AI/ML Resources

AI-Assisted Coding for iOS Development: How Tools like CursorAI Are Redefining the Developer Workflow

AI Assisted coding is changing iOS development fundamentally. Tools like CursorAI are helping iOS developers ship apps faster.

May 2, 2025

by Prithiv Dev Devendran

· 2,725 Views

Unlocking AI Coding Assistants Part 4: Generate Spring Boot Application

Determine whether it's feasible to build a production-grade Spring Boot application from scratch using a large language model (LLM) as an AI coding assistant.

May 2, 2025

by Gunter Rotsaert

CORE

· 4,413 Views · 3 Likes

My LLM Journey as a Software Engineer Exploring a New Domain

Here is rant about a software engineer putting on a non-developer hat by leveraging AI to attempt to conquer an unfamiliar territory.

May 1, 2025

by Dale Waterworth

· 3,186 Views · 1 Like

Evolution of Cloud Services for MCP/A2A Protocols in AI Agents

The adoption of MCP and A2A protocols is reshaping cloud service architectures by enabling the development of modular, interoperable, and scalable AI systems.

May 1, 2025

by Bhala Ranganathan

CORE

· 4,985 Views · 4 Likes

Unlocking AI Coding Assistants Part 3: Generating Diagrams, Open API Specs, And Test Data

Learn how to leverage AI assistants like LLMs to speed up development tasks such as generating UML diagrams, OpenAI specs, test data, and code.

May 1, 2025

by Gunter Rotsaert

CORE

· 6,529 Views · 1 Like

Google Cloud Document AI Basics

This simple example shows how to use a custom extractor in Google's Doc AI to process W-2s and use a PDF as part of the context to Gemini.

April 30, 2025

by Imran Burki

· 4,953 Views · 2 Likes

Docker Model Runner: Streamlining AI Deployment for Developers

Docker Model Runner is a tool introduced to simplify running and testing AI models locally, integrating seamlessly into existing workflows.

April 30, 2025

by Ram Chandra Sachan

· 24,118 Views · 18 Likes

The Modern Data Stack Is Overrated — Here’s What Works

The modern data stack is overrated. What works? Fewer tools, clear ownership, and systems your team actually understands.

April 29, 2025

by Rahul .

· 4,116 Views · 2 Likes

Unlocking AI Coding Assistants Part 2: Generating Code

Examine the effectiveness of AI coding assistants, highlight their potential and limitations in generating javadoc, names, and performing small coding tasks.

April 29, 2025

by Gunter Rotsaert

CORE

· 3,103 Views · 2 Likes

Build an MCP Server Using Go to Connect AI Agents With Databases

Learn to build an MCP server using Go to connect AI agents with Azure Cosmos DB, enabling seamless database interactions with Go SDK and mcp-go tools.

April 29, 2025

by Abhishek Gupta

CORE

· 3,895 Views · 3 Likes

The Role of Artificial Intelligence in Climate Change Mitigation

AI’s role in tackling climate change is set to grow significantly, driving innovative solutions through deeper analysis and machine learning.

April 29, 2025

by Dennis Helfer

· 1,787 Views · 1 Like

Filtering Messages With Azure Content Safety and Spring AI

Learn how to use Azure Content Safety with Spring AI to detect harmful input and prevent unsafe messages from reaching your chat model.

April 28, 2025

by Tamas Kiss

· 3,829 Views · 1 Like

Contextual AI Integration for Agile Product Teams

This article introduces Contextual AI Integration for agile product teams. Stop treating AI as a team member to “onboard;“ AI is a tool that requires context.

April 28, 2025

by Stefan Wolpers

CORE

· 4,724 Views · 2 Likes

Building a Simple Todo App With Model Context Protocol (MCP)

MCP is an open standard that connects AI models, apps, and data sources, enabling secure and easy integrations for AI-driven tools and workflows.

April 28, 2025

by Suleiman Dibirov

CORE

· 4,325 Views · 4 Likes

How to Build the Right Infrastructure for AI in Your Private Cloud

Build scalable infrastructure with GPUs for AI workloads, manage data pipelines efficiently, and ensure security and compliance.

April 25, 2025

by Siva Kiran Nandipati

· 6,375 Views · 2 Likes

Reinforcement Learning for AI Agent Development: Implementing Multi-Agent Systems

Let's learn how to implement a simple AI agent with reinforcement learning using a multi-agent system in Python, and have a little fun along the way.

April 24, 2025

by Srinivas Chippagiri

CORE

· 19,205 Views · 2 Likes

Optimizing AI Model: A Guide to Improving Performance (3 of 3)

This guide covers data preprocessing, algorithmic improvements, hyperparameter tuning, hardware acceleration, and deployment strategies to improve performance.

April 24, 2025

by Srinivas Chippagiri

CORE

· 17,775 Views · 2 Likes

Key Considerations in Cross-Model Migration

Navigating the challenges of AI model migration, this guide explores differences in tokenization, context windows, formatting, and response structure across LLMs.

April 23, 2025

by Lavanya Gupta

· 3,854 Views · 1 Like

AI Model Evaluation: Metrics, Visualization and Performance (2 of 3)

Evaluate AI models using key metrics and visualization tools to ensure fairness, reliability and scalability in real-world applications.

April 23, 2025

by Srinivas Chippagiri

CORE

· 19,293 Views · 3 Likes

The Role of AI in Enhancing DevOps Processes

AI’s your DevOps wingman—handles the dull crap, sniffs out issues early, and keeps things humming. Early alerts, slick CI/CD testing, and self-fixing systems, all in one.

April 23, 2025

by Sujai Krishna Vasudavan

· 4,692 Views · 1 Like

The Latest AI/ML Topics