I’m currently demonstrating to our org how we can use AI in an almost end-to-end development workflow, rather than just using it piecemeal. In my first version of my Claude workflow, I provided a comprehensive low-level design to Claude, which then generated the coding artifacts. This effectively allowed me to use something like Miro to develop a feature, with AI turning the design into implementation. The downside was that it still required a lot of manual iteration with Claude after the initial generation. It was also difficult for the team to review all the resulting changes. So I redesigned the workflow to have AI also review my design, plan the implementation and tests, implement and write tests, and then review the resulting code. This has worked surprisingly well, although it consumes a lot of credits since I need to use Opus for the main orchestration. My long-term goal is to move toward specs-driven development. That’s not really feasible yet because we’re working with a proprietary platform, so the AI doesn’t have enough knowledge of the constraints and conventions it needs to account for when developing the design. I’m curious how embedded AI is in your development workflow at work. What is your workflow like? submitted by /u/mh711
Originally posted by u/mh711 on r/ClaudeCode
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