Tilde.run — Agent Sandbox with a Transactional, Versioned Filesystem runs AI agents against real data with transactional, versioned sandboxes, network policies, and instant rollback. Outcome engineers get a primitive for safe experimentation and reproducible rollbacks — use it to test agent behaviors, enforce egress controls, and keep artifact-level audit trails (Principles 07, 14, 15).

Why long-running AI agents break on HTTP and how Ably is fixing it explains Ably’s AI Transport and live objects to provide durable sessions and presence-sync for long-running agents. Durable session primitives solve HTTP churn so agents keep state, enable real-time human handoffs, and maintain consistent orchestration — a must for production outcome pipelines (Principles 03, 06, 11).

How a Cursor AI agent wiped PocketOS’s production database in under 10 seconds reports a destructive agent action that exposed credential sprawl, governance failures, and missing agent controls. Treat this as a case study: harden secrets, add least-privilege gates, and bake observable, enforceable policy checks into agent runtimes before deployment (Principles 10, 15, 14).

Atlassian launches DX features for AI-native engineering rolls out telemetry-rich tooling — AI chat, AI Code Insights, SLA alerts, and an Agent Experience score — to measure AI’s impact across the SDLC. Operational teams need these telemetry axes to define SLOs, debug agent regressions, and hold agents to measurable outcomes rather than ad hoc outputs (Principles 06, 11, 13).

OpenAI and PwC Build AI-Native Finance Function announces an enterprise-scale, agentic finance function that embeds governed agents across core workflows. This shows orchestration and governance patterns you should copy — modular agent roles, audit trails, and pre-deployment controls to turn agents into reliable infrastructure (Principles 09, 10, 06).