Cursor rule soft-routes subagents by task complexity
Tibor (@tibor_tee) detailed a custom rule configuration in Cursor that enables the main orchestrator agent to dynamically assign subagents to one of two AI models based on task complexity. This soft routing pattern automates model selection per task, ensuring complex problems receive higher-capability models while routine tasks use lighter ones, reducing repetitive manual switching.
Prompt-based soft routing is a clever, low-overhead strategy to optimize AI model selection in multi-agent coding workflows.
• Dynamic model assignment balances completion quality and performance without needing hardcoded agent definitions.
• Leveraging orchestrator rules eliminates repetitive prompt instructions across complex coding sessions.
• Reflects a broader shift toward developers writing meta-rules to build more autonomous, cost-effective agent systems.
DISCOVERED
2h ago
2026-07-23
PUBLISHED
3h ago
2026-07-23
RELEVANCE
AUTHOR
tibor_tee