Runtime reliability for autonomous coding agents

[ishita-0301]

While looking into tools around autonomous coding agents, I came across FailproofAI: https://github.com/FailproofAI/failproofai.

What caught my attention is that it focuses less on prompting and more on what happens during execution. For example, detecting when an agent is stuck repeating the same action or preventing certain classes of runtime failures before they spiral.

As coding agents like Codex take on longer and more complex tasks, I wonder if this kind of execution layer will become as important as the model itself.
Curious if anyone here is already using similar guardrails or has run into these kinds of issues.