search
HomeBackend DevelopmentPython TutorialA Guide to Planning Your API: Code-First VS Design-First Approach

A Guide to Planning Your API: Code-First VS Design-First Approach

Imagine you are an architect standing on an empty field. You wouldn't start laying bricks without a blueprint, right? The same principles apply to API development. I used to use a code-first approach, writing code first and documentation later, until I learned a design-first approach. A design-first approach is to create a detailed API definition before writing any code.

Overview of this guide

Before we dive in, let’s map out our goals. Think of this as your API planning roadmap:

  • Learn the basics of API planning
  • Explore two different methods
  • Make wise choices
  • Create your API plan

What you will learn:

  1. What does API planning include
  2. Code First Approach
  3. Design first approach
  4. Comparison between code first and design first
  5. How to choose the right method
  6. Practical steps for API planning

What does API planning include

The foundation of excellent API

API planning isn’t just about technical specifications – it’s also about building a product that others will love using. It's like designing a house where every room has its purpose and is logically connected to the others.

Key questions to answer:

  • Who are the consumers? (Front-end developers, third-party partners, etc.)
  • What operations does it support? (CRUD operations, integration, etc.)
  • How to ensure its safety? (Authentication, rate limiting, etc.)

The Art of Planning

Compare API planning to drawing a masterpiece:

  • Code first is like painting without drafting
  • Design first is like planning the composition first

Code First Approach

A code-first approach is about jumping directly into coding and creating functionality before writing API structural documentation or design. When I started building APIs, I was a code-first advocate. Here's what I learned:

<code>// 第一天:“这看起来很简单!”
app.get('/users', getUsers);

// 第二周:“哦,等等,我需要过滤……”
app.get('/users', authenticateUser, validateQuery, getUsers);

// 第三周:“也许我应该更好地规划一下……”</code>

Quick Tip ✨: Code-first works for prototypes, but document your decisions as you go!

How it works

  • Start with backend development and mockups.
  • Build API endpoints based on your database structure.
  • Write API documentation after implementation.

Advantages

  • Faster prototyping: ideal for small teams or personal projects.
  • Straightforward implementation: focus on building functionality without upfront planning.

Challenge

  • Inconsistent design: If multiple developers are involved, the API may lack consistency.
  • Iteration is difficult: making significant changes after development can be costly.

Design first approach

The design-first approach emphasizes planning and defining the structure of your API before writing any code. It keeps everyone on the same page. After the API definition is agreed upon, stakeholders such as testers and technical writers can work in parallel with developers.

How it works

  • Use tools such as Swagger/OpenAPI to design API patterns.
  • Define endpoints, request/response formats and validation.
  • Share designs with stakeholders to get feedback.
  • Development begins after the design is finalized.

Advantages

  • Collaboration: Facilitate early feedback from stakeholders.
  • Consistency: Ensure endpoint consistency.
  • Mock API: Allows front-end teams to start integrations earlier using mock responses.

Challenge

  • Upfront effort: Initial design takes time.
  • Expertise required: Developers must be familiar with design tools and best practices.

Code First vs. Design First: Comparison

Code First

  • Speed: Faster for simple projects.
  • Collaboration: Limited in initial stages.
  • Consistency: This may vary by endpoint.
  • Flexibility: Easy for solo development.
  • Scalability: This may be difficult to scale.

Design first

  • Speed: Slow due to early planning.
  • Collaboration: Encourage early team collaboration.
  • Consistency: Ensure standardized design.
  • Flexibility: Great for teams or public APIs.
  • Scalability: Designed with scalability in mind.

How to choose the right method

Select Code First if:

  • You are building a quick proof of concept or internal API.
  • API consumers are a single small team.
  • You prioritize speed over design.

Please select Design Priority if the following conditions are met:

  • Your API is exposed to external consumers or multiple teams.
  • Collaboration and consistency are priorities.
  • You are building a public API or a long-term API.

Practical steps for API planning

Step 1: Define the purpose of the API

Before we dive into endpoints and methods, answer these basic questions:

  • What problem does your API solve?
  • Who is your target user?
  • What core functionality do you have to offer?
  • What are your non-functional requirements?

Example statement of purpose:

<code>// 第一天:“这看起来很简单!”
app.get('/users', getUsers);

// 第二周:“哦,等等,我需要过滤……”
app.get('/users', authenticateUser, validateQuery, getUsers);

// 第三周:“也许我应该更好地规划一下……”</code>

Step 2: Identify core resources

Think of resources as nouns in the API. For our e-commerce example:

Main resources:

  • Product
  • Inventory
  • Warehouse
  • Inventory changes

Resource relationship:

<code>// 第一天:“这看起来很简单!”
app.get('/users', getUsers);

// 第二周:“哦,等等,我需要过滤……”
app.get('/users', authenticateUser, validateQuery, getUsers);

// 第三周:“也许我应该更好地规划一下……”</code>

Step 3: Define the operation

Now consider what actions (verbs) the user needs to perform on these resources:

<code>此API使电子商务平台能够实时管理多个仓库的库存,确保准确的库存水平并防止超卖。</code>

Step 4: Plan the data model

Define clear and consistent data structures:

<code>产品
  └── 库存
       └── 仓库
            └── 库存变动</code>

Step 5: Plan for Authentication and Security

Think about security from the start:

  • Authentication method
  • Authorization Level
  • Rate Limit
  • Data Encryption
  • Input verification

Step 6: Write API documentation

Create comprehensive documentation:

API Overview

  • Purpose and Scope
  • Getting Started Guide
  • Authentication details

Endpoint documentation

  • Resource Description
  • Request/Response Format
  • Example call
  • Error handling

Use Cases

  • Common Scenarios
  • Integration example
  • Best Practices

Conclusion

Both code-first and design-first approaches are valuable in API development. The key is to choose an approach that fits the project's needs, team size, and long-term goals. Ultimately, whether you choose a code-first or design-first approach, the goal is to create an API that developers love to use. Sometimes the journey is not as important as the destination, but having a good map can make the journey easier!

Looking ahead: CollabSphere case study

In our upcoming blog series, we will put these principles into practice by building CollabSphere, a real-time chat system. You'll see firsthand how I transform code-first projects into design-first masterpieces.

Preview of upcoming content:

  • Design chat API from scratch
  • Create comprehensive API documentation
  • Real-time functionality
  • Handling authentication and security

The above is the detailed content of A Guide to Planning Your API: Code-First VS Design-First Approach. For more information, please follow other related articles on the PHP Chinese website!

Statement
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn
Merging Lists in Python: Choosing the Right MethodMerging Lists in Python: Choosing the Right MethodMay 14, 2025 am 12:11 AM

TomergelistsinPython,youcanusethe operator,extendmethod,listcomprehension,oritertools.chain,eachwithspecificadvantages:1)The operatorissimplebutlessefficientforlargelists;2)extendismemory-efficientbutmodifiestheoriginallist;3)listcomprehensionoffersf

How to concatenate two lists in python 3?How to concatenate two lists in python 3?May 14, 2025 am 12:09 AM

In Python 3, two lists can be connected through a variety of methods: 1) Use operator, which is suitable for small lists, but is inefficient for large lists; 2) Use extend method, which is suitable for large lists, with high memory efficiency, but will modify the original list; 3) Use * operator, which is suitable for merging multiple lists, without modifying the original list; 4) Use itertools.chain, which is suitable for large data sets, with high memory efficiency.

Python concatenate list stringsPython concatenate list stringsMay 14, 2025 am 12:08 AM

Using the join() method is the most efficient way to connect strings from lists in Python. 1) Use the join() method to be efficient and easy to read. 2) The cycle uses operators inefficiently for large lists. 3) The combination of list comprehension and join() is suitable for scenarios that require conversion. 4) The reduce() method is suitable for other types of reductions, but is inefficient for string concatenation. The complete sentence ends.

Python execution, what is that?Python execution, what is that?May 14, 2025 am 12:06 AM

PythonexecutionistheprocessoftransformingPythoncodeintoexecutableinstructions.1)Theinterpreterreadsthecode,convertingitintobytecode,whichthePythonVirtualMachine(PVM)executes.2)TheGlobalInterpreterLock(GIL)managesthreadexecution,potentiallylimitingmul

Python: what are the key featuresPython: what are the key featuresMay 14, 2025 am 12:02 AM

Key features of Python include: 1. The syntax is concise and easy to understand, suitable for beginners; 2. Dynamic type system, improving development speed; 3. Rich standard library, supporting multiple tasks; 4. Strong community and ecosystem, providing extensive support; 5. Interpretation, suitable for scripting and rapid prototyping; 6. Multi-paradigm support, suitable for various programming styles.

Python: compiler or Interpreter?Python: compiler or Interpreter?May 13, 2025 am 12:10 AM

Python is an interpreted language, but it also includes the compilation process. 1) Python code is first compiled into bytecode. 2) Bytecode is interpreted and executed by Python virtual machine. 3) This hybrid mechanism makes Python both flexible and efficient, but not as fast as a fully compiled language.

Python For Loop vs While Loop: When to Use Which?Python For Loop vs While Loop: When to Use Which?May 13, 2025 am 12:07 AM

Useaforloopwheniteratingoverasequenceorforaspecificnumberoftimes;useawhileloopwhencontinuinguntilaconditionismet.Forloopsareidealforknownsequences,whilewhileloopssuitsituationswithundeterminediterations.

Python loops: The most common errorsPython loops: The most common errorsMay 13, 2025 am 12:07 AM

Pythonloopscanleadtoerrorslikeinfiniteloops,modifyinglistsduringiteration,off-by-oneerrors,zero-indexingissues,andnestedloopinefficiencies.Toavoidthese:1)Use'i

See all articles

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

DVWA

DVWA

Damn Vulnerable Web App (DVWA) is a PHP/MySQL web application that is very vulnerable. Its main goals are to be an aid for security professionals to test their skills and tools in a legal environment, to help web developers better understand the process of securing web applications, and to help teachers/students teach/learn in a classroom environment Web application security. The goal of DVWA is to practice some of the most common web vulnerabilities through a simple and straightforward interface, with varying degrees of difficulty. Please note that this software

EditPlus Chinese cracked version

EditPlus Chinese cracked version

Small size, syntax highlighting, does not support code prompt function

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

VSCode Windows 64-bit Download

VSCode Windows 64-bit Download

A free and powerful IDE editor launched by Microsoft

Dreamweaver Mac version

Dreamweaver Mac version

Visual web development tools