Hamza Tahir distinguishes a read-only execution trace from the code, files and runtime variables needed to resume an agent. Checkpoints preserve execution state at meaningful decision boundaries, allowing a team to reuse an earlier prefix while testing a changed model or tool response.
Hamza Tahir demonstrates this approach with Kitaru and a support-agent scenario. Forked runs change model selection or mock a policy lookup, then compare decisions and generated artifacts against a baseline. The example treats escalation and sensitive customer requests as decisions to inspect, not as authority that an evaluation grants automatically.
Hamza Tahir expands the analysis from one anecdote to cohorts of expensive, slow or risky production runs. Replaying these cases supports cost and behavior comparisons, but a cheaper run is not necessarily a safe replacement. Expert review and explicit human escalation remain important before deployment.
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