Band launches desktop app for developer collaboration and control of multiple AI coding agents
Artificial intelligence agentic collaboration platform for multi-agent systems Thenovi AI Ltd., also known as Band, announced Thursday the launch of Band for Developers, a platform and new desktop application that allows software engineers to manage multiple coding agents at once. As software developers continue to adopt agentic AI, autonomous coding assistance platforms that can generate […] The…
Thenovi AI Ltd., also known as Band, has launched a desktop application called Band for Developers, designed to facilitate collaboration and control for multiple AI coding agents. The platform enables software engineers to manage and oversee various coding agents working simultaneously. As developers increasingly adopt agentic AI, the need for tools to manage multiple agents has become more critical.
These coding agents have become more specialized, accessing various parts of the development lifecycle, including coding tools, sessions, machines, validation, testing, and integration. However, individual agents often remain isolated from each other, leading to the need for developers to pass session context and coordinate handoffs to prevent collisions and overlaps.
Band's new desktop application provides a bird's-eye view of all agents working on a project, including projects, ownership, blockers, questions, and progress. This allows developers to switch between high-level views and specific agents when intervention is required, maintaining contextual information within the dashboard.
For instance, if an agent becomes stuck due to another agent's work on a key function, the developer can note that it should wait or allow the waiting agent to proceed with prototyping. This gives development teams greater control over their fleets of agents while staying aware of each agent's status.
According to JetBrains s.r.o.'s Developer Ecosystem Survey 2026, 90% of professional developers use at least one AI coding agent weekly, and 68% use them daily. While adoption of multi-agent systems, or swarms, is harder to measure, other use cases have seen significant growth. Databricks Inc.'s 2026 State of AI Agents report shows a 327% increase in multi-agent workflows from September 2025 to early 2026.
Engineering Manager Amit Gazal emphasized that running more agents is only beneficial if developers can effectively manage the work created by those agents.
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