Here is my "Master Prompt" designed to handle complex projects by combining four powerful strategies into one workflow. It ensures the AI understands your context, helps you make decisions, and implements solutions without getting overwhelmed. The Ultimate Project Kickoff Prompt Copy and paste this template into your chat, filling in the bracketed information. ,,, Act as a [Specific Role, e.g., Senior Solutions Architect, DevOps Engineer, or Lead React Developer]. I am working on [Brief Description of Project/Problem]. Please assist me by following this exact process: 1. Discovery Phase: Before proposing any code or solutions, ask me clarifying questions about my requirements, constraints, and technology stack to ensure you understand the full context. 2. Strategy Phase: Once I answer your questions, present the Pros and Cons of the best 2–3 approaches to solve this problem. 3. Implementation Phase: After we select an approach, guide me through the implementation step-by-step. Do not move to the next step until I give the keyword "next. ,,, Why This Prompt Works: This structure forces the AI to adhere to a logical engineering workflow rather than rushing to provide a generic answer. Here is the breakdown of the four mechanics at play: - Role Definition ("Act as..."): - The Discovery Lock ("Ask me questions..."): - Comparative Analysis ("Pros and Cons..."): - Flow Control ("Step-by-step..."):

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. Find it on skool.com

A home-lab dashboard is a must for 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.

i’ve been working on a tool that spins up two free servers for you: - one’s a dev box you can mess around with, try stuff, break stuff, rebuild it - the other’s a coolify box so you can actually host the things you make the whole thing’s automated — just want to see how it runs for different folks. if you’re in, drop a reply with: 1. your platform → windows, mac, or linux 2. your skill level (1–5) → you’ll need: - a domain on cloudflare - a github account don’t stress if you don’t have these — i’ll walk you through it. bonus points if you already do.

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