Easy to Maintain

We ensure folder structure is the first thing a future developer will judge. Opinionated, consistent folder structures are used (e.g., src/components, src/services, src/hooks, src/features).

We write code for humans, not just for the compiler. Consistent naming conventions and patterns are followed throughout all projects. ESLint and Prettier are set up to enforce formatting via pre-commit hooks like Husky, ensuring code quality from the start. We prioritize typed languages, using TypeScript over JavaScript for better maintainability. We always keep code readable and manageable, focused and small.

We avoid design chaos by encoding design decisions in reusable code components. Established component systems like ShadCN, Tailwind UI, or Material UI are used to ensure consistency across projects. This approach helps avoid writing one-off UI code unless absolutely necessary, saving time and ensuring design consistency.

We ensure business logic never belongs in the UI layer. Service layers, custom hooks, or controller modules are used to properly isolate and organize business logic. For API interactions, modern data fetching patterns are implemented using SWR, React Query, or custom wrappers that handle caching and error states efficiently. All API calls are abstracted into dedicated service folders, such as services/api/user.ts, making the codebase more maintainable and testable.

We don't write novels—just enough to onboard the next dev fast. README.md is always written with setup, env vars, deployment instructions. Short comments are added for complex logic (don't over-comment). TSDoc / JSDoc are used for public methods. A CONTRIBUTING.md is added for how to run tests / conventions.

We don't need 100% coverage, but we need complete coverage where failure is expensive. Unit tests are prioritized for business-critical functions. Integration tests are used for API endpoints or workflows. Easy-to-use tools are chosen: Jest + Testing Library (React), Playwright for e2e. So we can keep a balance between coverage and time to market.

Every commit triggers safety checks. A simple CI/CD pipeline is set up that does: Type checks (e.g., tsc --noEmit), Lint/format checks, Unit tests, Auto-deploy to staging. Common Tools are used: GitHub Actions, Docker Compose.

We avoid hardcoded anything = long-term pain. All secrets/config are stored in .env or remote config (e.g., AWS SSM, Vercel envs). Environment-based setup is used (process.env.NODE_ENV). Committing .env.*, API keys, credentials, etc. is avoided. And they are well documented.