How Ralph makes Claude Code actually finish tasks
SMRTR summary
Agentic AI systems like Claude Code suffer from a completion problem - they continue refactoring and adding features indefinitely because they lack clear "done" signals. Ralph addresses this by adding exit gates and circuit breakers, but prompt specificity remains the key factor. Testing three scenarios shows that vague prompts create scope creep while explicit exit conditions produce focused, efficient results.
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