Florian Kromer fkromer

AGENTS.md Best Practices for AI Coding Assistants: Comprehensive Guide

AGENTS.md has emerged as the de facto open standard for guiding AI coding assistants, now adopted by over 20,000 repositories and formalized in August 2025 through collaboration between OpenAI, Google, Cursor, Factory, and Sourcegraph. This file acts as a "README for machines"—providing structured, technical context that helps AI assistants write better code from the start. For Python + AWS + Terraform projects, a well-crafted AGENTS.md dramatically reduces friction, ensuring generated code follows your conventions, uses the right tools, and adheres to security requirements.

What is AGENTS.md and why it matters

AGENTS.md is a dedicated Markdown file that complements, not replaces, README.md. While README targets human developers with project overviews and quick-start guides, AGENTS.md contains detailed technical instructions specifically for AI coding agents. Think of it as onboarding documentation for an AI team member: ex

This is work in progress

I read about the .NET Generic Host for the first time in a Tweet of David Fowler. And I was hooked by the idea, it was just what I was looking for.

I like modules making things small but fit together like pieces of a puzzle, if possible being able to reuse them. I started refactoring Greenshot over a year ago, and was making modules out of the spaghetti code that it was. Trying to extract the modules into their own nuget packages, making them more generic and testable. I glued them together with some code I wrote, which is availble in Dapplo.Addons, but I knew that this was just a journey, until I found something that is a better with more potential.

I found the following description: _The purpose of Generic Host is to enable a wider array of host scenarios. Messaging, backg

About

How to unstar all your github stars with API

Generate a github personal token

visit here: https://github.com/settings/tokens make sure to check repo scope, it is needed to unstar

Get all starred repos

A non-exhaustive list of WebGL and WebGPU frameworks and libraries. It is mostly for learning purposes as some of the libraries listed are wip/outdated/not maintained anymore.

Engines and libraries ⚙️

Name	Stars	Last Commit	Description
three.js	![GitH

Quickstart Guide to undertsanding the Qualtrics Survey File

This information is likely to quickly become outdated when Qualtrics next changes the formatting of the QSF file. This guide was started February 2017. I hope that it is a useful introduction to understanding the contents of the QSF file that one can download from Qualtrics.

This document includes:

To distribute a package on pypi

Directory structure

/project/
    /package/
        __init__.py
        module.py
 setup.py

Build docker image

$ cd /path/to/Dockerfile
$ sudo docker build .

View running processes

	using System;

	// Tested on .NET Core 2.1
	class Program
	{
	static void Main(string[] args)
	{
	Console.CancelKeyPress += OnSigInt;
	AppDomain.CurrentDomain.ProcessExit += OnSigTerm;

	# Install virtualbox
	sudo apt install virtualbox

	# Install Kubectl
	curl -LO https://storage.googleapis.com/kubernetes-release/release/$(curl -s https://storage.googleapis.com/kubernetes-release/release/stable.txt)/bin/darwin/amd64/kubectl && chmod +x kubectl && sudo mv kubectl /usr/local/bin

	# Install Minikube
	curl -Lo minikube https://storage.googleapis.com/minikube/releases/v0.14.0/minikube-darwin-amd64 && chmod +x minikube && sudo mv minikube /usr/local/bin/
	# Launch Minikube
	minikube start

	#import <iostream>

	// A simple container class for holding results
	class Item {
	using str = std::string;
	private:
	str _item;
	public:
	Item(str k): _item {k} {}
	const str value() const {