📖 Article 1: Prompt Engineering 101: Master the Foundation in 10 Minutes (Get Prompt Expert Template Free Inside)

As explained by: Unknown Author  |  📅 Published: 2025-07-30T04:03:42Z

🔗 https://dev.to/jaideepparashar/prompt-engineering-101-master-the-foundation-in-10-minutes-4joe

💡 Summary

Don't forget to get your Prompt Expertise Template Free Inside!

Let's move to the topic

If you’ve ever used ChatGPT and felt like the answers were… underwhelming, you’re not alone.

The problem isn’t the AI — it’s the prompt.

This post is your crash course in Prompt Engineering, the single skill that will separate AI dabblers from AI power users.

Read this once. Save it. And you’ll instantly get better results from ChatGPT (and any other AI tool).

What Is Prompt Engineering, Really?

Prompt engineering is simply:

Asking the AI the right question, in the right way, to get the result you want.

Think of ChatGPT as a smart intern.

If you say: “Write a blog post” → You’ll get something generic.

If you say: “Write a 700-word blog post for busy entrepreneurs. Use a conversational tone, 3 examples, and end with a clear call-to-action” → You’ll get gold.

The 4 Building Blocks of a Great Prompt

1. Role – Who should the AI be?

   “You are a productivity coach.”

   “You are a Python developer.”

2. Context – What’s the situation?

   “You’re helping me automate a 200-row Excel report every week.”

3. Task – What exactly do you need?

   “Write a step-by-step process with code snippets.”

4. Constraints – Any rules, style, or limits?

   “Keep it under 300 words. Use simple English. Include a bulleted list.”

Combine all four, and you’ll go from average to amazing results.

Example: Bad vs. Good Prompt

Bad:

“Write a marketing email.”

Good:

“You are an experienced copywriter. Write a 150...

📖 Article 2: Is Your Data Safe with a ChatGPT App Integration?

As explained by: Unknown Author  |  📅 Published: 2025-07-30T10:13:15Z

🔗 https://dev.to/cloudestersoftware/is-your-data-safe-with-a-chatgpt-app-integration-5dbf

💡 Summary

Today, many apps use ChatGPT to talk, answer questions, or give help. This can be super helpful! But some people wonder: “Is my data safe?” That’s a smart question. In this blog, we will talk about what happens with your data, how it’s protected, and what you can do to stay safe.

What Is ChatGPT App Integration?

When a mobile or web app uses ChatGPT, it means that the app connects to the ChatGPT system. This system can talk to users, answer questions, or even help write text. It’s kind of like adding a smart helper inside the app.

For example:

• A travel app might use ChatGPT to help users plan trips.
• A shopping app might use it to answer questions about products.
• A school app might use it to help kids with homework.

But anytime you send messages to ChatGPT, you're also sending data.

What Happens to Your Data?

When you use a ChatGPT app, you type in messages. These messages are sent to ChatGPT’s servers. Then, ChatGPT reads your message and sends back an answer.

Here’s what usually happens:

• Your message is sent over the internet.
• It is processed by the ChatGPT system.
• A reply is sent back to your app.

That sounds easy, but is it safe? Let’s look closer.

How Is Data Protected?

Most ChatGPT apps use encryption. That means your data is turned into a secret code when sent over the internet. No one can read it except ChatGPT.

Also, ChatGPT does not store data forever. In most cases:

• Your chats are not saved.
• They are not used to train new AI systems unless you giv...

📖 Article 3: Combine ChatGPT with Stack Overflow API for Better Code

As explained by: Unknown Author  |  📅 Published: 2025-07-30T02:29:16Z

🔗 https://dev.to/talon_neely_23a3526f51ebc/combine-chatgpt-with-stack-overflow-api-for-better-code-i09

💡 Summary

Fix "Cannot Read Property of Undefined" with Stack Overflow API

Combine ChatGPT with Stack Overflow API for Better Code

Enhance ChatGPT responses with real Stack Overflow data. Build the ultimate AI coding assistant with verified solutions. This comprehensive guide will walk you through everything you need to know to get started and build production-ready integrations.

🚀 Try It Yourself

All the code examples in this article work with BuiltSimple's demo API key. No signup required!

Get started in seconds:

# Test the API instantly
curl -X POST https://built-simple.ai/api/fixitapi/search \
 -H "Authorization: Bearer demo" \
 -H "Content-Type: application/json" \
 -d '{"query": "your search term", "limit": 5}'

💡 Why BuiltSimple APIs?

• No Rate Limits - Query as much as you need
• 93GB Stack Overflow Data - Complete programming knowledge base
• Instant Access - Use demo key for immediate testing
• Sub-200ms Response - Lightning fast global performance

Ready to build? Check out our complete documentation and live demos.

Originally published at built-simple.ai...

📖 Article 4: How to Integrate ChatGPT with Node.js and Vue: Step-by-Step Guide

As explained by: Unknown Author  |  📅 Published: 2025-07-30T06:39:26Z

🔗 https://dev.to/lucy1/how-to-integrate-chatgpt-with-nodejs-and-vue-step-by-step-guide-3mpd

💡 Summary

The incredible capabilities of ChatGPT have truly transformed how we engage with AI. Whether it's through chatbots or content creation, bringing ChatGPT into web applications opens up a world of opportunities for automating tasks and improving user experiences.

In this step-by-step guide, we’ll explore how to seamlessly integrate ChatGPT with Node.js for the backend and Vue.js for the frontend. This powerful duo enables you to build interactive and AI-driven web applications while keeping your OpenAI API key safe and sound.

By the time you finish this tutorial, you’ll have a fully operational application where Vue sends messages to Node.js, which then interacts with the ChatGPT API to provide responses back to the user.

Prerequisites for This Tutorial

Before diving into this tutorial, make sure you have everything you need:

• Node.js (version 16 or later)
• A Vue 3 project already set up (you can use either Vue CLI or Vite)
• An OpenAI API key (you can get this from the OpenAI Platform)

Once you have these prerequisites in place, you are all set to start!

Project Overview

Let’s take a quick look at the architecture:

Frontend (Vue): This part takes user input and sends it over to the backend (Node.js).

Backend (Node.js): Here, the input is received, a request is made to ChatGPT through the OpenAI API, and then the response is sent back.

ChatGPT (OpenAI API): This component processes the request and generates a response.

Example architecture: Vue ↔ Node.js ↔ ChatGPT API...

📖 Article 5: Gemma3:4b better than gpt-4o?

As explained by: Unknown Author  |  📅 Published: 2025-07-29T16:36:17Z

🔗 https://dev.to/kaustubhtrivedi/gemma34b-better-than-gpt-4o-daj

💡 Summary

Orchestrating Minds: A Local LLM's Surprising Victory and the Quest for AI Intelligence

The world of Large Language Models (LLMs) has exploded, captivating our imaginations and transforming how we interact with technology. As I delve deeper into the fascinating realm of AI Agent development through a Udemy course, I've had the opportunity to witness some truly intriguing dynamics when orchestrating multiple LLMs in a single workflow. Today, I want to share a particular experiment that yielded some surprising, and thought-provoking, results.

The Challenge: Crafting the Ultimate Intelligence Test

Our task in the course was to design a system where one LLM would generate a challenging, nuanced question, which would then be posed to a selection of other LLMs to evaluate their "intelligence." For this crucial first step, I turned to ChatGPT 4o-mini.

My prompt was straightforward:

Please come up with a challenging, nuanced question that I can ask a number of LLMs to evaluate their intelligence.

ChatGPT 4o-mini, ever the eloquent one, delivered a question that truly hit the mark

If you had to design a system that balances ethical considerations with technological advancement in artificial intelligence, what core principles would you prioritize, and how would you implement them in practice?

This question is a fantastic blend of abstract ethical reasoning and practical application, perfec...

🎯 Final Takeaways

These summaries reflect key insights from the Dev.to community—whether it's cutting-edge tools, practical tips, or emerging AI trends. Explore more, experiment freely, and stay ahead in the world of prompt engineering.