DEVOPSdigest

ActiveState unveiled Get Current, Stay Current (GCSC) – a continuous code refactoring service that deals with breaking changes so enterprises can stay current with the pace of open source.

Initially supporting Python, GCSC allows developers, security, and DevOps teams to collaborate seamlessly through ActiveState's Open Source Management platform where they can pull from a vast and securely built catalog of Python packages, setup portable developer environments that make testing and continuous integration easy to implement, schedule regular incremental runtime updates, and configure automatic code refactoring when there are breaking changes.

ActiveState's GCSC solution automates upgrades of open-source dependencies to secure, modern versions. It supports deployment across various environments, which ensures continuous delivery of updated dependencies and refactored code, helping businesses maintain software security and modernity with ease. Customers can manage upgrade policies using the ActiveState Code Analysis and Upgrade Engine to configure the cadence and versions of open source updates and whether code recommendations should apply to dependencies only or dependencies and first-party source code. The ActiveState platform computes an upgrade plan detailing the dependency updates, CVEs that will be removed, and the impact of breaking changes. ActiveState breaks down all the necessary changes into a series of pull requests and updates the project runtime allowing customers to simply review the impact of all proposed changes, run unit tests, and accept them into the mainline branch. The ActiveState platform continuously checks for new updates and alerts customers when it's time to perform an upgrade or if critical vulnerabilities have been detected that need immediate attention.

Each element of the code refactoring service is backed by a dedicated team of open source language engineers and researchers actively investigating and analyzing open source projects, hardening security, patching vulnerabilities, and adding new features. AI is leveraged to automate and simplify code refactoring and to modernize Python applications. This process eliminates the need for extensive research and testing to identify affected code. This comprehensive approach not only saves time but also significantly reduces the resources traditionally required to keep applications up-to-date and secure.