baruch

I find it useful to see such a project. It's an interesting view of the system and a neat idea, I don't care if it's just a couple of ai prompts and will be abandoned next week or maintained for life, the idea itself is good to learn from and maybe used as a start for other useful tools for my work.

Thanks for sharing this.

It is possible to get more tokens out of the same hardware by leveraging fast storage for KVCache, it is especially useful for agentic workloads.

If they started doing caching properly and using proper sunrooms for that they'd have a better chance with that

You can ask an LLM to create a github action for that. The action can fail if the rebase fails and you can either fix it yourself or ask an LLM to do it for you.

Isn't that handled pretty well these days with sub agents? They can research the code without polluting the context.

There is a global setting you can do to disable using the Claude.ai MCPs from being used on your Claude code.

The complaints are against the open-weight LLMs, I didn't try them much. I do use mostly Claude as that's what the company is paying for. They don't pay for laptops with GPUs or locally hosted LLMs to test those.

It's not like it knows perfect D, it does make mistakes and I don't work on a C++ or Rust project to compare its behavior. Generating templates from scratch is a bit of a challenge but given we have plenty of examples in our code with some prodding it manages to write well enough.

I work with D and LLMs do very well with it. I don't know if it could be better but it does D well enough. The problem is only working on a complex system that cannot all be held in context at once.

Is it possible to put such a driver for nvme under igb_uio or another uio interface? I have an app that uses raw nvme devices and being able to tests strange edge cases would be a real boon!

Ages ago, working on an embedded system we did something similar by running gdb server on the embedded machine and gdb on the server and running a script to collect periodic stack traces to get a sampling profiler.

The company still got $20B of cash(?) in its books, it can pay dividends to its shareholders (investors) and they get their payment. The company can go down the drain afterwards. If it can still make money with its remaining assets that's only a nice small bonus.

So the only ones getting shafted are the employees.

We do storage systems and use DPDK in the application, when the network IS the bottleneck it is worth it. Saturating two or three 400gbps NICs is possible with DPDK and the right architecture that makes the network be the bottleneck.

Once there will be a business around this and people will make money the businesses will maintain a lobby to keep doing it and even increase the operation.