According to @godofprompt on Twitter, Anthropic engineers have implemented a 'memory injection' technique that significantly enhances large language models (LLMs) used as coding assistants. By pre-loading context about user workflows, coding styles, and preferences across conversations, LLMs deliver up to 3x better performance compared to starting each session fresh. This approach allows AI systems to consistently apply user preferences—such as Python version, use of type hints, programming paradigms, and error handling—across all interactions, resulting in more personalized and efficient coding assistance (source: @godofprompt, Jan 10, 2026).