Day: August 5, 2025

• Rebecca Beach doubled her income using AI and vibe coding to create digital products to sell.
• Vibe coding allows AI to generate code, streamlining digital product creation.
• She uses AI tools like ChatGPT and Canva to enhance product design and boost efficiency and creativity.

Since 2018, I’ve been creating printables and selling private label rights, or PLR. By adding digital products, templates, and courses, I grew my business into a six-figure income.

As an experienced developer and app designer, I’ve maximized my income by using AI to create digital products. I was making $10,000 a month until I started vibe coding, which enabled me to double my income to up to $20,000 a month.

Vibe coding has transformed the way I work

I’ve been developing and designing apps with a focus on user experience for over 25 years, working for major companies such as Verizon and American Airlines. I even dabbled in machine learning and AI long before it became mainstream. I left my last corporate job in 2020.

Everything changed when I started using AI to create digital products and apps for my own business. I no longer needed to write every line of code by hand. Instead, I began vibe coding, telling the AI what I wanted to build, and it would generate the code for me in Python.

From there, I would tweak it, add features, or adjust anything that didn’t meet the mark. Sometimes, I skip coding altogether and use prompt engineering to achieve my desired outcome.

I can now create a printable workbook or journal in under 20 minutes

Before I started vibe coding, it could’ve taken me weeks or months to create a single course or printable. Now I can create a printable workbook in under 20 minutes, and I can create a course and an app in under an hour and a half.

I use ChatGPT, Midjourney, Ideogram, and Recraft to put everything together and make it look nice enough to sell. I also use Canva, which now has many AI features.

This shift has freed me to focus more on the overall design of the finished product, bringing the vision to life without getting bogged down in the technical details.

I’ve been using AI to create digital products in ways I haven’t seen anyone else do yet

I create digital workbooks using vibe coding in ChatGPT’s Python libraries. I even make the workbook fillable, so there’s no need to print it out.

People can fill out their workbooks in Adobe Acrobat on their computers, and the data is saved for them to refer back to again and again. I’ve even made fillable contracts and forms using my Fillable PDF Creator GPT tool.

I also love creating custom GPTs with Python, including workbooks, journals, e-books, checklists, clip art, seamless patterns, stickers, spreadsheets, and more, to sell.

My coding background has enabled me to think outside the box and push the limits of what AI can do

Consider a problem people face, and then think for yourself or ask ChatGPT what products you could develop to address it. I first do market research to see what problems people are having in my audience or a similar niche. I did this when I was a user experience designer, and it really helps validate your idea, as you know, there will be demand.

From there, I sketch the product idea into a visualization. I then use ChatGPT or another AI to help with the content further. I like to upload my sketch, so it can see what I mean. Once I get the necessary information, I then take it to Canva to create the design.

I sell both PLR and personal-use printables created with AI tools. I used to sell things at lower prices, like $27 and $47. I’ve raised my prices to start at $97 for courses and go up to $997 for comprehensive programs. I sell most of my printables in my Shopify store, shop.mombeach.com, for $7 to $37, and I also use Etsy.

Thanks to AI, I’ve expanded my product count to over 1,500. My specialization in AI and UX design has made me an expert in the field of digital products, so I feel confident charging what my products are worth.

I ask my community what they want and make it

I have an email list with over 170,000 people, so I’ll regularly send surveys to gauge their purchasing preferences.

Another great idea is to join Facebook groups in your niche and see what people are struggling with. You can think for yourself or ask ChatGPT for product ideas for those struggles.

The boho design is super popular, so I’ve been creating lots of boho clipart, stickers, printable planners, journals, seamless patterns, and coloring pages. The 1970s groovy style is also catching on, but I’m unsure if my audience would appreciate it. Just because something is trending doesn’t mean it is right for your audience.

I like to use Etsy research tools such as Sale Samurai and E-Rank. I also like using Book Publisher Rocket to find trending books on Amazon.

Vibe coding has changed how I see creativity and entrepreneurship

It has removed the barrier to entry for creating digital products and apps to sell, even for those with no knowledge of coding or artistic skills. Before, only artists and coders could create digital products to sell. Now, anyone with an imagination and an idea can create virtually anything they want.

AI is continually improving and requires less user input. Soon, it will tell you what digital products it wants to create.

If anyone is concerned about AI art and coding due to job loss, don’t be. I’m a trained artist and majored in fine arts in college. I see it as a tool to further my creativity. If you move along and learn it instead of being against it, you’ll increase your job security.

• Autodesk’s CEO said systems-level and interdisciplinary thinking is more important than coding.
• AI tools will increase code generation, reducing the need for traditional computer science roles, he said.
• He said education systems need to adapt to teach critical thinking and AI engagement for creativity.

Many tech executives still preach the importance of learning to code — but the CEO of software company Autodesk says there’s another skill that’s more important.

“If the coding models are going to be doing the code for you, what’s more important is that you understand there’s this whole notion of systems-level and interdisciplinary thinking,” Andrew Anagnost told Business Insider.

As someone who followed a non-traditional educational path before earning a Ph.D. in aeronautical engineering and computer science, Anagnost is a big advocate for interdisciplinary thought and exploration.

While he understands the value of diving deeply into a topic and gaining expertise in it, he doesn’t think going “incredibly deep into a narrow discipline” is what’s most important in today’s job market, unless the person has plans to be a research scientist.

Anagnost said that in a world where AI agents can perform specialized skills, understanding multiple disciplines and engaging in the “what and the how of how to create a product” will become increasingly important. He added that humans will need to take the role of “creative orchestrators” and manage the outcomes of AI systems.

A new era for computer scientists

Anagnost’s comments come as AI tools like Codex and GitHub Copilot have grown in popularity and are increasingly handling coding tasks that were previously core to the work of software engineers.

Anagnost said that with the emergence of AI tools, there will be “more people generating code than ever before,” and many of them won’t have backgrounds in computer science. The CEO said it will take just “a little bit of effort” to generate code that can perform very specific tasks.

“There’s no doubt as we move into the future, more people are going to be generating code in some way that runs computers in new and interesting ways,” Anagnost said. “It’s just going to be different people.”

Education needs may shift

Anagnost explained that the true value of a computer science education won’t lie in entry-level coding, and companies will likely reduce hiring for those roles. However, he said that computer scientists will still be needed for more advanced work, like deep modeling and algorithms.

Anagnost said that a software company typically employs four kinds of workers: a product manager, a product designer, an engineer, and a QA specialist who tests the product. The CEO said that in the future, those four roles can likely be reduced to two, with product designers working with a coding agent to test the software.

In those situations, Anagnost said there will need to be people with “total systems thinking” about how everything works together. Anagnost said that education systems will need adapt to that shift and teach students how to think critically and engage with AI tools to expand creativity.

“There’ll probably be less people with traditional computer science degrees and software companies,” Anagnost said. “But there’ll probably be more people creating product than ever before.”

• Tesla’s chief designer, Franz von Holzhausen, is talking about that Cybertruck moment.
• In a 2019 demo, he threw a metal ball at two Cybertruck windows to show their durability. They shattered.
• In a recent interview, he chalked it up to “Murphy’s law” and called it a “great marketing moment.”

It was an awkward blooper that may have been a blessing in disguise.

When Tesla unveiled the Cybertruck in 2019, the company’s chief designer, Franz von Holzhausen, stood next to CEO Elon Musk and threw a metal ball at the car’s windows to prove their durability.

The only problem? The Cybertruck’s windows shattered.

In a recent interview, von Holzhausen spoke about the story behind the viral incident.

He’d done a test run on the armored glass windows “multiple times right before we went live on the stage,” he said in an interview with Tesla Club Austria published Saturday.

“I think it was just one of those Murphy’s law kind of things where something bad happens. But it turned out to be a great meme,” he said.

The incident also “turned into a great marketing moment” for the company, which famously doesn’t advertise.

Shortly after the debacle, Tesla started selling a $45 T-shirt with a shattered design poking fun at the accident.

“The ball didn’t go through the window, so you know, you’re still safe,” von Holzhausen said. “It was not an expected moment, but in that moment, you have to roll with it.”

Shortly after the mishap, Musk offered an explanation on X, then known as Twitter. A few moments before throwing the ball at the two windows, von Holzhausen had taken a sledgehammer to the door of the Cybertruck to prove it was sturdy. Unlike the windows, the door held up against the impact.

“Sledgehammer impact on door cracked base of glass, which is why steel ball didn’t bounce off. Should have done steel ball on window, then sledgehammer the door,” Musk said in his explanation.

Musk laughed off the incident during the live event, saying there was “room for improvement.”

Musk released a slow-motion video shortly after the fail, showing the Cybertruck’s windows remain unscathed after von Holzhausen threw a steel ball at them off-stage.

Tesla did not immediately respond to a request for comment.