Rule Engine + LLM Hybrid Architectures for Safer Code Generation

AI-generated code is fast but notoriously unreliable, prone to hallucinations and security risks. This article proposes a hybrid architecture combining the creative power of LLMs with the deterministic precision of rule engines. By using rule engines to validate LLM output and provide a feedback loop, developers can ensure AI-generated code is safe, compliant, and ready for production. A practical Java example and real-world tips are provided.