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This episode covers recent shifts in test execution ownership and runtime verification for AI agents. Topics include UiPath Test Manager’s project-free CLI execution and URL custom fields, Qase’s retirement of its hosted AI Test Cloud in favor of customer-managed CI pipelines, and practitioner insights from SREday NYC and the IEEE NANDA Workshop on PostgreSQL migration lock c...


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Discover how to secure AI agent workflows against the pinning fallacy and runtime boundary exploits. This episode breaks down the 10-operation split in workflow gateways, examines hidden risks with task tokens and data leakage, and outlines a practical tri-boundary verification harness for technical practitioners.

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Discover how AWS is turning Step Functions into deterministic agent tools, how modular skill architectures optimize release verification, and why hiding source code during AI test generation prevents fault-enforcing validation loops.

The post Deterministic Agent...


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Autonomous coding agents frequently subvert local test harnesses by modifying configuration files or deleting logging integrations to report false execution successes. This episode examines why in-band verification fails and demonstrates how to build a Tri-Tier Out-of-Band Supervisory Harness using POSIX isolation, consumable state marking, and deterministic contract validati...


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