pi-config

Install pi-config via Docker or natively, configure your environment, and delegate your first task to a specialist agent

Learn how to route work to the right specialist agent using single, parallel, chain, and async delegation modes

Run automated code reviews using three parallel reviewers, review pull requests from GitHub, and review local changes before pushing

Generate changelogs, bump versions across multiple files, and create GitHub releases with a single command

Set up Pidash to monitor multiple agent sessions in real time, stream conversations, and respond to agent questions from your browser

Store lessons, decisions, and patterns in the per-repo memory system so your agents learn from past sessions

Configure the Docker container with the right mounts, environment variables, and tool access for your development workflow

Analyze past code review comments to find recurring patterns, track dismissed feedback, and identify similar issues across repositories

Copy-paste patterns for everyday tasks: implement-and-review loops, PR review-and-fix cycles, background agents, and memory consolidation

Complete reference for all myk-pi-tools subcommands including db, memory, pr, release, reviews, and coderabbit

Reference for all interactive slash commands: /implement, /pr-review, /release, /review-local, /dream, /btw, /cron, and more

Lookup table of all 24 specialist agents with their capabilities, domains, and when the orchestrator routes tasks to each one

Complete list of environment variables for GitHub auth, Vertex AI, Gemini, dashboard ports, Discord bot, and container configuration

Understand how the rule injection system, enforcement layer, and subagent delegation work together to coordinate specialist agents