployment failures cost millions and exhaust teams. Learn how software deployment automation helps prevent release issues and ensures smoother launches.

February 11, 2026

by Nathan Smith

· 1,528 Views

Why SAP BDC Is a Game Changer for SAP Data

SAP BDC (Business Data Cloud) is considered a game changer for SAP’s data portfolio, turning SAP into a modern, open, and AI-ready data platform.

February 11, 2026

by Srinivasarao Rayankula

· 2,093 Views · 1 Like

The AI Firewall: Using Local Small Language Models (SLMs) to Scrub PII Before Cloud Processing

Learn how to run small language models locally as an AI firewall to detect and scrub PII from data before sending it to cloud AI services.

February 10, 2026

by Rambabu Bandam

· 3,352 Views

A Pattern for Intelligent Ticket Routing in ITSM

Manual ticket routing is a hidden tax on IT efficiency. Here is an architectural pattern for using Logistic Regression and Skype status APIs to automate this.

February 10, 2026

by Dippu Kumar Singh

· 1,234 Views

Query-Aware Retrieval Routing for Analytics on AWS: When to Use Redshift, OpenSearch, Neptune, or Cache

Use a query router for LLM analytics — Redshift (KPIs), OpenSearch (definition), Neptune (lineage), and Cache (repeats) — to improve accuracy, latency, and costs.

February 10, 2026

by Anusha Kovi

CORE

· 1,096 Views · 1 Like

Context Engineering Is a Must-Learn Skill: Here's How Everyone Can Master It

Learn context engineering to build better AI apps. This guide covers key techniques, practical examples, and resources to master this essential AI skill.

February 9, 2026

by Rambabu Bandam

· 2,352 Views · 1 Like

An AI-Driven Architecture for Autonomous Network Operations (NetOps)

NetOps teams often face a skills gap when troubleshooting complex infrastructure. This article presents an automation pattern for an AI co-pilot for incident response.

February 9, 2026

by Dippu Kumar Singh

· 1,547 Views

Agile’s AI-Driven Paradigm Shift

Agile’s AI-driven paradigm shift is here. “Good enough Agile” provides an income or perspective. Will you adapt—or fall behind?

February 9, 2026

by Stefan Wolpers

CORE

· 5,222 Views · 3 Likes

Model Context Protocol Vs Agent2Agent: Practical Integration with Enterprise Data

MCP is production-ready for LLM-to-tool integration; A2A enables emerging multi-agent collaboration. They complement, not compete, and neither replaces Spark or Airflow.

February 9, 2026

by Ram Ghadiyaram

CORE

· 1,673 Views · 1 Like

Understanding AI Agent Types:Guide to 8 Modern AI Architectures

A guide to eight AI agent types with implementations, real-world use cases, and selection framework. Learn about LCM, HRM, LAM, SLM, VLM, LRM, MOE, and GPT architectures.

February 6, 2026

by Ram Ghadiyaram

CORE

· 3,325 Views · 1 Like

The Self-Healing Directory: Architecting AI-Driven Security for Active Directory

Active Directory is the heartbeat of the enterprise, and a favorite target of attackers. Here is an architectural pattern for AI-driven anomaly detection and remediation.

February 6, 2026

by Dippu Kumar Singh

· 981 Views

Hybrid Vector Graph with AI Agents for Software Test Case Creation

This article shows how multi-agent, vector-graph systems automate test creation, cutting manual effort while increasing coverage.

February 6, 2026

by Mohanakrishnan Hariharan

· 1,043 Views

Principles for Operating Large-Scale Global Production Systems with AI Innovation Across the Stack

AI speeds detection and remediation, protects error budgets, and boosts availability, linking reliability to user satisfaction at scale.

February 5, 2026

by Sayantan Ghosh

· 870 Views

The Latest AI/ML Topics