gerrit-hygiene-operations

name	gerrit-hygiene-operations
description	Provides rules, patterns, and best practices for code hygiene, formatting, downstream plugin dependencies, and release operations in Gerrit.

Gerrit Hygiene & Operations Engineering Guide

Executive Summary

Welcome to the authoritative engineering guide for maintaining code hygiene, managing downstream deployments, and optimizing operations within the codebase. This living repository serves as the definitive source of tribal knowledge aimed at preventing technical debt and keeping our development ecosystem scalable, predictable, and resilient against integration friction.

The domains covered in this payload target the most common sources of technical debt, pipeline flakiness, and deployment desynchronization. You will find mandates covering the strict encapsulation of proprietary infrastructure to protect external contributors from opaque tooling, strategies for eliminating visual regression test flakiness, and protocols for dead-code elimination during experiment decommissioning. Furthermore, it outlines performance optimization standards—such as client-side request parallelization—and mandates strict CI/CD hygiene via TypeScript formatting rules and automated release note generation.

Engineers are expected to internalize these guidelines when architecting UI components, authoring API documentation, or coordinating downstream releases. Adhering to these principles directly reduces deployment noise, ensures a seamless developer experience for both internal and open-source contributors, and fortifies the integrity of our continuous integration pipelines.

Summary

Chapter Theme / Title	Scope & Objective
**Downstream Ecosystem Deployment	Governs the coordination of release
: Synchronization** : timelines and cross-project dependency :
: : management for external plugins across :
: : isolated, downstream Gerrit :
: : deployments. Requires strict auditing :
: : to prevent integration failures during :
: : core platform rollouts. :
**TypeScript Code Formatting &	Defines structural code style and
: Syntax Normalization** : linting mandates for frontend :
: : TypeScript components. Strict :
: : enforcement of formatting rules, such :
: : as line-length constraints, ensures :
: : optimal diff readability and prevents :
: : automated CI pipeline failures. :
**Proprietary Infrastructure	Establishes strict boundaries for
: Encapsulation** : documenting public APIs by forbidding :
: : the leakage of proprietary backend :
: : paths or internal corporate URLs. :
: : Ensures environment encapsulation and :
: : prevents exposing dead links or opaque :
: : references to open-source :
: : contributors. :
**Client-Side Request	Governs the optimization of frontend
: Parallelization** : loading metrics by transitioning :
: : monolithic or batched server-side :
: : queries into parallelized, :
: : asynchronous client-side fan-out :
: : requests. Mandates concurrent :
: : execution to improve performance and :
: : simplify caching logic. :
**Experiment Decommissioning & Dead	Dictates the mandatory cleanup
: Code Elimination** : required when promoting successful :
: : experimental features to default :
: : behavior. Enforces the strict :
: : elimination of legacy fallback :
: : methods, feature flag evaluations, and :
: : outdated service dependencies to :
: : prevent dead code accumulation. :
**Commit Metadata & Release Note	Mandates the injection of structured
: Automation** : git footers into commit messages. :
: : Strict adherence ensures that :
: : automated CI/CD pipelines successfully :
: : parse and generate accurate changelogs :
: : and release notes without manual :
: : intervention. :
**Visual Regression Test	Governs strategies for eliminating
: Determinism** : visual regression test flakiness by :
: : deliberately orchestrating :
: : deterministic, transitional UI states. :
: : Establishes the standard of :
: : intentionally omitting API mocks to :
: : reliably capture loading states during :
: : screenshot baseline generation. :

---

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Chapter: Downstream Ecosystem Deployment Synchronization

Context: This chapter governs the coordination of release timelines and cross-project dependency management for external plugins across isolated, downstream Gerrit deployments. Strict auditing of these external ecosystems is required to prevent integration failures when rolling out core platform updates.

Summary

Rule ID	Principle / Constraint	Priority	Primary Symptom / Trap
T1-01	Downstream Plugin	High	Proceeding with a core
: : Dependency Verification : : release timeline without :
: : During Core Rollout : : verifying downstream custom :
: : : : plugin compatibility. :

---

Rules

T1-01: Downstream Plugin Dependency Verification During Core Rollout

Rule: Always audit and verify the compatibility of cross-project dependencies, such as custom plugins, before executing core release updates to isolated downstream instances.

What: Before rolling out core release updates to isolated downstream ecosystem instances, cross-project dependencies (e.g., custom plugins) must be explicitly audited and verified for compatibility.

Applies To: Release management and deployment synchronization to downstream environments (e.g., Chromium, pdfium, v8).

Why: Deploying core updates without simultaneously auditing and upgrading heavily used plugins (like avatars-external) in downstream installations historically risked deployment delays and integration failures. Failing to adhere to this typically results in Deployment Desynchronization.

Trap 1: Proceeding with a core release timeline without verifying downstream custom plugin compatibility.

Don't:

• Roll out the core release independently of external plugin compatibility states.

Do:

• Audit and flag downstream plugin requirements (e.g., avatars-external) for updates prior to or alongside the core release.

Chapter: TypeScript Code Formatting & Syntax Normalization

Context: This section defines the structural code style and linting mandates for frontend TypeScript components. Strict enforcement of formatting rules, such as line-length constraints, ensures optimal diff readability and prevents automated CI pipeline failures.

Summary

Rule ID	Principle / Constraint	Priority	Primary Symptom / Trap
T2-01	Strict Line Length	Medium	Chaining long promise
: : Formatting : : callbacks or variable :
: : : : assignments on a single :
: : : : line. :

---

Rules

T2-01: Strict Line Length Formatting

Rule: Always format TypeScript files to strictly adhere to linting limits by wrapping long chained expressions. Never commit code that triggers structural style violations.

What: TypeScript frontend files must strictly adhere to linting standards by properly wrapping long chained expressions.

Applies To: TypeScript UI components (e.g., Lit elements like gr-reply-dialog.ts).

Why: Inconsistent formatting and over-extended lines caused unnecessary diff noise and failed automated linting checks in the frontend CI pipeline. Failing to adhere to this typically results in Linting Pipeline Failure.

Trap 1: Chaining long promise callbacks or variable assignments on a single line.

Don't:

return this.saveReview(reviewInput, errFn).then(result => {

Do:

return this.saveReview(reviewInput, errFn)
  .then(result => {

Chapter: Proprietary Infrastructure Encapsulation

Context: This domain establishes strict boundaries for documenting public-facing APIs, Enums, and interface definitions by explicitly forbidding the leakage of proprietary backend paths (e.g., google3/) or internal corporate URLs. Adherence ensures environment encapsulation and prevents exposing dead links or opaque references to open-source contributors.

Summary

Rule ID	Principle / Constraint	Priority	Primary Symptom / Trap
T3-01	Omission of Proprietary	Medium	Pasting internal
: : Infrastructure Paths from : : repository file paths :
: : Enum Documentation : : into the docblock of an :
: : : : interface or Enum. :
T3-02	Exclusion of Internal	Medium	Using proprietary
: : Code Search URIs from : : internal code search URLs :
: : Interface Types : : to provide examples of :
: : : : acceptable payload :
: : : : strings. :

---

Rules

T3-01: Omission of Proprietary Infrastructure Paths from Enum Documentation

Rule: Always strip internal directory paths from JSDoc or TSDoc comments when defining public-facing data models.

What: JSDoc or TSDoc comments defining data models (e.g., Enums) must not leak proprietary, internal backend repository or directory paths.

Applies To: Frontend API definitions, specifically Protobuf-mapped Enums.

Why: Internal directory paths (e.g., google3/.../proto) were mistakenly included in open-source frontend code documentation, breaking environment encapsulation. Failing to adhere to this typically results in Information Leakage.

Trap 1: Pasting internal repository file paths into the docblock of an interface or Enum.

Don't:

/**
 * Enum to match the Action proto from CRUAS.
 * google3/path/to/internal/service/proto/file.proto.
 */
export enum ActionEnum { ... }

Do:

/**
 * Enum to match the Action proto from CRUAS.
 */
export enum ActionEnum { ... }

T3-02: Exclusion of Internal Code Search URIs from Interface Types

Rule: Never include proprietary code search URLs when documenting type definitions or payload schemas.

What: Code comments must not contain URL links to internal code search tools or proprietary source depots when documenting interface field types.

Applies To: API interface declarations and payload schemas (e.g., ContextItem).

Why: A developer linked directly to a proprietary source code URI (source.corp.google.com) to explain a type ID field, rendering the documentation inaccessible and useless for external open-source contributors. Failing to adhere to this typically results in Dead Link / Opacity.

Trap 1: Using proprietary internal code search URLs to provide examples of acceptable payload strings.

Don't:

// type_id should match the types here: https://source.corp.google.com/piper///depot/google3/...
type_id: string;

Do:

// type_id should map to standard application contexts (e.g., 'gerrit_change', 'bug_tracker').
type_id: string;

Chapter: Client-Side Request Parallelization

Context: This chapter governs the optimization of frontend loading metrics by transitioning monolithic or batched server-side queries into parallelized, asynchronous client-side fan-out requests. This approach mandates client-side concurrent execution to improve dashboard performance and simplify downstream caching logic.

Summary

Rule ID	Principle / Constraint	Priority	Primary Symptom / Trap
T4-01	Client-Side Fan-out for	High	Forwarding an array of
: : Dashboard Query : : queries to a dedicated :
: : Processing : : multi-query endpoint :
: : : : method. :

---

Rules

T4-01: Client-Side Fan-out for Dashboard Query Processing

Rule: Always map and execute multiple backend query requests concurrently using client-side parallelization constructs. Never rely on batched, single-request multi-query endpoints to aggregate data.

What: Multiple backend query requests must be mapped and executed concurrently using Promise.all on the client side, rather than relying on a single, batched multi-query backend endpoint.

Applies To: API Service layer (GrRestApiServiceImpl), specifically dashboard data fetching routines.

Why: A legacy approach prefetched batched queries in the backend, which complicated caching and backend logic. Shifting to client-side parallel requests explicitly improved the DashboardDisplayed performance metric. Failing to adhere to this typically results in Performance Degradation.

Trap 1: Forwarding an array of queries to a dedicated multi-query endpoint method.

Don't:

return this.getChangesForMultipleQueries(changesPerPage, queries, offset, options);

Do:

const requestPromises = queries.map(query =>
  this.getChanges(changesPerPage, query, offset, options)
);
return Promise.all(requestPromises).then(results => {
  if (results.includes(undefined)) return undefined;
  return results as ChangeInfo[][];
});

---

Cross-Domain Dependencies

• Downstream: T5 | Experiment Decommissioning & Dead Code Elimination - Transitioning to client-side fan-outs routinely exposes obsolete backend batching mechanisms and experimental feature flags that must be subsequently purged.

Chapter: Experiment Decommissioning & Dead Code Elimination

Context: This domain governs the mandatory cleanup required when promoting successful experimental features to default behavior. It enforces the strict elimination of legacy fallback methods, feature flag evaluations, and outdated service dependencies to prevent dead code accumulation.

Summary

Rule ID	Principle / Constraint	Priority	Primary Symptom / Trap
T5-01	Aggressive Pruning of	Medium	Leaving the legacy
: : Decommissioned Experiment : : fallback method in the :
: : Fallbacks : : class after removing the :
: : : : experiment flag toggle :
: : : : and its invocation block. :

---

Rules

T5-01: Aggressive Pruning of Decommissioned Experiment Fallbacks

Rule: Must completely delete all fallback methods, feature flags, and obsolete service dependencies immediately upon graduating an experimental feature to default behavior.

What: When an experimental feature is promoted to default behavior, all corresponding flag evaluations (KnownExperimentId), service dependencies (FlagsService), and obsolete fallback routing methods must be entirely deleted.

Applies To: Service layer components and API implementations during feature flag graduation.

Why: Failing to aggressively remove obsolete fallback methods (like getChangesForMultipleQueries) after adopting client-side parallel requests natively led to dead code and confusion over correct API utilization. Failing to adhere to this typically results in Technical Debt Accumulation.

Trap 1: Leaving the legacy fallback method in the class after removing the experiment flag toggle and its invocation block.

Don't:

• Remove the if (experimentEnabled) evaluation, but leave getChangesForMultipleQueries(queries) declared in the class definition.

Do:

• Delete the deprecated fallback method getChangesForMultipleQueries entirely to ensure no other components attempt to invoke it.

---

Cross-Domain Dependencies

• Upstream: T4 | Client-Side Request Parallelization - Transitioning to parallelized client-side requests triggers the deprecation and subsequent cleanup of legacy monolithic server-side queries.

Chapter: Commit Metadata & Release Note Automation

Context: This section mandates the injection of structured git footers into commit messages. Strict adherence ensures that automated CI/CD pipelines successfully parse and generate accurate changelogs and release notes without manual intervention.

Summary

Rule ID	Principle / Constraint	Priority	Primary Symptom / Trap
T6-01	Mandatory Release-Notes	High	Omitting the footer
: : Footer Injection : : entirely or formatting the :
: : : : release note description as :
: : : : a multi-line paragraph. :

---

Rules

T6-01: Mandatory Release-Notes Footer Injection

Rule: Always append a properly formatted, single-line Release-Notes: footer to all commits. While a descriptive note is valuable for significant updates, using Release-Notes: skip is completely acceptable and common for minor UI changes, styling tweaks, small fixes, or any change where a detailed public changelog entry is not necessary.

What: Commit messages must include a properly formatted, single-line 'Release-Notes:' footer to satisfy CI/CD submit requirements and trigger automated changelog generation. If a change is minor or a public release note is not needed (even for user-facing adjustments like adding spacing to prevent accidental clicks), using the value 'skip' is fully valid and acceptable.

Applies To: Git commit messages for all changes, including frontend UI, backend, and configuration updates.

Why: Without a dedicated footer, automated release note parsers or submission checks can fail. However, not every commit needs a public release note; hence, Release-Notes: skip is supported to keep git history clean and satisfy automation without generating unnecessary public changelog entries.

Trap 1: Omitting the footer entirely or formatting the release note description as a multi-line paragraph.

Don't:

• Submit a commit without an explicit Release-Notes: footer, or spread the release note description across multiple lines in the commit body.

Do:

• For major features or configuration changes: Append a single-line footer with a descriptive summary, e.g.: Release-Notes: Add config to control if review footers should be included into the commit message on submit
• For minor adjustments (such as fixing accidental clicks by adding spacing), trivial fixes, or refactorings: A detailed release note description can still be provided if desired, but appending Release-Notes: skip is completely acceptable.

Exceptions: None. The Release-Notes: footer must be present on all commits, but the value skip is always acceptable.

Chapter: Visual Regression Test Determinism

Context: This chapter governs the strategies for eliminating visual regression test flakiness by deliberately orchestrating deterministic, transitional UI states. Specifically, it establishes the standard of intentionally omitting API mocks to reliably capture loading states during screenshot baseline generation.

Summary

Rule ID	Principle / Constraint	Priority	Primary Symptom / Trap
T7-01	Intentional Omission of	High	Mocking all APIs by default
: : Mocks for Deterministic : : in a screenshot test, :
: : UI Baselines : : causing a race condition :
: : : : where the mock resolves :
: : : : faster than the screenshot :
: : : : is taken. :

---

Rules

T7-01: Intentional Omission of Mocks for Deterministic UI Baselines

Rule: Always omit API mocks when attempting to reliably capture transitional UI states (such as loading spinners) in visual regression tests. Never provide mock responses if the objective is to baseline a pre-resolved, asynchronous view.

What: To capture stable, deterministic transitional UI states (like loading spinners) in visual regression tests, the underlying API endpoints must be intentionally left unmocked.

Applies To: Screenshot baseline testing (e.g., _screenshot_test.ts) for asynchronous UI components.

Why: Capturing fully resolved UI states was difficult to synchronize, causing flaky screenshot tests. Relying on an unmocked API ensures the component hangs reliably in the 'loading' state, producing a stable visual baseline for the loader. Failing to adhere to this typically results in Test Flakiness.

Trap 1: Mocking all APIs by default in a screenshot test, causing a race condition where the mock resolves faster than the screenshot is taken.

Don't:

• Providing mock responses for the API in order to capture the transitional loading state, introducing timing-based flakiness.

Do:

• Leave the data-fetching API unmocked so the component indefinitely hangs in its transitional loading state, yielding a 100% deterministic screenshot of the loader.