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Agent Infrastructure: harnesses, durable workflows, and runtime checks

Introducing Dynamic Workflows: durable execution that follows the tenant. Cloudflare routes durable workflow execution to tenant-specific runtime code, enabling sandboxed, per-tenant durable processes for agents. Outcome engineers gain a practical pattern for tenant isolation and durable state management that makes long-running agents observable and safe — aligns with Principle 07 (Build the Island) and Principle 06 (Legible Landscapes).

Cursor’s $60 billion bet: the harness, not the model. Cursor bets on a model-agnostic agent harness and SDK that turn cloud VMs into developer primitives, emphasizing the harness over base models. Treating harnesses as first-order artifacts shifts where you invest: orchestration, retries, telemetry, and SDK ergonomics matter more than chasing tiny model wins (Principle 09).

Reinforced Agent: Inference-Time Feedback for Tool-Calling Agents. Apple embeds a reviewer into the inference loop to detect and correct tool-calling errors in real time. This gives a concrete runtime-validation pattern to reduce failed actions and tool-misuses — a practical application of Principle 14 (Immune System) and Principle 16 (Validation).

Salesforce launches Agentforce Operations to fix the workflows breaking enterprise AI. Salesforce introduces a deterministic workflow control plane so agents execute predictable, observable tasks instead of breaking fragile back-office processes. Use control planes like this to enforce idempotency, approvals, and audit trails when you scale agentic workflows (Principle 09 and Principle 15).

AI agents are running wild on developer machines. Incredibuild has a fix.. Incredibuild’s Islo isolates AI coding agents in persistent cloud sandboxes and enforces scoped credentials and governance for continuous, secure agent operation. Adopt sandboxed persistence and credential scoping to stop runaway agents and reduce supply-chain risk — direct implementation of Principle 07 and Principle 10.