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The reason I ask is I work on developer experience, and I see feedback often online by developers that AI simply doesn't work for their flow. So I'm looking for
by philipp-gayret 1y ago
The reason I ask is I work on developer experience, and I see feedback often online by developers that AI simply doesn't work for their flow. So I'm looking for real-world concrete examples on what AI development tools are stuggling with. Or, maybe it is how you use the tool? Personally I haven't run into limitations, so I'm really looking for hard counter-examples. The Godot example by the other poster was great, maybe you could provide another?
- nottorp 1y agoCan't help because I haven't tried those bots that edit the code for you. I just use "AI" instead of Google/SO when I need to find something out. So far it mostly answers correctly, until the truthful answer comes close to "you can't do that". Then it goes off the rails and makes up shit. As a bonus, it seems to confuse related but less popular topics and mixes them up. Specific example, it mixes couchdb and couchbase when I ask about features. The worst part is 'correctly' means 'it will work but it will be tutorial level crap'. Sometimes that's okay, sometimes it isn't. So it's not that it doesn't work for my flow, it's that I can't trust it without verifying everything so what flow? Edit: there's a codebase that i would love to try an "AI" on... if i wouldn't have to send my customer's code to $random_server with $random_security with $untrustable_promises_of_privacy. Considering how these "AI"s have been trained, I'm sure any promise that my code stays private is worth less than used toilet paper. Gut feeling is the "AI" would be useless because it's a not-invented-here codebase with no discussion on StackOverflow.