AI/ML Resources

Stop Building Monolithic AI Brains, Build a Specialist Team Instead

I created a team of specialist agents to handle different parts of a complex task. It's basically microservices for AI, making our app smarter, easier to update and more.

July 7, 2025

by Christina Lin

CORE

· 4,153 Views · 9 Likes

WebAssembly (Wasm) and AI at the Edge: The New Frontier for Real-Time Applications

Revolutionizing real-time application development by combining high-performance, secure, and platform-independent computing with local AI-driven decision-making

July 4, 2025

by Sairamakrishna BuchiReddy Karri

· 2,358 Views · 1 Like

Are Traditional Data Warehouses Being Devoured by Agentic AI?

DSS systems are designed around the logic of human decision-making as the ultimate consumer. However, in Agentic AI era, the final "consumer" is likelier to be an agent.

July 4, 2025

by William Guo

· 2,290 Views · 4 Likes

Leveraging AI: A Path to Senior Engineering Positions

Most software engineers aren't fully utilizing AI tools beyond basic text writing. AI agents can significantly aid engineers in coding and career growth path.

July 4, 2025

by Rohit Garg

· 3,239 Views · 5 Likes

The Evolution of Software Integration: How MCP Is Reshaping AI Development Beyond Traditional APIs

MCP adds a dynamic layer over traditional APIs, enabling AI agents to access tools, context, and real-time data for smarter, more adaptive behavior.

July 4, 2025

by Chetan Yeddula

· 4,845 Views · 8 Likes

How to Use AI to Understand Gaps in Your Resume and Job Descriptions

Inspired by personal experience, this guide shows how AI prompts, coding, and resume analysis can help close skill gaps and land better job matches.

July 3, 2025

by Bharath Kumar Varma Sagi

· 2,226 Views

Self-Supervised Learning Techniques

Self-supervised learning (SSL) techniques like AMDIM and SimCLR enable robust tracking using unlabeled data, reducing costs, enhancing scalability, and improving accuracy

July 3, 2025

by Mostofa Shakib

· 1,801 Views

The OWASP Top 10 for LLM Applications: An Overview of AI Security Risks

Learn the top 10 security risks in LLM apps, from prompt injection to data leaks, and how to build safer, more reliable Gen-AI systems.

July 3, 2025

by Goutham Bandapati

· 1,900 Views · 1 Like

Building V1 Gen-AI Products at Scale: Technical Product Patterns That Work

Shipping Gen-AI V1 requires modular systems, grounding, evaluation, and infrastructure planning, treating it as a product, not a prototype.

July 3, 2025

by Shiva Chandrashekher

· 1,738 Views · 1 Like

Deploying LLMs Across Hybrid Cloud-Fog Topologies Using Progressive Model Pruning

Deploying LLMs at the edge is hard due to size and resource limits. This guide explores how progressive model pruning enables scalable hybrid cloud–fog inference.

July 2, 2025

by Sam Prakash Bheri

· 2,390 Views · 1 Like

MCP and The Spin-Off CoT Pattern: How AI Agents Really Use Tools

I’ve read many articles explaining what MCP is, but none explore how AI actually handles these server interactions under the hood.

July 2, 2025

by Pier-Jean MALANDRINO

CORE

· 1,904 Views · 3 Likes

Vibe Coding: Conversational Software Development — Part 1: Introduction

Explore vibe coding: an AI-driven, natural language approach to rapid software development, enabling fast prototyping, automation, and creative problem-solving.

July 2, 2025

by Gaurav Gaur

CORE

· 4,123 Views · 3 Likes

Reducing Hallucinations Using Prompt Engineering and RAG

Using prompt engineering as a tool to reduce hallucinations with LLMs. This is one of the methodologies I used with LLM to output the desired information.

July 2, 2025

by Pranav Kumar Chaudhary

· 2,817 Views · 3 Likes

Docker Model Runner: A Game Changer in Local AI Development (C# Developer Perspective)

Explore how C# developers can use Docker Model Runner to run AI models locally, reduce setup time, and integrate OpenAI-compatible APIs into their apps.

July 2, 2025

by Naga Santhosh Reddy Vootukuri

CORE

· 5,496 Views · 3 Likes

Reinforcement Learning in CRM for Personalized Marketing

Reinforcement learning (RL) enables CRM systems to build adaptive marketing strategies that optimize not only immediate response but also long-term customer value (CLV).

July 2, 2025

by Sergei Berezin

· 2,092 Views · 2 Likes

A Keycloak Example: Building My First MCP Server Tools With Quarkus

Learn to build an MCP server for Keycloak. The article shows how to create a Model Context Protocol (MCP) server for Keycloak using Quarkus and Goose CLI.

July 1, 2025

by Shaaf Syed

· 3,503 Views · 5 Likes

Ethical AI for Product Owners and Product Managers

In this article, we discuss ethical AI for Product Owners and Product Managers and how to balance AI’s potential with its product discovery and delivery risks.

July 1, 2025

by Stefan Wolpers

CORE

· 1,252 Views · 4 Likes

Zero-Click CRM: The Future of Predictive Customer Management With Autonomous AI

Zero-Click CRM is a new stage in the development of AI-CRM systems, where artificial intelligence independently predicts and initiates interaction with the client.

July 1, 2025

by Sergei Berezin

· 1,999 Views · 2 Likes