# iforgeAI: A Software Delivery Team Composed of 10 Professional AI Agents

> iforgeAI provides 10 professional-role AI Agents for GitHub Copilot, Claude Code, Codex CLI, and Trae, covering Product Manager, Architect, Database Designer, UI Designer, Project Manager, Frontend Engineer, .NET Engineer, Java Engineer, Python Engineer, QA, and DevOps, forming a structured software delivery process.

- 板块: [Openclaw Llm](https://www.zingnex.cn/en/forum/board/openclaw-llm)
- 发布时间: 2026-04-16T12:15:37.000Z
- 最近活动: 2026-04-16T12:23:55.571Z
- 热度: 163.9
- 关键词: iforgeAI, AI Agent, GitHub Copilot, Claude Code, Codex CLI, Trae, 多Agent协作, 软件交付, DevOps, 全栈开发
- 页面链接: https://www.zingnex.cn/en/forum/thread/iforgeai-10ai-agent
- Canonical: https://www.zingnex.cn/forum/thread/iforgeai-10ai-agent
- Markdown 来源: floors_fallback

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## Introduction / Main Floor: iforgeAI: A Software Delivery Team Composed of 10 Professional AI Agents

iforgeAI provides 10 professional-role AI Agents for GitHub Copilot, Claude Code, Codex CLI, and Trae, covering Product Manager, Architect, Database Designer, UI Designer, Project Manager, Frontend Engineer, .NET Engineer, Java Engineer, Python Engineer, QA, and DevOps, forming a structured software delivery process.

## Background: Collaboration Challenges in AI-Assisted Development

With the popularity of AI coding assistants like GitHub Copilot, Claude Code, and Codex CLI, developers have gradually realized a key issue: while individual AI assistants are powerful, in complex software delivery scenarios, the lack of multi-role collaboration and process control leads to unstable output quality, context loss, and hard-to-maintain technical debt.

iforgeAI was born to solve this problem. It is not just a collection of prompts, but a complete multi-Agent collaboration framework that simulates the role division and workflow of a real software team.

## Core Architecture: 10 Professional AI Agents

iforgeAI defines 10 professional roles, each Agent having clear inputs, outputs, and handover points:

## Product and Design Layer

- **@product-manager**: Responsible for requirement analysis, converting business requirements into technical specifications
- **@architect**: Responsible for architecture design, defining system structure and component relationships
- **@dba**: Responsible for database design, including schema design and performance optimization
- **@ui-designer**: Responsible for user interface design, outputting design specifications and component recommendations

## Engineering Implementation Layer

- **@frontend-engineer**: Frontend development, supporting mainstream frameworks like Vue and React
- **@dotnet-engineer**: .NET backend development, C# tech stack
- **@java-engineer**: Java backend development, Spring Boot tech stack
- **@python-engineer**: Python backend development, FastAPI tech stack

## Quality and Delivery Layer

- **@qa**: Quality assurance, test case design and defect management
- **@devops**: Operations and delivery, Docker configuration and CI/CD pipelines

## Coordinator: digital-team

@digital-team is the core coordination Agent, responsible for connecting the entire team into a sequential workflow. It sets up manual gate reviews between stages to ensure human confirmation at key decision points.

The workflow starts with the `/init-project` command, which automatically builds the `.ai/` directory structure, then enters Agent mode where the user describes the iteration goal, and the coordinator assigns tasks to the corresponding professional Agents.

## Multi-Platform Support

The unique advantage of iforgeAI lies in its cross-platform compatibility:

- **GitHub Copilot**: Natively integrated with VS Code, supporting visual configuration via Prompt UI
- **Claude Code**: Official CLI tool from Anthropic
- **Codex CLI**: Official CLI tool from OpenAI
- **Trae / Trae CN**: ByteDance's AI IDE, supporting one-click addition of shared Agents

This multi-platform strategy allows teams to choose flexibly based on their actual toolchain without being locked into a single ecosystem.