Automate software development
with AI and your team

Team Collaboration

Multi-Agent AI

Quality Gates

7×24 Product Development

AI builds features |

Define your features. Edsger handles the rest—analysis, design, code, tests, and PR—automatically. Your team approves when needed.

Start building for free

What makes Edsger different

Unlike coding assistants, Edsger works like a team member—not just a tool

Team Collaboration

PM, Dev, QA, and Tech Lead collaborate with AI before code is written. No more misunderstood requirements.

Multi-Agent AI

Multiple specialized agents check each other's work. AI that catches its own mistakes before your team has to.

Quality Gates

Built-in approvals, feedback, and checklists at every phase. Your team stays in control.

End-to-End Automation

From requirements to pull requests, automatically. Complete features, not just code snippets.

How it works

Your team guides AI through a structured workflow

Define Feature

PM describes the feature. AI generates user stories. PM reviews and approves.

Design & Verify

AI creates technical design. Another AI verifies it. Tech Lead approves.

Build & Test

AI writes code and tests. Multi-agent review catches issues automatically.

Ship with Confidence

QA validates test coverage. Team approves. Code ships on the first try.

Quality Assurance with Smart Checklists

Ensure consistent quality across all development phases with customizable, role-based checklists that guide your team through every milestone

Checklist Features

Comprehensive quality control at every step

Multi-Phase Coverage

From feature analysis to deployment, track quality across 8 development phases

Role-Based Templates

Specific checklists for Product Managers, Developers, QA, UX, and more

Feature-Specific Customization

Create unique checklists for individual features beyond standard templates

Progress Tracking

Real-time completion status with visual progress indicators

Development Phases

Quality gates throughout the lifecycle

Feature Analysis

Technical Design

Code Implementation

Bug Fixing

Code Review

Pull Request

Functional Testing

Deployment

Each phase includes customizable checkpoints with required and optional items, ensuring nothing falls through the cracks.

MCP Server Integration

Connect AI coding assistants to your Edsger agents and workflows through Model Context Protocol

MCP Features

What you can do with MCP integration

Access Agents

Query and interact with your AI agents

Execute Workflows

Run automated workflows from your IDE

Project Context

Access project information and milestones

Secure Access

Token-based authentication with rate limiting

Quick Setup

Get started with MCP in just a few steps

Create an MCP Token

Go to the MCP page to generate a new access token

Copy the Setup Command

Use the provided command to configure your AI coding assistant

Start Using MCP

Your AI assistant can now access your agents and workflows

Ready for AI that works like a team member?

Stop prompting. Start shipping. Let your team and AI build together.