Reliable AI Coding for Unreal Engine: Improving Accuracy and Reducing Token Costs

Agentic AI coding assistants are increasingly used in game development, but they often fail in large Unreal Engine codebases due to a 'context gap' — missing engine conventions, branch differences, and studio-specific patterns. The post outlines a three-tier approach: individual developers benefit from documentation-aware code generation; teams can use a Cursor + Visual Studio hybrid workflow for multi-file editing with a quick setup guide; and enterprises need production-grade retrieval infrastructure using AST-based chunking, hybrid search via NVIDIA NeMo Retriever NIM, and GPU-accelerated vector search with cuVS. Model Context Protocol (MCP) is recommended for standardizing agent tool access, with fine-tuning as a final multiplier once retrieval is solid.