AI/ML Resources

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

· 4,445 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

· 4,957 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

· 2,034 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

· 2,111 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

· 2,528 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

· 5,615 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

· 5,635 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

· 2,450 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

· 5,736 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

· 2,266 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

· 2,344 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

· 3,807 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

· 2,399 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

· 3,665 Views · 4 Likes

The Tech Landscape of 2026: What Developers Need to Learn Now

This guide outlines the emerging themes and skills you need to succeed for designing and securing intelligent systems heading into 2026.

November 5, 2025

by Kailash Pati Dutta

· 7,721 Views · 20 Likes

AI-Assisted Software Engineering With OOPS, SOLID Principles, and Documentation

Top-down defines the "what"; bottom-up builds the "how." OOP and SOLID enable flexible, reusable design. AI helps, but only with a clear structure and context.

November 5, 2025

by Narendran Solai Sridharan

· 3,578 Views · 1 Like

Series (4/4): Toward a Shared Language Between Humans and Machines — Humans as Co-Creators: Ethics, Strategy, and the Future of a Shared Language

The focus is on the ethical, cultural, and strategic choices necessary to guide AI as a partner, ensuring we preserve human uniqueness while collaborating.

November 4, 2025

by Frederic Jacquet

CORE

· 1,687 Views · 3 Likes

Agentic AI Using Apache Kafka as Event Broker With the Agent2Agent Protocol (A2A) and MCP

Agentic AI becomes scalable and production-ready when powered by Apache Kafka with MCP and A2A for real-time, decoupled agent communication.

November 4, 2025

by Kai Wähner

CORE

· 2,595 Views · 7 Likes

Top Takeaways From Devoxx Belgium 2025

In October 2025, Devoxx Belgium showcased its 22nd edition, emphasizing Java and AI advancements. Sessions covered were AI workflows, architecture decisions, and more.

November 4, 2025

by Gunter Rotsaert

CORE

· 1,814 Views · 3 Likes

AIOps to Agentic AIOps: Building Trustworthy Symbiotic Workflows With Human-in-the-Loop LLMs

Build secure, human-in-the-loop AIOps workflows using agentic AI for smart alert triage, context summarization, and automated, safe incident resolution.

November 4, 2025

by Pratik Prakash

CORE

· 4,513 Views

The Latest AI/ML Topics