AI-Army Code CLI is a lightweight, open-source command-line interface that lets developers tap into local large language models (LLMs) like Ollama for coding tasks. Unlike bulky CLIs, it offers a streamlined, customizable platform for building your own coding assistant with complete privacy. Version 0.9.0.0, the "Modular Revolution," makes it highly extensible. Activate it with ai-army in any terminal, even to customize itself. Why It’s Unique AI-Army avoids the bloat of feature-heavy CLIs, providing a lean foundation with familiar tools and UI. It’s perfect for developers who want to add custom features or integrate APIs without complex codebases. Its local LLM server ensures data privacy for sensitive projects. Key Features The modular architecture includes five core modules: SystemCommandsModule, MemoryModule for saving notes with # <note>, ConfigurationModule with 150+ settings, ProjectContextModule for auto-loading PROJECT.md, and FileOperationsModule. The plugin system supports secure, sandboxed extensions. Project context loads automatically, and commands like /project or /memory enhance usability. It’s server-neutral, compatible with any LLM server. Security features include permission-based plugins, auto-discovery, and sandboxing. The React/Ink UI offers a modern terminal experience. Getting Started Clone the repo, run npm install, npm run build, and npm link. Or use npx ai-army-code-cli@latest. Set up Ollama with ollama serve and configure via .env or /login. Why It Matters AI-Army’s flexibility, security, and local execution make it ideal for 2025’s privacy-conscious developers. Fork it, customize it, and contribute under the Apache 2.0 license. You can find it on skool.com

Anyone with questions about vibe coding, etc, this may be a helpful read! https://dwyer.co.za/static/claude-code-is-all-you-need.html

A home-lab dashboard is a must for n8n and vibe coders who love tinkering with tech. It centralizes control, letting you monitor servers, containers, and services from one sleek interface. Tools like Grafana or Heimdall offer real-time insights into CPU, memory, and network usage, helping you spot issues fast and keep your setup optimized. Plus, you can customize the look to match your aesthetic think retro terminal or dark-mode vibes.

OpenAI Announces Release of GPT-OSS:120B, Its Latest Open-Source LLM! We're excited to unveil GPT-OSS:120B, a powerful 120B parameter open-weight model designed for advanced reasoning, agentic tasks, and developer innovation. Available under Apache 2.0 license, it features native tool calling, configurable reasoning, and MXFP4 quantization for efficiency. Download now via Ollama: https://www.ollama.com/library/gpt-oss:120b

A custom Ubuntu Server AI ISO that could automate a full self-hosted AI infrastructure would be awesome. So I created shell scripts to create a Bootable ISO so Ubuntu Server installs with Docker, LLM hosting, vector DB, private chat UI, document ingestion/RAG, workflow hooks, and security defaults. GPU detection enables acceleration.🤔 💥Use cases: 🚀 local model hosting, private AI assistants, document Q&A, development and automation without cloud costs or data leakage. Requirements: x86_64, 16GB+ RAM, 50GB+ storage (SSD recommended), optional NVIDIA GPU. Deployment is one shot: flash USB, boot, and the stack is live with a web UI to add models and data. Benefits: speed, repeatability, data sovereignty, no subscription fees. Grab the ZIP and run your own AI server on-premises. You will have to download the 24.04.2 version of the ubuntu server iso, and place it in the same folder as the sh scripts. run manual-build.sh. after it creates your iso file run check-build-status.sh to validate the iso file. Read the readme and the how to use md files. you now have a one stop AI local server. GIVE IT A LOOK!