How people are using LLM's with D

[Richard Andrew Cattermole (Rikki)]

I'm going to split this off into its own thread, so anyone who 
has any tips or approaches can teach:

On 11/02/2026 6:38 AM, matheus wrote:
> On Tuesday, 10 February 2026 at 16:14:03 UTC, Vladimir 
> Panteleev wrote:
> 
>     On Monday, 9 February 2026 at 21:25:02 UTC, user1234 wrote:
> 
>         One tendency I have noticed recently in the D world is 
> one guy
>         that is very good with AI. Cybershadow. Already 5 or 6 
> PR, he
>         masters the tools.
> 
>     I guess I could post a few thoughts about AI / LLMs here if 
> people
>     are interested...
> 
> Interesting, since I'm not using AI I'd like to know, in this 
> case you have LLM locally and you point to D source folder and 
> It learns from that database and do everything from there?
> 
> I think this would be a nice topic/video to be made so to 
> attract people, since D suffers from content lately. And show 
> how do you're doing PR currently, maybe even guys like me who 
> will go deep to help would try it.

To start this off, I'll include Vladimir's reply, and then do 
mine as a reply.
Original: 
https://forum.dlang.org/post/htgjeqlvwzqwosecdqmz@forum.dlang.org

On 11/02/2026 6:54 AM, Vladimir Panteleev wrote:
> The main way I use LLMs is with Claude Code. Here's how it 
> works:
> 
> 1. You open the directory with your project in a terminal
> 2. You run `claude`
> 3. This opens a TUI that looks like a chat interface. You type 
> your question or request for what you want the bot to do.
> 4. The bot looks at your code. If it's too big to fit into its 
> context (a limited window of how much it can see at a time), it 
> will search just for relevant bits.
> 5. If the problem is big, it will first write a plan for how it 
> aims to accomplish its goal, for you to read and approve.
> 6. It does the thing. It can edit files and run commands in 
> order to run your test suite (or at least check that the code 
> compiles). By default it will ask before every edit or command. 
> Many people run it in a sandbox and disable the prompts, so 
> that it can work by itself but still doesn't accidentally 
> delete your entire computer.
> 7. Sometimes the bot can automatically write down what it 
> learned in a memory file. It will read this file automatically 
> the next time you ask it to do something in that project. There 
> isn't really a lot of "learning" other than something like this.
> 
> Before/aside that, I also have a spare GPU which I'm using to 
> run an autocomplete model. It's nice when writing code by hand. 
> For that I use https://github.com/CyberShadow/company-llama + 
> llama.cpp.