AI/ML Resources

How Modern Developers Use AI-Assisted Coding to Validate Products Faster

Learn how developers use AI-assisted coding to validate products 55% faster through automated testing, rapid prototyping, and streamlined code reviews.

October 31, 2025

by Henry Ameseder

· 2,156 Views · 3 Likes

An Open-Source ChatGPT App Generator

Create fully functional ChatGPT apps using AI — no coding needed. Build and deploy interactive UI widgets directly inside ChatGPT in just minutes.

October 31, 2025

by Thomas Hansen

CORE

· 1,863 Views · 4 Likes

Keyword vs Semantic Search With AI

Learn in this article how to build keyword-based and semantic search in MariaDB using Python, LangChain, FastAPI, and AI embeddings.

October 30, 2025

by Alejandro Duarte

CORE

· 1,889 Views · 4 Likes

Improving Developer Productivity With End-to-End GenAI Enablement

Build an end-to-end developer enablement hub locally with GenAI, automating everything from requirements to deployment to boost productivity and streamline workflows.

October 30, 2025

by Nabin Debnath

· 2,520 Views · 2 Likes

Building a New Testing Mindset for AI-Powered Web Apps

Learn about AI-powered testing strategies to ensure your intelligent systems are reliable, ethical, and aligned with business goals.

October 30, 2025

by Kailash Pathak

CORE

· 2,112 Views · 2 Likes

From Autocomplete to Co-Creation: How AI Changes Developing/Debugging Workflows in Engineering

AI is not a replacement for engineers but a powerful partner that accelerates coding, debugging, and learning; human judgment still drives the real innovation.

October 29, 2025

by Aishwarya Murali

· 2,456 Views · 1 Like

Emerging Patterns in Large-Scale Event-Driven AI Systems

Build scalable AI event pipelines with Kafka to enable continuous learning systems that perceive, reason, and act in real time.

October 29, 2025

by Devdas Gupta

· 2,785 Views · 4 Likes

End of Static Knowledge Bases? How MCP Enables Live RAG

Learn why static RAG systems fail over time and how the Model Context Protocol (MCP) enables live, hybrid AI architectures that stay accurate and up to date.

October 29, 2025

by Janani Annur Thiruvengadam

CORE

· 2,147 Views · 2 Likes

Series (2/4): Toward a Shared Language Between Humans and Machines — From Multimodality to World Models: Teaching Machines to Experience

Explores technologies attempting to bridge the gap through perception: multimodal systems, digital twins, and research efforts to create World Models.

October 29, 2025

by Frederic Jacquet

CORE

· 2,081 Views · 1 Like

A Developer's Practical Guide to Support Vector Machines (SVM) in Python

Learn how to build, tune, and evaluate high-performance SVM models in Python using Scikit-learn with best practices for scaling, pipelines, and ROC-AUC.

October 29, 2025

by Soumya Banerjee

· 2,541 Views · 2 Likes

HSTS Beyond the Basics: Securing AI Infrastructure and Modern Attack Vectors

HTTP Strict Transport Security (HSTS) is a web security policy mechanism that helps protect websites against protocol downgrade attacks and cookie hijacking.

October 29, 2025

by Vidyasagar (Sarath Chandra) Machupalli FBCS

CORE

· 2,114 Views · 4 Likes

Building Cloud Ecosystems With Autonomous AI Agents: The Future of Scalable Data Solutions

Autonomous AI agents transform cloud ecosystems by automating data workflows, enhancing scalability, governance, and real-time analytics for resilient operations.

October 28, 2025

by Aravind Nuthalapati

CORE

· 10,479 Views · 1 Like

Production-Ready Multi-Agent Systems: From Theory to Enterprise Deployment

Learn in this article why single AI agents fail and how multi-agent systems used by Uber, LinkedIn, and Klarna achieve 3x faster performance and 40% lower costs.

October 28, 2025

by Praveen Chinnusamy

· 24,150 Views · 2 Likes

Amazon Bedrock Guardrails for GenAI Applications

Guardrails let you create responsible AI policies for generative AI apps. Set limites on topics and content, filter to block or mask unwanted outputs, then apply, test, and version guardrails across models for safety and consistency.

October 28, 2025

by Prabhakar Mishra

· 2,470 Views

Unpacking MCP Security: What You Need to Know

MCP supercharges AI agents by bridging LLMs and real-world tools, but may open the door to security gaps. A quick look at security challenges and how to resolve them.

October 28, 2025

by Rushil Shah

· 1,645 Views

Using Schema Registry to Manage Real-Time Data Streams in AI Pipelines

Learn how schema registries ensure data consistency, integrity, and scalability in real-time AI pipelines using Apache Kafka and modern streaming tools.

October 27, 2025

by Gautam Goswami

CORE

· 2,384 Views · 3 Likes

Anthropic’s Model Context Protocol (MCP): A Developer’s Guide to Long-Context LLM Integration

Anthropic’s Model Context Protocol (MCP) standardizes how AI applications provide context to LLMs. Learn more about MCP and its practical uses.

October 27, 2025

by Naresh Dulam

· 5,426 Views · 4 Likes

Series (1/4): Toward a Shared Language Between Humans and Machines — Why Machines Still Struggle to Understand Us

The absence of lived experience and a "world model" in current algorithms creates a deep divide between human intention and algorithmic operation.

October 27, 2025

by Frederic Jacquet

CORE

· 2,002 Views · 2 Likes

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

· 2,486 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

· 4,694 Views · 8 Likes

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