How AI Pair Programming Is Changing My Development Workflow

I’ve been experimenting with AI coding assistants for a while now, but recently I started using GrokAI and it’s genuinely changed how I approach my daily development work. What started as curiosity has become an integral part of my workflow.

Here’s …


This content originally appeared on DEV Community and was authored by Daria Basyrova

I've been experimenting with AI coding assistants for a while now, but recently I started using GrokAI and it's genuinely changed how I approach my daily development work. What started as curiosity has become an integral part of my workflow.

Here's what's working for me:

Debugging Got Faster
Instead of scrolling through Stack Overflow for hours, I can now describe the issue I'm seeing and get multiple approaches to solve it. The other day I was dealing with a tricky async/await problem in Node.js, and the AI not only identified the issue but explained the race condition in a way that actually made sense.

Code Documentation Became Less Painful
We all hate writing documentation, but this tool helps generate clear, concise comments and README files. I feed it my messy code and get back well-structured explanations that I can refine rather than starting from scratch.

Learning New Frameworks Accelerated
When I needed to pick up FastAPI for a new project, having an AI pair programmer felt like having a senior developer looking over my shoulder. It helped me understand best practices and common patterns without the usual trial-and-error phase.

The Key Realization
The biggest lesson? These tools work best when you treat them as junior developers rather than magic code generators. You still need to:

  • Review and test everything
  • Understand what the code is doing
  • Apply your own expertise and judgment

The best results come from iterative collaboration - asking follow-up questions, refining your prompts, and combining AI suggestions with your own knowledge.

My Current Workflow:

  1. Write initial code myself
  2. Use AI to help with specific stuck points
  3. Review and refine the suggestions
  4. Test thoroughly (of course!)

The technology isn't about replacing developers - it's about augmenting our capabilities. It handles the boilerplate and repetitive tasks, freeing me to focus on architecture and complex problem-solving.

If you're curious about integrating AI into your development process, I'd recommend checking out GrokAI. Start with small, non-critical tasks and see how it fits into your workflow.


This content originally appeared on DEV Community and was authored by Daria Basyrova


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