How does that compare to using agent mode in VS Code?
Is the main difference that the files are being edited remotely instead of on your own machine, or is there something different about the AI powering the remote agent compared to the local one?
I think it does help in some scenarios like small scripts or if you are learning something new. But often it adds an overhead. You have to check constantly wether or not to accept the suggestions.
I dont use copilot anymore (at least for now). Just chatgpt as an alternative to google/SO
Isnt Yew (https://yew.rs/) similar in regard of the react like way to update the html document?
I understood that Dioxus goes beyond and is the whole platform to run the app by including a webview,
but wouldnt make sense to have another framework like yew as dependency to manipulate a "Virtual Dom"?
Even within the same repo, it is very likely that the old version of your code will coexist with the new version during the deploy roll out. Often having different commits and deploys is a requirement.
For instance, imagine that you add a column in the database and also is using it in the backend service. You probably have add the column first and then commit and deploy the usage of the column later, because you can't easily guarantee that the new code won't be used before the column is added.
Same would apply for a new field in the API contract.
Nice.
I used to think that creating the smallest services, function, methods, etc would produce the easier software to deal with from the programmer perspective. But turns out you will end with many interfaces to keep when perhaps you just needed one
Is there any books that touch in this subject directly?