As development teams start using these IDEs, it’s more important than ever to focus on creating software that is reliable, secure, and easy to maintain.
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AI CodeFix scans your code, identifies issues, and suggests fixes, all while seamlessly integrating into your development environment.
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We'll walk through how to configure Claude Sonnet 3.7 for your organization, and provide feedback to continuously improve the process.
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In this article, we’ll walk you through how to set up and optimize SonarQube’s Connected Mode for IntelliJ
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Software Composition Analysis (SCA) is an automated process in software development that identifies, analyzes, and manages open-source components within applications to mitigate security risks and ensure compliance.
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Vulnerability management involves identifying, evaluating, prioritizing, and addressing security weaknesses in an organization's software supply chain, essential for mitigating risks, ensuring compliance, and securing application development.
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Software supply chain security comprises proactive and reactive practices to manage risks from creation to distribution, emphasizing vital tools, processes, and open source components.
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A software bill of materials (SBOM) is a list of all components, libraries, and dependencies within a software application to manage security risks and improve transparency.
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Proactive strategies in software development involve integrating security practices throughout the SDLC and actively evaluating open source packages to minimize risk from vulnerabilities.
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Open source packages provide developers with pre-written code for common functionalities, saving time and effort during development.
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Cybersecurity regulatory compliance involves government regulations aimed at securing software development and supply chains for organizations providing software to federal agencies.
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Application security posture management (ASPM) involves continuously assessing, monitoring, and improving the security of an application by identifying and mitigating potential vulnerabilities and security risks.
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Threat intelligence involves collecting, analyzing, and using data about current and potential cyber threats to inform decisions and proactively defend against attacks, especially in the context of open source software.
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SLSA (Supply Chain Levels for Software Artifacts) sets industry standards for simplifying software supply chain security with checklists for producers and a common language for consumers to ensure package security.
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The OpenSSF Scorecard, created by the Open Source Security Foundation (OpenSSF), assesses software security practices to help improve and evaluate the safety of open source packages.
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Open source maintainers are crucial for developing and keeping open source projects functional, secure, and up-to-date by managing code, bugs, workflows, documentation, and community.
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These tools promise to take the frustration out of debugging and empower developers to focus on building innovative solutions.
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Imagine agents powered by advanced neural networks, moving beyond simple task automation to become genuine collaborators in software development.
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Proper error handling ensures your programs can gracefully navigate unforeseen situations without crashing or compromising the user experience.
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In this article, we’ll explore practical strategies for identifying and prioritizing the most organizationally important code issues.
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Sonar AI Code Assurance addresses these challenges by ensuring AI-generated code adheres to high standards of quality, security, and compliance, tailored specifically for its unique characteristics and requirements.
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With the recent announcement of the SonarQube Free tier, developers now have easy access to professional-grade code analysis tools—no infrastructure setup or software installation required. This guide is designed to help you navigate the features of SonarQube Cloud and integrate it into your workflow seamlessly.
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Secure coding is the practice of developing software with a focus on security at every stage, ensuring that applications are resilient against attacks and free from vulnerabilities. It involves writing code that protects data and maintains the integrity, confidentiality, and availability of information, the core principles known as the CIA triad.
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Application security in software development refers to the process of integrating robust security measures throughout the software development lifecycle to protect applications from threats that could compromise their integrity, confidentiality, and availability.
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Artificial Intelligence is evolving into a formidable partner for developers seeking enhanced productivity and efficiency. Delve into the core aspects of AI-driven software development, exploring the tools, technologies, and practices that can amplify your coding prowess.
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AI code generation involves using software tools, powered by Artificial Intelligence (AI) and Machine Learning (ML), to write computer code. Learn about the cutting-edge technology that is being utilized by developers and companies alike.
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AI coding assistants in software development are advanced tools that enhance the coding process using artificial intelligence and machine learning. These assistants help with code suggestions, debugging, and auto-completion, improving efficiency throughout the development process.
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Code coverage is a metric used in software testing to measure the degree to which the source code of a program is executed during testing. It aids in identifying the extent to which the source code is being exercised, allowing you to acquire a better awareness of your testing efforts and where extra testing may be required.
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In the software development world, monorepos have become a popular choice for managing codebases. But what exactly is a monorepo, and why are so many companies making the switch? In this guide, we'll explore their ins and outs.
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Static Code Analysis is a vital tool for ensuring code safety and protecting against common pitfalls. In this guide, you’ll learn about static code analysis and will walk through steps on how to run it using SonarQube Server.
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Ensuring proper code quality and consistency is a vital but tedious job when done manually. With SonarQube Server’s pull request and branch analysis, it can be a breeze. In this article, you will be guided through how pr and branch analysis improves the CI/CD pipeline and how to automate it with GitHub Actions.
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SonarQube Cloud helps you uncover bugs and security weaknesses early in the development cycle, saving you time, money, and reputation. In this comprehensive guide to using SonarQube Cloud for Java code static analysis, you will walk through the setup, analysis, results, and issue resolution before they cause problems.
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SonarQube Server Enterprise Edition offers robust capability to manage code quality for large organizations with complex deployments. In this tutorial, you will walk through the steps to deploy SonarQube Server in an Amazon Elastic Kubernetes Services (EKS) cluster with a Helm chart for a scalable, automated, and efficient solution.
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Leaked secrets are a dangerous vulnerability risk that most developers have mistakenly exposed at least once. But by using SonarQube for IDE with SonarQube Cloud or SonarQube Server, you can catch secrets in the IDE before they are exposed. In this article, you’ll walk through how secrets detection works with SonarQube for IDE, SonarQube Cloud, and SonarQube Server.
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DevOps is a collaborative approach to software development and operations that emphasizes the integration and automation of processes, tools, and teams to enable the continuous delivery of high-quality software products.
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SDLC (Software Development Life Cycle) is a structured and systematic approach to developing software, encompassing all phases from initial planning and requirements gathering to deployment and maintenance, ensuring a well-managed and efficient development process.
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Infrastructure as Code (IaC) is a revolutionary approach that allows you to automate, standardize, and streamline infrastructure management, unlocking unprecedented efficiency, reliability, and scalability in your development workflows.
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CI/CD is a set of practices that automate the process of building, testing, and deploying software. It helps to improve the quality and speed of software delivery.
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Technical debt refers to the future costs of rework or maintenance that arise from prioritizing speed and quick fixes over code quality in software development, with the debt accumulating over time and requiring resources to be paid off, making it crucial to address and minimize from the start of a project.
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Debugging is the process of tracking down and eliminating issues in software applications such as bugs and vulnerabilities that may arise due to bad coding, architecture, or implementation.
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Refactoring is the process of improving existing code by restructuring its internal design without changing its external behavior, aiming to enhance understandability, modifiability, and maintainability while reducing the risk of introducing bugs and technical debt.
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SAST (Static Application Security Testing) is a software testing technique used to identify security vulnerabilities in the source code of an application without executing it, helping developers find and fix potential issues early in the development process.
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A linter is a developer tool that analyzes source code for errors, vulnerabilities, and stylistic issues to improve code quality.
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"Shift left" is a practice that involves moving critical development practices earlier in the software development lifecycle (SDLC).
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OWASP is a nonprofit entity aimed at bolstering the security of software through a collaborative platform where security experts and developers contribute.
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Code quality describes the general evaluation of a piece of software code's effectiveness, reliability, and maintainability.
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Code smells are warning signs in your code that hint at deeper issues. These aren't errors and the code will still work, but they can make future development harder and increase the risk of bugs.
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Code review is a systematic software quality assurance technique for developers in which the code is reviewed to find and fix errors, improve code quality, and enforce coding standards.
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A static code analysis tool performs an examination of code without running it, aiming to detect potential bugs, security vulnerabilities, and stylistic inconsistencies; helping developers save valuable time that would otherwise be spent on testing and merging code at later stages.
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What does a linter do, and what are the benefits of using one? From ensuring error-free code that is secure, consistent, and maintainable, to the impact on developers themselves a linting solution is an invaluable tool for every developer.
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Source code is made up of the instructions developers write to tell a computer what to do, and it’s fundamental to software development.
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Open source software fuels the backbone of modern technology, from personal projects to enterprise solutions, by providing accessible source code for examination, modification, and redistribution.
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Source code management (SCM) streamlines software development by organizing changes to code, ensuring accountability and efficiency throughout the process.
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Cyclomatic complexity serves as a vital gauge in computer science, quantifying a program's complexity by counting its independent paths.
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An Integrated Development Environment (IDE) is a comprehensive software application designed to assist developers in writing, compiling, and debugging their code efficiently.
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The rapid growth of generative AI and large language models introduces new security risks that are challenging to address due to the novelty of the field compared to established domains like web application security.
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Clean Code is code that’s easily understandable, portable, and capable to change through structure and consistency but remains maintainable, reliable, and secure for performance demands.
Clean Code is well-documented coding standards that are clear and concise for increasing developer collaboration and communication.
A clean codebase simplifies the principles and processes to introduce changes to your code allowing business goals and objectives to be prioritized. Ensuring code readability improves team collaboration, communication, and code review processes across your enterprise.
Clean Code as you write maintainable, readable quality code. Sonar’s tool kit allows you to continually review and make incremental clear quality improvements as you edit or write code. Deliver high-quality, efficient code standards that benefit the entire team or organization.
Clean Code is secure through early detection and feedback of security vulnerabilities and hotspots during code review.
Clean Code creates and sustains reliability. When your software is reliable, anywhere and anytime, it creates trust among your teams and customers.
Clean Code makes maintenance easy. A codebase that is maintainable enables an optimized development workflow for more scalable software.
