A cache miss in `Claude Code` costs 12.5x more than a hit—here are the common triggers

// related

• #0001

  #0001Agents & toolsr/ClaudeAI3 days ago

  AI agent tool `Get Shit Done` (GSD) abandoned after creator's rug-pull scam; immediate migration required

  100radar

  Get Shit DoneAI-powered CLI automation agent — runs with local shell access

  The creator retains NPM publish rights, posing a critical security risk through malicious updates. Immediately uninstall old packages and migrate to the community fork get-shit-done-redux.

  • —The creator executed a "rug pull" with the associated $GSD crypto token and vanished. Do not trust any repos from this developer.
  • —The original NPM packages (get-shit-done-cc, @gsd-build/sdk) could receive a malicious update at any time, a high-risk vector given the tool's shell access.
  • —The community has forked the project to open-gsd/get-shit-done-redux after a security audit. Uninstall the old packages and reinstall using the new one.

  Source: www.reddit.com/r/ClaudeAI/comments/1tktl4w/if_you_use_thRead original →
• #0002

  #0002Agents & toolsr/LocalLLaMA3 days ago

  BeeLlama v0.2.0 boosts inference speed by up to 4.9x on an RTX 3090

  40radar

  BeeLlamaLocal LLM engine — accelerates token generation via DFlash

  An inference engine that achieves up to a 4.9x token speedup over llama.cpp via DFlash. It makes high-throughput local LLMs more viable on consumer GPUs like the RTX 3090.

  • —Achieves 164 tokens/sec with Qwen 3.6 27B on a single RTX 3090, a 4.4x speedup compared to llama.cpp's 37.2 tps.
  • —DFlash, a form of speculative decoding, accelerates inference using a smaller draft model. While prompt processing speed is similar, token generation is significantly faster.
  • —The update adds full support for Gemma 4 31B and is compatible with the GGUF format, easing integration with the existing local LLM ecosystem.
  • —This makes fast prototyping or running small-scale services on owned hardware more feasible, especially for tasks involving long text generation, without cloud API costs.

  Source: www.reddit.com/r/LocalLLaMA/comments/1tkpz2y/beellama_v0Read original →
• #0003

  #0003Agents & toolsGeekNews3 days ago

  Python 3.15's Hidden Gems: `asyncio.TaskGroup` Cancellation and More

  50radar

  Python 3.15 will make cancelling asyncio task groups cleaner, removing the need for custom exceptions. This means less boilerplate for handling async task failures, a nice quality-of-life win for future backend code.

  • —The asyncio.TaskGroup.cancel() method is being updated to work without custom exceptions, making async error handling more intuitive.
  • —This is one of the 'small but useful' changes overshadowed by headline features like the Tachyon profiler, focusing on developer ergonomics.
  • —For those using async Python frameworks like FastAPI or tools like LangChain, this reduces common boilerplate, improving the overall developer experience.

  Source: news.hada.io/topic?id=29767Read original →