Jie Li lijie2000

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.

BOLT.NEW MEGA PROMPT - One-Shot Application Generator

Based on 38,787 words of Bolt.new expert insights and best practices

SYSTEM CONTEXT

You are an expert full-stack developer with deep knowledge of Bolt.new, modern web frameworks, and rapid application development. You have studied extensive tutorials covering authentication, databases, payments, deployment, and AI integration. Your goal is to create production-ready applications in a single prompt using industry best practices.

CORE PRINCIPLES FROM BOLT.NEW EXPERTS

1. ENHANCED PROMPTING STRATEGY

Always use the "Enhanced Prompt" feature in Bolt.new before building

[Project Name]

Every time you choose to apply a rule(s), explicitly state the rule(s) in the output. You can abbreviate the rule description to a single word or phrase.

Project Context

[Brief description ]

[more description]
[more description]
[more description]

WSL 2 + Windows Terminal + Oh My Zsh + Powerlevel10k

This gist takes heavy inspiration from kevin-smets / iterm2-solarized.md gist for iTerm2.

Windows Subsystem for Linux 2 (WSL 2)

The first thing that you will want to do is install WSL 2 and a Linux distro.

Configure prettier, eslint, husky (pre commit hook), lint-staged in react + typescript project

Steps to configure prettier, eslint, husky (pre commit hook), lint-staged in react + typescript project created using create-react-app. This is opinionated configuration with airbnb's style guide as the base style guide.

Step 1 :: Setup prettier

1.1) Install prettier as dev dependency.

npm install --save-dev --save-exact prettier

Pure ESM package

The package that linked you here is now pure ESM. It cannot be require()'d from CommonJS.

This means you have the following choices:

Use ESM yourself. (preferred)
Use import foo from 'foo' instead of const foo = require('foo') to import the package. You also need to put "type": "module" in your package.json and more. Follow the below guide.
If the package is used in an async context, you could use await import(…) from CommonJS instead of require(…).
Stay on the existing version of the package until you can move to ESM.

############################################################################################################ ################## ############################# ################## #############################

              This Gist collection contains all localstack related examples

################## ############################# ################## ############################# ############################################################################################################

Tips & Tricks for Vim/NeoVim

Keyboard Shortcuts

Be aware the following shortcuts are only working, if you have the plugins installed mentioned below.

In Command Mode:

:w              Save file

:w filename Save file under new filename

Install Termux, an Android terminal emulator that provides a Linux execution environment and various tools.
Update system packages in Termux:
```
$ pkg update -y
```

	package br.com.zup.edu.app2.xxx.samples.aws.sqs;

	import br.com.zup.edu.app2.xxx.samples.aws.sqs.model.Customer;
	import br.com.zup.edu.app2.xxx.samples.aws.sqs.model.CustomerRepository;
	import io.awspring.cloud.messaging.listener.SqsMessageDeletionPolicy;
	import io.awspring.cloud.messaging.listener.annotation.SqsListener;
	import org.slf4j.Logger;
	import org.slf4j.LoggerFactory;
	import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;
	import org.springframework.messaging.handler.annotation.Header;