Agents at Work: Sandboxing, Context, Blueprints, VSDD, and Explainers
Don’t trust AI agents argues you must assume agents are malicious and enforces per-agent ephemeral containers, read-only mounts, and mount allowlists to contain damage. Outcome engineers should bake defense-in-depth into agent runtimes and orchestration—isolate agents, minimize privileges, and plan for cross-agent leak containment (Principle 07/10).
Stop Burning Your Context Window — How We Cut MCP Output by 98% in Claude Code demonstrates “Context Mode” that sandboxes tool outputs and indexes content, reducing tool-output context by 98% and extending session runtime tenfold. Use this technique to compress and index agent outputs, keep sessions long-lived, and avoid blowing context budgets when building multi-step agent workflows (Principle 06/07).
NVIDIA Advances Autonomous Networks With Agentic AI Blueprints and Telco Reasoning Models open-sources a Nemotron telco reasoning model and provides agentic blueprints to accelerate autonomous, energy‑efficient network orchestration. Blueprints and domain reasoning models give outcome engineers reusable orchestration patterns and models to bootstrap production agentic systems and reduce integration risk (Principle 09).
Verified Spec-Driven Development (VSDD) proposes fusing specs, TDD, and adversarial verification into an AI-orchestrated pipeline with humans as the final acceptance authority. Adopt VSDD patterns to make agent outputs verifiable and auditable—write executable specs, let agents implement and adversarial-test, and keep humans as the gate for shipping (Principle 06/14/15).
Interactive explanations presents animated, interactive demos that expose how agent-generated code works, turning opaque outputs into inspectable artifacts. Ship explainability as artifacts so teams and auditors can inspect agent decisions and reduce cognitive debt when accepting agent-produced deliverables (Principle 08/13).