Should You Use ChatGPT for Coding?

As developers, we often encounter bugs or challenges that leave us

scratching our heads for hours. Recently, I’ve been experimenting

with using ChatGPT for coding assistance. Here's what I learned — and

whether I think you should use it too.

Instant Solutions to Common Problems If you're stuck on something routine, like syntax errors or API references, ChatGPT can quickly generate solutions that save you time. Instead of digging through documentation or Stack Overflow, I’ve been able to get the answer in seconds.

Explaining Complex Concepts ChatGPT shines when you need explanations. Whether you're struggling to understand closures in JavaScript, async/await in TypeScript, or multithreading in Rust, the model provides clear and concise explanations that help me grasp difficult topics faster.

Code Generation & Snippets Need a quick function for sorting or file handling? ChatGPT can generate reusable snippets. I’ve saved a lot of time by using these as starting points and tweaking them for my specific needs.

Learning New Languages When picking up a new programming language like Swift or Rust, ChatGPT has helped me create small projects, understand syntax, and write starter code, which has accelerated my learning process.

Not Always Perfect ChatGPT isn’t always 100% correct. Sometimes the generated code has minor issues or edge cases that need manual fixing. It’s a great tool for brainstorming or getting past roadblocks, but you still need to verify the accuracy of its output.

No Real-Time Debugging While ChatGPT can help with general debugging, it lacks the ability to fully understand your project’s specific context, dependencies, or local environment, which means it’s not a complete replacement for hands-on debugging.

Lack of Awareness on Best Practices While the tool provides functional code, it may not always align with best practices or patterns in your particular stack. For instance, in frameworks like React or Next.js, you’ll want to check if the code adheres to common conventions.

In my experience, yes, but with a couple of caveats:

Use it as a starting point for your problem-solving. It can help accelerate your process, but don’t rely on it for final solutions, especially on more complex issues.
Double-check the output. Always test the generated code to ensure it works as expected, and keep an eye on best practices.
Use it as a learning tool. It’s a great way to understand concepts, experiment with new languages, and get unstuck without having to browse endless documentation.# Should You Use ChatGPT for Coding?

As developers, we often encounter bugs or challenges that leave us

scratching our heads for hours. Recently, I’ve been experimenting

with using ChatGPT for coding assistance. Here's what I learned — and

whether I think you should use it too.

Instant Solutions to Common Problems If you're stuck on something routine, like syntax errors or API references, ChatGPT can quickly generate solutions that save you time. Instead of digging through documentation or Stack Overflow, I’ve been able to get the answer in seconds.

Explaining Complex Concepts ChatGPT shines when you need explanations. Whether you're struggling to understand closures in JavaScript, async/await in TypeScript, or multithreading in Rust, the model provides clear and concise explanations that help me grasp difficult topics faster.

Code Generation & Snippets Need a quick function for sorting or file handling? ChatGPT can generate reusable snippets. I’ve saved a lot of time by using these as starting points and tweaking them for my specific needs.

Learning New Languages When picking up a new programming language like Swift or Rust, ChatGPT has helped me create small projects, understand syntax, and write starter code, which has accelerated my learning process.

Not Always Perfect ChatGPT isn’t always 100% correct. Sometimes the generated code has minor issues or edge cases that need manual fixing. It’s a great tool for brainstorming or getting past roadblocks, but you still need to verify the accuracy of its output.

No Real-Time Debugging While ChatGPT can help with general debugging, it lacks the ability to fully understand your project’s specific context, dependencies, or local environment, which means it’s not a complete replacement for hands-on debugging.

Lack of Awareness on Best Practices While the tool provides functional code, it may not always align with best practices or patterns in your particular stack. For instance, in frameworks like React or Next.js, you’ll want to check if the code adheres to common conventions.

In my experience, yes, but with a couple of caveats:

Use it as a starting point for your problem-solving. It can help accelerate your process, but don’t rely on it for final solutions, especially on more complex issues.
Double-check the output. Always test the generated code to ensure it works as expected, and keep an eye on best practices.
Use it as a learning tool. It’s a great way to understand concepts, experiment with new languages, and get unstuck without having to browse endless documentation.