Band Launches Desktop App for Managing Multiple AI Coding Agents

Agents have also become more specialized, gaining access to larger parts of the development lifecycle, including coding tools, sessions, machines, validation, testing and integration. But individual agents often remain isolated from one another and are only aware of each other through the codebase, repositories such as GitHub, or tickets posted to trackers such as Jira. Developers often must pass session context between agents and coordinate handoffs so agents do not collide or overlap.

Band for Developers provides a desktop application that gives developers a bird’s-eye view of their entire team of agents at work, including projects, ownership, blockers, questions and progress. From that view, a developer can move to a project or jump to a specific agent when intervention is needed, then shift back to the broad dashboard without moving contextual information between individual agents.

For example, if an agent gets stuck because another agent is working on a key function or apparatus in the software it needs to move forward, and it has a question about how that will work, the developer can note that it should wait until the other agent completes, or tell the waiting agent to go ahead with prototyping. The company said this gives development teams greater control over fleets of agents working across the entire codebase while staying aware of where each agent is, similar to how a development team might operate.

“Developers are going from working with one coding agent to leading teams of them, but the tools around those agents haven’t evolved to support that,” said Chief Executive and co-founder Arick Goomanovsky. “We’re seeing engineering teams undergo a fundamental transformation as they adopt multiple agents across different harnesses.”

The desktop application complements Band’s command-line interface and integrates with AI agents in the development environments developers already use, the company said. “Running more agents only helps if developers can actually manage the work those agents create,” said Engineering Manager Amit Gazal.

JetBrains’ Developer Ecosystem Survey 2026 found that weekly AI agent use has reached the mainstream for professional developers using local and remote cloud agents, with 90% using at least one AI coding agent at work weekly and 68% using them daily. It is harder to measure developer adoption of multi-agent systems, or swarms, but across other use cases multi-agent workflows have been steadily adopted, with Databricks’ 2026 State of AI Agents report showing 327% growth from September 2025 to early 2026.