This tutorial shows how to use Aider's /run
command to work with GitHub issues using the GitHub CLI.
- GitHub CLI (
gh
) installed and authenticated - Aider installed
- A GitHub repository with issues
{ | |
"openrouter/openai/gpt-4.1": { | |
"max_input_tokens": 1014808, | |
"max_output_tokens": 32768, | |
"input_cost_per_token": 0.000002, | |
"output_cost_per_token": 0.000008, | |
"input_cost_per_token_batches": 0.000001, | |
"output_cost_per_token_batches": 0.000004, | |
"cache_read_input_token_cost": 0.0000005, | |
"litellm_provider": "openai", |
package main | |
import ( | |
"bytes" | |
"encoding/json" | |
"flag" | |
"fmt" | |
"io" | |
"io/ioutil" | |
"log" |
MLX is an array framework for machine learning on Apple silicon, designed by Apple machine learning research. It offers high performance, familiar APIs, and seamless integration with Apple's ecosystem.
version: '3' | |
vars: | |
DEFAULT_MODEL: mistralai/Mistral-7B-Instruct-v0.3 | |
DEFAULT_QUANT_MODEL: mlx-community/Llama-3.2-3B-Instruct-4bit | |
OUTPUT_DIR: ./outputs | |
DATA_DIR: ./data | |
ADAPTERS_DIR: ./adapters | |
MAX_TOKENS: 500 | |
TEMP: 0.7 |
Task (also known as go-task) is a task runner and build tool written in Go. Its primary goal is to be simpler and easier to use than alternatives like GNU Make. It uses YAML files (typically Taskfile.yml
or Taskfile.yaml
) to define tasks, making it more readable and modern compared to Makefile syntax. Being a single binary written in Go, it has no runtime dependencies (other than the binary itself) and is cross-platform (Linux, macOS, Windows).
Taskfile.yml
or Taskfile.yaml
in the current directory) that defines the configuration and tasks.tasks:
key.I'll create a condensed guide specifically for M2 Mac users based on the information provided. credit: https://www.reddit.com/r/ClaudeAI/comments/1ji8ruv/my_claude_workflow_guide_advanced_setup_with_mcp/
10,000 years is a very short time on an evolutionary timescale. Significant morphological (physical form) changes usually take much longer. However, even in this short period, we can see evidence of evolutionary changes, particularly in humans and in species strongly influenced by human activity. Crucially, a lot of what looks like rapid evolution in this timeframe is actually adaptation within existing genetic variation or changes driven by artificial selection (selective breeding by humans).
Here's a breakdown of evolutionary changes (and related phenomena) over the past 10,000 years:
1. Human Evolution: