All about artifact management, alongside 10 awesome benefits that any good Artifact Management platform will provide, including added security, traceability, and control. Efficiency and organization are key when it comes to continuous delivery. As teams work to deliver high-quality software at an increasingly fast pace, the need for effective management of the various components of the software development lifecycle has become paramount.

GitLab is a collaborative Git repository that fosters open-source development by offering both free open and private repositories. With its extensive features such as issue tracking and wikis, GitLab empowers teams to collaborate effectively and create exceptional software solutions. GitHub and Bitbucket are similar tools. CircleCI has launched support for Gitlab, so it is helpful to learn to use it. In this tutorial, I’ll show you how to push a project to GitLab.

Are you tired of using security tools that generate endless results, making it impossible to identify actual risks? Do you struggle with inefficient prioritization due to a lack of context, making the process of assessing and remediating vulnerabilities a time-consuming nightmare? Look no further than JFrog’s Contextual Analysis, available as part of the “jf audit” command in the JFrog CLI.

Every organization has a process for building and releasing software. Smaller organizations may run a few automated tests before releasing, while larger organizations may have 100s of scans, validations, and approvals spanning everything from technical to legal. Whatever the process is, the end goal is the same: software that’s mature enough for release. The challenge is that this process is complicated, messy, and often created in an ad hoc way, changing as organizations evolve.

It’s no surprise that AI is rapidly becoming the most powerful tool for developers. The ease of use and accuracy of such tools can even generate code snippets for a website written entirely on a napkin! While the potential of AI is exciting, it is crucial to address the potential vulnerabilities that bad actors can exploit within AI systems.