Engineering Reliability into AI Agent Code Generation. Part III

Automated excerpt

Correlated agents break the independence assumption. Agents running on the same model do not give you that: an agent is stochastic — the same input yields different outputs run to run — but every run samples the same trained distribution, so the errors correlate even while the text varies. A retry must change something that matters — first a contrarian pass that must argue against the prior attempt's approach, then a different model — because re-running the same model on the same context mostly reproduces the same failure.

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