axjs

Roo Code Workflow: An Advanced LLM-Powered Development Setup

This gist outlines a highly effective and cost-optimized workflow for software development using Roo Code, leveraging a multi-model approach and a custom "Think" mode for enhanced reasoning and token efficiency. This setup has been successfully used to build complex applications, such as Baccarat game simulations with betting strategy analysis.

Core Components & Model Allocation

The power of this setup lies in strategically assigning different Large Language Models (LLMs) to specialized "modes" within Roo Code, optimizing for performance, cost, and specific task requirements.

PostgreSQL is Enough

Background and Cron Jobs

Кунг-фу на клавиатуре. Искусство сочетать клавиши

Сочетания клавиш для тех, кто хочет войти в IT и не только.

Содержание

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

Install Termux, an Android terminal emulator that provides a Linux execution environment and various tools.
Update system packages in Termux:
```
$ pkg update -y
```

	Begin by enclosing all thoughts within <thinking> tags, exploring multiple angles and approaches.
	Break down the solution into clear steps within <step> tags. Start with a 20-step budget, requesting more for complex problems if needed.
	Use <count> tags after each step to show the remaining budget. Stop when reaching 0.
	Continuously adjust your reasoning based on intermediate results and reflections, adapting your strategy as you progress.
	Regularly evaluate progress using <reflection> tags. Be critical and honest about your reasoning process.
	Assign a quality score between 0.0 and 1.0 using <reward> tags after each reflection. Use this to guide your approach:

	0.8+: Continue current approach
	0.5-0.7: Consider minor adjustments
	Below 0.5: Seriously consider backtracking and trying a different approach

	#!/bin/bash

	# Takes a photo and converts to a project text artifact.
	# Just experimental for now.

	set -euo pipefail
	THISDIR="$(dirname "$0")"
	#shellcheck disable=SC1091
	source "$THISDIR/.env"

	#!/bin/bash
	BS=64M
	ROOT_DEV=/dev/mmcblk0
	BOOTFS_BACKUP=${ROOT_DEV}p3
	BOOTFS_TARGET=${ROOT_DEV}p1
	ROOTFS_BACKUP=${ROOT_DEV}p2
	ROOTFS_TARGET=${ROOT_DEV}p4

	print_yellow() {
	echo -e "\033[1;33m${1}\033[0m"

	.container
	img(src="https://s3-us-west-2.amazonaws.com/s.cdpn.io/221808/sky.jpg").background
	p.message all your dreams can come true<br>if you have the courage to pursue them
	- for (i = 1; i <= 100; i++)
	.circle-container
	.circle

	/*
	Copy this into the console of any web page that is interactive and doesn't
	do hard reloads. You will hear your DOM changes as different pitches of
	audio.

	I have found this interesting for debugging, but also fun to hear web pages
	render like UIs do in movies.
	*/

	const audioCtx = new (window.AudioContext \|\| window.webkitAudioContext)()