How I Use AI Tools to 10x My Coding Speed
My honest thoughts on integrating GitHub Copilot and ChatGPT into my daily workflow, and how it shifted my focus from syntax to architecture.
The starting point
I remember the skepticism I had when AI coding assistants first hit the mainstream. I thought, 'There's no way a machine can understand the complex business logic I need to write.' Fast forward to today, and I honestly can't imagine working without GitHub Copilot and conversational LLMs by my side.
What I learned
My workflow has drastically changed. Instead of spending 20 minutes digging through StackOverflow or wrestling with regex, I describe my intent and let the AI draft the boilerplate. This hasn't made me lazy; rather, it has elevated my role from a 'code typist' to a system architect. I now spend the majority of my time thinking about edge cases, app security, and optimal database schemas. The AI handles the mundane syntax. However, I've learned the hard way that you must always review the generated code critically. AI is an incredibly powerful co-pilot, but at the end of the day, I'm the one flying the plane.