I Built a Tool to Manage Multiple AI Agents at Once
Why It Matters
Orchestrating multiple AI agents boosts development throughput while turning engineers into managers, demanding new tooling and reshaping team dynamics.
Key Takeaways
- •Managing multiple AI agents transforms engineers into de facto project managers.
- •Separate git work trees per agent prevent file conflicts on local machines.
- •Tool must be terminal‑based, keyboard‑driven, and integrate with existing agents.
- •Agent Deck provides a dashboard, pane creation shortcuts, and real‑time status.
- •Visibility and quick switching are essential to avoid chaos in parallel execution.
Summary
The video introduces a new workflow where software engineers shift from coding to managing a fleet of AI agents. By running several agents in parallel, developers assume roles traditionally held by project managers, tech leads, and product owners, supervising, directing, and validating work that the agents generate.
To make this model viable, the presenter outlines three core activities—planning, supervision, and validation—and derives concrete tool requirements. Agents must operate in isolated git work trees to avoid file clashes, the orchestration interface should live inside the developer’s preferred terminal, and it must respect existing agent clients rather than replace them. A lightweight, keyboard‑centric dashboard that surfaces each agent’s status, recent prompts, and tool calls is essential for maintaining oversight without constant context‑switching.
The speaker demonstrates "Agent Deck," a terminal‑only application that fulfills those criteria. Using shortcuts like Ctrl‑N to spawn panes and Ctrl‑D to enter command mode, users can spin up multiple agents, assign them distinct branches, and monitor their progress on a single screen. The UI compresses agent cards as the roster grows, ensuring the whole team remains visible at a glance, while still allowing deep‑dive views with automatic log and file monitoring.
The shift toward AI‑agent orchestration redefines engineering work, pushing many developers into managerial functions and prompting organizations to rethink team structures. Tools like Agent Deck enable scalable parallel development, but they also raise questions about the future of traditional management roles and the balance between human oversight and autonomous AI execution.
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