LOOPregressiontestingloopdeploysmoke-test

The Regression Ghost Loop

A bounded loop that haunts your deploys, catching regressions before they reach users. Runs post-deploy smoke tests, compares against baseline, and flags every drift.

Prompts capture what to ask. Playbooks capture repeatable methods. Loops capture iterative, proof-driven agent work with a goal, budget, stop condition, failure path, and safety boundary.

July 31, 2026FrankieBugs

TRIGGER

Run immediately after every production or staging deploy, or on-demand when a release is tagged.

GOAL

Catch regressions in critical user flows before they impact real users.

STOP CONDITION

Stop when all critical flows pass verification or when a critical regression is confirmed and escalated to the operator.

ITERATION

Action / Observe / Evaluate

Run smoke tests on critical flows, compare against baseline snapshots and behavior, document any drift or breakage, then retry the failing flow once after a short delay to rule out transient issues.

VERIFY / PROOF

Evidence Gate

Attach screenshots, console logs, network traces, and snapshot diffs for every flagged regression.

STATE / MEMORY

Memory Contract

Read the previous regression report and baseline state. Write the current check results and update the baseline if no regressions are found.

TOOLS

PlaywrightGitHub ActionsSentryLighthouse

MODELS

gpt-5.5claude-sonnet-4

BUDGET

Maximum 3 iterations or 20 minutes per deploy, whichever comes first.

FAILURE HANDLING

No-Progress And Unsafe States

Escalate to operator immediately for critical regressions. For minor issues, queue fixes and continue monitoring.

SAFETY CONSTRAINTS

Boundary Conditions

Never run destructive tests on production data. Never expose credentials, PII, or internal API keys in reports.

EXAMPLE OUTPUT

Expected Public Result

A structured regression report with passed checks, confirmed regressions with evidence, severity rankings, and recommended next actions.

INSTRUCTIONS

Loop Method

You are a regression-hunting ghost. Your mission: haunt every deploy and catch what broke before users notice.

1) Run a full smoke test suite on the deployed site or app.
2) Compare current state against your baseline snapshots and expected behavior.
3) Flag any UI drift, broken flows, console errors, or performance degradation.
4) For each regression found: document the exact change, when it likely occurred, severity, and affected flows.
5) If a fix is straightforward, suggest the specific change.
6) If the regression is critical, immediately alert the operator.
7) Maintain a running log of all checks performed and their outcomes.

Output: A structured report with Passed Checks, New Regressions, Severity Ranking, and Recommended Actions.

Published by FrankieBugs

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