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Release Notes - July 2025

Smarter reviews, new AI commands, and stronger security for gitStream.

Karina Ung
Updated by Karina Ung

More accurate AI reviews with better context

We've enhanced Retrieval-Augmented-Generation (RAG) on-the-fly to detect issues when code calls functions defined outside the current PR context. This helps identify:

  • Incorrect argument types in function calls
  • Mismatched number of arguments
  • Missing await for async functions
  • Issues in JavaScript, Python, and other dynamic languages

PR reviews now include project ticket details to instantly identify mismatches between requirements and implementation. Here's what's new:

  • Automatically detect ticket keys in PRs
  • Pull relevant details from your project management tool
  • Flag scope gaps early in the process review

Trigger AI actions with commands - no config file needed

You can now run AI actions on demand by adding straightforward commands to your PR comments without needing a config file in the repo. Use commands such as:

  • /gs review to trigger an AI code review
  • /gs desc to generate a PR description
  • /gs help to see supported actions

This is currently available for GitHub, with GitLab and Bitbucket support coming soon. Read the docs.

More secure with built-in AI security guardrails

AI features now validate every prompt before processing. Guardrails, powered by Prompt-Guard-66M, block jailbreak attempts and protect against malicious prompt injections, keeping your systems more secure without slowing you down.

Improved AI for generating PR descriptions

AI-generated PR descriptions are now powered by Sonnet 4 to improve context and clarity. We've also migrated the PR description functionality to the pr_agent service to improve performance and maintainability.

Support for PRs with large files

The maximum file size for PRs has increased from 1MB to 5MB, and compression functionality is now supported to process PRs with larger files. When a PR exceeds the processing limit, you’ll also see clearer, actionable guidance on best practices to help keep reviews moving smoothly.

Metrics for AI code reviews

A new AI Code Review Metrics Dashboard gives you complete visibility into how AI performs across your teams, pulling in data from PRs monitored by gitStream. Track key metrics such as:

  • Number of reviewed PRs and total reviews to measure adoption
  • AI-generated suggestions and lines accepted to assess quality and trust
  • Issues detected across security, performance, maintainability, and readability

Filter by repos, contributor, or time range and share insights that matter most. Read the docs on metrics and findings.

Real-time system status

You can now monitor gitStream system statuses across GitHub, GitLab, and Bitbucket in real time. Check out linearbstatus.com.

Sunset: Resource Allocation emails

To reduce noise in your inbox, we've stopped sending email summaries on Resource Allocation. You'll still find everything you need in your LinearB dashboard, which has real-time data and filtering capabilities.

Archived release notes

View our previous release notes.

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