Video Preview (Imgur): https://imgur.com/a/6qu8hnO

Play The Legend of Zelda: Ocarina of Time on the Switch 2 emulator Lichii (or Fritchii) at good frames without loosing on visual quality, with an auto installer/updater of shader files.

• Download latest build (currently 117) of Lichii.
  • https://github.com/zortos293/Lichii/releases/latest
  • Check if your CPU is PGO compatbile, if it is, take the version finishing with pgo (for Windows).
    • Intel Processors: Requires CPUs supporting LBR (Last Branch Record) and Performance Monitoring Units (PMU). This is available on most Intel Core (Haswell/4th gen and newer) and Xeon processors.
    • AMD Processors: Requires CPUs supporting BRS (Branch Record Sampling) or Core PMCs, available on AMD Zen 3 and newer architectures.

Run two Claude Code accounts simultaneously on macOS without re-authenticating by using separate configuration directories.

1. Create Separate Config Directories

   mkdir ~/.claude-account1
   mkdir ~/.claude-account2

The Interpreted Context Methodology (ICM) is a folder-based architecture for managing AI agent context. Instead of loading an entire codebase or writing monolithic prompt files, ICM organizes agent work into workspaces and stages — each with explicit declarations of what to load, what to skip, and exactly what the agent should do.

The core insight: AI agents perform better when they receive narrow, relevant context rather than broad, general context. ICM makes this narrowing systematic and repeatable.

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

This guide provides a workaround for macOS battery drain issues during sleep by automatically disabling Bluetooth and WiFi when the system sleeps and re-enabling them on wake.

macOS currently has issues with battery draining during sleep when Bluetooth and WiFi remain active.

Use sleepwatcher to run scripts that:

• Disable Bluetooth and WiFi when the system goes to sleep

This is the paste-ready prompt referenced in the posts. It builds the same guard I run: a persistent, cross-repo, cross-session review-budget ledger that every agent checks before touching CodeRabbit.

Works with Claude Code out of the box. Any coding agent that can read docs, write a script, and edit its own instructions file will do.

An unofficial workaround until CD PROJEKT RED or Valve fix this properly. As soon as the 5.0 executable sees Wine, it turns off Streamline (DLSS SR/RR, DLSS-G, Reflex), ray tracing, path tracing and FSR frame generation. Everything here brings them back.

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