Technical blog
Exploring the Hype Around Claude 3.5 Sonnet by Anthropic
created by Claude 3.5 Sonnet
Vlado Balko
22. 6. 2024
AI
Introduction
A year ago, I used ChatGPT-4 to create a simple JS game and wrote about it. Check it out here. This week, I discovered Anthropic’s new Claude 3.5 Sonnet, and it blew me away.
Discovering Claude 3.5 Sonnet
Initially, I was hesitant to try another new AI model — there are just so many these days. But after watching Wes Roth’s review, I was intrigued. Watch the review. Wes’s enthusiasm and detailed breakdown convinced me to give Claude 3.5 Sonnet a shot.
My Experience
From the moment I started using Claude 3.5 Sonnet, I was amazed. Its ability to generate functional code with minimal errors was unlike anything I’d seen before. With older models, I often had to debug and correct a lot of mistakes. But with Claude 3.5 Sonnet, the code was almost flawless right from the start.
For instance, I tasked it with creating a simple web game. The results were stunning. The code was clean, efficient, and required very few tweaks to get it just right. This model understands the nuances of coding in a way that feels almost human. It’s like having an incredibly skilled developer working alongside you.
Projects Created with Claude 3.5 Sonnet
I put Claude 3.5 Sonnet to the test by creating two projects: a Bricks Breakout game and a 3D particle demo. Both turned out to be impressive showcases of what this AI model can do.
Bricks Breakout Game: Check it out here and explore the code on GitHub.
3D Particle Demo: See the demo here and the source code on GitHub.
Creating these projects was a breeze with Claude 3.5 Sonnet. The model handled the complexities of the 3D particle demo and the logic of the breakout game with ease, requiring minimal corrections.
Limitations and Potential
Of course, there are still some limitations. The message limit, which renews a few times a day, can be a bit of a hassle. It reminded me of the early days of ChatGPT-4 when I faced similar constraints. But even with this limitation, the benefits far outweigh the drawbacks.
Imagine the potential of integrating Claude 3.5 Sonnet into development IDEs like VS Code. If it could access entire projects, GIT repositories, and run command-line tools, it would revolutionize the development process. We could see an evolutionary leap in our IT world.
Practical Applications
I can see this model being a huge asset for tasks like creating web pages, developing simple games, and even more complex projects. It’s like having a supercharged assistant that can handle a variety of coding tasks with ease. The efficiency and accuracy it brings to the table are unparalleled.
While it’s not perfect and still requires some iteration to get everything just right, the amount of time and effort it saves is incredible. The model’s ability to understand and execute instructions with such precision is what sets it apart from previous iterations and other AI models on the market.
Conclusion
Claude 3.5 Sonnet has taken code generation to new heights. Its accuracy, efficiency, and near-flawless execution have set a new standard. I’m excited to see how this technology will evolve and impact the future of software development. If you haven’t tried it yet, I highly recommend giving Claude 3.5 Sonnet a shot. It might just change the way you code forever.
