Tag: AI
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Introducing the Preview Release of AI Toolkit for VS Code with MCP Server Integration

Visual Studio Code has launched a Preview version of its AI Toolkit, featuring MCP Server integration that enhances AI application development. This toolkit facilitates building, testing, and deploying AI solutions, supporting major AI providers and local models. It includes improved tools for developers, data scientists, and educators, making AI development more accessible.
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Optimize LLM Performance on Mac and Ubuntu

This post discusses optimizing performance with large language models using Ollama on macOS with Apple’s M1/M2 chips and dual NVIDIA 2080 Ti GPUs on Ubuntu. It provides installation steps and GPU acceleration tips, highlights alternative tools, and outlines how to implement OpenAI-compatible APIs efficiently, maximizing hardware performance for local inference.
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From Idea to Deployment: A Complete Guide to Full-Stack Development with Cursor

Cursor AI enhances the development lifecycle for Go and Next.js applications, combining VS Code’s familiarity with advanced AI features. This guide details setting up the environment, developing a full-stack application, implementing backend and frontend structures, testing, debugging, and deploying with CI/CD practices. Discover efficient workflows with Cursor AI.
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Cloud vs Open-Source: Comparing AWS, Azure, GCP Services

Modern enterprises must choose between cloud-native services from providers like AWS, Azure, and Google Cloud, and open-source tools that offer more control. This guide discusses key domains including Machine Learning, Data Engineering, DevOps, and Business Intelligence, comparing strengths, weaknesses, and use cases for each solution to help inform decisions.
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The Rare Satisfaction of Finishing a Technical Book

I recently closed the last page of Real-World Next.js by Michele Riva, and something unusual struck me—I had actually finished a technical book from beginning to end. That doesn’t happen often. Like many developers, my usual approach to technical books is highly utilitarian. I read what I need, when I need it. The beginning of…
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Comprehensive Guide for Developers Working with C#, Python, TypeScript, and Go: Best Practices, Solutions, and Quick References

This guide serves as a comprehensive resource for developers proficient in C#, Python, TypeScript, and Go, emphasizing their applications in Windows development, data science, web development, and microservices. It offers best practices, syntax examples, and libraries to streamline development, ensuring high-quality, efficient, and maintainable code across diverse projects.
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AutoOps: The Future of IT Automation and Integrated Operations

AutoOps is an integrated approach to IT operations, combining automation, cloud infrastructure, machine learning, DevOps, and financial management. It streamlines processes like infrastructure management, CI/CD, and incident response, enhancing efficiency, scalability, and reliability. By embracing AutoOps, organizations can improve operations, reduce costs, and accelerate software delivery in a competitive landscape.
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From DevOps to GitOps: Navigating IT Operations

In the early days of my career, I remember how each server in our data center had its own unique name. They were treated like prized possessions—precious, valuable, and meticulously cared for. Back then, servers weren’t just machines; they were almost like pets. But as time went on, something shifted. The industry began treating servers…
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Setting Up Your Python Environment for Data Science: A Complete Guide

As a developer, the foundation of your project’s success often lies in how well you’ve configured your development environment. For those of you diving into Python development on a Mac, there are several key factors to consider. This guide will walk you through everything from choosing the right version of Python to setting up your…
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Comprehensive Software Engineering Glossary

This alphabetized glossary is designed to help you understand critical concepts, methodologies, tools, and roles in software development. Whether you’re a beginner or an experienced professional, these terms will equip you with the knowledge you need to navigate the software engineering industry, participate in user groups, and excel in certificate programs. Why This Glossary Matters…
