How can you avoid anti-patterns in systems design?

Los anti-patrones son soluciones aparentemente intuitivas pero incorrectas para problemas recurrentes. En el dise?o de sistemas, los anti-patrones representan enfoques que inicialmente pueden parecer efectivos, pero que, con el tiempo, revelan problemas significativos y conducen a resultados no deseados. Reconocer y comprender los anti-patrones es esencial para tomar decisiones de dise?o informadas y evitar caer en trampas comunes que pueden afectar negativamente la eficiencia y la calidad de un sistema.

Los anti-patrones en el desarrollo de software son básicamente malas prácticas o patrones de dise?o ineficientes que se utilizan durante el proceso de desarrollo de software. Imagina que estás construyendo un McDonalds, pero en lugar de seguir un plan bien pensado, decides improvisar a medida que avanzas. Esto lleva a problemas como planchas mal ubicadas, freidoras que no encajan bien, o una estructura inestable o confusa. Del mismo modo, los anti-patrones son como esos errores en la construcción: enfoques que parecen buenos al principio, pero que a la larga crean más problemas, código confuso o difícil de mantener. Es importante identificarlos para crear software eficiente y de alta calidad.

La compétence clé en système d'information qu'est la gestion des bases de données revêt une importance cruciale. Elle englobe la conception structurée des bases, l'optimisation des performances, la sécurité des données, les stratégies de sauvegarde, et l'adaptation aux évolutions technologiques. En tant que professionnels nous devons ma?triser la modélisation des données, l'indexation, l'authentification, et rester à jour avec les tendances comme l'automatisation et le cloud computing. Nous devons garantir aussi l'intégrité et la disponibilité des informations, cette compétence joue un r?le central dans le fonctionnement efficace des systèmes d'information, assurant ainsi la pertinence et la compétitivité des organisations.

Some examples of anti-patterns include: Hard-coding values: using hardcoded values instead of variables or constants. This can make code difficult to maintain and less flexible. Global variables: using global variables to store data that is shared by multiple parts of the code. This can lead to data conflicts and make code difficult to understand. Overengineering: spending too much time and effort designing and implementing a system, even when it is not necessary. This can lead to complex systems that are difficult to maintain.

Anti-patterns are common pitfalls or counterproductive practices that can emerge in various aspects of software development, architecture, design, and project management. These patterns, despite often seeming like reasonable solutions, can lead to inefficiencies, poor code quality, and increased maintenance challenges. They are essentially practices that should be avoided as they hinder the development process and may result in negative consequences. Identifying and understanding anti-patterns is crucial for developers and teams to make informed decisions and maintain healthy, sustainable software systems.

Reconocer anti-patrones en el dise?o de sistemas requiere experiencia y atención. Familiarízate con patrones comunes, realiza revisiones de código, monitorea el rendimiento y escucha la retroalimentación del usuario. Utiliza métricas y análisis de datos, aprovecha la experiencia del equipo y mantén una documentación clara. La formación continua y revisiones periódicas ayudan a identificar problemas antes de que se conviertan en anti-patrones. Mantente alerta a se?ales de degradación del sistema para abordar proactivamente cualquier patrón negativo.

Main cause for an anti-pattern, is the lack of abstraction and layering in system requirements and system architecture . They are often caused by over "crowding" requirments in onev architectural feature.

Antipatterns are solutions to design problems that seem to work well at first, but can lead to more problems in the long run. They can be caused by a lack of knowledge, experience, or discipline.

Recognizing anti-patterns is crucial for maintaining efficient and maintainable systems. Anti-patterns are common pitfalls or counterproductive practices that can lead to problems in code, architecture, processes, or team dynamics. Recognizing anti-patterns is a skill that evolves with experience, collaboration, and a commitment to continuous improvement. By staying informed, engaging in code reviews, and fostering a culture of feedback, developers can proactively identify and address anti-patterns, contributing to the creation of robust and maintainable systems.

I think that artificial intelligence could be used by training a dataset to be used in an llms. The system would require a mechanism that would allow the identification of antipatterns in the code through reinforcement learning; a good indicator for reinforcement would be the software execution time metrics. The lms should have the way to go through the code, run the test in a code window and obtain the metrics, with the metrics obtained it could not only identify the antipattern but also interactively suggest changes to the software that will improve its standardization and performance.

Evitar anti-patrones en el dise?o de sistemas requiere educación continua, revisiones de dise?o, pruebas rigurosas y documentación clara. Fomenta la mentoría y la colaboración, realiza análisis de riesgos y escucha activamente las preocupaciones del equipo y los usuarios. Sé flexible y adapta tu enfoque para prevenir soluciones forzadas. Integrar estas estrategias en el proceso de desarrollo fortalece la resistencia del sistema, evitando la adopción inadvertida de anti-patrones y promoviendo un dise?o eficiente y sólido.

An alternative approach to prevent anti-patterns is to visualize system design before starting the coding process. Utilizing techniques such as the C4 model encourages the definition of design through Context, Containers, Components, and Code. By laying out the design using such model, it becomes more straightforward to identify potential anti-patterns, facilitating discussions and the implementation of appropriate solutions.

Nous rencontrons toujours des problèmes avec les applications développées par une seule personne, qui utilise généralement une ou plusieurs sortes d'anti-patterns sans le savoir. Pour éviter cette conception anti-pattern il est recommandé de mettre en place les mesures suivantes : - Une séparation des taches, entre la conception, le codage, la validation de code et le test. - Une procédure de développement qui s'appuie sur un standard ou une méthodologie de développement connue et qui exige une charte de développement sécurisé.

Use variables or constants to store values that are used repeatedly. This will make the code more concise and easier to understand, and reduce the risk of errors. By learning about antipatterns and design principles, you can develop a deeper understanding of how to write quality code. This will help you avoid antipatterns and create more robust and successful software systems.

Testing, testing, testing! Performing intensive testing during the development process can positively contribute to developing systems with little or no anti-patterns. Include Unit testing, integration testing, and performance testing.

No siempre depende de las habilidades de los desarrolladores, implica costos y tiempo, los métodos básicos son la planificación y las buenas practicas,

Aside from what has already been mentioned, I believe that in the tests, not only should the "code efficiency" performance be taken into account as the sole parameter, but also that the refurbrished code represents the optimal choice concerning integration, speed, and scalability (code efficiency). Many developers only focus on making their code work, but few genuinely invest time in discovering the best solution to problems.

Testing refactored code requires a comprehensive approach, encompassing understanding existing tests, writing new tests, leveraging automated tools, and considering various testing types. By prioritizing regression testing, collaborating in code reviews, and ensuring documentation is updated, developers can confidently deliver refactored code that meets quality standards.

Seguimos en lo mismo, como coloque en los demas articulos, los problemas derivan de los tres puntos de desarrollo... a mi personalmente soy mas a desarrollar cod paralelos, que sirvan de respaldo al que opera de forma comercial y requiere un desarrollo mas rapido.

Awareness: Actively seek information about common anti-patterns in your field/business domain. Review real-world examples and case studies where anti-patterns have caused problems. Understanding the context and consequences is crucial. Most engineering teams would share their experiences on various blogs, read and learn from them. Documentation: Maintain a repository or knowledge base where you document different anti-patterns, their manifestations, and the lessons learned. Look for patterns among various anti-patterns. Understanding commonalities can help you recognize warning signs in future projects.

As a technology educator, I believe that genuine learning about the topic must be approached through its implications. By initially demonstrating to students the effects on performance, time, and cost associated with using antipatterns, we can more effectively persuade them to avoid their utilization.

Acho que pouca gente tem no??o do quanto os patterns evitam problemas futuros. Por este pensamento, vou listar alguns mais frequentes; - problemas de manuten??o do código: se o criador código realizar a manuten??o, deve saber como o mesmo está funcionando, porém, caso outra pessoa tenha que realizar este trabalho, seria um gasto de tempo muito grande pra entender o mesmo e só depois, realizar o que precisa; - estrutural: caso precise entender um projeto novo, ao perguntar pra quem o realizou qual(is) padr?es usou, fica mais fácil entender como funciona a estrutura, diferente de quando n?o se tem o padr?o, pois ai seria necessário uma engenharia reversa ou debug para entender.

Congratulations on the text! I would add the importance of documentation with code standardization, versioning, and testing within the company. From experience, each company has its own methodology. This documentation helps new developers develop projects according to the standards and policies of the company they are working for, and old developers validate that their project follows the described determinations.