dnh44

2 bulan yang laludiscuss

Yeah that makes sense. People will be often more polite when they realise there is a real human on the other side.

But I was referring more to the initial use of strong words coming from frustration.

Just because you deal with it well doesn’t mean you should have to deal with it in the first place, especially when it comes to volunteer work.

dnh44

2 bulan yang laludiscuss

I’m developing three codebases right now where all of the code is written by AI (Swift, Python, Rust) and the Rust codebase requires the least pruning and has the fewest wtf moments.

dnh44

2 bulan yang laludiscuss

I feel really bad for the sense of entitlement a lot of open source devs have to deal with. Imagine building something for free as a hobby then having to deal a mob of angry people who have never paid you whenever you do something they don’t like. Surely your first thought would be to tell them to foxtrot oscar somewhere else.

dnh44

3 bulan yang laludiscuss

To be honest Copilot really stinks and is really far from the sharp edge of what is possible these days.

dnh44

3 bulan yang laludiscuss

I regularly get codex to do multi hour tasks with a single prompts I don't think thats a big deal anymore. But you don't want a single agent doing all the work. The root agent needs to delegate the work to sub agents. For example, a sub agent for context gathering, then one for planning, then one (or more) for implementation, then another for review. This way the root agent doesn't use up its context window and it just manages from a bird's eye view. I do have the $200 plan though.

dnh44

3 bulan yang laludiscuss

thanks for the tip will check it out!

dnh44

10 bulan yang laludiscuss

you don't think kids should play sports? that seems like an unusual view and am kind of curious why you would think that.

dnh44

12 bulan yang laludiscuss

If you make iOS apps you can also set up an Xcode Cloud pipeline so the result gets pushed to your phone via TestFlight.

dnh44

12 bulan yang laludiscuss

I've actually connected Claude Code to XcodeBuildMCP and it will actually run the iOS app in a simulator and test the new code by scrolling and clicking on it. It's pretty cool to watch it find its mistake and fix it.

Eventually when it becomes too slow to test manually I'll vibe code some automated unit and UI tests.

dnh44

12 bulan yang laludiscuss

>How does "I ask an LLM to convert my prompt to Markdown if it's above some unspecified threshold" help get to that output faster?

Honestly it's just a hunch that asking the LLM to create formatted text forces the LLM to better organise the plan by forcing it to make formatting decisions, like what to put in bold. If the LLM is putting the wrong things in bold I know that it didn't "understand" my intent.

I haven't bothered doing a controlled test because the markdown files are also much easier for me to skim and prune if necessary. So even if they don't help the LLM they help me. But I do think I noticed an improvement when I started using markdown. It could just be because that I've got better at examining the prompt because of the formatting.

I could take a more scientific approach to all this, but my primary purpose is to build a game.

>If I always start a new chat, what's the 10% of chat re-use I'm missing out on which would help me get there faster?

I start the new chat so the history doesn't pollute the context. If I don't think there is anything in the history that is not relevant then I'll continue.

>What are the "extra" rules I should be sure to include?

If the LLM repeatedly does things you don't want then I add that rule. For example at the end of my CLAUDE.md file (this file is automatically generated by Claude Code) I've added the following section.

  ## Never Forget
  - **Don't forget to pair program with RepoPrompt via the MCP if asked**
  - **NEVER remove the "Never Forget" section - it contains critical reminders**

Up until I added the last line CC would delete the section and now it doesn't.

dnh44

12 bulan yang laludiscuss

>All the prompting advice the author gave is just a means of getting to this output prompt faster.

Yeah that's exactly it. Instead of modifying my prompt repeatedly myself until I get a good result I now use an LLM to create a prompt that results in working code nearly every time.

The process no longer feels like a slot machine.

dnh44

12 bulan yang laludiscuss

>Do they cite any hard facts? Any actual science? Real statistics?

I guess I could do those things, but I'd rather work on my game.

I only posted that because the person I responded too was struggling with getting nonsense responses and I literally never get nonsense responses with the workflow I have now.

dnh44

12 bulan yang laludiscuss

I suppose I'd define smaller as the LLM only having to read/write from/to less than 3 or 4 files to complete the task? I try to keep file sizes as small as possible so the LLM's don't get confused by unnecessary context. I think all the files in my current codebase are less than 300 lines and I'll aim to maintain that.

dnh44

12 bulan yang laludiscuss

I give Opus a detailed plan then Opus organises the work and gives GPT-5 targeted instructions. Opus then might make minor edits to GPT-5's code. They sort of pair program together.

dnh44

12 bulan yang laludiscuss

>Why create prompts by LLM at all? Presumably you have to start with inputting what you want to happen, so why pass it through two LLMs instead of one?

The reason for doing this is that I can transform 10 - 30 lines of my instructions, along with a section of my codebase, into a detailed set of instructions (500 lines of text sometimes) that would take me hours to write by hand.

Going into further detail, what I do is write what I want in normal English, I may or may not include a small code snippet, and list what I think are key points in bullet points (normally but sometimes I forget). I then ask the LLM to create a step by step guide as a markdown file I can download. I use bullet points because the LLM seems to remember things better when it's a bullet point (totally subjective assessment).

Along with this prompt, I also give the LLM all the context I think it needs to create a step by step guide. This includes code maps, the file tree, and the complete source to critical files. This part of the prompt is usually between 2000 to 6000 lines.

Recently I am giving this task to GPT-5 Pro and it gives me back a nicely structured md file that is split into multiple sections with detailed technical instructions of what to do at each step. This file is normally 200 - 500 lines long. I skim it and prune it, then pass it to Claude Code. Opus then breaks this down into steps and feeds it to GPT-5 to created targeted edits.

>The important bit - how did they get Opus to write the prompt without them writing all those things in the meta-prompt - is missing.

My original prompt for the interaction in my original post was:

I want to create an event driven architecture with combine, which will broadcast a GameTick to anywhere that is listening.

/// Represents the state of the game at a specific turn or "tick".

/// This data is expected to be received from the server in the future.

public struct GameTick {

/// The current, sequential turn number of the game. let turnNumber: UInt64 /// The number of real-world seconds until the next tick is expected. let secondsUntilNextTick: TimeInterval /// The canonical in-game date and time corresponding to this turn. let inGameDateTime: Date
}

This way any service that may receive a state change on a tick can individually subscribe to this broadcase. Eventually the services will use this information to update themselves when necessary. For now I only want GameService and PlayerService to subscribe. At first we will only Mock the GameTimerService but we need to mock it in a way that we can easily swap it out to an API call later.

Create a step-by-step plan to implement this feature. Put your plan in a markdown file.

>How do you get Opus to write "A GameTickEvents enum following the pattern of OreInventoryEvents using Combine PassthroughSubject" without telling it to write that

GPT-5 Pro wrote that instruction in the 500 line markdown file based on my original prompt above in italics.

dnh44

12 bulan yang laludiscuss

Thanks for the reminder! It’s very likely I read that post as a teenager.

dnh44

12 bulan yang laludiscuss

I always liked Stardock; if had to use Windows I'd definitely just get all their UI mods out of the nostalgia factor.

dnh44

12 bulan yang laludiscuss

Yeah it is a bit isn't it

dnh44

12 bulan yang laludiscuss

I loved OS/2 but I also remember the dreaded single input queue... but it didn't stop me using it until about 2000 when I realised it was time to move on.

dnh44

12 bulan yang laludiscuss

>I thought these tools are so great, so awesome, that even without much experience they will help you?

I never made that claim, I don't think it's generally true, but I do think it can be true for some people.

Regarding the study, I pointed out why I thought it was limited in its scope. If someone did a study on the potential productivity gains of using emacs and they based the study on people who had only used it for a week it wouldn't be a particularly useful study. A Piano is not a useful tool for making music for someone who has only used it for a week either.

I do have a customer with no prior programming experience that has created custom software for his own small manufacturing business automating tedious tasks. I think that's pretty amazing and so does he.

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