Forem: Coding Money

I Built an AI System that Automates Entire News Agency. Here is How You Can Build Your Own

Coding Money — Tue, 19 Aug 2025 17:26:18 +0000

How to Empower Your AI Coding Workflows with MCP

Coding Money — Sat, 22 Mar 2025 06:39:56 +0000

If you’ve been following AI developments, you’ve likely come across the growing buzz around Model Context Protocol (MCP). Think of MCP as a universal power adapter for your AI—that “one plug” allowing Large Language Models (LLMs) to seamlessly connect with different tools and services. Whether you want to debug a website in real time, manage your GitHub repositories via AI, or query a live PostgreSQL database with a single prompt, MCP makes it effortless.

Why MCP Matters
Uniform Integration: Instead of crafting separate APIs or scripts for every new AI tool, MCP standardizes how LLMs interact with external services.

Less Context-Switching: From automatically pushing commits to GitHub to testing browser errors, you can handle it all in one environment.

Scalable Workflows: Combine various MCP servers—like one for version control and another for database queries—and build advanced AI workflows without reinventing the wheel.

Sneak Peek of What’s Possible
Browser Debugging: Tired of juggling developer tools while troubleshooting JavaScript errors? With a browser-focused MCP server, your AI can fetch console logs and capture screenshots on command.

GitHub Integration: Create repos, push commits, or handle pull requests—just by telling your AI what needs to be done.

PostgreSQL Access: Want to quickly check the latest user sign-ups or top five orders? An MCP-enabled AI can run database queries in seconds.

Ready to Dive Deeper?
If this preview piqued your interest, the full tutorials—complete with code snippets, step-by-step setup guides, and real-world use cases—are available over at codingmoney.com. Head there to learn exactly how to configure and maximize MCP for your favorite AI tools.

In my comprehensive tutorial, you’ll find:

Detailed installation instructions for browser debugging, GitHub, and PostgreSQL MCP servers.

Insider tips and troubleshooting steps to keep your AI workflows running smoothly.

Strategies for building powerful, AI-driven automation across multiple services.

Don’t miss out on unlocking a whole new level of efficiency—check out the full article series at Coding Money and turbocharge your AI development today.

How to Supercharge Your AI Coding Workflow with MCP (Model Context Protocol)

Mastering AI Coding for Beginners: Build a Responsive Menu with Next.js

Coding Money — Fri, 24 Jan 2025 20:00:01 +0000

How to Use AI Tools for Coding - Top AI Coding Agents Tutorial for Beginners

Are you wondering how AI can supercharge your coding projects? In this step-by-step tutorial, we’ll walk through building a responsive drop-down navigation menu in Next.js, fetching data from WordPress with GraphQL and Apollo Client—using two powerful AI coding agents: Cursor AI Code Editor and Bolt.

Whether you’re brand-new to AI coding or have years of development experience, this guide will help you understand how to integrate AI into your workflow. You’ll see firsthand how these tools can automatically generate boilerplate code, suggest a solid project structure, and accelerate your development process. We’ll also compare which AI tool might be the better fit for your style and explore some of the best AI platforms for code generation.

Here’s what you’ll learn:
Efficient Prompting: How to craft prompts that encourage AI to generate foundational code and project outlines.
Troubleshooting AI-Generated Code: Strategies for refining the code AI produces so it meets real-world requirements and advanced use cases.
Productivity Tips: Insights on saving time and improving your workflow with AI coding agents.
Why Coding Skills Still Matter: Understanding that while AI is a fantastic helper, core development knowledge is still essential for complex applications.
We’ll also cover open-source AI code generation tools for increased flexibility. If you’ve ever been curious about AI-driven coding—whether that means a simple AI HTML code generator or a more sophisticated AI platform that fits your unique development style—this demo is for you.

By the end of this tutorial, you’ll know how to maximize these tools to boost productivity and creativity, even if you’re taking your first steps into AI programming. If you’ve tried ChatGPT before or are completely new to AI-driven coding, our hands-on demo will show you both the possibilities and the potential pitfalls.

Let’s turn your workflow into a creative powerhouse. Check out the video, give us a like, subscribe, and share if you find it valuable. Here’s to coding more efficiently—with a little help from AI!

How to Use Google AI Cloud Vision API to Analyze Images - Easy Step by Step Tutorial

Coding Money — Fri, 27 Dec 2024 02:26:21 +0000

Google AI Cloud Vision API Tutorial

Next JS Form Validation Zod Example - NextJS Tutorial

Coding Money — Sat, 31 Aug 2024 03:02:05 +0000

Form Validation in Next JS 14

Welcome to my comprehensive tutorial video on Next.js form validation using the powerful Zod library! In this video, you'll learn how to efficiently validate forms in Next.js applications, ensuring your data is accurate and secure. I'll guide you step by step through every part of the process, from setting up your project to handling validation errors gracefully using a real form as practical example, showcasing how to integrate Zod into your Next.js project, handle complex validation scenarios, and improve user experience. Make sure to check out the GitHub repository linked in the video for all the source code.

Next Js Form Validation Tutorial Github Repo

0:00 - Introduction
0:59 - Github Repo
1:30 - Finished Form Validation Demo
4:31 - Third party packages
4:48 - Project Setup
7:41 - Step 1: Install & Import Zod
8:39 - Step 2: Create Schema Object
11:20 - Step 3: Schema Validator (safeParse)
17:51 - Step 4: Displaying the Validation Error
21:19 - Testing the Form Validation
22:05 - Please don’t skip

What You'll Learn:

Introduction to Zod and its benefits for form validation.
Setting up a Next.js project with Zod.
Implementing schema-based form validation.
Handling validation errors and displaying messages to users.
Learn about the useFormState hook for form state management
Best practices for managing form state and submissions.

Whether you're a beginner or an experienced developer, this tutorial will help you master form validation in Next.js with ease.

By the end of this tutorial, you'll know how to create robust and user-friendly forms in Next.js using Zod. Save this video for future reference because it covers all the essential steps to help you master form validation in your Next.js applications. If you find this video helpful, don't forget to like, comment, and subscribe for more Next.js and web development content!

nextjs #Zod #formvalidation #webdevelopment #javascript #reactjs #codingtutorial #programming #frontenddevelopment #webforms #webdev

For more tutorial videos checkout Coding Money Youtube Channel

A Day in the Life of a Software Engineer

Coding Money — Tue, 12 Sep 2023 23:41:51 +0000

Step into a day in my life as a remote software engineer in sunny California! Join me on this journey as I share my daily routine, taking you from sunrise to bedtime. Discover the secrets behind my morning rituals and productivity hacks that keep me on top of my game. Get ready for a day in the life of a software engineer!

Watch Video on Youtube

Download LLaMA : Meta/Facebook's AI Model Leaked

Coding Money — Sun, 12 Mar 2023 02:00:33 +0000

LLaMA - Meta's new AI can run on a PC

Coding Money — Fri, 03 Mar 2023 05:51:49 +0000

Meta releases LLaMA, a state-of-the-art foundational large single-gpu language model

Using AI Text-to-VIDEO Generators

Coding Money — Sun, 19 Feb 2023 06:59:14 +0000

Coding Money

Github Code Brushes - VS Code Extension

Coding Money — Fri, 13 Jan 2023 17:23:28 +0000

Coding Money

AI Narration

Coding Money — Fri, 06 Jan 2023 00:50:50 +0000

AI narration, also known as artificial intelligence narration, refers to the use of AI-powered technology to create a narrative or tell a story. This can take many forms, from using AI to generate text for a news article or social media post, to creating a fully automated news anchor that can read and present the news, to using AI to create a voice-over for a video or audio presentation.

One of the main benefits of using AI for narration is the ability to quickly and efficiently create a high-quality narrative without the need for a human narrator. This can save time and money, especially when producing large amounts of content or when the content needs to be updated or changed frequently.

AI narration can also be used to create more personalized and engaging content. For example, AI-powered voice assistants like Siri and Alexa use natural language processing to understand and respond to user requests, and can even adapt their responses based on the user's past interactions. This allows these voice assistants to provide a more personalized and interactive experience for users.

However, there are also some limitations to using AI for narration. AI systems can struggle with tasks that require a high level of creativity or nuance, and may not be able to fully replicate the intonation and inflection of a human narrator. In addition, AI narration may not be suitable for all types of content or audiences, and may require careful consideration and testing to ensure that it is effective and appropriate.

Overall, AI narration has the potential to revolutionize the way we create and consume narratives, and is likely to become increasingly prevalent in the coming years. While it is not a replacement for human narrators, it can be a useful tool for quickly and efficiently creating high-quality content, and for providing a more personalized and engaging experience for users.