When under tight deadlines, maintaining code quality requires a strategic balance of efficiency and discipline. Begin by prioritizing clear, modular code that’s easy to test and debug, focusing on the most critical features first. Leverage version control practices, like creating concise branches for specific tasks, which can help track changes without clutter. Implement quick, automated tests for essential functionality to catch errors early, preventing a pile-up of issues later on. Regular check-ins or brief peer reviews are valuable even in a time crunch, allowing others to spot potential issues.

Maintaining code quality is paramount. Break the project into smaller tasks and focus on writing clean, well organized code for each part. Use code reviews and pair programming to catch errors early and ensure consistency. Implement automated tests to quickly identify and fix issues. Stick to coding standards and document your code to make it easier to understand and maintain. Don’t cut corners on important practices like testing and refactoring, even if time is tight. Be disciplined and use good engineering practices.

Maintaining high quality code whilst under tight deadlines can be challenging, but it is imperative in computer science and data analytics. Continually reviewing code as you write it can save time in the long run and help make code more efficient and functional overall, as bugs are picked up and fixed earlier in the process than they would otherwise be. Additionally, set milestones and work towards individual goals within a coding project, it is likely that you will be working on multiple projects at once, so recording when a milestone has been reached can help you keep track of this. Lastly, speak to colleagues about your code and review it with them, they may have thought of aspects of your code in a different way than you initially did.

Break down complex tasks into smaller, manageable chunks and implement code reviews, even if brief, to catch major issues early. Automated testing and linting tools can help ensure functionality without slowing progress. Document key sections and logic to keep things clear for future revisions. Aiming for simplicity over perfection can help maintain quality while keeping the project on track.

To maintain high code quality, it is crucial to break the project into manageable tasks and focus on writing clean, organized code for each component. Use code reviews and pair programming to catch errors early and ensure consistency throughout the codebase. Automated tests are essential to quickly identify and fix any issues, helping to maintain code integrity. Adhering to coding standards and thoroughly documenting your code ensures that it is easy to understand and maintain in the long run. Never compromise on best practices like testing and refactoring, even when under time constraints. Staying disciplined and consistently applying good engineering practices is key to building sustainable, high-quality software.

Set Clear Priorities: Identify the most critical features to deliver first and focus on them to ensure essential functionality. Use Version Control: Implement version control (like Git) to track changes and facilitate collaboration. This also helps to isolate bugs more easily.

We can check whether the developer has made his own components or not for same functionality over various pages. We can make Unit tests mandatory in a PR for a certain functionality.