Top 10 Monosc Tips and Best PracticesMonosc is an emerging framework (or toolset) designed to simplify building scalable applications with a focus on modularity, predictable state flow, and developer ergonomics. Whether you’re just getting started or you’ve already shipped a few projects, these ten tips and best practices will help you write cleaner code, avoid common pitfalls, and scale your Monosc applications more confidently.
1. Understand Monosc’s core concepts first
Before writing features, spend time understanding Monosc’s core abstractions—modules, actions, state slices, and effects (or whatever Monosc calls its side-effect handlers). Knowing how data flows between modules and how Monosc manages lifecycle and isolation will save you debugging time later.
- Map out your app as a set of independent modules with clear responsibilities.
- Identify which state belongs where; prefer local module state unless truly shared.
2. Keep modules small and focused
Small modules are easier to test, reason about, and reuse.
- Each module should encapsulate a single feature or domain concept.
- Limit public interfaces: expose only the actions and selectors consumers need.
- If a module grows too large, split it along clear domain boundaries.
3. Design predictable state shape
A predictable, well-documented state shape reduces cognitive load and prevents accidental coupling.
- Use plain objects and arrays; avoid deeply nested structures when possible.
- Normalize collections to avoid duplication and complex updates.
- Define and document initial state for each module.
4. Prefer pure reducers/handlers for state updates
Side effects should be separated from state update logic.
- Keep reducers or state handlers pure: same input -> same output.
- Move asynchronous logic and I/O to effects, services, or middleware provided by Monosc.
- This separation improves testability: you can unit-test reducers independently.
5. Use typed contracts where possible
If your project supports TypeScript (or another type system), adopt it early.
- Define types for actions, state slices, and module APIs.
- Types catch many errors at compile time and serve as living documentation.
- Use discriminated unions for action types to improve exhaustiveness checks.
6. Centralize side effects and external integrations
Centralizing effects makes retrying, caching, and error handling easier and consistent.
- Create services for API calls, local storage, analytics, and other external systems.
- Keep effects thin: orchestrate calls, dispatch success/failure actions, and handle retry/backoff policies centrally.
- Mock services in tests to avoid network dependency.
7. Optimize selector performance
Selectors compute derived data from state. Efficient selectors prevent unnecessary re-renders.
- Memoize selectors that derive expensive computed values.
- Keep selectors small and composable—combine them rather than duplicating logic.
- Avoid putting UI-specific data into core state; compute it in selectors or view-layer code.
8. Establish clear testing strategies
A solid test suite increases confidence when refactoring or adding features.
- Unit-test reducers/handlers and selectors thoroughly.
- Write integration tests for module interactions and effects.
- Use end-to-end (E2E) tests to validate user flows and critical paths.
9. Follow a consistent folder and naming convention
Consistency helps new contributors onboard faster and reduces cognitive friction.
- Group files by feature/module rather than by type (e.g., component, reducer, styles).
- Name actions, selectors, and files using a predictable pattern: moduleName/actionName, moduleName/selectors, etc.
- Keep public APIs for modules in a single index file to make imports explicit.
10. Monitor runtime behavior and plan for scaling
Real-world usage reveals bottlenecks and edge cases that don’t show up in development.
- Add telemetry for slow actions, failed effects, and resource-heavy selectors.
- Profile and measure re-render frequency and expensive computations.
- Design migration paths for splitting modules or moving state as your app grows.
Additional practical examples and patterns
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Example: Normalizing a list of items
- Store items in an object keyed by id and keep an array of ids for ordering.
- This makes updates O(1) and reduces duplication across modules.
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Example: Thunk-like effect pattern
- Dispatch a “start” action, run the asynchronous service, then dispatch “success” or “failure” actions.
- Keep UI components subscribing only to status flags and data selectors.
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Example: Module index file
- Export only actions, selectors, and an initialize function from a module’s index to create a clear public contract.
Conclusion
Applying these ten tips will make your Monosc codebase more maintainable, testable, and scalable. Prioritize clarity and separation of concerns: small, well-typed modules with centralized effects and predictable state are easier to evolve. As Monosc matures, keep iterating on conventions and tooling that fit your team’s needs.
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