May 21, 2026
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 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.
Discover how to turn the open‑source OpenClaw AI assistant into a fully managed, always‑on chatbot running on Cloudflare Workers. This guide walks through prerequisites, secret setup, deployment, optional R2 persistence, authentication with Cloudflare Access, and even browser automation via CDP. By the end you’ll have a production‑ready, multi‑channel AI assistant that’s secure, scalable, and free from the hassle of self‑hosting.
Discover Andrej Karpathy’s four‑principle guide to coding with Claude LLM. Learn how to think before you code, avoid over‑engineering, make surgical changes, and execute goal‑driven loops. The article explains each principle in depth, provides practical install instructions, and shows how to add the rules to your own projects for cleaner, more reliable code. Ideal for developers wanting to harness LLMs while keeping maintainability and clarity.
Whether you're building a web dashboard, automating coding workflows, or creating IDE plugins, the GitHub Copilot SDK lets you embed Copilot’s powerful agentic AI directly into your software. In this hands‑on guide we walk through the basics of installing the SDK in Python, TypeScript, Go, and .NET, show you how to launch a Copilot agent, and illustrate practical examples like generating boilerplate code, running custom tools, and managing infinite session workflows. We also cover key configuration options, security best practices, and how to interface with the underlying Copilot CLI. By the end you’ll have a ready‑to‑use prototype that can be dropped into any project to unlock AI assistance on demand.
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 smartphone into a powerful development workstation. This tutorial walks you through setting up a 24/7 laptop, installing Tailscale and Termius, enabling SSH, and using Claude Code for AI‑assisted coding—all in under five minutes. Whether you’re on a train, in a coffee shop, or traveling abroad, you’ll learn how to code on the go with minimal setup and maximum productivity. Follow these steps, troubleshoot common connection hiccups, and start coding from your phone today!
Localflare turns your local Workers development environment into a full‑stack dashboard that lets you browse D1 databases, KV namespaces, R2 buckets, Durable Objects, and queues without modifying code. This tutorial walks through installation, quick start, attach mode for custom dev workflows, and browser troubleshooting, showing how to get a visual studio‑like experience for Cloudflare Workers projects.