“Code first” and “API first” are two different approaches to software development, and they have distinct differences and use cases. Here are reasons to consider the “API first” over “Code First” approach:

Reasons to Consider API First:

Clarity and Consistency: Designing the API first helps ensure a clear and consistent interface for your application. This clarity can lead to fewer misunderstandings and mistakes during development.

Collaboration: API-first design allows teams to work in parallel. While the API is being designed, development teams can start implementing their components, leading to faster development cycles.

Documentation: API-first design encourages the creation of thorough and up-to-date API documentation from the beginning, making it easier for developers to understand and use the API.

Ecosystem and Integration: If you plan to make your application accessible to external developers or integrate it with third-party services, a well-designed API is crucial. An API-first approach ensures your API is suitable for external use.

Versioning and Maintenance: A well-designed API makes versioning and maintaining the system easier. It can be less disruptive to make changes or additions to the API without affecting the core application logic.

Reduced Dependencies: API-first can lead to better separation of concerns. It can reduce dependencies between the application logic and the API, making the system more modular and maintainable.

Testing: You can create test mocks for the API before it’s implemented, allowing for early testing of other components that rely on the API.


While the “code first” approach in software development can be effective in certain situations, there are several reasons why it might not always be the best choice. Some of the key reasons include:

Lack of clear requirements: Starting with code before understanding the project requirements thoroughly can lead to a mismatch between the code and the actual needs of the project. This can result in the need for frequent code revisions and changes, which can be time-consuming and costly.

Poor scalability and maintainability: Code that is developed without a clear architectural plan or design can become difficult to scale and maintain as the project grows. This can lead to a complex and unmanageable codebase, making it challenging for developers to make changes and enhancements in the future.

Increased development time: Without a clear plan and design, the development process can become inefficient and time-consuming. Developers may spend more time troubleshooting and fixing issues that arise due to the lack of a structured approach, leading to project delays and increased costs.

Higher risk of errors and bugs: Starting with code first can increase the likelihood of introducing errors and bugs into the software, as there might be a lack of proper planning and testing. This can result in a lower-quality product that requires extensive debugging and testing before it can be considered stable and reliable.

Inefficient use of resources: Developing code without a clear understanding of the project requirements and architecture can lead to the inefficient use of resources, including time, money, and human resources. This can ultimately impact the overall success and profitability of the project.

Considering these drawbacks, it is advisable to follow a structured approach that includes proper planning, requirement analysis, and design before delving into the coding phase. In summary, an “API first” approach is valuable when you want to prioritize a well-defined, consistent, and well-documented API, foster collaboration among development teams, and ensure your application is well-suited for integration with other systems and external developers. However, the choice between “code first” and “API first” should be based on your project’s specific requirements and constraints.

In conclusion, by defining clear API specifications early in the development process, Cognine enabled parallel development, fostering collaboration between frontend and backend teams. This approach aligns with the company’s commitment to delivering high-quality, well-documented APIs. This proactive approach helps create robust and scalable software solutions that meet both client and internal requirements.