Yes, this one is true. Most of the orgs focus on delivery but keep forgetting what they are losing.
The verification of the software is most important aspect and we do not have any solid way to do that using AI. The loss of comprehension and context makes the developer to have blind spots and it would show in the degrading quality of software as we move forward.
This is something about human outlook that AI could not replicate.
Claude Code kinda tools are fundamentally local processes. Powerful, but if your laptop sleeps or the process crashes mid-task, you restart from scratch. Making the agent a durable, addressable unit on the network changes that. The runFiber() checkpoint pattern means a 30-minute multi-step task survives a restart with state intact, not just the conversation history.
The verification of the software is most important aspect and we do not have any solid way to do that using AI. The loss of comprehension and context makes the developer to have blind spots and it would show in the degrading quality of software as we move forward.
This is something about human outlook that AI could not replicate.