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Currently aider is distributed via pip. While this is very convenient for developers, it can be problematic for users:
It requires users to have a proper version of python installed. Issue Python 3.13 support #1984 shows that this threat is real. Moreover, handling multiple versions of python for compatibilty with aider is not straightforward, especially for users without serious python expertise
This approach assumes that the user is familiar with python and it's packaging. While python is indeed a popular language, there are many software devs who use other platforms and have no experience with python. This is especially true for juniors/newbies who don't understand their own stack, let alone Python. Personally I (a c# dev) remember that when I tried first time to install some software from pip, it caused me to learn ubuntu packaging, virtual environments and finally I gave up on this idea.
So to make aider more user friendly we can package it with all required python versions and dependencies.
Currently I see two approaches, a simple and a complex one:
pre-download all dynamic dependencies into a final package
pros: simple build, minimal changes in existing code, usage of native formats like deb/exe/dmg
cons: bigger package size
package aider with isolated container-like runtime
pros: allows to download extensions dynamically and even auto update aider within same container
cons: AFAIK no cross-platform solution, more complex packaging process is needed
Your thoughts?
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I'm labeling this issue as stale because it has been open for 2 weeks with no activity. If there are no additional comments, I will close it in 7 days.
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I'm closing this issue because it has been stalled for 3 weeks with no activity. Feel free to add a comment here and we can re-open it. Or feel free to file a new issue at any time.
Note: A bot script made these updates to the issue.
Issue
Currently aider is distributed via pip. While this is very convenient for developers, it can be problematic for users:
So to make aider more user friendly we can package it with all required python versions and dependencies.
Currently I see two approaches, a simple and a complex one:
Your thoughts?
The text was updated successfully, but these errors were encountered: