The Red Line Principle: objective stop signals outperform LLM self-judgment in verifiable tasks

Short summary

Experiments show that objective stop signals (compilation + test pass) dramatically outperform LLM self-judgment for agent loop convergence in verifiable code tasks. With a red-line check, 9/9 trials converged; with self-judge only, 2/9 converged and 4 exhibited false negatives where correct code was never trusted. The author cautions N=3 is directional only and the principle applies solely to tasks with objective verification standards.

• •Objective red-line stop signals beat LLM self-judgment 9/9 vs 2/9 in code-generation agent loops
• •Self-judge failure mode is false negatives: model writes correct code but never triggers stop
• •Scope limited to verifiable tasks; open-ended semantic tasks lack automatic convergence signals

Generated with AI, which can make mistakes.