Week 13/14. Can AI empower anyone to be a coder? You'll love the answer
Github Research on the economic and productivity impact of generative AI–powered developer tools.

Week 13/14. Can AI empower anyone to be a coder? You'll love the answer

If you're new here, I'm building No-Code Camp in public and sharing my ongoing progress, including my mistakes, over the past few weeks. No-Code refers to the use of software tools and platforms that allow anyone to create websites, apps, workflows, and more without writing any code. It's a powerful way to unleash your creativity and solve problems without having to learn complex programming languages or hire developers. I'm passionate about No-Code and wanted to share my knowledge and experience with others who are interested in learning this skill. That's why I created a bootcamp that teaches you how to build your own No-Code projects from scratch in just 12 weeks. You'll learn how to use tools like Webflow, Zapier, Airtable, and Bubble, and how to integrate them to create amazing digital products. The program will initially be offered in Portuguese. Join our Community here: https://www.nocodecamp.io/

In this edition, I will cover the past two weeks. During this period, I launched the first cohort of No-Code Camp. I spent a significant amount of time inviting people to join and had numerous conversations with potential participants to better understand their vision and gather their initial feedback. It's encouraging to see people interested in and subscribing to the program. These early signals of validation show that we are addressing a genuine need within the community. Moving forward, I am excited to validate and improve the course curriculum and program structure with the first group of participants.

The future of Software Development.

The productivity gains from AI developer tools like GitHub Copilot could add an additional 15 million "effective developers" by 2030, potentially boosting global GDP by over $1.5 trillion.

A recent study involving almost 1 million users revealed that GitHub Copilot, an AI-powered developer tool, has made a significant impact on software development in just one year since its launch. It has been adopted by over one million developers and 20,000 organizations, generating billions of lines of accepted code. Research indicates that GitHub Copilot has increased developer productivity, particularly for less experienced developers. The use of AI developer tools like GitHub Copilot could potentially boost global GDP by over $1.5 trillion by 2030. Additionally, GitHub Copilot has resulted in faster task completion, improved developer satisfaction, and increased coding language skills.

Artificial Intelligence (AI) can revolutionize the way in which businesses and individuals create software applications. Thanks to AI, even those without extensive coding experience can now create and deploy applications. This also can be understood as a kind of "No-Code" development, or at least “Low-Code”. With AI, No-Code mindset has been taken to the next level, providing even more opportunities for individuals and businesses to create applications without having to write extensive code. This means that less experienced professionals can now create custom applications with ease. AI-powered no-code development has truly changed the game, making software development accessible to a much larger audience and accelerating the process of building applications for less experienced software developers.

Another announcement that caught my attention last week was about Figma introducing Dev Mode, a new workspace designed to cater to developers' needs by providing quick access to the information and tools they require. With Dev Mode, developers can easily find measurements, specifications, and assets, and export code snippets.

Bolder Experiments.

In the near future, we will likely be able to create digital solutions effortlessly by instructing artificial intelligence to fulfill our needs. With this new technology, we will have the ability to refine projects with much more agility than we currently possess. This revolutionizes the way we approach problem-solving. Some companies are developing products that utilize cutting-edge AI technology to enable users to create stunning websites and apps with simple instructions. This significantly reduces the time it would take to do so manually. The emergence of these products marks a significant shift in the way we approach project development and has the potential to revolutionize the industry as a whole.

Some projects that I am following but have not yet been able to test with a relevant example:

  • Framer AI: A tool that uses machine learning to analyze user interface designs and generate new designs based on user preferences and existing designs.

  • Uizard Autodesigner: An AI design innovation that allows users to use simple text to generate multiscreen mockups for apps and websites.

  • Reactable: A tool that allows users to create web applications by providing instructions through chat. The chatbot interprets the user's instructions and generates custom code based on those instructions.

Instead of eliminating coders, the emergence of this AI technology is more likely to make a significant group into coders. With generative AI coding, anyone could express their ideas and requirements in natural language (in my case, Portuguese or English), and the generative AI will convert it into usable code in mere seconds. This would revolutionize the way software development is conducted, making coding accessible to a wider audience and allowing for more diverse and innovative projects.

However, it is essential to remember that knowing how to handle the relevant tools is not the only thing that matters. In order to utilize these new technological advancements effectively, it is crucial that we have a deep understanding of the fundamentals that underpin them. By doing so, we will be able to make better decisions and ask for what we need in the most effective manner. By continuously improving our products, we will be able to better meet the needs of our end users.

My conclusion.

In the current fast-moving technological environment, the roles of developers and designers are becoming more integrated. Developers have a strong grasp of the technical aspects of software development, allowing them to utilize their expertise in order to create and deliver value more efficiently. This shift towards a more collaborative approach to software development is leading to a more seamless and comprehensive user experience. Consequently, the boundaries between developers and designers are becoming less distinct, making the future of software development appear more thrilling than ever before. While we can certainly utilize this approach to develop rather basic applications and websites, it is important to exercise caution in doing so. We must keep in mind that many of the scenarios we encounter tend to be quite complex in nature, often requiring the expertise of not just AI technology but also highly specialized software developers with a deep understanding of context and subject knowledge. Given the technical challenges that may arise in these contexts, it is crucial that we remain vigilant and take a measured approach to ensure the best possible outcomes.

While we can certainly utilize this approach to develop rather basic applications and websites, it is important to exercise caution in doing so. We must keep in mind that many of the scenarios we encounter tend to be quite complex in nature, often requiring the expertise of not just AI technology but also highly specialized software developers with a deep understanding of context and subject matter knowledge. Given the technical challenges that may arise in these contexts, it is crucial that we remain vigilant and take a measured approach to ensure the best possible outcomes.

According to a Microsoft study, the COVID-19 pandemic has accelerated digitalization worldwide, and the demand for software developers is expected to continue to grow in the coming years. It is estimated that by 2025 there will be around 149 million technology jobs worldwide, and most of them will require programming skills. However, the availability of programming talent cannot keep up with the demand, which means there is a huge opportunity for AI tools like GitHub Copilot to empower more people to become programmers and help fill this skills gap.

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Thanks to AI, it's easier than ever to bridge the gap between what we intend to do and what we actually do. What this means is that AI has become an essential tool in our daily lives. It has not only changed how we approach problem-solving, but also has elevated the work of designers. In fact, the rise of AI represents a platform shift that has the potential to reshape the way we build, what we build, and who builds it. As AI continues to advance, we can expect to see a significant shift in the workforce, with new job opportunities and skill requirements emerging. Companies and organizations that invest in AI now will be better positioned for success in the future.

Check out Lesson 01 for FREE.

If you're interested in learning No-Code and Artificial Intelligence skills, check out Lesson 01 of No-Code Camp for free. This lesson will give you a taste of what the program has to offer and help you decide if it's the right fit for you. Join the first cohort and let's embark on this exciting journey together!


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