Table of Contents
Release Notes - December 2025
This month’s release is focused on helping you ship faster, stay in more control, and get clearer insight into how automation and AI support your delivery.
Reduced automation run time for Bitbucket and GitLab
Optimized git clone operations reduce run time and bandwidth usage for gitStream on Bitbucket and GitLab, helping you ship faster with less infrastructure strain.
New user-based triggers for tighter automation control
Ensure gitStream automations run only when the right people make changes. Use trigger.include.user and triggers.exclude.user to include or exclude bot accounts (e.g. Dependabot, Renovate, scanners), or limit specific automations to approved team members only. This can be valuable for teams that want different workflows for developers vs. automated tools. Read the docs.
Plugins now support 3rd party dependencies
Build more flexible gitStream plugins by loading pre-installed libraries (e.g. axios, moment, and lodash) or installing runtime dependencies for async workflows. Read the docs.
AI PR Review count now includes clean reviews
If you've been tracking the number of reviewed PRs in your AI Code Review metrics dashboard, you can expect a higher volume moving forward. PRs without issues are now included, improving visibility into automations your team is running and high-quality code your team creates.
New “LGTM” approval unlocks conditional workflows
is_LGTM is a new review output variable from the code-review action, indicating whether a pull request has received an explicit “looks good to me” approval. Review results are directly in your automation workflows, and enable you to build conditional logic that triggers only when a PR has been explicitly approved. Read the docs.
OPA v 4.1.3 upgrade
The OPA component now runs on v4.1.3, providing a more stable webhook receiver.
How did we do?
