Você se depara com a integração de tecnologias de ponta. Como você mantém a estabilidade do código?

Organizing along "functionality" lines is just bad architecture—antiquated thinking. Independent components with impermeable boundaries are a good thing, but they are best organized along domain boundaries. Read up on Domain Drive Design. Vaughn Vernon's "DDD Distilled" is very good.

While Modularity is important, its equally important to understand the extent of it. With modularity comes a need to have automated systems in place for testing, quality checks and debugging each modules, plus their integrations. Modules split around business verticals can also be an important consideration, to mitigate and minimize impact to the business. Additionally, composition of team and the bandwidth would be a good factor to consider. Modularity without automations and quality controls could easily become an overhead. Technical decision makers must understand parameters specific to their team/business while preparing their plan/strategy.

Being a developer throughout my life, dependency management is most important aspect for changing code versions. Also having a robust CI /CD pipeline to revert back to older version.

Embracing modularity means designing your software such that it is composed of small, independent, and interchangeable modules. This enhances code stability through better organization, ease of maintenance, and testing. Functional Decomposition: Break down your application into distinct modules where each module handles a specific responsibility or functionality. Single Responsibility Principle: Ensure each module or class does one thing and does it well.

Ideally, TDD ( test driven development) or BDD ( behaviour driven development) methodology should be followed. these frameworks make sure automation and test suite covers all the different scenarios of features within the product.

To maintain the stability continuous testing is the most crucial part of development and platform engineering. In this Moderna era things are changing very fast whether it’s an infrastructure, business requirement or process and all these part of IT needs a continuous monitoring. Infrastructure upgrade might be rolling update but it may break your application programming interface. Your business may trigger a change of more compute or memory which your infrastructure may not support at that extent. These decoupled ecosystem gives us so many benefits but it comes with a cost and that we can measure and evaluate through continuous testing. Stable systems define your faster ready to market strategy and long term win.

I strongly recommend implementing Selenium-based automation testing on daily builds in the automated test environment right after the build completion. This approach adds significant value by enabling us to proactively address any breaking changes, whether at the architectural or functional logic level, thereby ensuring high quality. Although it was initially challenging, the benefits have been truly remarkable.

To be resilient against any changes to code include integration of cutting-edge technologies, automated testing is your key to success. Ideally, various kinds of automated testing should be incorporated like unit tests, integration, functional etc, however, if you have to select one due to lack of resources then start with unit testing. Unit tests provide the added benefit of catching issues earlier in the development life cycle thus reducing the costs associated with them. To achieve the desired results, unit testing needs to be used in tandem with a code coverage tool to ensure sufficient test coverage is provided

Continuous testing is vital for maintaining stability during development. Integrate automated tests—unit, integration, and end-to-end—into your workflow to catch issues early and ensure new features don’t disrupt existing functionality. By running tests after every change, you can quickly identify and resolve problems, preventing a buildup of issues that could become harder to manage later. Continuous testing not only safeguards against regressions but also enhances overall code quality, ensuring a more reliable and robust software product as it evolves.

When doing version control, you should pay attention to branching: - Main/Master Branch: This branch contains stable code and should only receive thoroughly tested changes. - Development Branch: Used to integrate and test changes before merging them into the main branch. - Feature Branches: Create separate branches for each feature or specific change. This isolates changes and allows testing each part of the codebase without affecting the main branch. - Bugfix/Hotfix Branches: Used to address urgent issues without disrupting the main development branches.

It's a mistake to use branching at all. Google "trunk-based development." Branches create nothing but integration problems, dependencies, and massive rework.

Version control is essential for software development, whether incorporating new technologies, adding new features, or fixing bugs. The primary branch contains the last known good state of the code while branches contain experiments. If the experiments fail, the primary branch continues to be available for deployment and further development.

It's a truly crucial point , one of the things that helps maintaining code sustainability when speaking about VCS: - working branches and deployment branches: there should be one working branch for the team or multiple branches for each developer and when I say working branch I mean developers will do their work and test locally and push to this branch , but this branch will not be released to the targeted environment directly but code from it will be merged to another branch which will be released and its called a release branch , implementing this is one of the best practices.

Tools like Git are essential in this process, enabling precise tracking of changes and efficient management of various code versions. By leveraging version control, you can experiment with innovative features in isolated branches, allowing for rigorous testing before merging them into the main codebase. This method not only safeguards your production environment from potential disruptions but also ensures that any destabilizing changes can be swiftly addressed. Embracing this practice ensures that your integration efforts enhance, rather than compromise, the stability of your software.

Code reviews improve the software developers as well as the software itself. A good code reviewer is a mentor. Mentors help guide and help a mentee understand why a path is worth taking. Equally important is to understand when to let the author follow their own path, not just the one the reviewer would prefer.

Code reviews are integral to preserving stability in software development. This process involves having one or more developers, who were not involved in writing the code, scrutinize new changes. Code reviews help identify errors, ensure adherence to coding standards, and foster discussions on potential improvements. This peer review mechanism not only prevents the introduction of bugs but also facilitates knowledge sharing about new technologies being integrated. By promoting a collaborative approach, code reviews enhance both the quality and stability of your software, ensuring that each iteration meets high standards before deployment.

Code reviews allow team members to catch bugs and potential issues before the code is merged into the main codebase. Reviewers may identify edge cases or scenarios that the original developer didn’t consider, leading to more robust code. Code reviews ensure that the code adheres to the team’s coding standards, conventions, and best practices. This helps in maintaining a uniform codebase, which is easier to work with and understand.

Essa etapa é crucial para assegurar que as convenções e boas práticas sejam mantidas em todo o projeto. É também uma excelente forma de disseminar conhecimento entre a equipe, especialmente ao lidar com novas ferramentas ou técnicas. Esse processo cooperativo fortalece o desenvolvimento do software, contribuindo para um produto final mais robusto e confiável.

Managing dependencies effectively is essential for keeping my project running smoothly. It helps me avoid compatibility issues and conflicts between different libraries and frameworks. By staying on top of version updates and security patches, I can ensure that my application is stable and secure, making my job a lot easier and more predictable.

If you have to manage dependencies, then either your organizational structure of the structure of your work is out of wack. Don't manage dependencies; eliminate them.

Effective dependency management is essential when integrating cutting-edge technologies, as these often involve multiple libraries and frameworks. Keeping track of all dependencies and their versions is crucial to avoid conflicts that could destabilize your software. Employ dependency management tools to automate updates and ensure compatibility across your project. Regularly reviewing and updating dependencies helps maintain stability while allowing you to leverage the latest improvements and security patches. By staying vigilant with dependency management, you ensure that your software remains robust and up-to-date.

Dependencies can bring instability, more so with cutting-edge technologies, which have high frequency in updates. An effective strategy on how to handle dependencies: 1. Use Tools: Automate the management of dependencies using tools like npm, pip, or Maven, which are necessary for updating and conflict resolution. 2. Lock Versions: Lock versions of dependencies to avoid erratic changes and guarantee consistency between environments. 3.Audit and Update: Regularly review dependencies, as some updates may offer security patches and improvements. Test every change in a staging environment thoroughly before releasing it to production.

This smart approach allows for careful monitoring and feedback collection, helping to identify and address issues early on. By incrementally expanding the rollout, it reduces the risk of widespread problems and ensures that any potential impacts are managed effectively, all while keeping the system stable and users satisfied.

Fail fast and fail forward - just not in production. The concept of rolling out small, incremental changes is the foundation to managing risk and absolutely necessary for maintaining the trust relationship with the business.