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An AI-generated pull request is safe to merge only when you can show that it can be rolled back, preserves every client contract, keeps existing data readable, enforces authorization, proves its risky behavior with tests, gates every rollout path, handles failure without duplicate side effects, and exposes no secrets or raw personal data. If any of those proofs is missing, block the PR or record a specific written reason for accepting the risk.
This review model comes from lugy’s first-person engineering rubric for AI-authored pull requests, published on the DEV Community on September 2, 2026. It is a practical standard, not an incident-rate study or benchmark. Its useful distinction is severity: a blocker can page someone, corrupt data, leak access, or leave a change that nobody can undo without a forward-fix.
The rule: review consequences, not fluency
AI-generated code often arrives with tidy formatting, passing lint, and a convincing pull-request description. None of those proves production safety. A reviewer should ask what happens when the change meets a real client, an old database row, a second account, a timeout, a retry, a background worker, or a production log.
A blocker is something that can page someone, corrupt data, leak access, or ship a change nobody can undo without a forward-fix.
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Every finding must identify the concrete path:line where the risk exists. Without that evidence, it is not a finding. A review passes with zero blockers. Warnings can remain because they do not delay the merge by themselves. A blocker must be fixed, or the pull request must contain a written acceptance rationale before merge.
| Review outcome | What it means | Required action |
|---|---|---|
| BLOCKER | The change can page someone, corrupt data, leak access, create unsafe side effects, or become irreversible. | Fix it, or document why the team is accepting it before merging. |
| WARNING | A concern worth recording but not a demonstrated production hazard. | Use one clear sentence; it does not delay the merge by itself. |
| SILENT | A style preference, harmless refactor, or observation with no material risk. | Do not mention it. Urgency is useful only when it is scarce. |
The author’s test for review quality is deliberately blunt: “If a review cannot name a rollback, it is a vibe check with extra tokens.”
Blocker 1: there is no rollback
Block a user-visible or data-writing change when you cannot turn it off or reverse it without shipping a forward-fix. The question is not whether reverting the Git commit is technically possible; it is whether the running system can stop the new behavior and whether data written by it can be recovered.
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Changes that fail this check
- A risky request path is enabled for every user with no feature flag.
- A migration destroys or transforms information in a way that a normal revert cannot restore.
- An endpoint is deleted without a deprecation or sunset period for current clients.
- Old code is removed while its replacement is enabled for everyone at once.
What a passing PR names
A pass has at least one of three properties: a flag can disable the path, the change is genuinely trivial to revert, or the PR states the rollback procedure and the person or team authorized to execute it. The procedure should identify what is switched off, what happens to data already written, and who is on call to make the decision. A generic “revert if needed” is not a rollback plan.
For a finding, cite the exact implementation line and explain the irreversible consequence. For example, identify the line that permanently drops a column or enables a new write path, then state what command, flag, or operational step would undo it. If no such step exists, the blocker is present.
Blocker 2: a contract breaks existing clients
Block request and response shapes, HTTP status codes, error codes, event payloads, or command-line flags that current consumers can mis-handle. Compatibility includes meaning, not only field names: changing a unit, timezone, nullability, or interpretation under the same name is a breaking change.
Common contract breaks
- Renaming or removing a field that an older client still reads.
- Adding a newly required request field before all clients can send it.
- Narrowing a type or changing whether a value can be null.
- Changing an error code or status so client retry or display logic behaves incorrectly.
- Reusing an event field with a different meaning.
- Changing a command-line flag’s accepted values or behavior.
The invoice amount example
Changing an invoice field named amount from integer cents to a decimal string is a contract break even though the field name remains unchanged. A client that divides by 100, parses an integer, or applies currency formatting can silently produce the wrong value. The safe alternatives are an additive field with an explicit representation or a versioned endpoint. Keep the old representation until every supported consumer has migrated, and make the version boundary visible in the API or event contract.
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When reviewing, cite the serializer, schema, handler, event publisher, or CLI parser at path:line, then identify the current consumer that would mis-handle the new shape. A green type check in the producer repository does not prove safety for clients outside that repository.
Blocker 3: stored data changes without a backfill
Block a schema change or a change in stored-data meaning when existing rows can become wrong, null, unreadable, or semantically inconsistent. New code that works for newly created records can still fail every historical record.
Patterns that require a backfill plan
- Adding a
NOT NULLcolumn without a default and without updating existing rows. - Reusing an enum value for a different state, so old rows acquire a new meaning.
- Changing timezone, currency unit, measurement unit, or other interpretation silently.
- Writing the new field only for new records while readers assume it exists for all records.
- Changing an index or serialized format without proving that old values remain readable.
Use expand, migrate, then contract
A safer sequence is to expand the schema compatibly, migrate or backfill existing records, switch readers and writers, and contract only after the old representation is no longer needed. The migration can be a linked, separately reviewed follow-up, but the current PR must show who owns it and how the system behaves between steps. If the application starts requiring the new value before the backfill has completed, the PR is a blocker.
Test more than the migration’s exit code. Read a pre-existing row, a row written during the transition, and a row written after the switch. Verify values, null handling, units, and timestamps. Cite the migration and the code that first assumes the new invariant.
Blocker 4: an authorization guard is missing
Block a new or changed sensitive path when it does not use the authorization guard that protects the rest of the resource. Authentication proves who the caller is; authorization proves that this caller may act on this particular object or operation.
Typical authorization gaps
- An endpoint accepts a client-supplied record ID and returns or deletes another account’s row.
- An endpoint described as internal is mounted on the public router.
- A role or account identifier is trusted because the client supplied it.
- A new service method bypasses the policy check used by the existing controller.
- A background job processes a user-provided identifier without verifying ownership.
The minimum delete-endpoint proof
For a sensitive delete operation, the behavioral tests should demonstrate all three outcomes: an unauthenticated request receives 401 or 403 according to the service’s convention; an authenticated caller from a different account receives 403; and an authorized caller succeeds, after which the target row is actually gone. A test that checks only a successful response can pass while the endpoint remains an IDOR vulnerability.
Point to the route registration and the authorization call at path:line. If the guard is inherited from middleware, cite the middleware configuration as well as the handler so the review shows that every entry point is covered.
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Blocker 5: tests do not prove the change
Block when risky behavior has no test, or when tests assert mocks and implementation details instead of externally observable safety. Coverage percentage is not proof. A test suite can execute every line while never checking the status code, persisted data, denied access, duplicate side effect, or rollback path that matters.
Coverage theater to reject
- A test that asserts only that a function “should not throw.”
- A snapshot that changes with the implementation but says nothing about behavior.
- A mock assertion such as “the repository method was called” with no check of what was stored.
expect(status).not.toBe(500)as the only assertion for an endpoint.- A happy-path test that never exercises timeout, retry, unauthorized, old-data, or flag-off behavior.
The test-gap question
Ask the model and the author to answer this exact question: “Name the test that would fail if this blocker were present.” If they cannot name one, the blocker is unproven. The answer should identify the setup, the action, and the observable failure. For a data migration, that might be a read of a pre-existing row after deployment. For authorization, it is a cross-account request returning 403. For rollback, it is a flag-off or reversal test that demonstrates the old behavior is restored.
Prefer tests at the boundary where a user, client, worker, or database would observe the defect. Keep focused unit tests when they explain a rule, but do not let mock-only assertions substitute for an integration or end-to-end check of the dangerous outcome.
Blocker 6: the feature flag does not cover the whole rollout
Block a risky or large partial rollout when the new path is ungated, or when the flag controls one entry point while another process can still create the new state. A flag is not a rollback if it does not cover every writer and reader that matters.
The split-path failure
Imagine an HTTP handler checks flags.newIndexer, but an SQS worker continues writing the new index unconditionally. Turning the flag off stops requests while the worker keeps changing state. The system is not rolled back; it is now in a mixed and potentially unrecoverable state.
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How to review flag coverage
- List every HTTP route, scheduled job, queue consumer, event handler, command, and migration that can read or write the changed state.
- Show the flag check at each relevant entry point, not only in the first controller you inspect.
- Test the flag on and off for each process, including workers that run independently of web traffic.
- Define the default when the flag service is unavailable and verify that default is safe.
- Document whether turning the flag off stops new writes, hides new reads, or both.
Report the missing check with its concrete path:line. Treat flag coverage as a separate finding from rollback: a change can be easy to revert in source control yet still continue writing new state while a flag is off.
Blocker 7: failure handling can duplicate side effects or hide errors
Block timeouts, retries, and catch blocks that can repeat a side effect, lose the result, or report success after failure. Distributed systems retry precisely when the first attempt may have succeeded but its response was lost, so an operation must be safe under that uncertainty.
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Side effects that need idempotency
- Payments, refunds, and other money movements.
- Webhook delivery and event publishing.
- Provisioning, account creation, or entitlement changes.
- Queue handlers that can receive the same message more than once.
- Any write retried after a timeout without a unique operation key or constraint.
A passing design makes the side effect idempotent or enforces uniqueness at the database or downstream boundary. It also surfaces failure so monitoring and callers can distinguish success, retryable failure, and permanent failure. A catch-all handler that returns HTTP 200 after swallowing an exception is a blocker because it tells the caller and alerting system that work completed when it did not.
What to test
Force a timeout after the downstream operation has possibly completed, retry the same request, and verify that the final state contains one effect. Exercise a downstream error and verify that the error is visible to the caller or queue system. Cite the retry loop, catch block, or write operation at path:line, and state whether a duplicate or false success can occur.
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Block credentials and sensitive personal data added to logs, browser bundles, URLs, Git history, error messages, or other places where people and systems do not expect them. Verbose production request-body logging is included: a payload that is harmless in development can contain credentials, addresses, health information, or payment details in production.
Places to inspect
- New log statements and debug output in production code.
- Client-side bundles, source maps, and configuration sent to browsers.
- Query strings, URLs, referrer headers, and analytics events.
- Exceptions, traces, and error responses returned to users.
- Committed configuration files, fixtures, test snapshots, and generated artifacts.
Redaction should match the existing production practice for the service: use the same field lists, masking rules, and logging controls rather than inventing a one-off pattern. A fake placeholder in an .env.example file is not a secret exposure and should be silent; do not inflate the blocker list with harmless examples.
For a real finding, cite the logging, serialization, or configuration line and identify the data class exposed. If a credential has already reached Git or a production log, removal from the latest commit is not enough; rotate the credential and follow the organization’s incident procedure before considering the PR resolved.
Rollback and flag coverage are different questions
These checks are often combined and therefore missed. Rollback asks, “Can we undo the behavior or recover from what it wrote?” Flag coverage asks, “When the flag is off, does every process stop taking the new path?” A web request can be perfectly gated while a worker keeps writing new records. Conversely, every process can honor a flag while the data written before the switch cannot be reversed. Review both and record separate evidence.
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|---|---|---|
| Rollback | What exact action restores safe behavior and handles data already produced? | Flag operation, revert procedure, compensating migration, owner, and test of the reversal. |
| Flag coverage | Does every reader and writer stop using the new path when disabled? | Inventory of routes, workers, jobs, and consumers with on/off tests. |
Design behavioral tests that can fail for the real hole
Use the production consequence as the test oracle. A test should fail when the dangerous implementation is present, not merely when a preferred internal method changes.
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| Risk | Behavioral proof | Failure the test must catch |
|---|---|---|
| Contract change | Send an old client request and parse the response or event using the old contract. | Removed fields, changed types, statuses, or meanings that break the client. |
| Migration | Read and update representative pre-existing rows before and after the transition. | Null, unreadable, unit-shifted, or semantically wrong historical data. |
| Authorization | Exercise unauthenticated, same-account, and cross-account requests. | Unauthorized access, IDOR, or a missing resource guard. |
| Rollback | Disable the flag or execute the documented reversal, then observe the old safe behavior. | A path that cannot be stopped or data that cannot be recovered. |
| Failure handling | Inject a timeout or retry after uncertain completion. | Duplicate side effects, swallowed errors, or false success. |
| Secret handling | Send sensitive fields and inspect logs, responses, URLs, and artifacts. | Raw credentials or personal data crossing a boundary. |
Keep the test-gap discipline throughout review: for each suspected blocker, name the test that would fail if it were real. If the answer is only a mock call count, keep looking for the externally visible assertion.
A practical eight-step review workflow
- Map the change. Read the diff and list every user-visible path, data write, schema change, API or event contract, worker, flag, retry, and log statement it touches.
- Mark evidence. For each concern, record the exact
path:line. Do not file a finding based only on a file name, an intuition, or a generated summary. - Check reversibility. Identify the rollback action, its owner, its effect on already-written data, and the test that proves it.
- Check compatibility. Compare request, response, event, error, and CLI contracts against the clients that already exist. Look for changed meaning as well as changed shape.
- Check data history. Trace old rows through the new readers and writers. Require an expand, migrate, contract sequence or an explicitly linked safe follow-up.
- Check access boundaries. Follow every sensitive route to its policy guard and run unauthenticated and cross-account cases.
- Check rollout and failure paths. Trace flags through web processes and workers, then inspect timeout, retry, idempotency, and catch behavior.
- Check exposure and tests. Search logs, URLs, bundles, errors, and repository artifacts for sensitive data, then verify that tests would fail for each remaining blocker.
Classify only after this pass. A style disagreement belongs in silence unless it creates one of the listed production consequences. A substantive but non-blocking concern gets one warning sentence. A blocker includes the consequence, the evidence location, and the required fix or acceptance decision.
How this standard compares with common AI-PR reviews
Different review approaches optimize for different signals. The eight-blocker standard is not a replacement for compilation, linting, security scanning, or domain review; it is the production-safety layer that those checks do not establish on their own.
| Review approach | Rollback and forward-fixability | API and event compatibility | Data migration safety | Authorization coverage | Behavioral tests | Rollout and worker coverage | Idempotency and error surfacing | Secret and PII handling | Evidence and noise control |
|---|---|---|---|---|---|---|---|---|---|
| Fluency and diff skim | Usually implicit | Often inferred from changed files | May miss historical rows | May trust familiar-looking middleware | Counts visible tests | Usually checks the main request path | Rarely exercises retries | May notice obvious literals only | Low path-and-line precision; style comments can dominate |
| Lint, type, and unit gate | Does not establish an operational reversal | Checks producer types, not every consumer | Can miss semantic or historical-data errors | Depends on what the units exercise | Can reward implementation-detail assertions | Usually outside the gate’s scope | Often needs injected failures | Static rules help but do not cover runtime payloads | Precise failures, but no severity decision by themselves |
| Eight-blocker review | Requires a named rollback or justified trivial revert | Checks shape, status, code, flags, and meaning | Requires a backfill or safe sequencing | Requires guard evidence and denied-access tests | Requires a test that fails for the real hole | Audits every process and flag state | Requires idempotent effects and visible failures | Checks logs, bundles, URLs, Git, and errors | Every finding cites path:line; blocker, warning, and silent keep urgency scarce |
Writing an acceptance rationale for a blocker
Sometimes a release constraint makes a known risk temporarily acceptable. The rule does not make that decision disappear; it makes the decision explicit. The PR body should state the cited path:line, the concrete consequence, why the fix cannot land now, the compensating control, the owner who accepts it, and when the follow-up will be completed. “Low risk” without those details is not an acceptance rationale.
Do not use an acceptance note to excuse a missing authorization guard, an exposed credential, or data corruption that has no containment plan. Those cases normally require remediation before merge because the harm can begin immediately and cannot be reliably bounded by a promise.
Keep reviewer urgency scarce
When every observation is labeled urgent, the team stops distinguishing a production hazard from a preference. Reserve BLOCKER for the eight consequences: paging, corruption, access leakage, irreversible change, unsafe duplicate side effects, or equivalent exposure. Put naming, formatting, refactoring taste, and other non-consequential comments in WARNING or SILENT. The guiding sentence is: “Urgency has to be scarce or it is not urgency.”
Final merge decision
Merge an AI-generated PR only after each applicable blocker has a concrete answer and evidence. The final review should let another engineer locate the risky line, understand the production consequence, run the proving test, and execute the rollback without guessing. Fluency, green lint, and a neat file list are useful signals, but they are not the safety case.
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