A cybersecurity researcher chronicles their year-long journey using LLMs for security research, from a failed 2023 bug-hunting attempt with Code Llama to successful vulnerability analysis with advanced models by 2025. The evolution was enabled by stronger models, longer context windows, and mature agent workflows that transformed LLMs from pattern-matching tools into practical research assistants.