Continuous Validation
Validation Continues in Production
A pre-release operating profile is never complete. Release controls continue validation under real conditions without treating every user as a test subject:
- shadow mode runs a new agent against real inputs without performing side effects
- canaries expose a small, reversible portion of traffic to a new version
- telemetry measures task success, latency, cost, recovery behavior, policy violations, and user corrections
- sampled review sends representative and anomalous traces to LLM judges and people
- rollback limits the cost when evidence contradicts the release claim
Confirmed production failures and newly observed usage belong in the operating profile and regression corpus. Field signals are not post-launch anecdotes; they are the next input to validation. This is where product managers and operations engineers feed real behavior back into the validation loop — the profile grows more accurate with every confirmed incident.
Interpret the Evidence, Then Choose the Repair Loop
Validation should change the workflow, not merely attach a score to it.
| Finding | Next move |
|---|---|
| A local defect or missing known edge case | Fix the bounded unit and revalidate |
| The agent missed a codebase fact, API, or constraint | Re-ground |
| The solution shape or sequencing is wrong | Re-plan |
| One candidate is noisy but the target is clear | Generate independent candidates and judge them with independent evidence |
| Evidence conflicts or the consequence is high | Add a human checkpoint |
| Exploration or field telemetry finds a confirmed failure mode | Encode it as a deterministic regression check and update the profile |
This maps directly to the controls in Reliability Levers: improve context for missing facts, change orchestration for bad work shape, retry independently for noisy generation, and use human checkpoints to stop a bad assumption from propagating.
Key Takeaways
- Release continues validation. Canary exposure, telemetry, review, and rollback update the operating profile after launch.
- Field signals are validation inputs, not post-launch anecdotes. Confirmed production failures and newly observed usage belong in the operating profile and regression corpus.
- Validation should change the workflow. Map each finding to the right repair loop — re-ground, re-plan, generate-and-judge, add a human checkpoint, or encode the finding as a deterministic regression.