Ship Signals

Determinism Controls in Agent Replay Environments

Recording every interaction is the only reliable way to make agent behavior reproducible.

Ruth Ashworth

Editor at Large · September 24, 2026 · 10 min read

Curation discipline and structural completeness determine whether replay suites catch real failures.

Hassan SørensenSeptember 23, 202610 min read

Testing agent changes against real production failures catches what synthetic tests miss.

Theo WhitfieldSeptember 22, 20268 min read

Autonomous agents can execute destructive actions faster than incident freezes can stop them.

Vera CostaSeptember 21, 202610 min read

Agents return success codes while failing silently, requiring layered failure definitions.

Kai ContrerasSeptember 20, 202612 min read

Rigorous sign-off requires tracing failures to their actual cause, not guessing from logs.

Diego MarchettiSeptember 19, 202612 min read

Skipping root cause analysis before deploying leaves the actual fault untouched.

Maya YamadaSeptember 18, 202611 min read

Rollback decisions require evidence from specific system layers, not gut instinct.

Camille WhitfieldSeptember 17, 202612 min read

Harness defects cause 65% of AI agent failures—treat each release layer as its own gated decision.

Ruth AdeyemiSeptember 16, 202611 min read

Prompt changes need the same rigorous testing as any other code before shipping.

Mateo NairSeptember 15, 202614 min read

Start from production traces, not hand-written tests, to catch real agent failures.

Lucia SørensenSeptember 15, 202613 min read