Camera Coach, like the name suggests, uses AI to analyze the scene you're about to capture, and offers tips on how to best compose and light the shot. It will also suggest the best camera mode for the job. While I can see how this tool could be useful, I found the fact it relies on a cloud model made it too slow for some situations. For example, when I used Camera Coach to help me snap a photo of my cat, a sassy tortoiseshell, she walked away by the time the 10a got a response from Google's servers. In more static scenes, Camera Coach is more useful, but much of photography is about capturing a fleeting moment in time, so its utility is limited.
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Some programming languages, like Rust and Zig, classify many errors as expected. Others, like JavaScript and Python, classify them as unexpected. For example, when you parse JSON in Go, the compiler makes you handle the error; not so in Ruby. I tend to prefer stricter compilers for production software and looser languages for scripts and prototypes, in part because of their philosophy about errors. (The Rustaceans among you probably notice that this whole post is very similar to Rust’s error philosophy.)