Now that you know what you want to build and why, your first step is to create a simple MVP. The next question is: how do you actually put it together from a technical perspective?
Imagine you’re building a real, physical restaurant. Before you buy pots and hire a head chef, you need a building plan. Where will the dining area be? Where is the kitchen? Where do you store ingredients? In software, this building plan is called system architecture. It’s a set of fundamental structures and design decisions that serve as a blueprint for building your application. It defines the core components of the system, how they relate to each other, and how they interact.
A well-designed architecture makes your application fast, secure, and able to scale as your user base grows. A poor one leads to frustration: the system becomes hard to maintain, slow, and every new feature breaks three existing ones. Let’s look at the most important architectural models using our recipe application as an example.
Client–Server: Front of House and Back of House
Most modern web applications are built using a client–server architecture. To make this easier to understand, let’s break our application into three layers (a classic three-tier architecture):
- Client (Frontend): This is the dining area of your restaurant. It’s the user interface what you see on your phone or computer screen. This is where a user types “grandma’s apple pie” into the search bar and clicks “Search.”
- Server (Backend / Business Logic): This is your kitchen. When the user clicks “Search,” a request is sent to the server. The server has no graphical interface it’s the brain of the operation. It decides how to process the request, for example how to adjust ingredient quantities for 12 servings and where to find the correct recipe.
- Database: This is your pantry. The server retrieves recipe text and images from the database. Once it gathers everything it needs, it sends the data back to the client (to the user’s screen).
This separation is crucial because it allows you to change the appearance of the application (e.g., button colors on the frontend) without modifying the underlying business logic on the server.
Monolith: Your MVP’s Best Friend
At the beginning, when you’re building the MVP of your cookbook app, you will most likely use a monolithic architecture.
A monolith is a setup where your entire application user interface, authentication logic, recipe database, unit conversion lives in a single codebase and runs as one unit.
Why it works well for beginners:
- Simplicity and speed: it’s the easiest approach to design and build, which makes it ideal for quickly launching an MVP.
- Simple deployment: you deploy everything to a single server and it just works
The catch: As the application grows, a monolith can start to resemble a house of cards. If one component fails (for example, the unit conversion feature breaks under heavy load), the entire application can go down. On top of that, even the smallest change requires redeploying the whole system.
Microservices: When Your App Becomes a Culinary Empire
Now imagine your cookbook starts to grow. You gain more users every day, and new features keep being added. Your monolith becomes bloated, and developers start stepping on each other’s toes. This is where microservices come in.
Microservices architecture breaks a large monolith into a collection of small, independent services, each responsible for a single business capability. In this model, you might have one service dedicated to user accounts, another for the recipe catalog, and another for notifications. These services communicate with each other through APIs.
Why companies like Netflix, Uber, or YouTube love it:
- Independence and reliability: if the comments service goes down, the rest of the application continues to function users can still browse and cook recipes
- Scalability: during peak periods (e.g., holidays), users may heavily use search. Instead of scaling the entire system, you scale only the search service
- Team autonomy: one team can work on social features in one tech stack, while another focuses on the database in a different one without blocking each other
That said, microservices introduce significant operational complexity and should be used with care.
Serverless: Hiring a Chef Only When You Need One
Another modern approach worth mentioning is serverless architecture, also known as Function as a Service (FaaS).
In a traditional model, you rent a server (a machine in the cloud) that runs 24/7, regardless of whether anyone is using your application. In a serverless model, you write small pieces of code (functions) that are executed by a cloud provider (e.g., AWS or Google) only when a specific event occurs.
For example: when a user clicks “Run backup,” the system triggers a function that generates files, sends them to the appropriate location, and then shuts down. You only pay for the time your code actually runs. This is a great way to optimize costs for certain automated processes. However, it comes with trade-offs. One of them is the so-called cold start. If a function hasn’t been used for a while, it may take noticeable time to spin up. If a user expects an immediate response (e.g., search results), this can become frustrating.
Summary
Now that your application has a well-thought-out architecture and a working MVP, you face a new challenge: how do you make it truly intelligent?
You’ve already built a fully functional, well-designed kitchen but you don’t want it to rely on a passive cookbook alone. This is where we enter the next stage in software evolution: AI agents. It’s time to bring an autonomous chef into your digital restaurant a system that can reason, decide which tools to use, and solve complex problems on its own.
Materials
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