A Dual-Helix Governance Approach Towards Reliable Agentic AI for WebGIS Development

Researchers propose a dual-helix governance framework to address AI agent reliability issues in WebGIS development, implementing a 3-track architecture that achieved 51% reduction in code complexity. The framework uses knowledge graphs and self-learning cycles to overcome LLM limitations like context constraints and instruction failures.