CODE GRADING
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Code Grading Service
This grading system is based on analysis of over 1000 real-world projects and time-logged user business features. We've identified which development practices lead to faster delivery with higher quality. Each criterion is weighted based on its impact on project success, maintainability, and team velocity.
Using optional types (like TypeScript optional chaining, Rust Option, Swift Optionals) helps prevent null pointer exceptions and makes code safer. This applies to both frontend and backend codebases.
Features should be organized in their own directories with all related code (components, routes, models, utilities) contained within. This improves maintainability and makes the codebase easier to navigate.
Clear separation of concerns with consistent naming conventions (like route_, model_) makes the codebase more organized and easier to understand. This helps developers quickly locate and modify code.
Automatically generating type-safe API clients from backend schemas ensures type safety across the stack and reduces integration errors. Tools like OpenAPI, GraphQL codegen, or tRPC help achieve this.
Integrating security scanning tools (like Snyk, Dependabot, npm audit) into the CI/CD pipeline helps catch vulnerabilities early. Automated security checks should run on every build.
Comprehensive E2E tests that cover the full stack including API endpoints, database interactions, and authentication ensure that business features work correctly in production-like environments.
PRs should represent complete, testable business features rather than fragmented changes. This makes code reviews more meaningful and reduces the risk of breaking changes.
Languages with built-in memory safety (like Rust, Swift, Go) prevent entire classes of bugs including buffer overflows, use-after-free errors, and data races. This reduces runtime errors and improves overall code quality and security.
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