There isn't a magic fix but there are many practices that can help - this is an issue i think about frequently because its multifaceted. You don't need to learn how to code but what you should do is learn how to understand every aspect if your system just like you would understand every aspect of your business. You may not be doing every job but you should probably grasp the concept enough that you can explain it to your employee - the ai agent. Context is the biggest challenge is most cases and there are many tools and habits you can practice to help with that - but another big problem IMO is mental fatigue - working with ai wears us down and we have less and less bandwidth as time goes on - our input tolerance and accuracy fades and ai's output deteriorates right along with it. Claude is desperate to solve problems and is happy to fork its own path so a lot of being a good partner is basically playing a support role to the ai. You're responsible for understanding the entire project from a high level overview, you're responsible for ensuring the AI keeping track of what its doing, documenting and keeping version history, you're responsible for ensuring if theres a catastrophic failure its a non issue. AI empowers us to do things we really shouldn't be able to, yet here we are. If you're taking on a task that would generally require someone to dedicate a significant portion of their life to a craft - but in a month - there will be some serious pains along the way - but hey you can fly! The best advice I can give is utilize AI to explain everything to you that you dont understand, it will fill in the gaps (even if it will forget it did shortly after) then you are its context window - simplify concepts and prove them - don't hold on to failed iterations. Learning is failure and extracting the knowledge Anticipate failure crave failure it is our only teacher on the frontier