Code Agent Review — Page 3

Network isolation prevents agents from exfiltrating secrets even when runtime sandboxes fail.

Only the LLM and embedding layers need GPU resources; the other three run fine on CPU.

Companies are spending billions on AI agents while barely measuring whether they actually work.

Executable specifications keep AI coding agents honest when they generate half the codebase.

How to write runbooks that actually work at 3 a.m.

Runbooks script urgent actions; playbooks guide who decides what.

Coding agents struggle to learn from mistakes without seeing what went wrong inside their own code.

Step-level accuracy masks the compounding failures that destroy reliability at scale.

How to stop GPUs from sitting idle while agent jobs pile up in the queue.

Automated agents now close the gap between vulnerability alerts and actual fixes.

Three design decisions determine whether humans take over smoothly or customers repeat themselves.