LOOPtestinge2eevaluation

The Full Site Evaluation Loop

A comprehensive end-to-end testing loop that inventories every user-facing surface, finds bugs holistically, and verifies fixes across the full product.

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.

June 26, 2026FrankieBugs

TRIGGER

Run before major releases, after significant refactors, or on a scheduled cadence for critical sites.

GOAL

Produce a complete evaluation report with all verified bugs fixed and regression coverage in place.

STOP CONDITION

Stop when full inventory passes with no new bugs, or when blocked by approval, access, or environment.

ITERATION

Action / Observe / Evaluate

Inventory surfaces → test realistically → log bugs with evidence → group by root cause → fix holistically → add regression tests → rerun full inventory.

VERIFY / PROOF

Evidence Gate

Full inventory rerun must pass cleanly. Screenshots, test results, and bug reproduction evidence required.

STATE / MEMORY

Memory Contract

Read prior evaluation reports and bug logs. Write current findings, fixes, and verification results.

TOOLS

PlaywrightBrowserGit

MODELS

Not specified

BUDGET

Three full iterations or until clean pass, whichever comes first.

FAILURE HANDLING

No-Progress And Unsafe States

Escalate to operator when blocked by access, when bugs exceed fix capacity, or when root cause analysis stalls.

SAFETY CONSTRAINTS

Boundary Conditions

Never test against production with destructive actions. Never expose credentials, private data, or session tokens in reports.

EXAMPLE OUTPUT

Expected Public Result

Evaluation complete: 47 surfaces tested, 12 bugs found (3 root causes), 9 fixed, 3 deferred with rationale. Regression suite: 23 tests. Verification: PASS.

INSTRUCTIONS

Loop Method

Run a complete end-to-end evaluation of the target site or application.

1. INVENTORY: Map every user-facing feature, route, button, input, modal, state, and workflow. Document acceptance criteria and finite risk-based edge cases for each.

2. ENVIRONMENT: Build sanitized, production-like local data under realistic settings. Match production constraints as closely as possible.

3. EXECUTE: Test as a real user would—no shortcuts, no assumptions. Use fresh browser sessions (no saved login, cookies, or site data). Log every bug with reproduction evidence: steps, expected behavior, actual behavior, screenshots, and environment details.

4. ANALYZE: Review findings for shared root causes and dependencies. Group related issues into patterns rather than fixing symptoms in isolation.

5. FIX: Implement coherent fixes with regression tests. Never fold unrelated refactors into the same patch.

6. VERIFY: Rerun the full inventory. Keep only regression-free changes. A new failure resets the verification count.

Stop at a clean pass, blocked handoff, or exhausted budget. Ask before production, sensitive data, or destructive actions.

Published by FrankieBugs

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