Why I Chose 'ForgeCode' as #1 AI Coding Assistant in 2025?

29 Jul 2025

📝 Dev.to Digest: Fresh Insights on AI, ChatGPT & Prompt Engineering

Welcome! This blog summarizes top Dev.to articles covering the latest techniques, tools, and ideas in AI, ChatGPT usage, and prompt engineering. The content below is structured to help you absorb the most useful takeaways quickly and effectively.

📋 What You’ll Find Here:

  • Organized sections: Techniques, Use-Cases, Tools, Trends
  • Concise summaries written in original language
  • Proper attribution: 'As explained by AuthorName'
  • Clear examples and steps in bullet points or <code> blocks
  • Direct links to the original Dev.to articles
  • Clean HTML – no Markdown formatting leftovers

📖 Article 1: Why I Chose 'ForgeCode' as #1 AI Coding Assistant in 2025?

As explained by: Unknown Author  |  📅 Published: 2025-07-28T17:29:53Z

🔗 https://dev.to/forgecode/why-i-chose-forgecode-as-1-ai-coding-assistant-in-2025-325l

💡 Summary

Ever wished your AI coding assistant could be as seamless as having a teammate right in your terminal? That’s exactly how I feel about ForgeCode.

AI is no longer a futuristic concept or an experimental curiosity. It has firmly cemented its place as an indispensable, everyday reality for developers like me.

The shift has been profound, with the attitude towards artificial intelligence transitioning from an experimental approach to a regular, day-to-day practice across companies of all sizes. Indeed, the rate of adoption has soared to an astonishing 97.5% globally, making AI an integral part of internal processes for virtually every software development provider. This widespread integration is further underscored by findings that 78% of respondents globally are already using AI in their software development processes or intend to do so within the next two years, a significant jump from 64% in 2023.

Similarly, there are a lot of AI tools on the market, but as an enterprise developer, I needed something that fits my workflow – no disruptions, full control, and enterprise-grade security. ForgeCode checks all those boxes. It’s a terminal-based AI pair programmer that “runs entirely in your terminal”, and it starts up in seconds with no complicated setup. Here are the top reasons I make ForgeCode my go-to AI assistant:

I love that ForgeCode needs virtually no setup. I just plug in my API key and I’m ready to go – no fiddling with configs or UIs. “Just add your API key and you’re...

📖 Article 2: 10 AI Skills Companies Are Looking for in 2025

As explained by: Unknown Author  |  📅 Published: 2025-07-29T07:55:27Z

🔗 https://dev.to/finalroundai/10-ai-skills-companies-are-looking-for-in-2025-2jl9

💡 Summary

In an age which is ruled by technology, Artificial Intelligence (AI) is more than just a buzzword. It’s a strategic necessity. With 2025 just over the horizon, the need for professionals who grok AI is growing in every corner of business, whether it be in finance, health care, retail, logistics, and beyond. But here’s the thing: it’s not enough to understand how AI works, it’s about knowing the specifically right AI skills that companies are actively recruiting for right now.

So, which must-have skills are those exactly? And how can you present yourself as the AI expert that companies can’t pass up?

Let’s make a trip down to the list of top 10 AI skills company scouts for by 2025, with examples and insights that count.

Top 10 In-Demand AI Skills Employers Will Prioritize in 2025

1. 🧠 Machine Learning (ML) Mastery: Beyond Algorithms

In 2025, Machine Learning will continue to be the heart of AI adoption. Companies aren’t just looking for professionals who can use scikit-learn or TensorFlow, they want people who understand when, why, and how to use different algorithms based on the business context.

A fintech startup might need a machine learning engineer to predict credit risk. It's not enough to train a model, they need someone who understands imbalanced datasets, bias in predictions, and how to communicate those risks to stakeholders.

machine learning engineer , supervised learning , unsupervised learning , ML pipelines , feature engineering

2. 🧬 Deep Learning & Neura...

📖 Article 3: The Awesome AI Coding Tools Repo Has a New Home — and a Bigger Mission

As explained by: Unknown Author  |  📅 Published: 2025-07-29T08:04:34Z

🔗 https://dev.to/aifordevelopers/the-awesome-ai-coding-tools-repo-has-a-new-home-and-a-bigger-mission-4bj6

💡 Summary

A few weeks ago, I launched Awesome AI Coding Tools — a curated list of the most powerful AI tools for developers.

In just the first week, the repo earned 100+ stars, quickly growing into a go-to resource for devs looking to level up their workflows with AI. It’s been exciting to see contributions, shoutouts, and new tools added by the community.

But that was just the beginning.

🎯 Why I Moved the Repo to AI For Developers

Originally hosted under my personal account (tokyo-dal), the repo has now officially moved to:

👉 github.com/ai-for-developers/awesome-ai-coding-tools

This move is more than just a rename — it’s the start of a broader initiative: AI For Developers.

So, why move it?

Scalability : I’m building more than a list — I’m building a hub for AI-powered development tools, guides, and community.

: I’m building more than a list — I’m building a hub for AI-powered development tools, guides, and community. Credibility : An organization-level repo signals this is an open, growing project — not just a solo side hustle.

: An organization-level repo signals this is an open, growing project — not just a solo side hustle. Community-first vision: I want to make room for contributors, maintainers, and AI-curious developers to shape the future of this resource.

Nothing breaks.

Thanks to GitHub's redirect magic, all links from the old repo still work — stars, forks, issues, everything carries over.

But here's what’s coming next:

✅ More frequent updates: New tools added...

📖 Article 4: 💻The Flat World of AI Apps

As explained by: Unknown Author  |  📅 Published: 2025-07-29T05:37:12Z

🔗 https://dev.to/marcosomma/the-flat-world-of-ai-apps-1lhk

💡 Summary

🔥 No, AGI Is Not Near! And That Chart Scares Me for All the Wrong Reasons

Two years into the greatest hype wave in tech history, and what do we have to show for it?

Thousands of “AI products” that are barely more than wrappers around the same language models. A sea of startups claiming to disrupt industries by… calling the same OpenAI API. People chaining prompts together and calling it architecture. Copilots, assistants, bots, all powered by the same rented brain.

Welcome to the flat world of AI.

It’s a world where technical sameness is dressed up as innovation. Where startups fight each other with identical weapons. Where the difference between companies often boils down to which font they chose for their landing page. And the deeper problem? Most founders don’t even realize they’re standing on a featureless plane. They’ve mistaken rented intelligence for invention.

Let me be blunt: if you don’t own the core of your AI product, the actual intelligence, then your business has no moat. Anyone can copy you, and someone will. Your prompt can be reverse engineered. Your chain can be replicated. Your API calls can be rerouted. You have no edge.

And worse, you're replaceable by a better wrapper.

The Same Brain, Everywhere

Using OpenAI’s API is not like using AWS or Google Cloud. Cloud infrastructure is modular, invisible, and interchangeable. You can lift-and-shift workloads. You can switch providers with effort, but it’s doable. When you use AWS, you still write your code...

📖 Article 5: Building an MCP Server/Client in Windows 11 with Azure AI Foundry

As explained by: Unknown Author  |  📅 Published: 2025-07-29T03:18:56Z

🔗 https://dev.to/om_shree_0709/building-an-mcp-serverclient-in-windows-11-51f0

💡 Summary

This article explains how to build a working MCP server and a client on Windows 11 using the .NET C# SDK. We will learn how to set up the server, register tools, configure a client agent to discover and use the server, and explore what happens behind the scenes. This provides a practical basis for developers to enable AI agents to perform real tasks like listing files or accessing system resources on Windows 11 12.

Server and Client Setup

Microsoft provides a template in .NET 10 for creating an MCP server using the dotnet new mcpserver command. This template gives you a sample tool ( get_random_number ) and a working server scaffold 23. You can expand this template by adding your own tool classes to interact with Windows functionality, such as listing files or checking directory contents. On the client side, you use Azure AI Foundry or GitHub Copilot agents configured to connect to your MCP server by specifying fields like server_url , allowed_tools , and require_approval 4.

Code / Implementation

Here is how you build a minimal MCP server in C#:

using Microsoft.Extensions.Hosting ; using ModelContextProtocol.Server ; using System.ComponentModel ; var builder = Host . CreateApplicationBuilder ( args ); builder . Services . AddMcpServer () . WithStdioServerTransport () . WithToolsFromAssembly (); var app = builder . Build (); await app . RunAsync (); [ McpToolType ] public static class FileTool { [ McpTool , Description ( "List files in a directory" )] public static stri...

🎯 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.