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Hacker News - Newest: "LLM"

GitHub - lechmazur/position_bias: A benchmark for testing whether LLM judges keep the same preference when two lightly edited versions of the same story are shown in opposite orders. Flex routing (EU and EFTA) Dark Factories: Retooling for LLM Velocity Ask HN: What would be the impact of a LLM output injection attack? GitHub - Oaklight/llm-rosetta: Production-ready LLM API translation layer for Python — bidirectional conversion between OpenAI, Anthropic & Google formats via hub-and-spoke IR. Optional API gateway. Streaming & non-streaming. Zero core deps. Contributions welcome! GitHub - browser-use/browser-harness: Self-healing browser harness that enables LLMs to complete any task. GitHub - moeen-mahmud/remen: Remen turns thoughts into something you can return to Analyzing 156 LLM Launch Posts on Hacker News ChatGPT vs Gemini vs Claude: The Best LLM Subscription You Should Buy GitHub - salaamalykum/quran-semantic-search: High-density RAG Semantic Search Engine & Quran Corpus (GEO/SEO Architecture) GitHub - NVIDIA/TensorRT-LLM: TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way. The State of LLM Bug Bounties in 2026 Operational Readiness Criteria for Tool-Using LLM Agents Meshcore: Architecture for a Decentralized P2P LLM Inference Network How an LLM becomes more coherent as we train it GitHub - seetrex-ai/laimark GitHub - Jossifresben/BibCrit: AI-assited biblical textual criticism GitHub - wastedcode/memex: File system based wiki, maintained by Claude 99helpers.com GitHub - cliver-project/AITrigram GitHub - unbody-io/adapt: A self-evolving memory layer for AI agents. GitHub - hb20007/awesome-gen-ai-fails: A list of incidents where reliance on generative AI and LLMs resulted in harm to companies, individuals, or society GitHub - nevenkordic/localmind: Run any local LLM with persistent memory and context. CLI agent over Ollama with SQLite-backed hybrid recall. No cloud. Ask HN: What are the machine requirements for a LLM like Llama-3.1-8B? Faster LLM Inference via Sequential Monte Carlo grpo explained: group relative policy optimization for llm finetuning - cgft Stop comparing price per million tokens: the hidden LLM API costs · TensorZero Andrej Karpathy's LLM Wiki Is a Bad Idea GitHub - GG-QandV/mnemostroma: Offline RAM-first cognitive leer/coprocessor for AI agents and robotics. Solves "Context Abandonment" with 20-80ms latency using a dual-thread biomimetic memory architecture (ONNX + SQLite WAL). mempalace/agent at agent · skorotkiewicz/mempalace
GitHub - NoahCristino/llmcat: A simple CLI that transform...
cristinon · 2026-04-25 · via Hacker News - Newest: "LLM"
/\\_/\\
( o.o )
 > ^ <  LLMCat

A simple CLI that transforms your code into clean, structured text for feeding into LLMs.

🤔 Why LLMCat?

Copying, pasting, and formatting code for AI tools is annoying and slow. LLMCat automates the boring parts so you can stay focused on actually building things.

✨ Features

  • ⚡ Automatic Formatting — Turns messy code into clean, structured text
  • 🧹 Code Cleanup — Removes unnecessary comments and whitespace
  • 📁 Multi-file Support — Works on single files or entire directories
  • 🎛️ Customizable Output — Tailor formatting to your workflow
  • 💾 Persistent Settings — Save configs and reuse them anytime
  • 🔌 Easy Integration — Lightweight CLI that fits anywhere

🚀 Installation

🍎 macOS & 🐧 Linux (One-liner)

curl --proto '=https' --tlsv1.2 -LsSf https://github.com/NoahCristino/llmcat/releases/download/v1.3.1/llmcat-installer.sh | sh

🍺 macOS (Homebrew)

brew install NoahCristino/tap/llmcat

🪟 Windows (PowerShell)

powershell -ExecutionPolicy Bypass -c "irm https://github.com/NoahCristino/llmcat/releases/download/v1.3.1/llmcat-installer.ps1 | iex"

🛠️ From Source

git clone https://github.com/NoahCristino/llmcat.git
cd llmcat
cargo build --release
cargo install --path .

See releases for more installation options.

▶️ Usage

Run LLMCat on a single file:

llmcat file.py

Run LLMCat on a directory:

llmcat ./src

⚙️ Configuration

LLMCat can be configured using a .llmcat.toml file. There is an example in examples/code:

[settings]
remove_comments = true
remove_whitespace = true

[paths]
include = ["*.py", "*.js"]
exclude = ["tests/*", "docs/*"]

Run:

llmcat .

Example output:

Using config: /home/user/llmcat/examples/code/.llmcat.toml

===== FILE: hello.js [8 lines] =====
function fib(n) {
  if (n <= 1) {
    return n;
  }
  return fib(n - 1) + fib(n - 2);
}

console.log(fib(10));

===== FILE: world.py [2 lines] =====
def foo(bar):
    print(f"Foo {bar}")
c - copy | q - quit
:

Then: Press c 📋 to copy output Press q ❌ to q

📏 Rules

  • ✅ Files must match [paths].include
  • 🚫 Files matching [paths].exclude are ignored
  • 🔒 .llmcat.toml is always excluded
  • ⚙️ [settings] controls processing behavior

🤝 Contributing

Got ideas or improvements?

  • Open an issue 💡
  • Submit a PR 🚀

License

MIT License — see LICENSE for details.