🧬 Types of Inheritance in Java

DEV CommunityTuesday, November 4, 2025 at 9:29:28 AM
Inheritance in Java is a powerful feature that allows classes to share properties and behaviors, enhancing code reusability and flexibility. This article explains the different types of inheritance, including single and multilevel inheritance, which are essential concepts for developers to understand. By mastering these inheritance types, programmers can write cleaner, more efficient code, making it a crucial topic in Java programming.
— Curated by the World Pulse Now AI Editorial System

Was this article worth reading? Share it

Recommended Readings
Getting Started With Hibernate ORM and MongoDB
PositiveArtificial Intelligence
Hibernate ORM has long been a favorite in the Java community for simplifying data persistence through object-relational mapping. Recently, it has expanded its capabilities to work with MongoDB, a popular NoSQL database. This shift is significant as it allows developers to leverage the strengths of both Hibernate and MongoDB, making it easier to manage data in modern applications. This evolution not only enhances the flexibility of Hibernate but also opens up new possibilities for developers looking to integrate different types of databases into their projects.
A Practical Guide to Building AI Agents With Java and Spring AI - Part 1 - Create an AI Agent
PositiveArtificial Intelligence
Building AI-powered applications is essential for modern Java developers, and this article introduces how to create AI agents using Java and Spring AI. As AI technologies evolve, integrating these capabilities into applications is crucial for maintaining a competitive edge. Spring AI simplifies this process, offering a unified framework that empowers developers to harness the power of AI effectively.
Developing an A2A-compliant AI Agent with Java, Spring Boot and Spring AI
PositiveArtificial Intelligence
A new AI agent has been developed for Telex, designed to interpret regex patterns and provide user-friendly explanations of matched strings. This innovation is significant as it enhances the accessibility of complex programming concepts, making it easier for users to understand and utilize regex in their projects. By leveraging technologies like Java and Spring Boot, this AI agent showcases the potential of artificial intelligence in simplifying technical tasks.
Hidden in Plain Sight: Where Developers Confess Self-Admitted Technical Debt
PositiveArtificial Intelligence
A recent study highlights the importance of identifying Self-Admitted Technical Debt (SATD) in software development, emphasizing its role in proactive maintenance. By connecting SATD comments to the surrounding source code, researchers aim to enhance understanding and management of technical debt, which can lead to more efficient software practices. This research is significant as it addresses a gap in previous studies and provides developers with valuable insights to improve code quality.
7 Essential Java Kafka Techniques for Building Reliable Event-Driven Systems That Scale
PositiveArtificial Intelligence
In a recent article, best-selling author Aarav Joshi shares seven essential techniques for utilizing Java Kafka to build reliable event-driven systems that can scale effectively. This is significant for developers and businesses looking to enhance their system architecture, as event-driven systems are increasingly vital in today's tech landscape. By mastering these techniques, readers can improve their applications' performance and reliability, making this knowledge crucial for anyone involved in software development.
Building a Lightning-Fast Full-Stack App: Spring Boot Native + Angular
PositiveArtificial Intelligence
In a recent article, the author shares their experience building a full-stack application using Spring Boot Native and Angular 20, achieving impressive startup speeds and a minimal footprint. This development is significant as it addresses the common issue of slow startup times in traditional Java applications, making it easier for developers to create efficient and responsive apps. The insights provided can help others streamline their own projects, showcasing the potential of modern frameworks.
Deploy Java Apps Like a Pro: WildFly Setup, Tuning & Automation on RHEL (2025 Edition)
PositiveArtificial Intelligence
The latest guide on deploying Java applications using WildFly on RHEL is here, and it's packed with valuable insights! WildFly, the modern evolution of JBoss, is a powerful open-source application server that allows developers to easily set up, tune, and automate their Java EE applications. This guide not only walks you through the installation process but also offers tips on performance tuning and leveraging DevOps tools for seamless deployments. It's a must-read for anyone looking to enhance their Java development skills and streamline their deployment processes.
Java's Agentic Framework Boom is a Code Smell
NegativeArtificial Intelligence
In a recent article, the author critiques the current trend of agentic frameworks in Java development, arguing that they may be more of a hindrance than a help. This matters because it challenges developers to rethink their reliance on these frameworks and encourages them to start building agents without waiting for the 'perfect' solution. By addressing both sides of the discussion, the piece aims to inspire innovation and practical solutions in the developer community.
Latest from Artificial Intelligence
Electric Aircraft Upstart Beta Dips In First-Day Trading
NegativeArtificial Intelligence
Shares of electric aircraft company Beta Technologies saw a slight dip during their first day of trading on the New York Stock Exchange, coinciding with a downturn in the overall tech sector.
Amazon Echo Dot Max review: Disappointing sound, but Alexa+ is a star
NegativeArtificial Intelligence
The Amazon Echo Dot Max review highlights disappointing sound quality, overshadowing the device's potential. While Alexa+ shines with its features, the overall audio experience leaves much to be desired.
The Hidden Challenges Startups Face with Cloud Infrastructure (From a DevOps Engineer’s Perspective)
NegativeArtificial Intelligence
Building a startup may seem easy with cloud infrastructure, but it often leads to hidden challenges. What starts as a quick setup in AWS or GCP can turn into technical debt, slowing down development, reliability, and even fundraising efforts. With nearly a decade of experience in creating infrastructure for high-growth startups, I've witnessed these issues firsthand.
How to Create a Vendor Management Plan: Step-by-Step Process
PositiveArtificial Intelligence
Creating a Vendor Management Plan is crucial for businesses that depend on external partners. This organized plan outlines how vendors are chosen, managed, and assessed, fostering accountability and ensuring consistent quality and delivery.
Top Tech Upgrades Developers and Project Leads Must Pursue in 2025
PositiveArtificial Intelligence
As we look ahead to 2025, developers and project leads must embrace essential tech upgrades to stay competitive. The rapid evolution of tools and architecture means that reactive solutions are no longer sufficient. It's time to invest in scalable systems that can handle unexpected challenges and ensure long-term success.
GitKarma: Review to Earn. Spend to Merge.
PositiveArtificial Intelligence
GitKarma is a game-changer for code reviews, making the process faster and more efficient. Reviewers earn karma for their quality feedback, while authors spend karma to get their pull requests merged. This innovative approach creates a fair balance, ensuring that important reviews are prioritized. Check out gitkarma.dev to experience it yourself!