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Breaches in software artifact integrity can have severe consequences. Bad actors poison artifacts by injecting malicious code into software packages, libraries, or container images, tricking developers and users into downloading compromised artifacts. These attacks can lead to data breaches, system takeovers, and widespread supply chain disruptions. Continued artifact poisoning incidents highlight the increasing risk to software supply chains.

As microservices architectures dominate modern application development, the ability to test, secure, and automate their deployment has become a vital skill. In this guide, you’ll learn how to: Let’s first set the stage by briefly exploring the foundational concepts of CI/CD and DevOps, which underpin the automation and agility required in development workflows.

Argo CD is a declarative continuous delivery (CD) tool for Kubernetes. Argo CD pulls Kubernetes configurations (such as manifests, Helm charts, and Kustomize overlays) from a Git repository and applies them to a Kubernetes cluster. With Argo CD, developers can automatically deploy changes to their Kubernetes environments by updating their Git repository. Argo CD continuously monitors Kubernetes deployments and ensures their state matches the configuration declared in Git.

Machine learning (ML) and artificial intelligence (AI) are often used interchangeably in tech discussions, yet they represent distinct concepts with important differences. While AI refers to the broader field of creating machines capable of intelligent behavior that mimics human capabilities, machine learning is a specific subset of AI focused on developing algorithms that allow computers to learn from and make predictions based on data.

As AI becomes increasingly central to modern software development, the ability to craft effective system prompts has emerged as a crucial skill. Whether you’re building a code generation tool, creating a chatbot, or developing AI-powered features, your success largely depends on how well you can communicate with AI models through prompts. At CircleCI, we’ve spent countless hours working with developers who are integrating AI into their applications.

Conan is a leading software package manager for C/C++ development environments. As an open source multi-platform package manager, it is used to create, manage and share native binaries and their dependencies based on C/C++ code. C/C++ is often the preferred language for developing embedded systems, mobile platforms, and real-time applications due to its low-level control, high performance, and direct memory management capabilities.

Serverless computing simplifies app development by abstracting away server management. Azure Functions provides a robust platform for event-driven, on-demand code execution. In this tutorial, we’ll create and deploy a Python-based Azure Function—one that parses incoming JSON—using CircleCI. For a more granular and enable programmatic access to Azure resources, we’ll use service principal for secure authentication and the Azure CLI orb to streamline our CI/CD pipeline.

Cascading Style Sheets (CSS) is the language used by developers to apply styles to documents written in a markup language. In front-end development, enforcing consistent CSS code quality is crucial: poorly written CSS can lead to issues ranging from poor maintainability, unexpected bugs, and inconsistent designs. One effective way to ensure CSS code quality is using a linter such as Stylelint.