Optimizing the dev workflow with LLMs
I'm extremely bullish on being more productive with LLMs such as ChatGPT and GitHub Copilot. I've started producing more output in a meaningful manner with these tools.
- Helps to find answers directly without navigating links. However as a developer you can't blindly trust LLMs. This is where you come in as a the human interpreter of the results.
- Unit tests.
- Regex (HUGE!)
- Optimizing functions
- Boilerplate code
- Straighforward function logic suggestions (I guess this is part of boilerplate code?)
- Drafting complex functions