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Thanks to ChatGPT, I’m happy to share with you 7 amazing ways that have helped me personally become a better and faster programmer. These great tips not only help you avoid common mistakes, but they also reveal the amazing capabilities of having his AI co-pilot by your side in your coding efforts. Let’s improve our coding skills together!
Project planning is the most important stage of any venture as it lays the foundation for success. Having ChatGPT’s help during the planning stage is invaluable as it helps you consider the overall scope, architecture, requirements and feasibility of your software development or data science project.
By describing your goals, constraints, and use cases in ChatGPT, you can provide useful suggestions for:
- Technologies and tools you can choose based on your specific needs
- High-level design and architecture
- Key tasks and steps to perform in proper order
- Potential Problems, Risks and Obstacles to Watch Out for
I’ve been using ChatGPT insights for machine learning and data science project planning. It has effectively helped me choose the right tools, techniques and datasets to address my particular problem. ChatGPT’s suggested workflow and roadmap also saved me time by pointing me in the right direction from the start. To learn more about project planning with ChatGPT, see Guide to using ChatGPT in data science projects.
Avoid asking ChatGPT to code your entire end-to-end system from scratch. It can miss edge cases and generate generally flawed code that doesn’t meet specific requirements.
Instead, focus ChatGPT’s assistance on smaller, well-defined tasks within the overall system. I ask you to generate the code below.
- A specific function or method that performs a single logical step
- A separate class representing a well-bounded portion of the domain
- Individual algorithms or processes within a complete workflow
Dividing the problem into these smaller components produces more manageable and modular code.
ChatGPT suggests ways to make your code cleaner and more readable by following language and framework best practices.
With ChatGPT, you can clearly rename variables, break up long functions logically, reduce nesting, add inline comments, format your code consistently, and make your code more readable for your collaborators. It can be easy, maintainable, and bug-free.
After generating code, it’s important to validate it on an isolated machine before pushing it to production or a remote repository. It’s important not to rely entirely on the functionality of your code. Make sure you’re using the latest API.
One of the important aspects of software development is creating test functions for important functionality. We understand that unit testing applications can be challenging, especially for machine learning engineers and data scientists. But with ChatGPT, you can generate test cases for any function within seconds.
ChatGPT is a Conversational AI, and you can continuously request assistance in adding or removing elements from the code, or even request improvements. If you get an error, please copy and paste the error message and ask ChatGPT to generate an improved version of the code.
It understands the context and generates code specifically tailored to the task at hand, ensuring functionality and effectiveness.
Properly documented code is essential for your own and other developers to understand your project. ChatGPT helps you document your code through comments, docstrings, README files, wiki pages, and other documentation based on language and tools.
All you need is to provide a brief description of your project and a snippet of code. ChatGPT produces clean, readable documentation that greatly aids in understanding your codebase.
Debugging is a very important part of programming because it helps you find and fix errors in your code. However, let’s admit that debugging can be a bit tricky, especially when dealing with complex code.
ChatGPT can help you debug your code and understand the problems you are facing overall while running your code. It analyzes your code, understands its structure, and provides insight into potential errors and bugs. In addition, ChatGPT can also help you integrate systems, learn new programming languages, or offer multiple solutions to specific problems.
As a data scientist, I love using ChatGPT for code generation, planning, and writing better. It feels like you have a friend by your side to help you! With ChatGPT as your coding assistant, you can easily create clean, bug-free code in seconds. All I have to do is enter a project description and ask them to generate code for a specific task.
Of course, like any friend, ChatGPT has its frustrating moments. Sometimes you have a hard time understanding the context or can’t fix coding issues. Also, since it was trained on old data, it may not be up to date with the latest APIs. But we all have our quirks, right?
Abid Ali Awan (@1abidaliawan) is a certified data scientist professional who loves building machine learning models. She now focuses on content creation and writes technical blogs on machine learning and data science techniques. Avid holds a Master’s degree in Technology Management and a Bachelor’s degree in Telecommunications Engineering. His vision is to use graph his neural networks to build his AI product for students suffering from mental illness.
