AI Swarm — Multi-Agent Engineering Team

AI Swarm is a coordinated team of six specialized AI agents: Planner (requirements analysis), Architect (system design), Builder (code implementation), Inspector (code review), QA (testing), and Documentation (knowledge management). Together they collaborate as your engineering team.

Your AI Engineering Team

Not one assistant — six specialized AI agents working together. You remain the project lead while AI handles the engineering execution.

Planner

Analyzes requirements, creates development plans, breaks down complex features into manageable tasks, and defines acceptance criteria.

Architect

Designs scalable system architecture, evaluates technology trade-offs, documents architectural decisions, and ensures design consistency.

Builder

Writes production-quality code, implements features following best practices, performs refactoring, and maintains code quality standards.

Inspector

Reviews code for quality, security vulnerabilities, performance issues, and adherence to coding standards and architecture guidelines.

QA

Creates test strategies, writes unit and integration tests, executes test suites, and ensures software reliability before deployment.

Documentation

Generates and maintains project documentation, API references, architecture guides, and knowledge base — keeping everything synchronized with the code.

The Swarm Workflow

1

Planner

Define goals and requirements together

2

Architect

Create system architecture

3

Builder

Implement features collaboratively

4

Inspector

Validate quality and security

5

QA

Ensure reliability

6

Documentation

Preserve knowledge

Frequently Asked Questions

How is AI Swarm different from a chatbot?

AI Swarm uses multiple specialized agents instead of a single assistant. Each agent has a specific role (Planner, Architect, Builder, etc.) and they collaborate together, similar to a human engineering team.

Can I customize the AI agents?

Yes. You can configure AI providers per agent, define custom instructions, and create specialized AI skills through the plugin architecture.

Do I stay in control?

Always. You remain the project lead — reviewing, approving, and directing. AI agents execute tasks but never make unilateral decisions.

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