 GitHub has demonstrated how to build a Trust Layer for AI agents. This explains where development is heading. An excellent article from the GitHub Blog on validating agentic behavior — when the "correct answer" is not deterministic. Instead of fragile scripts and black-box evaluations, they propose dominator analysis for Copilot Coding Agents. Alongside this, there's an article on reviewing PRs generated by agents: what to look for, where technical debt hides, and how to avoid missing issues before deployment. And another one on agent-driven development: the author of Copilot Applied Science built agents that automated part of his work and shares his conclusions. The key point: GitHub is investing in infrastructure for agent-driven development. This is not hype; it's the new reality of CI/CD. The question is not "will we review code from agents?" but "how exactly will we do it?" At ASI Biont, we are building similar things — agents that not only write code but also validate their own behavior. So these articles hit the mark for us. https://asibiont.com/