martinheld

JWT Kong Example

• Get and Start Kong and Co

git clone git@github.com:Mashape/docker-kong.git
cd docker-kong/compose
docker-compose up

• Create Kong API Route

satendra02

FROM ruby:2.3.1

# Install dependencies
RUN apt-get update -qq && apt-get install -y build-essential libpq-dev nodejs

# Set an environment variable where the Rails app is installed to inside of Docker image:
ENV RAILS_ROOT /var/www/app_name
RUN mkdir -p $RAILS_ROOT

# Set working directory, where the commands will be ran:

unoexperto

How to patch Android app to sniff its HTTPS traffic with self-signed certificate

• Download apktool from https://ibotpeaches.github.io/Apktool/
• Unpack apk file: java -jar /home/expert/work/tools/apktool.jar d net.flixster.android-9.1.3@APK4Fun.com.apk
• Modify AndroidManifest.xml by adding android:networkSecurityConfig="@xml/network_security_config" attribute to application element.
• Create file /res/xml/network_security_config.xml with following content:

<?xml version="1.0" encoding="utf-8"?>
<network-security-config>
    <base-config>

ryanorendorff

In this procedure, we are attempting to set up a devnet, which is a blockchain completely local to your machine. Below is the attempted procedure to get it up and running.

In general, believe this is the structure we want:

graph TB;
    reth1[reth execution client]
 lighthouse1[Lighthouse consensus client]

karpathy

LLM Wiki

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

The core idea

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.