In this video, we’re calling out the misconceptions on both sides of the AI debate in software engineering.

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Whether you believe AI CAN’T HANDLE REAL CODE or think it’s ABOUT TO REPLACE DEVELOPERS entirely — you’re wrong. In this video, we’ll break down why BOTH extremes are missing the mark, and what you need to know about the real current state AND future of AI in software development.

What You’ll Learn:
In this video, we’re providing *evidence and reason* to cut through the noise. We’ll explore:

🛑 Why Some Developers are Likely Using AI Incorrectly:
It’s not that AI can’t generate good code—it’s that many developers are using it the wrong way, leading to poor results. We’ll give you some tips on how to use it *correctly* and *iteratively* for success.

💸 The Economic Reality of AI:
Whether we like it or not, AI is *here to stay* in software engineering. We’ll look at the economics of AI and why it’s destined to **succeed**—from cutting costs to increasing productivity.

🔍 Why Some Overhype AI’s Capabilities:
No, AI isn’t going to replace software engineers any time soon. We’ll look at why certain people are getting carried away with the hype and **what AI can realistically do**.

🔧 What You Should Do Next:
Whether you’re an experienced software engineer, a beginner, an entrepreneur, or an IT leader—we’ll dive into *what actions* you should take now that you know more of the real story about AI.

💻 Real Code, Generated by Real AI:

In the video, we review the code for two applications, both 100% generated using AI coding assistants.
You can find this code in the below GitHub repos:

🔗 Python App (Shell Command Generator): All code, tests, documentation, and diagrams generated by AI: https://github.com/timkitch/ai-shell-...

🔗 Java REST API (Task Manager): A more complex app with inter-task dependencies, fully built by AI: https://github.com/timkitch/java-rest...

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Why Watch?
If you’re tired of hearing the extremes—either that AI can’t code or that it’s going to replace all software engineers—this video is for you.
If you're a beginning developer, you'll get a balanced view of where AI fits into your plan and some recommendations.
If you're an experienced developer, you'll get some insight into how to come to your own conclusions about where AI fits into your career.
If you're an IT leader and unsure just what to do with AI and when, you may come away with a new perspective - and an idea of what to do next.

We’ll provide a *balanced perspective* backed by real examples, so you can see where AI fits into the future of software development.

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Chapters:

00:00 AI - oh, the controversies!
01:24 Two extreme views on AI for software dev
02:13 Naysayers focus on misleading demos
04:06 Naysayers think AI generates bad code
04:41 Let's review some AI-generated code
10:35 Ignoring AI: economics wins, my friend
15:31 And the zealots are also being misled
16:44 Some problems require experience
18:57 If you believe zealots, we're all fired
20:38 Recommendation: act now!
23:15 Suggestions for beginner developers
25:15 Wrap-up

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Links to other resources referenced in this video:
🔗 Dr Matt Welsh 2023 Harvard Tech Talk:    • Large Language Models and The End of ...  
🔗 Kevin Dewalt (CEO of Prolego) on getting started with your organization's AI strategy:    • Ep 9. Write Your Company's Generative...  
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💬 Connect with me:
Website: [codingthefuture.ai](https://codingthefuture.ai)
X (Twitter): [@CodingFutureAI](  / codingfutureai  )

I’m Tim Kitchens, and if you’re ready for the real conversation about AI, don’t forget to *like**, **comment**, and **subscribe* for more. Let’s code the future, together. 🎉