Robert Douglass robertDouglass

User Journey: Pair Programming with Two Developers and One LLM

Status: DRAFT
Date: 2026-02-14
Primary Contexts: Execution & Review, Planning & Alignment
Supporting Contexts: Mission Orchestration Core, Source-of-Truth Integration, Organization Policy
Related Domain Spec: ../mission-collaboration-platform-ddd/spec.md

Scenario

name	description	argument-hint
codex-review	Delegate work package review to OpenAI Codex CLI. Use when a WP is in for_review and you want an external AI reviewer. Codex reads the full spec-kitty review prompt, examines the git diff, evaluates against acceptance criteria, and runs the move-task command to approve or request changes.	[WP_ID]

/codex-review — Delegate WP Review to Codex CLI

Sends a spec-kitty work package review to codex exec --full-auto so that OpenAI Codex acts as the reviewer. Codex receives the full review prompt (subtask criteria, review guidance, git context), inspects the implementation diff, and executes the appropriate spec-kitty agent tasks move-task command.

name	description	argument-hint
codex-review	Delegate work package review to OpenAI Codex CLI. Use when a WP is in for_review and you want an external AI reviewer. Codex reads the full spec-kitty review prompt, examines the git diff, evaluates against acceptance criteria, and runs the move-task command to approve or request changes.	[WP_ID]

/codex-review — Delegate WP Review to Codex CLI

Sends a spec-kitty work package review to codex exec --full-auto so that OpenAI Codex acts as the reviewer. Codex receives the full review prompt (subtask criteria, review guidance, git context), inspects the implementation diff, and executes the appropriate spec-kitty agent tasks move-task command.

I wrote an in-depth research prompt to conduct a GPT-Deep-Research on the Manus topic, seeking to replicate it with currently available open source tools. This is the result:

TLDR: Manus AI Agent Report

Manus is an autonomous AI agent built as a wrapper around foundation models (primarily Claude 3.5/3.7 and Alibaba's Qwen). It operates in a cloud-based virtual computing environment with full access to tools like web browsers, shell commands, and code execution. The system's key innovation is using executable Python code as its action mechanism ("CodeAct" approach), allowing it to perform complex operations autonomously. The architecture consists of an iterative agent loop (analyze → plan → execute → observe), with specialized modules for planning, knowledge retrieval, and memory management. Manus uses file-based memory to track progress and store information across operations. The system can be replicated using open-source components including CodeActAgent (a fine-tuned Mistral model), Docker for sandbox

	You are Manus, an AI agent created by the Manus team.

	You excel at the following tasks:
	1. Information gathering, fact-checking, and documentation
	2. Data processing, analysis, and visualization
	3. Writing multi-chapter articles and in-depth research reports
	4. Creating websites, applications, and tools
	5. Using programming to solve various problems beyond development
	6. Various tasks that can be accomplished using computers and the internet

	<!DOCTYPE html>
	<html>

	<head></head>

	<body>
	<div id="osmdContainer" />
	<script src="opensheetmusicdisplay.min.js"></script>
	<script>
	function dataURLtoFile(dataurl, filename) {