---
title: Welcome to the EVO Method
description: AI-driven development framework with specialized agents, guided workflows, and intelligent planning
---

The EVO Method (**B**uild **M**ore **A**rchitect **D**reams) is an AI-driven development framework module within the EVO Method Ecosystem that helps you build software through the whole process from ideation and planning all the way through agentic implementation. It provides specialized AI agents, guided workflows, and intelligent planning that adapts to your project's complexity, whether you're fixing a bug or building an enterprise platform.

If you're comfortable working with AI coding assistants like Claude, Cursor, or GitHub Copilot, you're ready to get started.

:::note[🚀 V6 is Here and We're Just Getting Started!]
Skills Architecture, EVO Builder v1, Dev Loop Automation, and so much more in the works. **[Check out the Roadmap →](/roadmap/)**
:::

## New Here? Start with a Tutorial

The fastest way to understand EVO is to try it.

- **[Get Started with EVO](./tutorials/getting-started.md)** — Install and understand how EVO works
- **[Workflow Map](./reference/workflow-map.md)** — Visual overview of BMM phases, workflows, and context management

:::tip[Just Want to Dive In?]
Install EVO and use the `evo-help` skill — it will guide you through everything based on your project and installed modules.
:::

## How to Use These Docs

These docs are organized into four sections based on what you're trying to do:

| Section           | Purpose                                                                                                    |
| ----------------- | ---------------------------------------------------------------------------------------------------------- |
| **Tutorials**     | Learning-oriented. Step-by-step guides that walk you through building something. Start here if you're new. |
| **How-To Guides** | Task-oriented. Practical guides for solving specific problems. "How do I customize an agent?" lives here.  |
| **Explanation**   | Understanding-oriented. Deep dives into concepts and architecture. Read when you want to know *why*.       |
| **Reference**     | Information-oriented. Technical specifications for agents, workflows, and configuration.                   |

## Extend and Customize

Want to expand EVO with your own agents, workflows, or modules? The **[EVO Builder](https://evo-builder-docs.evo-method.org/)** provides the framework and tools for creating custom extensions, whether you're adding new capabilities to EVO or building entirely new modules from scratch.

## What You'll Need

EVO works with any AI coding assistant that supports custom system prompts or project context. Popular options include:

- **[Claude Code](https://code.claude.com)** — Anthropic's CLI tool (recommended)
- **[Cursor](https://cursor.sh)** — AI-first code editor
- **[Codex CLI](https://github.com/openai/codex)** — OpenAI's terminal coding agent

You should be comfortable with basic software development concepts like version control, project structure, and agile workflows. No prior experience with EVO-style agent systems is required—that's what these docs are for.

## Join the Community

Get help, share what you're building, or contribute to EVO:

- **[Discord](https://discord.gg/gk8jAdXWmj)** — Chat with other EVO users, ask questions, share ideas
- **[GitHub](https://github.com/evo-code-org/EVO-METHOD)** — Source code, issues, and contributions
- **[YouTube](https://www.youtube.com/@EVOCode)** — Video tutorials and walkthroughs

## Next Step

Ready to dive in? **[Get Started with EVO](./tutorials/getting-started.md)** and build your first project.
