For example, using an LLM to help you write a Dockerfile when you write Dockerfiles once a project and don't have a dedicated expert like a Deployment Engineer in your company is fantastic.
Or using an LLM to get answers faster than google for syntax errors and other minor issues is nice.
Even using LLM with careful prompting to discuss architecture tradeoffs and get its analysis (but make the final decision yourself) can be helpful.
Generally, you want to be very careful about how you constrain the LLM through prompts to ensure you keep it on a very narrow path so that it doesn't do something stupid (as LLMs are prone to do), you also often have to iterate because LLMs will occasionally do things like hallucinate APIs that don't actually exist. But even with iteration it can often make you faster.