📖 Article 1: GPT-5 is overrated but still good

As explained by: Unknown Author  |  📅 Published: 2025-08-08T12:01:49Z

🔗 https://dev.to/kwnaidoo/gpt-5-is-overrated-but-still-good-4lch

💡 Summary

I've been testing the model since its release on various tasks:

Complex agent workflow for Voice AI: This application has various chains of prompts and advanced techniques to guide users through their meal order. Model performs okay; it seems to be on par with Claude 4, but still gets about 16% of the orders wrong. Claude was scoring around the same.👌

This application has various chains of prompts and advanced techniques to guide users through their meal order. Model performs okay; it seems to be on par with Claude 4, but still gets about 16% of the orders wrong. Claude was scoring around the same.👌 Edit an existing game: I prompted Claude 3 times to fix a particular bug with collision detection. You basically tap floating objects, and some pop to reveal surprises. One of the issues was touch sensitivity; on some objects, you have to tap 3-4 times before it marks the object as collected. Claude Sonnet could never fix this issue after 3-4 prompts, GPT-5 one-shot fixed it✅.

I prompted Claude 3 times to fix a particular bug with collision detection. You basically tap floating objects, and some pop to reveal surprises. One of the issues was touch sensitivity; on some objects, you have to tap 3-4 times before it marks the object as collected. Claude Sonnet could never fix this issue after 3-4 prompts, GPT-5 one-shot fixed it✅. General coding tasks : "Randomly select a product from a list of products and build a modal popup, showing the product name, price, discount banner (make...

📖 Article 2: Prompt Templates for Every Department in a Business (Copy-Paste Collection)

As explained by: Unknown Author  |  📅 Published: 2025-08-09T04:17:21Z

🔗 https://dev.to/jaideepparashar/prompt-templates-for-every-department-in-a-business-copy-paste-collection-21kb

💡 Summary

If you think ChatGPT is just for marketing or content, you’re leaving 80% of its power on the table.

I’ve helped businesses use AI across sales, HR, finance, operations, and customer service — and the results are instant: faster work, better communication, and fewer bottlenecks.

Today, I’m sharing ready-to-use prompt templates for every major business department so you can drop them straight into ChatGPT and start getting results.

Prompts for Sales Department

Lead Qualification Prompt

“You are a sales analyst. Here’s a list of 10 leads with basic details. Rank them from most to least promising based on likelihood to buy, budget, and fit. Explain why.”

Cold Email Prompt

“Write a short, personalized cold email to a [role] at a [type of company], introducing [product/service]. Focus on solving their problem [specific problem].”

Prompts for Marketing Department

Campaign Idea Generator

“Act as a marketing strategist. Suggest 5 campaign ideas to promote [product/service] to [target audience] in [industry]. Include channels and key messages.”

SEO Blog Prompt

“Write a 1,000-word SEO blog post about [topic] using a friendly, authoritative tone. Include subheadings, examples, and a clear call-to-action.”

Prompts for Human Resources (HR)

Job Description Prompt

“You are an HR manager. Write a job description for a [role] with skills in [list skills], based in [location], including responsibilities, qualifications, and company culture.”

Interview Question Prompt

“Create 1...

📖 Article 3: GPT-5 Is Here: What It Really Means for Junior Developers (Like Me)

As explained by: Unknown Author  |  📅 Published: 2025-08-08T19:35:42Z

🔗 https://dev.to/talaamm/gpt-5-is-here-what-it-really-means-for-junior-developers-like-me-591k

💡 Summary

Yesterday, on August 7th, 2025, OpenAI released GPT‑5, and I've been exploring it ever since. As a junior developer, I’ve used earlier versions to help me learn, write and debug code better. But GPT‑5 genuinely changes the game.

This post isn’t a generic AI hype piece, I want to walk you through what’s actually new in GPT‑5, what’s improved, and how I (and other early-career developers) can really benefit from it right now.

1. A Smarter Brain with “Thinking Mode”

GPT‑5 introduces a new internal design where it can switch between two reasoning engines:

• One for fast, lightweight responses
• Another for deep, multi-step reasoning (it uses it when needed or when prompted with something like: “Think hard about this”)

Before GPT‑5, I often had to rephrase my prompts multiple times to get the model to really "think". Now, GPT‑5 does it automatically or on request.

Why it matters: When I’m stuck on a logic bug or trying to understand a concept deeply, I don’t just want an answer; I want reasoning. GPT‑5 gives me both.🫶

2. Improved Code Generation. Especially for Front-End

GPT‑5 isn’t just better at generating code, it’s more aware of structure, layout, and intent. Especially when it comes to front-end code (HTML, CSS, JS, Vue, React), the output is cleaner, more semantically correct, and closer to production-ready.

Before: We’d often get div soup or have to rework the styling logic manually.

Now: It understands component hierarchy, responsive layout, and even accessibility h...

📖 Article 4: How to setup Airtable MCP for effective work manahement 💻📊

As explained by: Unknown Author  |  📅 Published: 2025-08-09T04:57:12Z

🔗 https://dev.to/composiodev/how-to-setup-airtable-mcp-for-effective-work-manahement-1akm

💡 Summary

Airtable is a great app for tracking projects, tasks, colloboration, CRM, inventory management, and more. It keeps things clear and organized. But, what if you don’t have to navigate the dashboards to get things done and do things from a single Chat interface.

Airtable MCP makes it possible. It connects your base to tools that understand your tables and fields. You can fetch records, update values, and generate summaries using real data.

In this post, you will see how to set up Airtable MCP with Claude or Cursor and use it to manage updates, track work, and speed things up.

What is MCP?

Think of MCP as a bridge that connects all your SaaS tools to your AI agent. It acts like an adapter, enabling your AI agent (Client) to understand and interact with your tools.

According to Anthropic (the team behind Claude and MCP),

“MCP is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications. Just as USB-C provides a standardized way to connect your devices to various peripherals and accessories, MCP provides a standardized way to connect AI models to different data sources and tools.”

credits: modelcontextprotocol.io

For more, check out this detailed post or MCP components: MCP Explained

What is Airtable MCP

Airtable MCP is a secure connection between your Airtable workspace and tools like Claude and Cursor. It lets large language models work with your Airtable data directly, using a defined set of support...

📖 Article 5: What the heck is an Ontology?

As explained by: Unknown Author  |  📅 Published: 2025-08-08T15:50:39Z

🔗 https://dev.to/tc87/what-the-heck-is-an-ontology-40kc

💡 Summary

Is Palantir onto something, or are they just blowing hot air?

You may have heard the term Ontology, and why leading businesses rely on them to build trustworthy data models. Recent advances in LLMs have made it possible for startups and enterprises alike to build flexible, reliable semantic layers faster than ever before.

What do we mean by “ontology”?

The ontology has its roots in philosophy, where it represents a formal catalog of objects, the properties that describe them, and the relationships that connect them. Here’s a simple example:

You might notice that this begins to resemble a data model. The Ontology has become popularized by Palantir as a semantic layer solution, which, to be reductive, is essentially a relational database with a semantic structure (different from the web 2.0 semantic ontology). This Ontology acts as an abstraction between raw data and the business concepts they represent. There are many implementations of semantic layers under a variety of names, but the bottom line is they’re working to make data represent our real world as we understand it.

Why do people want semantic layers anyway?

Every term you’ve heard — source of truth, golden tables, semantic layer — is chasing the same promise: let anyone ask and receive answers that faithfully reflect how the business works. An analyst should be able to ask, “How many premium users bought espresso last month?” and trust the answer. Well-implemented Ontologies deliver on that promise by encoding b...

🎯 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.