Engineering Blog for High Performance Insights

AI-Augmented Testing: Understanding Its True Value AI can now write, run, and repair test suites at an unprecedented scale. However, the crucial question remains: what do these tests truly prove? While AI can boost coverage and velocity, the real challenge is understanding the implications of a passing test when generated by a machine. AI-driven testing adoption has increased, with significant improvements in speed and efficiency. However, a test should assert intended behavi

MANAGEMENT BRIEF: In this article we look at how to instrument Minimum Viable Governance for AI in OT Environments. Understanding Minimum Viable Governance In today's fast-paced technological landscape, governance is essential. It ensures that AI systems operate effectively and ethically. Minimum Viable Governance (MVG) provides a framework for managing AI development. This approach balances innovation with risk management. MVG focuses on core principles. These principles gu

EXECUTIVE BRIEF: Agentic AI TCO - Separating Signal from Hype. The real cost of AI assisted software and firmware development. Executive Summary Agentic AI in software development is generating genuine productivity gains — and a wave of canceled projects, inflated cost structures, and governance gaps that vendors have little incentive to advertise. This briefing cuts through both the skepticism and the hype to provide a pragmatic ROI framework for engineering leaders evalu

EXECUTIVE BRIEF: In April 2026 Uber deployed AI experienced unanticipated token usage costs with AI generated code. When Uber rolled out an autonomous AI coding assistant to boost developer productivity, engineers embraced it heavily, using it to write up to 70% of new code. However, because the agent ran persistent, multi-turn reasoning loops, expensive usage fees accumulated rapidly. By April 2026, Uber had exhausted its entire annual AI budget. The hidden realization was