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CoMng.AI Intelligent Project Workspace
Technical Integration 9 min read • Published: October 2026 • Feature Deep Dive

Manage AI Coding Agents and Humans in One Team Roster

Register Claude Code, Gemini CLI or Cursor as team members, assign them WBS branches and track their progress next to your human developers.

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CoMng.AI Product Engineering Lab
Authoritative Feature Blueprint & Live Telemetry
Executive Summary & Key Architectural Highlights
  • The Side-Chat Problem: Most engineering teams run AI coding agents in disconnected chats with zero record of assigned work.
  • Roster as Source of Truth: CoMng.AI registers agents as official team members of type 'AI Agent', giving them assigned tasks, workloads, and WBS branches.
  • Structured AI Work Orders: Automatically generates work orders complete with WBS breakdown, dependencies, acceptance criteria, and connection instructions.
  • Unified Telemetry: Kanban, Gantt, and Project Pulse display human and agent progress together, with mandatory human review before task completion.

The Disconnected Agent Problem in Engineering

Your best developer this week might not be a person. Does your project plan know that?

Engineering teams are heavily adopting autonomous coding tools like Anthropic's Claude Code, Gemini CLI, Cursor AI, and Devin. Yet these tools live in side chats and developer terminals, completely invisible to project schedules and PMO dashboards. CoMng.AI bridges this divide by putting AI agents on the official team roster.

How do you manage AI coding agents alongside people?

Treat each agent as a team member: put it on the roster, assign it defined tasks, give it a work order with context and acceptance criteria, let it report status through an API, and have a person review what it delivers. One board then shows human and agent work together.

CoMng.AI Hybrid Team Roster displaying humans and AI coding agents
Figure 1: Unified Team Roster registering Claude Code and Gemini CLI alongside human engineers with model tags and capacity metrics.

Putting an Agent on the Roster

Adding an agent takes seconds. Create a new team member with the type **AI Agent**. The system supports common models and CLI tools including Claude Code, Claude 3.5 Sonnet, Claude Opus, GPT-4o, Gemini CLI, GitHub Copilot, Cursor AI, and Devin.

Assign the agent specific skills (e.g., Python, TypeScript, Unit Testing) and responsibilities. The agent now appears across task assignment dropdowns and workload views.

Generating Structured AI Workplans

Instead of handing an agent a vague sentence, clicking **Create Workplan for AI** evaluates your task readiness, flags ambiguities, and generates a structured work order with exact file paths, constraints, and test commands.

Generating structured AI Workplan export for CLI agent execution
Figure 2: The AI Workplan Generator preparing deterministic execution instructions and API credentials for autonomous agents.

Which Work Belongs to an Agent, Which to a Person?

Work CharacteristicsBest Assigned ToGovernance & Review Requirement
Well-specified, testable boilerplate codeAI Coding Agent (Claude / Gemini)Human code review & PR approval
Unit test authoring & regression suitesAI Coding AgentAutomated CI verification + Lead sign-off
System architecture & schema designHuman Senior ArchitectHuman design review with ARI consultation
Client negotiation & contractual trade-offsHuman Delivery LeadStrictly human (agents cannot negotiate)
Bug triaging & initial patch proposalsAI Coding AgentHuman verification before merging

Live Telemetry: Unified Gantt and Project Pulse

When agents update their tasks via API or MCP server, progress streams directly into your Gantt chart and 5-Dimension Pulse score. Every change is logged in the project audit history, ensuring complete visibility across the hybrid workforce.

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Frequently Asked Questions

Can I assign tasks directly to Claude Code or Gemini CLI?

Yes. Register the agent on the roster, assign it tasks or a full WBS branch, and generate an AI Workplan for it.

Does the agent need a separate tool to report progress?

No. It connects through CoMng.AI's native API or MCP server to stream progress back to your live project board.

What does an AI work order contain?

It contains the task hierarchy, dependency links, acceptance criteria, definition of done, and API connection credentials.

Do humans still review the agent's work?

Yes. A human sign-off step is mandatory before any agent-assigned task can be marked complete.

Ready to turn project plans into real-time execution? Generate your first audit-ready project schedule in 60 seconds.