I used to be more on the perfectionist side. Wanting my code to be perfect before deploying etc.. Until I realised, if I am truly always learning new things, then the reality is I will never have perfect code, because I can always improve it one way or another. As long as my code doesn't have any performance problems, security issues etc.. then its better to continuously deploy and make improvements in order to meet business and user requirements. Just always be quick with your turn around by making your sprints and change cycle small and iterative.

💡 Prioritize Critical Issues: Address the most urgent client requests first while ensuring that any quick fixes don’t compromise overall code quality. 💡 Implement Short-Term Solutions: Provide immediate solutions with a plan to refactor and improve the code later, maintaining a balance between client satisfaction and long-term code integrity.

Creo que no existe la receta perfecta, pero mantener a los clientes informados sobre las compensaciones entre tiempo y calidad es fundamental, ya que una comunicación efectiva sobre estos compromisos a menudo convence a los clientes de la importancia de no sacrificar la calidad, lo que contribuye a una satisfacción más sostenible a largo plazo. Finalmente podria decir que una combinación de priorización inteligente y comunicación transparente podria garantizar la satisfacción del cliente.

It requires prioritization and clear communication. Start by assessing the urgency of the requests and the potential impact of lower code quality. If possible, address the most critical client needs with quick, yet well-tested, fixes. For larger issues, explain the trade-offs to the client and propose a phased approach, where immediate needs are met while planning for more thorough improvements later. Implementing automated testing and code reviews can help maintain quality, even under tight deadlines. Ultimately, aim to deliver functional solutions without compromising long-term maintainability.

Assess the urgency of client requests versus the potential impact of code quality issues. If a request is truly critical, prioritize it, but ensure that quick fixes don't introduce technical debt.Instead of striving for perfection in one go, aim for continuous improvement. Address the most pressing quality concerns immediately, but leave room for iterative enhancements in future sprints.Implement automated testing to catch potential quality issues early. This allows you to respond to client requests quickly without compromising the integrity of your codebase.Keep clients informed about the trade-offs involved in rushing changes. Sometimes, extending a deadline slightly to maintain quality can be more beneficial in the long run.