Você está enfrentando problemas de desempenho de software. Como você prioriza correções rápidas sem sacrificar a qualidade?

First, confirm the app has actual performance issues by reviewing analytics. If none are available, introduce measures to track user-centric metrics, such as the time taken to scan a QR code in a payments app. A quick fix could involve removing certain screen elements, animations, or transitions. Conduct an A/B experiment to disable these items and assess their impact on product metrics. If the impact is neutral, continue in this direction, targeting low-hanging fruit. Ultimately, retain only the elements that positively affect user satisfaction, retention, and conversion metrics.

Assess Impact and Effort: Evaluate the impact of each issue and the effort required to fix it. Prioritize issues that are high-impact but low-effort for quick wins. Maintain Code Quality: Ensure that even quick fixes adhere to coding standards and best practices. Use code reviews and automated testing to catch potential issues early. Monitor and Iterate: After deploying fixes, monitor the system to ensure the issues are resolved and no new problems have been introduced. Be prepared to iterate on your solutions if necessary.

To prioritize quick fixes for software performance issues without sacrificing quality, begin by identifying and categorizing the issues based on their impact on user experience and business objectives. Focus first on critical performance bottlenecks that affect a large number of users or core functionalities. Implement quick fixes for these high-priority issues while ensuring that they are well-tested and do not introduce new bugs. Use monitoring tools to track the impact of these changes and gather feedback. Simultaneously, plan for longer-term, more comprehensive solutions to address underlying problems, balancing immediate needs with sustainable, high-quality improvements.

Find the performance bottleneck. There are tools to help you monitor and test the performance. Find out which fit your case. Also note that sometimes it could be environment and not the code issue (can you test that?). Monitoring continuously is good... but probably nobody's gonna stare at PC screen admiring the metrics whole day (implement some rules and alerts).

First I would hunt for roundtrips, needless waits in synchronous calls and inefficient management of connections or threads. Those are the most costly. Then - maybe the application does something it does not need (like eager fetching or simply trying to select too many rows from DB). Sometimes - it could be that your code uses tools or dependencies that simply don't fit. Maybe caching could caching help? Does asynchronous execution make sense? After optimizations - check the impact (and here the performance tests come handy again).

Test thoroughly to ensure accessibility is consistently achieved across all aspects of your application. Incorporate automated and manual accessibility testing into your development pipeline to catch issues early. Encourage developers to use screen readers, keyboard navigation, and other assistive technologies during testing to experience the application from the user's perspective. Regularly update testing practices to align with evolving accessibility standards, ensuring that every release is both functional and inclusive for all users.