The field of code generation and translation is moving towards increased use of large language models (LLMs) to improve accuracy and efficiency. Researchers are exploring new approaches to ensure the correctness of generated programs, such as constrained decoding algorithms and multi-agent frameworks. These innovations have the potential to significantly impact areas like robotics and legacy system modernization. Notable papers include: Correctness-Guaranteed Code Generation via Constrained Decoding, which presents a novel decoding algorithm for generating semantically correct programs. RepoTransAgent: Multi-Agent LLM Framework for Repository-Aware Code Translation, which proposes a multi-agent framework for repository-aware code translation and achieves significant improvements over state-of-the-art baselines.