I’ve been a developer for 25 years and I both love and hate what AI is doing to our industry.
I use these tools in projects where there is no sensitive information, outside of my own code, with a full understanding that I may well be sharing my IP with unwanted processes. I do what I can to mitigate this, but I’m sure it’s not enough.
For performance I think Claude or ChatGpt are the best, but it varies depending on your use case. Best way to find out is to subscribe to a service that offers you the choice to alternate between them, to figure out which works best for you.
The company where I’m currently employed lets us use Github Copilot, even though this is a horrible idea in context of the sensitive information they deal with, and the small edge this gives their developers.
I use AI to search for information a lot of the time, and when I’m satisfied with my results I usually cross reference them against other sources. AI is great at putting you on the right track, but still not good enough to give you exactly what you needed most of the time.
As for workflow. I usually create a mental model, covering all the code I want in the way I want it. Sort of like making a map. Then I ask the coding agent to write it piece by piece, not all at once. If there is too much to do, it gets confused and the code becomes a mess.
After it completes each piece, I review it, fix potential problems and then move on to the next piece.
I use these tools in projects where there is no sensitive information, outside of my own code, with a full understanding that I may well be sharing my IP with unwanted processes. I do what I can to mitigate this, but I’m sure it’s not enough.
For performance I think Claude or ChatGpt are the best, but it varies depending on your use case. Best way to find out is to subscribe to a service that offers you the choice to alternate between them, to figure out which works best for you.
The company where I’m currently employed lets us use Github Copilot, even though this is a horrible idea in context of the sensitive information they deal with, and the small edge this gives their developers.
I use AI to search for information a lot of the time, and when I’m satisfied with my results I usually cross reference them against other sources. AI is great at putting you on the right track, but still not good enough to give you exactly what you needed most of the time.
As for workflow. I usually create a mental model, covering all the code I want in the way I want it. Sort of like making a map. Then I ask the coding agent to write it piece by piece, not all at once. If there is too much to do, it gets confused and the code becomes a mess.
After it completes each piece, I review it, fix potential problems and then move on to the next piece.