Comment by try-working
2 months ago
most codebases dont have traces to train on. if you use rlm-workflow you will build up rich traceability in the form of requirements, plans, implementation artifacts, along with worktree diffs. with these, you can then use self-distillation on models or use autoagent to improve your harness. https://github.com/doubleuuser/rlm-workflow
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