Planning Architecture & Workflows for New AI-Assisted Projects
Apologies if this has been covered before, but I’m curious about best practices for planning. I’ve been working on a project for my business, and as the complexity increased, I found myself having to retrospectively modify my workflows—not a huge problem since most of the work was done via Claude Code or chat, but it got me thinking. My challenge: I wanted a much clearer picture of the architecture and workflows upfront, rather than discovering gaps and making changes as the project evolved. My questions for the group: • When starting a new project, how do people typically plan out their architecture and workflows? Do you sketch things out manually first, or work through the design in chat with Claude? • Is there a recommended structure or approach that helps reduce the need for retrofit changes later? • What’s proven most efficient for you—getting the full picture mapped out at the outset vs. an iterative approach? I’d be interested to hear how others approach this, especially if there are patterns or frameworks that result in a closer match between initial design and final implementation.