---
title: "Documentation AI - Guides, API Reference & Tutorials"
source: https://docs.autohand.ai/
---

# Introducing Autohand

Autohand is a platform for building AI software engineers with self-evolving capabilities. It helps engineering teams build, deploy, and manage complex systems through autonomous agents that learn and improve over time.

## Product suite

Autohand provides four products that cover the full software development lifecycle:

-   **Code**: AI-powered coding tools for the terminal and your IDE. Code includes the CLI for terminal-first workflows, extensions for VS Code and Zed Editor, and JetBrains integration through the Agent Communication Protocol (ACP).
-   **Evolve**: Self-improving AI agents that discover and optimize algorithms through evolutionary processes. Evolve runs autonomously, testing mutations against your evaluation criteria and selecting the best performers for each generation.
-   **Slack**: An integration that brings Autohand into your team conversations. Interact with AI agents directly from your workspace channels.
-   **Commander**: A visual interface for orchestrating multi-agent workflows across your infrastructure.

## Core technology

Autohand is built on self-evolving AI agents that operate autonomously across your development workflow. The platform combines four key technologies:

-   **Evograph**: An evolutionary graph system that enables agents to learn from every iteration and build compounding knowledge over time.
-   **Self-improving agents**: Autonomous agents that test, mutate, and improve without human intervention. Each generation builds on the successes of the previous one.
-   **Ground truth evaluation**: You define the success criteria, and the agents measure every solution against your standards. Only improvements that pass your tests survive to the next generation.
-   **Cloud-agnostic deployment**: Run Autohand on AWS, Google Cloud, Azure, or your own infrastructure with no vendor lock-in.

## Installation

Choose your preferred environment to get started with Autohand:

## What teams build with Autohand

-   Algorithm optimization through self-improving agents that discover efficiencies across generations.
-   Large-scale code modernization and framework migrations with automated testing and verification.
-   Autonomous SRE workflows for incident detection, root cause analysis, and automated remediation.
-   Technical debt reduction through continuous code analysis and refactoring.
-   Custom AI workflows that integrate with existing tools through Slack, CLI, and API surfaces.

## Next steps

-   [Quickstart guide](/docs/quickstart.html): Get up and running in five minutes.
-   [Models](/docs/models/): Choose between Fantail and Moa for coding and agent workflows.
-   [CLI reference](/docs/working-with-autohand-code/cli-reference.html): Full command documentation for the Autohand CLI.
-   [Configuration](/docs/working-with-autohand-code/configuration.html): Customize Autohand for your project.
-   [AI model providers](/docs/integrations/ai-model-providers.html): Connect to cloud or local models.