Coding can be a thrilling yet challenging process, whether you’re a professional developer managing complex projects or a beginner learning the basics. With the rapid advancement of artificial intelligence (AI), coding is evolving significantly. Notably, Google’s CEO, Sundar Pichai, revealed that over 25% of new code at Google is now generated by AI, with human engineers reviewing and accepting these contributions.

Additionally, a recent GitHub survey found that 92% of U.S.-based developers are using AI coding tools both in and outside of work. These tools are reported to enhance code quality, expedite output processes, and reduce production-level incidents. ChatGPT serves as a coding companion always ready to assist—but how can you make the most of it? Let’s explore best practices, examples, and the current limitations of using ChatGPT for coding.

Is it Safe to Share code with AI?

The first concern for developers is safety: “Can I share my code with an AI?”

Privacy Guidelines:

ChatGPT does not store or use your code for training unless you’re explicitly working within enterprise solutions like OpenAI’s API with clear data policies. However, here are some key tips:

  • Avoid sensitive data: Never share API keys, passwords, or proprietary code.
  • Anonymize your code: Replace sensitive data with placeholders, like dummy_user or test_api_key.

If you’re unsure, double-check your company’s data policies or consider using ChatGPT in a private, secure environment.

What Are the Best Tasks ChatGPT Can Do for Us?

ChatGPT is a versatile tool that shines in a wide range of coding-related tasks. Whether you’re a seasoned developer tackling complex projects or a beginner trying to make sense of programming basics, ChatGPT has something to offer. It’s like having a helpful coding buddy who’s available 24/7, ready to guide you, brainstorm solutions, or just save you from getting stuck. Let’s explore all the ways it can make your development journey smoother and more enjoyable:

  1. Generate Code Snippets

ChatGPT is perfect for writing boilerplate code, solving algorithm problems, or creating utility functions. For instance:

Example: Create a Utility Function to Validate Email Addresses 

# You: "Create a Python utility function to validate email addresses."

import re

def is_valid_email(email):
    """
    Validate an email address using a regex pattern.

    Args:
        email (str): The email address to validate.

    Returns:
        bool: True if the email is valid, False otherwise.
    """
    email_pattern = r'^[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}$'
    return re.match(email_pattern, email) is not None

# Example usage:
emails = ["test@example.com", "invalid-email@", "user@domain", "user@domain.com"]

for email in emails:
    print(f"{email}: {'Valid' if is_valid_email(email) else 'Invalid'}")
  1. Debugging and Error Fixing

Got an error? Just copy-paste it into ChatGPT! It quickly analyzes the issue, suggests fixes, and explains what went wrong, saving you time and frustration so you can get back to coding.

Example: Fixing a Syntax Error

Error:

SyntaxError: unexpected EOF while parsing

ChatGPT Explanation:

“This error occurs when a block of code isn’t completed. You may have forgotten a closing parenthesis or colon.”

Fixed Code:

if x > 5:
    print("x is greater than 5")
  1. Refactor and Optimize Code

Refactoring code for readability or efficiency is one of ChatGPT’s superpowers.

Example: Removing Redundant Logic

Before:

getProcessedItemIds() {
    let items = this.props.itemData && this.props.activeCategory &&
        this.props.itemData[this.props.activeCategory.key] !== undefined
        ? this.props.itemData[this.props.activeCategory.key]
        : [];
    
    let ids = [];
    for (let i in items) {
        let item = items[i];
        if (item.hasPropertyX) {
            ids.push(item.uniqueId);
        }
    }
    return ids;
}

After:

getProcessedItemIds() {
    const { itemData, activeCategory } = this.props;

    // Retrieve items based on the active category, defaulting to an empty array
    const items = itemData?.[activeCategory?.key] || [];

    // Filter items with the required property and map to their unique identifiers
    return items
        .filter(item => item.hasPropertyX)
        .map(item => item.uniqueId);
}
  1. Learning New Frameworks or Libraries

Starting with a new framework can be daunting, but ChatGPT makes it easier. Whether it’s React, Flask, or Django, it provides clear explanations, step-by-step instructions, and practical examples. From setup to understanding core concepts, ChatGPT helps you build confidently and get up to speed quickly.

Example: Flask API Example 

# You: "Create a Flask API with one endpoint that returns a welcome message."
from flask import Flask, jsonify

app = Flask(__name__)

@app.route('/')
def home():
    return jsonify({"message": "Welcome to my API!"})

if __name__ == '__main__':
    app.run(debug=True)
  1. Writing Documentation

Let’s face it—writing documentation isn’t exactly the most exciting part of coding. It’s one of those tasks that always seems to get pushed to the bottom of the to-do list. But here’s the good news: ChatGPT can make it a breeze! Instead of spending hours crafting detailed explanations or adding comments to your code, just let ChatGPT handle it. It can generate clear, concise documentation in seconds, whether it’s function descriptions, class summaries, or even Markdown files for your project. It’s like having a personal assistant who loves writing docs, leaving you free to focus on the fun part—coding!

Example: Add Comments to Code

Before

def add(a, b):
    return a + b

After

def add(a, b):
    """
    Add two numbers together.

    Args:
        a (int): The first number.
        b (int): The second number.

    Returns:
        int: The sum of the two numbers.
    """
    return a + b
  1. Automating Repetitive Tasks

Setting up configuration files, CI/CD pipelines, and Dockerfiles can often feel like a repetitive and time-consuming chore. Thankfully, ChatGPT is here to make that process much smoother and faster. Whether you’re deploying a simple web app or orchestrating a complex multi-service architecture, ChatGPT can quickly generate the necessary files tailored to your needs. It can define environment variables, set up build and deployment steps for CI/CD pipelines, or create a Dockerfile that works seamlessly with your tech stack.

Need to automate your workflows with a custom bash script or schedule tasks using a cron job? ChatGPT has you covered! Simply describe your requirements, and it can generate scripts to handle repetitive tasks or cron job syntax to automate processes at specific intervals. With ChatGPT, tedious setup becomes a thing of the past, leaving you free to focus on developing and fine-tuning your applications. It’s like having a super-efficient assistant ready to streamline your workflow!

Example: Generate a Dockerfile 

# You: "Write a Dockerfile for a Python app."
FROM python:3.9-slim

WORKDIR /app
COPY requirements.txt .
RUN pip install -r requirements.txt
COPY . .
CMD ["python", "app.py"]

Example: Generate a bash script to back up a directory  

#!/bin/bash

# Script to back up a directory

# Define variables
SOURCE_DIR=$1
DEST_DIR=$2
DATE=$(date +%Y-%m-%d)
BACKUP_NAME="backup_$(basename "$SOURCE_DIR")_$DATE.tar.gz"

# Check if the source directory exists
if [ ! -d "$SOURCE_DIR" ]; then
  echo "Error: Source directory $SOURCE_DIR does not exist."
  exit 1
fi

# Check if the destination directory exists
if [ ! -d "$DEST_DIR" ]; then
  echo "Error: Destination directory $DEST_DIR does not exist."
  exit 1
fi

# Create the backup
tar -czf "$DEST_DIR/$BACKUP_NAME" -C "$SOURCE_DIR" .
if [ $? -eq 0 ]; then
  echo "Backup successful: $DEST_DIR/$BACKUP_NAME"
else
  echo "Error: Backup failed."
  exit 1
fi

Current Disadvantages of Using ChatGPT for Code

While ChatGPT is powerful, it’s not perfect:

  1. Limited Context Awareness

ChatGPT doesn’t have access to your entire codebase. It might miss dependencies, integrations, or project-specific requirements, leading to incomplete or incorrect solutions.

  1. Struggles with Long Code

It often loses context when dealing with long or complex code. This can result in unnecessary refactoring or adjustments, breaking the original logic.

  1. Error-Prone

Generated code can have syntax or logical errors. Always test and review output.

  1. Speed of Code Generation

Generating code isn’t always instantaneous, especially for complex or detailed prompts, which can slow down development workflows.

  1. Outdated Knowledge

ChatGPT may suggest outdated libraries or practices if its training data is old.

Example: Recommending pip install for a library that now uses poetry add.

  1. Lack of Debugging Capabilities

While it can explain errors, ChatGPT cannot execute or debug code in real-time, limiting its ability to provide tested and verified fixes.

  1. Over-Reliance on AI

Developers might rely too heavily on ChatGPT, hindering their own skill development and problem-solving abilities.

  1. Potential for Misuse or Exposure

Sharing sensitive or proprietary code with ChatGPT, even if anonymized, poses privacy risks. Care must be taken to avoid exposing critical information.

  1. Generalization Over Specificity

ChatGPT often provides generic solutions that may not fully align with niche or highly specific coding needs.

Tips to Maximize ChatGPT’s Potential

  • Be Clear About What You Need

Don’t be vague. Instead of saying, “Help me with sorting,” try something like, “Write a function to sort a list of numbers in Python using merge sort.” The more specific you are, the better the response.

  • Break It Down

If your task is complicated, ask for smaller chunks of help. For example, instead of requesting an entire app, start with, “Write a function for user authentication.”

  • Always Provide the Code to Update:

When asking for changes, share the exact piece of code that needs adjusting. Clearly explain what you want changed.

  • Refine If Needed:

If the first response isn’t exactly what you wanted, don’t worry! Rephrase your request or ask for specific tweaks. Iteration often leads to better results.

  • Test Everything:

Don’t just copy and paste. Run the code, see if it works, and make adjustments as needed. ChatGPT can help a lot, but it’s not always perfect.

  • Give Context:

Let ChatGPT know what you’re working on. For example, mention if you’re using React, Flask, or another framework. This helps it give answers that fit your setup.

  • Learn While You Go:

Use ChatGPT not just for code but also to learn. Ask it to explain concepts or errors. It’s a great way to build your understanding.

  • Let It Handle the Tedious Stuff:

Use ChatGPT for boilerplate code, setting up configs, or writing repetitive functions so you can focus on more creative work.

  • Collaborate With Your Team:

Share the code ChatGPT generates with teammates to refine or brainstorm further. It’s a great starting point for discussions.

  • Don’t Share Sensitive Info:

Avoid sharing API keys, passwords, or private code. Always keep sensitive data safe.

  • Get Help With Documentation:

Ask ChatGPT to write comments, API docs, or even user guides. For instance, “Write JSDoc for this function.”

  • Keep Up With Updates:

Stay in the loop about new features or integrations with ChatGPT that could make your work easier.

  • Finally, use It as a Helper, Not a Replacement:

ChatGPT is there to support you, not replace your skills. Always review its output and use your expertise to make the final call.

Conclusion

Using ChatGPT for coding can feel like having a super-smart assistant who’s always ready to help out. It’s fantastic for brainstorming, writing boilerplate code, debugging, and even learning new frameworks. But like any tool, it’s not perfect. It might stumble with long or complex tasks, offer outdated suggestions, or miss the finer details of your specific project.

The key to getting the most out of ChatGPT is to treat it like a teammate—be clear about what you need, test everything thoroughly, and never stop learning yourself. It’s here to speed up the boring stuff and help you focus on the creative, challenging parts of coding. So, go ahead and let ChatGPT take some weight off your shoulders, but always keep your expertise in the driver’s seat!