I actually agree with the doubt of it reducing work in general. In my experience it depends a lot on the person who is using an AI agent.
I have seen it multiple times that people were using ChatGPT or GitHub Copilot to, without thinking about it, paste some code into their application and then mindlessly removing and adding code based on the AIs responses until it finally worked.
In the end the devs didn’t know why it worked and the implementation was rather bad.
Of course it lets you generate boilerplate code and I use Copilot for this purpose all the time. But you have to pay extra attention and recognize it when the AI is NOT generating boilerplate code.
Raycast AI (now Raycast Pro). It makes using GPT more accessible and user-friendly by bringing it right to where you need it.
Also their take on AI Commands is quite useful. You can create commands with a custom prompt and the prompt will additionally contain the currently selected text.
Some example AI commands that are built in (you can of course create your own commands):
- Improve Writing
- Change Tone to Friendly / Confident / Professional / Casual
- Fix Spelling and Grammar
- Find Bugs in Code
- Explain Code Step by Step
- Explain This in Simple Terms
I have seen it multiple times that people were using ChatGPT or GitHub Copilot to, without thinking about it, paste some code into their application and then mindlessly removing and adding code based on the AIs responses until it finally worked. In the end the devs didn’t know why it worked and the implementation was rather bad.
Of course it lets you generate boilerplate code and I use Copilot for this purpose all the time. But you have to pay extra attention and recognize it when the AI is NOT generating boilerplate code.