AI/ML Resources

Enterprise-Grade Document Intelligence: Cloud Big Data AI With YOLOv9 and Spark on AWS

Automate document analysis with YOLOv9, Apache Spark, and AWS. Boost speed, accuracy, and fraud detection across finance, healthcare, insurance, and more.

October 27, 2025

by Ram Ghadiyaram

CORE

· 2,573 Views · 4 Likes

Kubernetes Debugging Recipe: Practical Steps to Diagnose Pods Like a Pro

Adopt step-by-step debugging with kubectl, ephemeral containers, and AI-powered RCA to find root causes faster. Add predictive autoscaling and anomaly detection.

October 24, 2025

by Chandrasekhar Rao Katru

· 4,851 Views · 8 Likes

Cloud Agnostic MLOps: How to Build and Deploy AI Models Across Azure, AWS, and Open Source

Avoid cloud lock-in when building AI. Learn how to use open-source MLOps tools like Airflow, Kubeflow, and MLflow to build, deploy, and monitor models anywhere.

October 24, 2025

by Raghava Dittakavi

CORE

· 3,489 Views · 1 Like

I Built a Full Stack App Using Only Vibe Coding Prompts: Here’s What Happened

Discover how “vibe coding” blends instinct, experience, and AI assistance to unlock a new developer mindset that balances creativity, flow, and precision.

October 24, 2025

by Jyothsna devi

· 5,840 Views · 3 Likes

AI Won't Replace Front-End Developers, It'll Replace the Boring Parts

AI won't replace frontend developers. Rather, it will replace the tedious, repetitive work that often drains our creativity.

October 23, 2025

by Ajay Yadav

· 5,392 Views · 3 Likes

LangGraph Beginner to Advanced: Part 2 — Hello World Graph in LangGraph

We’re actually about to start coding in LangGraph for the very first time. Now that we’ve covered all the theory, admittedly, the boring section.

October 23, 2025

by Mohammed Talib

· 2,601 Views · 1 Like

Series: Toward a Shared Language Between Humans and Machines

Modern LLMs are fluent, but lack "world experience." We must explore the foundations needed for genuine common ground between human meaning and machine logic.

October 23, 2025

by Frederic Jacquet

CORE

· 1,679 Views · 3 Likes

Fundamentals of Logic Hallucinations in AI-Generated Code

Learn how AI tools can generate logical errors in code, tests, and architecture, and discover ways to detect and prevent these hallucinations.

October 23, 2025

by Stelios Manioudakis

CORE

· 9,176 Views · 2 Likes

How to Build an MCP Server and Client With Spring AI MCP

Benefit from a cohesive system where individual components, such as LLM, MCP server, and MCP client, integrate seamlessly to deliver meaningful results.

October 23, 2025

by Horatiu Dan

CORE

· 3,845 Views · 6 Likes

From Platform Cowboys to Governance Marshals: Taming the AI Wild West

AI feels like the Wild West — platform engineers must become governance marshals to scale trust and turn chaos into safe, sustainable innovation.

October 22, 2025

by Hugo Guerrero

CORE

· 2,543 Views · 1 Like

AI/ML-Based Storage Optimization: Training a Model to Predict Costs and Recommend Configurations

Learn how to use AI and Python to predict AWS S3 storage costs, optimize data tiers, and automate cloud cost management with machine learning.

October 22, 2025

by Arjun Mullick

· 3,415 Views · 2 Likes

Next-Gen DevOps: Rule-Based AI Auto-Fixes for PMD, Veracode, and Test Failures

Learn how to build self-healing CI/CD pipelines that fix minor code issues automatically, reduce developer toil, and keep your DevOps flow fast and reliable.

October 21, 2025

by Sivasai Nadella

· 2,708 Views

The Dangerous Middle: Agile Roles That AI Will Erode First

The Dangerous Middle: Learn about what Peter Yang's product management framework reveals about the future of scrum masters and agile coaches.

October 21, 2025

by Stefan Wolpers

CORE

· 2,850 Views · 2 Likes

AI-Driven Enhancements to Project Risk Management in the PMO

Discover how AI is reshaping risk management with actionable tips and insights into new trends like real-time prediction and automated analysis.

October 20, 2025

by Vitalii Oborskyi

· 1,409 Views · 1 Like

Creating AI Agents Using the Model Context Protocol: A Comprehensive Guide to Implementation with C#

This article provides a hands-on tutorial for building AI agents using the Model Context Protocol (MCP) and C#, an open standard that enables Large Language Models (LLMs)

October 20, 2025

by Nilesh Bhandarwar

· 3,767 Views

3 Dangerous Paradoxes of AI in Software Development

Let’s cut through the AI noise: here are three paradoxes of our brave new world of software development, and what they mean for teams on the ground.

October 20, 2025

by Marcus Merrell

· 1,746 Views

AI-Powered Cybersecurity: Inside Google’s Gemini and Microsoft’s Security Copilot

AI is reshaping cybersecurity. Here's how Google Gemini shields consumers on-device, while Microsoft Security Copilot automates enterprise detection and response.

October 17, 2025

by Sairamakrishna BuchiReddy Karri

· 5,957 Views · 1 Like

We Tested Context7 With ZK Documentation: Here's What We Learned

We tested how Context7’s documentation integration affects AI-generated answers for ZK Framework questions. Surprisingly, it didn’t improve results.

October 17, 2025

by Hawk Chen

CORE

· 3,765 Views · 4 Likes

From Ticking Time Bomb to Trustworthy AI: A Cohesive Blueprint for AI Safety

AI agents expand attack surfaces, demanding safety by design, advanced red teaming, and shared benchmarks to build secure, trustworthy intelligent systems.

October 16, 2025

by Anna Bulinova

· 2,434 Views · 1 Like

The Ethics of AI Exploits: Are We Creating Our Own Cyber Doomsday?

With growing computing power for AI and its misuse in cyberattacks like autonomous exploits, deepfake scams, and smart malware becomes even more worrisome.

October 16, 2025

by Omkar Bhalekar

· 3,602 Views · 2 Likes

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