Ensuring quality code reviews when a team member is missing critical issues would call for an implementation of a structured review process. I would start by creating a checklist of key aspects to review e.g functionality, security, performance, and adherence to coding standards. Encouraging peer reviews could also do good since it increases the likelihood of catching critical issues. I would then provide feedback and training to improve the reviewer’s skills, highlighting areas where they have missed important details. Also, using automated tools like linters and static code analyzers to catch common issues early, allowing manual reviews to focus on more complex aspects, would be vital.

Maintaining high code quality requires a strong review process and consistent attention to detail. When a team member repeatedly missed critical issues, we introduced pair programming and automated tools to catch errors early. A real-life example was when we implemented a static analysis tool, reducing missed bugs by 30%. By combining automation with collaborative learning and regular training, we ensured fewer issues slipped through, improving overall code quality.

Reviews are the most critical part of the code quality of the software product. We can ensure that by doing like this 1. Self review - Making sure code is written according to requirements (Acceptance criteria) and standard code review standards 2. Before build, we can take peer review and check the correctness 3. After performing the unit test, go for code review from senior team members and upon approval, merge the code to dev or test environment for regression testing 4. Code execution where team members check whether code is working correctly in test or dev environment 5. PO review - PO can ensure again on correctness 6. Sprint reviews can help to work on feedback received from stakeholders

Address it early! Critical code issues are limited. We are talking about the type. Every problem is unique for that project, but every problem belongs to a little set of problems. Therefore, a good team lead is aware of most of the issues or possible runtime errors or other quality issues. Firstly, highlight the role at the beginning. After allocation, right before your team dive into work, try to conduct a form or a survey on "How much satisfied they are on the role" or "Is there anything else they are more confident to perform". It's a great hack to keep updating your teammates' potentials. Secondly, review at the beginning, review after every milestone of the project, review at the end. It's wise not to giveaway all hours until deadline

Start with a clear and defined approach to the first step of the function you're implementing. This sets the foundation for your code. Catch errors accordingly and use the printing function to write to the console. This allows you to see all the possible error messages and their origins. Be dynamic and fluid in covering all possible edge cases. Consider using automated testing frameworks like unit tests and implement specific tests for specific edge cases. This approach ensures you end up with robust function logic that covers all or almost all possible fails and errors.