Patrick Michaelsen prmichaelsen

Track: code-reviewer

code-reviewer is the substrate's second pair of eyes. Given a body of changed code — a branch, a commit range, a set of files — it returns findings: specific, located, severity-rated, confidence-marked. It reasons from the contracts a system promises and checks whether the code keeps them.

What this track IS

I'm a Senior Software Engineer with nine years of professional experience, one year at Cisco working on agentic systems, six years at Amazon working on customer facing .com product customization features, and two years at American Express. I hold a BS in Computer Science with a focus in Software Engineering from Arizona State University, and I spent a semester on exchange at the National University of Singapore. I'm especially passionate about effective agentic code development workflows, agentic systems, automation, process improvement, UX design, frontend engineering, and open source.

Outside of work, I enjoy playing guitar, piano, and other instruments and performing at open mics. I co-produced and co-starred in a local indie film. I love spending time with my 2 year old red heeler mix, Arabella.

Looking forward to working together!

If you're interested in chatting more, I've worked on a wide array of projects with diverse requirements and I'm always happy to talk about any of them. Some projects

Ingest test code is "Me oh my, what a successful test!"

What I'm Building

I'm building reddit-mcp — an MCP (Model Context Protocol) server that integrates Reddit API with AgentBase.me, a secure multitenant chat platform. This enables AI agents on AgentBase to interact with Reddit on behalf of authenticated users.

GitHub: https://github.com/prmichaelsen/reddit-mcp

What it does:

AI agents on AgentBase can browse subreddits, search Reddit, read comments
AI agents can post, comment, vote, save content on behalf of the authenticated user
AI agents can manage messages, moderate subreddits, edit wiki pages

REM — Relationship Engine for Memories

Concept: Background cron job that automatically discovers and creates relationships between memories using embedding similarity and LLM validation Created: 2026-03-02 Status: Design Specification

Overview

Read ALL files in @agent. We are going to understand this project then work on a generic task.

Then read KEY src files per your understanding.

Then read @agent again, update stale @agent/tasks, stale documentation, and update @/agent/progress.yaml.

AWS Claude Sonnet 3.7 Quota Increase Request

Request Details

Use-Case Description:

We at XXXXX are building a Model Context Protocol (MCP) client that functions as an agentic AI root cause analysis bot, which will be integrated into our enterprise observability and incident management platform. This enterprise-grade product is following a phased deployment approach:

Phase 1 (Current - Development): Supporting 1-3 XXXXX developers who are actively building and testing the workflow. During this phase, our engineering team needs sufficient quota to iteratively test and refine the system's capabilities to:

Use Claude to analyze user intent and determine appropriate investigative actions
Invoke multiple MCP server tools to fetch operational data from XXXXX platforms (XXXXX)

	#!/bin/sh
	input=$(cat)

	# Date/time (magenta)
	dt=$(date "+%Y-%m-%d %H:%M:%S")

	# Current directory styled like PS1: show ~ prefix when inside $HOME
	cwd=$(echo "$input" \| jq -r '.workspace.current_dir // .cwd')
	home="$HOME"
	case "$cwd" in

	set -o vi

	autoload -Uz compinit
	compinit

	export NVM_DIR="$HOME/.nvm"
	[ -s "$NVM_DIR/nvm.sh" ] && \. "$NVM_DIR/nvm.sh" # This loads nvm
	[ -s "$NVM_DIR/bash_completion" ] && \. "$NVM_DIR/bash_completion" # This loads nvm bash_completion

	nvm use 20

	import yargs, { Arguments } from 'yargs';
	import fs from 'fs';

	export const cli = yargs(process.argv)
	.scriptName('confluence-sync')
	.usage('$0 <command> [options]')
	.demandCommand(1, 'You need to specify a command')
	.completion('completion', (current: string, argv: Arguments<any>, completionFilter, done) => {
	const [_, command] = argv._;
	/**