AI reviews are flaky - maybe correct 80% of the time - and everyone hates flakiness.
AI code reviews easily double the work in reviewing: you have to both review the original code and the AI code review. The AI code review can be 80% correct, but you never know which 80% is correct and which 20% is garbage, so you have to review all the AI's comments.
deepwiki.com is untrustworthy AI slop. A true cancer.
deepwiki.com's generated page on my project contains several glaring errors. I hate to think of the extra support burden I will have to bear because of deepwiki.com publishing wrong information.
I asked the authors of the site (Andrew Gao) to remove their page on my project, but they ignored my request.
This is really cool and innovative thinking, but anything aerodynamic does not scale linearly. It's really easy to make something light fall slowly. Baby spiders use "ballooning" -- a single thread -- to fall so slowly that they can travel far in thermal updrafts.
What's missing here is any evidence that the same cool parachutes will work on anything of significant mass, e.g. a parcel weighing 2kg or an average human weighing 80kg.
In my case, I have things like Github Personal Access Tokens stored in my password manager and then use chezmoi's templates to populate them in my dotfiles, for example:
This means that:
1. My secrets are safely stored in my password manager so I can share my dotfiles.
2. When I update the secret in my password manager it automatically gets updated in my dotfiles when I run `chezmoi apply`.
stow's approach of using symlinks is extremely limiting. For example, it means you can't have templates (for small machine-to-machine differences and secrets) or encrypted files. chezmoi does have a symlink mode, like stow, but using symlinks has multiple downsides: https://www.chezmoi.io/user-guide/frequently-asked-questions...
chezmoi was actually inspired by Puppet, not stow.
The availability of age as a Go library means that it's easy to embed age into other tools. For example chezmoi supports age encryption for your sensitive dotfiles, and you don't even have to install age on your machine to use it.
AI code reviews easily double the work in reviewing: you have to both review the original code and the AI code review. The AI code review can be 80% correct, but you never know which 80% is correct and which 20% is garbage, so you have to review all the AI's comments.