I love when articles tell me how to feel, takes all the thinking out of the equation. Now I know I should be shaking in my boots. Phew.

I’ve made apps in tons of different ways, kotlin with jetpack compose, react native, cordova, old school java activities.

Imo cross platform is the way to go, react native has been the easiest to maintain for me, I have 4 production react native apps that have been fairly successful and easy to maintain. My two biggest complaints are the difficulty of running on desktop, and the pain of upgrading react native versions. Expo sucks but it’s the best we have and does help with upgrading.

Flutter is fine, dart is not my favorite but it’s definitely worth looking into.

I looked into the tiktok platform, didn’t really speak to me tbh

Nintendo continues to demonstrate why my personal boycott continues. What a shitty company.

I love a good neckbeard nest for some reason, something about the complexity of the scene really captures my interest

If you can only play mario on the switch, even if it costs a lot of money, people will generally buy the switch and the game.

Implying that people really like mario and that people are generally expected to do whatever it takes to play it.

And for that reason and just the amount of care and work that the team put into it, I think it was decided that, 'Yeah, this feels like $9.99 is not an exorbitant price. It feels like a good value for what you’re getting out of the product

Man has a hard time pronouncing “greed”

Final fantasy tactics Dragon quest monsters

Just talking about the map editor if it’s an executable

I’d be cautious about running any “leaked” software directly, great way to identify the modding community if it dials home, maybe run it in a vm, behind a vpn? Unless it’s just source code in which case carry on

I’m a 10 year pro, and I’ve changed my workflows completely to include both chatgpt and copilot. I have found that for the mundane, simple, common patterns copilot’s accuracy is close to 9/10 correct, especially in my well maintained repos.

It seems like the accuracy of simple answers is directly proportional to the precision of my function and variable names.

I haven’t typed a full for loop in a year thanks to copilot, I treat it like an intent autocomplete.

Chatgpt on the other hand is remarkably useful for super well laid out questions, again with extreme precision in the terms you lay out. It has helped me in greenfield development with unique and insightful methodologies to accomplish tasks that would normally require extensive documentation searching.

Anyone who claims llms are a nothingburger is frankly wrong, with the right guidance my output has increased dramatically and my error rate has dropped slightly. I used to be able to put out about 1000 quality lines of change in a day (a poor metric, but a useful one) and my output has expanded to at least double that using the tools we have today.

Are LLMs miraculous? No, but they are incredibly powerful tools in the right hands.

Don’t throw out the baby with the bathwater.