AI/ML Resources

Agentic AI addresses API testing issues through test creation and maintenance, intelligent test coverage, and more. Here's how to prepare development workflows for AI.

November 17, 2025

by Zac Amos

· 3,091 Views · 3 Likes

From Agent AI to Agentic AI: Building Self-Healing Kubernetes Clusters That Learn

Evolving from reactive Agent AI to autonomous Agentic AI: a self-healing Kubernetes system that learns from fixes and applies patterns automatically.

November 17, 2025

by Shamsher Khan

CORE

· 3,351 Views · 1 Like

Evaluating AI Vulnerability Detection: How Reliable Are LLMs for Secure Coding?

Can AI spot real-world security bugs? Semgrep’s research compares LLMs on their ability to catch SQLi, XSS, and IDOR vulnerabilities.

November 14, 2025

by Jayson DeLancey

· 4,492 Views · 4 Likes

Best Practices for Migrating Data From Legacy Systems With AI

In this article, I will share my experience with AI-powered data migration, including what worked well and key lessons learned along the way.

November 14, 2025

by Mykhailo Kopyl

· 3,200 Views · 4 Likes

Exploring MCP, A2A, and Functional Calling: The Modern Innovations for Enterprise LLM Architecture

MCP, A2A, and functional calling are crucial for next-generation AI ecosystems. Learn more about integrating these approaches in your organizational AI strategies.

November 14, 2025

by Damodhara Reddy Palavali

· 1,673 Views · 1 Like

Databricks vs Snowflake: Complete Architecture Mapping for Enterprise AI and Big Data

This guide maps core data, big data, and AI/ML concepts between Databricks and Snowflake, with examples, diagrams, and a framework for choosing or combining the two.

November 13, 2025

by Ram Ghadiyaram

CORE

· 7,259 Views · 7 Likes

AI SDLC Transformation, Part 1: Where to Start?

Learn how to successfully adopt AI in software delivery by measuring transformation, starting small, and creating AI-ready processes and teams.

November 13, 2025

by Orkhan Gasimov

· 3,798 Views · 3 Likes

Facilitate AI-Human Architectural Thinking

Three pillars of the thinking framework: landscape view, decisional view, and structural view — an effective architectural modeling approach.

November 12, 2025

by Sean Gu

· 4,235 Views · 2 Likes

From Developer to AI Teammate: Building an Agentic Automation Prototype

Transform repetitive developer workflows into an intelligent, AI-powered teammate using LangChain, retrieval-augmented generation (RAG), and lightweight automation loops.

November 12, 2025

by Sayan Chatterjee

· 1,840 Views · 2 Likes

AI Code Refactoring: Principles, Techniques, and Benefits

Refactoring enhances code quality, performance, and maintainability using AI to automate improvements. Key principles are readability, modularity, and efficiency.

November 12, 2025

by Mitchell Jhonson

· 1,924 Views · 2 Likes

A Growing Security Concern: Prompt Injection Vulnerabilities in Model Context Protocol Systems

Prompt injection can make AI assistants a privilege‑escalation risk. Learn attack patterns and layered defenses: isolation, sanitization, validation.

November 11, 2025

by Janani Annur Thiruvengadam

CORE

· 2,207 Views · 4 Likes

Creating an MCP Server With Spring AI

This article provides a step-by-step guide to creating a Model Context Protocol (MCP) server using Spring AI and explains the advantages of using MCP.

November 11, 2025

by Gunter Rotsaert

CORE

· 5,151 Views · 6 Likes

Docker Security: 6 Practical Labs From Audit to AI Protection

Master Docker security with six practical labs that take you from basic configuration audits to advanced AI workload protection

November 10, 2025

by Shamsher Khan

CORE

· 5,024 Views · 6 Likes

How Tool-Call Observability Enables You to Support Reliable and Secure AI Agents

Observability is key for performance and data security. Here's how to build the essential components into your AI agent infrastructure

November 10, 2025

by Gil Feig

· 2,173 Views · 2 Likes

GitOps-Backed Agentic Operator for Kubernetes: Safe Auto-Remediation With LLMs and Policy Guardrails

Create an AI-driven Kubernetes Operator that analyzes failures, generates fixes with LLMs, validates them with OPA, and applies changes safely via GitOps.

November 10, 2025

by Sajal Nigam

· 5,002 Views · 4 Likes

AI-Driven Generative Design: Automating Architectural Layouts

AI-driven generative design automates architectural layouts using optimization and machine learning, enabling faster, smarter, and data-driven design solutions.

November 10, 2025

by Gurcharan Singh

· 1,906 Views

Beyond Dashboards: How Autonomous AI Agents Are Redefining Enterprise Analytics

Agentic AI is fundamentally changing how organizations extract insights from data and make strategic decisions, moving from reactive reporting to autonomous intelligence.

November 7, 2025

by Mohan Krishna Mannava

· 2,120 Views · 2 Likes

Prompt Engineering vs Context Engineering

Use prompt engineering for experimentation; use context engineering for production systems requiring accuracy and consistency

November 7, 2025

by Vineet Bhatkoti

· 3,291 Views · 3 Likes

Build a LangGraph Multi-Agent System in 20 Minutes With LaunchDarkly AI Configs

Use LangGraph workflows that get their intelligence from RAG search, enhanced with MCP tools for live external data, and LaunchDarkly AI Configs—all without code changes.

November 5, 2025

by Scarlett Attensil

· 2,249 Views · 6 Likes

AI Code Generation: The Productivity Paradox in Software Development

AI boosts coding speed short-term, but long-term gains need human oversight, reuse, and focus on code quality beyond cycle time.

November 5, 2025

by Ammar Husain

CORE

· 3,133 Views · 4 Likes

The Latest AI/ML Topics