I’m building Superdense, an open-source local outcome loop for Claude Code/Codex/coding agents. Most agent workflows stop at: prompt → output Real work needs: hypothesis → output → result → next attempt I’m using it for X/GitHub growth. Agent suggests replies/posts. I publish. Outcomes come back: views, clicks, stars, repo traffic. The next run uses that feedback. Not memory. An agent improving against a real outcome. Possible loops: GitHub stars landing page conversions website traffic outbound replies content performance Repo: https://github.com/Nimrobo/superdense What outcome would you want your agent to loop on? submitted by /u/Grouchy-Theme8824
Originally posted by u/Grouchy-Theme8824 on r/ClaudeCode
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