I’ve put together a video to show how the JetBrains AI assistant works. This tool integrates with the IDE, letting you describe what you need in a chat-like interface. From there, it generates the code, including files and fields, all in one go. Back in 2022, I experimented with GitHub Copilot, which relied on prompts in comments to suggest code snippets.

The JetBrains approach feels different as you’re directly telling it what to build, and it sets up the whole system. I had an unfinished project, just a rough starting point, and used this assistant to complete it in a couple of hours. The video walks through the process, showing how it handles everything step-by-step. For more thoughts on how AI is changing development, check out my article on how AI is changing art and programming. It’s an interesting shift in coding tools, so take a look if you’re curious about how it functions.

This development approach aligns well with modern DevOps practices where automation and efficiency are key. The ability to quickly generate and modify code is particularly valuable when working with containerized applications or when you need to rapidly prototype new features. For those interested in scaling their development workflow, you might also want to explore serverless architectures which can complement these AI-assisted development tools.