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The Determinism Trade-off in Building AI Agents

LLMs are stochastic. By extension, Agents should be too. In practice, are they? If I have Codex scan a codebase for bugs, will it uncover the same bugs and miss the same bugs every single time? Temperatures are low for a reason. When you build agents, you’re navigating the tension between determinism (inherently non-agentic, incapable of performing many high-value tasks) and non-determinism (inherently unpredictable, and impossible to trust). Your agent is only as good as you manage this tension. Anyone building in this space?

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