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Description
Objective
Enhance the Ralph Loop workflow to persist learnings between iterations, similar to Ralph's progress.txt and AGENTS.md updates.
Context
A key feature of Ralph is that learnings from each iteration persist and inform future iterations. This includes both progress.txt (append-only log) and AGENTS.md updates (discovered patterns and conventions).
Approach
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Update
.github/workflows/ralph-loop-basic.mdto:- Append learnings to
progress.txtafter each iteration - Extract key learnings from AI responses
- Update relevant AGENTS.md files with discovered patterns
- Commit progress.txt and AGENTS.md changes
- Append learnings to
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Add logic to extract learnings:
- Code patterns discovered
- Gotchas encountered
- Useful conventions
- Test patterns
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Format progress.txt entries with timestamp and iteration info
Files to Modify
.github/workflows/ralph-loop-basic.md- Add learnings persistenceexamples/ralph/README.md- Document learnings feature
Acceptance Criteria
- Workflow appends to progress.txt after each iteration
- Each entry includes timestamp and iteration number
- Workflow updates AGENTS.md with discovered patterns
- Learnings are extractable and well-formatted
- Git commits include both progress.txt and AGENTS.md changes
Related to Add Ralph Loop examples for agentic workflows #11132
AI generated by Plan Command for #11132
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