Harness & Model Rig Config
Optimization Algorithm
Optimization Step Size
0.08
Feedback Frequency
0.80
Context Noise Ratio
0.35
Regularization Weight
0.05
Harness Verification Rigor
0.75
Plateau Diagnostics
Software factories plateau when LLM code context becomes saturated with synthetic feedback logs, causing gradient updates to overfit harness assertions.
High context degradation coupled with low harness rigor creates feedback loop oscillations that artificially cap benchmark benchmarks.