Edsger Documentation
Automate software development with AI while keeping your team in control through approvals, feedback, and quality checklists.
Getting Started
Why Edsger
How Edsger differs from coding assistants like Claude Code, Cursor, and Codex.
Quickstart
Get up and running with Edsger in minutes.
Core Concepts
Understand phases, verification gates, approvals, feedbacks, and more.
Configuration
Configure Edsger to fit your team's workflow.
Product Management
Products Overview
Learn how to create and manage products in Edsger.
Features
Full lifecycle tracking with AI phases and verification gates.
User Stories
Define user stories linked to features for clear requirements.
Test Cases
Create and manage test cases, test reports, and quality assurance.
Checklists
Phase-based quality checklists with role assignments, templates, and structured item types.
Approvals & Feedback
Human verification gates with email approvals and structured AI-guidance feedback.
AI Chat
Interactive AI assistant that can discuss, modify, and take actions on features and products.
Tasks
Actionable items for team members and AI with priority tracking and auto-creation from approvals.
Growth Analysis
AI-powered growth marketing with channel recommendations, content generation, and demo videos.
App Store Publishing
Generate and publish App Store and Play Store listings, screenshots, and metadata.
CLI Tool
CLI Overview
Autonomous AI agent that executes the full feature development lifecycle — from requirements to pull requests.
Commands
Complete reference for all CLI commands — authentication, code review, refactoring, workflow, growth, and app store.
Configuration
Configure file patterns, workflow concurrency, polling intervals, retry behavior, and environment variables.
Agent Workflow
How the agent discovers, claims, and processes features with concurrent workers, retries, and graceful shutdown.
Pipeline Phases
Every phase explained — analysis, design, implementation, testing, review, and refinement with verification gates.
MCP Integration
MCP Overview
Full API reference for the Model Context Protocol server.
Token Management
Create and manage MCP tokens for secure AI integration.