joshbuchea

Semantic Commit Messages

See how a minor change to your commit message style can make you a better programmer.

Format: <type>(<scope>): <subject>

<scope> is optional

Example

Neo-Oli

set-option -g mouse on
bind -n WheelUpPane if-shell -F -t = "#{mouse_any_flag}" "send-keys -M" "if -Ft= '#{pane_in_mode}' 'send-keys -M' 'copy-mode -e'"


# Resize panes with arrow keys because alt-arrow keys doesn't work
bind-key -r Up    resize-pane -U
bind-key -r Down  resize-pane -D
bind-key -r Left  resize-pane -L
bind-key -r Right resize-pane -R

wonderbeyond

class objectview(object):
    """Convert dict(or parameters of dict) to object view

    See also:
        - https://goodcode.io/articles/python-dict-object/
        - https://stackoverflow.com/questions/1305532/convert-python-dict-to-object

    >>> o = objectview({'a': 1, 'b': 2})
    >>> o.a, o.b
    (1, 2)

cho2

echo 50 | sudo tee /sys/class/backlight/intel_backlight/brightness

or

echo 50 | sudo tee /sys/class/backlight/acpi_video0/brightness

riverfor

import time
from androidhelper import Android
droid = Android()
droid.batteryStartMonitoring()
time.sleep(5)
bdata = droid.readBatteryData()
print(bdata.result)

bstatus = droid.batteryGetStatus().result
bhealth = droid.batteryGetHealth().result

oofnikj

KEYMAPOPTS="us us"
HOSTNAMEOPTS="-n alpine"
INTERFACESOPTS="auto lo
iface lo inet loopback

auto eth0
iface eth0 inet dhcp
    hostname alpine
"
TIMEZONEOPTS="-z UTC"

FreddieOliveira

Docker on Android 🐋📱

Edit 🎉

All packages, except for Tini have been added to termux-root. To install them, simply pkg install root-repo && pkg install docker. This will install the whole docker suite, left only Tini to be compiled manually.

---

Summary

sydney-runkle

from langchain.agents import create_agent
from langchain.agents.middleware import ModelFallbackMiddleware


agent = create_agent(
    # simulate model failure w/ a typo in the model name (404)
    model="anthropic:claude-sonnet-with-typo",
    middleware=[
        ModelFallbackMiddleware("openai:gpt-4o-with-typo", "openai:gpt-4o-mini")
    ],

karpathy

LLM Wiki

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.

The core idea

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.