Public Checklist: Full Stack Development Checklist

Full Stack Development Checklist

Created by Cheli

Step-by-step guide to building a full-stack web application from planning to deployment.

26 Items
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Published May 14, 2026
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Checklist Items (26)

Planning

Define the foundation of the project before writing code.

Define project scope and requirements

List functional and non-functional requirements, user stories, and acceptance criteria.

Choose technology stack

Select frontend (React/Vue/Angular), backend (Node.js/Django/Spring), and database that fit the project needs.

Create wireframes and UI mockups

Use tools like Figma or Sketch to design low-fidelity wireframes, then refine to high-fidelity mockups.

Set up project repository and branching strategy

Initialize a Git repo, define main/dev branches, and adopt GitFlow or trunk-based development.

Frontend Development

Build the client-side interface and user interactions.

Set up project scaffolding

Initialize the frontend project using Create React App, Vite, or Next.js with TypeScript support.

Implement global state management

Choose Redux Toolkit, Zustand, or React Query to manage shared state across components.

Design reusable component library

Create atomic components (buttons, inputs, modals) with props for flexibility and consistency.

Integrate CSS framework or utility-first styling

Apply Tailwind CSS, Bootstrap, or styled-components for rapid UI styling.

Implement routing and navigation

Configure client-side routes with React Router v6 or Next.js file-system routing.

Backend Development

Develop server-side logic, APIs, and security.

Initialize server project

Set up a new Node.js/Express, Django, or Spring Boot project with proper folder structure.

Set up RESTful API design and versioning

Define resource endpoints, HTTP methods, and version URLs (e.g., /api/v1/users).

Implement authentication and authorization

Add JWT-based login, refresh tokens, and role-based access control middleware.

Connect to database via ORM/ODM

Configure Sequelize (SQL) or Mongoose (MongoDB) to map models and handle queries.

Write unit and integration tests for API endpoints

Use Jest, Supertest, or JUnit to test controllers, services, and error handling.

Database Design

Plan data storage, schema, and performance considerations.

Model data entities and relationships

Draw ER diagrams to identify tables, collections, fields, and relationships.

Choose database type and provider

Decide between SQL (PostgreSQL, MySQL) or NoSQL (MongoDB, DynamoDB) based on data shape.

Create migration scripts and seed data

Use migration tools (Flyway, Liquibase, Sequelize CLI) to version schema and populate test data.

Configure connection pooling and backup strategies

Set pool sizes, timeout settings, and schedule automated backups to object storage.

DevOps & Infrastructure

Automate build, deployment, and environment management.

Containerize application with Docker

Write Dockerfiles for frontend and backend, then build and test images locally.

Set up CI/CD pipeline

Configure GitHub Actions to run tests, build images, and deploy to staging on push.

Configure environment variables and secrets management

Use dotenv for local dev and platform secret stores (AWS Secrets Manager, GitHub Secrets) for prod.

Deploy to cloud platform

Deploy containers to AWS ECS, Azure App Service, or Google Cloud Run with load balancing.

Testing & Deployment

Validate quality and release the application safely.

Perform end-to-end testing

Write Cypress or Playwright scripts to simulate user flows across the full stack.

Conduct performance testing

Run Lighthouse audits and k6 load tests to measure page speed and API throughput.

Implement monitoring and logging

Set up centralized logging (ELK) and metrics (Prometheus + Grafana) for observability.

Execute blue-green or canary release strategy

Shift traffic gradually to new version using feature flags or service mesh to reduce risk.

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