Why API-first is the key to fast development and scalable AI integration

Updated on June 13, 2025

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Originally published on September 21, 2023

What is API-first?

API-first is a modern development process that involves designing the application programming interface (API) before the rest of the application. This strategy treats the API as a core product that all your services depend on, rather than a secondary communication layer to be built later in the software development lifecycle.

When a business takes an API-first strategy, it begins the application development process by considering several factors: What data would an internal stakeholder, outside development team, or business partner want to access? What actions would they need to perform? What endpoints would they need to make this happen?

Once the development team has considered these factors and worked with various stakeholders to define an API contract, they build the API. Then, they build the user interface and the rest of the app.

Why does API-first matter?

An API-first strategy can seriously supercharge a company’s digital transformation.

Consider the famous story of Amazon’s API-first mandate. In 2002, Jeff Bezos sent out a memo explaining that every team at the company must “expose their data and functionality through service interfaces,” and that they use “no other form of inter-process communication.” The teams also had to design these service interfaces “from the ground up to be externalizable [...] to developers in the outside world. No exceptions.”

In the aftermath of this mandate, every team at Amazon considered what resources and data they had, then made them available to other teams and external developers through an API.

This shift to API-first jump-started the company. Over a handful of years, Amazon transformed from a bookseller to a dominant, multibillion-dollar, cloud-computing powerhouse.

Two words: microservices architecture.

Many innovative businesses are ditching monolithic applications, which bundle a series of business functions and client applications into a one-size-fits-all package. Instead, they are adopting a custom approach. They mix and match software components (such as microservices) to build a modular tech stack that offers the functionality they need to face their unique business challenges.

APIs are essential to this kind of microservices architecture. They act as an interface layer that enables the various components in the microservices ecosystem to communicate with each other and share functionality.

You may already see why the API-first approach is so important. Because this strategy focuses on defining, then building, the API connections between services before any other work is done, it produces the most flexible and easy-to-use APIs. And this makes it easier to build out a robust microservices architecture.

API-first also offers the best dev experience, as there is no hidden functionality from developers consuming your API. Everything is readily available as opposed to some tools designed code first or UI first, where you might be able to perform some action in the UI that is not readily available programmatically. This creates friction for developers who want to automate tasks or integrate the system into broader workflows.

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API-first vs. code-first

To dig deeper into that last point, let’s compare API-first strategies against a more traditional API design process, code-first development.

With code-first development, teams building a new product develop the entire application first. After that, once they've identified the most common use cases of their app, they build an API that exposes the necessary data and functionality for those specific use cases only.

It’s obvious here that the API design is an afterthought. That’s why code-first development often results in a less-than-optimal API, poor developer experience, and frustrating limitations. We’ll demonstrate the reasons for that in the next section.

Why pick API-first apps or platforms?

1. Full access to data and functionality through the API

Remember how an API-first strategy involves building the API and adding a user interface later?

One big benefit of this strategy is that the user interface will offer access to the same data and functionality as the back end. You’ll be able to perform the same tasks, whether you opt to do them manually through the user interface or programmatically through the API.

Contrast that with a code-first API strategy. This exposes only a small subset of the app’s or platform’s data and functionality through the API. That limits the tasks you can complete programmatically. You’ll be able to access only the data and functionality that the developer thinks you should access — for every other task, you’ll need to work manually in the app.

2. It enables composable architecture

Developing a composable application means combining independent services via APIs to create a customizable tech stack. For example, imagine you were building out a workflow for translating content in Contentful. You might build an internal translation service and integrate it with external third-party services like a headless CMS and a digital asset management (DAM) system (to support the localization of media assets).

Since Contentful is an API-first platform, you’ll have access to all the data and functionality necessary to build a connector to your translation microservice. Just use Contentful’s Read API to fetch and translate the content, and then use the Content Management API to insert it back.

If you're using an API-first DAM service, you'll be able to retrieve any media assets that are related to the content being translated (like images with embedded text, or region-specific videos), update them, and re-upload them to the DAM while also updating the asset references in Contentful.

This is powerful. You are essentially creating a composable application without writing a single line of glue code just by interacting with the API in a generic defined fashion, and using no special tools. This greatly reduces the amount of development needed to accomplish your unique goals.

3. A single source of truth

As we discussed, an API-first development process builds the back end first, then it builds a light user interface to go on top of it. That means the UI runs on the same API as you do when it accesses and manipulates data. Whether you work with the front end or the back end, you’re working with a single source of truth.

Compare that to a code-first strategy. Building the API to expose data and functionality at the end of the software development process requires building a second toolset for accessing and manipulating data. When you manipulate data in two different ways, it often results in two sources of truth — a recipe for disaster.

4. Automation

When an app or platform uses an API-first strategy, any task you perform through the user interface can also be performed in the back end using scripts. That means no more repetitive manual work. It also means you can build advanced workflows for tasks like syndication, migration, and even complex, large-scale data manipulation.

Here’s an example of a simple workflow built with API-first tools: Suppose you have created a space in Contentful (a space is like a container for your content, settings, and structure; each project typically gets its own) and mistakenly chose German as the primary locale rather than English. Since Contentful uses an API-first strategy, you could write a script to handle it. Type out five or six lines of code, run it, and you’ll have a whole new space configured exactly how you want without ever needing to open the UI.

It’s also easy to build workflows for much more complex tasks. Let’s look at a real-life workflow to illustrate: One of Contentful’s customers found themselves generating a new space manually every time an internal team needed to create a microsite. (And this was happening a lot.) So, they used functionality and data exposed through the Contentful API to automate the process. 

Now, they can automatically provision a space from a template, build it, put it up on their hosting platform, and invite users. Internal teams can start prototyping and customizing as needed without wasting developers’ time on repetitive manual tasks.

5. Better documentation, better developer experience

When the dev team for a new product has taken an API-first strategy, they have already considered all possible uses and endpoints, so it’s a short step to add clear, comprehensive technical documentation for the API.

These resources will clearly list the information any developer needs when implementing new workflows with the API, such as:

  • All available API endpoints.

  • How those endpoints work.

  • How to deal with common errors.

  • Whether to work with an API specification.

  • What that API specification is.

  • Examples showing how to use the API in different languages like JavaScript, C#, or PHP.

The most thoroughly considered API-first apps will even offer supportive tooling like software development kits (SDKs). Tools like these make your life easier as you work with the API in different contexts, such as mobile apps.

At this point, you might think that API technical documentation and supportive tooling are a nice bonus. But they’re actually a very big selling point for API-first platforms and apps. 

Compare this against legacy products. If you use one of these tools, you’ll quickly learn how much effort it takes to gain access to technical documentation. And worse, the documentation you receive is often incomplete, outdated, or just not very useful. That makes it difficult for your developers to accomplish their goals and help fuel your business’ digital transformation.

6. No more waiting for access approval

With API-first, apart from possibly waiting to get access to an API key, you get access to everything you need right away. You don’t need to ask support to give you access to some specific data — all of the endpoints already exist.

Many of Contentful’s customers, for example, will look at the comprehensive API documentation that we generated with our API-first development process and be able to see the information they can get out of the system, along with the information they can put in. It’s also easy for developers to see how they can automate processes and filter data, allowing them to create smart workflows that save time. 

Contentful’s API-first strategy gives every developer the tools they need to build their own innovative solutions. Compare that against apps and platforms that offer limited access through their API and poor documentation. They may require weeks of waiting to get the access and documentation your developers need.

How to implement an API-first approach

Effectively adopting an API-first development approach in your organization requires planning, clear communication, and well-defined guidelines. It often works best when teams within your organization come together and align on shared standards. Below is a set of goals and best practices you can integrate into your API-first strategy to ensure a smoother implementation or transition:

1. Understand the use cases

API-first starts with a shared understanding of what the product is supposed to do, and it requires cross-functional alignment between the product team, frontend and backend developers, and other stakeholders. These teams should be in alignment in the planning stage of the API (before any code is written). While full organizational alignment is ideal, it's not always necessary at the start. What matters most is for the development team to identify who will consume the API (will it be third-party developers, internal teams, AI tools, or front ends?) and what they need to achieve? This in turn will determine how you structure the API to make it easily consumable for every team involved. 

Starting with an understanding of how consumers will use your product, you design the API to satisfy these needs with the user experience in mind from the beginning.

2. Define your API contract first

Once you have hashed out what the key features and capabilities will be, you define your API contract before actually writing any code, using a format like OpenAPI or GraphQL SDL so you can clearly describe what each endpoint will do. This will help to make the contract more concrete and avoid any confusion or backtracking. The API contract will serve not only as documentation but as a shared agreement that helps the team plan, build, and validate in parallel.

This stage is integral to:

  • Map endpoints to the capabilities of your product.

  • Design the API based on use cases.

  • Design the API with clarity and stability in mind: use agreed-upon naming conventions and consistent status codes.

  • Include error handling with fallback strategies.

  • Accounting for pagination, filtering, and rate limiting (if needed).

3. Enable parallel development with mock servers

Once you have the API contract defined and it is reviewed internally, backend teams can work on implementing the spec. You can spin up a mock server, which will allow the front end to work in parallel with the back end, and Quality Assurance (QA) teams can prepare test cases based on the contract. This separation allows all teams to work in tandem from a single source of truth.

4. Use API versioning

API versioning ensures backward compatibility of your API as you evolve each endpoint. The simplest way to do this is to include it in the API URL (/v1/, /v2/). Every time you update an endpoint, avoid making any breaking changes in existing versions, and make sure to deprecate slowly while keeping older versions live as long as needed to allow consumers enough time to migrate. 

5. Be consistent with error responses

Returning errors in a consistent format will make error handling easier for those consuming your API. For example, you might decide to always return a ```status``` field (containing the HTTP status code), and a human-readable ```message``` field for further explanation. You can provide useful information about any edge cases in the OpenAPI spec so your consumers know what to expect and how to handle any of these cases or timeouts.

6. Establish API governance

To avoid reinventing the wheel every time you create a new API, it is best practice to establish centralized guidelines for schema structure and naming conventions. This improves consistency among your teams and helps with long-term maintainability. API governance helps prevent confusion or fragmentation and supports mass collaboration.

7. Establish documentation and testing as core practices

Making documentation and testing core practices helps make your APIs understandable, easier to work with, and ready to scale over time. Tools like Swagger UI, Redocly, and Stoplight can generate interactive docs directly from your OpenAPI specs, which keeps your documentation aligned with the actual contract. Contract tests run as part of a CI/CD pipeline can help catch breaking changes before they reach production.

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How API-first supports AI integration

Most AI tools currently flooding the market are accessed via API, so if you have a product built using API-first methodology, integrating these AI tools should be relatively smooth. Because your APIs are loosely coupled, you can swap or upgrade AI services without major refactors or disruption to other parts of the system.

This enables a faster time to market for things like AI-driven recommendations, chatbots, and task automation. API-first products can use multiple AI APIs as building blocks — think translations, audio transcription, and summaries. All of this extra functionality is easily connected to data already available by APIs. Having an API-first product means that any new AI service that becomes available is easily integrated, keeping your product on the cutting edge of technology.

Why AI agents love API-first systems

As AI evolves and becomes more mature, AI agents are increasingly being designed to act programmatically on behalf of users to retrieve data, execute actions, and trigger workflows. This requires agents to interact with your system though clearly defined interfaces.

API-first systems have an advantage here, as all the data that the agents could need is exposed through APIs in a consistent way and with well-documented REST/GraphQL endpoints. 

Consider an example of an agent that's given the following goal: "Find all our customers who have recently left negative feedback. Summarize what they said and email them with a personalized apology."

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Off-the-shelf APIs you can leverage in a composable architecture

Function

Example APIs

Content

Contentful

Commerce

Stripe, Swell, Commerce.js

Communication

Twilio, Sendbird, Intercom

Search

Algolia, Typesense

Media

Cloudinary, Mux

Composable architecture is a new approach to building applications whereby you assemble different modular components often delivered by API. Instead of building everything yourself and relying on a single monolithic platform, you can pull together best-in-class SaaS APIs for things like content management, commerce, and authentication, then compose them together to build a custom solution.

This model is powered by API-first thinking. Every service is built to be easily consumable, integrated, and replaced by well-defined APIs. For instance, when building a headless ecommerce site, you might use Contentful (for content management), a communication API like Twilio (for customer support or chatbots), Stripe (for payments), and a JavaScript framework like React to reduce frontend labor. This allows you to choose the exact functionality you need rather than being locked in to any single platform.

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The bottom line

API-first means the API is the primary and most important focus during the development process for a new product. 

As the end user, it means you’ll have the best possible user experience with that API. As a developer or builder, you'll get every tool you need to build a robust custom tech stack that solves your business problems. And you’ll be free to create innovative workflows that improve your life and save you tons of time. API-first also opens your organization up to greater collaboration and innovation. It makes it easier to integrate cutting-edge functionality from AI APIs and to expose internal capabilities to other teams or external customers.

In short, when you choose to work with API-first apps, you can extend your application in new directions without having to re-architect your entire system. Your creativity is the only limitation!

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Meet the authors

Bulent Yusuf

Bulent Yusuf

Managing Editor, Blog

Contentful

As the Managing Editor of the Contentful blog, Bulent collaborates with Contentful's customers, partners and users to publish articles that support and elevate the community.

David Fateh

David Fateh

Software Engineer

Contentful

David Fateh is a software engineer with a penchant for web development. He helped build the Contentful App Framework and now works with developers that want to take advantage of it.

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