Accelerate Coding Tasks with AI Chatbots

What you’ll get

You will learn how to use an AI chatbot to help with common coding tasks. This includes understanding code you haven’t seen before, creating first drafts of new code, and getting quick explanations for error messages. This method helps you start tasks faster and solve problems more easily, freeing you to focus on important decisions.

Tools you need

• AI Chatbot (freemium): A large language model (LLM), which is a type of AI that understands and generates human-like text. You’ll use it to chat about code, like ChatGPT, Claude, or Gemini.

Steps

1. Understand unfamiliar code Open your chosen AI Chatbot (like ChatGPT, Claude, or Gemini) in your web browser or app. Copy a small section of the code you want to understand. Paste the code into the chatbot’s message box, then type your questions above it.

   What problem is this code solving?
   What assumptions does this code make?
   What would break if I removed this?
   
   [Paste your small section of code here]

   The chatbot will give you an explanation of what the code does, what problems it solves, and any assumptions it makes. This helps you quickly understand the code without spending hours figuring it out yourself.

2. Generate first drafts of code In the same AI Chatbot, type a clear request for the type of code you need. Be specific about its purpose.

   Generate a first draft for a Python function signature that takes two numbers and returns their sum.

   The chatbot will provide a basic structure or ‘boilerplate’ code. Remember, this is a starting point, not a finished solution. You will need to review and improve it to fit your exact needs.

3. Explain errors and stack traces When you get an error message while coding, copy the full error message and any ‘stack trace’ (a list of where the error happened in your code). Also, copy the small section of your code that seems related to the error. Paste these into the AI Chatbot, along with a description of what you were trying to do.

   I encountered this error while trying to [describe what you were trying to do].
   Can you help me understand what might be causing it and suggest a direction for a fix?
   
   Error:
   [Paste the error message and stack trace here]
   
   Relevant code:
   [Paste the relevant code snippet here]

   The chatbot will explain what the error means and suggest possible reasons or directions for fixing it. This can often be much faster than searching online.

4. Validate AI outputs critically After the AI gives you code or information, always check it carefully. If the AI suggests using a specific tool, function (API), or setting, search for it in the official documentation for that tool or programming language. You will learn to spot ‘hallucinations’ (information the AI invents but presents as fact) or outdated advice. This ensures you only use correct and safe information in your projects. If you don’t understand why the AI gave a certain answer, keep checking until you do.

5. Keep context small and focused Instead of asking one big, complex question, break your request into several smaller, more specific questions. For example, instead of asking one massive question, break it into several smaller, specific prompts:

   # Instead of this single, large prompt:
   # Build me a full e-commerce backend.
   
   # Try these smaller, focused prompts one after another:
   Generate a basic user authentication schema.

   Suggest an API endpoint structure for products.

   You will get more accurate and useful answers because the AI can focus on one small problem at a time. This reduces the chance of it giving you irrelevant or incorrect information.

Original source

This workflow is based on an article titled ‘How I Actually Use AI as a Developer (And Where It Still Breaks)’ by techstratos. It was originally published on the DEV Community blog. The article shares practical ways developers use AI in their daily work, highlighting what AI is good at for speeding up tasks and where it still has limits.

Notes & variations

Any popular AI chatbot that offers a free version will work for this workflow. Good options include Google Gemini (gemini.google.com) or Claude (claude.ai). Always confirm you are using the free tier if you are concerned about costs.

A common mistake is to trust everything the AI says without checking, especially for important decisions about how your code is built (architecture) or security. AI can sometimes ‘hallucinate,’ meaning it invents information or suggests things that don’t exist, like fake tools or outdated methods. Always double-check important information against official guides or your own knowledge.

To get the best results, think of the AI as a helpful assistant: give it clear and specific instructions, provide enough background information (but not too much at once), and always review and improve its answers. The AI helps you type faster and think through problems, but your own judgment is still essential.