Glossary terms related to Full Stack in Software Engineering.
A TypeScript-based front-end framework developed by Google for building web applications.
A candidate’s experience designing, building, and integrating APIs to connect different services and platforms.
A web framework developed by Microsoft for building dynamic web applications using C#.
Experience implementing user authentication and access control using OAuth, JWT, or session-based systems.
A candidate’s ability to follow and contribute to best practices during peer code reviews.
A candidate’s ability to quickly understand and navigate an existing codebase to make contributions.
Experience using Docker or Kubernetes to create and manage containerized applications.
The practice of automatically testing and merging code changes into a shared repository.
The ability to design efficient database schemas and queries for high-performance applications.
A high-level Python web framework known for its speed, security, and scalability.
A containerization platform that enables developers to package and deploy applications efficiently.
A design pattern where system components communicate using events to improve scalability and responsiveness.
A cloud-based backend-as-a-service (BaaS) platform that simplifies authentication, storage, and hosting.
A lightweight Python framework used for building web applications with minimal overhead.
A developer’s proficiency in using front-end frameworks like React, Angular, or Vue.js.
A developer’s ability to troubleshoot and fix issues across both front-end and back-end systems.
An API type that allows clients to query exactly the data they need from a single endpoint.
A query language for APIs that enables developers to request specific data efficiently.
A widely used programming language for front-end and back-end development, powering web applications.
An open-source system for managing, scaling, and automating containerized applications.
Experience designing and developing applications using a modular, microservices-based approach.
A NoSQL database that stores data in flexible JSON-like documents, ideal for scalable applications.
A JavaScript runtime that allows developers to build scalable server-side applications.
The process of measuring and optimizing application performance to meet industry standards.
A powerful, open-source relational database known for its advanced features and scalability.
The degree to which a candidate’s code meets the standards required for deployment in a live environment.
A versatile programming language used for web development, data science, and backend services.
A popular JavaScript library for building interactive and reusable user interface components.
A developer’s ability to create applications that adapt to different screen sizes and devices.
A widely used architectural style for designing networked applications and web services.
A web development framework written in Ruby that prioritizes convention over configuration.
A developer’s ability to write code that supports business growth and increased user demand.
The ability to build and deploy applications without managing server infrastructure.
A Java-based backend framework designed to simplify the development of enterprise-level applications.
The alignment between a candidate’s skills and a company’s preferred development technologies.
A methodology where developers write tests before writing the actual application code.
A statically typed superset of JavaScript that enhances code maintainability and scalability.
A developer’s proficiency in managing code changes using Git and branching workflows.
A progressive front-end JavaScript framework used for building user interfaces and single-page applications.
Techniques used to improve website speed, load times, and responsiveness.
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