flutter-dart-code-review▌
affaan-m/everything-claude-code · updated Apr 8, 2026
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Comprehensive, library-agnostic checklist for reviewing Flutter/Dart applications. These principles apply regardless of which state management solution, routing library, or DI framework is used.
Flutter/Dart Code Review Best Practices
Comprehensive, library-agnostic checklist for reviewing Flutter/Dart applications. These principles apply regardless of which state management solution, routing library, or DI framework is used.
1. General Project Health
- Project follows consistent folder structure (feature-first or layer-first)
- Proper separation of concerns: UI, business logic, data layers
- No business logic in widgets; widgets are purely presentational
-
pubspec.yamlis clean — no unused dependencies, versions pinned appropriately -
analysis_options.yamlincludes a strict lint set with strict analyzer settings enabled - No
print()statements in production code — usedart:developerlog()or a logging package - Generated files (
.g.dart,.freezed.dart,.gr.dart) are up-to-date or in.gitignore - Platform-specific code isolated behind abstractions
2. Dart Language Pitfalls
- Implicit dynamic: Missing type annotations leading to
dynamic— enablestrict-casts,strict-inference,strict-raw-types - Null safety misuse: Excessive
!(bang operator) instead of proper null checks or Dart 3 pattern matching (if (value case var v?)) - Type promotion failures: Using
this.fieldwhere local variable promotion would work - Catching too broadly:
catch (e)withoutonclause; always specify exception types - Catching
Error:Errorsubtypes indicate bugs and should not be caught - Unused
async: Functions markedasyncthat neverawait— unnecessary overhead -
lateoveruse:lateused where nullable or constructor initialization would be safer; defers errors to runtime - String concatenation in loops: Use
StringBufferinstead of+for iterative string building - Mutable state in
constcontexts: Fields inconstconstructor classes should not be mutable - Ignoring
Futurereturn values: Useawaitor explicitly callunawaited()to signal intent -
varwherefinalworks: Preferfinalfor locals andconstfor compile-time constants - Relative imports: Use
package:imports for consistency - Mutable collections exposed: Public APIs should return unmodifiable views, not raw
List/Map - Missing Dart 3 pattern matching: Prefer switch expressions and
if-caseover verboseischecks and manual casting - Throwaway classes for multiple returns: Use Dart 3 records
(String, int)instead of single-use DTOs -
print()in production code: Usedart:developerlog()or the project's logging package;print()has no log levels and cannot be filtered
3. Widget Best Practices
Widget decomposition:
- No single widget with a
build()method exceeding ~80-100 lines - Widgets split by encapsulation AND by how they change (rebuild boundaries)
- Private
_build*()helper methods that return widgets are extracted to separate widget classes (enables element reuse, const propagation, and framework optimizations) - Stateless widgets preferred over Stateful where no mutable local state is needed
- Extracted widgets are in separate files when reusable
Const usage:
-
constconstructors used wherever possible — prevents unnecessary rebuilds -
constliterals for collections that don't change (const [],const {}) - Constructor is declared
constwhen all fields are final
Key usage:
-
ValueKeyused in lists/grids to preserve state across reorders -
GlobalKeyused sparingly — only when accessing state across the tree is truly needed -
UniqueKeyavoided inbuild()— it forces rebuild every frame -
ObjectKeyused when identity is based on a data object rather than a single value
Theming & design system:
- Colors come from
Theme.of(context).colorScheme— no hardcodedColors.redor hex values - Text styles come from
Theme.of(context).textTheme— no inlineTextStylewith raw font sizes - Dark mode compatibility verified — no assumptions about light background
- Spacing and sizing use consistent design tokens or constants, not magic numbers
Build method complexity:
- No network calls, file I/O, or heavy computation in
build() - No
Future.then()orasyncwork inbuild() - No subscription creation (
.listen()) inbuild() -
setState()localized to smallest possible subtree
4. State Management (Library-Agnostic)
These principles apply to all Flutter state management solutions (BLoC, Riverpod, Provider, GetX, MobX, Signals, ValueNotifier, etc.).
Architecture:
- Business logic lives outside the widget layer — in a state management component (BLoC, Notifier, Controller, Store, ViewModel, etc.)
- State managers receive dependencies via injection, not by constructing them internally
- A service or repository layer abstracts data sources — widgets and state managers should not call APIs or databases directly
- State managers have a single responsibility — no "god" managers handling unrelated concerns
- Cross-component dependencies follow the solution's conventions:
- In Riverpod: providers depending on providers via
ref.watchis expected — flag only circular or overly tangled chains - In BLoC: blocs should not directly depend on other blocs — prefer shared repositories or presentation-layer coordination
- In other solutions: follow the documented conventions for inter-component communication
- In Riverpod: providers depending on providers via
Immutability & value equality (for immutable-state solutions: BLoC, Riverpod, Redux):
- State objects are immutable — new instances created via
copyWith()or constructors, never mutated in-place - State classes implement
==andhashCodeproperly (all fields included in comparison) - Mechanism is consistent across the project — manual override,
Equatable,freezed, Dart records, or other - Collections inside state objects are not exposed as raw mutable
List/Map
Reactivity discipline (for reactive-mutation solutions: MobX, GetX, Signals):
- State is only mutated through the solution's reactive API (
@actionin MobX,.valueon signals,.obsin GetX) — direct field mutation bypasses change tracking - Derived values use the solution's computed mechanism rather than being stored redundantly
- Reactions and disposers are properly cleaned up (
ReactionDisposerin MobX, effect cleanup in Signals)
State shape design:
- Mutually exclusive states use sealed types, union variants, or the solution's built-in async state type (e.g. Riverpod's
AsyncValue) — not boolean flags (isLoading,isError,hasData) - Every async operation models loading, success, and error as distinct states
- All state variants are handled exhaustively in UI — no silently ignored cases
- Error states carry error information for display; loading states don't carry stale data
- Nullable data is not used as a loading indicator — states are explicit
// BAD — boolean flag soup allows impossible states
class UserState {
bool isLoading = false;
bool hasError = false; // isLoading && hasError is representable!
User? user;
}
// GOOD (immutable approach) — sealed types make impossible states unrepresentable
sealed class UserState {}
class UserInitial extends UserState {}
class UserLoading extends UserState {}
class UserLoaded extends UserState {
final User user;
const UserLoaded(this.user);
}
class UserError extends UserState {
final String message;
const UserError(this.message);
}
// GOOD (reactive approach) — observable enum + data, mutations via reactivity API
// enum UserStatus { initial, loading, loaded, error }
// Use your solution's observable/signal to wrap status and data separately
Rebuild optimization:
- State consumer widgets (Builder, Consumer, Observer, Obx, Watch, etc.) scoped as narrow as possible
- Selectors used to rebuild only when specific fields change — not on every state emission
-
constwidgets used to stop rebuild propagation through the tree - Computed/derived state is calculated reactively, not stored redundantly
Subscriptions & disposal:
- All manual subscriptions (
.listen()) are cancelled indispose()/close() - Stream controllers are closed when no longer needed
- Timers are cancelled in disposal lifecycle
- Framework-managed lifecycle is preferred over manual subscription (declarative builders over
.listen()) -
mountedcheck beforesetStatein async callbacks -
BuildContextnot used afterawaitwithout checkingcontext.mounted(Flutter 3.7+) — stale context causes crashes - No navigation, dialogs, or scaffold messages after async gaps without verifying the widget is still mounted
-
BuildContextnever stored in singletons, state managers, or static fields
Local vs global state:
- Ephemeral UI state (checkbox, slider, animation) uses local state (
setState,ValueNotifier) - Shared state is lifted only as high as needed — not over-globalized
- Feature-scoped state is properly disposed when the feature is no longer active
5. Performance
Unnecessary rebuilds:
-
setState()not called at root widget level — localize state changes -
constwidgets used to stop rebuild propagation -
RepaintBoundaryused around complex subtrees that repaint independently -
AnimatedBuilderchild parameter used for subtrees independent of animation
Expensive operations in build():
- No sorting, filtering, or mapping large collections in
build()— compute in state management layer - No regex compilation in
build() -
MediaQuery.of(context)usage is specific (e.g.,MediaQuery.sizeOf(context))
Image optimization:
- Network images use caching (any caching solution appropriate for the project)
- Appropriate image resolution for target device (no loading 4K images for thumbnails)
-
Image.assetwithcacheWidth/cacheHeightto decode at display size - Placeholder and error widgets provided for network images
Lazy loading:
-
ListView.builder/GridView.builderused instead ofListView(children: [...])for large or dynamic lists (concrete constructors are fine for small, static lists) - Pagination implemented for large data sets
- Deferred loading (
deferred as) used for heavy libraries in web builds
Other:
-
Opacitywidget avoided in animations — useAnimatedOpacityorFadeTransition - Clipping avoided in animations — pre-clip images
-
operator ==not overridden on widgets — useconstconstructors instead - Intrinsic dimension widgets (
IntrinsicHeight,IntrinsicWidth) used sparingly (extra layout pass)
6. Testing
Test types and expectations:
- Unit tests: Cover all business logic (state managers, repositories, utility functions)
- Widget tests: Cover individual widget behavior, interactions, and visual output
- Integration tests: Cover critical user flows end-to-end
- Golden tests: Pixel-perfect comparisons for design-critical UI components
Coverage targets:
- Aim for 80%+ line coverage on business logic
- All state transitions have corresponding tests (loading → success, loading → error, retry, etc.)
- Edge cases tested: empty states, error states, loading states, boundary values
Test isolation:
- External dependencies (API clients, databases, services) are mocked or faked
- Each test file tests exactly one class/unit
- Tests verify behavior, not implementation details
- Stubs define only the behavior needed for each test (minimal stubbing)
- No shared mutable st
How to use flutter-dart-code-review on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add flutter-dart-code-review
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches flutter-dart-code-review from GitHub repository affaan-m/everything-claude-code and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate flutter-dart-code-review. Access the skill through slash commands (e.g., /flutter-dart-code-review) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★33 reviews- ★★★★★Pratham Ware· Dec 28, 2024
Keeps context tight: flutter-dart-code-review is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Luis Jackson· Dec 20, 2024
I recommend flutter-dart-code-review for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Kofi Chen· Dec 12, 2024
flutter-dart-code-review fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Liam Kapoor· Dec 4, 2024
Useful defaults in flutter-dart-code-review — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Kofi Wang· Nov 23, 2024
flutter-dart-code-review has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Sakshi Patil· Nov 19, 2024
Registry listing for flutter-dart-code-review matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Camila Thompson· Nov 11, 2024
Solid pick for teams standardizing on skills: flutter-dart-code-review is focused, and the summary matches what you get after install.
- ★★★★★Olivia Chawla· Oct 14, 2024
Solid pick for teams standardizing on skills: flutter-dart-code-review is focused, and the summary matches what you get after install.
- ★★★★★Chaitanya Patil· Oct 10, 2024
flutter-dart-code-review reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Yusuf Huang· Oct 2, 2024
flutter-dart-code-review has been reliable in day-to-day use. Documentation quality is above average for community skills.
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