July 3, 2026
Learn how to modify Apple's network location service (gs-loc) to spoof your iOS device's location using proxy tools like Surge, Quantumult X, Loon, and Stash.
From toilets to semiconductor components, Japanese firms excel at extreme diversification. Here is the economic theory behind their unique corporate structure.
Move beyond the 'publish and pray' cycle. Learn how the Cheat on Content framework uses AI-driven retrospectives to turn your creative intuition into a measurable, evolving growth system.
Discover video-use, the open-source Claude Code skill that transforms raw footage into polished final.mp4 files. Drop your videos in a folder, chat with Claude, and get professional edits with auto color grading, filler word removal, smooth audio fades, custom subtitles, and Manim animations. No presets needed—works for talking heads, tutorials, interviews, and more. Learn how this smart agent reads transcripts and visual composites to deliver production-ready videos without ever 'watching' the footage.
Microsoft's RustTraining GitHub repo offers 7 comprehensive books tailored for C/C++, C#, Python developers transitioning to Rust, plus deep dives into async, patterns, type-driven correctness, and engineering practices. With 15-16 chapters per book featuring Mermaid diagrams, editable playgrounds, exercises, and full-text search, this is the ultimate structured Rust learning path from beginner bridges to expert techniques. Clone and serve locally for offline access with instant search.
Discover how DroidClaw turns a spare Android device into a fully‑functioning AI assistant. From installing the lightweight Bun runtime to configuring GPT or Ollama models, this guide walks you through interactive goals, automated workflows, and even remote control via Tailscale. Learn to automate YouTube searches, WhatsApp messages, and much more with minimal setup. Perfect for hobbyists, developers, and anyone looking to repurpose old phones with the power of large language models.
Discover how PicoLM turns a $10 Raspberry Pi or LicheeRV board into a powerful local LLM host. This tutorial walks you through downloading the TinyLlama 1.1B model, compiling the C‑only engine, configuring PicoClaw for offline chat, and benchmarking performance on cheap hardware. Learn about zero‑dependency design, flash attention, and JSON grammar constraints that let you generate structured output on a tiny device. Great for developers wanting a cost‑effective, privacy‑preserving LLM on edge hardware.
Discover how to turn your machine into a private AI companion with OpenClaw Installer. This guide walks you through the one‑click deployment, cross‑platform support, multi‑model configuration, and channel integration (Telegram, Discord, WhatsApp, WeChat, etc.). It also covers Docker deployment, security best practices, and troubleshooting tips. By the end, you'll have a fully functional AI gateway running locally or on a dedicated server, ready to answer queries, run custom skills, and interact across popular messaging apps. Get started now and unlock the power of personalized AI on your terms!
Discover how to turn your computer into a decentralized Bitcoin mining node with P2Pool. This guide walks you through prerequisites, installation on Linux and Windows, NAT configuration, port forwarding, and even how to run P2Pool on Litecoin. Learn best practices for securing your node and maximizing mining efficiency—all in one practical tutorial.
Discover how to turn a lightweight 4,000‑line Python repo into a full‑featured personal AI assistant. The nanobot project delivers core agent capabilities, real‑time data analysis, and chat‑app integration (Telegram/WhatsApp) with a single config file. Learn the architecture, rapid installation via pip or Docker, plug in local models, schedule tasks, and extend the skill set. Ideal for researchers, developers, and hobbyists who want a minimal yet powerful AI companion that runs on modest hardware.
If you want to build AI software more quickly and reliably, learn how Geoff Huntley’s Ralph Wiggum technique turns a single LLM into an autonomous developer. This guide walks you through the three‑phase workflow, shows the two prompt templates for planning and building, and hands you a ready‑to‑run bash loop that automatically commits and pushes each iteration. You’ll see how to structure specs, generate a smart implementation plan, and use backpressure with tests. By the end you’ll be able to set up the repo, run the loop on any project, and trust the LLM to steer itself toward the final product while keeping your codebase clean and version‑controlled.
Discover how to turn your repository into a smart, AI‑powered teammate with Claude Code. This tutorial walks through creating the .claude folder, configuring hooks and agents, setting up MCP servers for JIRA and GitHub, enabling LSP for real‑time code insight, and wiring GitHub Actions for automated quality checks and scheduled maintenance. With code snippets, directory layouts, and best‑practice tips, you’ll learn how to build reusable skills, slash commands, and automated review workflows. Ready to boost productivity and enforce consistency across your codebase? Read on for the complete, hands‑on guide.