Tech review consumes 1 million tokens for passes 2 and 3 over 2 tickets in a batch for limited benefit.
Tech review iteration loop — diminishing returns
Both tickets followed the same pattern: iteration 1 returned MEDIUM with critical+significant issues, fixes were applied, iteration 2 returned MEDIUM with only SME/process items remaining, iteration 3 returned MEDIUM with the same SME/process items.
Iterations 2 and 3 consumed ~250k+ tokens each ticket for essentially zero incremental improvement. The reviewer correctly identified in iteration 1 that the remaining issues "require SME input and cannot be fixed by editing docs."
Suggested fix: Add an early-exit condition to the orchestrator's iteration loop: if the reviewer reports MEDIUM with zero critical and zero significant issues, treat it as acceptable without further iterations. The current logic only checks the confidence label, not the severity breakdown.
Tech review consumes 1 million tokens for passes 2 and 3 over 2 tickets in a batch for limited benefit.
Tech review iteration loop — diminishing returns
Both tickets followed the same pattern: iteration 1 returned MEDIUM with critical+significant issues, fixes were applied, iteration 2 returned MEDIUM with only SME/process items remaining, iteration 3 returned MEDIUM with the same SME/process items.
Iterations 2 and 3 consumed ~250k+ tokens each ticket for essentially zero incremental improvement. The reviewer correctly identified in iteration 1 that the remaining issues "require SME input and cannot be fixed by editing docs."
Suggested fix: Add an early-exit condition to the orchestrator's iteration loop: if the reviewer reports MEDIUM with zero critical and zero significant issues, treat it as acceptable without further iterations. The current logic only checks the confidence label, not the severity breakdown.