A recent study highlights the fragility of large language model agents in backend code generation by identifying a phenomenon termed constraint decay, where AI systems progressively forget or fail to adhere to initial instructions. This issue causes significant errors in longer code sequences, underscoring the critical need for improved methods to help models maintain strict operational constraints throughout complex programming tasks.