ghuntley

JITI: a CS50-style tour of a repairable Lisp kernel

The project keeps a running Lisp world alive while an outside controller asks an OpenAI model what to try next.

1. The big picture

                         "What should we try?"
                                  |
 v

samuelcolvin

# /// script
# requires-python = ">=3.14"
# dependencies = ["pydantic-monty>=1"]
# ///
import time

from pydantic_monty import Monty

N = 10_000

dmmulroy

TypeScript Coding Standards

These standards describe how to design and write TypeScript code in this codebase. They are especially intended for agents: before adding patterns, libraries, adapters, or abstractions, read the existing code and prefer the local convention unless it conflicts with the safety/correctness principles below.

Decision priority

When rules pull in different directions, use this order:

1. Preserve correctness, safety, and debuggability.
2. Follow established project architecture and conventions.

CyrusNuevoDia

---

name: plan-goal description: >- Turn a fuzzy task into a verifier-first goal. Instead of planning how to do X, first write a self-contained prompt that CHECKS whether X is actually done, make that verifier the standing goal, then run plan→do→verify cycles against it until it passes. Use this whenever starting a non-trivial, multi-step task where "done" is ambiguous or premature success is a risk — especially when the user says "plan-goal", "verify-first", "define done", "set the goal", "how will we know this worked", or asks you to plan something substantial. Prefer this over jumping

aparente

---

name: tufte-viz description: | Ideate and critique data visualizations using Edward Tufte's principles from "The Visual Display of Quantitative Information." Use this skill when: (1) Designing new data visualizations or charts (2) Critiquing or improving existing visualizations (3) Reviewing dashboards or reports for graphical integrity (4) Deciding between visualization approaches (5) Reducing chartjunk or improving data-ink ratio (6) Planning small multiples or high-density displays

karpathy

"""
The most atomic way to train and run inference for a GPT in pure, dependency-free Python.
This file is the complete algorithm.
Everything else is just efficiency.

@karpathy
"""

import os       # os.path.exists
import math     # math.log, math.exp

Blumed

Pixel to Rem Converter

Features:

• It reads the current pages root pixel size and unit size calculations will be based off of it
• You can edit the root pixel size if you would like and all calculations of unit sizes will change accordingly
• Updating the pixel value will update the rem value automatically
• Updating the rem value will update the pixel value automatically
• Using the copy buttons will append the unit name to the end of the value for you ex. 10px or 0.625rem

VictorTaelin

╭────────────────────────────────────────────╮
│ ✻ Welcome to Claude Code research preview! │
│                                            │
│   /help for help                           │
│                                            │
│   cwd: /Users/v/vic/dev/IC                 │
╰────────────────────────────────────────────╯

! cat InteractionCalculus.md

ngxson

Why did you do this?

Relax, I only have one Sunday to work on idea, literally my weekend project. So I tried Deepseek to see if it can help. Surprisingly, it works and it saves me another weekend...

What is your setup?

Just chat.deepseek.com (cost = free) with prompts adapted from this gist.

Does it work in one-shot or I have to prompt it multiple times?

mberneti

// Usage:
// Replace React.lazy(() => import('x'));
// with retryDynamicImport(() => import('x'));

import { ComponentType, lazy } from 'react';

const MAX_RETRY_COUNT = 15;
const RETRY_DELAY_MS = 500;

// Regex to extract the module URL from the import statement