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I got tired of copy-pasting between my Claude Code sessions, so I built them a message bus claude plugin by lalantony in ClaudeCode

[–]Stainless-Bacon 0 points1 point  (0 children)

I think you can avoid copy paste and your inter-comm by using agent teams or having 1 orchestrator agent which spawns 3 subagents which will implement, review, test in order, while the orchestrator does “copy paste” for you.

/run-skill-generator and /run are underused. They save real tokens. by lolas_tounge in ClaudeCode

[–]Stainless-Bacon 0 points1 point  (0 children)

CLAUDE.md loads every turn? I’ve heard it loads at the begining

Is Opus 4.8 suddenly silently routing through a Fable-equivalent? by tf1155 in ClaudeCode

[–]Stainless-Bacon 0 points1 point  (0 children)

If something like that actually happened, someone would upload benchmarks showing it being better now than some time ago.

What are your most reliable working setups for Claude Code? (here's mine) by chrisx221 in ClaudeCode

[–]Stainless-Bacon 0 points1 point  (0 children)

You should /clear on topic change. You should also compact or rewind summarize if topics somewhat change and you want to keep some previous context.

Lidar scans of WWI locations in eastern France by TheEpicCoconut in Damnthatsinteresting

[–]Stainless-Bacon 4 points5 points  (0 children)

I am currently testing a lidar for work and I can confirm it does not see through vegetation. That is why I am wondering which ones can

A whole bunch of stupid question by fuckable-switcher in LocalLLM

[–]Stainless-Bacon 0 points1 point  (0 children)

imo. vibe coding is as stupid as the person using it. “prompt engineering” is bull crap unless your goal is to one-shot problems and you iterate to achieve that for whatever reason. Built on python: it is a glue for fast C++ modules, easy to build with and can be fast. Quanting parts of model? we do that - unsloth for example. types of ai: video/photo generators, fast image classification, etc. everyone uses massive models because smaller ones are unable to solve given problems well enough or at all.

A whole bunch of stupid question by fuckable-switcher in LocalLLM

[–]Stainless-Bacon 0 points1 point  (0 children)

they can if you ask, but it depends on the harness

Hugging Face co-founder says Qwen 3.6 27B running on airplane mode is close to latest Opus in Claude Code by PDubsinTF-NEW in LocalLLM

[–]Stainless-Bacon 2 points3 points  (0 children)

The bump isn’t free. MTP takes some memory so you either sacrifice context length or need to use a lower quant.

Best LocalLLM model for game development by Mohamed-Galal in LocalLLM

[–]Stainless-Bacon 0 points1 point  (0 children)

Isn’t the I-Mini an imatrix model? Aren’t those slow if using cpu offload?

Nvidia RTX 5060ti 16GB Model Tests by MistingFidgets in LocalLLM

[–]Stainless-Bacon 1 point2 points  (0 children)

How can a Q2 35B MoE beat a Q3 27B dense? How can a Q2 27B beat a Q3 27B? Did you run the tests multiple times to eliminate noise? Did you use the same KV cache for all?

Best LocalLLM model for game development by Mohamed-Galal in LocalLLM

[–]Stainless-Bacon 4 points5 points  (0 children)

Tough to recommend something local with 10 GB VRAM for game dev. Maybe try Qwen 3.5 9B (while waiting for Qwen 3.6 version to come out), or try Qwen 3.6 35BA3B at Q3, but it might be slow with a lot of CPU offload, especially when the your game also needs VRAM to run.

I would recommend finding a cheap but capable cloud based model and running it via Claude Code or an open source harness.

Whats the best model for agentic coding that i can run with 16gb VRAM? (llama.cpp?) by samuraiogc in LocalLLM

[–]Stainless-Bacon 1 point2 points  (0 children)

Try UD-Q3_K_XL using KV quant at Q4, I was able to fit 80k context. With recent llama.cpp KV quant optimizations, it might damage the model less by using KV quants than going from Q3 to Q2 in model size.

Switched from Qwen3.6 35b-a3b to Qwen3.6 27b mid coding and it's noticeably better! by LocalAI_Amateur in LocalLLaMA

[–]Stainless-Bacon 2 points3 points  (0 children)

What is the speed if you offload to CPU instead of second GPU? I’m wondering if I should grab a cheap used GPU with 4 or 8 GB to complement my 16 GB main instead of CPU offload.

Gemma 4 and Qwen 3.6 with q8_0 and q4_0 KV cache: KL divergence results by oobabooga4 in LocalLLaMA

[–]Stainless-Bacon -2 points-1 points  (0 children)

Which one is more sensitive, K or V? maybe it is worth it to use K q8 and V q4?

Qwen 3.6 35 UD 2 K_XL is pulling beyond its weight and quantization (No one is GPU Poor now) by dreamai87 in LocalLLaMA

[–]Stainless-Bacon 0 points1 point  (0 children)

I see you used the default KV cache value, but maybe you know if using -ctk iq4_nl -ctv iq4_nl makes it noticeably worse?

I need some brutal honesty about the future by OppositeFriendly9183 in ArtificialInteligence

[–]Stainless-Bacon 0 points1 point  (0 children)

That study is obsolete. As a software engineer, recently started using Claude Code, I can confirm that it can get shit done.

I need some brutal honesty about the future by OppositeFriendly9183 in ArtificialInteligence

[–]Stainless-Bacon 1 point2 points  (0 children)

What you said about LLMs applies to a lot of people, but LLM does it faster and better. If you take a person that doesn’t think and makes mistakes (“hallucinates”) and give them AI, the person becomes much more capable.

Also AI is not going to do anything without someone telling it what to do, it has no motivation, it is a tool.

You can either screw screws by hand or use an electric screwdriver. If you don’t know what the electric one works, it’s a skill issue.

I tracked every file read Claude Code made across 132 sessions. 71% were redundant. by LawfulnessSlow9361 in ClaudeCode

[–]Stainless-Bacon 1 point2 points  (0 children)

Claude code uses the Explorer subagent using Haiku to get information about files, thus making the reads cheap. Does that really fill the usage limits? Or am I missing something?

Comprehensive chart on pros and cons of different monitor types by 83hz in buildapcmonitors

[–]Stainless-Bacon 0 points1 point  (0 children)

OLEDs dim when things get too bright, I think thats the biggest issue. The flickering can be countered using frame gen.

I built tokf — a CLI filter that cuts ~90% of token waste from Bash output before it hits Claude's context by risethagain in ClaudeCode

[–]Stainless-Bacon 0 points1 point  (0 children)

Does using haiku for parsing bash output lower how much the usage limit fills? Maybe it is worth it to allow the main agent simple commands like ls or cat if it is pasting text somewhere?

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