Identify and Fix Code Smells in TypeScript

Code smells suggest issues in a codebase. These issues can be minor and don't cause problems instantly, but they can lead to problems in the future, such as decreased maintainability, reduced readability, or difficulty scaling the application. Resolving code smells is important to improve code quality and have an efficient code base.

Some famous TypeScript code smells are: Long functions, duplicated code, and complex conditionals, which can affect performance and readability over time.

TypeScript code smells can pile up over time in large projects, leading to technical debt. AI tools can help spot and fix these issues automatically so teams can focus on building new features faster without worrying about code quality.

Let’s see some of the code smells of this job board.

Inadequate State Management

The existing code shows standard code smells in state management. Without clear loading indicators and error-handling states, users are left without feedback during form submissions, resulting in a confusing user experience. As shown below, AI code review tools help identify and suggest strategies to address such gaps.

Untyped Promise Response

Using any type in Promise returns can hinder TypeScript’s type safety and reduce clarity for other developers. Implementing strongly typed return values and input validation is a recommended approach.

Poor Accessibility

The form lacks proper accessibility attributes, making it difficult for screen readers to provide meaningful information to users with special needs.

Continuously Improving Code Quality with AI Code Reviews

Efficient Development: Automated code review tools continuously identify code smells during development, allowing programmers to focus on building better software features while reducing time spent on manual code reviews and pair programming sessions.

Technical Debt Prevention: Identifying and resolving code smells early helps development teams avoid more significant problems from developing into complex issues. This proactive method of code maintenance promotes the sustainability of codebases across various functions and class methods.

Enhanced Code Quality: Well-structured and tidy source code, complete with accurate type information, helps reduce bugs and mistakes. Consistent use of primitive types and type inference simplifies the scaling process, facilitating the smooth evolution of open-source projects as new features are introduced.