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You’ve Heard of the Full Stack Developer

Now Get Ready for the AI Stacker!

A new role in software called the AI Stacker
AI is redefining the roles within software development. Make sure you stay ahead of the curve

Publish Date: Last Updated: 10th February 2025

Author: nick smith - With the help of CHATGTP

Ah, the world of programming – once considered a rock-solid career choice, right? Learn to code, get a job, live happily ever after. That was the plan! But then along came AI, sweeping through junior developer positions like a Roomba on steroids, leaving many aspiring coders wondering if they’ll ever get a chance to flex their JavaScript muscles.

Should we all just throw in the towel and let AI handle the next software revolution while we retire early to a farm to raise alpacas? Not so fast! Because where there’s disruption, there’s opportunity – and that’s why we need to talk about the AI Stacker.

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What is an AI Stacker?

Think of an AI Stacker as the tech world’s new Swiss Army knife – except instead of a corkscrew and tiny scissors, they come equipped with AI implementation skills, security expertise, and a knack for making AI do the heavy lifting.

Companies are eager to jump on the AI bandwagon, but let’s be real – most of them have no idea what they’re doing. How do they install it? How do they train it? How do they make sure it doesn’t turn into an overenthusiastic Clippy on steroids? That’s where the AI Stacker comes in.

The AI Stacker’s Responsibilities:

  1. Setting Up Local AI Systems – Because not every business wants their sensitive data hanging out in the cloud like laundry on a public clothesline.

  2. Ensuring Proper Hardware – AI runs best on solid hardware, not the dusty Windows XP machine in the corner of the office.

  3. Securing AI Implementations – If AI is the new brain of the business, we better make sure it’s not leaking secrets like a gossiping chatbot.

  4. Training AI with Company Data – Feeding AI the right data so it doesn’t start making wildly inaccurate predictions (e.g., suggesting a bakery start selling tires because both involve rolling).

  5. Coding AI-Powered Integrations – Yes, AI will help write the code, but guess what? AI still needs a human to guide it – and to stop it from hallucinating entire functions that don’t exist.

  6. Maintaining and Refining AI Systems – AI is evolving faster than a toddler on a sugar rush. Keeping up with the latest updates and improvements is key.

Why AI Stackers Will Be in Demand

AI isn’t perfect. It’s not even close. And businesses don’t just need AI; they need functional AI that works within their existing systems. If you can bridge the gap between AI and real-world implementation, congratulations – you’re in demand!

Plus, unlike traditional software development roles that can be outsourced, AI integration requires a hands-on approach, making AI Stackers an essential (and well-paid) part of any organization.

The Future of AI in Development

For those worried about AI replacing developers – don’t panic yet. Understanding code will always be an asset, even if AI is helping to write it. The key to staying relevant in tech isn’t fighting AI – it’s learning how to work alongside it.

So, if you’re a young developer wondering where to go next, the answer is simple: become an AI Stacker. Learn AI integration, experiment with machine learning tools, and get comfortable implementing AI into existing systems.

AI may be changing the game, but the AI Stacker? They’re the ones writing the new rulebook.

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AI Questions and Answers section for You’ve Heard of the Full Stack Developer – Now Get Ready for the AI Stacker!

Welcome to a new feature where you can interact with our AI called Jeannie. You can ask her anything relating to this article. If this feature is available, you should see a small genie lamp in the bottom right of the page. Click on the lamp to start a chat or view the following questions that Jeannie has answered relating to You’ve Heard of the Full Stack Developer – Now Get Ready for the AI Stacker!.

Visitor asked: what are the recommended hardware set up for a small business running their own ai

Jeannie’s answer to the question: The recommended hardware setup for a small business running their own AI largely depends on the complexity and processing power of the AI you plan to implement. Strong and reliable computer hardware is a necessity. Generally, an AI Stacker would benefit from a high-end computer with a powerful multi-core processor (such as an Intel i7 or AMD Ryzen 7), at least 16GB of RAM, and a high-end GPU if the AI solution involves heavy graphical processing or machine learning tasks. Hard drive space should also be plentiful, with solid-state drives (SSDs) offering faster load times. As one's data storage needs grow, cloud storage may become an attractive option as well. Network infrastructure should have enough bandwidth for data transmission. Given that AI implementation may pose security considerations, premium security hardware such as high-end firewalls, secure network switches, and encrypted storage devices may also be necessary. However, every AI deployment is unique, so it's best to consult with a Full Stack AI Developer who understands both the hardware and software requirements of your intended AI implementation. They can provide a detailed assessment and recommendations tailored to your specific business needs.

Date: 2025-02-10