OpenAI’s GPT 4o with canvas, launched in October, has been preemptively opened to paid users, and under the new interface, whether it is marketing copywriting manuscripts or development codes, users can adjust them in a more intuitive way, which greatly improves efficiency.
GPT Canvas is like a smart assistant that helps you write articles and design programming quickly, with real-time rewrites, suggestions, and bug fixes along the way. Next, today we’re going to look at the optimizations that programming has made in the interface to give you a quick overview of Canvas：
GPT Canvas：A new experience for writing code
1. Real-time debugging and recommendations
Canvas provides debugging and suggestions as you write code. With support for multiple languages, whether it’s Python or JavaScript, Canvas can help identify syntax errors, structural issues, or logical errors, reducing the time spent in Debug and Code Review in the past.
2. Paragraph rewriting and optimization
In the past, if the code generated by GPT was not ideal, it could only be re-narrated and made to generate the code again, and it could not be written for the fragment. Therefore, in the past, in the process of collaboration, a lot of time was often spent communicating back and forth with AI, which was relatively inefficient.
The Canvas interface can be rewritten for specific clips and re-modified according to the instructions, so that your program can be adjusted to the ideal state in less time.
3. Multi-language support
Canvas supports a variety of programming languages, from front-end HTML/CSS, JavaScript, to back-end Python, Java, and even SQL queries, providing code completion and suggestions.
In this way, whether you are doing front-end development or back-end maintenance, you can quickly adjust the programming language you use, and you don’t have to spend a lot of time learning various languages.
4. Annotations are added automatically
When writing code, adding annotations is a time-consuming but important task. Canvas can help you automatically generate annotations that conform to the logic of your program, making your code easier to understand and maintain, so that you don’t have to be distracted by tedious annotation work and focus on core development tasks.
Conclusion
The power of this revamped Canvas lies in its ability to work more closely with AI to develop more complex technologies. In the future, as the Canvas interface continues to be optimized, we can expect it to become a standard tool in more professional fields. If you need a powerful programmer, Canvas will ease your work with real-time interaction, precise rewriting, multi-language support, and real-time debugging!
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