Researchers are developing autonomous agents capable of replicating complex scientific experiments. These systems use LLMs to parse papers and execute code in sandboxed environments. While early results show promise in basic chemistry, high-level reasoning remains a bottleneck. Practitioners should focus on improving the reliability of tool-use for automated hypothesis testing and verification.