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Definition

Harness Scaling

Harness scaling is the systematic enhancement of the execution and control layer surrounding an autonomous agent without changing its underlying model weights. Rather than replacing model scaling, harness scaling investigates how much of an agent's latent capability can be converted into completed, reliable work by improving runtime mechanisms that maintain durable state, constrain valid execution, verify progress before transitions, and recover from errors.

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Updated 2026-09-29

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Prep Sessions

Engineering State-Bound Execution Runtimes for Autonomous Agents @ University of Michigan - Ann Arbor

Ch.1 Operational Challenges and Systemic Bottlenecks - Engineering State-Bound Execution Runtimes for Autonomous Agents @ University of Michigan - Ann Arbor

Harness Scaling Principles and Execution Bottlenecks - Engineering State-Bound Execution Runtimes for Autonomous Agents @ University of Michigan - Ann Arbor

Epistemic, Procedural-Memory, and Compliance Gaps - Engineering State-Bound Execution Runtimes for Autonomous Agents @ University of Michigan - Ann Arbor

Ch.2 Agent Runtime Design and Execution Framework - Engineering State-Bound Execution Runtimes for Autonomous Agents @ University of Michigan - Ann Arbor

StateM Agent-Native Runtime Architecture - Engineering State-Bound Execution Runtimes for Autonomous Agents @ University of Michigan - Ann Arbor

Long-Horizon Agent Reliability: Stateful Scaffolding and Runtime Verification @ University of Michigan - Ann Arbor

Ch.1 Foundations and Operational Challenges - Long-Horizon Agent Reliability: Stateful Scaffolding and Runtime Verification @ University of Michigan - Ann Arbor

Harness Scaling Foundations and Control Design Space - Long-Horizon Agent Reliability: Stateful Scaffolding and Runtime Verification @ University of Michigan - Ann Arbor

Runtime Verification and Failure Mitigation in Autonomous Agent Workflows @ University of Michigan - Ann Arbor

Ch.1 Execution Lifecycle and Fault Management - Runtime Verification and Failure Mitigation in Autonomous Agent Workflows @ University of Michigan - Ann Arbor

Harness Scaling Principles and Execution Failure Modes - Runtime Verification and Failure Mitigation in Autonomous Agent Workflows @ University of Michigan - Ann Arbor

Adaptive Agent Runtimes: Architecture, Synthesis, and State Control @ University of Michigan - Ann Arbor

Ch.1 Agent Harness Principles and Architecture - Adaptive Agent Runtimes: Architecture, Synthesis, and State Control @ University of Michigan - Ann Arbor

Foundations of Agent Harnesses and Model-Harness Pairing - Adaptive Agent Runtimes: Architecture, Synthesis, and State Control @ University of Michigan - Ann Arbor

Autonomous Agent Control Planes: State Scaffolding and Resilient Execution @ University of Michigan - Ann Arbor

Ch.1 Execution Lifecycle and State Boundaries - Autonomous Agent Control Planes: State Scaffolding and Resilient Execution @ University of Michigan - Ann Arbor

Harness Scaling Foundations and Execution Failure Gaps - Autonomous Agent Control Planes: State Scaffolding and Resilient Execution @ University of Michigan - Ann Arbor

Ch.2 Provider Transfer and Model Hierarchies - Autonomous Agent Control Planes: State Scaffolding and Resilient Execution @ University of Michigan - Ann Arbor

Model-Distance Hierarchy and Cross-Provider Transfer - Autonomous Agent Control Planes: State Scaffolding and Resilient Execution @ University of Michigan - Ann Arbor

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