Infield announces $3M funding to use AI to manage open-source dependency updates
Using LLMs and deep knowledge of common packages, Infield makes dependency management painless while handling breaking changes
Software organizations use hundreds of open source packages, from small utilities to whole platforms. The average software application depends on over 500 open source components. These packages and dependencies can get updated frequently, fixing security issues or improving reliability and performance. However, installing all dependency updates in the right order can be a headache. Some updates include "breaking changes", which can cause systems to stop working unless other changes or updates are made first.
"Engineers want to be running on the latest, newest open source versions, but it's just so much to keep track of," said
Infield is the first open-source dependency update manager that's focused on identifying breaking changes. Infield employs Large Language Models (LLMs) to ingest changelogs and spot any signs that a particular update could cause issues, combined with the company's deep database of popular open-source packages and users' experiences in upgrading them.
Infield manages the details of dependency updates, remediating breaking changes where required, as well as figuring out the optimal order for updates. Once connected for the first time, Infield quickly scans a company's dependencies and creates the pull requests needed to get up to date, even if the update backlog is months or years long.
Infield was founded by Steve and
"Open source dependency updates matter for security, compliance and performance, but they're also a part of building a world-class engineering culture" said
About Infield
Infield is on a mission to make open source software as safe and easy to update as Google Chrome. Using LLMs and deep knowledge of common packages, Infield makes dependency management painless while handling breaking changes.
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SOURCE Infield
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