Why do so many teams fail when trying to implement an API-first architecture, and why are they unable to scale, secure, and optimize the performance of their APIs in production?
According to the State of the API 2025 report, the shift from code-first to API-first strategies is accelerating: 82% of organizations have already adopted some level of an API-first approach, and 25% operate entirely under this model—a 12% increase from the previous year.
Adopting an API-first approach requires a complete transformation of the development culture, aligning teams, and establishing clear technical and organizational processes so that APIs can become high-value products.
In this article, we’ll explain what the API-First principle is and show you how organizations can implement it to achieve better performance, security, and scalability in their APIs.
What API-first is and what it isn’t
API-First, also known as contract-first, is a software development methodology that, as the name suggests, prioritizes the design and development of APIs, so that all other services within the company are aligned with them.
Adopting this approach involves transforming the way teams approach architecture, prioritize work, and collaborate across departments.
At Chakray Consulting, we rely on industry-leading tools such as WSO2 API Manager and Gravitee, with which we have partnered. These platforms facilitate the technical implementation of the model, help establish robust governance, accelerate development, and improve the security and scalability of APIs.
Key points:
- Rather than a rigid methodology, this approach is based on a working principle. As such, it involves an iterative and ongoing process.
- Teams must remain engaged throughout the API’s entire lifecycle—from design through evolution and versioning—to ensure consistency, governance, and alignment with business needs.
API-first/contract-first vs code-first

API-first vs code-first
Uno de los cambios más relevantes al operar bajo un enfoque API-First es dejar de considerar la API como un mecanismo de exposición técnica y gestionarla como un producto digital.
One of the most significant changes when adopting an API-first approach is to stop viewing the API as merely a technical exposure mechanism and instead manage it as a digital product.
In a traditional (backend-first) model, the code defines the logic, and an API is then exposed as an access layer.
In contrast, in an API-centric strategy, the starting point is the API contract (typically defined using the OpenAPI Specification). That contract becomes the single source of truth: it guides backend development, allows frontend and mobile teams to work in parallel, and reduces dependencies between teams.
Treating the API as a product involves:
- Define your users (whether internal teams, partners, or third parties).
- Design clear, consistent, and versionable contracts.
- Prioritize the developer experience (DX) through comprehensive documentation and real-world examples.
- Establish metrics for adoption, performance, and usage.
- Manage its lifecycle (versioning, deprecation, and evolutionary roadmap).
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Comparison chart: API-first/contract-first vs. code-first
Below is a comparison of these two concepts in practice:
| Criteria | Backend-First | API-First |
| Starting point | Business logic development | OpenAPI Specification |
| Source of truth | Backend code | API Specification |
| Team participation | The backend takes the lead; the frontend follows | Collaboration across design disciplines (backend, frontend, product, architecture) |
| Parallel processing | Limited, causes crashes | Implemented using mocks and a defined contract |
| Documentation | Delayed or incomplete | A key player from the start |
| API Governance | Reactive | Proactive and standardized |
| Scalability | It can create strong couplings | Promotes decoupling and microservices |
| Versioning | Often improvised | Planned from the design stage |
| Security | Add this at the end of the text | Integrated at the contract level (OAuth 2.0, OIDC, JWT, scopes) |
| Developer Experience (DX) | Variable | Priority |
| Impact on architecture | Monolithic or partially decoupled | Compatible with microservices architecture and API gateways |
| Risk of rework | High (late changes in integration) | Low (early contract validation) |
| Observability and metrics | Implemented later | Defined at the design stage (traceability headers, correlation, structured logging) |
| Payload optimization | Not considered from the outset | Designed based on the contract (paging, filtering, field selection, partial payloads) |
Team organization in an API-first model
Adopting an API-first strategy requires restructuring not only the technical architecture but also the way teams are organized.
As described in Gravitee, based on the four types of teams found in an organization according to Team Topologies, and considering the benefits of the API-based approach mentioned by Swagger, the success of this model depends largely on establishing clear, collaborative, and well-defined structures from the outset.
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Domain-driven teams
In a model like this, teams are typically organized around specific business domains (for example: payments, customers, inventory). Each team is responsible for designing, developing, and maintaining its own APIs.
This approach promotes:
- Greater autonomy in decision-making
- APIs that better align with business needs
- Reduced dependencies between teams
In addition, the API contract (typically defined using OpenAPI) becomes the central point of communication between technical and product teams.
Platform equipment: standardization and scalability
It is important to have a platform team responsible for providing a common foundation for the entire organization.
This team is typically responsible for:
- API Gateway Management
- Security (authentication, authorization, rate limiting)
- API Catalog and Discovery
- Definition of Standards and Best Practices
Its goal is not to develop business APIs, but to enable other teams to do so in a consistent, secure, and scalable manner.
Enabling teams
In organizations that adopt this approach, it is common to establish enablement teams that provide cross-functional support.
Its main function is:
- Assist with contract design (OpenAPI / Swagger)
- Promote best practices for versioning and documentation
- Support teams in adopting the model
This approach reduces the learning curve and accelerates organizational maturity around APIs.
Contract-based collaborative work
One of the cornerstones of this approach is that development revolves around the API contract.
This allows different roles to work in parallel:
- The frontend can proceed using contract-based mocks
- The backend implements the business logic
- QA validates scenarios from early stages
The result is a reduction in bottlenecks and improved delivery times.
Steps for Implementing an API-First Strategy
As we’ve seen, to implement an effective API-focused strategy—rather than simply changing the order of development—it’s necessary to establish a clear, collaborative, and repeatable process that aligns product, frontend, backend, QA, and operations teams around well-defined API contracts that guide development from the start.
Below, we outline the steps our team at Chakray follows to manage API management projects.
Step 1: Design the contract before writing the code (Contract-First Design)
The contract defines how to interact with the service, regardless of its implementation. This allows different teams to work in parallel using a common specification that describes the API’s expected behavior.
A well-drafted contract typically includes:
- endpoints and routes
- HTTP methods
- input parameters
- data structures
- status codes
- authentication and security requirements
In this way, the contract becomes the source of truth; as a result, API development no longer depends on the backend but instead focuses on the API user experience.
This approach makes it easier to:
- parallel development across teams
- automatic artifact generation
- early API design validation
- reduction in integration errors
In organizations that adopt an API-first approach, the contract is typically managed as a separate artifact within the software development lifecycle, allowing it to be reviewed, versioned, and validated before any business logic is implemented.
How to define contracts using the OpenAPI specification (OAS)
The OpenAPI Specification (OAS) is the most widely used standard for describing RESTful APIs. It allows you to define an API’s behavior in a structured way using documents in YAML or JSON format that can be interpreted by automated tools.
An OpenAPI specification describes elements such as:
- routes and operations
- parameters and headers
- data models
- response codes
- authentication
- examples of requests and responses
This allows multiple tools to use the contract to generate documentation, validate implementations, or create API mocks.
Simplified example of an OpenAPI specification:
paths:
/orders:
get:
summary: Retrieve list of orders
responses:
“200”:
description: Successful response
Tools that work with OpenAPI make it possible to automate much of an API’s lifecycle.
Definition break
In an API-centric environment, the API contract should be stored in a version-controlled repository, typically using Git.
This repository contains the API specifications and allows for the controlled management of their evolution through processes similar to those used for code.
Keeping specifications in a dedicated repository offers several benefits.
Exchange control
Changes to the contract are managed via pull requests, which allows for technical reviews before the API changes are approved.
Automatic validation
Continuous integration pipelines can run specification validations, detecting errors or incompatible changes before they are deployed.
Common tools for this process include:
- Spectral (OpenAPI linting)
- Redocly CLI
- OpenAPI Diff
Automatic generation of artifacts
Based on the contract, various components can be generated to facilitate development:
- Client SDKs
- Server stubs
- Documentation
- Mocks
Governance by design
API governance defines the rules and standards that govern the design and evolution of APIs within an organization. It is important to establish it from the outset to avoid inconsistencies between APIs, duplication of services, incompatible data models, and security issues when multiple teams develop APIs in parallel.
To this end, it is necessary to establish a data governance policy that outlines the responsibilities of each team member and the security measures that will be implemented.
It’s worth keeping in mind:
- Endpoint naming conventions
- Path and resource design
- Response and error formats
- Versioning strategy
- Authentication and security requirements
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Step 2 – Simulating the API using mocks
Once the API contract has been defined, the next step is to generate a simulated version of the service. This process is known as API mocking and allows you to simulate the behavior of the endpoints even before a real implementation exists.
This is important because it allows front-end, QA, and integration teams to start working before the backend is finished, facilitating parallel development and validating the API design from the early stages.
To do this, you need to:
- Generate a mock server that responds to requests according to the specification defined in the API contract.
- Define clear examples of requests and responses.
- Simulate successful responses and error scenarios.
- Verify that the endpoints comply with the defined contract.
- Enable early integration testing.
At this point, both WSO2 API Manager and Gravitee offer specific features that simplify this process without the need to develop mocks from scratch:
WSO2 API Manager
- Allows you to create simulated APIs using scripts (e.g., in JavaScript)
- Enables you to define dynamic responses based on the contract
- Ideal for more advanced prototypes or scenarios involving conditional logic
- Allows you to simulate the actual behavior of the service before deployment
Gravitee
- Makes it easy to create mocks directly from the API definition
- Allows you to quickly configure simulated responses from the platform
- Ideal for setting up test environments in just a few minutes
- Very useful in the early stages or in collaborative environments
In addition to mocks, both platforms add value in another key aspect of the approach, documentation:
- Automatically generate developer portals
- Display contract information: endpoints, parameters, examples, etc.
- Facilitate the use of APIs by other teams or third parties
In the case of Gravitee, this portal can be further enhanced:
- Allows you to add additional documentation in Markdown
- Makes it easy to include guides, use cases, and functional content
- Reinforces the approach of treating the API as a product, not just an interface
Step 3 – Implementing the contract-based API
After validating the contract using mocks, we proceed to implement the actual API. In this phase, the goal is to develop the service logic in accordance with the previously defined contract.
This is important because it ensures consistency between the design and the implementation, preventing changes to the interface that could affect API consumers.
That is why it is important:
- Implement the endpoints defined in the contract
- Continuously validate that the implementation complies with the specification
- Validate requests and responses against the contract
- Correctly implement the defined HTTP methods
- Perform contract testing and integration testing
- Automate validations within the CI/CD pipeline
Step 4 – Cultural Adoption of the API-First Approach
Adopting an API-focused strategy also involves a shift in the way organizations design and manage their services. APIs are no longer merely technical interfaces; they have become products that must be designed, documented, and continuously improved.
This change is important because it promotes the reuse of services, improves collaboration among teams, and facilitates the integration of the organization’s systems.
To achieve this, it is necessary to establish practices that encourage the adoption of APIs across teams and improve the experience of developers who use these interfaces.
Some of the practices to consider as architecture evolves include:
- Treat APIs as products within the organization
- Maintain clear and up-to-date documentation
- Facilitate the discovery and reuse of APIs
- Monitor API usage to improve their development

Common Mistakes When Implementing API-First (and How to Avoid Them)
Adopting an API-centric approach can yield significant benefits, but it also carries numerous risks if not implemented with a clear strategy. Below, we summarize the most common mistakes:
| Error | Description | How to avoid it |
| Start with code instead of design | In theory, the API-First approach is adopted, but the backend is developed first, leading to inconsistencies and rework. | Define the contract (OpenAPI) before coding and validate it with the teams. |
| Vaguely defined contracts | APIs that are ambiguous or too closely tied to internal implementation, making them difficult to use. | Design user-centric APIs and review agreements with stakeholders. |
| Inadequate documentation | The documentation is left until the last minute or isn’t kept up to date. | Automatically generate documentation from the contract and maintain it as the single source of truth. |
| Lack of versioning | There is no plan for how the API will evolve, which creates compatibility issues. | Define a versioning strategy from the outset and communicate any changes. |
| Short-term focus | APIs are designed with only immediate needs in mind, which limits their scalability. | Design interfaces that are decoupled from the backend and designed for future reuse. |
| Lack of cooperation | Teams work in isolation, resulting in APIs that are poorly aligned with users. | Validate contracts with the frontend and use mocks to enable parallel development. |
| Inadequate governance | A lack of standards or excessive control that stifles innovation. | Establish clear guidelines and automate compliance without hindering teams. |
Frequently Asked Questions About the API-First Approach
What is the difference between API-First and Code-First?
- API-First: First, the contract (API) is designed, then it is implemented.
- Code-First: The logic is developed first, then exposed as an API.
Recommendation: Use the OpenAPI Specification (OAS) as the standard for defining contracts from the start.
Is API-First only for microservices?
No. Although it works very well with microservices architectures, it can also be applied to monolithic architectures or hybrid systems to improve service integration, scalability, and maintainability.
What tools are used in an API-first approach?
Some of the most common ones:
- OpenAPI / Swagger (contract definition)
- Postman (testing and collaboration)
- API gateways (security and management)
- Mock servers (parallel development)
Recommendation: Use platforms such as WSO2 or Gravitee to cover the entire lifecycle (design, security, deployment, and monitoring).
How does API-First improve scalability?
It allows services to be decoupled and facilitates the integration of new systems without having to restructure the entire architecture, which supports the system’s gradual growth.
Does an API-first approach improve security?
Yes, provided it is implemented correctly. By establishing standards from the outset, consistent policies for authentication, authorization, and traffic control can be applied across all APIs.
Recommendation:
- Use OAuth 2.0 + OIDC for authentication
- Implement JWT for identity propagation
- Define scopes in the contract
- Apply rate limiting and input validation
How do you manage versioning in an API-first strategy?
Versioning is the most important factor in preventing existing integrations from breaking.
Recommendation:
- Use SemVer (Semantic Versioning) to define versions
- Include versioning in the URL (/v1/, /v2/) or via headers
- Plan for deprecation from the design phase
What about observability?
In an API-first approach, observability must be built into the design.
Recommendation:
- Define traceability headers (e.g., X-Correlation-ID)
- Standardize logs and metrics from the contract
- Integrate with monitoring tools from the start
¿Cuándo no conviene usar API-First?
- Proyectos muy pequeños o prototipos rápidos
- Equipos sin experiencia y madurez en el diseño de APIs
- Sistemas que no requieren de integración externa
When should you avoid using an API-first approach?
- Very small projects or rapid prototypes
- Teams lacking experience and expertise in API design
- Systems that do not require external integration
If your organization is making the transition to an API-first architecture or looking to optimize your API ecosystem, at Chakray we have the experience and capabilities to guide you through the entire process: from strategy definition to implementation and system governance.
Connect with our experts today and take your architecture to the next level.









