<ul data-eligibleForWebStory="true">Defining the problem the software aims to solve with clarity and specificity is crucial before writing any code.Decomposing the software into smaller, logically distinct components promotes modularity, reusability, and parallel development.Selecting the appropriate programming language and tools impacts development speed, code readability, performance, and maintainability.Creating a formal design document aids in capturing high-level architecture, system interactions, and potential bottlenecks.Consistent coding style enhances readability, maintainability, and codebase navigability in collaborative projects.Version control systems like Git enable tracking code changes, safe experimentation, and efficient collaboration.Building a minimal viable product (MVP) early validates assumptions and allows for iterative development based on user feedback.Writing self-explanatory code reduces reliance on additional documentation and enhances code review and debugging.Testing, including automated unit, integration, and regression testing, ensures software reliability and stability.Comprehensive documentation is essential for user onboarding, maintenance, and community contribution.Implementing structured exception handling and proper error logging enhances resilience and user experience.Performance tuning should focus on genuine bottlenecks without compromising code clarity or extensibility.Security measures like input validation, encryption, and access control should be integrated into software from the start.Runtime monitoring and logging are critical for performance understanding, issue diagnosis, and user analytics support.Iterative development, user feedback, code reviews, and continuous integration/deployment contribute to software adaptability and longevity.