Revolutionizing Software Development: The Impact of ChatGPT and AI on the Industry
ChatGPT has changed software development! However, ~70% of Software Engineers still don’t use it. There are numerous ways to use it to increase productivity and quality:
1. Generate boilerplate code
To build a new project from scratch, I ask ChatGPT to create a skeleton of the app I need, using the technologies, frameworks and versions I choose.
I can even make it part of my team’s documentation. It saves at least an hour or so each time.
2. Research and compare
Many times, there are different ways to implement something. So, my usual approach is to build a rough PoC of two competing approaches and compare them.
ChatGPT can do it for me:
- React vs Vue
- Algorithm A or B
- etc.
This saves half a day of work, easily.
3/.Explain the code
How many times our work is simply to understand a code base that wasn’t built by us? Spaghetti code, with no comments. We die a little bit line by line.
Now we can ask ChatGPT to explain what the code does, and we save a bunch of time.
4. Comment code
We can extend the point 3 above by adding line-by-line comments to that code base we didn’t build.
But we can also make our own code properly commented before shipping, by asking ChatGPT to add comments.
No more uncommented code in PRs.
5. Write test cases
Ask ChatGPT to generate test cases for a list of scenarios. Even tell which framework, version etc. you want to be used. Boom, it will do it for you.
No more untested PRs.
6/. Write documentation
You can ask ChatGPT to write documentation on things like:
- How to spin up a certain code base,
- The packages required for it to run
- What the code does,
- What are the known limitations?
- Etc.
It might not be perfect, but the 80/20 rule applies.
7. Generate regexes
Regexes are one of those specific syntaxes we don’t use from time to time. We need to Google, look up syntax and spend significant time every time we need one.
Not anymore, we can just ask ChatGPT to generate it.
8. Rewrite code using correct style
I just wrote down some code conventions from one of my teams and added it to the prompt, along with some spaghetti code.
Very useful when merging code from different repos/teams, that would need to be refactored before merging.
9/. Find bugs in your code
When you know what you want, but the code doesn’t do what you want. Instead of adding console.logs all over the place, you can ask ChatGPT to spot the bug for you.
This works best on function-level bugs, not repo level. Still, a massive improvement.
10. Leetcode type algorithms
If you need a specific isolated function, to run on optimal complexity. ChatGPT can get you a very fast start.
An obvious use case for this is coding interviews. But sometimes it’s useful in day-to-day work too.
Conclusion:
Overall, AI and machine learning have the potential to significantly improve the speed, accuracy, and efficiency of software development, leading to better products and services for users.
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