codex - 💡(How to fix) Fix Discussion: Can AI Coding Agents Be Truly Trustworthy Without Verifiable Runtime Environments?

As coding agents become increasingly autonomous, most discussions focus on: model capability reasoning quality tool use repository access task completion However, a deeper question may emerge: How do we verify the execution environment itself? For example: Can developers verify what code was actually executed? Can runtime behavior be reproduced deterministically? Can multi-agent coordination be independently verified? Can execution integrity be proven rather than inferred? Current approaches often assume trust in: operating systems runtime environments infrastructure layers external monitoring systems As AI agents gain greater autonomy and begin operating across repositories, cloud environments, and critical infrastructure, will runtime trust become a first-order systems problem? Curious how others think about the future relationship between: AI capability vs verifiable execution. Interested in perspectives from: AI agent researchers distributed systems engineers security researchers infrastructure architects