A Self-Improvement Loop for Agents: Daily Rubric Grading Auto-Opens Fix PRs
Roger_M_Taylor · x · 2026-08-25
The author describes a self-improvement loop for AI agents:
- Define a grading rubric for the part of your product that matters most—what counts as a good vs. bad interaction.
- Every day an automation pulls that day's interactions.
- Each one is graded against the rubric.
- Anything below the score threshold spawns a child session to fix it.
- That session opens a PR.
Once you ship the PR, the next day the automation grades a better version against the same rubric—that's the loop. The author ships 3 of these daily, mostly small UX issues he'd otherwise skip as "paper cuts," now already written and ready to go.
Key advice: focus on dialing in the rubric, because that's how your judgment becomes scalable.
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