A new paper proposes Proof-or-Stop, a loop-engineering framework for autonomous coding agents. Instead of trusting an agent’s self-reported progress, the system requires evidence before lifecycle states such as implemented, reviewed, or tested can advance.
That idea is directly relevant to production software teams experimenting with coding agents. As agents take on longer tasks, organizations need controls that prevent silent failure, skipped verification, and misleading status updates.
The framework points toward agent workflows where proof artifacts, tests, and review signals become first-class parts of automation rather than optional follow-up steps.