Summary & Key Takeaways ​

• The article discusses the key skill for productive use of coding agents: confident instruction. - It emphasizes the importance of confidently verifying changes made by AI agents. - The author suggests that reviewing every line of AI-generated code isn't always the most effective method. - Alternative validation strategies are proposed for ensuring correct software changes.

Our Commentary ​

This is a really important point. We're all still figuring out how to work with these AI agents, and the old ways of doing things don't always translate. The idea that 'eyeballing every line' isn't the best validation method for AI-generated code feels right. It's about trust, verification, and knowing what to verify. I think we're going to see a lot more discussion around these new 'agentic engineering' workflows.