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  • Can AI Really Turn Everyone Into a Developer? [Newsletter #56]

Can AI Really Turn Everyone Into a Developer? [Newsletter #56]

Why Human Skills Still Matter in the Age of AI Coding

Hello, AI enthusiasts from around the world.

Welcome to this week's newsletter for the AI and the Future of Work podcast.

It seems like a new AI tool emerges every day. Each one is better and smarter than the last.

It has a lot of people fearing for their jobs.

But today's guest brings a refreshing perspective on the future: It's not about the tools. It's about what we do with them.

After all, we want to solve human problems. To do that, we need human solutions.

Let's dive into this week's highlights! 🚀

🎙️ New Podcast Episode With Kyle Daigle, Github COO

If you’ve written any code, you know the feeling: it’s 3 a.m. and that one bug just won’t go away.

You’re frustrated. You’re tired. But you keep going because you know you’ll solve it.

That moment says a lot about what it means to be a developer.

It’s not just a late-night struggle.

It represents the value of humans as developers

For Kyle Daigle, GitHub COO, it's crucial that we acknowledge one reality: AI will revolutionize coding, but it won’t replace us.

So why do we embrace that belief when everyone else is saying AI is here to replace developers?

Because without humans, there’s no AI.

Kyle sat down with Dan Turchin, PeopleReign CEO, to discuss why humans are ultimately responsible for every piece of software, from a single line of code to the largest LLM. That also means we're the ones accountable for buggy or insecure code, now and in the future.

AI is here to help solve the same problems we’ve faced for years and the ones still ahead.

Kyle speaks from experience. He’s seen everything from major blackouts at GitHub to recent moments when human developers, not AI, stepped in to fix a critical security issue after an app launch.

When he joined GitHub in 2013, it was still a scrappy startup. Today, it’s a global platform with over 100 million developers and one of Microsoft’s largest acquisitions.

Since 2021, Kyle has led GitHub Copilot, the AI-powered coding assistant with 15 million users.

Before that, he served as VP of Strategy and Chief of Staff to the CEO.

In this week’s episode, Kyle and Dan explore:

  • Why Kyle believes that AI isn't replacing developers. Instead, it's freeing them from problems that never had economically viable solutions.

  • How GitHub "saw the future" by being essentially a remote company since the beginning.

  • Why AI will democratize code, but the real winner will be pragmatism, and asking ourselves, "Is this actually helping us?"

  • Why Kyle believes privacy will be crucial in the future, especially when AI systems start working for us.

🎧 This week's episode of AI and the Future of Work, featuring Kyle Daigle, inspired this issue.

Listen to the full episode to hear why Kyle believes humans should stay at the center of every future AI platform.

📖 AI FUN FACT

AI is already shaking up the developer job market, as Sam Klebanov reports for Morning Brew. The data makes it clear. The overall market for software engineers has shrunk from its peak in 2021 and 2022.

Seventy-five percent of developers have used AI to write code. Most of them say they now use it regularly. Seventeen percent even rely on it at all times, according to a recent Wired survey mentioned in the article.

At the same time, Microsoft CEO Satya Nadella shared that AI now generates up to 30 percent of the company’s code. Alphabet reported a similar figure. Mark Zuckerberg predicted that AI agents will match the skills of a good mid-level software engineer sometime this year.

Source: Morning Brew / Claude.ai

Still, experienced developers aren't too worried. Their work demands creativity and a deep understanding of how code fits together.

Many are actually optimistic.

They believe AI will free them from repetitive tasks and give them more time to do work that feels meaningful.

Dan Turchin, PeopleReign CEO, agrees.

He believes AI will partner with humans to automate mundane work across white collar roles. It will also augment blue collar roles to make them safer. 

Some jobs will be eliminated.

If yours can be easily handled by a bot, this might be a good time to reskill.

Many more jobs will be created than lost due to AI in fields like compliance, ethics, managing and maintaining physical robots and helping humans assimilate new technologies into their lives.

The best way to stay ahead?

Be honest about your skills, your goals, and most important, what you love to do.

Listener Spotlight

Barry is a solicitor at a bank in London. He listens to the podcast during his lunch break.

His favorite episode is the conversation from season three with Robert Plotkin, an IP attorney and author who explains how patent law is changing due to AI.

You can listen to that episode here.

As always, we love hearing from you.

Want to be featured in an upcoming episode or newsletter?

Just leave a comment and tell us how you listen and which episode has stayed with you the most.

📚 Worth A Read

Large Language Models (LLMs) can write songs. They can even help build the next great app.

They’re also useful for everyday tasks, like writing shopping lists or finding recipes with random ingredients.

But there’s one thing they still can’t do. They can’t learn from experience. That’s a uniquely human trait.

Source: Wired / Getty Images

Now, researchers at MIT are working to change that. They may be one step closer.

How are they doing it?

📣 Share your Thoughts and Leave a Review!

We want to hear what you have to say! Your feedback helps us improve and ensures we continue to deliver valuable insights to our podcast listeners. 👇

Until next time, stay curious! 🤔

We want to keep you informed about the latest happenings in AI.

Here are a few stories from around the world worth reading:

That's a Wrap for This Week!

This week’s conversation reminds us not to face the future with fear.

Instead, let it motivate us. New tools are coming. They give us a chance to reinvent ourselves.

We’ve all heard about how powerful AI can be. But that power only matters when it solves a human problem.

Let’s stay hopeful and focused. AI should always be used to improve human lives, not the other way around.

Until next time, keep questioning, keep innovating, and we’ll see you in the future of work 🎙️

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