Our plan for running 100 Parallel Coding Agents

Superset is currently capable of managing 5-7 coding agents in parallel but aims to handle 100 by 2026. The main challenge in scaling up is not the computational resources, which are affordable, but the human involvement required in reviewing and guiding the agents. To address this, the company proposes reducing human intervention by implementing layers that vet an agent's work before it reaches a human, using adversarial agents to enforce quality checks, and employing long-running agents capable of iterative problem-solving. By developing agent-driven user interfaces and enhancing existing tools, Superset seeks to streamline the process, allowing humans to focus on final reviews rather than initial checks. Additionally, the company explores proactive agent workflows that automatically respond to events and execute predefined tasks, thereby reducing the need for human-driven planning and interaction. This approach aims to minimize the time humans spend per agent interaction, making the process more efficient and scalable.

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