The future of AI software development

Written on
18 June 2024
by
Christian Boer
Partner & Thinker
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The rise of AI is revolutionizing software development. While it may be in its early stages now, it is certain that it will become the norm in not too long. To be on the winning side, you have to start experimenting now. But where do you start? And how do you integrate AI into your development process? In the “AI Assisted Development” webinar, I'll reveal how AI tools like Github Copilot and builder.io's Visual Copilot are redefining the rules of development and design. In this blog, I dive deeper into the webinar content.

Software development alters

The world of software development is changing dramatically. Nowadays, software development isn't just about writing code. It's also about managing increasing complexity, promoting cross-team collaboration, and reducing risks. These challenges have a major impact on developer productivity and require tools that streamline processes and improve efficiency. The rise of AI plays a crucial role in this.

Github Copilot: Leading the AI Revolution

Of all AI-supported tools, Github Copilot is the most well-known. With its AI-driven approach to code suggestions and automation, it shows how AI significantly boosts developer productivity.

In the webinar, we show what options Github Copilot offers. We emphasize the role of context in its functionality. This way, you can see how Github Copilot integrates into your work and project context in real time. It speeds up your development process by making direct code proposals. Our demo shows how Copilot understands the nuances of the code you're writing and how it suggests relevant fragments and structures based on your work. We are fans!

Learning from strengths and weaknesses

As with all other AI applications, it's important to remember that, despite its power, Github Copilot is not infallible. We need to learn how to check and adjust AI results. Because no matter how smart algorithms are, we all know the people with seven fingers in AI photos and ChatGPT's nonsense answers. Funny on social media, but not in a business context. To work with AI, we must learn to take advantage of its power and learn to compensate for the weaknesses. This requires insight from the developer for optimal results.

You are responsible for the result. You are the expert. The quality of your work still depends on your experience and judgment.

There's more than Github Copilot

In the webinar, we will not only focus on GitHub Copilot, but also explore a wide range of other AI programming tools on the market today. We analyse the unique strengths and weaknesses of each of these tools, including Amazon Q, Jetbrains AI, and Phind, to provide a comprehensive view of how AI is transforming the world of software development. Expect in-depth comparisons and insights that help you choose the best AI tools for your programming needs.

Builder.io's visual co-pilot

To illustrate the versatility of AI copilots and Large Language Models (LLMs), let's show builder.io's Visual Copilot. This tool highlights the power of AI in design and model-driven development and offers a glimpse into a future where AI goes beyond programming and affects all aspects of software creation.  

AI as an assistant, not a replacement 

We will end the webinar with a discussion about the role of these AI tools in the development process. While they bring efficiency and are invaluable in learning and problem solving, they do not replace the critical thinking, creativity, and deep understanding that human developers bring. AI helps but does not replace the unique human perspective in software development.

The potential is enormous...

It is undeniable that we are on the verge of a major revolution. And neither does AI for software development offer opportunities and threats for every company. The best way to emerge victorious from this' battle '? Start today! Experiment and learn what AI can do for your development process.