What's missing from most AI coding-agent management setups?

[Lucdev180]

I think there are two different questions when a team adopts AI coding agents:

1. Which coding agent should we use?
2. How should the team schedule, assign, monitor, and review the work?

The first question gets most of the attention.

But the second becomes important when several developers and agents work on the same product.

A team needs to know:

• Which agent is responsible for each task?
• Can recurring jobs run on a schedule?
• Can an event trigger an agent automatically?
• Where can developers inspect execution results?
• Who reviews the code before it is accepted?

This is where the idea of a dedicated workspace becomes interesting.

Sharkly.ai is one platform worth evaluating because it combines task planning, Agent assignment, and Automations. Its automation rules support scheduled execution, task-status triggers, comment phrases, and webhooks.

Documentation: https://help.sharkly.ai/docs/space/automations

If you were choosing a platform today, would you prioritize agent scheduling, repository execution, or team-level visibility?