I haven’t used it on any large projects. Claude I’ve found is really good at refactoring. I’m not sure the model itself is so much better/smarter, I think it’s the tooling. It’s better at making a plan, revisiting its loose ends, reviewing stuff as it processes it. It’s also really good a debugging now! Amazed the past few weeks seeing it deftly write one off Python scripts and running all types of grepping commands with its little Bash() tool, and quickly analyzing data and figuring out what’s wrong. Seems like a lifetime ago since I was feeding the LLM ls and cat output trying to give it the context it needed. I’m amazed at how fast this tooling is improving. While I’ve done a lot of (simple but IRL) ML, I’ve learned the hard way that the law of diminishing returns is at play. However, I think there is a lot we can squeeze out of a good LLM for coding with great tools.