Eleanor Berger intellectronica

Do You like to YOLO?

You can auto-approve tool calls and terminal commands in Copilot’s Agent mode.

With ❤️ from Eleanor < @intellectronica > ( OKIGU Consulting | Elite AI-assisted Coding )

gistify.py

Create a gist with multiple files (including binaries) in a directory

By Eleanor Berger < @intellectronica > and Codex CLI / GPT-5.

usage: gistify.py [-h] [--public | --secret] [directory]

Source
../.config/ruler/instructions.md

Default Agent Instructions

You have useful tools available as MCP or command-line. Use them.
Unless you are absolutely sure that you have correct and, crucially, up-to-date information in your knowledge, always get information from the web. You can use Tavily for searching and getting information, and you can always use curl to fetch web pages.
If you are working on something that presents web pages, you should use Playwright to open these pages, take snapshots, and inspect them.
When working in a git repository, always switch to a new branch, unless explicitly insutrcted not to.
If the git repo has a corresponding repo on GitHub, use the gh tool for things like looking at issues, opening pull requests, reading review comments, and looking at CI results.

Simple LISP Interpreter in Go, created by GPT-OSS-120B

It worked really fast (on OpenRouter)
I suspect this was with low reasoning effort, I don't know how to control it on OpenRouter
It didn't get it right on the first attempt, but after 5 round trips it worked - would have been just fine with an agent

NICE!!!

Lisp Interpreter

A simple Lisp (Scheme-like) interpreter implemented in Rust.

Created by Eleanor Berger using Cline and Qwen 3 Coder, for less than $1 and in 10 minutes.

Features

REPL (Read-Eval-Print Loop) interface
Basic data types: numbers, booleans, strings, symbols, lists

Information Retrieval Flashcars

Leonie Monigatti, one of the best and clearest voices on information retrieval, published this great list of the most essential things to know about information retrieval (that's the "R" in "RAG"): 37 Things I Learned About Information Retrieval in Two Years at a Vector Database Company. It's excellent, go read it.

And because these are things I never want to forget, I created flashcards to add to my collection (using CardCraft). Maybe they will be useful to you too.


	{
	"name": "GitHub → Todoist",
	"nodes": [
	{
	"parameters": {
	"rule": {
	"interval": [
	{
	"field": "minutes",

	#!/usr/bin/env python3
	# /// script
	# requires-python = ">=3.12"
	# dependencies = [
	# "rich>=13.0.0",
	# "pyfiglet>=0.9.0",
	# ]
	# ///

	"""Display a full-screen colorful banner that reads "I ❤️ GPT-5-mini".

	{
	"type": "excalidraw",
	"version": 2,
	"source": "https://excalidraw.com",
	"elements": [
	{
	"type": "ellipse",
	"version": 5,
	"versionNonce": 123456,
	"isDeleted": false,

	[
	{
	"key": "tab",
	"command": "workbench.action.chat.switchToNextModel",
	"when": "chatInputHasFocus && chatIsEnabled && !lockedToCodingAgent && !quickChatHasFocus && chatLocation == 'panel'"
	}
	]