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Brief on the Research-Plan-Implement (RPI) framework

The RPI (Research → Plan → Implement) framework is a structured, three-phase methodology for AI-assisted software development that trades raw speed for predictability and correctness by inserting explicit validation gates between each phase.

The Core Problem It Solves

When you ask an AI agent to "just implement" something, you're silently gambling that it correctly understands intent, discovers all relevant code, makes sound architectural decisions, doesn't hallucinate APIs, and stays in scope. Without structure, even capable models become unreliable code generators — producing context overflow, hallucinations, scope creep, and untestable output. RPI fixes this by separating meaning from execution: research and planning act as "compile steps" so that implementation becomes deterministic rather than live interpretation.[^1_1][^1_2]

The Three Phases

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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.

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# A multiline prompt with username, hostname, full path, return status, git branch, git dirty status, git remote status

local return_status="%{$fg[red]%}%(?..⏎)%{$reset_color%}"

local host_info=""
local host_color="green"
if [ -n "$SSH_CLIENT" ]; then
  local host_info="%{$fg_bold[grey]%}[%{$reset_color%}%{$fg_bold[${host_color}]%}%n@%m%{$reset_color%}%{$fg_bold[grey]%}]%{$reset_color%} "
  local host_color="red"
fi

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<noscript>
  <style>
    noscript section,
    noscript section * {
      box-sizing: border-box;
      text-align: center;
      font-size: 2rem;
    }

    noscript > section {

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#! /usr/bin/env bash

set -euo pipefail

google_chrome_desktop_file="/usr/share/applications/google-chrome.desktop"
exec_directive="Exec=/usr/bin/google-chrome-stable"
dark_mode_flags="--enable-features=WebUIDarkMode --force-dark-mode"
replace_patterns="s#${exec_directive}#${exec_directive} ${dark_mode_flags}#g"

sed "${replace_patterns}" "${google_chrome_desktop_file}" | sudo tee "${google_chrome_desktop_file}"

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#!/bin/bash

# Instructions:
# Place this file inside /etc/NetworkManager/dispatcher.d/
# sudo chown root:root 00_toggle-repo.sh
# sudo chmod +x 00_toggle-repo.sh


repos="rhel8-csb"

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#To Decrypt Jenkins Password from credentials.xml
#<username>jenkins</username>
#<passphrase>your-sercret-hash-S0SKVKUuFfUfrY3UhhUC3J</passphrase>


#go to the jenkins url 
http://jenkins-host/script

#In the console paste the script
hashed_pw='your-sercret-hash-S0SKVKUuFfUfrY3UhhUC3J'

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interface MainFuncAsync {
    (args: string[]): Promise<number|void>
}

class ProgramEntryPoint {
    static main: MainFuncAsync;
}

interface IProgramEntryPoint {
    new(): ProgramEntryPoint

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#! /bin/bash

SELF_SIGNED_CERTS_DIR="$PWD/.ssl"
[[ ! -d $SELF_SIGNED_CERTS_DIR ]] && mkdir $SELF_SIGNED_CERTS_DIR
rm -rf $SELF_SIGNED_CERTS_DIR/*
openssl req -newkey rsa:2048 -new -nodes \
    -keyout $SELF_SIGNED_CERTS_DIR/private-key.pem \
    -out $SELF_SIGNED_CERTS_DIR/csr.pem
openssl x509 -req -days 365 \
    -in $SELF_SIGNED_CERTS_DIR/csr.pem \

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class Spinner {
  static #count = 0;

  static #svgWrapperTemplate({ className, id, children }) {
    return `
      <svg id="${id}" class="${className}" viewBox="0 0 100 100" preserveAspectRatio="xMidYMid">
          ${children}
      </svg>
    `;
  }