

Do you mean lack of quality native applications?


Depending on the language exceptions are used in many different ways. Some use it liberally for all kinds of error handling.
A good feature of Exceptions is you can throw them all the way up the stack and handle them there, giving you loose coupling between the code that calls the dangerous code and the one that catches it.
Exceptions have a big runtime overhead, so using them for normal control flow and error handling can be a bit meh.
Using return types can be great, if the language has good support for. For example swift enums are nice for this.
enum ResultError {
case noAnswer;
case couldNotAsk;
case timeOut
}
enum Result {
case answer: String;
case error: ResultError
}
func ask(){
let myResult = askQuestion(“Are return types useful?”);
switch myResult {
case answer:
print(answer);
case error:
handleError(error);
}
}
func handleError(error: ResultError) {
switch ResultError {
case noAnswer:
print(“Received no answer”);
case couldNot:
…
}
}
Using enums and switch means the compiler ensures you handle all errors in a place you expect.


A friend has had good results using AIDD as an agent framework. It’s basically a built in project/product/scrum master that creates tickets and with that constraints.
Have you tried something like this?


Snakes like that are always print in place.


For LLM generated code, it can also take a whole to read and understand. When I write code myself, I understand the intention, architecture, and so on. Machine written code is very different. I need to understand how it works. There’s often extraneous stuff in there or weird patterns.


Write a program that reads or writes a simple binary file format. I recommend midi, TIFF, BMP.
For example write a generator for fractal images.


Learn to feel emotions in your body and allow them to pass through you.


Making something that goes boom is easy. Making something that can contain a boom and channel the boom into only one direction is difficult. Quality metallurgy and precision metal work is actually difficult. Making a tube and a projectile that fit each other nicely is very hard to do at scale.


Complexity is inherent an unavoidable.


Dont make ADHD part of your identity, it’s unhealthy.


I managed to make myself a nice breakfast. As a reward I took a moderate amount of LSD and am about to indulge in some weed.


And decide what game to play.


The key is to not do hobbies alone.


It’s simple, not easy.


Gardening can cost zero money.
Pot: an empty can, joghurt package, cut off plastic bottle
Dirt: go outside and scoop some up, people who make their own compost often give some away
Seeds: fruit and vegetables from the supermarket often include free seeds (e. g. bell peppers)
People also give away plants and cuttings all the time.
You will need a spot that gets some sunlight though.


It’s not a super easy thing. It’s a simple but very difficult thing.
Trying harder doesn’t work with ADHD.
Excel (all spreadsheet applications) are an integrated environment for non linear functional programming with flexible data structures, where you can see all memory and data at the same time. It’s a marvel.